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Oze I, Ito H, Koyanagi YN, Abe SK, Rahman MS, Islam MR, Saito E, Gupta PC, Sawada N, Tamakoshi A, Shu XO, Sakata R, Malekzadeh R, Tsuji I, Kim J, Nagata C, You SL, Park SK, Yuan JM, Shin MH, Kweon SS, Pednekar MS, Tsugane S, Kimura T, Gao YT, Cai H, Pourshams A, Lu Y, Kanemura S, Wada K, Sugawara Y, Chen CJ, Chen Y, Shin A, Wang R, Ahn YO, Shin MH, Ahsan H, Boffetta P, Chia KS, Qiao YL, Rothman N, Zheng W, Inoue M, Kang D, Matsuo K. Obesity is associated with biliary tract cancer mortality and incidence: A pooled analysis of 21 cohort studies in the Asia Cohort Consortium. Int J Cancer 2024; 154:1174-1190. [PMID: 37966009 PMCID: PMC10873020 DOI: 10.1002/ijc.34794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 10/10/2023] [Accepted: 10/20/2023] [Indexed: 11/16/2023]
Abstract
Body fatness is considered a probable risk factor for biliary tract cancer (BTC), whereas cholelithiasis is an established factor. Nevertheless, although obesity is an established risk factor for cholelithiasis, previous studies of the association of body mass index (BMI) and BTC did not take the effect of cholelithiasis fully into account. To better understand the effect of BMI on BTC, we conducted a pooled analysis using population-based cohort studies in Asians. In total, 905 530 subjects from 21 cohort studies participating in the Asia Cohort Consortium were included. BMI was categorized into four groups: underweight (<18.5 kg/m2 ); normal (18.5-22.9 kg/m2 ); overweight (23-24.9 kg/m2 ); and obese (25+ kg/m2 ). The association between BMI and BTC incidence and mortality was assessed using hazard ratios (HR) and 95% confidence intervals (CIs) by Cox regression models with shared frailty. Mediation analysis was used to decompose the association into a direct and an indirect (mediated) effect. Compared to normal BMI, high BMI was associated with BTC mortality (HR 1.19 [CI 1.02-1.38] for males, HR 1.30 [1.14-1.49] for females). Cholelithiasis had significant interaction with BMI on BTC risk. BMI was associated with BTC risk directly and through cholelithiasis in females, whereas the association was unclear in males. When cholelithiasis was present, BMI was not associated with BTC death in either males or females. BMI was associated with BTC death among females without cholelithiasis. This study suggests BMI is associated with BTC mortality in Asians. Cholelithiasis appears to contribute to the association; and moreover, obesity appears to increase BTC risk without cholelithiasis.
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Affiliation(s)
- Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Sarah Krull Abe
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Md. Shafiur Rahman
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Md. Rashedul Islam
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan
| | - Eiko Saito
- Institute for Global Health Policy Research, National Center for Global Health and Medicine, Tokyo, Japan
| | - Prakash C. Gupta
- Healis - Sekhsaria Institute for Public Health, Navi Mumbai, India
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ritsu Sakata
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Jeongseon Kim
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, Taipei, Taiwan
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Gyeonggi-do, Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
| | | | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Takashi Kimura
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
- Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akram Pourshams
- Digestive Diseases Research institute, Tehran University of Medical Science, Tehran, Iran
| | - Yukai Lu
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, NYU Grossman School of Medicine
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - You-Lin Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Daehee Kang
- Seoul National University College of Medicine, Seoul, Korea
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Nang EEK, Nangia VB, Nankap M, Narake S, Narayan KMV, Nardone P, Naseri T, Nathalie M, Neal WA, Neelapaichit N, Nejatizadeh A, Nekkantti C, Nelis K, Nenko I, Neovius M, Nervi F, Ng TP, Nguyen CT, Nguyen ND, Nguyen QN, Ni MY, Nicolescu R, Nie P, Nieto-Martínez RE, Nikitin YP, Ning G, Ninomiya T, Nishi N, Nishtar S, Noale M, Noboa OA, Nogueira H, Nordendahl M, Nordestgaard BG, Norton KI, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoğlu I, Nunes B, Nurk E, Nuwaha F, Nyirenda M, O'Neill TW, O'Reilly D, Obreja G, Ochimana C, Ochoa-Avilés AM, Oda E, Odili AN, Oh K, Ohara K, Ohlsson C, Ohtsuka R, Olafsson Ö, Oldenburg B, Olinto MTA, Oliveira IO, Omar MA, Omar SM, Onat A, Ong SK, Onland-Moret NC, Ono LM, Onodugo O, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Ottendahl CB, Otu A, Overvad K, Owusu-Dabo E, Oyeyemi AY, Oyeyemi AL, Paccaud FM, Padez CP, Pagkalos I, Pahomova E, de Paiva KM, Pająk A, Pajula N, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Pang Z, Panza F, Paoli M, Papadopoulou SK, Papandreou D, Pareja RG, Park SW, Park S, Parnell WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pattussi M, Pavlyshyn H, Pechlaner R, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres MA, Perez-Londoño A, Pérez CM, Peterkova V, Peters A, Petkeviciene J, Petrauskiene A, Petrovna Kovtun O, Pettenuzzo E, Peykari N, Pfeiffer N, Phall MC, Pham ST, Phiri FP, Pichardo RN, Pierannunzio D, Pierre-Marie P, Pigeot I, Pikhart H, Pilav A, Piler P, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Platonova AG, Poh BK, Pohlabeln H, Polka NS, Pop RM, Popkin BM, Popovic SR, Porta M, Posch G, Poudyal A, Poulimeneas D, Pouraram H, Pourfarzi F, Pourshams A, Poustchi H, Price AJ, Price JF, Prista A, Providencia R, Puder JJ, Pudule I, Puhakka S, Puiu M, Punab M, Qadir MS, Qasrawi RF, Qiao Q, Qorbani M, Quintana HK, Quiroga-Padilla PJ, Quoc Bao T, Rach S, Radic I, Radisauskas R, Rahimikazerooni S, Rahman M, Rahman M, Raitakari O, Raj M, Rajabov T, Rakhmatulloev S, Rakovac I, Ramachandra Rao S, Ramachandran A, Ramadan OPC, Ramires VV, Ramirez-Zea M, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Ramsay SE, Rangelova LS, Rarra V, Rascon-Pacheco RA, Rashidi MM, Rech CR, Redon J, Reganit PFM, Regecová V, Renner JDP, Repasy JA, Reuter CP, Revilla L, Reynolds A, Rezaei N, Rezaianzadeh A, Rho Y, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, Rigotti A, Rinaldo N, Rinke de Wit TF, Risérus U, Rito AI, Ritti-Dias RM, Rivera JA, Roa RG, Robinson L, Roccaldo R, Rodrigues D, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Rodríguez AY, Roggenbuck U, Rohloff P, Rohner F, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Romeo EL, Rosario RV, Rosengren A, Rouse I, Rouzier V, Roy JGR, Ruano MH, Rubinstein A, Rühli FJ, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Ruiz Moreno E, Rusakova IA, Rusek W, Russell Jonsson K, Russo P, Rust P, Rutkowski M, Saamel M, Saar CG, Sabanayagam C, Sabbaghi H, Sacchini E, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saghi MH, Saidi O, Saieva C, Sakata S, Saki N, Šalaj S, Salanave B, Salazar Martinez E, Salhanova A, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Samoutian M, Sánchez-Abanto J, Sánchez Rodríguez I, Sandjaja, Sans S, Santa-Marina L, Santacruz E, Santos DA, Santos IS, Santos LC, Santos MP, Santos O, Santos R, Santos TR, Saramies JL, Sardinha LB, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Savy M, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt B, Schmidt CO, Schmidt IM, Schneider A, Schnohr P, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schultz G, Schulze MB, Schutte AE, Sebert S, Sedaghattalab M, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera G, Serra-Majem L, Servais J, Ševčíková Ľ, Sewpaul R, Shalnova S, Shamah-Levy T, Shamshirgaran SM, Shanthirani CS, Sharafkhah M, Sharma SK, Sharman A, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, Silva CRDM, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina EV, Skoblina NA, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Solovieva YV, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd EP, Sossa Jérome C, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stang A, Starc G, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Steinsbekk S, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suarez-Ortegón MF, Suebsamran P, Sugiyama M, Suka M, Sulo G, Sun CA, Sun L, Sund M, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szponar L, Tabone L, Tai ES, Takuro F, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tessema M, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thrift AG, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Topór-Mądry R, Torheim LE, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Twig G, Tynelius P, Tzala E, Tzotzas T, 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Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wichstrøm L, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wirth JP, Wojtyniak B, Woldeyohannes M, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan L, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, Yépez García M, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, Yotov Y, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zentai A, Zhang B, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zimmet P, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Zuziak M, Ezzati M. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403:1027-1050. [PMID: 38432237 PMCID: PMC7615769 DOI: 10.1016/s0140-6736(23)02750-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. METHODS We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5-19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). FINDINGS From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. INTERPRETATION The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. FUNDING UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union.
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Yang JJ, Wen W, Zahed H, Zheng W, Lan Q, Abe SK, Rahman MS, Islam MR, Saito E, Gupta PC, Tamakoshi A, Koh WP, Gao YT, Sakata R, Tsuji I, Malekzadeh R, Sugawara Y, Kim J, Ito H, Nagata C, You SL, Park SK, Yuan JM, Shin MH, Kweon SS, Yi SW, Pednekar MS, Kimura T, Cai H, Lu Y, Etemadi A, Kanemura S, Wada K, Chen CJ, Shin A, Wang R, Ahn YO, Shin MH, Ohrr H, Sheikh M, Blechter B, Ahsan H, Boffetta P, Chia KS, Matsuo K, Qiao YL, Rothman N, Inoue M, Kang D, Robbins HA, Shu XO. Lung Cancer Risk Prediction Models for Asian Ever-Smokers. J Thorac Oncol 2024; 19:451-464. [PMID: 37944700 DOI: 10.1016/j.jtho.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/19/2023] [Accepted: 11/04/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION Although lung cancer prediction models are widely used to support risk-based screening, their performance outside Western populations remains uncertain. This study aims to evaluate the performance of 11 existing risk prediction models in multiple Asian populations and to refit prediction models for Asians. METHODS In a pooled analysis of 186,458 Asian ever-smokers from 19 prospective cohorts, we assessed calibration (expected-to-observed ratio) and discrimination (area under the receiver operating characteristic curve [AUC]) for each model. In addition, we developed the "Shanghai models" to better refine risk models for Asians on the basis of two well-characterized population-based prospective cohorts and externally validated them in other Asian cohorts. RESULTS Among the 11 models, the Lung Cancer Death Risk Assessment Tool yielded the highest AUC (AUC [95% confidence interval (CI)] = 0.71 [0.67-0.74] for lung cancer death and 0.69 [0.67-0.72] for lung cancer incidence) and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Model had good calibration overall (expected-to-observed ratio [95% CI] = 1.06 [0.90-1.25]). Nevertheless, these models substantially underestimated lung cancer risk among Asians who reported less than 10 smoking pack-years or stopped smoking more than or equal to 20 years ago. The Shanghai models were found to have marginal improvement overall in discrimination (AUC [95% CI] = 0.72 [0.69-0.74] for lung cancer death and 0.70 [0.67-0.72] for lung cancer incidence) but consistently outperformed the selected Western models among low-intensity smokers and long-term quitters. CONCLUSIONS The Shanghai models had comparable performance overall to the best existing models, but they improved much in predicting the lung cancer risk of low-intensity smokers and long-term quitters in Asia.
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Affiliation(s)
- Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Surgery, University of Florida College of Medicine, Gainesville, Florida; University of Florida Health Cancer Center, Gainesville, Florida
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hana Zahed
- International Agency for Research on Cancer, Lyon, France
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Sarah K Abe
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Md Shafiur Rahman
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Md Rashedul Islam
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan
| | - Eiko Saito
- Institute for Global Health Policy Research, National Center for Global Health and Medicine, Tokyo, Japan
| | - Prakash C Gupta
- Healis - Sekhsaria Institute for Public Health Mahaleb, Navi Mumbai, India
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A∗STAR), Singapore, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China
| | - Ritsu Sakata
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Jeongseon Kim
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Sang-Wook Yi
- Department of Preventive Medicine and Public Health, Catholic Kwandong University College of Medicine, Gangneung, Republic of Korea
| | - Mangesh S Pednekar
- Healis - Sekhsaria Institute for Public Health Mahaleb, Navi Mumbai, India
| | - Takashi Kimura
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yukai Lu
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Arash Etemadi
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei City, Taiwan
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Heechoul Ohrr
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Mahdi Sheikh
- International Agency for Research on Cancer, Lyon, France
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Illinois
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Keitaro Matsuo
- Division Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - You-Lin Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | | | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
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Tsai YS, Chen YC, Chen TI, Lee YK, Chiang CJ, You SL, Hsu WL, Liao LJ. Incidence trends of oral cavity, oropharyngeal, hypopharyngeal and laryngeal cancers among males in Taiwan, 1980-2019: a population-based cancer registry study. BMC Cancer 2023; 23:213. [PMID: 36879234 PMCID: PMC9987053 DOI: 10.1186/s12885-023-10651-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 02/15/2023] [Indexed: 03/08/2023] Open
Abstract
In a country with a high prevalence of cigarette smoking, betel chewing, and alcohol drinking, cancers of the oral cavity, nasopharynx, and larynx were the fourth, twelfth and seventeenth leading causes of cancer death, respectively, for men in 2020. We analyzed patients with head and neck cancer from 1980 to 2019 from the Taiwan Cancer Registration Database and discussed the annual average percent change, average percent change, age period, and birth cohort. Obvious period effects and birth effects are seen in oral, oropharyngeal, and hypopharyngeal cancer; however, the most significant period effect was seen between 1990 and 2009, which mainly reflects the consumption of betel nuts per capita. In addition, the period effect lessens after 2010 in oral cancer and hypopharyngeal cancers, while oropharyngeal cancers remain an obvious period effect, which results from the rising prevalence of HPV. Due to the high prevalence rate of betel quid chewing and cigarette smoking in the 1990s, the government executed several acts. As a result, the age-adjusted incidence rates of oral, oropharyngeal, and hypopharyngeal cancers have flattened since 2010, which can be explained by the declining cigarette smoking rate. The strict policy indeed shows an obvious effect on the head and neck cancer incidence rates, and we expect to see a further decline in the future.
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Affiliation(s)
- Yu-Shiun Tsai
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, 242, Taiwan
| | - Yong-Chen Chen
- Master Program of Big Data Analysis in Biomedicine, College of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan.,Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan
| | - Tzu-I Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City, 242062, Taiwan
| | - Yu-Kwang Lee
- Division of General Surgery, Department of Surgery, National Taiwan University Hospital, Taipei, 100, Taiwan
| | - Chun-Ju Chiang
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, 10055, Taiwan
| | - San-Lin You
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, 242, Taiwan.,Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan
| | - Wan-Lun Hsu
- Master Program of Big Data Analysis in Biomedicine, College of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan. .,Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan.
| | - Li-Jen Liao
- Otolaryngology Head and Neck Surgery, Far Eastern Memorial Hospital, No. 21, Sec. 2, Nanya S. Rd., Banciao Dist., New Taipei City, 220, Taiwan. .,Head and Neck Cancer Surveillance & Research Group, Far Eastern Memorial Hospital, New Taipei, Taiwan. .,Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan.
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A, Rinaldo N, Rinke de Wit TF, Rito AI, Ritti-Dias RM, Rivera JA, Roa RG, Robinson L, Robitaille C, Roccaldo R, Rodrigues D, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rodríguez AY, Roggenbuck U, Rohloff P, Rohner F, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Romeo EL, Rosario RV, Rosengren A, Rouse I, Rouzier V, Roy JGR, Ruano MH, Rubinstein A, Rühli FJ, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Moreno ER, Rusakova IA, Jonsson KR, Russo P, Rust P, Rutkowski M, Saamel M, Sabanayagam C, Sabbaghi H, Sacchini E, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saghi MH, Saidi O, Saki N, Šalaj S, Salanave B, Martinez ES, Saleva C, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Samoutian M, Sánchez-Abanto J, Rodríguez IS, Sandjaja, Sans S, Marina LS, Santacruz E, Santos DA, Santos IS, Santos LC, Santos MP, Santos O, Santos R, Santos TR, Saramies JL, Sardinha LB, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Savy M, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Rosario AS, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schneider A, Schnohr P, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schulze MB, Schutte AE, Sebert S, Sedaghattalab M, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera G, Serra-Majem L, Servais J, Ševčíková Ľ, Shalnova S, Shamah-Levy T, Shamshirgaran SM, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, de Moura Silva CR, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina NA, Skodje G, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd EP, Jérome CS, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suka M, Sun CA, Sun L, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szklo M, Szponar L, Tabone L, Tai ES, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Braunerová RT, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thuesen BH, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Mądry R, Torheim LE, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tsao YH, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Vargas LN, Varona-Pérez P, Vasan SK, Vasques DG, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Verloigne M, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Voutilainen A, Vrijheid M, Vrijkotte TGM, Wade AN, Waldhör T, Walton J, Wambiya EOA, Bebakar WMW, Mohamud WNW, de Souza Wanderley Júnior R, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Webster-Kerr K, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojciech R, Wojtyniak B, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, García MY, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Cisneros JZ, Zuziak M, Bhutta ZA, Black RE, Ezzati M. Diminishing benefits of urban living for children and adolescents' growth and development. Nature 2023; 615:874-883. [PMID: 36991188 PMCID: PMC10060164 DOI: 10.1038/s41586-023-05772-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 01/30/2023] [Indexed: 03/31/2023]
Abstract
Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1-6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5-19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m-2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified.
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Rich T, Chrisinger BW, Kaimal R, Winter SJ, Hedlin H, Min Y, Zhao X, Zhu S, You SL, Sun CA, Lin JT, Hsing AW, Heaney C. Contemplative Practices Behavior Is Positively Associated with Well-Being in Three Global Multi-Regional Stanford WELL for Life Cohorts. Int J Environ Res Public Health 2022; 19:13485. [PMID: 36294068 PMCID: PMC9603492 DOI: 10.3390/ijerph192013485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/02/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Positive associations between well-being and a single contemplative practice (e.g., mindfulness meditation) are well documented, yet prior work may have underestimated the strength of the association by omitting consideration of multiple and/or alternative contemplative practices. Moreover, little is known about how contemplative practice behavior (CPB) impacts different dimensions of well-being. This study investigates the relationship of CPB, consisting of four discrete practices (embodied somatic-observing, non-reactive mindfulness, self-compassion, and compassion for others), with multiple dimensions of well-being. As with other canonical lifestyle behaviors, multiple contemplative practices can be integrated into one's daily routine. Thus, it is critical to holistically consider these behaviors, extending them beyond a simple uni-dimensional measure (e.g., daily mindfulness meditation practice). We developed an integrative measure of four types of contemplative practice and found it to be significantly associated with a multi-dimensional measure of well-being. Importantly, our findings were from three large global multi-regional cohorts and compared against better-understood lifestyle behaviors (physical activity). Data were drawn from California/San Francisco Bay Area, (n = 6442), Hangzhou City (n = 10,268), and New Taipei City (n = 3033). In all three cohorts, we found statistically significant (p < 0.05) positive associations between CPB and well-being, both overall and with all of the constituent domains of well-being, comparable to or stronger than the relationship with physical activity across most well-being outcomes. These findings provide robust and cross-cultural evidence for a positive association between CPB and well-being, illuminate dimensions of well-being that could be most influenced by CPB, and suggest CPB may be useful to include as part of fundamental lifestyle recommendations for health and well-being.
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Affiliation(s)
- Tia Rich
- Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA 94035, USA
| | | | | | - Sandra J. Winter
- Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA 94035, USA
| | - Haley Hedlin
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA 94035, USA
| | - Yan Min
- Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA 94035, USA
- Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Xueyin Zhao
- Chronic Disease Research Institute, The Children’s Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Shankuan Zhu
- Chronic Disease Research Institute, The Children’s Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - San-Lin You
- School of Medicine, Data Science Center, College of Medicine Fu-Jen Catholic University, New Taipei City 24205, Taiwan
| | - Chien-An Sun
- School of Medicine, Data Science Center, College of Medicine Fu-Jen Catholic University, New Taipei City 24205, Taiwan
| | - Jaw-Town Lin
- Department of Gastroenterology and Hepatology, E-Da Hospital, Kaohsiung City 82445, Taiwan
| | - Ann W. Hsing
- Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA 94035, USA
- Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford University, Stanford, CA 94305, USA
- Stanford Cancer Institute, Stanford School of Medicine, Stanford University, Stanford, CA 94035, USA
| | - Catherine Heaney
- Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA 94035, USA
- Department of Psychology, Stanford University, Stanford, CA 94305, USA
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Hsu CH, Lin YJ, Chen YC, Liu IL, You SL, Hu JM, Lin TC, Chang PK, Chen CY, Chou YC, Sun CA. Human Papillomavirus and Risk of Colorectal Cancer: An Analysis of Nationwide Claims Data. Medicina (B Aires) 2022; 58:medicina58101461. [PMID: 36295621 PMCID: PMC9610003 DOI: 10.3390/medicina58101461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 01/24/2023] Open
Abstract
Background and Objectives: Although human papillomavirus (HPV) is a major etiology of cervical and anogenital cancers, whether it is associated with colorectal carcinogenesis is yet undetermined. Materials and Methods: The longitudinal association of HPV infection with colorectal cancer (CRC) was evaluated using 2000-2013 data from a nationwide Taiwanese claims database. In this retrospective cohort study, 358 patients with primary HPV diagnoses (HPV-infected cohort) and 1432 patients without such a diagnosis (HPV-uninfected cohort) were recruited between 2000 and 2006. Both cohorts were followed up to identify CRC incidences from 2006 to 2013. Hazard ratios (HRs) and their 95% confidence intervals (CIs) derived from Cox proportional hazards models were used to estimate the association between HPV and CRC risk. Results: The HPV-infected cohort had a significantly higher cumulative incidence of CRC than the HPV-uninfected cohort. The presence of HPV was associated with an increased risk of CRC (adjusted HR, 1.63; 95% CI, 1.02-3.62). Furthermore, the significant HPV-CRC risk association was evident in both sexes. Conclusions: This population-based cohort study reveals longitudinal evidence that HPV is associated with an increased risk of CRC. Further studies are required to verify the role of HPV in colorectal carcinogenesis.
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Affiliation(s)
- Chih-Hsiung Hsu
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan
| | - Yu-Jyun Lin
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan
| | - Yong-Chen Chen
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Data Science Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - I-Lan Liu
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Data Science Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - Je-Ming Hu
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City 114, Taiwan
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan
| | - Tzu-Chiao Lin
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan
| | - Pi-Kai Chang
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City 114, Taiwan
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan
| | - Chao-Yang Chen
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan
- Correspondence: (Y.-C.C.); (C.-A.S.)
| | - Chien-An Sun
- Data Science Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Correspondence: (Y.-C.C.); (C.-A.S.)
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Liu WS, Shen LJ, Tian H, Zhai QH, Li DZ, Song FJ, Xin SJ, You SL. [ABC prognostic classification and MELD 3.0 and COSSH-ACLF Ⅱ prognostic evaluation in acute-on-chronic liver failure]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:976-980. [PMID: 36299192 DOI: 10.3760/cma.j.cn501113-20220308-00103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the ABC prognostic classification and the updated version of Model for End-stage Liver Disease (MELD) score 3.0 and Chinese Group on the Study of Severe Hepatitis B ACLF Ⅱ score (COSSH-ACLF Ⅱ score) to evaluate the prognostic value in acute-on-chronic liver failure (ACLF). Methods: ABC classification was performed on a 1 409 follow-up cohorts. The area under the receiver operating characteristic curve (AUROC) was used to analyze MELD, MELD 3.0, COSSH-Ⅱ and COSSH-Ⅱ score after 3 days of hospitalization (COSSH-Ⅱ-3d). The prognostic predictive ability of patients were evaluated for 360 days, and the prediction differences of different classifications and different etiologies on the prognosis of ACLF were compared. Results: The survival curve of 1 409 cases with ACLF showed that the difference between class A, B, and C was statistically significant, Log Rank (Mantel-Cox) χ2=80.133, P<0.01. Compared with class A and C, χ2=76.198, P<0.01, the difference between class B and C, was not statistically significant χ2=3.717, P>0.05. AUROC [95% confidence interval (CI)] analyzed MELD, MELD 3.0, COSSH-Ⅱ and COSSH-Ⅱ-3d were 0.644, 0.655, 0.817 and 0.839, respectively (P<0.01). COSSH-Ⅱ had better prognostic predictive ability with class A ACLF and HBV-related ACLF (HBV-ACLF) for 360-days, and AUROC (95% CI) were 0.877 and 0.881, respectively (P<0.01), while MELD 3.0 prognostic predictive value was not better than MELD. Conclusion: ACLF prognosis is closely related to ABC classification. COSSH-Ⅱ score has a high predictive value for the prognostic evaluation of class A ACLF and HBV-ACLF. COSSH-Ⅱ score has a better prognostic evaluation value after 3 days of hospitalization, suggesting that attention should be paid to the treatment of ACLF in the early stage of admission.
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Affiliation(s)
- W S Liu
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - L J Shen
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - H Tian
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - Q H Zhai
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - D Z Li
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - F J Song
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - S J Xin
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
| | - S L You
- Liver Disease Department, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
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Zhu B, Tian H, Song FJ, Li DZ, Liu SH, Dong JH, Lyu S, You SL. [Abernethy malformation associated with COACH syndrome in a patient with TMEM67 mutation: a case report]. Zhonghua Nei Ke Za Zhi 2022; 61:1052-1055. [PMID: 36008300 DOI: 10.3760/cma.j.cn112138-20220107-00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- B Zhu
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
| | - H Tian
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
| | - F J Song
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
| | - D Z Li
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
| | - S H Liu
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
| | - J H Dong
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
| | - S Lyu
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
| | - S L You
- Department of Hepatology, the Fifth Medical Center,Chinese PLA General Hospital, Beijing 100039, China
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10
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Huang CJ, Tian H, Lvy S, You SL, Liu SH, Zhu B. [A case of cholelithiasis that seems like secondary hemochromatosis as a result of congenital dyserythropoietic anemia]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:895-898. [PMID: 36207948 DOI: 10.3760/cma.j.cn-501113-20211112-00547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- C J Huang
- Senior Department of Hepatology, the Fifth Medical Center of PLA General Hospital, Beijing 100039, China Department of Internal Medicine, Qujing First People's Hospital, Qujing 655000, China
| | - H Tian
- Senior Department of Hepatology, the Fifth Medical Center of PLA General Hospital, Beijing 100039, China
| | - S Lvy
- Senior Department of Hepatology, the Fifth Medical Center of PLA General Hospital, Beijing 100039, China
| | - S L You
- Senior Department of Hepatology, the Fifth Medical Center of PLA General Hospital, Beijing 100039, China
| | - S H Liu
- Department of Pathology, the Fifth Medical Center of PLA General Hospital, Beijing 100039, China
| | - B Zhu
- Senior Department of Hepatology, the Fifth Medical Center of PLA General Hospital, Beijing 100039, China
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Lin CR, Lee YK, Chiang CJ, Yang YW, Chang HC, You SL. Secular trends of intrahepatic cholangiocarcinoma in a high endemic area: A population-based study. World J Gastroenterol 2022; 28:3695-3705. [PMID: 36161044 PMCID: PMC9372811 DOI: 10.3748/wjg.v28.i28.3695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/30/2022] [Accepted: 06/30/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Intrahepatic cholangiocarcinoma (ICC) is one of the most aggressive malignancies. However, because of its scarcity there are limited population-based data available for investigations into its epidemiologic characteristics. In Taiwan, we have a national cancer registry database that can be used to evaluate the secular trends of ICC.
AIM To evaluate secular trends of ICC according to age, sex, and risk factors in Taiwan.
METHODS In this population-based study, we used the national Taiwan Cancer Registry database. Age-standardized and relative percent changes in incidence rates were used to describe secular trends in incidence rates and sex ratios of ICC in Taiwan.
RESULTS The age-standardized ICC incidence rate among males increased from 1.51 per 100000 in 1993-1997 to 4.07 per 100000 in 2013-2017 and among female from 1.73 per 100000 to 2.95 per 100000. The incidence in females tended to plateau after 2008-2012. For males, the ICC incidence increased as age increased. In the long-term incidence trend of ICC in females, the incidence of the four age groups (40-44, 45-49, 50-54 and 55-59 years) remained stable in different years; although, the incidence of the 60-64 group had a peak in 2003-2007, and the peak incidence of the 65-69 and 70-74 groups occurred in 2008-2012. Among males, beginning at the age of 65, there were increases in the incidence of ICC for the period of 2003-2017 as compared with females in the period of 2003-2017.
CONCLUSION Increased incidence of ICC occurred in Taiwan over the past two decades. The increased incidence has progressively shifted toward younger people for both males and females.
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Affiliation(s)
- Chun-Ru Lin
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City 242008, Taiwan
| | - Yu-Kwang Lee
- Department of Surgery, National Taiwan University Hospital, Taipei 100229, Taiwan
| | - Chun-Ju Chiang
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 10055, Taiwan
| | - Ya-Wen Yang
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 10055, Taiwan
| | - Hung-Chuen Chang
- Division of Gastroenterology, Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei 111045, Taiwan
| | - San-Lin You
- School of Medicine and Data Science Center, Fu Jen Catholic University, New Taipei City 242008, Taiwan
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12
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Chiang CJ, Jhuang JR, Yang YW, Zhuang BZ, You SL, Lee WC, Chen CJ. Association of Nationwide Hepatitis B Vaccination and Antiviral Therapy Programs With End-Stage Liver Disease Burden in Taiwan. JAMA Netw Open 2022; 5:e2222367. [PMID: 35849394 PMCID: PMC9295001 DOI: 10.1001/jamanetworkopen.2022.22367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
IMPORTANCE Chronic infections of hepatitis B and C viruses are the main causes of end-stage liver disease (ESLD) worldwide. The successful control of viral hepatitis is critical to reducing the burden of ESLD. OBJECTIVE To examine the association of 2 world-first nationwide neonatal hepatitis B vaccinations and national antiviral therapy programs implemented in Taiwan (in 1984 and 2003, respectively) with the burden of ESLD. DESIGN, SETTING, AND PARTICIPANTS This cohort study included children and adults aged 5 to 39 years from the National Cancer Registry Database and the National Death Registry Database between 1979 and 2018 in Taiwan. Individuals who died from chronic liver disease (CLD) and cirrhosis and hepatocellular carcinoma (HCC) or were diagnosed with HCC were included for analysis. Analyses were performed in January 2021. MAIN OUTCOMES AND MEASURES The main outcomes were measures of age, period, and cohort associations with CLD mortality and HCC incidence and mortality using an age-period-cohort analysis. RESULTS Among the 43 604 individuals (mean [SD] age, 33.3 [6.0] years; 37 755 men [86.6%]) with ESLD in the cohort, there were 17 904 CLD deaths, 11 504 HCC deaths, and 14 196 HCC incident events. There was a significant increase in all 3 disease burdens after age 20 years. From 2004 to 2018, CLD mortality decreased by 26% (adjusted rate ratio [aRR], 0.74; 95% CI, 0.70-0.82), HCC mortality decreased by 50% (aRR, 0.50; 95% CI, 0.45-0.58), and HCC incidence decreased by 53% (aRR, 0.47; 95% CI, 0.44-0.52). A sharply declining association by cohort was observed from the 1982 to 1986 birth cohort to the 2007 to 2011 birth cohort, during which CLD mortality decreased by 82% (aRR, 0.18; 95% CI, 0.00-1.13), HCC mortality decreased by 63% (aRR, 0.37; 95% CI, 0.09-0.68), and HCC incidence decreased by 80% (aRR, 0.20; 95% CI, 0.00-0.48). The associations of age, period, and cohort were similar between male and female individuals and between urban and rural areas. The percentage of chronic hepatitis B infections in patients with HCC decreased from 83.3% (95% CI, 79.7%-86.5%) for those born from 1980 to 1984 to 55.6% (95% CI, 21.2%-86.3%) (from 2000 to 2004). CONCLUSIONS AND RELEVANCE These findings suggest that the national hepatitis B vaccination program and the antiviral therapy program jointly were associated with substantial reductions in the burden of ESLD in Taiwan.
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Affiliation(s)
- Chun-Ju Chiang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - Jing-Rong Jhuang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - Ya-Wen Yang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - Bo-Zhi Zhuang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - San-Lin You
- College of Medicine and Big Data Research Centre, Fu-Jen Catholic University, New Taipei, Taiwan
| | - Wen-Chung Lee
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Taiwan Cancer Registry, Taipei, Taiwan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- College of Medicine, Fu-Jen Catholic University, New Taipei, Taiwan
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13
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Leung CY, Huang HL, Abe SK, Saito E, Islam MR, Rahman MS, Ikeda A, Sawada N, Tamakoshi A, Gao YT, Koh WP, Shu XO, Sakata R, Tsuji I, Kim J, Park SK, Nagata C, You SL, Yuan JM, Shin MH, Pan WH, Tsugane S, Kimura T, Wen W, Cai H, Ozasa K, Matsuyama S, Kanemura S, Sugawara Y, Shin A, Wada K, Chen CJ, Wang R, Ahn YO, Ahsan H, Boffetta P, Chia KS, Matsuo K, Qiao YL, Rothman N, Zheng W, Kang D, Inoue M. Association of Marital Status With Total and Cause-Specific Mortality in Asia. JAMA Netw Open 2022; 5:e2214181. [PMID: 35639382 PMCID: PMC9157263 DOI: 10.1001/jamanetworkopen.2022.14181] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
IMPORTANCE Marital status has been shown to be associated with mortality, but evidence in Asian populations is limited. OBJECTIVE To examine the association of marital status with total and cause-specific mortality. DESIGN, SETTING, AND PARTICIPANTS This cohort study included individual participant data from 16 prospective studies in the Asia Cohort Consortium conducted between 1963 and 2015. Asian participants with complete information on marital and vital status were included. Study-specific hazard ratios (HRs) and 95% CIs were estimated using Cox proportional hazards model and then pooled using a random-effects meta-analysis. The analysis began in February 2021 and ended in August 2021. EXPOSURES Marital status. MAIN OUTCOMES AND MEASURES All-cause and cause-specific mortality. RESULTS Of 623 140 participants (326 397 women [52.4%] and 296 743 men [47.6%]; mean [SD] age, 53.7 [10.2] years; mean [SD] follow-up time, 15.5 [6.1] years), 123 264 deaths were ascertained. Compared with married individuals, those who were unmarried had pooled HRs of 1.15 (95% CI, 1.07-1.24) for total mortality, 1.12 (95% CI, 1.03-1.22) for cerebrovascular disease mortality, 1.20 (95% CI, 1.09-1.31) for coronary heart disease mortality, 1.17 (95% CI, 1.07-1.28) for circulatory system diseases mortality, 1.06 (95% CI, 1.01-1.11) for cancer mortality, 1.14 (95% CI, 1.05-1.23) for respiratory diseases mortality, and 1.19 (95% CI, 1.05-1.34) for external causes of death. Positive associations with total mortality were also observed for those who were single (HR, 1.62; 95% CI, 1.41-1.86), separated (HR, 1.35; 95% CI, 1.13-1.61), divorced (HR, 1.38; 95% CI, 1.13-1.69), and widowed (HR, 1.09; 95% CI, 1.04-1.13). In subgroup analyses, the positive association persisted across baseline health conditions, and the risk of death was more pronounced among men or people younger than 65 years. CONCLUSIONS AND RELEVANCE This large pooled cohort study of individual participant data provides strong evidence that being unmarried, as well as belonging to the unmarried subcategories, was positively associated with total and cause-specific mortality. Investment of targeted social support services might need to be considered in light of the mortality differences between married and unmarried individuals.
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Affiliation(s)
- Chi Yan Leung
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Hsi-Lan Huang
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Sarah Krull Abe
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Eiko Saito
- Institute for Global Health Policy Research, National Center for Global Health and Medicine, Tokyo, Japan
| | - Md. Rashedul Islam
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Md. Shafiur Rahman
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Ai Ikeda
- Juntendo University, School of Medicine, Department of Public Health, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ritsu Sakata
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Jeongseon Kim
- Graduate School of Science and Policy, National Cancer Center, Gyeonggi-do, Republic of Korea
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - San-Lin You
- School of Medicine and Big Data Research Center, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Takashi Kimura
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Wanqing Wen
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hui Cai
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kotaro Ozasa
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Sanae Matsuyama
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Keitaro Matsuo
- Division Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - You-Lin Qiao
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Daehee Kang
- College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Department of Cancer Epidemiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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14
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Lee S, Jang J, Abe SK, Rahman S, Saito E, Islam R, Gupta PC, Sawada N, Tamakoshi A, Shu XO, Koh WP, Sadakane A, Tsuji I, Kim J, Oze I, Nagata C, You SL, Shin MH, Pednekar MS, Tsugane S, Cai H, Yuan JM, Wen W, Ozasa K, Matsuyama S, Kanemura S, Shin A, Ito H, Wada K, Sugawara Y, Chen CJ, Ahn YO, Chen Y, Ahsan H, Boffetta P, Chia KS, Matsuo K, Qiao YL, Rothman N, Zheng W, Inoue M, Kang D, Park SK. Association between body mass index and oesophageal cancer mortality: a pooled analysis of prospective cohort studies with >800 000 individuals in the Asia Cohort Consortium. Int J Epidemiol 2022; 51:1190-1203. [PMID: 35229874 PMCID: PMC9365631 DOI: 10.1093/ije/dyac023] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 02/03/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The association between body mass index (BMI) and oesophageal cancer (OC) has been consistently negative among Asians, whereas different associations based on histological OC subtypes have been observed in Europeans and North Americans. We examined the association between BMI and OC mortality in the Asia Cohort Consortium. METHODS We performed a pooled analysis to evaluate the association between BMI and OC mortality among 842 630 Asians from 18 cohort studies. Cox regression models were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS A wide J-shaped association between BMI and overall OC mortality was observed. The OC mortality risk was increased for underweight (BMI <18.5 kg/m2: HR = 2.20, 95% CI 1.80-2.70) and extreme obesity (BMI ≥35 kg/m2: HR = 4.38, 95% CI 2.25-8.52) relative to the reference BMI (23-25 kg/m2). This association pattern was confirmed by several alternative analyses based on OC incidence and meta-analysis. A similar wide J-shaped association was observed in oesophageal squamous cell carcinoma (OSCC). Smoking and alcohol synergistically increased the OC mortality risk in underweight participants (HR = 6.96, 95% CI 4.54-10.67) relative to that in reference BMI participants not exposed to smoking and alcohol. CONCLUSION Extreme obesity and being underweight were associated with an OC mortality risk among Asians. OC mortality and BMI formed a wide J-shaped association mirrored by OSCC mortality. Although the effect of BMI on OSCC and oesophageal adenocarcinoma mortality can be different in Asians, further research based on a large case-control study is recommended.
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Affiliation(s)
- Sangjun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Jieun Jang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Sarah Krull Abe
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shafiur Rahman
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan,Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control & Information Services, National Cancer Center, Tokyo, Japan
| | - Rashedul Islam
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan,Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Prakash C Gupta
- Healis—Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, Singapore, Singapore,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Jeongseon Kim
- Graduate School of Science and Policy, National Cancer Center, Goyang, Korea
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Naogya, Japan
| | - Chisato Nagata
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, Taipei, Taiwan
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mangesh S Pednekar
- Healis—Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hui Cai
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wanqing Wen
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Kotaro Ozasa
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Sanae Matsuyama
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan,Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keiko Wada
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, New York University School of Medicine, New York, USA
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Naogya, Japan,Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - You-Lin Qiao
- Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Manami Inoue
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sue K Park
- Corresponding author. Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongro-gu, Seoul 03080, Korea. E-mail:
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15
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Lai YL, Chiang CJ, Chen YL, You SL, Chen YY, Chiang YC, Tai YJ, Hsu HC, Chen CA, Cheng WF. Increased risk of second primary malignancies among endometrial cancer survivors receiving surgery alone: A population-based analysis. Cancer Med 2021; 10:6845-6854. [PMID: 34523816 PMCID: PMC8495277 DOI: 10.1002/cam4.3861] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 02/02/2021] [Indexed: 01/17/2023] Open
Abstract
Background Women with endometrial cancer (EC) have favorable prognoses, leaving them vulnerable to the development of second primary cancers (SPCs). We investigated the SPC risk and survival outcomes among EC patients treated with surgery alone in order to exclude the impact of adjuvant treatment on the results. Methods Data from the Taiwan Cancer Registry from 1995 to 2013 were analyzed. Standardized incidence ratios (SIRs) of SPCs among EC survivors were calculated. Results Among 7725 women enrolled, 478 developed an SPC. The overall SIR for SPCs in EC survivors was 2.84 (95% confidence interval [CI] 2.59–3.10) compared with the general female population. Women diagnosed with EC at age <50 years had a higher SIR for an SPC than those diagnosed at age ≥50 years (SIR = 4.38 vs. 1.28). The most frequent site of an SPC was the small intestine (SIR = 8.39, 95% CI 2.72–19.58), followed by the kidney (SIR = 4.84, 95% CI 1.78–10.54), and oral cavity (SIR = 4.52, 95% CI 2.17–8.31). Women, regardless of age at EC diagnosis, had significantly higher SIRs for subsequent breast, colorectal, lung, and thyroid cancer, and lymphoma. Women with an SPC had shorter overall survival than those without (5‐year: 88.9 vs. 94.2%, 10‐year: 71.3 vs. 89.8%, 15‐year: 62.3 vs. 86.1%, and 20‐year: 47.6 vs. 81.1%, all ps<0.001). Conclusions Even women treated for EC with surgery alone, especially young EC survivors, had an increased risk of SPCs. Genetic counseling/testing is recommended for young EC patients, and all are recommended to receive regular surveillance and screening for breast, colorectal, and lung cancers.
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Affiliation(s)
- Yen-Ling Lai
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan.,Department of Obstetrics and Gynecology, National Taiwan University Hospital, Hsin-Chu City, Taiwan
| | - Chun-Ju Chiang
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Taiwan Cancer Registry, Taipei, Taiwan
| | - Yu-Li Chen
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan
| | - San-Lin You
- Department of Public Health, College of Medicine and Big Data Research Centre, Fu-Jen Catholic University, New Taipei City, Taiwan
| | | | - Ying-Cheng Chiang
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan
| | - Yi-Jou Tai
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan
| | - Heng-Cheng Hsu
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan.,Department of Obstetrics and Gynecology, National Taiwan University Hospital, Hsin-Chu City, Taiwan.,Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan
| | - Chi-An Chen
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan
| | - Wen-Fang Cheng
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan
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16
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Lin YT, Chiang CJ, Yang YW, Huang SP, You SL. Secular decreasing trends in gastric cancer incidence in Taiwan: A population-based cancer registry study. World J Gastroenterol 2021; 27:5764-5774. [PMID: 34629800 PMCID: PMC8473596 DOI: 10.3748/wjg.v27.i34.5764] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/11/2021] [Accepted: 08/06/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Gastric cancer remains a leading cause of cancer death worldwide. In Taiwan, gastric cancer is the sixth leading cause of cancer mortality in both males and females.
AIM To evaluate secular trends in gastric cancer incidence according to age, sex, and Helicobacter pylori (H. pylori) treatment in Taiwan.
METHODS In this population-based study, we used the national Taiwan Cancer Registry database. Annual percent changes in incidence rates were used to describe secular trends in incidence rates and sex ratios of gastric cancer in Taiwan. Pearson’s product-moment correlation coefficients were used to analyze the correlation between annual age-adjusted incidence rates and the annual number of patients treated with antibiotic therapy for H. pylori infection.
RESULTS The annual percent changes showed continuously decreasing rates of gastric cancer among both males and females. However, the decreasing trends differed by sex, with an annual percent change of -2.58% in males and -2.14% in females. The age-specific incidence rates increased with age. Within the same age group, more recent time periods showed lower incidence rates than greater time periods. Similarly, the sex ratio was lower in later birth cohorts than in earlier birth cohorts. Age-adjusted incidence rates substantially decreased with increasing numbers of patients being treated with antibiotic therapy for H. pylori infection during 2005 to 2016 (r = 0.72).
CONCLUSION We observed steadily decreasing trends with differential sex ratios in the incidence of gastric cancer in Taiwan. These results support H. pylori eradication programs in Taiwan.
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Affiliation(s)
- Yen-Tzeng Lin
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City 242008, Taiwan
| | - Chun-Ju Chiang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 10617, Taiwan
| | - Ya-Wen Yang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 10617, Taiwan
| | - Shih-Pei Huang
- Department of Medical Education & Bioethics, Graduate Institute of Medical Education & Bioethics, National Taiwan University College of Medicine, Taipei 10051, Taiwan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, New Taipei City 242008, Taiwan
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Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, Gregg EW, Bennett JE, Solomon B, Singleton RK, Sophiea MK, Iurilli MLC, Lhoste VPF, Cowan MJ, Savin S, Woodward M, Balanova Y, Cifkova R, Damasceno A, Elliott P, Farzadfar F, He J, Ikeda N, Kengne AP, Khang YH, Kim HC, Laxmaiah A, Lin HH, Margozzini Maira P, Miranda JJ, Neuhauser H, Sundström J, Varghese C, Widyahening IS, Zdrojewski T, Abarca-Gómez L, Abdeen ZA, Abdul Rahim HF, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadi A, Ahmadi N, Ahmadi N, Ahmadizar F, Ahmed SH, Ahrens W, Ajlouni K, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Aly E, Amarapurkar DN, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Anjana RM, Ansari-Moghaddam A, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Auvinen J, Avdićová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Banadinović M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Belavendra A, Ben Romdhane H, Benet M, Benson LS, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bhargava SK, Bia D, Biasch K, Bika Lele EC, Bikbov MM, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bojesen SE, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Boyer CB, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Briceño Y, Brito M, Bruno G, Bueno-de-Mesquita HB, Bueno G, Bugge A, Burns C, Bursztyn M, Cabrera de León A, Cacciottolo J, Cameron C, Can G, Cândido APC, Capanzana MV, Čapková N, Capuano E, Capuano V, Cardoso VC, Carlsson AC, Carvalho J, Casanueva FF, Censi L, Cervantes-Loaiza M, Chadjigeorgiou CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chee ML, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Cherkaoui Dekkaki I, Chetrit A, Chien KL, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Csilla S, Cui L, Cureau FV, Cuschieri S, D'Arrigo G, d'Orsi E, Dallongeville J, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Delisle H, Demarest S, Dennison E, Deschamps V, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dörr M, Doua K, Dragano N, Drygas W, Duante CA, Duboz P, Duda RB, Dulskiene V, Dushpanova A, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elosua R, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Fattahi MR, Fawwad A, Felix-Redondo FJ, Felix SB, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferreira HS, Ferrer E, Ferrieres J, Figueiró TH, Fink G, Fischer K, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Fumihiko M, Furdela V, Furer A, Furusawa T, Gaciong Z, Galbarczyk A, Galenkamp H, Galvano F, Gao J, Gao P, Garcia-de-la-Hera M, Garcia P, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gazzinelli A, Gehring U, Geleijnse JM, George R, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gieger C, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Goldberg M, Goldsmith RA, Gomez LF, Gomula A, Gonçalves H, Gonçalves M, Gonçalves Cordeiro da Silva B, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grosso G, Gruden G, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Hari Kumar R, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He Y, Heier M, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herqutanto, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Holdsworth M, Homayounfar R, Horasan Dinc G, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huiart L, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Ibrahim Wong N, Ikram MA, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jóżwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalpourtzi N, Kalter-Leibovici O, Kampmann FB, Kannan S, Karaglani E, Kårhus LL, Karki KB, Katibeh M, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim J, Klakk H, Klimek M, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Kontto JP, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kratenova J, Kriaucioniene V, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kulaga Z, Kumar RK, Kurjata P, Kusuma YS, Kutsenko V, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Latt TS, Le Coroller G, Le Nguyen Bao K, Le TD, Lee J, Lee J, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin X, Lin YT, Lind L, Lingam V, Linneberg A, Lissner L, Litwin M, Lo WC, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukačević Lovrenčić I, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lustigová M, Luszczki E, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marcil A, Mårild SB, Marinović Glavić M, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mascarenhas LP, Matasin M, Mathiesen EB, Mathur P, Matijasevich A, Matlosz P, Matsha TE, Mavrogianni C, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Mendoza Montano C, Menezes AMB, Menon GR, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Mirjalili MR, Mirrakhimov E, Mišigoj-Duraković M, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mostafavi SA, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muhihi AJ, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musa KI, Musić Milanović S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Ndiaye NC, Neal WA, Nejatizadeh A, Nenko I, Neovius M, Nguyen CT, Nguyen ND, Nguyen QV, Nguyen QN, Nieto-Martínez RE, Niiranen TJ, Nikitin YP, Ninomiya T, Nishtar S, Njelekela MA, Noale M, Noboa OA, Noorbala AA, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nunes B, O'Neill TW, O'Reilly D, Ochimana C, Oda E, Odili AN, Oh K, Ohara K, Ohtsuka R, Olié V, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Paiva KMD, Pająk A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Paoli M, Papandreou D, Park SW, Park S, Parnell WR, Parsaeian M, Pasquet P, Patel ND, Pavlyshyn H, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres KGDA, Peres MA, Peters A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Polašek O, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Providencia R, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Queiroz D, Quoc Bao T, Radić I, Radisauskas R, Rahimikazerooni S, Rahman M, Raitakari O, Raj M, Rakhimova EM, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Rarra V, Rech CR, Redon J, Reganit PFM, Regecová V, Revilla L, Rezaianzadeh A, Ribeiro R, Riboli E, Richter A, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Rusakova IA, Russo P, Rutkowski M, Sabanayagam C, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saidi O, Sakarya S, Saki N, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Santos LC, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Schipf S, Schmidt CO, Schnohr P, Schöttker B, Schramm S, Schultsz C, Schutte AE, Sebert S, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Servais J, Shalnova SA, Shamah-Levy T, Shamshirgaran M, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva CRDM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Sørensen TIA, Sørgjerd EP, Sorić M, Sossa Jérome C, Soumaré A, Sparboe-Nilsen B, Sparrenberger K, Staessen JA, Starc G, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Suka M, Sun CA, Sung YT, Suriyawongpaisal P, Sy RG, Syddall HE, Sylva RC, Szklo M, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thijs L, Thinggaard M, Thomas N, Thorand B, Thuesen BH, Timmermans EJ, Tjandrarini DH, Tjonneland A, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Touloumi G, Traissac P, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsugane S, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzourio C, Ueda P, Ugel E, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Minh H, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Varbo A, Vasan SK, Vega T, Veidebaum T, Velasquez-Melendez G, Veronesi G, Verschuren WMM, Verstraeten R, Victora CG, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Wu FC, Wu S, Wyszynska J, Xu H, Xu L, Yaacob NA, Yan W, Yang L, Yang X, Yang Y, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhen S, Zheng Y, Zholdin B, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet 2021; 398:957-980. [PMID: 34450083 PMCID: PMC8446938 DOI: 10.1016/s0140-6736(21)01330-1] [Citation(s) in RCA: 938] [Impact Index Per Article: 312.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING WHO.
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Chung SC, Marlow S, Tobias N, Alogna A, Alogna I, You SL, Khunti K, McKee M, Michie S, Pillay D. Lessons from countries implementing find, test, trace, isolation and support policies in the rapid response of the COVID-19 pandemic: a systematic review. BMJ Open 2021; 11:e047832. [PMID: 34187854 PMCID: PMC8251680 DOI: 10.1136/bmjopen-2020-047832] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To systematically learn lessons from the experiences of countries implementing find, test, trace, isolate, support (FTTIS) in the first wave of the COVID-19 pandemic. DESIGN, DATA SOURCES AND ELIGIBILITY CRITERIA We searched MEDLINE (PubMed), Cochrane Library, SCOPUS and JSTOR, initially between 31 May 2019 and 21 January 2021. Research articles and reviews on the use of contact tracing, testing, self-isolation and quarantine for COVID-19 management were included in the review. DATA EXTRACTION AND SYNTHESIS We extracted information including study objective, design, methods, main findings and implications. These were tabulated and a narrative synthesis was undertaken given the diverse research designs, methods and implications. RESULTS We identified and included 118 eligible studies. We identified the core elements of an effective find, test, trace, isolate, support (FTTIS) system needed to interrupt the spread of a novel infectious disease, where treatment or vaccination was not yet available, as pertained in the initial stages of the COVID-19 pandemic. We report methods used to shorten case finding time, improve accuracy and efficiency of tests, coordinate stakeholders and actors involved in an FTTIS system, support individuals isolating and make appropriate use of digital tools. CONCLUSIONS We identified in our systematic review the key components of an FTTIS system. These include border controls, restricted entry, inbound traveller quarantine and comprehensive case finding; repeated testing to minimise false diagnoses and pooled testing in resource-limited circumstances; extended quarantine period and the use of digital tools for contact tracing and self-isolation. Support for mental or physical health and livelihoods is needed for individuals undergoing self-isolation/quarantine. An integrated system with rolling-wave planning can best use effective FTTIS tools to respond to the fast-changing COVID-19 pandemic. Results of the review may inform countries considering implementing these measures.
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Affiliation(s)
- Sheng-Chia Chung
- Institute of Health Informatics, University College London, London, UK
| | - Sushila Marlow
- Department of Chemical Engineering, University College London, London, UK
| | - Nicholas Tobias
- Bartlett School of Planning, University College London, London, UK
| | | | - Ivano Alogna
- British Institute of International and Comparative Law, London, UK
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Martin McKee
- European Centre on Health of Societies in Transition, London School of Hygiene and Tropical Medicine, London, UK
| | - Susan Michie
- Centre for Behaviour Change, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Deenan Pillay
- Division of Infection and Immunity, University College London, London, UK
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Huang HY, Chiang CJ, Chen YY, You SL, Hsu HC, Tang CH, Cheng WF. Chemotherapeutic Regimens and Chemotherapy-Free Intervals Influence the Survival of Patients with Recurrent Advanced Epithelial Ovarian Carcinoma: A Retrospective Population-Based Study. Int J Environ Res Public Health 2021; 18:ijerph18126629. [PMID: 34202996 PMCID: PMC8296477 DOI: 10.3390/ijerph18126629] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 06/11/2021] [Accepted: 06/14/2021] [Indexed: 12/16/2022]
Abstract
We aimed to evaluate factors influencing the outcomes of patients with platinum-sensitive recurrent epithelial ovarian carcinoma (EOC). Patients with advanced-stage EOC, who received debulking surgery and adjuvant chemotherapy for recurrence, were obtained from the National Health Insurance Research database of Taiwan between 2000 and 2013. A total of 1038 patients with recurrent advanced-stage EOC were recruited. The platinum + paclitaxel (PT) group had the best five-year overall survival (OS) compared with the other three groups (p < 0.001). The hazard ratios (HRs) of five-year OS for the platinum + liposomal doxorubicin (PD), topotecan (TOP), and pegylated liposomal doxorubicin (PLD) groups were 1.21 (p = 0.07), 1.35 (p = 0.016), and 1.80 (p < 0.001), respectively, compared with the PT group. The PT group also had lower hazard ratios of five-year OS for patients with platinum therapy-free interval (TFIp) between 6 and 12 months compared with the other three groups (p < 0.0001). However, the HRs of five-year OS did not differ between the PT and PD groups in patients with TFIp >12 months. Patients with TFIp >12 months had lower HRs of five-year OS compared with those with TFIp of 6–12 months, regardless of whether they were treated with platinum-based (p = 0.001) or non-platinum-based (p = 0.003) regimens. Chemotherapeutic regimens and TFIp influenced the outcomes of patients with recurrent EOC. For patients with TFIp of 6–12 months, the PT regimen is the first choice based on their best overall survival result. For patients with TFIp >12 months, either platinum-based or non-platinum regimens could be used because of their similar excellent overall survival.
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Affiliation(s)
- Hsin-Ying Huang
- School of Health Care Administration, Taipei Medical University, Taipei 106, Taiwan; (H.-Y.H.); (C.-H.T.)
| | - Chun-Ju Chiang
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan;
- Taiwan Cancer Registry, Taipei 100, Taiwan
| | - Yun-Yuan Chen
- Taiwan Blood Services Foundation, Taipei 100, Taiwan;
| | - San-Lin You
- School of Medicine, College of Medicine and Big Data Research Centre, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
| | - Heng-Cheng Hsu
- National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu City 300, Taiwan
- Graduate Institute of Clinical Medicine, National Taiwan University, Taipei 100, Taiwan
- Correspondence: (H.-C.H.); (W.-F.C.); Tel.: +886-3-5326151 (H.-C.H.); +886-2-23123456 (ext. 71964) (W.-F.C.); Fax: +886-2-2311-4965 (H.-C.H.); +886-2-2311-4965 (W.-F.C.)
| | - Chao-Hsiun Tang
- School of Health Care Administration, Taipei Medical University, Taipei 106, Taiwan; (H.-Y.H.); (C.-H.T.)
| | - Wen-Fang Cheng
- Graduate Institute of Clinical Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Obstetrics and Gynecology, National Taiwan University, Taipei 100, Taiwan
- Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Correspondence: (H.-C.H.); (W.-F.C.); Tel.: +886-3-5326151 (H.-C.H.); +886-2-23123456 (ext. 71964) (W.-F.C.); Fax: +886-2-2311-4965 (H.-C.H.); +886-2-2311-4965 (W.-F.C.)
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SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Ko Zaw K, Zdrojewski T, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Cisneros JZ, Zuziak M, Ezzati M, Filippi S. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. eLife 2021; 10:e60060. [PMID: 33685583 PMCID: PMC7943191 DOI: 10.7554/elife.60060] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nayu Ikeda
- National Institutes of Biomedical Innovation, Health and Nutrition
| | | | | | | | - Jing Liu
- Capital Medical University Beijing An Zhen Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Shoaib Afzal
- University of Copenhagen
- Copenhagen University Hospital
| | | | | | | | | | | | | | - Ali Ahmadi
- Shahrekord University of Medical Sciences
| | | | | | | | | | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics
| | | | | | | | | | | | | | | | | | | | | | | | - Eman Aly
- World Health Organization Regional Office for the Eastern Mediterranean
| | | | - Parisa Amiri
- Research Center for Social Determinants of Health
| | | | | | | | | | | | | | | | | | - Joana Araújo
- Institute of Public Health of the University of Porto
| | | | | | | | | | | | | | | | | | | | | | | | - Shina Avi
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology
| | | | | | | | | | | | | | | | | | | | | | | | - Judith Benedics
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | - Hongsheng Bi
- Shandong University of Traditional Chinese Medicine
| | - Yufang Bi
- Shanghai Jiao-Tong University School of Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - João Breda
- World Health Organization Regional Office for Europe
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- Council for Agricultural Research and Economics
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- The Gertner Institute for Epidemiology and Health Policy Research
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- Canadian Fitness and Lifestyle Research Institute
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- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | - Luc Dauchet
- University of Lille
- Lille University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jia Li Duan
- Beijing Center for Disease Prevention and Control
| | | | | | | | | | | | | | - Anar Dushpanova
- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Günther Fink
- Swiss Tropical and Public Health Institute
- University of Basel
| | | | | | | | - Heba M Fouad
- World Health Organization Regional Office for the Eastern Mediterranean
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- Victor Babes University of Medicine and Pharmacy Timisoara
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- Institut National de la Santé et de la Recherche Médicale
- Paris University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yin Guo
- Capital Medical University Beijing Tongren Hospital
| | | | - Rajeev Gupta
- Eternal Heart Care Centre and Research Institute
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- Beijing Institute of Ophthalmology
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- National Research Institute for Health and Family Planning
| | - Yuna He
- Chinese Center for Disease Control and Prevention
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- Institute of Public Health of the University of Porto
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- Institute of Molecular and Clinical Ophthalmology Basel
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- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | - Joanne Katz
- Johns Hopkins Bloomberg School of Public Health
| | | | | | | | | | | | | | | | | | - Roya Kelishadi
- Research Institute for Primordial Prevention of Non-communicable Disease
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Slawomir Koziel
- PASs Hirszfeld Institute of Immunology and Experimental Therapy
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- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
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- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Xu Ma
- National Research Institute for Health and Family Planning
| | | | | | | | | | - Stefania Maggi
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | - Bernard Maire
- French National Research Institute for Sustainable Development
| | | | | | - Päivi Mäki
- Finnish Institute for Health and Welfare
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jaume Marrugat
- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jie Mi
- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marie Moitry
- University of Strasbourg
- Strasbourg University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jorge Motta
- Instituto Conmemorativo Gorgas de Estudios de la Salud
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jana Námešná
- Banska Bystrica Regional Authority of Public Health
| | | | | | | | | | | | | | | | | | | | - Keiu Nelis
- National Institute for Health Development
| | - Liis Nelis
- National Institute for Health Development
| | | | | | | | | | | | | | | | - Yury P Nikitin
- SB RAS Federal Research Center Institute of Cytology and Genetics
| | - Guang Ning
- Shanghai Jiao-Tong University School of Medicine
| | | | | | - Marianna Noale
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | | | | | | | | | | | - Eha Nurk
- National Institute for Health Development
| | | | | | | | | | | | | | - Kyungwon Oh
- Korea Centers for Disease Control and Prevention
| | | | - Claes Ohlsson
- University of Gothenburg
- Sahlgrenska University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Domenico Palli
- Institute for Cancer Research, Prevention and Clinical Network
| | | | | | | | | | | | - Francesco Panza
- IRCCS Ente Ospedaliero Specializzato in Gastroenterologia S. de Bellis
| | | | | | - Suyeon Park
- Korea Centers for Disease Control and Prevention
| | | | | | - Ionela M Pascanu
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology - BIPS
| | | | | | | | | | | | | | | | | | | | | | - Raluca M Pop
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | - Miquel Porta
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Puiu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | - Manu Raj
- Amrita Institute of Medical Sciences
| | | | | | - Ivo Rakovac
- World Health Organization Regional Office for Europe
| | | | | | | | | | - Rafel Ramos
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ana Rito
- National Institute of Health Doutor Ricardo Jorge
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Paola Russo
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | - Nader Saki
- Ahvaz Jundishapur University of Medical Sciences
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Savvas Savva
- Research and Education Institute of Child Health
| | - Mathilde Savy
- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Aletta E Schutte
- University of New South Wales
- The George Institute for Global Health
| | | | | | | | - Abhijit Sen
- Center for Oral Health Services and Research Mid-Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alfonso Siani
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | | | | | | | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Igor Spiroski
- Institute of Public Health
- Ss. Cyril and Methodius University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health
| | | | | | | | | | | | | | | | | | | | | | | | | | - Lucjan Szponar
- National Institute of Public Health – National Institute of Hygiene
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pierre Traissac
- French National Research Institute for Sustainable Development
| | | | | | | | - Oanh TH Trinh
- University of Medicine and Pharmacy at Ho Chi Minh City
| | | | | | | | | | | | | | | | | | | | | | - Gilad Twig
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | - Eunice Ugel
- Universidad Centro-Occidental Lisandro Alvarado
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anette Varbo
- Copenhagen University Hospital
- University of Copenhagen
| | | | | | | | - Tomas Vega
- Consejería de Sanidad Junta de Castilla y León
| | | | | | | | | | | | | | | | - Lucie Viet
- National Institute for Public Health and the Environment
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ningli Wang
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | - Adelheid Weber
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bogdan Wojtyniak
- National Institute of Public Health - National Institute of Hygiene
| | | | | | | | | | - Jean Woo
- The Chinese University of Hong Kong
| | | | | | - Jianfeng Wu
- Shandong University of Traditional Chinese Medicine
| | | | | | - Haiquan Xu
- Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs
| | - Liang Xu
- Beijing Institute of Ophthalmology
| | | | | | - Weili Yan
- Children's Hospital of Fudan University
| | | | | | - Yang Yang
- Shanghai Educational Development Co. Ltd
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yi Zeng
- Peking University
- Duke University
| | | | | | - Dong Zhao
- Capital Medical University Beijing An Zhen Hospital
| | | | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention
| | | | | | | | - Maigeng Zhou
- Chinese Center for Disease Control and Prevention
| | - Dan Zhu
- Inner Mongolia Medical University
| | - Marie Zins
- Institut National de la Santé et de la Recherche Médicale
- Paris University
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21
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Chen CJ, You SL, Hsu WL, Yang HI, Lee MH, Chen HC, Chen YY, Liu J, Hu HH, Lin YJ, Chu YJ, Huang YT, Chiang CJ, Chien YC. Epidemiology of Virus Infection and Human Cancer. Recent Results Cancer Res 2021; 217:13-45. [PMID: 33200360 DOI: 10.1007/978-3-030-57362-1_2] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Seven viruses including the Epstein-Barr virus (EBV), hepatitis B virus (HBV), hepatitis C virus (HCV), Kaposi's sarcoma herpes virus (KSHV), human immunodeficiency virus, type-1 (HIV-1), human T cell lymphotrophic virus, type-1 (HTLV-1), and human papillomavirus (HPV) have been classified as Group 1 human carcinogens by the International Agency for Research on Cancer (IARC). The conclusions are based on the findings of epidemiological and mechanistic studies. EBV, HPV, HTLV-1, and KSHV are direct carcinogens; HBV and HCV are indirect carcinogens through chronic inflammation; and HIV-1 is an indirect carcinogen through immune suppression. Some viruses may cause more than one cancer, while some cancers may be caused by more than one virus. However, only a proportion of persons infected by these oncogenic viruses will develop specific cancers. A series of studies have been carried out to assess the viral, host, and environmental cofactors of EBV-associated nasopharyngeal carcinoma, HBV/HCV-associated hepatocellular carcinoma, and HPV-associated cervical carcinoma. Persistent infection, high viral load, and viral genotype are important risk predictors of these virus-caused cancers. Risk calculators incorporating host and viral risk predictors have been developed for the prediction of long-term risk of hepatocellular carcinoma, nasopharyngeal carcinoma and cervical cancer. These risk calculators are useful for the triage and clinical management of infected patients. Both clinical trials and national programs of immunization, antiviral therapy and screening have demonstrated a significant reduction in the incidence of cancers caused by HBV, HCV, and HPV. Future research on gene-gene and gene-environment interactions of oncogenic viruses and the human host using large-scale longitudinal studies with serial measurements of biosignatures are in urgent need.
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Affiliation(s)
- Chien-Jen Chen
- Genomics Research Center, Academia Sinica, 128 Academia Road, Sect. 2, Taipei, 115, Taiwan.
| | - San-Lin You
- School of Medicine and Big Data Research Centre, Fu-Jen Catholic University, New Taipei, Taiwan
| | - Wan-Lun Hsu
- Genomics Research Center, Academia Sinica, 128 Academia Road, Sect. 2, Taipei, 115, Taiwan
| | - Hwai-I Yang
- Genomics Research Center, Academia Sinica, 128 Academia Road, Sect. 2, Taipei, 115, Taiwan
| | - Mei-Hsuan Lee
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Hui-Chi Chen
- Genomics Research Center, Academia Sinica, 128 Academia Road, Sect. 2, Taipei, 115, Taiwan
| | | | - Jessica Liu
- Department of Pediatrics, Perinatal Epidemiology and Health Outcomes Research Unit, Stanford University School of Medicine and Lucile Packard Children's Hospital, Palo Alto, CA, USA
- California Perinatal Quality Care Collaborative, Palo Alto, CA, USA
| | - Hui-Han Hu
- Department of Translational Science, Preclinical Research, PharmaEngine Inc., Taipei, Taiwan
| | - Yu-Ju Lin
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Ju Chu
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Yen-Tsung Huang
- Institute of Statistical Sciences, Academia Sinica, Taipei, Taiwan
| | - Chun-Ju Chiang
- Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Yin-Chu Chien
- Genomics Research Center, Academia Sinica, 128 Academia Road, Sect. 2, Taipei, 115, Taiwan
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22
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Chen LY, Lin HJ, Wu WT, Chen YC, Chen CL, Kao J, You SL, Chou YC, Sun CA. Clinical Use of Acid Suppressants and Risk of Dementia in the Elderly: A Pharmaco-Epidemiological Cohort Study. Int J Environ Res Public Health 2020; 17:E8271. [PMID: 33182362 PMCID: PMC7664895 DOI: 10.3390/ijerph17218271] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Results of studies regarding the potential link between acid suppressant use and dementia risk are inconsistent. This study aimed to evaluate the association of cumulative exposure to histamine 2 receptor antagonists (H2RAs) and proton pump inhibitors (PPIs) with dementia risk in an Asian older cohort aged ≥65 years. METHODS Patients initiating H2RA (the H2RA user cohort, n = 21,449) or PPI (the PPI user cohort, n = 6584) and those without prescription for H2RA (the H2RA non-user cohort, n = 21,449) or PPI (the PPI non-user cohort, n = 6584) between 1 January 2000 and 31 December 2005 without a prior history of dementia were identified from Taiwan's National Health Insurance Research Database (NHIRD). The outcome of interest was all-cause dementia. Patients' exposure to H2RAs or PPIs was followed-up from dates of initial prescription to the earliest outcome of incident dementia, death, or the end of 2013. Potential associations between acid suppressant use and dementia risk were analyzed using time-dependent Cox regression estimated hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS After mutual adjustment for H2RA and PPI use and other potential confounders, patients with H2RA use had significantly higher risk of developing dementia as compared to those not treated with H2RAs (adjusted HR, 1.84; 95% CI, 1.49-2.20). Likewise, PPI users had significantly elevated risk of dementia compared to PPI non-users (adjusted HR, 1.42; 95% CI, 1.07-1.84). CONCLUSIONS Our results indicate that exposures to H2RAs and PPIs are associated with increased dementia risk.
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Affiliation(s)
- Liang-Yu Chen
- Department of Pharmacy Practice, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan; (L.-Y.C.); (W.-T.W.)
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (C.-L.C.); (J.K.)
| | - Huey-Juan Lin
- Department of Neurology, Chi-Mei Medical Center, Tainan City 710, Taiwan;
| | - Wen-Tung Wu
- Department of Pharmacy Practice, Tri-Service General Hospital, National Defense Medical Center, Taipei City 114, Taiwan; (L.-Y.C.); (W.-T.W.)
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (C.-L.C.); (J.K.)
| | - Yong-Chen Chen
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan; (Y.-C.C.); (S.-L.Y.)
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - Cheng-Li Chen
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (C.-L.C.); (J.K.)
| | - Jing Kao
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (C.-L.C.); (J.K.)
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan; (Y.-C.C.); (S.-L.Y.)
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (C.-L.C.); (J.K.)
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. METHODS For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5-19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. FINDINGS We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9-10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes-gaining too little height, too much weight for their height compared with children in other countries, or both-occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. INTERPRETATION The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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Chou YC, Chan PC, Yang T, You SL, Bai CH, Sun CA. Apolipoprotein B Level and the Apolipoprotein B/Apolipoprotein A-I Ratio as a Harbinger of Ischemic Stroke: A Prospective Observation in Taiwan. Cerebrovasc Dis 2020; 49:487-494. [PMID: 32950994 DOI: 10.1159/000509452] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 06/16/2020] [Indexed: 11/19/2022] Open
Abstract
AIM Prospective studies indicate that apolipoprotein (apo) measurements predict coronary heart disease risk. However, few population-based follow-up studies have addressed the predictive value of apo measurements in stroke risk. The aims of the present study were to analyze the predictive ability of apo measurements in the risk of ischemic stroke. METHODS Serum apo A-I and apo B levels and calculated apo B/apo A-I ratio were measured at baseline in 2002 in a cohort of 4,204 participants who were followed for a mean of 4.61 years for a stroke event. RESULTS After adjustment for potential confounders, a significantly stepwise increase in the incidence rate of stroke across quartiles of both apo B and the apo B/apo A-I ratio was evident in both genders and across age-groups. The predictive ability of apo B to detect ischemic stroke was comparable with that of the apo B/apo A-I ratio. Furthermore, both apo B and the apo B/apo A-I ratio were better predictors of the risk of ischemic stroke than total cholesterol (TC), low-density lipoprotein cholesterol, and the TC/high-density lipoprotein cholesterol ratio. CONCLUSIONS This cohort study demonstrates that apo B and the apo B/apo A-I ratio were a significant risk predictor of stroke. Furthermore, the predictive ability of apo B and the apo B/apo A-I ratio in stroke risk was better than routine clinical lipid measurements. Thus, measurements of apolipoproteins have superior clinical utility over traditional lipid measurements in identifying subjects at risk for ischemic stroke.
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Affiliation(s)
- Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Po-Chi Chan
- Department of Neurology, Show-Chwan Memorial Hospital, Changhua County, Taiwan
| | - Tsan Yang
- Department of Health Business Administration, Meiho University, Pingtung County, Taiwan
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chyi-Huey Bai
- Department of Public Health, College of Public Health, Taipei Medical University, Taipei City, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan, .,Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan,
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Taddei C, Zhou B, Bixby H, Carrillo-Larco RM, Danaei G, Jackson RT, Farzadfar F, Sophiea MK, Di Cesare M, Iurilli MLC, Martinez AR, Asghari G, Dhana K, Gulayin P, Kakarmath S, Santero M, Voortman T, Riley LM, Cowan MJ, Savin S, Bennett JE, Stevens GA, Paciorek CJ, Aekplakorn W, Cifkova R, Giampaoli S, Kengne AP, Khang YH, Kuulasmaa K, Laxmaiah A, Margozzini P, Mathur P, Nordestgaard BG, Zhao D, Aadahl M, Abarca-Gómez L, Rahim HA, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahluwalia TS, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Ajlouni K, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Aly E, Amarapurkar DN, Amouyel P, Andersen LB, Anderssen SA, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assunção MCF, Auvinen J, Avdicová M, Azevedo A, Azizi F, Azmin M, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Belavendra A, Ben Romdhane H, Benet M, Benn M, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhargava SK, Bi Y, Bienek A, Bikbov M, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Boehm BO, Boggia JG, Boissonnet CP, Bonaccio M, Bongard V, Borchini R, Borghs H, Bovet P, Brajkovich I, Breckenkamp J, Brenner H, Brewster LM, Bruno G, Bugge A, Busch MA, de León AC, Cacciottolo J, Can G, Cândido APC, Capanzana MV, Capuano E, Capuano V, Cardoso VC, Carvalho J, Casanueva FF, Censi L, Chadjigeorgiou CA, Chamukuttan S, Chaturvedi N, Chen CJ, Chen F, Chen S, Cheng CY, Cheraghian B, Chetrit A, Chiou ST, Chirlaque MD, Cho B, Cho Y, Chudek J, Claessens F, Clarke J, Clays E, Concin H, Confortin SC, Cooper C, Costanzo S, Cottel D, Cowell C, Crujeiras AB, Csilla S, Cui L, Cureau FV, D’Arrigo G, d’Orsi E, Dallongeville J, Damasceno A, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Dennison E, Deschamps V, Dhimal M, Di Castelnuovo AF, Dika Z, Djalalinia S, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dragano N, Drygas W, Du Y, Duante CA, Duda RB, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El Ati J, Eldemire-Shearer D, Eliasen M, Elosua R, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fall CH, Faramarzi E, Farjam M, Fattahi MR, Felix-Redondo FJ, Ferguson TS, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Franco OH, Frontera G, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Galvano F, Gao J, Garcia-de-la-Hera M, Garnett SP, Gaspoz JM, Gasull M, Gazzinelli A, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Goltzman D, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graff-Iversen S, Grafnetter D, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Gu D, Guallar-Castillón P, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Gunnlaugsdottir J, Gupta R, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Hambleton IR, Hamzeh B, Hantunen S, Kumar RH, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, Hendriks ME, Henriques A, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Homayounfar R, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Huerta JM, Huhtaniemi IT, Huisman M, Hunsberger ML, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Wong NI, Iglesia I, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, al-Safi Ismail A, Iwasaki M, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jensen GB, Jeong SL, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Józwiak J, Juolevi A, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kamstrup PR, Karki KB, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Keinänen-Kiukaanniemi S, Kelishadi R, Keramati M, Kerimkulova A, Kersting M, Khader YS, Khalili D, Khateeb M, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim HC, Kim J, Kim YY, Klumbiene J, Knoflach M, Ko S, Kohler HP, Kohler IV, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kujala UM, Kurjata P, Kyobutungi C, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou CP, Lanska V, Lappas G, Larijani B, Latt TS, Laugsand LE, Lazo-Porras M, Lee J, Lee J, Lehmann N, Lehtimäki T, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lin YT, Lind L, Linneberg A, Lissner L, Liu J, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Ma G, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Makdisse M, Malekzadeh F, Malekzadeh R, Rao KM, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marques-Vidal P, Martorell R, Mascarenhas LP, Mathiesen EB, Matsha TE, Mavrogianni C, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Menezes AMB, Menon GR, Merat S, Mereke A, Meshram II, Metcalf P, Meyer HE, Mi J, Michels N, Miller JC, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mirrakhimov E, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Yusoff MFM, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Moosazadeh M, Morejon A, Moreno LA, Morgan K, Morin SN, Moschonis G, Mossakowska M, Mostafa A, Mota J, Motlagh ME, Motta J, Msyamboza KP, Muiesan ML, Müller-Nurasyid M, Mursu J, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nauck M, Neal WA, Nejatizadeh A, Nenko I, Nervi F, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Nihal T, Niiranen TJ, Ning G, Ninomiya T, Noale M, Noboa OA, Noto D, Nsour MA, Nuhoğlu I, O’Neill TW, O’Reilly D, Ochoa-Avilés AM, Oh K, Ohtsuka R, Olafsson Ö, Olié V, Oliveira IO, Omar MA, Onat A, Ong SK, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Owusu-Dabo E, Paccaud FM, Pahomova E, Pajak A, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Parnell WR, Patel ND, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peters A, Petersmann A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pilav A, Pilotto L, Piwonska A, Pizarro AN, Plans-Rubió P, Plata S, Pohlabeln H, Porta M, Portegies MLP, Poudyal A, Pourfarzi F, Poustchi H, Pradeepa R, Price JF, Providencia R, Puder JJ, Puhakka SE, Punab M, Qorbani M, Bao TQ, Radisauskas R, Rahimikazerooni S, Raitakari O, Rao SR, Ramachandran A, Ramos E, Ramos R, Rampal L, Rampal S, Redon J, Reganit PFM, Revilla L, Rezaianzadeh A, Ribeiro R, Richter A, Rigo F, Rinke de Wit TF, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Sadjadi A, Safarpour AR, Safiri S, Saidi O, Saki N, Salanave B, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santaliestra-Pasías AM, Santos DA, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva SC, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Scheidt-Nave C, Schienkiewitz A, Schipf S, Schmidt CO, Schöttker B, Schramm S, Sebert S, Sein AA, Sen A, Sepanlou SG, Servais J, Shakeri R, Shalnova SA, Shamah-Levy T, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Skaaby T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Sørensen TIA, Jérome CS, Soumaré A, Sozmen K, Sparrenberger K, Staessen JA, Stathopoulou MG, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Suriyawongpaisal P, Sy RG, Sylva RC, Szklo M, Tai ES, Tamosiunas A, Tan EJ, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tell GS, Tello T, Thankappan KR, Thijs L, Thuesen BH, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Traissac P, Trinh OTH, Truthmann J, Tsugane S, Tulloch-Reid MK, Tuomainen TP, Tuomilehto J, Tybjaerg-Hansen A, Tzourio C, Ueda P, Ugel E, Ulmer H, Unal B, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varona-Pérez P, Vasan SK, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Venero-Fernández SJ, Veronesi G, Verschuren WMM, Victora CG, Vidiawati D, Viet L, Villalpando S, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Wagner A, Walton J, Bebakar WMW, Mohamud WNW, Wang MD, Wang N, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wedderkopp N, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Woodward M, Wu FC, Wu S, Xu H, Xu L, Yan W, Yang X, Yasuharu T, Ye X, Yeow TP, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zali MR, Zamani F, Zambon S, Zampelas A, Zaw KK, Zdrojewski T, Vrkic TZ, Zhang ZY, Zhao W, Zhen S, Zheng Y, Zholdin B, Zhussupov B, Zoghlami N, Cisneros JZ, Gregg EW, Ezzati M. Repositioning of the global epicentre of non-optimal cholesterol. Nature 2020; 582:73-77. [PMID: 32494083 PMCID: PMC7332422 DOI: 10.1038/s41586-020-2338-1] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 04/02/2020] [Indexed: 11/25/2022]
Abstract
High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
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Zhu B, Xin SJ, You SL. [Advances in early warning and treatment of pre-hepatic failure]. Zhonghua Gan Zang Bing Za Zhi 2020; 28:298-301. [PMID: 32403880 DOI: 10.3760/cma.j.cn501113-20200312-00109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Liver function of patients with pre-hepatic failure deteriorates rapidly, and with this there exists a risk of liver failure and high rates of mortality. This paper summarizes the concept of pre-hepatic failure, particularly the advances in early warning and treatment of pre-hepatic failure developing into hepatic failure, with a view to enhance clinicians' concerns to pre-hepatic failure for promoting the advancement of liver failure prevention and treatment, and improving the success rate of liver failure treatment.
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Affiliation(s)
- B Zhu
- Liver Failure Treatment and Research Center, The fifth medical center of PLA general hospital, Beijing 100039, China
| | - S J Xin
- Liver Failure Treatment and Research Center, The fifth medical center of PLA general hospital, Beijing 100039, China
| | - S L You
- Liver Failure Treatment and Research Center, The fifth medical center of PLA general hospital, Beijing 100039, China
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Wu WC, Lai YW, Chou YC, Liao YC, You SL, Bai CH, Sun CA. Serum Uric Acid Level as a Harbinger of Type 2 Diabetes: A Prospective Observation in Taiwan. Int J Environ Res Public Health 2020; 17:ijerph17072277. [PMID: 32231029 PMCID: PMC7178124 DOI: 10.3390/ijerph17072277] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 03/24/2020] [Accepted: 03/25/2020] [Indexed: 12/14/2022]
Abstract
Background: Current evidence suggests an association of uric acid with diabetes risk, but it is still unclear whether uric acid is merely a risk marker or an independent risk factor. We evaluate the impact of serum uric acid (SUA) levels on the future risk of developing type 2 diabetes, independent of other factors. Methods: A population-based cohort study was conducted among 4130 participants who were found to be free of type 2 diabetes at baseline recruitment in 2002. Baseline SUA measured in 2002 was longitudinally related to the incident type 2 diabetes that occurred during the follow-up period between 2002 and 2007. Hazard ratios (HRs) and 95% confidence intervals (CIs) derived from Cox proportional hazards models were used to quantify the association. Results: There was a graded increase in the incidence of type 2 diabetes among individuals with increasing levels of SUA. In the whole study cohort, compared to quartile 1, the multivariable-adjusted HRs (95% CIs) of type 2 diabetes in quartile 2, quartile 3, and quartile 4 were 1.69 (0.76–3.76), 1.86 (0.88–4.26), and 1.94 (1.05–4.05), respectively (P for trend = 0.004). This positive gradient for the risk of type 2 diabetes across quartiles of SUA was evident in both genders and across age groups. Conclusions: This study supports that high uric acid concentrations are associated with increased diabetes risk, independent of other known risk factors. These data expand on well-established associations between SUA level and metabolic syndrome, and extend the link to the future risk of type 2 diabetes.
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Affiliation(s)
- Wen-Chih Wu
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (W.-C.W.); (Y.-C.C.); (Y.-C.L.)
- Department of Surgery, Suao and Yuanshan branches of Taipei Veterans General Hospital, Yilan County 270, Taiwan
| | - Yen-Wen Lai
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (W.-C.W.); (Y.-C.C.); (Y.-C.L.)
| | - Yu-Chan Liao
- School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan; (W.-C.W.); (Y.-C.C.); (Y.-C.L.)
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - Chyi-Huey Bai
- School of Public Health, College of Public Health and Nutrition, Taipei Medical University, Taipei City 110, Taiwan;
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan;
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Correspondence: ; Tel.: +02-29053432
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Rodriguez Espinosa P, Chen YC, Sun CA, You SL, Lin JT, Chen KH, Hsing AW, Heaney CA. Exploring health and well-being in Taiwan: what we can learn from individuals' narratives. BMC Public Health 2020; 20:159. [PMID: 32013898 PMCID: PMC6998329 DOI: 10.1186/s12889-020-8201-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 01/13/2020] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Our aim was to explore the concepts of health and well-being from the point of view of the people experiencing them. Most of the efforts to understand these concepts have focused on disease prevention and treatment. Less is known about how individuals achieve health and well-being, and their roles in the pursuit of a good life. We hoped to identify important components of these concepts that may provide new targets and messages to strengthen existing public health programs. An improved understanding of health and well-being - or what it means to be well - can guide interventions that help people lead healthier, more fulfilling lives. METHODS Using a grounded qualitative approach drawing from narrative inquiry, we interviewed 24 Taiwanese adults. Thematic inductive coding was employed to explore the nature of health and well-being. RESULTS Eight constituent domains emerged regarding well-being and health. While the same domains were found for both constructs, important frequency differences were found when participants discussed health versus well-being. Physical health and lifestyle behaviors emerged as key domains for health. Disease-related comments were the most frequently mentioned sub-category within the physical health domain, along with health care use and aging-related changes. For well-being, family and finances emerged as key domains. Family appears to be a cornerstone element of well-being in this sample, with participants often describing their personal well-being as closely tied to - and often indistinguishable from - their family. Other domains included work-life, sense of self, resilience, and religion/spirituality. CONCLUSIONS Health and well-being are complex and multifaceted constructs, with participants discussing their constituent domains in a very interconnected manner. Programs and policies intended to promote health and well-being may benefit from considering these domains as culturally-appropriate leverage points to bring about change. Additionally, while the domains identified in this study are person-centered (i.e., reflecting the personal experiences of participants), the stories that participants offered provided insights into how well-being and health are influenced by structural, societal and cultural factors. Our findings also offer an opportunity for future refinement and rethinking of existing measurement tools surrounding these constructs.
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Affiliation(s)
- Patricia Rodriguez Espinosa
- Stanford Prevention Research Center, Stanford University School of Medicine, 3300 Hillview Ave (Mail code: 5537), Palo Alto, CA, 94304, USA.
| | - Yong-Chen Chen
- School of Medicine, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan
| | - San-Lin You
- School of Medicine, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan
| | - Jaw-Town Lin
- School of Medicine, College of Medicine, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan
| | - Kun-Hu Chen
- Department of Clinical Psychology, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhuang District, New Taipei City, Taiwan
| | - Ann W Hsing
- Stanford Prevention Research Center, Stanford University School of Medicine, 3300 Hillview Ave (Mail code: 5537), Palo Alto, CA, 94304, USA
- Stanford Cancer Institute, Stanford University School of Medicine, 780 Welch Road, CJ Huang Building, Palo Alto, CA, 94305, USA
- Department of Epidemiology, Stanford University, Palo Alto, CA, USA
| | - Catherine A Heaney
- Stanford Prevention Research Center, Stanford University School of Medicine, 3300 Hillview Ave (Mail code: 5537), Palo Alto, CA, 94304, USA
- Department of Psychology, Stanford University, 450 Serra Mall, Building 20, Palo Alto, CA, 94305, USA
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29
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Chen CY, Hu JM, Shen CJ, Chou YC, Tian YF, Chen YC, You SL, Hung CF, Lin TC, Hsiao CW, Lin CY, Sun CA. Increased incidence of colorectal cancer with obstructive sleep apnea: a nationwide population-based cohort study. Sleep Med 2020; 66:15-20. [DOI: 10.1016/j.sleep.2019.02.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 01/27/2019] [Accepted: 02/08/2019] [Indexed: 02/06/2023]
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Chou WY, Lai PY, Hu JM, Hsu CH, Chen YC, Tian YF, You SL, Hsiao CW, Chou YC, Sun CA. Association between atopic dermatitis and colorectal cancer risk: A nationwide cohort study. Medicine (Baltimore) 2020; 99:e18530. [PMID: 31895788 PMCID: PMC6946374 DOI: 10.1097/md.0000000000018530] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The role of atopic dermatitis (AD) in the development of colorectal cancer (CRC) has been a matter of scientific debate with mixed results. We conducted a nationwide cohort study to assess the association between AD and risk of CRC. Drawing on Taiwan's National Health Insurance Research Database, 46,703 patients with AD (the AD cohort) and 186,812 sex, age, and index year-matched patients without AD (the non-AD cohort) were identified in the period between 2000 and 2008. Follow-up time was calculated from the date of entry in the cohort until the occurrence of a first CRC diagnosis, death, or the end of the observation period (December 31, 2013), whichever occurred first. Hazards ratios (HRs) and accompanying 95% confidence intervals (CIs) derived from the Fine-Gray competing risk model were used to estimate the association between AD and CRC risk. After multivariable adjustment, AD was associated with an increased risk of CRC (adjusted HR, 1.26; 95% CI, 1.14-1.40). Of note, a significant positive association between AD and CRC risk was evident in both men and women and in all age groups. In summary, this population-based cohort study revealed that AD was associated with an increased risk of CRC in an Asian population. It will be of interest for cohort studies with prediagnostic specimens to evaluate the potential relationship between AD and CRC using biomarkers for allergy status.
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Affiliation(s)
| | | | - Je-Ming Hu
- Graduate Institute of Medical Sciences
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital
- School of Medicine
| | - Chih-Hsiung Hsu
- Graduate Institute of Medical Sciences
- Teaching Office, Tri-Service General Hospital, National Defense Medical Center, Taipei City
| | - Yong-Chen Chen
- Department of Medicine
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City
| | - Yu-Feng Tian
- Division of Colorectal Surgery, Department of Surgery, Chi-Mei Medical Center
- Department of Health & Nutrition, Chia Nan University of Pharmacy and Science, Tainan City
| | - San-Lin You
- Department of Medicine
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City
| | - Cheng-Wen Hsiao
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital
| | - Yu-Ching Chou
- Graduate Institute of Life Sciences
- School of Public Health
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
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31
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Wang HE, Liao YC, Hu JM, Wu WC, Chou WY, Chen YC, Chou YC, Hung CF, Tian YF, You SL, Sun CA. Correlation between kidney transplantation and colorectal cancer in hemodialysis patients: A nationwide, retrospective, population-based cohort study. BMC Cancer 2019; 19:1120. [PMID: 31733644 PMCID: PMC6858634 DOI: 10.1186/s12885-019-6283-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 10/23/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Kidney transplantation (KT) correlates with an increased risk of developing several malignancies; however, the risk of colorectal cancer (CRC) after KT remains debatable and has been marginally explored. Hence, in this nationwide, retrospective, population-based cohort study, we aimed to examine the correlation between KT and CRC in a large-scale population-based Chinese cohort. METHODS We identified a total of 3739 regular hemodialysis patients undergoing KT (exposed cohort) and 42,324 hemodialysis patients not undergoing KT (non-exposed cohort) between 2000 and 2008 from Taiwan's National Health Insurance Research Database (NHIRD). Both cohorts were followed up from January 1, 2000, to the date of CRC diagnosis, death, or the end of 2013. Using Kaplan-Meier method, we measured the cumulative incidence of CRC in each cohort. Furthermore, Cox proportional hazards models were used to compute hazards ratios (HRs) and 95% confidence intervals (CIs) to estimate the correlation between KT and CRC in hemodialysis patients. RESULTS The Kaplan-Meier analysis revealed that the cumulative incidence of CRC was significantly higher in the exposed cohort than in the non-exposed cohort (log-rank test, P < 0.001). After adjusting for potential confounders, the exposed cohort exhibited a significantly increased risk of CRC compared with the non-exposed cohort (adjusted HR, 1.34; 95% CI, 1.11-1.62). CONCLUSIONS Hemodialysis patients undergoing KT have a significantly higher risk of CRC than those not undergoing KT. Cancer should continue to be a primary focus of prevention during KT.
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Affiliation(s)
- Han-En Wang
- Division of Nephrology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Yu-Chan Liao
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Je-Ming Hu
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City, Taiwan.,Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Wen-Chih Wu
- Department of Surgery, Suao and Yuanshan branches of Taipei Veterans General Hospital, Yilan County, Taiwan
| | - Wan-Yun Chou
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei City, Taiwan
| | - Yong-Chen Chen
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Chi-Feng Hung
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Yu-Feng Tian
- Division of Colorectal Surgery, Department of Surgery, Chi-Mei Medical Center, Tainan City, Taiwan.,Department of Health & Nutrition, Chia Nan University of Pharmacy and Science, Tainan City, Taiwan
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan. .,Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.
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Ugai T, Ito H, Oze I, Saito E, Rahman MS, Boffetta P, Gupta PC, Sawada N, Tamakoshi A, Shu XO, Koh WP, Gao YT, Sadakane A, Tsuji I, Park SK, Nagata C, You SL, Pednekar MS, Tsugane S, Cai H, Yuan JM, Xiang YB, Ozasa K, Tomata Y, Kanemura S, Sugawara Y, Wada K, Chen CJ, Yoo KY, Chia KS, Ahsan H, Zheng W, Inoue M, Kang D, Potter J, Matsuo K. Association of BMI, Smoking, and Alcohol with Multiple Myeloma Mortality in Asians: A Pooled Analysis of More than 800,000 Participants in the Asia Cohort Consortium. Cancer Epidemiol Biomarkers Prev 2019; 28:1861-1867. [PMID: 31399476 PMCID: PMC7986478 DOI: 10.1158/1055-9965.epi-19-0389] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/13/2019] [Accepted: 08/05/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND To date, few epidemiologic studies have been conducted to elucidate lifestyle-related risk factors for multiple myeloma in Asia. We investigated the association of body mass index (BMI), smoking, and alcohol intake with the risk of multiple myeloma mortality through a pooled analysis of more than 800,000 participants in the Asia Cohort Consortium. METHODS The analysis included 805,309 participants contributing 10,221,623 person-years of accumulated follow-up across Asia Cohort Consortium cohorts. HRs and 95% confidence intervals (95% CI) for the association between BMI, smoking, and alcohol at baseline and the risk of multiple myeloma mortality were assessed using a Cox proportional hazards model with shared frailty. RESULTS We observed a statistically significant dose-dependent association between BMI categories and the risk of multiple myeloma mortality (<18.5 kg/m2: HR = 0.80, 95% CI: 0.52-1.24; 18.5-24.9 kg/m2: reference; 25.0-29.9 kg/m2: HR = 1.17, 95% CI: 0.94-1.47; ≥30 kg/m2: HR = 1.61, 95% CI: 0.99-2.64, P trend = 0.014). By sex, this association was more apparent in women than in men (P for heterogeneity between sexes = 0.150). We observed no significant associations between smoking or alcohol consumption and risk of multiple myeloma mortality. CONCLUSIONS This study showed that excess body mass is associated with an increased risk of multiple myeloma mortality among Asian populations. In contrast, our results do not support an association between smoking or alcohol consumption and the risk of multiple myeloma mortality in Asian populations. IMPACT This study provides important evidence on the association of BMI, smoking, and alcohol with the risk of multiple myeloma mortality in Asian populations.
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Affiliation(s)
- Tomotaka Ugai
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Eiko Saito
- Division of Cancer Statistics, Integration Center for Cancer Control & Information Services, National Cancer Center, Tokyo, Japan
| | - Md Shafiur Rahman
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Paolo Boffetta
- Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Prakash C Gupta
- Healis Sekhsaria Institute for Public Health, Navi Mumbai, Maharashtra, India
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Xiao Ou Shu
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Nashville, Tennessee
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Atsuko Sadakane
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, Taiwan
| | - Mangesh S Pednekar
- Healis Sekhsaria Institute for Public Health, Navi Mumbai, Maharashtra, India
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hui Cai
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Nashville, Tennessee
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Kotaro Ozasa
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Yasutake Tomata
- Division of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Seiki Kanemura
- Division of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumi Sugawara
- Division of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Keun-Young Yoo
- Department of Preventive Medicine, Seoul National University, Seoul, Korea
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Nashville, Tennessee
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - John Potter
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan.
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Wu WT, Tsai CT, Chou YC, Ku PM, Chen YC, You SL, Hung CF, Sun CA. Cardiovascular Outcomes Associated With Clinical Use of Citalopram and Omeprazole: A Nationwide Population-Based Cohort Study. J Am Heart Assoc 2019; 8:e011607. [PMID: 31581860 PMCID: PMC6818043 DOI: 10.1161/jaha.118.011607] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Background Recent studies have raised concerns about the reduced efficacy of citalopram when used concurrently with proton pump inhibitors. The aim of this study was to evaluate the associations between clinical use of citalopram and omeprazole and the risk of sudden cardiac arrest (SCA) in an Asian population. Methods and Results A retrospective cohort study was conducted using the National Health Insurance Research Database of Taiwan dated from 2000 to 2013. The study cohorts comprised 3882 patients with citalopram use alone, 31 090 patients with omeprazole use alone, and 405 patients with concomitant use of citalopram and omeprazole (as the exposed cohort), and 141 508 patients received treatment with antidepressants without the risk of SCA and/or proton pump inhibitors other than omeprazole (as the comparison cohort). The primary outcome was the occurrence of SCA. The hazard ratios and 95% CIs derived from the time-dependent Cox regression model were used to assess the association between the proposed drug treatments and risk of SCA. The adjusted hazard ratios of SCA was 1.32 (95% CI, 1.17-1.50) for citalopram use alone, 1.08 (95% CI, 0.98-1.20) for omeprazole use alone, and 2.23 (95% CI, 1.79-2.78) for concomitant use of citalopram and omeprazole. The cumulative incidence of SCA over the Kaplan-Meier curves was more pronounced in patients with concomitant use of citalopram and omeprazole than those treated with citalopram alone and omeprazole alone. Conclusions This cohort study demonstrated use of citalopram and omeprazole either in isolation use or in concomitant use to be at increased risk for SCA.
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Affiliation(s)
- Wen-Tung Wu
- Department of Pharmacy Practice Tri-Service General Hospital National Defense Medical Center Taipei Taiwan.,School of Public Health National Defense Medical Center Taipei Taiwan
| | - Chun-Teng Tsai
- School of Public Health National Defense Medical Center Taipei Taiwan
| | - Yu-Ching Chou
- School of Public Health National Defense Medical Center Taipei Taiwan
| | - Po-Ming Ku
- Department of Cardiology Chi-Mei Medical Center Tainan City Taiwan
| | - Yong-Chen Chen
- Department of Medicine College of Medicine Fu-Jen Catholic University New Taipei City Taiwan.,Big Data Research Center College of Medicine Fu-Jen Catholic University New Taipei City Taiwan
| | - San-Lin You
- Department of Medicine College of Medicine Fu-Jen Catholic University New Taipei City Taiwan.,Big Data Research Center College of Medicine Fu-Jen Catholic University New Taipei City Taiwan
| | - Chi-Feng Hung
- Department of Medicine College of Medicine Fu-Jen Catholic University New Taipei City Taiwan.,Big Data Research Center College of Medicine Fu-Jen Catholic University New Taipei City Taiwan
| | - Chien-An Sun
- Big Data Research Center College of Medicine Fu-Jen Catholic University New Taipei City Taiwan.,Department of Public Health College of Medicine Fu-Jen Catholic University New Taipei City Taiwan
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34
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Yang K, Zhang Y, Saito E, Rahman MS, Gupta PC, Sawada N, Tamakoshi A, Gao YT, Koh WP, Shu XO, Tsuji I, Sadakane A, Nagata C, You SL, Yuan JM, Shin MH, Chen Y, Pan WH, Pednekar MS, Tsugane S, Cai H, Xiang YB, Ozasa K, Tomata Y, Kanemura S, Sugawara Y, Wada K, Wang R, Ahn YO, Yoo KY, Ahsan H, Chia KS, Boffetta P, Kang D, Potter JD, Inoue M, Zheng W, Nan H. Association between educational level and total and cause-specific mortality: a pooled analysis of over 694 000 individuals in the Asia Cohort Consortium. BMJ Open 2019; 9:e026225. [PMID: 31444178 PMCID: PMC6707688 DOI: 10.1136/bmjopen-2018-026225] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 03/11/2019] [Accepted: 06/28/2019] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To study the association of educational level and risk of death from all causes, cardiovascular disease (CVD) and cancer among Asian populations. DESIGN A pooled analysis of 15 population-based cohort studies. SETTING AND PARTICIPANTS 694 434 Asian individuals from 15 prospective cohorts within the Asia Cohort Consortium. INTERVENTIONS None. MAIN OUTCOME MEASURES HRs and 95% CIs for all-cause mortality, as well as for CVD-specific mortality and cancer-specific mortality. RESULTS A total of 694 434 participants (mean age at baseline=53.2 years) were included in the analysis. During a mean follow-up period of 12.5 years, 103 023 deaths were observed, among which 33 939 were due to cancer and 34 645 were due to CVD. Higher educational levels were significantly associated with lower risk of death from all causes compared with a low educational level (≤primary education); HRs and 95% CIs for secondary education, trade/technical education and ≥university education were 0.88 (0.85 to 0.92), 0.81 (0.73 to 0.90) and 0.71 (0.63 to 0.80), respectively (ptrend=0.002). Similarly, HRs (95% CIs) were 0.93 (0.89 to 0.97), 0.86 (0.78 to 0.94) and 0.81 (0.73 to 0.89) for cancer death, and 0.88 (0.83 to 0.93), 0.77 (0.66 to 0.91) and 0.67 (0.58 to 0.77) for CVD death with increasing levels of education (both ptrend <0.01). The pattern of the association among East Asians and South Asians was similar compared with ≤primary education; HR (95% CI) for all-cause mortality associated with ≥university education was 0.72 (0.63 to 0.81) among 539 724 East Asians (Chinese, Japanese and Korean) and 0.61 (0.54 to 0.69) among 154 710 South Asians (Indians and Bangladeshis). CONCLUSION Higher educational level was associated with substantially lower risk of death among Asian populations.
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Affiliation(s)
- Keming Yang
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
| | - Ying Zhang
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
| | - Md Shafiur Rahman
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Akiko Tamakoshi
- Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Atsuko Sadakane
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - San-Lin You
- School of Medicine, Big Data Research Centre, Fu-Jen Catholic University, Taipei, Taiwan
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, The Republic of Korea
| | - Yu Chen
- Department of Population Health, Department of Environmental Medicine, New York University School of Medicine, New York City, New York, USA
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | | | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Kotaro Ozasa
- Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Yasutake Tomata
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, The Republic of Korea
| | - Keun-Young Yoo
- Armed Forces Capital Hospital, Seoul National University College of Medicine, Seoul, The Republic of Korea
| | - Habibul Ahsan
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA
| | - Kee Seng Chia
- Epidemiology Program, Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Paolo Boffetta
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, The Republic of Korea
| | - John D Potter
- Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
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Yang JJ, Yu D, Wen W, Saito E, Rahman S, Shu XO, Chen Y, Gupta PC, Gu D, Tsugane S, Xiang YB, Gao YT, Yuan JM, Tamakoshi A, Irie F, Sadakane A, Tomata Y, Kanemura S, Tsuji I, Matsuo K, Nagata C, Chen CJ, Koh WP, Shin MH, Park SK, Wu PE, Qiao YL, Pednekar MS, He J, Sawada N, Li HL, Gao J, Cai H, Wang R, Sairenchi T, Grant E, Sugawara Y, Zhang S, Ito H, Wada K, Shen CY, Pan WH, Ahn YO, You SL, Fan JH, Yoo KY, Ashan H, Chia KS, Boffetta P, Inoue M, Kang D, Potter JD, Zheng W. Association of Diabetes With All-Cause and Cause-Specific Mortality in Asia: A Pooled Analysis of More Than 1 Million Participants. JAMA Netw Open 2019; 2:e192696. [PMID: 31002328 PMCID: PMC6481439 DOI: 10.1001/jamanetworkopen.2019.2696] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
IMPORTANCE Asia is home to the largest diabetic populations in the world. However, limited studies have quantified the association of diabetes with all-cause and cause-specific mortality in Asian populations. OBJECTIVES To evaluate the association of diabetes with all-cause and cause-specific mortality in Asia and to investigate potential effect modifications of the diabetes-mortality associations by participants' age, sex, education level, body mass index, and smoking status. DESIGN, SETTING, AND PARTICIPANTS This pooled analysis incorporated individual participant data from 22 prospective cohort studies of the Asia Cohort Consortium conducted between 1963 and 2006. A total of 1 002 551 Asian individuals (from mainland China, Japan, South Korea, Singapore, Taiwan, India, and Bangladesh) were followed up for more than 3 years. Cohort-specific hazard ratios and 95% confidence intervals for all-cause and cause-specific mortality were estimated using Cox regression models and then pooled using random-effects meta-analysis. Analysis was conducted between January 10, 2018, and August 31, 2018. EXPOSURES Doctor-diagnosed diabetes, age, sex, education level, body mass index, and smoking status. MAIN OUTCOMES AND MEASURES All-cause and cause-specific mortality. RESULTS Of 1 002 551 participants (518 537 [51.7%] female; median [range] age, 54.0 [30.0-98.0] years), 148 868 deaths were ascertained during a median (range) follow-up of 12.6 (3.0-38.9) years. The overall prevalence of diabetes reported at baseline was 4.8% for men and 3.6% for women. Patients with diabetes had a 1.89-fold risk of all-cause death compared with patients without diabetes (hazard ratio [HR], 1.89; 95% CI, 1.74-2.04), with the highest relative risk of death due to diabetes itself (HR, 22.8; 95% CI, 18.5-28.1), followed by renal disease (HR, 3.08; 95% CI, 2.50-3.78), coronary heart disease (HR, 2.57; 95% CI, 2.19-3.02), and ischemic stroke (HR, 2.15; 95% CI, 1.85-2.51). The adverse diabetes-mortality associations were more evident among women (HR, 2.09; 95% CI, 1.89-2.32) than among men (HR, 1.74; 95% CI, 1.62-1.88) (P for interaction < .001) and more evident among adults aged 30 to 49 years (HR, 2.43; 95% CI, 2.08-2.84) than among adults aged 70 years and older (HR, 1.51; 95% CI, 1.40-1.62) (P for interaction < .001). A similar pattern of association was found between diabetes and cause-specific mortality, with significant variations noted by sex and age. CONCLUSIONS AND RELEVANCE This study found that diabetes was associated with increased risk of death from several diseases among Asian populations. Development and implementation of diabetes management programs are urgently needed to reduce the burden of diabetes in Asia.
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Affiliation(s)
- Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
| | - Shafiur Rahman
- Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yu Chen
- Department of Population Health, New York University School of Medicine, New York
- Department of Environmental Medicine, New York University School of Medicine, New York
| | - Prakash C. Gupta
- Healis-Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Dongfeng Gu
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Jian-Min Yuan
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Akiko Tamakoshi
- Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Fujiko Irie
- Department of Health and Welfare, Ibaraki Prefectural Office, Mito, Japan
| | | | - Yasutake Tomata
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keitaro Matsuo
- Division of Molecular & Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Chisato Nagata
- Graduate School of Medicine, Gifu University, Gifu City, Japan
| | | | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore, Republic of Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - Pei-Ei Wu
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei city, Taiwan
| | - You-Lin Qiao
- National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | | | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Jing Gao
- State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Renwei Wang
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Toshimi Sairenchi
- Department of Public Health, Dokkyo Medical University School of Medicine, Mibu, Japan
| | - Eric Grant
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shu Zhang
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hidemi Ito
- Division of Molecular & Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keiko Wada
- Graduate School of Medicine, Gifu University, Gifu City, Japan
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
- College of Public Health, China Medical University, Taichung, Taiwan
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, Taipei City, Taiwan
| | - Jin-Hu Fan
- National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Keun-Young Yoo
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Armed Forces Capital Hospital, Seongnam, South Korea
| | - Habibul Ashan
- Department of Health Studies, University of Chicago, Chicago, Illinois
- Department of Medicine, University of Chicago, Chicago, Illinois
- Department of Human Genetics, University of Chicago, Chicago, Illinois
- Cancer Research Center, University of Chicago, Chicago, Illinois
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Paolo Boffetta
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - John D. Potter
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Centre for Public Health Research, Massey University, Wellington, New Zealand
- Department of Epidemiology, University of Washington, Seattle
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
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Li C, Zhu B, Lyu S, You SL. [Discussion and evaluation of diagnostic criteria for hepatitis B virus-related acute-on-chronic pre-liver failure]. Zhonghua Gan Zang Bing Za Zhi 2019; 26:130-135. [PMID: 29804380 DOI: 10.3760/cma.j.issn.1007-3418.2018.02.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the concept of hepatitis B virus (HBV)-related acute-on-chronic pre-liver failure (pre-ACLF), and to develop and evaluate the diagnostic criteria for this disease. Methods: A retrospective analysis was performed for the clinical data of 754 patients with severe acute exacerbation (SAE) of HBV-related chronic liver disease, and their clinical features were identified. A multivariate logistic regression analysis was used to determine the risk factors for acute-on-chronic liver failure (ACLF). The inclusion rate of patients with SAE-HBV-related chronic liver disease and the detection rate of ACLF patients were analyzed to evaluate the value of four different versions of diagnostic criteria for pre-liver failure. The t-test, an analysis of variance, the Mann-Whitney U test, and the chi-square test were used for statistical analysis based on data type. Results: The incidence rate of ACLF in the patients with SAE-HBV-related chronic liver disease was 9.9% and the time to progression to ACLF was 12.0 ± 6.7 days. The multivariate logistic regression analysis showed that HBV reactivation (odds ratio [OR] = 5.118), direct bilirubin ratio (D/T) (OR = 1.041), age (OR = 1.033), total bilirubin (TBil) (OR = 1.005), prothrombin activity (PTA) (OR = 0.880), and serum sodium (Na) (OR = 0.918) were independent risk factors for ACLF. Group B (51.3 μmol/L < TBil < 171.1 μmol/L and 40%≤PTA < 60%, 4.2%) had a significantly lower incidence rate of ACLF than group A (51.3 μmol/L < TBil < 171.1 μmol/L and PTA < 40%, 13.7%) and group C (TBil > 171.1 μmol/L and 40% < PTA < 60%, 20.3%) (P < 0.001). Group C had a significantly shorter time to progression to ACLF than group A (10.5 ± 6.1 days vs 15.6 ± 7.4 days, P = 0.008). A total of 45 patients met the diagnostic criteria developed by Chongqing and the incidence rate of ACLF was 2.2%; 154 patients met the diagnostic criteria developed by Zhejiang and the incidence rate of ACLF was 7.1%; 188 patients met the diagnostic criteria in the Chinese guidelines and the incidence rate of ACLF was 6.4%; 117 patients met the diagnostic criteria for SAE-CHB and the incidence rate of ACLF was 9.4%. Conclusion: At present, these four versions of diagnostic criteria for pre-liver failure are not fully applicable to the clinical practice in China. The diagnostic criteria for HBV-related pre-ACLF should include important assessment indices which affect its progression to ACLF.
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Affiliation(s)
- C Li
- Liver Failure Treatment and Research Centre, 302 Military Hospital, Beijing 100039, China
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Chou YC, You SL, Bai CH, Liao YC, Wei CY, Sun CA. Utility of apolipoprotein measurements in predicting incident type 2 diabetes: A Chinese cohort study. J Formos Med Assoc 2019; 119:51-58. [PMID: 30905491 DOI: 10.1016/j.jfma.2019.03.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 02/18/2019] [Accepted: 03/04/2019] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND/PURPOSE There is conflicting data regarding the utility of measuring apolipoproteins in addition to traditional lipid measures in risk assessment of cardiometabolic diseases. The aim of this study was to determine whether apolipoprotein measurements can improve the ability to predict the future development of type 2 diabetes beyond what is possible based on traditional type 2 diabetes risk factors and clinical routine lipid measurements. METHODS A total of 4,223 Chinese adults without diabetes were followed for a mean duration of 5.42 years. The hazard ratios (HRs) with 95% confidence intervals (CIs) derived from the Cox proportional hazards model were used to analyze the longitudinal associations of apolipoprotein B (apo B), apolipoprotein A-I (apo A-I), and the apo B/apo A-I ratio with the risk of type 2 diabetes. Further, the analysis of the area under receiver operating characteristics curves (AUC) was performed to test the predictive value of apolipoprotein measurements. RESULTS After adjusting for potential confounders, the HRs of diabetes consistently showed an increasing trend across both the apo B and the apo B/apo A-I ratio quartiles (p for trend = 0.004). In analyses of AUC, the predictive ability for type 2 diabetes risk for the apo B and the apo B/apo A-I ratio was superior to that of routine lipid and lipoprotein measurements. CONCLUSION Apolipoprotein measurements significantly predict diabetes risk in an Asian population. Furthermore, the predictive ability of apo B alone to detect diabetes was comparable with that of the apo B/apo A-I ratio and better than the routine lipid measurements.
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Affiliation(s)
- Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan, Republic of China
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan, Republic of China; Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan, Republic of China
| | - Chyi-Huey Bai
- School of Public Health, College of Public Health and Nutrition, Taipei Medical University, Taiepi City, Taiwan, Republic of China
| | - Yu-Chan Liao
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan, Republic of China
| | - Cheng-Yu Wei
- Department of Exercise and Health Promotion, College of Education, Chinese Culture University, New Taipei City, Taiwan, Republic of China
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan, Republic of China; Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan, Republic of China.
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38
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Yang JJ, Yu D, Wen W, Shu XO, Saito E, Rahman S, Gupta PC, He J, Tsugane S, Xiang YB, Gao YT, Koh WP, Tamakoshi A, Irie F, Sadakane A, Tsuji I, Kanemura S, Matsuo K, Nagata C, Chen CJ, Yuan JM, Shin MH, Park SK, Pan WH, Qiao YL, Pednekar MS, Gu D, Sawada N, Li HL, Gao J, Cai H, Grant E, Tomata Y, Sugawara Y, Ito H, Wada K, Shen CY, Wang R, Ahn YO, You SL, Yoo KY, Ashan H, Chia KS, Boffetta P, Inoue M, Kang D, Potter JD, Zheng W. Tobacco Smoking and Mortality in Asia: A Pooled Meta-analysis. JAMA Netw Open 2019; 2:e191474. [PMID: 30924901 PMCID: PMC6450311 DOI: 10.1001/jamanetworkopen.2019.1474] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
IMPORTANCE Understanding birth cohort-specific tobacco smoking patterns and their association with total and cause-specific mortality is important for projecting future deaths due to tobacco smoking across Asian populations. OBJECTIVES To assess secular trends of tobacco smoking by countries or regions and birth cohorts and evaluate the consequent mortality in Asian populations. DESIGN, SETTING, AND PARTICIPANTS This pooled meta-analysis was based on individual participant data from 20 prospective cohort studies participating in the Asia Cohort Consortium. Between September 1, 2017, and March 31, 2018, a total of 1 002 258 Asian individuals 35 years or older were analyzed using Cox proportional hazards regression analysis and random-effects meta-analysis. The pooled results were presented for mainland China; Japan; Korea, Singapore, and Taiwan; and India. EXPOSURES Tobacco use status, age at starting smoking, number of cigarettes smoked per day, and age at quitting smoking. MAIN OUTCOMES AND MEASURES Country or region and birth cohort-specific mortality and the population attributable risk for deaths from all causes and from lung cancer. RESULTS Of 1 002 258 participants (51.1% women and 48.9% men; mean [SD] age at baseline, 54.6 [10.4] years), 144 366 deaths (9158 deaths from lung cancer) were ascertained during a mean (SD) follow-up of 11.7 (5.3) years. Smoking prevalence for men steadily increased in China and India, whereas it plateaued in Japan and Korea, Singapore, and Taiwan. Among Asian male smokers, the mean age at starting smoking decreased in successive birth cohorts, while the mean number of cigarettes smoked per day increased. These changes were associated with an increasing relative risk of death in association with current smoking in successive birth cohorts of pre-1920, 1920s, and 1930 or later, with hazard ratios for all-cause mortality of 1.26 (95% CI, 1.17-1.37) for the pre-1920 birth cohort, 1.47 (95% CI, 1.35-1.61) for the 1920s birth cohort, and 1.70 (95% CI, 1.57-1.84) for the cohort born in 1930 or later. The hazard ratios for lung cancer mortality were 3.38 (95% CI, 2.25-5.07) for the pre-1920 birth cohort, 4.74 (95% CI, 3.56-6.32) for the 1920s birth cohort, and 4.80 (95% CI, 3.71-6.19) for the cohort born in 1930 or later. Tobacco smoking accounted for 12.5% (95% CI, 8.4%-16.3%) of all-cause mortality in the pre-1920 birth cohort, 21.1% (95% CI, 17.3%-24.9%) of all-cause mortality in the 1920s birth cohort, and 29.3% (95% CI, 26.0%-32.3%) of all-cause mortality for the cohort born in 1930 or later. Tobacco smoking among men accounted for 56.6% (95% CI, 44.7%-66.3%) of lung cancer mortality in the pre-1920 birth cohort, 66.6% (95% CI, 58.3%-73.5%) of lung cancer mortality in the 1920s birth cohort, and 68.4% (95% CI, 61.3%-74.4%) of lung cancer mortality for the cohort born in 1930 or later. For women, tobacco smoking patterns and lung cancer mortality varied substantially by countries and regions. CONCLUSIONS AND RELEVANCE In this study, mortality associated with tobacco smoking continued to increase among Asian men in recent birth cohorts, indicating that tobacco smoking will remain a major public health problem in most Asian countries in the coming decades. Implementing comprehensive tobacco-control programs is warranted to end the tobacco epidemic.
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Affiliation(s)
- Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
| | - Shafiur Rahman
- Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Prakash C. Gupta
- Healis-Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes, Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes, Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Woon-Puay Koh
- Duke-NUS Medical School Singapore, Singapore, Republic of Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Akiko Tamakoshi
- Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Fujiko Irie
- Ibaraki Chikusei Public Health Center, Chikusei City, Japan
| | | | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Chisato Nagata
- Graduate School of Medicine, Gifu University, Gifu City, Japan
| | | | - Jian-Min Yuan
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - You-Lin Qiao
- Cancer Foundation of China, Beijing, People’s Republic of China
| | | | - Dongfeng Gu
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes, Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Jing Gao
- State Key Laboratory of Oncogene and Related Genes, Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People’s Republic of China
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Eric Grant
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Yasutake Tomata
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hidemi Ito
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keiko Wada
- Graduate School of Medicine, Gifu University, Gifu City, Japan
| | - Chen-Yang Shen
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
- Graduate Institute of Environmental Science, China Medical University, Taichung, Taiwan
| | - Renwei Wang
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - San-Lin You
- School of Medicine, Big Data Research Center, Fu Jen Catholic University, Taipei City, Taiwan
| | - Keun-Young Yoo
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Armed Forces Capital Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Habibul Ashan
- Cancer Research Center, Department of Health Studies, University of Chicago, Chicago, Illinois
- Cancer Research Center, Department of Medicine, University of Chicago, Chicago, Illinois
- Cancer Research Center, Department of Human Genetics, University of Chicago, Chicago, Illinois
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Paolo Boffetta
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - John D. Potter
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Centre for Public Health Research, Massey University, Wellington, New Zealand
- Department of Epidemiology, University of Washington, Seattle
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
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Yang K, Zhang Y, Saito E, Chen Y, Gupta PC, Gao YT, Tamakoshi A, Xiang YB, Koh WP, Sawada N, Sugiyama K, Tomata Y, Sadakane A, Nagata C, You SL, Wang R, Shin MH, Ahsan H, Pan WH, Pednekar MS, Yuan JM, Shu XO, Cai H, Tsugane S, Tsuji I, Kanemura S, Wada K, Ahn YO, Ozasa K, Potter JD, Zheng W, Nan H. Abstract 4234: Association between educational level and mortality: A pooled analysis of over 694,000 individuals in the Asia Cohort Consortium. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-4234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Higher educational levels have been linked to reduced risk of death in previous studies. Most of these studies, however, were conducted in the United States and Europe.
Methods: We performed a pooled analysis to evaluate the association between educational levels and risk of death among 694,434 Asian individuals from 15 prospective cohort studies that participated in the Asia Cohort Consortium. The analysis included 103,023 deaths during a mean follow-up period of 12.5 years, among which 33,945 were due to cancer and 34,645 were due to cardiovascular diseases (CVD). We employed Cox proportional hazards regression models to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the association between educational level and the risk of death after adjusting for potential confounders.
Results: Higher educational levels were significantly associated with lower risk of death from all causes; compared to a low educational level (≤ primary school), HRs and 95% CIs for secondary education, trade/technical education, and ≥ university degree were 0.86 (0.83-0.90), 0.80 (0.71-0.89), and 0.68 (0.61-0.75), respectively (Ptrend <0.0001). Similar associations were observed for cancer or CVD-specific mortality, with HRs of 0.93 (0.89-0.97), 0.87 (0.78-0.97), and 0.79 (0.71-0.87) for risk of cancer deaths with increasing levels of education (Ptrend = 0.003) and HRs of 0.86 (0.81-0.91), 0.75 (0.64-0.87), and 0.64 (0.57-0.73) for risk of CVD deaths with increasing levels of education (Ptrend <0.0001). The pattern of the association among East Asians and South Asians was similar; compared to ≤ primary school, HR (95% CI) for all-cause mortality associated with ≥ university degree was 0.68 (0.61-0.76) among 539,724 East Asians (Chinese, Japanese, and Korean) and 0.61 (0.54-0.69) among 154,710 South Asians (Indians and Bangladeshis) included in this analysis.
Conclusions: Higher educational level was associated with substantially lower risk of death in Asian populations including both East and South Asians.
Citation Format: Keming Yang, Ying Zhang, Eiko Saito, Yu Chen, Prakash C. Gupta, Yu-Tang Gao, Akiko Tamakoshi, Yong-Bing Xiang, Woon-Puay Koh, Norie Sawada, Kemmyo Sugiyama, Yasutake Tomata, Atsuko Sadakane, Chisato Nagata, San-Lin You, Renwei Wang, Myung-Hee Shin, Habibul Ahsan, Wen-Harn Pan, Mangesh S. Pednekar, Jian-Min Yuan, Xiao-Ou Shu, Hui Cai, Shoichiro Tsugane, Ichiro Tsuji, Seiki Kanemura, Keiko Wada, Yoon-Ok Ahn, Kotaro Ozasa, John D. Potter, Wei Zheng, Hongmei Nan. Association between educational level and mortality: A pooled analysis of over 694,000 individuals in the Asia Cohort Consortium [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4234.
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Affiliation(s)
- Keming Yang
- 1Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN
| | - Ying Zhang
- 2Department of Biostatistics, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN
| | - Eiko Saito
- 3Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Yu Chen
- 4Department of Population Health, Department of Environmental Medicine, New York University School of Medicine, New York, NY
| | - Prakash C. Gupta
- 5Healis-Sekhsaria Institute for Public Health, Navi Mumbai, India
| | - Yu-Tang Gao
- 6Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Akiko Tamakoshi
- 7Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yong-Bing Xiang
- 6Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | | | - Norie Sawada
- 3Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Kemmyo Sugiyama
- 9Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Yasutake Tomata
- 9Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | | | - Chisato Nagata
- 11Graduate School of Medicine, Gifu University, Gifu, Japan
| | - San-Lin You
- 12School of Medicine, Big Data Research Centre, Fu-Jen Catholic University, Taipei, Taiwan
| | - Renwei Wang
- 13University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Myung-Hee Shin
- 14Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Habibul Ahsan
- 15Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Wen-Harn Pan
- 16Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | | | - Jian-Min Yuan
- 17Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Xiao-Ou Shu
- 18Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt–Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Hui Cai
- 18Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt–Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Shoichiro Tsugane
- 3Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Ichiro Tsuji
- 9Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Seiki Kanemura
- 9Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Keiko Wada
- 11Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Yoon-Ok Ahn
- 19Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kotaro Ozasa
- 10Radiation Effects Research Foundation, Hiroshima, Japan
| | - John D. Potter
- 20Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Wei Zheng
- 18Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt–Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Hongmei Nan
- 1Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN
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Lin CH, Chuang PY, You SL, Chiang CJ, Huang CS, Wang MY, Chao M, Lu YS, Cheng AL, Tang CH. Effect of glucocorticoid use on survival in patients with stage I-III breast cancer. Breast Cancer Res Treat 2018; 171:225-234. [PMID: 29761323 DOI: 10.1007/s10549-018-4787-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 04/09/2018] [Indexed: 12/22/2022]
Abstract
PURPOSE Glucocorticoids (GCs) are commonly used in breast cancer patients to ameliorate emesis induced by chemotherapy. Some preclinical studies have suggested that systemic GCs might promote survival of estrogen receptor (ER)-negative breast cancer cells. This study aims to clarify their clinical effect on patient survival. METHODS A total of 18,596 women with newly diagnosed stage I-III breast cancer in 2002-2006 were identified from the Taiwan Cancer Database and drug treatment was examined from the Taiwan National Health Insurance Claims Database. Of these, 3989 who did not receive adjuvant chemotherapy (non-chemotherapy cohort) and 3237 patients who received six cycles of adjuvant anthracycline-based chemotherapy (anthracycline cohort) were included. The impact of GC use on survival was analyzed separately in these two cohorts using Cox proportional hazards models. RESULTS In the non-chemotherapy cohort, GC use was associated with aggressive clinicopathological features of breast cancer. High-dose GC was associated with shorter overall survival in univariate analysis but not in multivariate analysis. In the anthracycline cohort, multivariate analysis showed that GC use at each dose level was significantly associated with longer breast cancer-specific survival (HR 0.65, 0.70, and 0.70 for low-dose, median-dose, and high-dose GC, respectively) and overall survival (HR 0.72, 0.76, and 0.73, respectively) when compared with those receiving no GC. The associations were significant in both ER-positive and ER-negative subgroups for breast cancer-specific survival, and in ER-negative subgroup for overall survival. CONCLUSION Concomitant use of GC improved survival in patients receiving adjuvant anthracycline-based chemotherapy for stage I-III breast cancer.
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Affiliation(s)
- Ching-Hung Lin
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Oncology Center, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Po-Ya Chuang
- School of Health Care Administration, Taipei Medical University, No. 172-1, Keelung Road, Section 2, Taipei, 106, Taiwan
| | - San-Lin You
- Department of Public Health, College of Medicine, National Taiwan University, Taipei, Taiwan.,Big Data Research Centre, Fu-Jen Catholic University, New Taipei City, Taiwan.,Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Chun-Ju Chiang
- Taiwan Cancer Registry and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chiun-Sheng Huang
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming-Yang Wang
- Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming Chao
- Department of Surgery, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Yen-Shen Lu
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Ann-Lii Cheng
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chao-Hsiun Tang
- School of Health Care Administration, Taipei Medical University, No. 172-1, Keelung Road, Section 2, Taipei, 106, Taiwan.
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Chu YJ, Yang HI, Wu HC, Lee MH, Liu J, Wang LY, Lu SN, Jen CL, You SL, Santella RM, Chen CJ. Aflatoxin B 1 exposure increases the risk of hepatocellular carcinoma associated with hepatitis C virus infection or alcohol consumption. Eur J Cancer 2018. [PMID: 29533866 DOI: 10.1016/j.ejca.2018.02.010] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Hepatocarcinogenicity of aflatoxin B1 (AFB1) has rarely been studied in populations with hepatitis C virus (HCV) infection and those without hepatitis B virus (HBV) and HCV infection (non-B-non-C). This case-control study nested in a community-based cohort aimed to investigate the HCC risk associated with AFB1 in HCV-infected and non-B-non-C participants. METHODS Baseline serum AFB1-albumin adduct levels were measured in 100 HCC cases and 1767 controls seronegative for anti-HCV and HBsAg (non-B-non-C), and another 103 HCC cases and 176 controls who were anti-HCV-seropositive and HBsAg-seronegative. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated using logistic regression. RESULTS In 20 years of follow-up, the follow-up time to newly developed HCC was significantly shorter in participants with higher serum AFB1-albumin adduct levels in non-B-non-C (p = 0.0162) and HCV-infected participants (p < 0.0001). Within 8 years of follow-up, HCV infection and AFB1 exposure were independent risk factors for HCC. Elevated serum AFB1-albumin adduct levels were significantly associated with an increased risk of HCC newly developed within 8 years of follow-up in non-B-non-C participants with habitual alcohol consumption [crude OR (95% CI) for high vs. low/undetectable levels, 4.22 (1.16-15.37)] and HCV-infected participants [3.39 (1.31-8.77)], but not in non-B-non-C participants without alcohol drinking habit. AFB1 exposure remained an independent risk predictor for HCV-related HCC after adjustment for other HCC predictors (multivariate-adjusted OR [95% CI], 3.65 [1.32-10.10]). CONCLUSIONS AFB1 exposure contributes to the development of HCC in participants with significant risk factors for cirrhosis including alcohol and HCV infection.
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Affiliation(s)
- Yu-Ju Chu
- Institute of Microbiology and Immunology, National Yang-Ming University, No.155, Sec.2, Linong Street, Taipei, 112, Taiwan; Genomics Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
| | - Hwai-I Yang
- Genomics Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
| | - Hui-Chen Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 630 West 168th St, New York, NY, 10032, USA.
| | - Mei-Hsuan Lee
- Institute of Clinical Medicine, National Yang-Ming University, No.155, Sec.2, Linong Street, Taipei, 112, Taiwan.
| | - Jessica Liu
- Genomics Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
| | - Li-Yu Wang
- Department of Medicine, Mackay Medical College, No.46, Sec. 3, Zhongzheng Rd., Sanzhi Dist., New Taipei City, 252, Taiwan.
| | - Sheng-Nan Lu
- Division of Hepatogastroenterology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 123 Ta Pei Road, Niao Sung Dist., Kaohsiung, 833, Taiwan.
| | - Chin-Lan Jen
- Genomics Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, No.510, Zhongzheng Rd., Xinzhuang Dist., New Taipei City, 242, Taiwan.
| | - Regina M Santella
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 630 West 168th St, New York, NY, 10032, USA.
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 115, Taiwan.
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Hu JM, Shen CJ, Chou YC, Hung CF, Tian YF, You SL, Chen CY, Hsu CH, Hsiao CW, Lin CY, Sun CA. Risk of colorectal cancer in patients with periodontal disease severity: a nationwide, population-based cohort study. Int J Colorectal Dis 2018; 33:349-352. [PMID: 29397431 DOI: 10.1007/s00384-018-2965-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/11/2018] [Indexed: 02/04/2023]
Abstract
BACKGROUND Periodontal disease (PD) and colorectal cancer (CRC) were associated with chronic inflammation. This retrospective cohort study examined the association between PD severity and CRC in a large-scale, population-based Chinese cohort. METHODS A total of approximately 106,487 individuals with newly diagnosed PD and 106,487 age-matched and sex-matched patients without PD from 2000 to 2002 were identified from Taiwan's National Health Insurance Research Database (NHIRD). RESULTS The Kaplan-Meier analysis revealed that the cumulative incidence of CRC was significantly higher in patients with PD than in those without PD (log-rank test, P < 0.001). After adjustment for age, sex, and comorbidities, patients with PD were associated with a significantly higher risk of CRC compared with those without PD (adjusted HR = 1.64, 95% CI = 1.50-1.80). Further, the risk of CRC appeared to increase with increasing frequency of PD medical visits [adjusted HR (95% CI) was 1.78 (1.58-2.02) and 1.53 (1.35-1.74) for annual visits > 10 and < 4, respectively]. CONCLUSION Based on our study, PD severity was associated with an increase in the risk of CRC. Further mechanistic research is needed.
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Affiliation(s)
- Je-Ming Hu
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City, Taiwan.,School of Medicine, National Defense Medical Center, Taipei City, Taiwan
| | - Cheng-Jung Shen
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Chi-Feng Hung
- Department of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhuang District, New Taipei City, 24205, Taiwan, Republic of China
| | - Yu-Feng Tian
- Division of General Surgery, Department of Surgery, Chi-Mei Hospital, Tainan, Taiwan
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhuang District, New Taipei City, 24205, Taiwan, Republic of China
| | - Chao-Yang Chen
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan.,School of Medicine, National Defense Medical Center, Taipei City, Taiwan
| | - Chih-Hsiung Hsu
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City, Taiwan.,School of Medicine, National Defense Medical Center, Taipei City, Taiwan
| | - Cheng-Wen Hsiao
- Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Chun-Yu Lin
- Division of Colorectal Surgery, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhuang District, New Taipei City, 24205, Taiwan, Republic of China. .,Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
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Liang HKT, Chen WY, Lai SF, Su MY, You SL, Chen LH, Tseng HM, Chen CM, Kuo SH, Tseng WYI. The extent of edema and tumor synchronous invasion into the subventricular zone and corpus callosum classify outcomes and radiotherapy strategies of glioblastomas. Radiother Oncol 2017; 125:248-257. [PMID: 29056290 DOI: 10.1016/j.radonc.2017.09.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 08/10/2017] [Accepted: 09/23/2017] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE Irradiating glioblastoma preoperative edema (PE) remains controversial. We investigated the associations between tumors' PE extent with invasion into synchronous subventricular zone and corpus callosum (sSVZCC) and treatment outcomes to provide the clinical evidence for radiotherapy decision-making. MATERIAL AND METHODS Extensive PE (EPE) was defined as PE extending ≥2 cm from the tumor edge and extensive progressive disease (EPD) as tumors spreading ≥2 cm from the preoperative tumor edge along PE. The survival and progression patterns were analyzed according to EPE and sSVZCC invasion. RESULTS In total, 136 patients were followed for a median of 74.9 (range, 47.6-102.1) months. The median overall survival and progression-free survival were 19.7 versus 28.6 months (p = 0.005) and 11.0 versus 17.4 months (p = 0.011) in patients with EPE+ versus EPE-, and were 18.7 versus 25.4 months (p = 0.021) and 10.7 versus 14.6 months (p = 0.020) in those with sSVZCC+ versus sSVZCC-. The EPD rates for tumors with EPE-/sSVZCC-, EPE-/sSVZCC+, EPE+/sSVZCC-, and EPE+/sSVZCC+ were 2.8%, 7.1%, 37.0%, and 71.9%, respectively. In EPE+/sSVZCC+, tumor migration was associated with the PE extending along the corpus callosum (77.8%) and subventricular zone (50.0%). CONCLUSIONS Our results support the need for developing individualized irradiation strategies for glioblastomas according to EPE and sSVZCC.
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Affiliation(s)
- Hsiang-Kuang Tony Liang
- Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Radiation Science and Proton Therapy Center, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Neurology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Wan-Yu Chen
- Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Radiation Science and Proton Therapy Center, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Shih-Fan Lai
- Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Radiation Science and Proton Therapy Center, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Mao-Yuan Su
- Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - San-Lin You
- School of Medicine, College of Medicine, and Big Data Research Center, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Liang-Hsin Chen
- Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Radiation Science and Proton Therapy Center, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ham-Min Tseng
- Department of Surgery, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chung-Ming Chen
- Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Sung-Hsin Kuo
- Division of Radiation Oncology, Department of Oncology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan; Radiation Science and Proton Therapy Center, National Taiwan University College of Medicine, Taipei, Taiwan; Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Yih Isaac Tseng
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.
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Kuo SH, Yang SY, You SL, Lien HC, Lin CH, Lin PH, Huang CS. Polymorphisms of ESR1, UGT1A1, HCN1, MAP3K1 and CYP2B6 are associated with the prognosis of hormone receptor-positive early breast cancer. Oncotarget 2017; 8:20925-20938. [PMID: 28178648 PMCID: PMC5400556 DOI: 10.18632/oncotarget.14995] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 01/03/2017] [Indexed: 12/22/2022] Open
Abstract
In this study, we investigated whether single nucleotide polymorphisms (SNPs) identified by genome-wide association study (GWAS) (MAP3K1, FGFR2, TNRC9, HCN1, and 5p12), and SNPs involved in the metabolism of estrogen (CYP19, COMT, ESR1, and UGT1A1), tamoxifen (CYP2C9, CYP2C19, CYP3A5, and CYP2D6), and chemotherapeutic agents (ABCB1, ALDH3A1, and CYP2B6) are associated with the prognoses of 414 hormone receptor (HR)-positive early breast cancers with negative or 1 to 3 nodal metastases. At a median follow-up period of 10.6 years, 363 patients were alive, and 51 (12.3%) had died. Multiple-adjusted hazard ratios (aHRs) and the corresponding 95% confidence intervals for distant disease-free survival (DDFS), disease-free survival (DFS), and overall survival (OS) in association with the genotypes of 34 SNPs from the above-mentioned 16 genes were evaluated, using the stepwise selection Cox model. We found that the SNP, ESR1-codon325 rs1801132 (G/G+G/C), was associated with a longer DDFS, whereas UGT1A1 rs4148323 (A/A+A/G), and HCN1 rs981782 (A/A+A/C) were significantly associated with poorer DDFS. MAP3K1 rs889312 (C/C) and CYP2B6 rs3211371 (T/C) were significantly associated with poor DFS, DDFS and OS. Among premenopausal women, MAP3K1 rs889312 (C/C), CYP2B6 rs3211371 (T/C), CYP2B6 rs4802101 (T/T), ABCB1 rs2032582 (C/C), and ALDH3A1 rs2231142 (G/G) were significantly associated with poor DDFS, DFS, or OS. Our results provide additional evidence that genetic polymorphisms observed in SNPs are associated with the prognoses of patients with HR-positive breast cancers; this may indicate different treatment strategies for these patients.
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Affiliation(s)
- Sung-Hsin Kuo
- Department of Oncology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.,Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.,Cancer Research Center, National Taiwan University College of Medicine, Taipei, Taiwan.,National Taiwan University Cancer Center, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Shi-Yi Yang
- Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - San-Lin You
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei, Taiwan.,Big Data Research Center, Fu-Jen Catholic University, New Taipei, Taiwan
| | - Huang-Chun Lien
- Department of Pathology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ching-Hung Lin
- Department of Oncology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.,Cancer Research Center, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Po-Han Lin
- Department of Medical Genetics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chiun-Sheng Huang
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
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Li C, Lyu S, Zhu B, Wan ZH, Liu WS, Guo L, You SL, Xin SJ. [Risk factors for short-term outcome of patients with HBV-related acute-on-chronic liver failure]. Zhonghua Gan Zang Bing Za Zhi 2017; 24:207-13. [PMID: 27095765 DOI: 10.3760/cma.j.issn.1007-3418.2016.03.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate the risk factors for the short-term outcome of patients with hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF), and to establish a risk model for predicting the short-term outcome of these patients. METHODS A total of 338 patients with HBV-related ACLF who were admitted to 30 Lod hospital of PLA hospital from January 2010 to January 2014 were enrolled, and a prospective clinical follow-up was performed for them. Multivariate logistic regression was used to determine the risk factors for short-term (12 weeks) outcome, the predictive model with logistic regression equation was established, and the predictive value of this model was evaluated. RESULTS The multivariate logistic regression analysis showed that age, a family history of hepatitis B, hepatic encephalopathy (HE), hepatorenal syndrome (HRS), white blood cell (WBC), platelet (PLT), international normalized ratio (INR), total bilirubin (TBil), total bile acid (TBA), creatinine, Na, HBV DNA, and HBeAg were the independent risk factors for the short-term outcome of these patients. Logistic(p) = -4.466 + 1.192 age + 1.631 family history of hepatitis B + 1.091 HE + 1.631 HRS + 1.208 WBC -1.487 PLT + 1.092 INR + 1.446 TBil + 1.608 TBA -1.101 CHE + 1.279 CRE -1.713 Na + 1.032 HBV DNA + 0.833 HBeAg. The area under the receiver operating characteristic curve of the model for the prediction of short-term outcome was 0.930, the cut-off value was 3.16, the sensitivity was 0.860, and the specificity was 0.871. With the increasing scores of the equation, the mortality of patients tended to increase gradually. CONCLUSION Age, a family history of hepatitis B, HE, HRS, WBC, PLT, INR, TBil, TBA, CHE, CRE, Na, HBV DNA, and HBeAg are the independent risk factors for the short-term outcome of patients with HBV-related ACLF. The model for predicting short-term outcome established on the basis of independent risk factors has a better clinical value in guiding clinical therapy.
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Affiliation(s)
- C Li
- Medical School of PLA, Beijing 100853, China; Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
| | - S Lyu
- Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
| | - B Zhu
- Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
| | - Z H Wan
- Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
| | - W S Liu
- Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
| | - L Guo
- The 61785ed Military Outpatient Department, Beijing 100075, China; Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
| | - S L You
- Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
| | - S J Xin
- Medical School of PLA, Beijing 100853, China; Department of Liver Failure Treatment and Research Center, 302ed hospital of PLA, Beijing 100039, China
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Abstract
BACKGROUND The relationship of alteration of metabolic syndrome (MetS) with dementia remains unclear. The purpose of study was to evaluate the association between dynamic change in MetS status around a 5-year period and dementia. METHODS AND RESULTS The cohort study was conducted from the Taiwanese Survey on Prevalence of Hypertension, Hyperglycemia, and Hyperlipidemia in 2002, with follow-up in 2007. The sample was subsequently linked to the National Health Insurance Research Database. Participants were divided into 3 groups: persistent MetS (MetS both in 2002 and 2007); nonpersistent MetS (MetS either in 2002 or 2007); and non-MetS (MetS neither in 2002 nor 2007). Furthermore, the individuals with nonpersistent MetS were categorized as improved MetS (MetS in 2002 but not in 2007) and worsened MetS (MetS not in 2002 but in 2007). Each participant was tracked until the end of 2011 to identify the development of dementia. In total, 3458 participants aged 40 to 80 years were included. Up to 10 years and 31 741 person-years of follow-up, 76 patients developed dementia. Only a relationship was found between the nonpersistent MetS and dementia (adjusted hazard ratio=1.93; 95% confidence interval =1.17-3.19; P=0.010). Moreover, a significantly higher dementia risk was observed in patients with worsened MetS (adjusted hazard ratio=2.22; 95% confidence interval=1.32-3.72; P=0.003), but not those with persistent (P=0.752) or improved (P=0.829) MetS. Similar results were detected in participants aged ≥65 years. CONCLUSIONS Patients with worsened MetS had an increased dementia risk during the 10-year follow-up period in a population-based sample.
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Affiliation(s)
- Yen-Chun Fan
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Chia-Chi Chou
- Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - San-Lin You
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Centre, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei city, Taiwan
| | | | - Chyi-Huey Bai
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan .,Department of Public Health, College of Medicine, Taipei Medical University, Taipei, Taiwan
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Lai TS, Lee MH, Yang HI, You SL, Lu SN, Wang LY, Yuan Y, L'Italien G, Chien KL, Chen CJ. Hepatitis C viral load, genotype, and increased risk of developing end-stage renal disease: REVEAL-HCV study. Hepatology 2017; 66:784-793. [PMID: 28370058 DOI: 10.1002/hep.29192] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 03/16/2017] [Accepted: 03/23/2017] [Indexed: 12/18/2022]
Abstract
UNLABELLED The association between hepatitis C virus (HCV) infection and end-stage renal disease (ESRD) remains controversial without considering the role of HCV viral load and genotype. This study aimed to determine whether HCV RNA level and genotype affect the risk of developing ESRD. Between 1991 and 1992, 19,984 participants aged 30-65 years were enrolled in a community-based prospective cohort study in Taiwan. Chronic HCV infection was defined by detectable HCV viral load. ESRD was determined as the need for chronic dialysis or renal transplantation. Conventional Cox proportional hazard and competing risk models were used to determine the hazard ratio (HR) for ESRD. After a median follow-up of 16.8 years, 204 cases were detected during 319,474 person-years. The incidence rates of ESRD for nonchronically HCV-infected and chronically HCV-infected patients were 60.2 and 194.3 per 100,000 person-years, respectively. The multivariable HR was 2.33 (95% confidence interval [CI] 1.40-3.89) when comparing patients with and without chronic HCV infection. Patients with low and high HCV RNA levels were at higher risk of ESRD than those who were nonchronically HCV-infected (HR, 2.11, 95% CI 1.16-3.86, and HR, 3.06, 95% CI 1.23-7.58; Ptrend < 0.001). This association remained robust after taking pre-ESRD death as a competing event for ESRD. Patients with HCV genotype 1 tended to have a higher risk of developing ESRD (HR, 3.60 95% CI 1.83-7.07) compared with nonchronically HCV-infected subjects. CONCLUSIONS This study reveals that chronic HCV infection is associated with an increased risk of developing ESRD and suggests that elevated serum levels of HCV RNA (>167,000 IU/mL) and HCV genotype 1 are strong predictors of ESRD, indicating clinical implications for the management of chronic HCV. (Hepatology 2017;66:784-793).
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Affiliation(s)
- Tai-Shuan Lai
- Department of Internal Medicine, National Taiwan University Hospital, Bei-Hu Branch, Taipei, Taiwan.,Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Mei-Hsuan Lee
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Hwai-I Yang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - San-Lin You
- School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Sheng-Nan Lu
- Department of Gastroenterology, Kaohsiung Chang-Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Li-Yu Wang
- Department of Medicine, Mackay Medical College, New Taipei City, Taiwan
| | - Yong Yuan
- Global Health Economics and Outcomes Research, Bristol-Myers Squibb, Princeton, NJ
| | - Gilbert L'Italien
- Global Health Economics and Outcomes Research, Bristol-Myers Squibb, Princeton, NJ.,Yale University School of Medicine, New Haven, CT
| | - Kuo-Liong Chien
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chien-Jen Chen
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Genomics Research Center, Academia Sinica, Taipei, Taiwan
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48
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Chiang YC, Chen YY, Hsieh SF, Chiang CJ, You SL, Cheng WF, Lai MS, Chen CA. Screening frequency and histologic type influence the efficacy of cervical cancer screening: A nationwide cohort study. Taiwan J Obstet Gynecol 2017; 56:442-448. [DOI: 10.1016/j.tjog.2017.01.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/16/2017] [Indexed: 10/19/2022] Open
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49
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Chen Y, Wu F, Saito E, Lin Y, Song M, Luu HN, Gupta PC, Sawada N, Tamakoshi A, Shu XO, Koh WP, Xiang YB, Tomata Y, Sugiyama K, Park SK, Matsuo K, Nagata C, Sugawara Y, Qiao YL, You SL, Wang R, Shin MH, Pan WH, Pednekar MS, Tsugane S, Cai H, Yuan JM, Gao YT, Tsuji I, Kanemura S, Ito H, Wada K, Ahn YO, Yoo KY, Ahsan H, Chia KS, Boffetta P, Zheng W, Inoue M, Kang D, Potter JD. Association between type 2 diabetes and risk of cancer mortality: a pooled analysis of over 771,000 individuals in the Asia Cohort Consortium. Diabetologia 2017; 60:1022-1032. [PMID: 28265721 PMCID: PMC5632944 DOI: 10.1007/s00125-017-4229-z] [Citation(s) in RCA: 111] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 02/01/2017] [Indexed: 12/12/2022]
Abstract
AIMS/HYPOTHESIS The aims of the study were to evaluate the association between type 2 diabetes and the risk of death from any cancer and specific cancers in East and South Asians. METHODS Pooled analyses were conducted of 19 prospective population-based cohorts included in the Asia Cohort Consortium, comprising data from 658,611 East Asians and 112,686 South Asians. HRs were used to compare individuals with diabetes at baseline with those without diabetes for the risk of death from any cancer and from site-specific cancers, including cancers of the oesophagus, stomach, colorectum, colon, rectum, liver, bile duct, pancreas, lung, breast, endometrium, cervix, ovary, prostate, bladder, kidney and thyroid, as well as lymphoma and leukaemia. RESULTS During a mean follow-up of 12.7 years, 37,343 cancer deaths (36,667 in East Asians and 676 in South Asians) were identified. Baseline diabetes status was statistically significantly associated with an increased risk of death from any cancer (HR 1.26; 95% CI 1.21, 1.31). Significant positive associations with diabetes were observed for cancers of the colorectum (HR 1.41; 95% CI 1.26, 1.57), liver (HR 2.05; 95% CI 1.77, 2.38), bile duct (HR 1.41; 95% CI 1.04, 1.92), gallbladder (HR 1.33; 95% CI 1.10, 1.61), pancreas (HR 1.53; 95% CI 1.32, 1.77), breast (HR 1.72; 95% CI 1.34, 2.19), endometrium (HR 2.73; 95% CI 1.53, 4.85), ovary (HR 1.60; 95% CI 1.06, 2.42), prostate (HR 1.41; 95% CI 1.09, 1.82), kidney (HR 1.84; 95% CI 1.28, 2.64) and thyroid (HR 1.99; 95% CI 1.03, 3.86), as well as lymphoma (HR 1.39; 95% CI 1.04, 1.86). Diabetes was not statistically significantly associated with the risk of death from leukaemia and cancers of the bladder, cervix, oesophagus, stomach and lung. CONCLUSIONS/INTERPRETATION Diabetes was associated with a 26% increased risk of death from any cancer in Asians. The pattern of associations with specific cancers suggests the need for better control (prevention, detection, management) of the growing epidemic of diabetes (as well as obesity), in order to reduce cancer mortality.
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Affiliation(s)
- Yu Chen
- Department of Population Health, New York University School of Medicine, 650 First Avenue, Room 510, New York, NY, 10016, USA.
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo Park, NY, 10987, USA.
| | - Fen Wu
- Department of Population Health, New York University School of Medicine, 650 First Avenue, Room 510, New York, NY, 10016, USA
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo Park, NY, 10987, USA
| | - Eiko Saito
- AXA Department of Health and Human Security, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Yingsong Lin
- Department of Public Health, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Minkyo Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hung N Luu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Prakash C Gupta
- Healis Sekhsaria Institute for Public Health, Navi Mumbai, India
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Akiko Tamakoshi
- Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Woon-Puay Koh
- Duke-NUS Medical School Singapore, Singapore, Republic of Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Yong-Bing Xiang
- Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, People's Republic of China
| | - Yasutake Tomata
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Kemmyo Sugiyama
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Keitaro Matsuo
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Chisato Nagata
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - You-Lin Qiao
- Cancer Foundation of China, Beijing, People's Republic of China
| | - San-Lin You
- School of Medicine, Fu-Jen Catholic University, Taipei, Taiwan
- Big Data Research Centre, Fu-Jen Catholic University, Taipei, Taiwan
| | - Renwei Wang
- University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | | | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jian-Min Yuan
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
- Division of Cancer Control and Population Science, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
| | - Yu-Tang Gao
- Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, People's Republic of China
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Hidemi Ito
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Keiko Wada
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Keun-Young Yoo
- Armed Forces Capital Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Paolo Boffetta
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Manami Inoue
- AXA Department of Health and Human Security, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - John D Potter
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Centre for Public Health Research, Massey University, Wellington, New Zealand
- Department of Epidemiology, University of Washington, Seattle, WA, USA
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50
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Chu YJ, Yang HI, Wu HC, Liu J, Wang LY, Lu SN, Lee MH, Jen CL, You SL, Santella RM, Chen CJ. Aflatoxin B 1 exposure increases the risk of cirrhosis and hepatocellular carcinoma in chronic hepatitis B virus carriers. Int J Cancer 2017; 141:711-720. [PMID: 28509392 DOI: 10.1002/ijc.30782] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 04/26/2017] [Indexed: 12/13/2022]
Abstract
The relation between aflatoxin B1 (AFB1 ) and cirrhosis in chronic carriers of hepatitis B virus (HBV) remains inconclusive. This case-control study nested in a large community-based cohort aimed to assess the effect of AFB1 exposure on cirrhosis and HCC in chronic HBV carriers. Serum AFB1 -albumin adduct levels at study entry were measured in 232 cirrhosis cases, 262 HCC cases and 577 controls. Multivariate-adjusted odds ratios (aORs) and 95% confidence intervals (95% CIs) were estimated using logistic regression. Among all chronic HBV carriers, the time intervals between study entry and diagnosis of HCC, cirrhosis, cirrhotic HCC, and non-cirrhotic HCC were all significantly (p < 0.0001) shorter in participants with high serum levels of AFB1 -albumin adducts than those with low/undetectable levels. There were significant dose-response relations with serum AFB1 -albumin adduct level at study entry for cirrhosis (p-trend = 0.0001) and cirrhotic HCC (p-trend < 0.0001) newly diagnosed within 9 years after entry as well as non-cirrhotic HCC (p-trend = 0.021) newly diagnosed within 4 years after entry. The aORs (95% CIs) for high versus undetectable serum AFB1 -albumin adduct levels were 2.45 (1.51-3.98) for cirrhosis (p = 0.0003), 5.47 (2.20-13.63) for cirrhotic HCC (p = 0.0003), and 5.39 (1.11-26.18) for non-cirrhotic (p = 0.0368) HCC, respectively. There remained a significant dose-response relation between serum AFB1 -albumin adduct level and HCC risk (p-trend = 0.0291) in cirrhosis patients, showing an aOR (95% CI) of 3.04 (1.11-8.30) for high versus undetectable serum levels (p = 0.0299). It is concluded that AFB1 exposure may increase the risk of cirrhosis and HCC in a dose-response manner among chronic HBV carriers.
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Affiliation(s)
- Yu-Ju Chu
- Institute of Microbiology and Immunology, National Yang Ming University, Taipei, Taiwan.,Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Hwai-I Yang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Hui-Chen Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY
| | - Jessica Liu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Li-Yu Wang
- Department of Medicine, Mackay Medical College, New Taipei City, Taiwan
| | - Sheng-Nan Lu
- Division of Hepatogastroenterology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Mei-Hsuan Lee
- Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan
| | - Chin-Lan Jen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - San-Lin You
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei, Taiwan
| | - Regina M Santella
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
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