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Kawai S, Lin Y, Tsuge H, Ito H, Matsuo K, Wada K, Nagata C, Narii N, Kitamura T, Utada M, Sakata R, Kimura T, Tamakoshi A, Sugawara Y, Tsuji I, Suzuki S, Sawada N, Tsugane S, Mizoue T, Oze I, Abe SK, Inoue M. Body mass index and lung cancer risk: Pooled analysis of 10 prospective cohort studies in Japan. Cancer Sci 2024; 115:1346-1359. [PMID: 38310695 PMCID: PMC11007012 DOI: 10.1111/cas.16093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 11/19/2023] [Accepted: 12/20/2023] [Indexed: 02/06/2024] Open
Abstract
Mounting evidence suggests that body mass index (BMI) is inversely associated with the risk of lung cancer. However, relatively few studies have explored this association in Asian people, who have a much lower prevalence of obesity than Caucasians. We pooled data from 10 prospective cohort studies involving 444,143 Japanese men and women to address the association between BMI and the risk of lung cancer. Study-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated in each cohort using the Cox proportional hazards model. A meta-analysis was undertaken by combining the results from each cohort. Heterogeneity across studies was evaluated using Cochran's Q and I2statistics. During 5,730,013 person-years of follow-up, 6454 incident lung cancer cases (4727 men and 1727 women) were identified. Baseline BMI was inversely associated with lung cancer risk in men and women combined. While leanness (BMI <18.5) was associated with a higher risk of lung cancer (HR 1.35; 95% CI, 1.16-1.57), overweight and obesity were associated with a lower risk, with HRs of 0.77 (95% CI, 0.71-0.84) and 0.69 (95% CI, 0.45-1.07), respectively. Every 5 kg/m2 increase in BMI was associated with a 21% lower risk of lung cancer (HR 0.79; 95% CI, 0.75-0.83; p < 0.0001). Our pooled analysis indicated that BMI is inversely associated with the risk of lung cancer in the Japanese population. This inverse association could be partly attributed to residual confounding by smoking, as it was more pronounced among male smokers.
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Affiliation(s)
- Sayo Kawai
- Department of Public HealthAichi Medical University School of MedicineAichiJapan
| | - Yingsong Lin
- Department of Public HealthAichi Medical University School of MedicineAichiJapan
| | - Hiroshi Tsuge
- Division of Cancer Information and ControlAichi Cancer Center Research InstituteNagoyaJapan
| | - Hidemi Ito
- Division of Cancer Information and ControlAichi Cancer Center Research InstituteNagoyaJapan
- Division of Descriptive Cancer EpidemiologyNagoya University Graduate School of MedicineNagoyaJapan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and PreventionAichi Cancer Center Research InstituteNagoyaJapan
- Department of Cancer EpidemiologyNagoya University Graduate School of MedicineNagoyaJapan
| | - Keiko Wada
- Department of Epidemiology and Preventive MedicineGifu University Graduate School of MedicineGifuJapan
| | - Chisato Nagata
- Department of Epidemiology and Preventive MedicineGifu University Graduate School of MedicineGifuJapan
| | - Nobuhiro Narii
- Department of Environmental Medicine and Population Sciences, Graduate School of MedicineOsaka UniversitySuitaJapan
| | - Tetsuhisa Kitamura
- Department of Environmental Medicine and Population Sciences, Graduate School of MedicineOsaka UniversitySuitaJapan
| | - Mai Utada
- Department of EpidemiologyRadiation Effects Research FoundationHiroshimaJapan
| | - Ritsu Sakata
- Department of EpidemiologyRadiation Effects Research FoundationHiroshimaJapan
| | - Takashi Kimura
- Department of Public HealthHokkaido University Faculty of MedicineSapporoJapan
| | - Akiko Tamakoshi
- Department of Public HealthHokkaido University Faculty of MedicineSapporoJapan
| | - Yumi Sugawara
- Division of Epidemiology, Department of Public Health and Forensic MedicineTohoku University Graduate School of MedicineSendaiJapan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Public Health and Forensic MedicineTohoku University Graduate School of MedicineSendaiJapan
| | - Seitaro Suzuki
- Division of Cohort ResearchNational Cancer Center Institute for Cancer ControlTokyoJapan
| | - Norie Sawada
- Division of Cohort ResearchNational Cancer Center Institute for Cancer ControlTokyoJapan
| | - Shoichiro Tsugane
- Division of Cohort ResearchNational Cancer Center Institute for Cancer ControlTokyoJapan
- National Institute of Health and Nutrition, National Institutes of Biomedical InnovationHealth and NutritionTokyoJapan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical SciencesNational Center for Global Health and MedicineTokyoJapan
| | - Isao Oze
- Division of Cancer Epidemiology and PreventionAichi Cancer Center Research InstituteNagoyaJapan
| | - Sarah Krull Abe
- Division of PreventionNational Cancer Center Institute for Cancer ControlTokyoJapan
| | - Manami Inoue
- Division of PreventionNational Cancer Center Institute for Cancer ControlTokyoJapan
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Kondo KK, Rahman B, Ayers CK, Relevo R, Griffin JC, Halpern MT. Lung cancer diagnosis and mortality beyond 15 years since quit in individuals with a 20+ pack-year history: A systematic review. CA Cancer J Clin 2024; 74:84-114. [PMID: 37909870 DOI: 10.3322/caac.21808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 11/03/2023] Open
Abstract
Current US lung cancer screening recommendations limit eligibility to adults with a pack-year (PY) history of ≥20 years and the first 15 years since quit (YSQ). The authors conducted a systematic review to better understand lung cancer incidence, risk and mortality among otherwise eligible individuals in this population beyond 15 YSQ. The PubMed and Scopus databases were searched through February 14, 2023, and relevant articles were searched by hand. Included studies examined the relationship between adults with both a ≥20-PY history and ≥15 YSQ and lung cancer diagnosis, mortality, and screening ineligibility. One investigator abstracted data and a second confirmed. Two investigators independently assessed study quality and certainty of evidence (COE) and resolved discordance through consensus. From 2636 titles, 22 studies in 26 articles were included. Three studies provided low COE of elevated lung cancer incidence beyond 15 YSQ, as compared with people who never smoked, and six studies provided moderate COE that the risk of a lung cancer diagnosis after 15 YSQ declines gradually, but with no clinically significant difference just before and after 15 YSQ. Studies examining lung cancer-related disparities suggest that outcomes after 15 YSQ were similar between African American/Black and White participants; increasing YSQ would expand eligibility for African American/Black individuals, but for a significantly larger proportion of White individuals. The authors observed that the risk of lung cancer not only persists beyond 15 YSQ but that, compared with individuals who never smoked, the risk may remain significantly elevated for 2 or 3 decades. Future research of nationally representative samples with consistent reporting across studies is needed, as are better data from which to examine the effects on health disparities across different populations.
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Affiliation(s)
- Karli K Kondo
- Early Cancer Detection Science, American Cancer Society, Kennesaw, Georgia, USA
- Research Integrity, Oregon Health & Science University, Portland, Oregon, USA
| | - Basmah Rahman
- Early Cancer Detection Science, American Cancer Society, Kennesaw, Georgia, USA
| | - Chelsea K Ayers
- Center to Improve Veteran Involvement in Care, Portland Veterans Affairs Health Care System, Portland, Oregon, USA
| | - Rose Relevo
- Early Cancer Detection Science, American Cancer Society, Kennesaw, Georgia, USA
| | - Jessica C Griffin
- Early Cancer Detection Science, American Cancer Society, Kennesaw, Georgia, USA
| | - Michael T Halpern
- Division of Cancer Control & Population Sciences, National Cancer Institute, Bethesda, Maryland, USA
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Malki A, Shaik RA, Sami W. Association between metabolically healthy obesity and metastasis in lung cancer patients - a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1238459. [PMID: 37842311 PMCID: PMC10571134 DOI: 10.3389/fendo.2023.1238459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/15/2023] [Indexed: 10/17/2023] Open
Abstract
Background Many clinical trials have looked at the relationship between obesity and lung cancer (LC), however, there is scarcity of literature specifically addressing the association between metabolically healthy obesity and metastasis in LC patients. To address this gap in the body of evidence, the study was conducted to observe the association between metabolically healthy obesity and metastasis in LC patients. Methods We conducted a pre-registered systematic review by searching six major online databases to identify studies relevant related to our investigation, in adherence with the PRISMA guidelines. A proper data extraction protocol was further established to synthesize the findings from the selected papers through a meta-analysis. Results Eleven (11) studies met the requisite selection criterion and were included in the study. A random-effect model was used. Obesity was found to have a significant impact on readmission in LC patients. The combined analysis showed a significant effect size of 0.08 (95% CI 0.07 to 0.08), indicating a noticeable impact of obesity. It was also assessed that obese individuals had a 34% reduced risk of LC compared to normal weight individuals. Obesity was associated with a lower risk of surgical complications with a pooled risk ratio of 0.13 (95% CI 0.12 to 0.14). A statistically significant decreased risk of LC (pooled RR = 0.72, 95% CI: 0.68 to 0.77) was also observed in the obese individuals. Conclusion The analysis reveals that obesity is associated with a noticeable increase in readmissions, although the impact on LC risk itself is negligible. Moreover, obesity appears to have a beneficial effect by reducing the risk of surgical complications. These results highlight the complex relationship between the two aforementioned factors, emphasizing the importance of considering obesity as a significant factor in patient management and healthcare decision-making. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023427612.
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Affiliation(s)
- Ahmed Malki
- Biomedical Science Department, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Riyaz Ahamed Shaik
- Department of Family and Community Medicine, College of Medicine, Majmaah University, Majmaah, Saudi Arabia
| | - Waqas Sami
- Department of Pre-clinical Affairs, College of Nursing, QU-Health, Qatar University, Doha, Qatar
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Shao F, Chen Y, Xu H, Chen X, Zhou J, Wu Y, Tang Y, Wang Z, Zhang R, Lange T, Ma H, Hu Z, Shen H, Christiani DC, Chen F, Zhao Y, You D. Metabolic Obesity Phenotypes and Risk of Lung Cancer: A Prospective Cohort Study of 450,482 UK Biobank Participants. Nutrients 2022; 14:3370. [PMID: 36014876 PMCID: PMC9414360 DOI: 10.3390/nu14163370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/13/2022] [Accepted: 08/14/2022] [Indexed: 12/24/2022] Open
Abstract
(1) Background: The association between metabolic obesity phenotypes and incident lung cancer (LC) remains unclear. (2) Methods: Based on the combination of baseline BMI categories and metabolic health status, participants were categorized into eight groups: metabolically healthy underweight (MHUW), metabolically unhealthy underweight (MUUW), metabolically healthy normal (MHN), metabolically unhealthy normal (MUN), metabolically healthy overweight (MHOW), metabolically unhealthy overweight (MUOW), metabolically healthy obesity (MHO), and metabolically unhealthy obesity (MUO). The Cox proportional hazards model and Mendelian randomization (MR) were applied to assess the association between metabolic obesity phenotypes with LC risk. (3) Results: During a median follow-up of 9.1 years, 3654 incident LC patients were confirmed among 450,482 individuals. Compared with participants with MHN, those with MUUW had higher rates of incident LC (hazard ratio (HR) = 3.24, 95% confidence interval (CI) = 1.33-7.87, p = 0.009). MHO and MHOW individuals had a 24% and 18% lower risk of developing LC, respectively (MHO: HR = 0.76, 95% CI = 0.61-0.95, p = 0.02; MHO: HR = 0.82, 95% CI = 0.70-0.96, p = 0.02). No genetic association of metabolic obesity phenotypes and LC risk was observed in MR analysis. (4) Conclusions: In this prospective cohort study, individuals with MHOW and MHO phenotypes were at a lower risk and MUUW were at a higher risk of LC. However, MR failed to reveal any evidence that metabolic obesity phenotypes would be associated with a higher risk of LC.
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Affiliation(s)
- Fang Shao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yina Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Hongyang Xu
- Department of Critical Care Medicine, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China
| | - Xin Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Jiawei Zhou
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yaqian Wu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yingdan Tang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhongtian Wang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- China International Cooperation Center of Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing 211166, China
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, ØsterFarimagsgade 5, 1353 Copenhagen, Denmark
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - David C. Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, USA
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- China International Cooperation Center of Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- China International Cooperation Center of Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Dongfang You
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Tong C, Li T, Shen Y, Zhu H, Zheng J, Wu J. Obesity Does Not Increase Perioperative Outcomes in Older Patients Undergoing Thoracoscopic Anatomic Lung Cancer Surgery. Front Oncol 2022; 12:881467. [PMID: 35600366 PMCID: PMC9121795 DOI: 10.3389/fonc.2022.881467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/07/2022] [Indexed: 12/01/2022] Open
Abstract
Objectives To investigate the relationship between obesity status and perioperative outcomes in elderly patients undergoing thoracoscopic anatomic lung cancer surgery. Methods From January 2016 to December 2018, we performed a monocentric retrospective cohort study among 4164 consecutive patients aged 65 years or older who underwent thoracoscopic anatomic lung cancer surgery at Shanghai Chest Hospital. Two groups were stratified by body mass index (BMI): nonobese (BMI<28kg/m2) and obese status (BMI≥28kg/m2). Using a 1:1 propensity score matching (PSM) analysis to compare perioperative outcomes between two groups. Results 4035 older patients were eventually enrolled, with a mean age of 69.8 years (range: 65-87), and 305 patients were eligible for obese status, with a mean BMI of 29.8 ± 1.7kg/m2. Compared with nonobese patients, obese patients were more likely to have higher rates of intraoperative hypoxemia (1.2% vs 3.9%, P=0.001) and new-onset arrhythmia (2.3% vs 4.3%, P=0.034). The difference in intraoperative transfusion and conversion rates and postoperative outcomes regarding pulmonary complications, new-onset arrhythmia, transfusion, length of hospital stay, 30-day readmission and hospitalization costs between two groups were not significant (P>0.05). After a 1:1 PSM analysis, the difference in both intraoperative and postoperative complications among two groups were not significant (P>0.05). In subgroup analysis, patients with BMI≥30kg/m2 had a similar incidence of perioperative complications compared to patients with BMI between 28 and 30 kg/m2 (P>0.05). Conclusions Our research data support evidence for “obesity paradox” and also contribute the growing body of evidence that obesity in older patients should not exclude candidates for thoracoscopic anatomic lung cancer surgery.
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Affiliation(s)
- Chaoyang Tong
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
- Department of Anesthesiology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Tingting Li
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yaofeng Shen
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Hongwei Zhu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jijian Zheng
- Department of Anesthesiology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Jingxiang Wu, ; Jijian Zheng,
| | - Jingxiang Wu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Jingxiang Wu, ; Jijian Zheng,
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Tong C, Lu H, Zhu H, Wu J. Impact of body mass index on perioperative and oncological outcomes in elderly patients undergoing minimally invasive McKeown esophagectomy for esophageal squamous cell carcinoma. Cancer Med 2022; 11:2913-2922. [PMID: 35312237 PMCID: PMC9359875 DOI: 10.1002/cam4.4660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/13/2022] [Accepted: 02/19/2022] [Indexed: 11/06/2022] Open
Abstract
Background The association between elevated body mass index (BMI) and perioperative and oncological outcomes among elderly patients undergoing minimally invasive McKeown esophagectomy (MIE) remains unclear. Methods We performed a single‐center retrospective analysis of 526 consecutive patients aged 65 years or older who underwent MIE for esophageal squamous cell carcinoma (SCC) between January 2016 and December 2019. Two groups were stratified by BMI: normal (18.5 ≤ BMI < 24 kg/m2) and elevated groups (BMI ≥ 24 kg/m2). A 1:1 propensity score matching (PSM) analysis was used to compare perioperative and oncological outcomes between the two groups. Results A total of 480 elderly patients were eventually enrolled, with a mean age of 70.2 years (range: 65–87), and 185 patients were eligible for elevated BMI, with a mean BMI of 26.3 ± 1.9 kg/m2. Compared with the normal BMI group, the elevated BMI group had prolonged operation time (261.7 ± 57.2 vs. 278.9 ± 62.7 mins, p = 0.002) and increased incidence of intraoperative hypoxemia (12.2% vs. 21.6%, p = 0.006). The differences in intraoperative estimated blood loss, transfusion, new‐onset arrhythmia, and conversion rates and postoperative outcomes regarding pulmonary and surgical complications, intensive care unit and 30‐day readmissions, the length of hospital stay, and oncological outcomes regarding R0 dissection, and the number of dissected lymph nodes between two groups were comparable. After a 1:1 PSM analysis, there was no significant difference in both perioperative and oncological outcomes between two groups. Conclusions Among elderly patients undergoing MIE for esophageal SCC, there was insufficient evidence to demonstrate that elevated BMI could increase perioperative and oncological adverse outcomes.
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Affiliation(s)
- Chaoyang Tong
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.,Department of Anesthesiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Huijie Lu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Hongwei Zhu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jingxiang Wu
- Department of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
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Mili N, Paschou SA, Goulis DG, Dimopoulos MA, Lambrinoudaki I, Psaltopoulou T. Obesity, metabolic syndrome, and cancer: pathophysiological and therapeutic associations. Endocrine 2021; 74:478-497. [PMID: 34625915 DOI: 10.1007/s12020-021-02884-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/15/2021] [Indexed: 12/11/2022]
Abstract
Overweight, obesity, and metabolic syndrome (MetS) have become epidemic conditions affecting 39%, 13%, and 20% of the population respectively. The aim of this article is to review the literature on the association of obesity and MetS with the risk of cancer. We also explore the effect of lifestyle modifications, such as diet, physical activity, and antidiabetic medications, on cancer incidence. Increased body mass index (BMI) has been associated with a multitude of site-specific cancers, reaching relative risk (RR) 1.54 [95% confidence interval (CI) 1.47-1.61] per 5 unit increase for endometrial cancer, as well as with overall cancer risk (RR 1.03, 95% CI 1.02-1.05). Central adiposity measured by waist circumference or waist-to-hip ratio has been suggested as a stronger predictor than BMI for several cancers, such as colorectal cancer. Metabolic Syndrome has been consistently and positively associated with the risk of very common cancers like colorectal (RR 1.34, 95% CI 1.24-1.44), endometrial (RR 1.62, 95% CI 1.26-2.07) and postmenopausal breast cancer (RR 2.01, 95% CI 1.55-2.60). Hyperglycemia and subsequently T2DM have been also shown to increase the risk of cancer. Nevertheless, these risk factors are modifiable and therefore implementing lifestyle modifications could prevent an important number of cancer cases. Adherence to cancer prevention guidelines, including maintaining a healthy weight, having regular physical exercise (RR 0.58-0.90 for different cite specific cancers) and following a healthy dietary pattern (RR 0.74-0.94 for different cite specific cancers) have a protective effect on the risk of cancer. The strength of this review is the presentation of the best evidence, as the data derive mainly from meta-analyses. Public health policies should focus on the modification of risk factors and future research is needed to reveal the pathophysiological links between these risk factors and cancer to develop more efficient prevention and treatment strategies.
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Affiliation(s)
- Nikoletta Mili
- Second Department of Obstetrics and Gynecology, Aretaieio Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavroula A Paschou
- Endocrine Unit and Diabetes Centre, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios G Goulis
- First Department of Obstetrics and Gynecology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Meletios-Athanasios Dimopoulos
- Hematology and Oncology Unit, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Irene Lambrinoudaki
- Second Department of Obstetrics and Gynecology, Aretaieio Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodora Psaltopoulou
- Hematology and Oncology Unit, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
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Leung YY, Jin A, Tan KB, Ang LW, Yuan JM, Koh WP. Food sources of dietary fibre and risk of total knee replacement related to severe osteoarthritis, the Singapore Chinese Health Study. RMD Open 2021; 7:rmdopen-2021-001602. [PMID: 34330847 PMCID: PMC8327838 DOI: 10.1136/rmdopen-2021-001602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 06/13/2021] [Indexed: 11/22/2022] Open
Abstract
Objectives We aimed to evaluate the association between fibre intake and its food sources, and the risk of total knee replacement (TKR) due to severe knee osteoarthritis (KOA). Methods We used data from the Singapore Chinese Health Study, a prospective cohort study that recruited 63 257 participants aged 45–74 years from 1993 to 1998. At baseline, we assessed diet using a validated 165-item semiquantitative food frequency questionnaire, together with body mass index (BMI) and lifestyle factors. Incident TKR cases were identified via record linkage with nationwide hospital discharge database through 2017. Results There were 2816 cases of incident TKR due to severe KOA. The total fibre intake at baseline was not associated with the risk of TKR after adjustment for confounders. Among the food sources of fibre, higher intake of legumes was associated with a lower risk of TKR in a dose-dependent manner; compared with those having the lowest quartile intake, HR (95% CI) was 0.86 (0.76, 0.96) for those having the highest quartile intake (p for trend=0.004). This association was consistent after including BMI in the model and homogeneous across BMI categories. The consumption of other fibre sources, namely grain products, nuts and seeds, soy food, fruits and vegetables, was not associated with the risk of TKR. Conclusion Intake of legumes, but not total fibre, was associated with a reduced risk of TKR. Further research is needed to replicate our findings and to evaluate possible biological mechanisms that could explain the effect of dietary legumes on pathogenesis or progression of KOA.
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Affiliation(s)
- Ying Ying Leung
- Rheumatology & Immunology, Singapore General Hospital, Singapore .,Duke-NUS Medical School, Singapore
| | - Aizhen Jin
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Li-Wei Ang
- Government of Singapore Ministry of Health, Singapore.,National Public Health and Epidemiology Unit, National Centre for Infectious Diseases, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Centre, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Reexamining Rates of Decline in Lung Cancer Risk after Smoking Cessation. A Meta-analysis. Ann Am Thorac Soc 2021; 17:1126-1132. [PMID: 32603182 DOI: 10.1513/annalsats.201909-659oc] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Rationale: Prior studies have questioned whether prevailing eligibility criteria for lung cancer screening are sufficiently inclusive of former smokers who remain at elevated risk of disease outside current screening windows.Objectives: To characterize the percentage of the reducible relative risk (RR) remaining for lung cancer as a function of years since quitting (YSQ).Methods: MEDLINE and PubMed were searched from January 2011 to May 2018; key search terms included "smoking" and "cancer." Current smoker RRs were extracted to represent former smokers at 0 YSQ; data were transformed assuming a lognormal distribution.Results: The main review included 49 prospective cohorts across 18 studies comprising a total of 139 RRs from 20 countries and territories. At 1 year since quitting, the percentage of reducible RR remaining for lung cancer was 81.4% (64.1-98.2%). At 5 YSQ, the percentage of reducible RR remaining was 57.2% (45.7-67.3%); at 10 years, it was 36.9% (28.3-47.9%); at 15 years, it was 26.7% (20.2-34.3%); and at 20 years, it was 19.7% (13.3-26.4%). If eligibility criteria in the United States were broadened to screen former smokers at up to 20 YSQ, we estimate an additional 4.2 (3.9-4.5) million former smokers between 55 and 80 years of age would be eligible for lung cancer screening.Conclusions: At the critical screening threshold of 15 YSQ, the percentage of excess risk for lung cancer remains high and only marginally declines at time points afterward, excluding millions of former smokers who remain at elevated risk of malignancy. A risk-based algorithm for lung cancer screening that deemphasizes time after cessation as a key screening determinant would more likely capture these former smokers who remain at elevated risk of malignancy.
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Abe SK, Narita S, Saito E, Sawada N, Shimazu T, Goto A, Yamaji T, Iwasaki M, Inoue M, Tsugane S. Body Mass Index, Height, Weight Change, and Subsequent Lung Cancer Risk: The Japan Public Health Center-Based Prospective Study. Cancer Epidemiol Biomarkers Prev 2021; 30:1708-1716. [PMID: 34172462 DOI: 10.1158/1055-9965.epi-21-0195] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/19/2021] [Accepted: 06/11/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Body mass index (BMI) is inversely associated with lung cancer risk, while residual confounding by smoking or weight change is controversial. Evidence on height and lung cancer is scarce. METHODS We investigated the associations between anthropometrics, BMI, and height, and incidence of lung cancer among 92,098 study subjects (44,158 men and 47,940 women) in the Japan Public Health Center-based Prospective Study. Cox proportional hazards regression was performed with adjustment for potential confounders and by cancer subtypes and smoking status. Information on weight and height was self-reported at baseline, and validated using measured health check-up data. RESULTS During follow-up between 1990 and 2013 (average, 19.1 years), a total of 2,152 lung cancer cases were newly diagnosed. In a multivariate regression model, lower BMI was positively associated with overall lung cancer risk [<19 kg/m2 HR = 1.48; 95% confidence interval (CI) = 1.18-1.85 and 19-22.9 kg/m2; HR = 1.19; 95% CI = 1.05-1.35; P trend = <0.001] in men. The risk estimate was also elevated for adenocarcinoma in the BMI <19 kg/m2 category and for squamous cell carcinoma among men in the 19-22.9 kg/m2 BMI category. An association was also observed between low BMI, weight decrease, and squamous cell carcinoma in women. No significant associations were observed for other weight categories, height, weight change and lung cancer, adenocarcinoma, squamous and small cell carcinoma. CONCLUSIONS Our prospective study suggests that lower BMI may be associated with an increased risk of smoking-related lung cancer in Japan, irrespective of gender. IMPACT This study highlights the association between lower BMI and the risk of lung cancer in men.
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Affiliation(s)
- Sarah K Abe
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
| | - Saki Narita
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
| | - Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
| | - Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan.
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tsukiji, Chuo-ku, Tokyo, Japan
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Ardesch FH, Ruiter R, Mulder M, Lahousse L, Stricker BHC, Kiefte-de Jong JC. The Obesity Paradox in Lung Cancer: Associations With Body Size Versus Body Shape. Front Oncol 2020; 10:591110. [PMID: 33244459 PMCID: PMC7683800 DOI: 10.3389/fonc.2020.591110] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 10/13/2020] [Indexed: 12/21/2022] Open
Abstract
Background The association between obesity and lung cancer (LC) remains poorly understood. However, other indices of obesity on the basis of body shape instead of body size have not been examined yet. The aim of this study was to evaluate the association between different indices of body size and body shape and the risk of LC. In particular, this study examined the association between A Body Shape Index, a more precise indicator of abdominal fat than traditional anthropometric measures, and the risk of LC. Methods In the prospective cohort the Rotterdam Study, we analysed data of 9,689 participants. LC diagnoses were based on medical records and anthropometric measurements were assessed at baseline. Cox-regression analyses with corresponding Hazard Ratios were used to examine the association between the anthropometric measurements and the risk of LC with adjustment for potential confounders. Potential non-linear associations were explored with cubic splines using the Likelihood ratio (LR) test. Results During follow-up, 319 participants developed LC. Body mass Index (BMI) was inversely associated with the risk of lung cancer (HR 0.94, 95% CI: 0.91–0.97) and persisted after excluding lung cancer cases during the first 10 years of follow-up. There was evidence for a non-linear association between BMI and the risk of lung cancer (0,04, df = 1), which indicated that the inverse association between BMI and lung cancer was mainly present in non-obese participants. Waist circumference (WC) (HR 1.03 95% CI: 1.01–1.05), Waist-to-Hip Ratio (WHR) (HR 1.23 95% CI: 1.09–1.38) and ABSI (A Body Shape Index) (HR 1.17 95% CI: 1.05–1.30) were positively and linearly associated with the risk of lung cancer. Conclusions Body shape rather than body size may be an important risk indicator of LC. Future research should focus on the role of visceral fat and the risk of LC as well as the underlying mechanisms.
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Affiliation(s)
- F H Ardesch
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Public Health and Primary Care/LUMC Campus The Hague, Leiden University Medical Center, The Hague, Netherlands
| | - R Ruiter
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - M Mulder
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - L Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - B H C Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - J C Kiefte-de Jong
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Public Health and Primary Care/LUMC Campus The Hague, Leiden University Medical Center, The Hague, Netherlands
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Sin S, Lee CH, Choi SM, Han KD, Lee J. Metabolic Syndrome and Risk of Lung Cancer: An Analysis of Korean National Health Insurance Corporation Database. J Clin Endocrinol Metab 2020; 105:5899082. [PMID: 32860708 DOI: 10.1210/clinem/dgaa596] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 08/25/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Metabolic syndrome is known to increase the risk of several cancers. However, the association between lung cancer and metabolic syndrome remains unclear. Thus, we investigated the impact of metabolic syndrome on the incidence of lung cancer. METHODS This study enrolled participants in a health screening program provided by the Korean National Health Insurance Service between January 2009 and December 2012. The incidence of lung cancer was observed until December 2016. We analyzed the risk of lung cancer according to the presence of metabolic syndrome, metabolic syndrome components, and number of metabolic syndrome components. RESULTS During the study, 45 635 new cases of lung cancer were recorded among 9 586 753 participants. The presence of metabolic syndrome and all its components was positively associated with the risk of lung cancer in men after multivariate adjustment (hazard ratio [HR] of metabolic syndrome 1.15; 95% confidence interval [CI], 1.12-1.18). The risk of lung cancer increased with the number of components present. The effect of metabolic syndrome on the increasing risk of lung cancer is may be higher in underweight male ever-smokers than in other participants. CONCLUSION Metabolic syndrome was associated with an increased risk of lung cancer in men. Moreover, the higher the number of metabolic syndrome components, the higher the risk of lung cancer.
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Affiliation(s)
- Sooim Sin
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kangwon National University College of Medicine, Chuncheon, Republic of Korea
| | - Chang-Hoon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun Mi Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kyung-Do Han
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jinwoo Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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Li H, Khor CC, Fan J, Lv J, Yu C, Guo Y, Bian Z, Yang L, Millwood IY, Walters RG, Chen Y, Yuan JM, Yang Y, Hu C, Chen J, Chen Z, Koh WP, Huang T, Li L. Genetic risk, adherence to a healthy lifestyle, and type 2 diabetes risk among 550,000 Chinese adults: results from 2 independent Asian cohorts. Am J Clin Nutr 2020; 111:698-707. [PMID: 31974579 PMCID: PMC7049535 DOI: 10.1093/ajcn/nqz310] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 11/22/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Whether genetic susceptibility to type 2 diabetes is modified by a healthy lifestyle among Chinese remains unknown. OBJECTIVES The aim of the study was to determine whether genetic risk and adherence to a healthy lifestyle contribute independently to the risk of developing type 2 diabetes. METHODS We defined a lifestyle score using BMI, alcohol intake, smoking, physical activities, and diets in 461,030 participants from the China Kadoorie Biobank and 38,434 participants from the Singapore Chinese Health Study. A genetic risk score was constructed based on type 2 diabetes loci among 100,175 and 16,172 participants in each cohort, respectively. A Cox proportional-hazards model was used to estimate the interaction between genetic and lifestyle factors on the risk of type 2 diabetes. RESULTS In 2 independent Asian cohorts, we consistently found a healthy lifestyle (the bottom quintile of lifestyle score) was associated with a substantially lower risk of type 2 diabetes than an unhealthy lifestyle (the top quintile of lifestyle score) regardless of genetic risk. In those at a high genetic risk, the risk of type 2 diabetes was 57% lower among participants with a healthy lifestyle than among those with an unhealthy lifestyle in the pooled cohorts. Among participants at high genetic risk, the standardized 10-y incidence of type 2 diabetes was 7.11% in those with an unhealthy lifestyle vs. 2.45% in those with a healthy lifestyle. CONCLUSIONS In 2 independent cohorts involving 558,302 Chinese participants, we did not observe an interaction between genetics and lifestyle with type 2 diabetes risk, but our findings provide replicable evidence to show lifestyle factors and genetic factors were independently associated with the risk of type 2 diabetes. Within any genetic risk category, a healthy lifestyle was associated with a significantly lower risk of type 2 diabetes among the Chinese population.
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Affiliation(s)
- Haoxin Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Singapore
- Singapore Eye Research Institute, Singapore
| | - Junning Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Peking University Institute of Environmental Medicine, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robin G Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Yan Yang
- Huixian People's Hospital, Huixian, Henan, China
| | - Chen Hu
- NCDs Prevention and Control Department, Huixian CDC, Huixian, Henan, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Chinese Academy of Medical Sciences, Beijing, China
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Wang L, Jin G, Yu C, Lv J, Guo Y, Bian Z, Yang L, Chen Y, Hu Z, Chen F, Chen Z, Li L, Shen H. Cancer incidence in relation to body fatness among 0.5 million men and women: Findings from the China Kadoorie Biobank. Int J Cancer 2020; 146:987-998. [PMID: 31115907 PMCID: PMC7614994 DOI: 10.1002/ijc.32394] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2018] [Revised: 03/27/2019] [Accepted: 04/18/2019] [Indexed: 11/11/2022]
Abstract
High body mass index (BMI) has been associated with an increased risk of several cancers. Evidence relating body fatness, especially based on different anthropometric measures, to risk of major cancers in China from prospective cohort studies is lacking. The prospective China Kadoorie Biobank study recruited 0.5 million adults aged 30-79 years from 10 diverse areas across China during 2004-2008, recording 21,474 incident cancers during 8.95 years of follow-up. BMI, body fat percentage (BFP), waist circumference (WC) and waist-to-hip ratio (WHR) were measured at baseline. We assessed the associations of body fatness with 15 major cancers by calculating Cox regression yielded adjusted hazard ratios (HRs). Each 5 kg/m2 increase in BMI was associated with an increased risk of endometrial (HR, 2.01; 95% CI, 1.72-2.35), postmenopausal breast (HR, 1.29; 95% CI, 1.18-1.40), colorectal (HR, 1.17; 95% CI, 1.10-1.25) and cervical (HR, 1.15; 95% CI, 1.03-1.29) cancer, whereas it was associated with a reduced risk of esophageal (HR, 0.73; 95% CI, 0.67-0.79), lung (HR, 0.78; 95% CI, 0.74-0.82), liver (HR, 0.85; 95% CI, 0.79-0.92) and gastric (HR, 0.88; 95% CI, 0.82-0.94) cancer. Significant linear trends of BMI-cancer associations were observed, excluding for lung, gastric and cervical cancer (both overall and nonlinear p < 0.05). The relation between BFP, WC and WHR and the above cancers was similar to that of BMI. Our study indicates that either high or low body fatness contributes to the incidence of different types of cancer in China.
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Affiliation(s)
- Lu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Feng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Chinese Academy of Medical Sciences, Beijing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
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Diet, Secondhand Smoke, and Glycated Hemoglobin (HbA1c) Levels among Singapore Chinese Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16245148. [PMID: 31861047 PMCID: PMC6950101 DOI: 10.3390/ijerph16245148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 12/08/2019] [Accepted: 12/10/2019] [Indexed: 11/17/2022]
Abstract
The combination of poor diet and exposure to secondhand smoke may increase hemoglobin A1c (HbA1c) levels, but few studies have explored this interaction. We explored an interaction among 574 never-smoking adults from the Singapore Chinese Health Study. At baseline (age 59 ± 8 years), intakes of omega-3 polyunsaturated fatty acids, vitamin C, vitamin E and fiber were estimated using a modified food frequency questionnaire. At follow-up (age 64 ± 9 years), HbA1c and cotinine were measured. A product term between cotinine (above or below the median value) and each nutrient (high or low intake) was included in separate linear regression models with HbA1c as the outcome. HbA1c among those with high cotinine and low omega-3 polyunsaturated fatty acids intakes were higher than would be expected due to the individual effects alone (p-for-interaction = 0.05). Among those with lower intakes of omega-3 polyunsaturated fatty acids, high cotinine levels were associated with 0.54% higher HbA1c levels (95% confidence interval [CI]: 0.02, 1.06). Conversely, among those with higher intakes of omega-3 polyunsaturated fatty acids, HbA1c differ not differ by exposure (−0.09%; 95% CI: −0.45, 0.30). No evidence of interaction was observed for other nutrients. Diets high in omega-3 polyunsaturated fatty acids may ameliorate secondhand smoke-induced increases in HbA1c.
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Seah JYH, Ong CN, Koh WP, Yuan JM, van Dam RM. A Dietary Pattern Derived from Reduced Rank Regression and Fatty Acid Biomarkers Is Associated with Lower Risk of Type 2 Diabetes and Coronary Artery Disease in Chinese Adults. J Nutr 2019; 149:2001-2010. [PMID: 31386157 PMCID: PMC6825830 DOI: 10.1093/jn/nxz164] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/10/2019] [Accepted: 06/18/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Combinations of circulating fatty acids may affect the risk of type 2 diabetes (T2D) and coronary artery disease (CAD). No previous studies have identified a dietary pattern predicting fatty acid profiles using reduced rank regression (RRR) and evaluated its associations with the risk of T2D and CAD. OBJECTIVE The aim of this study was to derive a dietary pattern to explain variation in plasma fatty acid concentrations using RRR and evaluate these in relation to risk of T2D and CAD. METHODS We derived a dietary pattern using fatty acid concentrations from 711 controls of a nested case-control study in the Singapore Chinese Health Study using RRR with 36 food and beverages as predictors and 19 fatty acid biomarkers as responses. Dietary pattern scores were then calculated for the full cohort of men and women (mean age: 56 y). We followed up 45,411 and 58,065 participants for incident T2D and CAD mortality, respectively. Multivariable Cox regression models were used to estimate HRs and 95% CIs. RESULTS We identified a dietary pattern high in soy, vegetables, fruits, tea, tomato products, bread, fish, margarine and dairy, and low in rice, red meat, coffee, alcohol, sugar-sweetened beverages, and eggs. This pattern predicted higher circulating n-3 (ω-3) PUFAs (18:3n-3, 20:3n-3, 20:5n-3), odd-chain fatty acids (15:0, 17:0), 18:2n-6 and 20:1, and lower 20:4n-6 and 16:1. During a mean follow-up of 11 y and 19 y, 5207 T2D and 3016 CAD mortality events, respectively, were identified. Higher dietary pattern scores were associated with a lower risk of T2D [multivariable-adjusted HR comparing extreme quintiles, 0.86 (95% CI: 0.79, 0.95); P-trend <0.001] and CAD mortality [HR, 0.76 (95% CI: 0.68, 0.86); P-trend <0.001]. CONCLUSIONS Dietary patterns reflecting higher circulating n-3 PUFAs, odd-chain fatty acids, and linoleic acid may be associated with lower T2D and CAD risk in Chinese adults. This trial was registered at www.clinicaltrials.gov as NCT03356340.
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Affiliation(s)
- Jowy Y H Seah
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- NUS Graduate School for Integrative Sciences and Engineering, NUS, Singapore
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- NUS Environmental Research Institute, National University of Singapore, Singapore
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - 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
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore
- NUS Graduate School for Integrative Sciences and Engineering, NUS, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, NUS and National University Health System, Singapore
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
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17
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Reproductive factors and risk of total knee replacement due to severe knee osteoarthritis in women, the Singapore Chinese Health Study. Osteoarthritis Cartilage 2019; 27:1129-1137. [PMID: 30902701 PMCID: PMC6646081 DOI: 10.1016/j.joca.2019.03.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 03/02/2019] [Accepted: 03/08/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Knee osteoarthritis (OA) is more common in women, and may be related to reproductive or hormonal factors. We evaluated these factors with the risk of total knee replacement (TKR) for severe knee OA among women. METHODS The Singapore Chinese Health Study recruited 63,257 Chinese aged 45-74 years from 1993 to 1998, and among them, 35,298 were women. Information on height, weight, lifestyle factors, number of biological children, ages at menarche and menopause, and use of hormonal therapies was collected through interviews. Incident cases of TKR were identified via linkage with nationwide database. RESULTS There were 1,645 women with TKR after mean follow-up of 14.8 years. Higher parity was associated with increased TKR risk in a stepwise manner (P for trend <0.001). Compared to nulliparous women, those with ≥5 children had the highest risk [hazard ratio (HR) 2.01, 95% confidence intervals (CIs) 1.50-2.70]. The effect of parity on TKR risk was significantly stronger among lean women compared to heavier women; HRs (95% CIs) for highest parity was 4.86 (2.22-10.63) for women with body mass index (BMI) <23 kg/m2 and 1.57 (1.14-2.14) for those ≥23 kg/m2 (P for interaction = 0.001). Earlier age at menarche and use of oral contraceptives were significantly associated with TKR in a stepwise manner (P for trend ≤0.002). Age at menopause and use of hormonal therapy were not associated with TKR risk. CONCLUSION Higher parity, earlier age of menarche and use of oral contraceptives were associated with increased risk of TKR for severe knee OA among women.
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Gao J, Lin X, He Y, Fu Y, Wu Y, Liao J, Wu Y, Lian X. The Comparison of Different Obesity Indexes and the Risk of Lung Cancer: A Meta-Analysis of Prospective Cohort Studies. Nutr Cancer 2019; 71:908-921. [DOI: 10.1080/01635581.2019.1595037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Jing Gao
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Xiaojing Lin
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Yunyun He
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Youyun Fu
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Youqile Wu
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Jie Liao
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Yang Wu
- Chongqing key Laboratory of Oral Diseases and Biomedical Sciences College of Stomatology, Chongqing Medical University, Chongqing, P.R. China
| | - Xuemei Lian
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
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Seah JYH, Koh WP, Yuan JM, van Dam RM. Rice intake and risk of type 2 diabetes: the Singapore Chinese Health Study. Eur J Nutr 2018; 58:3349-3360. [DOI: 10.1007/s00394-018-1879-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 12/06/2018] [Indexed: 12/31/2022]
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Duration of physical activity, sitting, sleep and the risk of total knee replacement among Chinese in Singapore, the Singapore Chinese Health Study. PLoS One 2018; 13:e0202554. [PMID: 30180156 PMCID: PMC6122790 DOI: 10.1371/journal.pone.0202554] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 08/06/2018] [Indexed: 01/31/2023] Open
Abstract
Objectives While the effect of physical activity on knee osteoarthritis (KOA) remains controversial, how sitting and sleep durations affect KOA is unknown. We evaluated the association between durations of physical activity, sitting and sleep, and incidence of total knee replacement (TKR) due to severe KOA. Methods We used data from the Singapore Chinese Health Study, a prospective cohort of 63,257 Chinese, aged 45–74 years at recruitment from 1993–1998. Height, weight, lifestyle factors, hours of sitting and sleep per day, and hours of moderate activity, strenuous sports or vigorous work per week were assessed through in-person interviews using structured questionnaires. Incident cases of TKR were identified via record linkage with nationwide hospital discharge database. Results Compared to those with <0.5 hour/week of moderate physical activity, participants with ≥5 hour/week had increased risk of TKR risk [hazard ratio (HR) 1.16, 95% confidence interval (CI) 1.00–1.35]. Conversely, duration of sitting activities, especially sitting at work, was associated with reduced risk in a stepwise manner. Compared to <4 hour/day of sitting, those with ≥12 hour/day had the lowest risk (HR 0.76, 95% CI 0.60–0.96, p for trend = 0.02). Sleep duration was inversely associated with reduced risk of TKR in a dose-dependent manner; compared to those with sleep ≤ 5 hour/day, participants with ≥ 9 hour/day had the lowest risk (HR 0.55, 95% CI) 0.43–0.70, p for trend <0.001). Conclusion While prolonged sitting or sleeping duration could be associated with reduced risk of severe KOA, extended duration of physical activity could be associated with increased risk.
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Yarmolinsky J, Wade KH, Richmond RC, Langdon RJ, Bull CJ, Tilling KM, Relton CL, Lewis SJ, Davey Smith G, Martin RM. Causal Inference in Cancer Epidemiology: What Is the Role of Mendelian Randomization? Cancer Epidemiol Biomarkers Prev 2018; 27:995-1010. [PMID: 29941659 PMCID: PMC6522350 DOI: 10.1158/1055-9965.epi-17-1177] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/15/2018] [Accepted: 06/05/2018] [Indexed: 02/07/2023] Open
Abstract
Observational epidemiologic studies are prone to confounding, measurement error, and reverse causation, undermining robust causal inference. Mendelian randomization (MR) uses genetic variants to proxy modifiable exposures to generate more reliable estimates of the causal effects of these exposures on diseases and their outcomes. MR has seen widespread adoption within cardio-metabolic epidemiology, but also holds much promise for identifying possible interventions for cancer prevention and treatment. However, some methodologic challenges in the implementation of MR are particularly pertinent when applying this method to cancer etiology and prognosis, including reverse causation arising from disease latency and selection bias in studies of cancer progression. These issues must be carefully considered to ensure appropriate design, analysis, and interpretation of such studies. In this review, we provide an overview of the key principles and assumptions of MR, focusing on applications of this method to the study of cancer etiology and prognosis. We summarize recent studies in the cancer literature that have adopted a MR framework to highlight strengths of this approach compared with conventional epidemiological studies. Finally, limitations of MR and recent methodologic developments to address them are discussed, along with the translational opportunities they present to inform public health and clinical interventions in cancer. Cancer Epidemiol Biomarkers Prev; 27(9); 995-1010. ©2018 AACR.
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Affiliation(s)
- James Yarmolinsky
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Ryan J Langdon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Caroline J Bull
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kate M Tilling
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Sarah J Lewis
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Yu D, Zheng W, Johansson M, Lan Q, Park Y, White E, Matthews CE, Sawada N, Gao YT, Robien K, Sinha R, Langhammer A, Kaaks R, Giovannucci EL, Liao LM, Xiang YB, Lazovich D, Peters U, Zhang X, Bueno-de-Mesquita B, Willett WC, Tsugane S, Takata Y, Smith-Warner SA, Blot W, Shu XO. Overall and Central Obesity and Risk of Lung Cancer: A Pooled Analysis. J Natl Cancer Inst 2018; 110:831-842. [PMID: 29518203 PMCID: PMC6093439 DOI: 10.1093/jnci/djx286] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 10/25/2017] [Accepted: 12/13/2017] [Indexed: 12/16/2022] Open
Abstract
Background The obesity-lung cancer association remains controversial. Concerns over confounding by smoking and reverse causation persist. The influence of obesity type and effect modifications by race/ethnicity and tumor histology are largely unexplored. Methods We examined associations of body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) with lung cancer risk among 1.6 million Americans, Europeans, and Asians. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for potential confounders. Analyses for WC/WHR were further adjusted for BMI. The joint effect of BMI and WC/WHR was also evaluated. Results During an average 12-year follow-up, 23 732 incident lung cancer cases were identified. While BMI was generally associated with a decreased risk, WC and WHR were associated with increased risk after controlling for BMI. These associations were seen 10 years before diagnosis in smokers and never smokers, were strongest among blacks, and varied by histological type. After excluding the first five years of follow-up, hazard ratios per 5 kg/m2 increase in BMI were 0.95 (95% CI = 0.90 to 1.00), 0.92 (95% CI = 0.89 to 0.95), and 0.89 (95% CI = 0.86 to 0.91) in never, former, and current smokers, and 0.86 (95% CI = 0.84 to 0.89), 0.94 (95% CI = 0.90 to 0.99), and 1.09 (95% CI = 1.03 to 1.15) for adenocarcinoma, squamous cell, and small cell carcinoma, respectively. Hazard ratios per 10 cm increase in WC were 1.09 (95% CI = 1.00 to 1.18), 1.12 (95% CI = 1.07 to 1.17), and 1.11 (95% CI = 1.07 to 1.16) in never, former, and current smokers, and 1.06 (95% CI = 1.01 to 1.12), 1.20 (95% CI = 1.12 to 1.29), and 1.13 (95% CI = 1.04 to 1.23) for adenocarcinoma, squamous cell, and small cell carcinoma, respectively. Participants with BMIs of less than 25 kg/m2 but high WC had a 40% higher risk (HR = 1.40, 95% CI = 1.26 to 1.56) than those with BMIs of 25 kg/m2 or greater but normal/moderate WC. Conclusions The inverse BMI-lung cancer association is not entirely due to smoking and reverse causation. Central obesity, particularly concurrent with low BMI, may help identify high-risk populations for lung cancer.
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Affiliation(s)
- Danxia Yu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Wei Zheng
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Mattias Johansson
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Yikyung Park
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Emily White
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Arnulf Langhammer
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research, Heidelberg, Germany
| | - Edward L Giovannucci
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - DeAnn Lazovich
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Ulrike Peters
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Social and Preventive Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Walter C Willett
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Yumie Takata
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR
| | - Stephanie A Smith-Warner
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - William Blot
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
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Açıkgöz A, Çımrın D, Ergör G. Meme, prostat, kolorektal ve akciğer kanserlerinde çevresel risk faktörleri ve risk düzeylerinin belirlenmesi: olgu-kontrol çalışması. CUKUROVA MEDICAL JOURNAL 2018. [DOI: 10.17826/cumj.345233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Fang X, Wei J, He X, Lian J, Han D, An P, Zhou T, Liu S, Wang F, Min J. Q
uantitative association between body mass index and the risk of cancer:
A
global Meta‐analysis of prospective cohort studies. Int J Cancer 2018; 143:1595-1603. [PMID: 29696630 DOI: 10.1002/ijc.31553] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 04/10/2018] [Accepted: 04/16/2018] [Indexed: 12/18/2022]
Affiliation(s)
- Xuexian Fang
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
| | - Jiayu Wei
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
| | - Xuyan He
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
| | - Jia Lian
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
| | - Dan Han
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
| | - Peng An
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
- Department of Nutrition, Precision Nutrition Innovation Center, School of Public HealthZhengzhou UniversityZhengzhou China
| | - Tianhua Zhou
- Department of Cell Biology and Program in Molecular Cell BiologySchool of Medicine, Zhejiang UniversityHangzhou China
| | - Simin Liu
- Departments of Epidemiology and MedicineBrown UniversityProvidence Rhode Island United States of America
| | - Fudi Wang
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
- Department of Nutrition, Precision Nutrition Innovation Center, School of Public HealthZhengzhou UniversityZhengzhou China
| | - Junxia Min
- The First Affiliated Hospital, Institute of Translational Medicine, Institute of Nutrition and Food Safety, School of Public Health, School of Medicine, Zhejiang UniversityHangzhou China
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Sanikini H, Yuan JM, Butler LM, Koh WP, Gao YT, Steffen A, Johansson M, Vineis P, Goodman GE, Barnett MJ, Hung RJ, Chen C, Stücker I. Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies. BMC Cancer 2018; 18:220. [PMID: 29471809 PMCID: PMC5824613 DOI: 10.1186/s12885-018-4124-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 02/12/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Obesity has been proposed as a potential protective factor against lung cancer. We examined the association between BMI and lung cancer risk in a pooled analysis based on nested case-control studies from four cohort studies. METHODS A case-control study was nested within four cohorts in USA, Europe, China and Singapore that included 4172 cases and 8471 control subjects. BMI at baseline was calculated as weight in kilograms divided by height in meters squared (kg/m2), and classified into 4 categories: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30) and obese (≥30). Odds ratios (ORs) and 95% confidence intervals (CIs) for BMI-lung cancer associations were estimated using unconditional logistic regression, adjusting for potential confounders. RESULTS Considering all participants, and using normal weight as the reference group, a decreased risk of lung cancer was observed for those who were overweight (OR 0.77, 95% CI: 0.68-0.86) and obese (OR 0.69, 95% CI: 0.59-0.82). In the stratified analysis by smoking status, the decreased risk for lung cancer was observed among current, former and never smokers (P for interaction 0.002). The adjusted ORs for overweight and obese groups were 0.79 (95% CI: 0.68-0.92) and 0.75 (95% CI: 0.60-0.93) for current smokers, 0.70 (95% CI: 0.53-0.93) and 0.55 (95% CI: 0.37-0.80) for former smokers, 0.77 (95% CI: 0.59-0.99), and 0.71 (95% CI: 0.44-1.14) for never smokers, respectively. While no statistically significant association was observed for underweight subjects who were current smokers (OR 1.24, 95% CI: 0.98-1.58), former smokers (OR 0.27, 95% CI: 0.12-0.61) and never smokers (OR 0.83, 95% CI: 0.5.-1.28). CONCLUSION The results of this study provide additional evidence that obesity is associated with a decreased risk of lung cancer. Further biological studies are needed to address this association.
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Affiliation(s)
- Harinakshi Sanikini
- Cancer and Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, Université Paris Saclay, Université Paris-Sud, Villejuif, France
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA USA
| | - Lesley M. Butler
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA USA
| | - Woon-Puay Koh
- 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
- Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Annika Steffen
- German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | | | - Paolo Vineis
- Department of Epidemiology and Biostatistics, the School of Public Health, Imperial College London, London, UK
| | - Gary E. Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Matt J. Barnett
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - Chu Chen
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Isabelle Stücker
- Cancer and Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, Université Paris Saclay, Université Paris-Sud, Villejuif, France
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Dairy intake and risk of type 2 diabetes. Clin Nutr 2017; 37:712-718. [PMID: 28318689 DOI: 10.1016/j.clnu.2017.02.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 02/28/2017] [Accepted: 02/28/2017] [Indexed: 12/21/2022]
Abstract
BACKGROUND & AIMS The effect of total dairy products, milk, and calcium intake on risk of type 2 diabetes (T2D) is uncertain, particularly in the Chinese population. METHODS The present study was based on a prospective cohort of 63,257 Chinese men and women aged 45-74 years during enrollment (1993-1998) in Singapore. Dietary information was obtained using a validated 165-item semi-quantitative food-frequency questionnaire. Information about newly diagnosed T2D was collected by self-report during two follow-up interviews in 1999-2004 and 2006-2010. Cox proportional hazard regression method was used to estimate hazard ratios (HRs) and their 95% confidence intervals (CIs) in 45,411 eligible participants. RESULTS Incidence rate (95% CI) of T2D was 10.5 (10.2-10.8) per 1000 person-years. Intake of dairy food was significantly associated with reduced T2D risk; compared with the lowest quartile, HRs (95% CI) for the second, third and fourth quartiles of dairy intake were 0.98 (0.91-1.06), 0.96 (0.89-1.03) and 0.90 (0.83-0.98), respectively, after adjustment for potential confounders at baseline (P-trend = 0.01). Daily drinkers of milk had a significant 12% reduction in T2D risk compared with non-drinkers. While dairy calcium was associated with a decreased risk of T2D (HR comparing extreme quartiles 0.84; 95% CI 0.76-0.93; P-trend = 0.001), no association was found for non-dairy calcium (HR 1.02; 95% CI 0.92-1.14; P-trend = 0.61). CONCLUSIONS In this large cohort study of Chinese adults, dairy product intake and daily milk consumption was associated with a statistically significant, although modest, decrease in risk of developing T2D, which may be independent of its calcium content.
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Goh GBB, Pan A, Chow WC, Yuan JM, Koh WP. Association between diabetes mellitus and cirrhosis mortality: the Singapore Chinese Health Study. Liver Int 2017; 37:251-258. [PMID: 27566448 PMCID: PMC5225025 DOI: 10.1111/liv.13241] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 08/19/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND & AIM Diabetes mellitus has been linked to cirrhosis-related mortality in Western populations, but less is known about this relationship in Asian populations. We studied the impact of diabetes on the risk of cirrhosis mortality in a population-based cohort among Chinese in Singapore. METHODS We used data collected and analysed from the Singapore Chinese Health Study, a prospective community-based cohort of 63 275 subjects aged 45-74 years during enrolment between 1993 and 1998. Information on diet, lifestyle and medical history was collected via structured questionnaire. Mortality cases from cirrhosis in the cohort were identified via linkage with nationwide death registry up to 31 December 2014. Cox proportional regression models were used to estimate the associations with adjustment for risk factors of cirrhosis. RESULTS After a mean follow-up of 16.9 years, there were 133 deaths from cirrhosis. Diabetes was associated with an increased risk of cirrhosis mortality (hazard ratio [HR]: 2.80; 95% confidence interval [CI]: 2.04-3.83), and for both viral (HR: 2.20; 95% CI: 1.18-4.11) and non-viral hepatitis-related cirrhosis mortality (HR: 3.06; 95% CI: 2.13-4.41). The association between diabetes and non-viral hepatitis-related cirrhosis mortality was stronger among participants of body mass index (BMI) less than 23 kg/m2 (HR: 7.11; 95% CI: 3.42-14.79) compared to heavier individuals (HR: 2.28; 95% CI: 1.20-4.35) (Pinteraction =0.02). CONCLUSION Diabetes is a risk factor for cirrhosis mortality, especially for non-viral hepatitis-related cirrhosis in population with BMI considered low or normal in Asia.
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Affiliation(s)
- George Boon-Bee Goh
- Department of Gastroenterology & Hepatology, Singapore General Hospital, Singapore, Duke-NUS Medical School, Singapore
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wan-Cheng Chow
- Department of Gastroenterology & Hepatology, Singapore General Hospital, Singapore, Duke-NUS Medical School, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Science, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA, Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Woon-Puay Koh
- Duke-NUS Medical School, Singapore, Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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Consumption of Red Meat, but Not Cooking Oils High in Polyunsaturated Fat, Is Associated with Higher Arachidonic Acid Status in Singapore Chinese Adults. Nutrients 2017; 9:nu9020101. [PMID: 28146136 PMCID: PMC5331532 DOI: 10.3390/nu9020101] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 01/26/2017] [Indexed: 12/26/2022] Open
Abstract
High arachidonic acid (AA; 20:4n-6) status may have adverse effects on inflammation and risk of cardiovascular diseases. Concerns about high intake of n-6 polyunsaturated fatty acids (PUFAs) are based on the premise that endogenous conversion from linoleic acid (LA; 18:2n-6) is an important source of AA, but few population-based studies have investigated dietary determinants of AA status. In this study, we examined habitual food consumption in relation to plasma concentrations of AA and other PUFAs in population-based studies. We used cross-sectional data from 269 healthy, ethnic Chinese participants (25–80 years old) with contrasting intakes of fish and red meat from the Singapore Prospective Study Program and 769 healthy participants (44–74 years old) from the Singapore Chinese Health Study as a validation set. Multivariable linear regression was used to examine PUFA intake (% energy) and food sources of PUFA (fish, red meat, poultry, soy and cooking oils) in relation to plasma PUFAs (AA, LA, dihomo-gamma-linolenic acid (DGLA; 20:3n-6), alpha-linolenic acid (ALA; 18:3n-3), eicosapentaenoic acid (EPA; 20:5n-3), and docosahexaenoic acid (DHA; 22:6n-3)) concentrations. Higher intake of red meat was associated with higher plasma AA concentrations. High intake of PUFA or PUFA-rich oils was associated with higher plasma ALA but not with plasma AA. Higher intakes of soy were associated with higher ALA and fish with higher DHA and EPA concentrations. These associations were statistically significant (p < 0.05) in both studies. Red meat consumption, but not PUFA or PUFA-rich cooking oil, was associated with circulating AA suggesting that intake of pre-formed AA rather than LA is an important determinant of AA status. A diet high in fish, soy products and polyunsaturated cooking oil, and low in red meat may be associated with an optimal plasma profile of PUFA in this Chinese population.
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Leung YY, Allen JC, Ang LW, Yuan JM, Koh WP. Diabetes mellitus and the risk of total knee replacement among Chinese in Singapore, the Singapore Chinese Health Study. Sci Rep 2017; 7:40671. [PMID: 28084472 PMCID: PMC5233971 DOI: 10.1038/srep40671] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 12/09/2016] [Indexed: 01/15/2023] Open
Abstract
Association between diabetes mellitus (diabetes) and risk of knee osteoarthritis (KOA) is confounded by high body mass index (BMI), a strong risk factor for both conditions. We evaluated the association between diabetes and incidence of total knee replacement (TKR) due to severe KOA in the Singapore Chinese Health Study, a prospective cohort of 63,257 Chinese men and women, aged 45-74 years at recruitment in 1993-1998, and re-interviewed in 1999-2004. Height, weight, lifestyle factors and history of diabetes were obtained through in-person interviews at recruitment and re-interview. Incident cases of TKR were identified via record linkage with nationwide hospital discharge database. Subjects with/without prevalent diabetes had comparable BMI (24.0 kg/m2 versus 23.0 kg/m2). After an average of 14-years, 1,973 subjects had TKR attributable to KOA. Compared to subjects without diabetes, hazard ratio (HR) of TKR for subjects with diabetes was 0.63 [95% confidence interval (CI), 0.52-0.75] after controlling for BMI and other risk factors. An inverse association was also observed between incident diabetes at re-interview and subsequent risk of TKR (HR = 0.74; 95% CI = 0.58-0.94). The inverse diabetes-TKR risk association was similar by gender and across three categories of BMI. Our study does not support diabetes as a risk factor of KOA.
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Affiliation(s)
- Ying-Ying Leung
- Duke-NUS Medical School, Singapore.,Department of Rheumatology and Immunology, Singapore General Hospital, Singapore
| | | | - Li-Wei Ang
- Epidemiology &Disease Control Division, Ministry of Health, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA.,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Woon-Puay Koh
- Duke-NUS Medical School, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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Xie HJ, Zhang X, Wei ZQ, Long H, Rong TH, Su XD. Effect of body mass index on survival of patients with stage I non-small cell lung cancer. CHINESE JOURNAL OF CANCER 2017; 36:7. [PMID: 28069048 PMCID: PMC5223575 DOI: 10.1186/s40880-016-0170-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2015] [Accepted: 03/07/2016] [Indexed: 01/09/2023]
Abstract
Background Body mass index (BMI) has a U-shaped association with lung cancer risk. However, the effect of BMI on prognosis is controversial. This retrospective study aimed to investigate the effect of BMI on the survival of patients with stage I non-small cell lung cancer (NSCLC) after surgical resection. Methods In total, 624 consecutive stage I NSCLC patients who underwent radical resection were classified into four groups according to their BMI: underweight (BMI < 18.5 kg/m2), normal weight (BMI = 18.5–22.4 kg/m2), overweight (BMI = 22.5–28.0 kg/m2), and obese (BMI > 28.0 kg/m2). The effect of BMI on progression-free survival (PFS) and overall survival (OS) was estimated using the Kaplan–Meier method and Cox proportional hazards model. Postoperative complications in each group were analyzed using the Chi square test or Fisher’s exact test. Results A univariate analysis showed that PFS and OS were longer in the overweight group than in other groups (both P < 0.05). A multivariate analysis showed that OS was longer in the overweight group than in other groups (compared with the other three groups in combination: hazard ratio [HR] = 1.87, 95% confidence interval [CI] 1.30–2.68, P = 0.003; compared with the underweight group: HR = 2.24, 95% CI 1.18–4.25, P = 0.013; compared with the normal weight group: HR = 1.58, 95% CI 1.07–2.33, P = 0.022; compared with the obese group: HR = 2.87, 95% CI 1.48–5.59, P = 0.002), but PFS was similar among the groups (HR = 1.28, 95% CI 0.97–1.68, P = 0.080). A subgroup analysis showed an association between being overweight and prolonged OS in patients at stage T1a (P = 0.024), T1b (P = 0.051), and T2a (P = 0.02), as well as in patients with a non-smoking history (P = 0.001). Overweight patients had lower rates of postoperative complications, such as respiratory failure (compared with the underweight and obese groups: P = 0.014), myocardial infarction (compared with the obese group: P = 0.033), and perioperative death (compared with the other three groups: P = 0.016). Conclusions Preoperative BMI is an independent prognostic factor for stage I NSCLC patients after resection, with overweight patients having a favorable prognosis.
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Affiliation(s)
- Hao-Jun Xie
- Department of Thoracic Surgery, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Rd. East, Guangzhou, 510060, Guangdong, P. R. China.,Lung Cancer Institute, Sun Yat-Sen University, Guangzhou, 510060, Guangdong, P. R. China
| | - Xu Zhang
- Department of Thoracic Surgery, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Rd. East, Guangzhou, 510060, Guangdong, P. R. China.,Lung Cancer Institute, Sun Yat-Sen University, Guangzhou, 510060, Guangdong, P. R. China
| | - Zhen-Qiang Wei
- Department of Thoracic Surgery, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Rd. East, Guangzhou, 510060, Guangdong, P. R. China.,Lung Cancer Institute, Sun Yat-Sen University, Guangzhou, 510060, Guangdong, P. R. China
| | - Hao Long
- Department of Thoracic Surgery, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Rd. East, Guangzhou, 510060, Guangdong, P. R. China.,Lung Cancer Institute, Sun Yat-Sen University, Guangzhou, 510060, Guangdong, P. R. China
| | - Tie-Hua Rong
- Department of Thoracic Surgery, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Rd. East, Guangzhou, 510060, Guangdong, P. R. China.,Lung Cancer Institute, Sun Yat-Sen University, Guangzhou, 510060, Guangdong, P. R. China
| | - Xiao-Dong Su
- Department of Thoracic Surgery, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Rd. East, Guangzhou, 510060, Guangdong, P. R. China. .,Lung Cancer Institute, Sun Yat-Sen University, Guangzhou, 510060, Guangdong, P. R. China.
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Malhotra J, Waterboer T, Pawlita M, Michel A, Cai Q, Zheng W, Gao YT, Lan Q, Rothman N, Langseth H, Grimsrud TK, Yuan JM, Koh WP, Wang R, Arslan AA, Zeleniuch-Jacquotte A, Boffetta P. Serum biomarkers of polyomavirus infection and risk of lung cancer in never smokers. Br J Cancer 2016; 115:1131-1139. [PMID: 27632373 PMCID: PMC5117783 DOI: 10.1038/bjc.2016.285] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 07/22/2016] [Accepted: 08/09/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Lung cancer in never smokers is a significant contributor of cancer mortality worldwide. In this analysis, we explored the role of nine human polyomaviruses, including JC virus (JCV), BK virus (BKV) and Merkel cell virus (MCV), in lung cancer development in never smokers as there are data to support that polyomaviruses are potentially carcinogenic in the human lung. METHODS We used multiplex serology to detect serum antibodies to polyomaviruses in a nested case-control design combining lung cancer cases and controls from four cohort studies - NYU Women's Health Study (NYU-WHS), Janus Serum Bank, Shanghai Women's Health Study and Singapore Chinese Health Study (SCHS). RESULTS The final analyses included 511 cases and 508 controls. Seroprevalence for each polyomavirus showed significant heterogeneity by study, but overall there were no statistically significant differences between cases and controls. In total, 69.1% of the cases and 68.7% of the controls were seropositive for JCV VP1 antibody. Seropositivity for BKV was higher at 89.0% in cases and 89.8% in controls and lower for MCV at 59.3% in cases and 61.6% in controls. Similar results were obtained after adding an additional retrospective case-control study (Xuanwei study) to the analysis. CONCLUSIONS Our results do not support the hypothesis that seropositivity for polyomaviruses is associated with increased lung cancer risk in never smokers. Future research to evaluate relationship between polyomavirus infection and lung carcinogenesis should focus more on evaluating the presence of virus or viral nucleic acids (DNA or RNA) in lung tumour samples.
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Affiliation(s)
- Jyoti Malhotra
- Icahn School of Medicine at Mount Sinai, 17 East 102 St, Floor 4 West, Room 110, New York, NY, USA
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Tim Waterboer
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Qiuyin Cai
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Wei Zheng
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - Qing Lan
- National Cancer Institute, Rockville, MD, USA
| | | | - Hilde Langseth
- Cancer Registry of Norway, Institute of Population-based Cancer Research, Oslo, Norway
| | - Tom K Grimsrud
- Cancer Registry of Norway, Institute of Population-based Cancer Research, Oslo, Norway
| | - Jian-Min Yuan
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School Singapore, and Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Renwei Wang
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Alan A Arslan
- New York University School of Medicine, New York, NY, USA
| | | | - Paolo Boffetta
- Icahn School of Medicine at Mount Sinai, 17 East 102 St, Floor 4 West, Room 110, New York, NY, USA
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Teng GG, Pan A, Yuan JM, Koh WP. Cigarette Smoking and the Risk of Incident Gout in a Prospective Cohort Study. Arthritis Care Res (Hoboken) 2016; 68:1135-42. [PMID: 26714165 PMCID: PMC5515666 DOI: 10.1002/acr.22821] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Revised: 12/03/2015] [Accepted: 12/15/2015] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Cigarette smoking is shown to reduce serum urate. However, its impact on risk of gout is unknown. We prospectively examined the relationship between cigarette smoking and gout risk in this Asian cohort. METHODS We analyzed the data from the Singapore Chinese Health Study, a cohort of 63,257 Chinese ages 45-74 years at recruitment in 1993-1998. Information on cigarette smoking and other lifestyle factors was collected through in-person interviews at recruitment. This analysis included 53,213 participants who took part in either the first followup (1999-2004) and/or the second followup interviews (2006-2010). Cox proportional hazards models were used to assess the relationship between cigarette smoking and gout risk. RESULTS A total of 2,244 incident cases of physician-diagnosed gout were identified after a mean followup of 11.1 years. Among men, compared to never smokers, the risk of gout in current smokers was decreased by 27% (hazard ratio [HR] 0.73 [95% confidence interval (95% CI) 0.63-0.84]). This risk reduction was greater in lean male smokers (HR 0.69 [95% CI 0.57-0.83]) than overweight smokers (HR 0.87 [95% CI 0.67-1.13]) (P = 0.09 for interaction). This inverse association with smoking was rapidly attenuated to become null even in former smokers who had recently quit smoking. Conversely, there was no association between smoking and gout risk in women. In a companion cross-sectional study, current smokers had significantly lower levels of serum urate than former and never smokers, and this observation was present in men and not women. CONCLUSION Current smoking is associated with lower risk of gout in men in this Asian cohort.
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Affiliation(s)
- Gim Gee Teng
- University Medicine Cluster, Division of Rheumatology, National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - An Pan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jian-Min Yuan
- University of Pittsburgh Cancer Institute, Division of Cancer Control and Population Sciences, Pittsburgh, Pennsylvania
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, Pittsburgh, Pennsylvania
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Duke-NUS Graduate Medical School Singapore, Singapore
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Dewi NU, Boshuizen HC, Johansson M, Vineis P, Kampman E, Steffen A, Tjønneland A, Halkjær J, Overvad K, Severi G, Fagherazzi G, Boutron-Ruault MC, Kaaks R, Li K, Boeing H, Trichopoulou A, Bamia C, Klinaki E, Tumino R, Palli D, Mattiello A, Tagliabue G, Peeters PH, Vermeulen R, Weiderpass E, Torhild Gram I, Huerta JM, Agudo A, Sánchez MJ, Ardanaz E, Dorronsoro M, Quirós JR, Sonestedt E, Johansson M, Grankvist K, Key T, Khaw KT, Wareham N, Cross AJ, Norat T, Riboli E, Fanidi A, Muller D, Bueno-de-Mesquita HB. Anthropometry and the Risk of Lung Cancer in EPIC. Am J Epidemiol 2016; 184:129-39. [PMID: 27370791 PMCID: PMC4945700 DOI: 10.1093/aje/kwv298] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Accepted: 10/22/2015] [Indexed: 01/10/2023] Open
Abstract
The associations of body mass index (BMI) and other anthropometric measurements with lung cancer were examined in 348,108 participants in the European Investigation Into Cancer and Nutrition (EPIC) between 1992 and 2010. The study population included 2,400 case patients with incident lung cancer, and the average length of follow-up was 11 years. Hazard ratios were calculated using Cox proportional hazard models in which we modeled smoking variables with cubic splines. Overall, there was a significant inverse association between BMI (weight (kg)/height (m)(2)) and the risk of lung cancer after adjustment for smoking and other confounders (for BMI of 30.0-34.9 versus 18.5-25.0, hazard ratio = 0.72, 95% confidence interval: 0.62, 0.84). The strength of the association declined with increasing follow-up time. Conversely, after adjustment for BMI, waist circumference and waist-to-height ratio were significantly positively associated with lung cancer risk (for the highest category of waist circumference vs. the lowest, hazard ratio = 1.25, 95% confidence interval: 1.05, 1.50). Given the decline of the inverse association between BMI and lung cancer over time, the association is likely at least partly due to weight loss resulting from preclinical lung cancer that was present at baseline. Residual confounding by smoking could also have influenced our findings.
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Affiliation(s)
| | - Hendriek C. Boshuizen
- Correspondence to Dr. Hendriek C. Boshuizen, Department of Statistics, Informatics and Mathematical Modelling (SIM), National Institute of Public Health and the Environment, P.O. Box 1, 3720 BA Bilthoven, the Netherlands (e-mail:)
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SmokeHaz: Systematic Reviews and Meta-analyses of the Effects of Smoking on Respiratory Health. Chest 2016; 150:164-79. [PMID: 27102185 DOI: 10.1016/j.chest.2016.03.060] [Citation(s) in RCA: 144] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Revised: 03/11/2016] [Accepted: 03/30/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Smoking tobacco increases the risk of respiratory disease in adults and children, but communicating the magnitude of these effects in a scientific manner that is accessible and usable by the public and policymakers presents a challenge. We have therefore summarized scientific data on the impact of smoking on respiratory diseases to provide the content for a unique resource, SmokeHaz. METHODS We conducted systematic reviews and meta-analyses of longitudinal studies (published to 2013) identified from electronic databases, gray literature, and experts. Random effect meta-analyses were used to pool the findings. RESULTS We included 216 articles. Among adult smokers, we confirmed substantially increased risks of lung cancer (risk ratio (RR), 10.92; 95% CI, 8.28-14.40; 34 studies), COPD (RR, 4.01; 95% CI, 3.18-5.05; 22 studies), and asthma (RR, 1.61; 95% CI, 1.07-2.42; eight studies). Exposure to passive smoke significantly increased the risk of lung cancer in adult nonsmokers and increased the risks of asthma, wheeze, lower respiratory infections, and reduced lung function in children. Smoking significantly increased the risk of sleep apnea and asthma exacerbations in adult and pregnant populations, and active and passive smoking increased the risk of tuberculosis. CONCLUSIONS These findings have been translated into easily digestible content and published on the SmokeHaz website.
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Body mass index and risk of lung cancer: Systematic review and dose-response meta-analysis. Sci Rep 2015; 5:16938. [PMID: 26582414 PMCID: PMC4652238 DOI: 10.1038/srep16938] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Accepted: 10/21/2015] [Indexed: 01/20/2023] Open
Abstract
Questions remain about the significance of the dose-response relationship between body mass index (BMI) and lung cancer (LC) risk. Pertinent studies were identified through a search in EMBASE and PUBMED from July 2014 until March 2015. The summary relative risk (SRR) and confidence interval (CI) were estimated. The dose-response relationship was assessed using a restricted cubic spline. The overall meta-analysis showed evidence of a nonlinear association between BMI and LC risk (Pnonlinearity < 0.001). The SRR were 0.98 (95%CI: 0.95-1.01) for 25 kg/m(2), 0.91 (95%CI: 0.85-0.98) for 30 kg/m(2) and 0.81 (95% CI: 0.72-0.91) for 35 kg/m(2), with mild between-study heterogeneity (I(2) = 5%). The results of the stratified analysis by gender were comparable to those of the overall meta-analysis. When stratified by smoking status, linear dose-response associations were observed for current smokers, ex-smokers and non-smokers (Pnonlinearity > 0.05), whereas the effects were attenuated when restricting analysis to non-smokers, and at the point of 30 kg/m(2), the SRR was 0.96 (95%CI: 0.86-1.07) for males and 0.95 (95%CI: 0.89-1.02) for females. This meta-analysis provides quantitative evidence that increasing BMI is a protective factor against LC. Keeping normal-to-moderate BMI should be prescribed as an evidence-based lifestyle tip for LC prevention in smokers.
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Tan HS, Tan MH, Chow KY, Chay WY, Lim WY. Reproductive factors and lung cancer risk among women in the Singapore Breast Cancer Screening Project. Lung Cancer 2015; 90:499-508. [PMID: 26476714 DOI: 10.1016/j.lungcan.2015.10.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2015] [Revised: 09/26/2015] [Accepted: 10/04/2015] [Indexed: 11/17/2022]
Abstract
OBJECTIVES A growing body of literature suggests that female hormones play a role in lung cancer risk. Our study aims to examine the relationship between reproductive factors and lung cancer incidence in a large prospectively enrolled cohort in Singapore. MATERIALS AND METHODS Multivariate Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of lung cancer for each exposure, adjusting for smoking, age at entry, ethnicity and body mass index. RESULTS Among 28,222 women aged 50-64 years enrolled in the Singapore Breast Cancer Screening Project from October 1994 to February 1997, we identified 311 incident lung cancer cases (253 in non-smokers) over an average of 15.8 years of follow-up to 31 December 2011. Higher parity was associated with decreased lung cancer risk. Compared with nulliparous women, those with 1-2, 3-4, and ≥5 deliveries had a hazard ratio (HR) of 0.56, 0.55 and 0.45, respectively (P(trend)<0.01). This association was observed in both smokers and non-smokers, and in both adenocarcinomas and non-adenocarcinomas. Reproductive period, breastfeeding, oral contraceptive and hormone replacement therapy use did not seem to influence the risk of getting lung cancer. CONCLUSION Our findings add to the existing evidence that parous women have a lower lung cancer risk than nulliparous women.
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Affiliation(s)
- Hui Shan Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Min-Han Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Institute of Bioengineering and Nanotechnology, Singapore
| | | | - Wen Yee Chay
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Wei-Yen Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
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Using the Negative Exponential Model to Describe Changes in Risk of Smoking-Related Diseases following Changes in Exposure to Tobacco. ACTA ACUST UNITED AC 2015. [DOI: 10.1155/2015/487876] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Recently published analyses for four smoking-related diseases show that the declining excess relative risk by time quit is well fitted by the negative exponential model. These analyses estimated the half-life of this excess, that is, the time after quitting when the excess relative risk reaches half that for continuing smokers. We describe extensions of the simple model. One quantifies the decline following an exposure reduction. We show that this extension satisfactorily predicts results from studies investigating the effect of reducing cigarette consumption. It may also be relevant to exposure reductions following product-switching. Another extension predicts changes in excess relative risk occurring following multiple exposure changes over time. Suitable published epidemiological data are unavailable to test this, and we recommend its validity to be investigated using large studies with data recorded on smoking habits at multiple time points in life. The basic formulae described assume that the excess relative risk for a continuing smoker is linearly related to exposure and that the half-life is invariant of age. We describe model adaptations to allow for nonlinear dose-response and for age-dependence of the half-life. The negative exponential model, though relatively simple, appears to have many potential uses in epidemiological research for summarizing variations in risk with exposure changes.
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Li X, Bai Y, Wang S, Nyamathira SM, Zhang X, Zhang W, Wang T, Deng Q, He M, Zhang X, Wu T, Guo H. Association of body mass index with chromosome damage levels and lung cancer risk among males. Sci Rep 2015; 5:9458. [PMID: 25820198 PMCID: PMC4377580 DOI: 10.1038/srep09458] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 03/04/2015] [Indexed: 01/10/2023] Open
Abstract
Epidemiological studies have shown an etiological link between body mass index (BMI) and cancer risk, but evidence supporting these observations is limited. This study aimed to investigate potential associations of BMI with chromosome damage levels and lung cancer risk. First, we recruited 1333 male workers from a coke-oven plant to examine their chromosome damage levels; and then, a cohort study of 12 052 males was used to investigate the association of BMI with lung cancer incidence. We further carried out a meta-analysis for BMI and male lung cancer risk based on cohort studies. We found that men workers with excess body weight (BMI ≥ 25 kg/m2) had lower levels of MN frequencies than men with normal-weight (BMI: 18.5–24.9). Our cohort study indicated that, the relative risk (RR) for men with BMI ≥ 25 to develop lung cancer was 35% lower than RR for normal-weight men. Further meta-analysis showed that, compared to normal-weight men, men with BMI ≥ 25 had decreased risk of lung cancer among both the East-Asians and others populations. These results indicate that men with excess body weight had significant decreased chromosome damage levels and lower risk of lung cancer than those with normal-weight. However, further biological researches were needed to validate these associations.
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Affiliation(s)
- Xiaoliang Li
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yansen Bai
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Suhan Wang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Samuel Mwangi Nyamathira
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiao Zhang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wangzhen Zhang
- Department of Occupational Disease, Institute of Industrial Health, Wuhan Iron &Steel (group) Corporation, Wuhan 430070, China
| | - Tian Wang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qifei Deng
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Meian He
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huan Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Leung YY, Ang LW, Thumboo J, Wang R, Yuan JM, Koh WP. Cigarette smoking and risk of total knee replacement for severe osteoarthritis among Chinese in Singapore--the Singapore Chinese health study. Osteoarthritis Cartilage 2014; 22:764-70. [PMID: 24680935 PMCID: PMC4051850 DOI: 10.1016/j.joca.2014.03.013] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Revised: 02/26/2014] [Accepted: 03/19/2014] [Indexed: 02/02/2023]
Abstract
PURPOSE Data on the effects of cigarette smoking with osteoarthritis (OA) are inconsistent and no study has examined the effect of smoking cessation. We examined smoking status, duration, dosage and cessation in association with risk of total knee replacement (TKR) for severe knee OA among elderly Chinese in Singapore. METHODS We used data from the Singapore Chinese Health Study, a population-based prospective cohort of 63,257 Chinese men and women aged 45-74 years during enrollment between 1993 and 1998. Detailed information on smoking, current diet and lifestyle factors were obtained through in person interviews. As of 31 December 2011, 1,973 incident TKR cases for severe knee OA had been identified via linkage with nationwide hospital discharge database. We used Cox regression methods to examine smoking in relation to TKR risk with adjustment for age, gender, education, body mass index (BMI), comorbidities and physical activity level. RESULTS Compared to never smokers, current smokers had a 51% decrease in risk of TKR [Hazards ratio (HR) = 0.49; 95% confidence interval (CI) = 0.40-0.60]. Among current smokers, there was a very strong dose-dependent association between increasing duration and dosage of smoking with decreasing risk of TKR (P for trend <0.0001). Among former smokers, there was a dose-dependent response between decrease in duration of smoking cessation and reduction in TKR risk (P for trend = 0.034). CONCLUSION Our findings strongly implicate smoking as a protective factor for TKR indicated for severe knee OA. This concurs with experimental data that nicotine promotes proliferation and collagen synthesis in chondrocytes.
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Affiliation(s)
- Y Y Leung
- Duke-NUS Graduate Medical School Singapore, Singapore; Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.
| | - L W Ang
- Epidemiology & Disease Control Division, Ministry of Health, Singapore
| | - J Thumboo
- Duke-NUS Graduate Medical School Singapore, Singapore; Department of Rheumatology and Immunology, Singapore General Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - R Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA
| | - J M Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - W P Koh
- Duke-NUS Graduate Medical School Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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Dai Z, Wang R, Ang LW, Low YL, Yuan JM, Koh WP. Protective effects of dietary carotenoids on risk of hip fracture in men: the Singapore Chinese Health Study. J Bone Miner Res 2014; 29:408-17. [PMID: 23857780 PMCID: PMC3894263 DOI: 10.1002/jbmr.2041] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2013] [Revised: 06/17/2013] [Accepted: 07/01/2013] [Indexed: 12/12/2022]
Abstract
Experimental and epidemiologic data suggest that carotenoids in vegetables and fruits may benefit bone health due to their antioxidant properties. The relationship between dietary total and specific carotenoids, as well as vegetables and fruits, and risk of hip fracture was examined among Chinese in Singapore. We used data from the Singapore Chinese Health Study, a prospective cohort of 63,257 men and women who were of ages 45 to 74 years between 1993 and 1998. At recruitment, subjects were interviewed on lifestyle factors and medical history. Usual diet was measured using a validated food frequency questionnaire. During a mean follow-up of 9.9 years, we identified 1630 hip fracture incident cases. Among men, consumption of vegetables was associated with lower hip fracture risk. Similarly, dietary total carotenoids and specific carotenoids, α-carotene, β-carotene, and lutein/zeaxanthin were inversely associated with hip fracture risk. Compared to men in the lowest quartile of nutrient density, men in the highest quartile had statistically significant 26% to 39% risk reduction (all p for trend <0.05). When stratified by body mass index (BMI), the greatest protective effects of total vegetables and carotenoids were found in men with BMI <20 kg/m(2) (p for trend ≤0.004). There was no association between dietary carotenoids or vegetables/fruits and hip fracture risk among women. This study suggests that adequate intake of vegetables may reduce risk of osteoporotic fractures among elderly men and that the antioxidant effects of carotenoids may counteract the mechanism of osteoporosis related to leanness.
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Affiliation(s)
- Zhaoli Dai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
| | - Li-Wei Ang
- Epidemiology & Disease Control Division, Ministry of Health, Singapore
| | - Yen-Ling Low
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Duke-NUS Graduate Medical School Singapore, Singapore
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Bethea TN, Rosenberg L, Charlot M, O'Connor GT, Adams-Campbell LL, Palmer JR. Obesity in relation to lung cancer incidence in African American women. Cancer Causes Control 2013; 24:1695-703. [PMID: 23744044 DOI: 10.1007/s10552-013-0245-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Accepted: 05/29/2013] [Indexed: 01/01/2023]
Abstract
PURPOSE Although a number of studies have found an inverse association between body mass index (BMI) and risk of lung cancer, there is little information on this relation in African Americans, who experience a higher incidence of lung cancer. METHODS We assessed the relation of BMI to incidence of lung cancer in the Black Women's Health Study, an ongoing prospective follow-up of 59,000 women in the USA. Cox proportional hazard models were used to estimate hazard ratios for various levels of BMI relative to BMI 18.5-24.9 kg/m2 ("normal weight") with adjustment for age, education, pack-years of smoking, and other covariates. Two other anthropometric measures, waist circumference (WC) and waist/hip ratio (WHR), were also assessed. A total of 323 primary lung cancer cases were identified from 1995 to 2011. RESULTS The hazard ratio (HR) for BMI ≥ 30 relative to BMI 18.5-24.9 was 0.69 (95% CI 0.51-0.92). As expected, cigarette smoking was strongly associated with increased risk of lung cancer. In analyses stratified by smoking status, the HR for BMI ≥ 30 relative to BMI 18.5-24.9 was 0.62 (0.38-1.00) among current smokers, 0.90 (0.56-1.42) among former smokers, and 0.83 (0.41-1.70) among never smokers (p for interaction = 0.28). Control for pack-years of smoking or age started smoking had little effect on the hazard ratios. WC and WHR were not materially associated with lung cancer risk. CONCLUSION Our results indicate that high BMI is associated with a lower risk of lung cancer in African American women, particularly among current smokers.
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Affiliation(s)
- Traci N Bethea
- Slone Epidemiology Center, Boston University, 1010 Commonwealth Avenue, Boston, MA, 02215, USA,
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Radoï L, Paget-Bailly S, Cyr D, Papadopoulos A, Guida F, Tarnaud C, Menvielle G, Schmaus A, Cénée S, Carton M, Lapôtre-Ledoux B, Delafosse P, Stücker I, Luce D. Body mass index, body mass change, and risk of oral cavity cancer: results of a large population-based case–control study, the ICARE study. Cancer Causes Control 2013; 24:1437-48. [DOI: 10.1007/s10552-013-0223-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2012] [Accepted: 05/04/2013] [Indexed: 02/04/2023]
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El-Zein M, Parent ME, Nicolau B, Koushik A, Siemiatycki J, Rousseau MC. Body mass index, lifetime smoking intensity and lung cancer risk. Int J Cancer 2013; 133:1721-31. [PMID: 23553144 DOI: 10.1002/ijc.28185] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2012] [Accepted: 03/20/2013] [Indexed: 12/16/2022]
Abstract
There is as yet no generally accepted explanation for the common finding that low body mass index (BMI) is associated with an increased risk of lung cancer. We investigated this association in a Canadian population-based case-control study (1996-2002) with a particular view to assessing the hypothesis that the observed association was due to residual confounding by smoking. Analyses were based on 1,076 cases and 1,439 controls who provided their height at enrollment and their weight at two points in time, at age 20 and 2 years before enrollment. BMI, in kg/m(2) , was classified into underweight (<18.5), normal (18.5-24.9), overweight (25.0-29.9), and obese (≥30). Smoking history was synthesized into a comprehensive smoking index (CSI) that integrated duration, intensity and time since quitting. Odds ratios (ORs) and 95% confidence intervals (CIs) for BMI-lung cancer associations were estimated, adjusting for CSI as well as several sociodemographic, lifestyle and occupational factors. The normal BMI category was used as the reference. Among those who were underweight at age 20, there was a lower risk of lung cancer (OR = 0.69, 95% CI: 0.50-0.95). Conversely, lung cancer risk was increased among those who were underweight 2 years before enrollment (OR = 2.30, 95% CI: 1.30-4.10). The results were almost identical when stratifying analyses based on smoking history into never/lighter and heavier smokers. The inverse association between recent BMI and lung cancer is unlikely to be largely attributable to residual confounding by smoking. Reverse causality or a true relationship between BMI and lung cancer remain plausible.
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Affiliation(s)
- Mariam El-Zein
- Institut Armand-Frappier, Université du Québec, Laval, Québec, Canada
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Butler LM, Montague JA, Koh WP, Wang R, Yu MC, Yuan JM. Fried meat intake is a risk factor for lung adenocarcinoma in a prospective cohort of Chinese men and women in Singapore. Carcinogenesis 2013; 34:1794-9. [PMID: 23568952 DOI: 10.1093/carcin/bgt113] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Probable human carcinogens are generated during Chinese-style high-temperature cooking of meat and have been detected in the ambient air and on the meat surface. Although the inhalation of these compounds is an established risk factor for lung cancer, exposure via fried meat consumption has not yet been prospectively evaluated as a risk factor. The relationship between fried meat intake and lung cancer risk was investigated using data from a prospective cohort study among Chinese in Singapore. Lung cancer cases (n = 1130) were identified from 61 321 men and women, 70% of whom were lifetime never smokers. Proportional hazards regression methods were used to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). Overall, there was no association between fried meat intake and risk of all lung cancers combined. For lung adenocarcinoma, fried meat intake had a statistically significant association with increased risk. The association between fried meat intake and risk of lung adenocarcinoma became stronger when analyses were restricted to lifetime never smokers. Compared with the lowest tertile of fried meat intake, the HRs (95% CIs) for the second and third tertiles were 1.43 (0.98, 2.08) and 1.51 (1.03, 2.22), respectively (P for trend = 0.04). The positive association was present among both men and women. There was no association between fried meat intake and risk of non-adenocarcinomas of the lung. Our prospective results for fried meat intake support consumption as an important route of exposure to compounds from Chinese-style high-temperature cooking for the development of lung adenocarcinoma.
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Affiliation(s)
- Lesley M Butler
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15261, USA.
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Zarogoulidis P, Kerenidi T, Huang H, Kontakiotis T, Tremma O, Porpodis K, Kalianos A, Rapti A, Foroulis C, Zissimopoulos A, Courcoutsakis N, Zarogoulidis K. Six minute walking test and carbon monoxide diffusing capacity for non-small cell lung cancer: easy performed tests in every day practice. J Thorac Dis 2013. [PMID: 23205280 DOI: 10.3978/j.issn.2072-1439.2012.08.18] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Several studies have demonstrated that reduced lung function is a significant risk factor for lung cancer and increased surgical risk in patients with operable stages of lung cancer. The aim of the study was to perform pulmonary function tests and investigate which is a favorable respiratory function test for overall survival between lung cancer stages. METHODS Lung function tests were performed to lung cancer patients with non-small cell lung cancer of stage I, II, III and IV (241 patients in total). They had the last follow-up consecutively between December 2006 and July 2008. The staging was decided according to the sixth edition of TNM classification of NSCLC. The Forced Expiratory Volume in 1sec (FEV1), Forced Vital Capacity (FVC) and Carbon Monoxide Diffusing Capacity (DLCO) were measured according to American Thoracic Society/European Respiratory Society guidelines. The 6 Minute Walking Test (6MWT) was measured according to the American Thoracic Society. RESULTS There was a significant association of the DLCO upon diagnosis and overall survival for stage II (P<0.007) and IV (P<0.003). Furthermore, there was a significant association between 6MWT and overall survival for stage III (P<0.001) and stage IV (P<0.010). CONCLUSIONS The significance for each lung function test is different among the stages of NSCLC. DLCO and 6MWT upon admission are the most valuable prognostic factors for overall survival of NSCLC.
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Affiliation(s)
- Paul Zarogoulidis
- Pulmonary Department, "G. Papanikolaou" General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Tarleton HP, Park SL, Zhu WM, Lee YCA, Hashibe M, Morgenstern H, Tashkin DP, Mao JT, Cozen W, Mack TM, Zhang ZF. Body mass index change in adulthood and lung and upper aerodigestive tract cancers. Int J Cancer 2012; 131:1407-16. [PMID: 22131048 PMCID: PMC3402653 DOI: 10.1002/ijc.27383] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2011] [Revised: 11/04/2011] [Accepted: 11/17/2011] [Indexed: 12/17/2022]
Abstract
Body mass index (BMI) has been inversely associated with lung and upper aerodigestive tract (UADT) cancers. However, only a few studies have assessed BMI change in adulthood in relation to cancer. To understand the relationship between BMI change and these cancers in both men and women, we analyzed data from a population-based case-control study conducted in Los Angeles County. Adulthood BMI change was measured as the proportional change in BMI between age 21 and 1 year before interview or diagnosis. Five categories of BMI change were included, and individuals with no more than a 5% loss or gain were defined as having a stable BMI (reference group). Adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated using logistic regression models. Potential confounders included age, gender, ethnicity, education, tobacco smoking and energy intake. For UADT cancers, we also adjusted for alcohol drinking status and frequency. A BMI gain of 25% or higher in adulthood was inversely associated with lung cancer (OR 0.53, 95% CI 0.33-0.84) and UADT cancers (OR 0.44, 95% CI 0.27-0.71). In subgroup analyses, a BMI gain of ≥25% was inversely associated with lung and UADT cancers among current and former smokers, as well as among current and former alcohol drinkers. The inverse association persisted among moderate and heavy smokers (≥20 pack-years). The observed inverse associations between adulthood BMI gain and lung and UADT cancers indicate a potential role for body weight-related biological pathways in the development of lung and UADT cancers.
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Affiliation(s)
- Heather P. Tarleton
- Department of Epidemiology, University of California, Los Angeles (UCLA) School of Public Health, Los Angeles, CA, USA
| | | | - Wei-Ming Zhu
- Department of Epidemiology, University of California, Los Angeles (UCLA) School of Public Health, Los Angeles, CA, USA
| | - Yuan-Chin Amy Lee
- Division of Public Health, Department of Family & Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Mia Hashibe
- Division of Public Health, Department of Family & Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Hal Morgenstern
- Departments of Epidemiology and Environmental Health Sciences, School of Public Health, and Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Donald P. Tashkin
- Division of Pulmonary and Critical Care Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Jenny T. Mao
- Pulmonary and Critical Care Section, New Mexico VA Healthcare System, Albuquerque, NM, USA
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine at University of Southern California, Los Angeles, CA
| | - Thomas M. Mack
- Department of Preventive Medicine, Keck School of Medicine at University of Southern California, Los Angeles, CA
| | - Zuo-Feng Zhang
- Department of Epidemiology, University of California, Los Angeles (UCLA) School of Public Health, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA USA
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Yang Y, Dong J, Sun K, Zhao L, Zhao F, Wang L, Jiao Y. Obesity and incidence of lung cancer: A meta-analysis. Int J Cancer 2012; 132:1162-9. [DOI: 10.1002/ijc.27719] [Citation(s) in RCA: 112] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Revised: 06/14/2012] [Accepted: 06/28/2012] [Indexed: 12/19/2022]
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Tarnaud C, Guida F, Papadopoulos A, Cénée S, Cyr D, Schmaus A, Radoï L, Paget-Bailly S, Menvielle G, Buemi A, Woronoff AS, Luce D, Stücker I. Body mass index and lung cancer risk: results from the ICARE study, a large, population-based case-control study. Cancer Causes Control 2012; 23:1113-26. [PMID: 22610667 DOI: 10.1007/s10552-012-9980-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2011] [Accepted: 04/23/2012] [Indexed: 12/26/2022]
Abstract
BACKGROUND The association between body mass index (BMI) and lung cancer is still disputed because of possible residual confounding by smoking and preclinical weight loss in case-control studies. We examined this association using data from the multicenter ICARE study in France, a large, population-based case-control study. METHODS A total of 2,625 incident lung cancer cases and 3,381 controls were included. Weight was collected at interview, 2 years before the interview, and at age 30. Lifetime smoking exposure was calculated using the comprehensive smoking index (CSI). Adjusted odds ratios (aORs) and 95 % confidence intervals were estimated by unconditional logistic regression and controlled for age, area, education, CSI, occupational exposure, previous chronic bronchitis, and parental history of lung cancer. We also examined the role of weight change. Analyses were stratified by smoking status and sex. RESULTS When compared with that of men with normal BMI 2 years before the interview, lung cancer aORs (95 % CI) among men with BMIs of <18.5, 25-29.9, 30-32.4, and ≥32.5 kg/m(2) were 2.7 (95 % CI 1.2-6.2), 0.9 (95 % CI 0.7-1.1), 0.8 (95 % CI 0.6-1.1), and 0.8 (95 % CI 0.6-1.0), respectively (p(trend) = 0.02). Results were more pronounced among current smokers and were similar in men and women. Weight gain over time was associated with a significant decreased risk of lung cancer. CONCLUSIONS We found an inverse dose-dependent association between lung cancer risk and BMI 2 years prior to interview in current smokers. IMPACT STATEMENT: BMI might be an individual factor impacting the risk of lung cancer related to smoking's carcinogen-induced DNA damage.
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Affiliation(s)
- Chloé Tarnaud
- Inserm, CESP Centre for Research in Epidemiology and Population Health, Environmental Epidemiology of Cancer Team, UMRS, Villejuif, France
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Chew L, Lee HP. Live It Up Without Lighting Up. ANNALS OF THE ACADEMY OF MEDICINE, SINGAPORE 2012. [DOI: 10.47102/annals-acadmedsg.v41n5p184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
| | - Hin Peng Lee
- Saw Swee Hock School of Public Health, National University Singapore, Singapore
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Smith L, Brinton LA, Spitz MR, Lam TK, Park Y, Hollenbeck AR, Freedman ND, Gierach GL. Body mass index and risk of lung cancer among never, former, and current smokers. J Natl Cancer Inst 2012; 104:778-89. [PMID: 22457475 DOI: 10.1093/jnci/djs179] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Although obesity has been directly linked to the development of many cancers, many epidemiological studies have found that body mass index (BMI)--a surrogate marker of obesity--is inversely associated with the risk of lung cancer. These studies are difficult to interpret because of potential confounding by cigarette smoking, a major risk factor for lung cancer that is associated with lower BMI. METHODS We prospectively examined the association between BMI and the risk of lung cancer among 448 732 men and women aged 50-71 years who were recruited during 1995-1996 for the National Institutes of Health-AARP Diet and Health Study. BMI was calculated based on the participant's self-reported height and weight on the baseline questionnaire. We identified 9437 incident lung carcinomas (including 415 in never smokers) during a mean follow-up of 9.7 years through 2006. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for lung cancer risk factors, including smoking status. To address potential bias due to preexisting undiagnosed disease, we excluded potentially unhealthy participants in sensitivity analyses. All statistical tests were two-sided. RESULTS The crude incidence rate of lung cancer over the study follow-up period was 233 per 100 000 person-years among men and 192 per 100 000 person-years among women. BMI was inversely associated with the risk of lung cancer among both men and women (BMI ≥35 vs 22.5-24.99 kg/m(2): HR = 0.81, 95% CI = 0.70 to 0.94 and HR = 0.73, 95% CI = 0.61 to 0.87, respectively). The inverse association was restricted to current and former smokers and was stronger after adjustment for smoking. Among smokers, the inverse association persisted even after finely stratifying on smoking status, time since quitting smoking, and number of cigarettes smoked per day. Sensitivity analyses did not support the possibility that the inverse association was due to prevalent undiagnosed disease. CONCLUSIONS Our results suggest that a higher BMI is associated with a reduced risk of lung cancer in current and former smokers. Our inability to attribute the inverse association between BMI and the risk of lung cancer to residual confounding by smoking or to bias suggests the need for considering other explanations.
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Affiliation(s)
- Llewellyn Smith
- Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20852-7234, USA
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