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Yalamchi F, Khalagi K, Fahimfar N, Tabrizian P, Sanjari M, Mansourzadeh MJ, Ostovar A, Asadi-Lari M. The process of hip fracture management before and during the COVID-19 pandemic in Iran. BMC Geriatr 2024; 24:359. [PMID: 38654154 DOI: 10.1186/s12877-024-04839-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 02/22/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic affected the control of many chronic conditions, including hip fractures, worldwide. This study was to examine the impact of the COVID-19 pandemic on the management of hip fractures in a referral orthopedic hospital in Iran. By understanding how the pandemic has influenced the care of hip fracture patients, we can gain valuable insights into the challenges, adaptations, and potential improvements in orthopedic healthcare during such public health crises. METHODS Data was collected on hip fracture patients aged 50 and above who were admitted to the hospital before and during the pandemic. The number of admissions and operations, length of hospital stay, and time from admission to surgery were recorded from the hospital information system (HIS) and compared between the two periods. RESULTS The median number of admitted hip fracture patients per month increased slightly during the pandemic (11%), although this increase was not statistically significant (p = 0.124). After adjusting for potential confounders, the mean length of hospital stay was significantly lower during the pandemic period, indicating that patients were discharged sooner (p = 0.019) and the time from admission to surgery was shorter during the pandemic (p = 0.004). Although the increase in the number of hip fracture surgeries per month during the pandemic was not statistically significant (P = 0.132), a higher percentage of patients underwent surgery during the pandemic compared to before (84.8% VS. 79.4%). CONCLUSION The study suggests that the COVID-19 pandemic did not have a negative impact on hip fracture management in the investigated orthopedic hospital in Iran. further research is needed to explore the effects of the pandemic on other aspects of healthcare services, particularly in general hospitals.
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Affiliation(s)
- Fatemeh Yalamchi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Khalagi
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Noushin Fahimfar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Pouria Tabrizian
- Bone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Mahnaz Sanjari
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Javad Mansourzadeh
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
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Otoiu A, Otstavnov N, Otstavnov SS, Ouyahia A, Ouyang G, Owolabi MO, Ozten Y, P A MP, Padron-Monedero A, Padubidri JR, Pal PK, Palicz T, Palladino C, Palladino R, Palma-Alvarez RF, Pan F, Pan HF, Pana A, Panda P, Panda-Jonas S, Pandi-Perumal SR, Pangaribuan HU, Panos GD, Panos LD, Pantazopoulos I, Pantea Stoian AM, Papadopoulou P, Parikh RR, Park S, Parthasarathi A, Pashaei A, Pasovic M, Passera R, Pasupula DK, Patel HM, Patel J, Patel SK, Patil S, Patoulias D, Patthipati VS, Paudel U, Pazoki Toroudi H, Pease SA, Peden AE, Pedersini P, Pensato U, Pepito VCF, Peprah EK, Peprah P, Perdigão J, Pereira M, Peres MFP, Perianayagam A, Perico N, Pestell RG, Pesudovs K, Petermann-Rocha FE, Petri WA, Pham HT, Philip AK, Phillips MR, Pierannunzio D, Pigeolet M, Pigott DM, Pilgrim T, Piracha ZZ, Piradov MA, Pirouzpanah S, Plakkal N, Plotnikov E, Podder V, Poddighe D, Polinder S, Polkinghorne KR, Poluru R, Ponkilainen VT, Porru F, Postma MJ, Poudel GR, Pourshams A, Pourtaheri N, Prada SI, Pradhan PMS, Prakasham TN, Prasad M, Prashant A, Prates EJS, Prieto Alhambra D, PRISCILLA TINA, Pritchett N, Purohit BM, Puvvula J, Qasim NH, Qattea I, Qazi AS, Qian G, Qiu S, Qureshi MF, Rabiee Rad M, Radfar A, Radhakrishnan RA, Radhakrishnan V, Raeisi Shahraki H, Rafferty Q, Raggi A, Raghav PR, Raheem N, Rahim F, Rahim MJ, Rahimi-Movaghar V, Rahman MM, Rahman MHU, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmanian V, Rajaa S, Rajput P, Rakovac I, Ramasamy SK, Ramazanu S, Rana K, Ranabhat CL, Rancic N, Rane A, Rao CR, Rao IR, Rao M, Rao SJ, Rasali DP, Rasella D, Rashedi S, Rashedi V, Rashidi MM, Rasouli-Saravani A, Rasul A, Rathnaiah Babu G, Rauniyar SK, Ravangard R, Ravikumar N, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Rawlley B, Raza RZ, Razo C, Redwan EMM, Rehman FU, Reifels L, Reiner Jr RC, Remuzzi G, Reyes LF, Rezaei M, Rezaei N, Rezaei N, Rezaeian M, Rhee TG, Riaz MA, Ribeiro ALP, Rickard J, Riva HR, Robinson-Oden HE, Rodrigues CF, Rodrigues M, Roever L, Rogowski ELB, Rohloff P, Romadlon DS, Romero-Rodríguez E, Romoli M, Ronfani L, Roshandel G, Roth GA, Rout HS, Roy N, Roy P, Rubagotti E, Ruela GDA, Rumisha SF, Runghien T, Rwegerera GM, Rynkiewicz A, S N C, Saad AMA, Saadatian Z, Saber K, Saber-Ayad MM, SaberiKamarposhti M, Sabour S, Sacco S, Sachdev PS, Sachdeva R, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi E, Sadeghian F, Saeb MR, Saeed U, Safaeinejad F, Safi SZ, Sagar R, Saghazadeh A, Sagoe D, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahoo SS, Sahoo U, Sahu M, Saif Z, Sajid MR, Sakshaug JW, Salam N, Salamati P, Salami AA, Salaroli LB, Saleh MA, Salehi S, Salem MR, Salem MZY, Salimi S, Samadi Kafil H, Samadzadeh S, Samargandy S, Samodra YL, Samy AM, Sanabria J, Sanna F, Santomauro DF, Santos IS, Santric-Milicevic MM, Sao Jose BP, Sarasmita MA, Saraswathy SYI, Saravanan A, Saravi B, Sarikhani Y, Sarkar T, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sarveazad A, Sathian B, Sathish T, Satpathy M, Sayeed A, Sayeed MA, Saylan M, Sayyah M, Scarmeas N, Schaarschmidt BM, Schlaich MP, Schlee W, Schmidt MI, Schneider IJC, Schuermans A, Schumacher AE, Schutte AE, Schwarzinger M, Schwebel DC, Schwendicke F, Šekerija M, Selvaraj S, Senapati S, Senthilkumaran S, Sepanlou SG, Serban D, Sethi Y, Sha F, Shabany M, Shafaat A, Shafie M, Shah NS, Shah PA, Shah SM, Shahabi S, Shahbandi A, Shahid I, Shahid S, Shahid W, Shahsavari HR, Shahwan MJ, Shaikh A, Shaikh MA, Shakeri A, Shalash AS, Sham S, Shamim MA, Shams-Beyranvand M, Shamshad H, Shamsi MA, Shanawaz M, Shankar A, Sharfaei S, Sharifan A, Sharifi-Rad J, Sharma R, Sharma S, Sharma U, Sharma V, Shastry RP, Shavandi A, Shayan M, Shehabeldine AME, Sheikh A, Sheikhi RA, Shen J, Shetty A, Shetty BSK, Shetty PH, Shi P, Shibuya K, Shiferaw D, Shigematsu M, Shin MJ, Shin YH, Shiri R, Shirkoohi R, Shitaye NA, Shittu A, Shiue I, Shivakumar KM, Shivarov V, Shokraneh F, Shokri A, Shool S, Shorofi SA, Shrestha S, Shuval K, Siddig EE, Silva JP, Silva LMLR, Silva S, Simpson CR, Singal A, Singh A, Singh BB, Singh G, Singh J, Singh NP, Singh P, Singh S, Sinha DN, Sinto R, Siraj MS, Sirota SB, Sitas F, Sivakumar S, Skryabin VY, Skryabina AA, Sleet DA, Socea B, Sokhan A, Solanki R, Solanki S, Soleimani H, Soliman SSM, Song S, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Spearman S, Sreeramareddy CT, Srivastava VK, Stanaway JD, Stanikzai MH, Stark BA, Starnes JR, Starodubova AV, Stein C, Stein DJ, Steinbeis F, Steiner C, Steinmetz JD, Steiropoulos P, Stevanović A, Stockfelt L, Stokes MA, Stortecky S, Subramaniyan V, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun HZ, Sun J, Sundström J, Sunkersing D, Sunnerhagen KS, Swain CK, Szarpak L, Szeto MD, Szócska M, Tabaee Damavandi P, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabish M, TADAKAMADLA JYOTHI, Tadakamadla SK, Taheri Abkenar Y, Taheri Soodejani M, Taiba J, Takahashi K, Talaat IM, Talukder A, Tampa M, Tamuzi JL, Tan KK, Tandukar S, Tang H, Tang HK, Tarigan IU, Tariku MK, Tariqujjaman M, Tarkang EE, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tefera YM, Temsah MH, Temsah RMH, Teramoto M, Tesler R, Teye-Kwadjo E, Thakur R, Thangaraju P, Thankappan KR, Tharwat S, Thayakaran R, Thomas N, Thomas NK, Thomson AM, Thrift AG, Thum CCC, Thygesen LC, Tian J, Tichopad A, Ticoalu JHV, Tillawi T, Tiruye TY, Titova MV, Tonelli M, Topor-Madry R, Toriola AT, Torre AE, Touvier M, Tovani-Palone MR, Tran JT, Tran NM, Trico D, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tumurkhuu M, Tung K, Tyrovolas S, Uddin SMN, Udoakang AJ, Udoh A, Ullah A, Ullah I, Ullah S, Ullah S, Umakanthan S, Umeokonkwo CD, Unim B, Unnikrishnan B, Unsworth CA, Upadhyay E, Urso D, Usman JS, Vahabi SM, Vaithinathan AG, Valizadeh R, Van de Velde SM, Van den Eynde J, Varga O, Vart P, Varthya SB, Vasankari TJ, Vasic M, Vaziri S, Vellingiri B, Venketasubramanian N, Verghese NA, Verma M, Veroux M, Verras GI, Vervoort D, Villafañe JH, Villanueva GI, Vinayak M, Violante FS, Viskadourou M, Vladimirov SK, Vlassov V, Vo B, Vollset SE, Vongpradith A, Vos T, Vujcic IS, Vukovic R, Wafa HA, Waheed Y, Wamai RG, Wang C, Wang N, Wang S, Wang S, Wang Y, Wang YP, Waqas M, Ward P, Wassie EG, Watson S, Watson SLW, Weerakoon KG, Wei MY, Weintraub RG, Weiss DJ, Westerman R, Whisnant JL, Wiangkham T, Wickramasinghe DP, Wickramasinghe ND, Wilandika A, Wilkerson C, Willeit P, Wilson S, Wojewodzic MW, Woldegebreal DH, Wolf AW, Wolfe CDA, Wondimagegene YA, Wong YJ, Wongsin U, Wu AM, Wu C, Wu F, Wu X, Wu Z, Xia J, Xiao H, Xie Y, Xu S, Xu WD, Xu X, Xu YY, Yadollahpour A, Yamagishi K, Yang D, Yang L, Yano Y, Yao Y, Yaribeygi H, Ye P, Yehualashet SS, Yesiltepe M, Yesuf SA, Yezli S, Yi S, Yigezu A, Yiğit A, Yiğit V, Yip P, Yismaw MB, Yismaw Y, Yon DK, Yonemoto N, Yoon SJ, You Y, Younis MZ, Yousefi Z, Yu C, Yu Y, Yuh FH, Zadey S, Zadnik V, Zafari N, Zakham F, Zaki N, Zaman SB, Zamora N, Zand R, Zangiabadian M, Zar HJ, Zare I, Zarrintan A, Zeariya MGM, Zeinali Z, Zhang H, Zhang J, Zhang J, Zhang L, Zhang Y, Zhang ZJ, Zhao H, Zhong C, Zhou J, Zhu B, Zhu L, Ziafati M, Zielińska M, Zitoun OA, Zoladl M, Zou Z, Zuhlke LJ, Zumla A, Zweck E, Zyoud SH, Wool EE, Murray CJL. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024:S0140-6736(24)00367-2. [PMID: 38582094 DOI: 10.1016/s0140-6736(24)00367-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
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Sadeghianpour Z, Cheraghian B, Farshchi HR, Asadi-Lari M. Non-alcoholic fatty liver disease and socioeconomic determinants in an Iranian cohort study. BMC Gastroenterol 2023; 23:350. [PMID: 37814220 PMCID: PMC10561474 DOI: 10.1186/s12876-023-02964-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 09/19/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is widespread worldwide. On the other hand, social inequality and socioeconomic status (SES) can affect all aspects of health. Therefore, this study aimed to investigate the relationship between SES indicators and NAFLD. METHODS This was a cross-sectional study using data from the registration phase of the Hoveyzeh Cohort Study, which included 10,009 individuals aged 35-70 years from May 2016 to August 2018. Fatty liver disease was determined based on Fatty Liver Index (FLI). The crude and adjusted odds ratios were calculated by logistic regression analysis to estimate associations between the fatty liver index and SES after controlling the potential confounders. RESULTS According to the FLI index, there were 2,006 people with fatty liver (28%) and 5,246 people without fatty liver (72%). Several 4496 people (62%) were women. The chi-square test showed significant relationships between the educational level and skill level (P < 0.001), the wealth index (P < 0.001), and Townsend Index (P < 0.001) with fatty liver index. In multivariable analysis, after adjustment for age, sex, physical activity, smoking, type of residence, calorie intake, dyslipidemia, skill level, and diabetes, the wealth index (p < 0.001) was positively associated with the fatty liver index. Besides, a reverse and significant association was seen between the Townsend index and the fatty liver index(p < 0.001). In contrast, no significant associations were seen between gender and educational level with the fatty liver index. CONCLUSIONS A more vulnerable SES is associated with NAFLD. Fatty liver index and socioeconomic indicators can be powerful monitoring tools to monitor health differences in diagnosing NAFLD.
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Affiliation(s)
- Zahra Sadeghianpour
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Bahman Cheraghian
- Department of Biostatistics and Epidemiology, Alimentary Tract Research Center, Clinical Sciences Research Institute, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hamid Reza Farshchi
- MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, Iran.
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Sharbatoghli M, Saeednejad Zanjani L, Fahimeh F, Kalantari E, Habibi Shams Z, Panahi M, Totonchi M, Asadi-Lari M, Madjd Z. The Association Between Higher Expression of Talin-1 and the Reduced Survival Rate in Ovarian Serous Carcinoma Patients. Iran J Pathol 2023; 18:312-326. [PMID: 37942198 PMCID: PMC10628370 DOI: 10.30699/ijp.2023.554227.2901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 01/28/2023] [Indexed: 11/10/2023]
Abstract
Background & Objective Talin-1 is a constituent of the multiprotein adhesion complexes that play main role in the formation of tumors and migration in different types of malignancies. The present study aimed to assess expression and prognostic significance of the talin-1 protein in ovarian serous carcinoma (OSC) patients. Methods The expression of talin-1 in mRNA and its protein levels were investigated for ovarian cancer (OC) by using bioinformatics tools, including Gene Expression Profiling Interactive Analysis 2 (GEPIA2), Gene Expression Database of Normal and Tumor Tissue 2 (GENT2), and The University of ALabama at Birmingham CANcer data analysis Portal (UALCAN) databases. Thereafter, immunohistochemical (IHC) staining was used to study the expression patterns of the talin-1 protein using 46 paraffin-embedded OSC tissue specimens, 25 benign tumors, and 20 normal tissues, which were assembled in tissue microarrays (TMAs). We also assessed the potential association between the expression of the talin-1 protein, various clinicopathological parameters, and survival outcomes. Results Our IHC examination for talin-1 was significantly overexpressed in OSC tissues compared to benign tumors and normal tissues. The Kaplan-Meier survival analysis has also indicated statistically significant differences in terms of disease-specific survival (DSS) and progression-free survival (PFS) between the patients with high and low expression levels of talin-1, respectively. Conclusion The talin-1 protein was overexpressed in OSC tissues, and a high expression level of talin-1 was found to be significantly associated with tumor aggressiveness and poorer DSS or PFS. Therefore, talin-1 may serve as a molecular marker of cancer progression and a novel prognostic biomarker in these patients.
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Affiliation(s)
- Mina Sharbatoghli
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
- M Sharbatoghli and L Saeednejad Zanjani contributed equally to this work as the first author position.
| | - Leili Saeednejad Zanjani
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Pathology and Genomic Medicine, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
- M Sharbatoghli and L Saeednejad Zanjani contributed equally to this work as the first author position.
| | - Fattahi Fahimeh
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Clinical Research Development Unit of Ayatollah-Khansari Hospital, Arak University of Medical Sciences, Arak, Iran
| | - Elham Kalantari
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Zohre Habibi Shams
- Department of Pathology, Iran University of Medical Sciences, Tehran, Iran
| | - Mahshid Panahi
- Department of Pathology, Iran University of Medical Sciences, Tehran, Iran
| | - Mehdi Totonchi
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
- Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Madjd
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Pathology, Iran University of Medical Sciences, Tehran, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
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Afshari M, Teymourlouy AA, Maleki M, Asadi-Lari M. Enhancing global health diplomacy for non-communicable diseases: application of the global health network framework. Global Health 2023; 19:41. [PMID: 37344896 DOI: 10.1186/s12992-023-00944-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 06/03/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND AND AIM Understanding the characteristics of global policy actors and the political context in which they address diplomatic issues in the field of NCDs can play an important role in advancing NCD-related goals. The purpose of this study was to identify and analyze the network of global health actors in the field of NCDs in Iran. METHODS This study was conducted in 2020 using a qualitative methodology and framework analysis. In-depth semi-structured interviews were conducted with subject-matter experts from all levels of diplomacy, including global, regional, and national, who had managerial, administrative, and academic experience. FINDINGS A total of 21 interviews were conducted with individuals who met the inclusion criteria. Following the framework of the World Health Network, the findings were divided into three general areas: the features of the network and the actors; the policy environment; and the characteristics of the issue. CONCLUSION A successful and sustainable program to combat NCDs requires the participation of multiple actors from governments, the private sector, and civil society at international, national, and local levels. The Global Network for Prevention and Control of NCDs should enhance the effectiveness of NCDs policies by highlighting the need to simultaneously improve the internal factors of the network, including relationships among the actors; external factors, including the policy environment; and the complex nature of NCDs.
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Affiliation(s)
- Mahnaz Afshari
- Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran
| | - Ahmad Ahmadi Teymourlouy
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
| | - Mohammadreza Maleki
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Asadi-Lari M, Majdzadeh R, Mansournia MA, Nedjat S, Mohammad K, Cheraghian B. Construction and validation of CAPSES scale as a composite indicator of SES for health research: an application to modeling social determinants of cardiovascular diseases. BMC Public Health 2023; 23:293. [PMID: 36759795 PMCID: PMC9909943 DOI: 10.1186/s12889-023-15206-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 02/03/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND The main objective of this study was to construct and validate a composite socioeconomic status indicator containing material capital, human capital, and social capital (CAPSES scale) and also appropriate it for CVDs in a large population-based study. METHODS This cross-sectional study, the Urban HEART-2 project, was conducted in Tehran, Iran, in 2011. A total of 34,116 households covering 118,542 individuals were assessed in this study. A 14-parts questionnaire was completed for all selected households. All the gathered data were based on the participants' self-reports. Literacy, wealth index, expenditure, skill level, and Townsend index were used as SES indexes. CVDs, including Hypertension, Myocardial infarction, and stroke, were considered the main outcomes. A structural equation model (SEM) was used to construct a CAPSES scale and a composition index of SES. Criterion validity and Construct validity were used to assess this scale. RESULTS A total of 91,830 subjects consisting of 33,884 (49%) men were included in this analysis. The mean age of the participants was 41.5 ± 11.37 years. Among the assessed participants, 5904(6.4%) reported hypertension, 1507(1.6%) myocardial infarction, and 407(0.4%) strokes. The overall weighted prevalence of self-reported cardiovascular events (hypertension, stroke, and MI) was 8.03% (95%CI: 7.8-8.2). Inverse associations were seen between the CAPSES scale and its domains with CVDs, adjusted for sex, age, BMI, smoking, and diabetes by a multiple logistic regression model. CONCLUSION The CAPSES scale was significantly associated with stroke and hypertension. Our findings showed that the CAPSES index could be useful for public health research.
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Affiliation(s)
- Mohsen Asadi-Lari
- grid.411705.60000 0001 0166 0922Oncopathology Research Centre, University of Medical Sciences, Tehran, Iran
| | - Reza Majdzadeh
- grid.8356.80000 0001 0942 6946School of Health and Social Care, University of Essex Colchester, Colchester, UK
| | - Mohammad Ali Mansournia
- grid.411705.60000 0001 0166 0922Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Saharnaz Nedjat
- grid.411705.60000 0001 0166 0922School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Mohammad
- grid.411705.60000 0001 0166 0922Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Bahman Cheraghian
- Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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7
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Sharbatoghli M, Fattahi F, Aboulkheyr Es H, Akbari A, Akhavan S, Ebrahimi M, Asadi-Lari M, Totonchi M, Madjd Z. Copy Number Variation of Circulating Tumor DNA (ctDNA) Detected Using NIPT in Neoadjuvant Chemotherapy-Treated Ovarian Cancer Patients. Front Genet 2022; 13:938985. [PMID: 35938032 PMCID: PMC9355329 DOI: 10.3389/fgene.2022.938985] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 06/15/2022] [Indexed: 12/24/2022] Open
Abstract
Analysis of circulating tumor DNA (ctDNA) can be used to characterize and monitor cancers. Recently, non-invasive prenatal testing (NIPT) as a new next-generation sequencing (NGS)-based approach has been applied for detecting ctDNA. This study aimed to investigate the copy number variations (CNVs) utilizing the non-invasive prenatal testing in plasma ctDNA from ovarian cancer (OC) patients who were treated with neoadjuvant chemotherapy (NAC). The plasma samples of six patients, including stages II–IV, were collected during the pre- and post-NAC treatment that were divided into NAC-sensitive and NAC-resistant groups during the follow-up time. CNV analysis was performed using the NIPT via two methods “an open-source algorithm WISECONDORX and NextGENe software.” Results of these methods were compared in pre- and post-NAC of OC patients. Finally, bioinformatics tools were used for data mining from The Cancer Genome Atlas (TCGA) to investigate CNVs in OC patients. WISECONDORX analysis indicated fewer CNV changes on chromosomes before treatment in the NAC-sensitive rather than NAC-resistant patients. NextGENe data indicated that CNVs are not only observed in the coding genes but also in non-coding genes. CNVs in six genes were identified, including HSF1, TMEM249, MROH1, GSTT2B, ABR, and NOMO2, only in NAC-resistant patients. The comparison of these six genes in NAC-resistant patients with The Cancer Genome Atlas data illustrated that the total alteration frequency is amplification, and the highest incidence of the CNVs (≥35% based on TCGA data) is found in MROH1, TMEM249, and HSF1 genes on the chromosome (Chr) 8. Based on TCGA data, survival analysis showed a significant reduction in the overall survival among chemotherapy-resistant patients as well as a high expression level of these three genes compared to that of sensitive samples (all, p < 0.0001). The continued Chr8 study using WISECONDORX revealed CNV modifications in NAC-resistant patients prior to NAC therapy, but no CNV changes were observed in NAC-sensitive individuals. Our findings showed that low coverage whole-genome sequencing analysis used for NIPT could identify CNVs in ctDNA of OC patients before and after chemotherapy. These CNVs are different in NAC-sensitive and -resistant patients highlighting the potential application of this approach in cancer patient management.
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Affiliation(s)
- Mina Sharbatoghli
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Fahimeh Fattahi
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | | | - Arvand Akbari
- Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Setareh Akhavan
- Department of Gynecologic Oncology, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Marzieh Ebrahimi
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mehdi Totonchi
- Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
- *Correspondence: Zahra Madjd, ; Mehdi Totonchi,
| | - Zahra Madjd
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
- *Correspondence: Zahra Madjd, ; Mehdi Totonchi,
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8
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Mokhtari M, Khalil D, Farzadfar F, Daroudi R, Asadi-Lari M. The Burden of Cardiovascular Disease Attributable to Modifiable Risk Factors and Cost-effectiveness Analysis of IraPEN Program in the General Population of Iran. Med J Islam Repub Iran 2022; 36:73. [PMID: 36128278 PMCID: PMC9448466 DOI: 10.47176/mjiri.36.73] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 07/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background: Cardiovascular diseases (CVDs) contribute to over 30% of deaths worldwide and more than 40% in Iran in 2019. Establishing a cost-effective program to control cardiovascular diseases is essential for any country. This study aimed to estimate the cost-effectiveness of the primary prevention program (IraPEN) for cardiovascular diseases in Iran. Methods: This methodological cost-effectiveness study was performed to estimate the cost-effectiveness of the IraPEN program by modifying cardiovascular disease risk factors in the IraPEN program. We calculated the economic burden of CVDs risk factors from 2016 to 2018 in 4 pilot cities in Iran. We observed 160,833 individuals for 2 years to measure the economic burden of cardiovascular diseases. To estimate the variation of the 1-year risk of cardiovascular illnesses, and according to the study's goal of estimating the 1-year risk of cardiovascular disease, only 36,631 people remained in the study who compiled the program's instruction for 1 year. Propensity scores were used to consider the effect of those excluded from the study. The 10-year risk of CVDs was estimated by the laboratory tests and information registered in the population's electronic records. To evaluate the effect of the IraPEN program in reducing the risk factors for cardiovascular diseases, major CVD risk factors were studied by the World Health Organization formula (whocvdrisk) and cardiovascular diseases risk scoring. We used the 10-year risk for CVDs to conduct a cost-effectiveness analysis in terms of cost per disability-adjusted life-year (DALY) saved. Results: According to estimates of the 1-year relative risk reduction in cardiovascular disease, the results showed that relative risk reductions for men and women were 0.74 and 0.65, respectively. Hence, about 174,088 annual acute CVDs events reduction would be expected; this decrease is predicted for men (93,034) more than women (81,054) for the total population of Iran. The total cost of treatment for people with cardiovascular diseases was 165 USD for coronary heart disease or stroke per individual. All risk factors were further reduced in women than men, except for smoking. DALYs averted was 1057.66 for samples who were in the study for a year (36631 samples). The total cost per averted DALY was 47.16. Conclusion: Estimating the costs associated with disease prevention programs is more important in developing countries. The most cost-effective strategies have been preventive therapies that target high-risk individuals. PEN risk reduction programs for primary prevention such as Ira-pen are highly cost-effective and efficient in low- and middle-income countries.
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Affiliation(s)
- Mehdi Mokhtari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Iran
| | - Davood Khalil
- Department of Biostatistics and Epidemiology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Rajabali Daroudi
- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, and Oncopathology Research Centre, Iran University of Medical Sciences, Iran,Corresponding author: Dr Mohsen Asadi-Lari,
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9
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Kalantari E, Razmi M, Tajik F, Asadi-Lari M, Ghods R, Madjd Z. Oncogenic functions and clinical significances of DCLK1 isoforms in colorectal cancer: a systematic review and meta-analysis. Cancer Cell Int 2022; 22:217. [PMID: 35717205 PMCID: PMC9206744 DOI: 10.1186/s12935-022-02632-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/06/2022] [Indexed: 12/24/2022] Open
Abstract
Background The oncogenic role of doublecortin-like kinase 1 (DCLK1) as a putative cancer stem cell (CSC) marker has been clarified in colorectal cancer (CRC). Isoform-specific functions of DCLK1 have shed new light on different functions of DCLK1 short (DCLK1-S) and DCLK1 long (DCLK1-L) isoforms in tumor initiation, growth, and metastasis. Therefore, the current systematic review and meta-analysis aimed to review the available in vitro, in vivo, and clinical evidence on the oncogenic roles and clinical significance of DCLK1 isoforms in colorectal cancer. Methods The literature databases of PubMed, Scopus, ISI Web of Science, and Embase were searched to identify eligible articles. The description characteristics of in vitro and pre-clinical studies were extracted from identified reports. In addition, hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were recorded to determine the relationships between DCLK1-L and DCLK1-S expression and prognostic outcomes in patients with CRC. Results Both in vitro and in vivo evidence have emphasized the potential oncogenic functions of DCLK1 in tumor initiation, self-renewal ability, tumor invasion, epithelial-mesenchymal transition (EMT), and metastasis. However, the anti-DCLK1 antibodies generally utilized in these studies could detect sequence homology epitopes of both isoforms. Recent limited isoform-specific evidence has strongly supported the significant positive expression and rather oncogenic efficacy of DCLK1-S in tumorigenesis, EMT, and invasion compared with DCLK1-L in human CRC cell lines. Our meta-analysis findings of limited clinical studies indicated that only overexpression of DCLK1-S is associated with worse overall survival (OS) (HR = 7.930, 95% CI 2.252–27.924, p = 0.001). Increased expression of both DCLK1-S (HR = 1.610, 95% CI 1.020–2.541, p = 0.041) and DCLK1-L (HR = 5.890, 95% CI 1.219–28.453, p = 0.027) isoforms was closely associated with worse DSS/CSS in CRC patients. Furthermore, the high expression of DCLK1-S was found to be associated with poor DFS/RFS/PFS (HR = 1.913, 95% CI 1.230–2.973, p = 0.004). Conclusions The current findings strongly supported that the DCLK1-S isoform may play a crucial role in the invasion, aggressive tumor behavior, and worsened survival outcomes of CRC patients. However, further critical investigations related to the potential preclinical and clinical utilities of DCLK1-S as a specific CRC-CSC marker are warranted. Supplementary Information The online version contains supplementary material available at 10.1186/s12935-022-02632-9.
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Affiliation(s)
- Elham Kalantari
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Mahdieh Razmi
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Fatemeh Tajik
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran.,Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Roya Ghods
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. .,Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
| | - Zahra Madjd
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. .,Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
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10
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Khodakarami R, Abdi Z, Ahmadnezhad E, Sheidaei A, Asadi-Lari M. Prevalence, awareness, treatment and control of diabetes among Iranian population: results of four national cross-sectional STEPwise approach to surveillance surveys. BMC Public Health 2022; 22:1216. [PMID: 35717151 PMCID: PMC9206740 DOI: 10.1186/s12889-022-13627-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/13/2022] [Indexed: 11/20/2022] Open
Abstract
Background Diabetes as a leading cause of death imposes a heavy burden on health systems worldwide. This study investigated the trends in prevalence, awareness, treatment and control of diabetes among Iranian population aged 25 to 65 years over 12 years (2004-2016). Methods Secondary data analysis was performed using data from a national population-based survey, STEPwise approach to surveillance (STEPS) for non-communicable diseases (NCDs) in four rounds (2004, 2007, 2011, 2016). The sample sizes were 89,404, 29,991, 12,103 and 30,541 individuals, respectively across the country in both rural and urban areas. Data were analyzed using descriptive statistics and a logistic regression model with odds ratio at a significance level of less than 5% with no adjustment for age and sex. Logistic regression was used to identify socio-demographic factors associated with the levels of awareness, treatment and control of diabetes mellitus. Results The prevalence of diabetes in four rounds was 8.4, 9, 11.1 and 13.2%, respectively. Among people with diabetes, 53.5, 65.6, 70.5 and 82.2% were aware of their condition and 35.9, 42, 46 and 39.6% were treated for this condition, respectively. In four rounds of study, 14.5, 20.8, 20.4 and 18.5% of all diabetic patients had adequate glycemic control, respectively. In the multivariable logistic regression analysis, there was a significant relationship between female gender, age over 40, living in the urban area, being in the third wealth quintile and having health insurance with diabetes prevalence. Female participants were more likely to be aware of the disease. Older participants were more likely to receive treatment and had adequate glycemic control. Conclusion The prevalence of diabetes in Iran has been increasing and despite the great awareness of the disease, receiving treatment and effective control of the disease are suboptimal. While several national policies to improve diabetes screening and care have been passed in recent years, it seems large gaps remain in disease detection and treatment. It is suggested that more attention be paid to the treatment and control of diabetes by NCDs national policies to prevent the growing burden associated with the disease.
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Affiliation(s)
- Rahmkhoda Khodakarami
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Zhaleh Abdi
- National Institute of Health Research (NIHR), Tehran University of Medical Sciences, Tehran (TUMS), No 70, Bozorgmehr St. Vesale Shirazi St., Tehran, Iran.
| | - Elham Ahmadnezhad
- National Institute of Health Research (NIHR), Tehran University of Medical Sciences, Tehran (TUMS), No 70, Bozorgmehr St. Vesale Shirazi St., Tehran, Iran
| | - Ali Sheidaei
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences (IUMS), Tehran, Iran.,Oncopathology Research Centre, Iran University of Medical Sciences (IUMS), Tehran, Iran
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11
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Arabi A, Naghshtabrizi B, Baradaran HR, Moradi Y, Asadi-Lari M, Mehrakizadeh A. Comparing clinical outcomes in patients with diabetes undergoing coronary artery bypass graft and percutaneous coronary intervention in real world practice in Iranian population. BMC Cardiovasc Disord 2022; 22:75. [PMID: 35240990 PMCID: PMC8895790 DOI: 10.1186/s12872-022-02521-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 02/23/2022] [Indexed: 11/18/2022] Open
Abstract
Background Coronary artery bypass graft (CABG) is generally regarded as one the treatment options for coronary artery disease (CAD) in patients with diabetes. In recent years, with the advent of drug-eluting stents (DES), percutaneous coronary intervention (PCI) was introduced as a suitable alternative for CABG. The aim of this study was to compare the incidence of major adverse cardiac and cerebrovascular event (MACCE) during mid-term period in patients with diabetes treated with 2 revascularization strategies. Methods This historical cohort study was conducted on 750 consecutives patients with diabetes in a single cardiovascular center from July 2009 to March 2012 in Iran. We included previously known case of DM treated with antidiabetic medications (with or without end organ damage) and patient with preoperational evaluation FBS test > 126 (not on the day of the surgery) who were revascularized by 2 strategies. We excluded those patients whose follow-up was not possible. Results Finally, out of 697 eligible patients, 355 patients underwent a CABG and 342 underwent a PCI: 53 patients were lost to follow-up (27 in CABG and 26 in PCI groups). The mean follow-up time was 900.68 ± 462.03 days in the CABG and 782.60 ± 399.05 in PCI groups. There were 17 (9.13%) cardiac deaths in the CABG group and 8 (4.45%) in the PCI group; this difference was not significant (P = .11). There was 14 (7.58%) cerebrovascular accident in the CABG group and 4 (2.31%) in the PCI group; this difference was significant (P = .04). Moreover, the frequency of the target vessel revascularization in the CABG and PCI groups was 6 (3.32%) and 31 (17.11%) (P < .001), respectively. Myocardial infarction in the CABG group was 5 (2.77%) and 14 (7.86%) in the PCI group (P = .009). Finally, the frequency of MACCE in the CABG and PCI groups was 41(20.70%) and 47(24.16%) respectively; this difference was not statistically significant (P = .195). Conclusion Patients with CABG in this study experienced more CVA, while the frequency of TVR and non-fatal MI was higher in the PCI arm.
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Affiliation(s)
- Arezo Arabi
- Department of Cardiology, School of Medicine, Hamedan University of Medical Sciences, Hamedan, Iran
| | - Behshad Naghshtabrizi
- Department of Cardiology, School of Medicine, Hamedan University of Medical Sciences, Hamedan, Iran
| | - Hamid Reza Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.,Ageing Clinical and Experimental Research Team, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Yousef Moradi
- Department of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Kurdistan, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
| | - Ali Mehrakizadeh
- Cardiology Department, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
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12
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Asadi-Lari M, Ahmadi Teymourlouy A, Maleki M, Eslambolchi L, Afshari M. Challenges and opportunities for Iranian global health diplomacy: lessons learned from action for prevention and control of noncommunicable diseases. Health Res Policy Syst 2021; 19:152. [PMID: 34952614 PMCID: PMC8703215 DOI: 10.1186/s12961-021-00800-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 12/03/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The steady rise in noncommunicable diseases (NCDs) worldwide has been a key global health challenge. Governments have the primary responsibility for taking action to prevent and control NCDs. Given the growing importance of globalization of healthcare as well as the increasing use of soft power, governments need to identify challenges and opportunities to enhance global health diplomacy (GHD) for NCD prevention and control. The purpose of this qualitative research was to explain the challenges and opportunities of GHD for NCDs in Iran. METHODS This study was conducted in 2020 using a qualitative approach and through in-depth, semi-structured interviews with 21 experts and specialists in related fields such as health policy, healthcare management, epidemiology and other related specialties. The participants were selected from all levels of diplomacy, including global, regional and national levels, with at least 3 years of experience in managerial, executive and scientific activities. Data analysis was performed by content analysis with an inductive approach. Data were analysed using inductive content analysis. RESULTS The identified challenges were categorized into five main themes, including content challenges, structural challenges, process challenges, governance challenges and cultural challenges. Opportunities extracted from the interviews were also categorized into four main themes, including strong political will, utilizing the capacity of nongovernmental organizations (NGOs), multisectoral collaborations and a well-developed health system. CONCLUSIONS NCD prevention and control requires a multilateral collaboration-based solution. Recognition of the challenges and opportunities in GHD can help draw significant lessons for building the necessary capacities and implementing more effective policies to prevent and control NCDs.
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Affiliation(s)
- Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Ahmadi Teymourlouy
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Maleki
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Leila Eslambolchi
- Health Management and Economics Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Mahnaz Afshari
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. .,Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran.
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13
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Kalantari E, Ghods R, Zanjani LS, Rahimi M, Eini L, Razmi M, Asadi-Lari M, Madjd Z. Cytoplasmic expression of DCLK1-S, a novel DCLK1 isoform, is associated with tumor aggressiveness and worse disease-specific survival in colorectal cancer. Cancer Biomark 2021; 33:277-289. [DOI: 10.3233/cbm-210330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND: Isoform-specific function of doublecortin-like kinase 1 (DCLK1) has highlighted the key role of the DCLK1-S (short isoform) in the maintenance, progression, and invasion of the tumor. OBJECTIVE: This study was designed to produce an anti-DCLK1-S polyclonal antibody to evaluate DCLK1-S in human colorectal cancer (CRC) specifically. METHODS: The expression pattern and clinical significance of DCLK1-S were assessed in a well-defined tissue microarray (TMA) series of 348 CRC and 51 adjacent normal tissues during a follow-up period of 108 months. RESULTS: Expression of DCLK1-S was significantly higher in CRC samples compared to adjacent normal samples (P< 0.001). Cytoplasmic expression of DCLK1-S was significantly higher in the tumors at the advanced stage of cancer and with poorer differentiation (P< 0.001, P= 0.02). The patients with CRC whose tumors showed higher cytoplasmic expression of DCLK1-S had worse disease-specific survival (DSS) (log-rank test, P= 0.03) and 5-year DSS rates (P= 0.01). Additionally, an improved prognostic value was observed in the patients with CRC with high DCLK1-S expression vs. its moderate expression (HR: 2.70, 95% CI: 0.98–7.38; p= 0.04) by multivariate analysis. CONCLUSIONS: Our findings strongly supported that high cytoplasmic expression of DCLK1-S compared to its moderate expression could be considered an independent prognostic factor influencing DSS.
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Affiliation(s)
- Elham Kalantari
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Roya Ghods
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | | | - Mandana Rahimi
- Hasheminejad Kidney Center, Pathology Department, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Leila Eini
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Division of Histology, Department of Basic Sciences, Faculty of Veterinary Medicine, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mahdieh Razmi
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Madjd
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
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14
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Asadi-Lari M, Ahmadi Teymourlouy A, Maleki M, Afshari M. Opportunities and challenges of global health diplomacy for prevention and control of noncommunicable diseases: a systematic review. BMC Health Serv Res 2021; 21:1193. [PMID: 34736461 PMCID: PMC8567539 DOI: 10.1186/s12913-021-07240-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 10/29/2021] [Indexed: 11/11/2022] Open
Abstract
Background and aim The growing globalization has changed the goals and methods of diplomacy. Due to the challenges and complexities of dealing with noncommunicable diseases (NCDs) at the national and international levels, policy makers require global health diplomacy (GHD) to achieve the goals of prevention and control of NCDs. The purpose of this systematic review was to identify the challenges and opportunities in GHD for NCDs. Methods A systematic review of articles was conducted by searching MEDLINE via PubMed, Web of Science, Scopus, and Embase and by using Google and Google Scholar search engines. Additional articles were identified by reviewing reference lists and a number of special journals. The inclusion criteria include literature published in English from 2007 to 2020, and the exclusion criteria are literature published in any language other than English, absence of full text, dissertations, and duplicates. Overall, 32 articles met the requirements for inclusion in this review and were analyzed using content analysis in MAXQDA 10. Findings There are 32 published articles on GHD for NCDs. Identified challenges were classified into three levels: global (global health governance), national (Governance at the state level, health sector, and civil society), and industry. The progress on global health issues has created opportunities for the development of GHD for the prevention and control of NCDs. These opportunities were divided into three levels: international, national, and individual level. Conclusion Various challenges at the global level, national level, and industry led to less engagement of policymakers in GHD for prevention and control of NCDs and, as a consequence, a less coordinated approach to address prevention and control of NCDs worldwide. So, there is a need for more efforts of collective action and negotiation for tackling NCDs. Policymakers and managers of the health system should increase the advocacy, building a coalition with civil society, use negotiation and diplomacy to engage with other sectors and organizations, manage industry conflicts, and leverage foreign policy to promote health and welfare. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-07240-3.
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Affiliation(s)
- Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Ahmadi Teymourlouy
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Maleki
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mahnaz Afshari
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
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15
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Nabavi SH, Asadi-Lari M, Mousavi MT, Rashedi V, Fadayevatan R. Socioeconomic Determinants of Social Capital Inequality among Older Adults of Tehran: A Population-Based Study (Urban HEART-2). Med J Islam Repub Iran 2021; 35:188. [PMID: 36042825 PMCID: PMC9391754 DOI: 10.47176/mjiri.35.188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Indexed: 12/02/2022] Open
Abstract
Background:
Social capital (SC) is an essential concept of communities, and there is more SC inequality. In the current study, we studied SC Inequality concerning the explanatory socioeconomic factors.
Methods:
In a cross-sectional observational study, the household data were retrieved from an Urban Health Equity Assessment and Response Tool survey in 2011. Over 5000 elderlies in Tehran (> 60 years old) consented toparticipate in the study and filled out 2 SC questionnaires (SCQ) and a household properties questionnaire (HPQ). Subsequently, the collected HPQ data were then statistically analyzed and used to measure the economic status of households. Besides, the statistical concentration index of the SC was applied to measure socioeconomic inequality and decomposed into its determinants using both SCQ and HPQ data collections. The concentration index and the decomposition analysis were used to analyze the study data.
Results:
The overall concentration index of the SC in Tehran senior citizens was 0.059 (95%CI,0.044-0.076). Among the SC dimensions, collective activity, social coherence, voluntary help, and social network were more concentrated in the poor older adults. Simultaneously, reciprocity was more focused onthe wealthy class, and there was no inequality in trust. The decomposition of the concentration index showed that economic status made the most considerable contribution to the SC inequality among citizens (69.11%), followed by the level of education (12.695) and the elderlies'job type (9.58%).
Conclusion:
Given that the economic status and level of education are the 2 main determinants of SC inequality, a holistic policy approach should be adopted to address the socioeconomic inequalities that are taken root in Tehran's senior communities.
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Affiliation(s)
- Seyed Hamid Nabavi
- Iranian Research Center on Aging, Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mir-Taher Mousavi
- Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Vahid Rashedi
- School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran
| | - Reza Fadayevatan
- Iranian Research Center on Aging, Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
- Corresponding author:
Reza Fadayevatan,
Dr Reza Fadayevata,
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16
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Amiri-Farahani L, Parvizy S, Mohammadi E, Asadi-Lari M, Taghizadeh Z, Pezaro S. Development, implementation and evaluation of the 'BELIEVE' program for improving physical activity among women: a mixed method action research study. BMC Sports Sci Med Rehabil 2021; 13:135. [PMID: 34702341 PMCID: PMC8547091 DOI: 10.1186/s13102-021-00367-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 10/21/2021] [Indexed: 11/10/2022]
Abstract
Background There is insufficient physical activity among women. Yet the implementation of effective, multilevel, and evidence-based interventions may address this. Since the lifestyle of individuals is formed in many different social, physical and cultural contexts, it will be necessary in designing such interventions to involve many stakeholders. Consequently, the present study took a mixed method action research approach in developing, implementing and evaluating a bespoke program to improve physical activity among women.
Methods This study was conducted within the Khoramroudi neighborhood of Tehran between 2013 and 2015 utilizing the four main phases of action research. The Mobilizing for Action through Planning and Partnerships (MAPP) process was used to design the study. During the initial phase, participants were organized into three groups; a core support committee, a steering committee, and a study population. Qualitative and quantitative data were also collected during this first phase. During the second phase, interventions were developed and implemented. In the third phase, an evaluation was carried out using both quantitative (Designing a quasi-experimental study) and qualitative methods. During the fourth phase, an exploration of the structure and process of action research was completed with the aim of providing a conceptual model and descriptions of the context. Results Three strategic interventions were effective in improving physical activity among women: (1) utilization of sports assistants; (2) Local health promotion and the dissemination of an informational, motivational and culturally competent booklet entitled “Educational content for sport assistants" (3) Group-based cognitive behavioral therapy. Quantitative results [Significant difference between the total score of PA before the intervention, and 1 and 3 months after the intervention (P < 0.001)] and the results of qualitative evaluations were shown to improve physical activity among participants. The newly co-created “adjusted MAPP model” was offered within three action cycles. The structure of this was described to capture the impacts of interactions among a variety of stakeholders. Conclusion The comprehensive identification of problems led to the development of collaborative strategies. Strategies of action research can positively affect physical activity among women. To improve physical activity outcomes more generally, the use of MAPP principles and strategies is suggested to meet the specific needs and strengths of all community members.
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Affiliation(s)
- Leila Amiri-Farahani
- Department of Midwifery, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
| | - Soroor Parvizy
- Department of Pediatric Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Eesa Mohammadi
- Department of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Centre, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ziba Taghizadeh
- Faculty Member of Nursing and Midwifery Care Research Center, Nursing and Midwifery School, Tehran University of Medical Sciences, Tehran, Iran
| | - Sally Pezaro
- Faculty of Health and Life Sciences, Coventry University, Coventry, UK
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17
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Rashedi V, Asadi-Lari M, Harouni GG, Foroughan M, Borhaninejad V, Rudnik A. The Determinants of Social Capital among Iranian Older Adults: An Ecological Study. Adv Gerontol 2021. [DOI: 10.1134/s2079057021030139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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18
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Rezaei N, Maghsodlu M, Sheidaei A, Kafiabad SA, Gohari K, Zadsar M, Delavari F, Sharifi Z, Yoosefi M, Farzadfar F, Asadi-Lari M. Spatio-Temporal Analysis of the Hepatitis B Prevalence in Iranian Blood Donors from 2000 to 2016 at National and Provincial Level. Iran J Public Health 2021; 50:1854-1862. [PMID: 34722381 PMCID: PMC8542826 DOI: 10.18502/ijph.v50i9.7058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/20/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND High risk blood transfusions can cause a lot of financial and psychological burden to the community. The prevalence of Hepatitis B is useful for evaluating the blood products' safety and donor selection methods. We aimed to predict the prevalence of hepatitis B in Iranian blood donors from 2000-2016. METHODS Positive cases of hepatitis B from 2006 to 2014 were collected from Iranian Blood Transfusion Organization. This database was classified according to the age, provinces, and type of donation. Data was not existed in all subnational levels and all years, therefore, for predicting the hepatitis B prevalence, two separate, Spatio-temporal and mixed model (GLMM) were developed. RESULTS At the national level, the hepatitis B prevalence declined from 0.69 (0.51 to 0.90) in 2000 to 0.27 (0.21 to 0.33) in 2016. In first-time, regular, and repeated donors, this prevalence declined from 2.31 (1.74 to 2.31), 0.26 (0.19 to 0.34), and 0.51 (0.38 to 0.68) in 2000 to 0.87 (0.69 to 1.09), 0.09 (0.07 to 0.12), and 0.19 (0.14 to 0.24) in 2016. At the provincial level, the highest and lowest prevalence in 2016 was observed in North Khorasan and Gilan. With increasing age, the average prevalence of hepatitis B, increased. CONCLUSION Prevalence of hepatitis B in Iranian blood donors has been reduced significantly over 17 years, but still new cases of hepatitis B are reported. By precise monitoring the donor selection process and implementing more sensitive laboratory screening, we can reduce the risk of new infectious agents.
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Affiliation(s)
- Negar Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahtab Maghsodlu
- Blood Transfusion Research Centre, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Ali Sheidaei
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Sedigheh Amini Kafiabad
- Blood Transfusion Research Centre, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Kimiya Gohari
- Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Maryam Zadsar
- Blood Transfusion Research Centre, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Farnaz Delavari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zohreh Sharifi
- Blood Transfusion Research Centre, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Moein Yoosefi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, Iran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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19
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Sharbatoghli M, Vafaei S, Aboulkheyr Es H, Asadi-Lari M, Totonchi M, Madjd Z. Prediction of the treatment response in ovarian cancer: a ctDNA approach. J Ovarian Res 2020; 13:124. [PMID: 33076944 PMCID: PMC7574472 DOI: 10.1186/s13048-020-00729-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 10/11/2020] [Indexed: 02/06/2023] Open
Abstract
Ovarian cancer is the eighth most commonly occurring cancer in women. Clinically, the limitation of conventional screening and monitoring approaches inhibits high throughput analysis of the tumor molecular markers toward prediction of treatment response. Recently, analysis of liquid biopsies including circulating tumor DNA (ctDNA) open new way toward cancer diagnosis and treatment in a personalized manner in various types of solid tumors. In the case of ovarian carcinoma, growing pre-clinical and clinical studies underscored promising application of ctDNA in diagnosis, prognosis, and prediction of treatment response. In this review, we accumulate and highlight recent molecular findings of ctDNA analysis and its associations with treatment response and patient outcome. Additionally, we discussed the potential application of ctDNA in the personalized treatment of ovarian carcinoma. ctDNA-monitoring usage during the ovarian cancer treatments procedures.
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Affiliation(s)
- Mina Sharbatoghli
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Somayeh Vafaei
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | | | - Mohsen Asadi-Lari
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mehdi Totonchi
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
- Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran.
| | - Zahra Madjd
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran.
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
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Reiner RC, Wiens KE, Deshpande A, Baumann MM, Lindstedt PA, Blacker BF, Troeger CE, Earl L, Munro SB, Abate D, Abbastabar H, Abd-Allah F, Abdelalim A, Abdollahpour I, Abdulkader RS, Abebe G, Abegaz KH, Abreu LG, Abrigo MRM, Accrombessi MMK, Acharya D, Adabi M, Adebayo OM, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Afarideh M, Ahmadi K, Ahmadi M, Ahmed AE, Ahmed MB, Ahmed R, Ajumobi O, Akal CG, Akalu TY, Akanda AS, Alamene GM, Alanzi TM, Albright JR, Alcalde Rabanal JE, Alemnew BT, Alemu ZA, Ali BA, Ali M, Alijanzadeh M, Alipour V, Aljunid SM, Almasi A, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi K, Alvis-Guzman N, Alvis-Zakzuk NJ, Amare AT, Amini S, Amit AML, Andrei CL, Anegago MT, Anjomshoa M, Ansari F, Antonio CAT, Antriyandarti E, Appiah SCY, Arabloo J, Aremu O, Armoon B, Aryal KK, Arzani A, Asadi-Lari M, Ashagre AF, Atalay HT, Atique S, Atre SR, Ausloos M, Avila-Burgos L, Awasthi A, Awoke N, Ayala Quintanilla BP, Ayano G, Ayanore MA, Ayele AA, Aynalem YAA, Azari S, Babaee E, Badawi A, Bakkannavar SM, Balakrishnan S, Bali AG, Banach M, Barac A, Bärnighausen TW, Basaleem H, Bassat Q, Bayati M, Bedi N, Behzadifar M, Behzadifar M, Bekele YA, Bell ML, Bennett DA, Berbada DA, Beyranvand T, Bhat AG, Bhattacharyya K, Bhattarai S, Bhaumik S, Bijani A, Bikbov B, Biswas RK, Bogale KA, Bohlouli S, Brady OJ, Bragazzi NL, Briko NI, Briko AN, Burugina Nagaraja S, Butt ZA, Campos-Nonato IR, Campuzano Rincon JC, Cárdenas R, Carvalho F, Castro F, Chansa C, Chatterjee P, Chattu VK, Chauhan BG, Chin KL, Christopher DJ, Chu DT, Claro RM, Cormier NM, Costa VM, Damiani G, Daoud F, Dandona L, Dandona R, Darwish AH, Daryani A, Das JK, Das Gupta R, Dasa TT, Davila CA, Davis Weaver N, Davitoiu DV, De Neve JW, Demeke FM, Demis AB, Demoz GT, Denova-Gutiérrez E, Deribe K, Desalew A, Dessie GA, Dharmaratne SD, Dhillon P, Dhimal M, Dhungana GP, Diaz D, Ding EL, Diro HD, Djalalinia S, Do HP, Doku DT, Dolecek C, Dubey M, Dubljanin E, Duko Adema B, Dunachie SJ, Durães AR, Duraisamy S, Effiong A, Eftekhari A, El Sayed I, El Sayed Zaki M, El Tantawi M, Elemineh DA, El-Jaafary SI, Elkout H, Elsharkawy A, Enany S, Endalamfaw A, Endalew DA, Eskandarieh S, Esteghamati A, Etemadi A, Farag TH, Faraon EJA, Fareed M, Faridnia R, Farioli A, Faro A, Farzam H, Fazaeli AA, Fazlzadeh M, Fentahun N, Fereshtehnejad SM, Fernandes E, Filip I, Fischer F, Foroutan M, Francis JM, Franklin RC, Frostad JJ, Fukumoto T, Gayesa RT, Gebremariam KT, Gebremedhin KBB, Gebremeskel GG, Gedefaw GA, Geramo YCD, Geta B, Gezae KE, Ghashghaee A, Ghassemi F, Gill PS, Ginawi IA, Goli S, Gomes NGM, Gopalani SV, Goulart BNG, Grada A, Gugnani HC, Guido D, Guimares RA, Guo Y, Gupta R, Gupta R, Hafezi-Nejad N, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Handiso DW, Haririan H, Hariyani N, Hasaballah AI, Hasan MM, Hasanzadeh A, Hassankhani H, Hassen HY, Hayelom DH, Heidari B, Henry NJ, Herteliu C, Heydarpour F, Hidru HDD, Hoang CL, Hoogar P, Hoseini-Ghahfarokhi M, Hossain N, Hosseini M, Hosseinzadeh M, Househ M, Hu G, Humayun A, Hussain SA, Ibitoye SE, Ilesanmi OS, Ilic MD, Inbaraj LR, Irvani SSN, Islam SMS, Iwu CJ, Jaca A, Jafari Balalami N, Jahanmehr N, Jakovljevic M, Jalali A, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jia P, Johnson KB, Jonas JB, Jozwiak JJ, Kabir A, Kabir Z, Kahsay A, Kalani H, Kanchan T, Karami Matin B, Karch A, Karki S, Kasaeian A, Kasahun GG, Kayode GA, Kazemi Karyani A, Keiyoro PN, Ketema DB, Khader YS, Khafaie MA, Khalid N, Khalil AT, Khalil I, Khalilov R, Khan MN, Khan EA, Khan G, Khan J, Khatab K, Khater A, Khater MM, Khatony A, Khayamzadeh M, Khazaei M, Khazaei S, Khodamoradi E, Khosravi MH, Khubchandani J, Kiadaliri AA, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kissoon N, Kondlahalli SKMKMM, Kosek MN, Koyanagi A, Kraemer MUG, Krishan K, Kugbey N, Kumar GA, Kumar M, Kumar P, Kusuma D, La Vecchia C, Lacey B, Lal A, Lal DK, Lami FH, Lansingh VC, Lasrado S, Lee PH, Leili M, Lenjebo TTLL, Levine AJ, Lewycka S, Li S, Linn S, Lodha R, Longbottom J, Lopukhov PD, Magdeldin S, Mahasha PW, Mahotra NB, Malta DC, Mamun AA, Manafi N, Manafi F, Manda AL, Mansournia MA, Mapoma CC, Marami D, Marczak LB, Martins-Melo FR, März W, Masaka A, Mathur MR, Maulik PK, Mayala BK, McAlinden C, Mehndiratta MM, Mehrotra R, Mehta KM, Meles GG, Melese A, Memish ZA, Mena AT, Menezes RG, Mengesha MM, Mengistu DT, Mengistu G, Meretoja TJ, Miazgowski B, Mihretie KMM, Miller-Petrie MK, Mills EJ, Mir SM, Mirabi P, Mirrakhimov EM, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad DK, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadifard N, Mohammed AS, Mohammed S, Mohammed JA, Mohebi F, Mokdad AH, Monasta L, Moodley Y, Moradi M, Moradi G, Moradi-Joo M, Moradi-Lakeh M, Moraga P, Mosapour A, Mouodi S, Mousavi SM, Mozaffor MMM, Muluneh AG, Muriithi MK, Murray CJL, Murthy GVS, Musa KI, Mustafa G, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Najafi F, Nangia V, Nazari J, Ndwandwe DE, Negoi I, Ngunjiri JW, Nguyen QP, Nguyen TH, Nguyen CT, Nigatu D, Ningrum DNA, Nnaji CA, Nojomi M, Noubiap JJ, Oh IH, Okpala O, Olagunju AT, Omar Bali A, Onwujekwe OE, Ortega-Altamirano DDV, Osarenotor O, Osei FB, Owolabi MO, P A M, Padubidri JR, Pana A, Pashaei T, Pati S, Patle A, Patton GC, Paulos K, Pepito VCF, Pereira A, Perico N, Pesudovs K, Pigott DM, Piroozi B, Platts-Mills JA, Poljak M, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Poustchi H, Prada SI, Preotescu L, Quintana H, Rabiee N, Rabiee M, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman MA, Rajati F, Ramezanzadeh K, Rana SM, Ranabhat CL, Rasella D, Rawaf S, Rawaf DL, Rawal L, Remuzzi G, Renjith V, Renzaho AMN, Reta MA, Rezaei S, Ribeiro AI, Rickard J, Rios González CM, Rios-Blancas MJ, Roever L, Ronfani L, Roro EM, Rostami A, Rothenbacher D, Rubagotti E, Rubino S, Saad AM, Sabour S, Sadeghi E, Safari S, Safdarian M, Sagar R, Sahraian MA, Sajadi SM, Salahshoor MR, Salam N, Salehi F, Salehi Zahabi S, Salem MRR, Salem H, Salimi Y, Salimzadeh H, Sambala EZ, Samy AM, Sanabria J, Santos IS, Saraswathy SYI, Sarker AR, Sartorius B, Sathian B, Satpathy M, Sbarra AN, Schaeffer LE, Schwebel DC, Senbeta AM, Senthilkumaran S, Shabaninejad H, Shaheen AA, Shaikh MA, Shalash AS, Shallo SA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharif M, Shey MS, Shibuya K, Shiferaw WSS, Shigematsu M, Shil A, Shin JI, Shiri R, Shirkoohi R, Si S, Siabani S, Singh JA, Singh NP, Sinha DN, Sisay MM, Skiadaresi E, Smith DL, Sobhiyeh MR, Sokhan A, Soofi M, Soriano JB, Sorrie MB, Soyiri IN, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Suleria HAR, Sykes BL, Tamirat KS, Tassew AA, Taveira N, Taye B, Tehrani-Banihashemi A, Temsah MH, Tesfay BE, Tesfay FH, Tessema ZT, Thankappan KR, Thirunavukkarasu S, Thomas N, Tlaye KG, Tlou B, Tovani-Palone MR, Traini E, Tran KB, Trihandini I, Ullah I, Unnikrishnan B, Valadan Tahbaz S, Valdez PR, Varughese S, Veisani Y, Violante FS, Vollmer S, Vos T, Wada FW, Waheed Y, Wang Y, Wang YP, Weldesamuel GT, Welgan CA, Westerman R, Wiangkham T, Wijeratne T, Wiysonge CSS, Wolde HF, Wondafrash DZ, Wonde TE, Wu AM, Xu G, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yaseri M, Yenesew MA, Yeshaneh A, Yilma MT, Yimer EM, Yip P, Yirsaw BD, Yisma E, Yonemoto N, Younis MZ, Yousof HASA, Yu C, Yusefzadeh H, Zamani M, Zambrana-Torrelio C, Zandian H, Zeleke AJ, Zepro NB, Zewale TA, Zhang D, Zhang Y, Zhao XJ, Ziapour A, Zodpey S, Hay SI. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395:1779-1801. [PMID: 32513411 PMCID: PMC7314599 DOI: 10.1016/s0140-6736(20)30114-8] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 10/24/2019] [Accepted: 01/10/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. METHODS We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. FINDINGS The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. INTERPRETATION By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. FUNDING Bill & Melinda Gates Foundation.
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Afshari M, Ahmadi Teymourlouy A, Asadi-Lari M, Maleki M. Global Health diplomacy for noncommunicable diseases prevention and control: a systematic review. Global Health 2020; 16:41. [PMID: 32375804 PMCID: PMC7201808 DOI: 10.1186/s12992-020-00572-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/22/2020] [Indexed: 02/08/2023] Open
Abstract
INTRODUCTION The prevention and control of noncommunicable diseases (NCDs) are one of the main challenges of healthcare systems around the world. In addition to the technical level, it requires political negotiations and solutions, such as global health diplomacy (GHD), which involves the participation of a wide range of actors and stakeholders and innovative international health partnerships. This review aimed to draw lessons for strengthening linkages with a wide range of actors and stakeholders from the GHD literature for NCDs, and how policymakers and political leaders can effectively use international health partnerships to beat NCDs. METHODS This research was a systematic review of the literature on GHD for NCDs. All relevant articles published in English were identified by searching PubMed, Web of Science, Scopus, and Embase databases, Google and Google Scholar search engines, and the reference lists of identified articles as well as a number of special journals. 30 articles that met the inclusion criteria were analyzed using content analysis in MAXQDA 10. The Global Health Diplomacy Pyramid and Blouin and Dubé's (2010) analytical framework for examining negotiations were used to classify the data. FINDINGS 30 articles have been published on GHD for NCDs. Five key themes, i.e. the specific problem requiring global collective action, key actors, their interests in the problem, potential negotiation process, and potential scenarios for collective action and 46 sub-themes were identified. Moreover, given the importance of collaboration on NCDs in the international arena, actors were categorized into three groups based on the GHD Pyramid: (1) core diplomacy, (2) multi-stakeholder diplomacy, and (3) informal diplomacy. CONCLUSION Development and adoption of a global policy to tackle the rise in NCDs in developed and developing countries require policymakers and political leaders that participate in GHD. Successful developments in global health policy depend on the performance of and respectful relationships among the stakeholders, and global health diplomats need to understand the complexities of the institutional structures and functional relationships of the international institutions involved in health.
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Affiliation(s)
- Mahnaz Afshari
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Ahmadi Teymourlouy
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Maleki
- Department of Health Service Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
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Rezaei N, Asadi-Lari M, Sheidaei A, Gohari K, Parsaeian M, Khademioureh S, Maghsoudlu M, Amini Kafiabad S, Zadsar M, Motevalian SA, Delavari F, Abedini S, FarzadFar F. Epidemiology of Hepatitis B in Iran from 2000 to 2016: A Systematic Review and Meta-Regression Analysis. Arch Iran Med 2020; 23:189-196. [PMID: 32126788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 11/27/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Hepatitis B infection is the major risk factor for liver cancer in Iran. There is no comprehensive population-based study on the prevalence of hepatitis B by regional distribution. Moreover, systematic reviews of hepatitis B prevalence lack knowledge of some regions. We aimed to estimate the prevalence of hepatitis B and its temporal trends over 17 years by sex, age and geographical distribution. METHODS We used the Iranian Blood Donors data in addition to systematic reviews on population-based studies at national and provincial levels and statistical methods (A two-stage spatio-temporal model and crosswalk approach) to address the missing points of hepatitis B prevalence among the general population. The direct age-standardized approach was applied using Iran's national population in 2016. RESULTS At national level, age-standardized hepatitis B prevalence in Iran decreased from 3.02% (95% uncertainty interval; 2.26 to 3.96) in 2000 to 1.09% (95% uncertainty interval; 0.85 to 1.37) in 2016, with a total -64.84% change. Hepatitis B prevalence was more than 1.3 times greater in males than females in 2016. Overall, the prevalence of hepatitis B increased with increasing age. At provincial level, in 2016, the province with the highest prevalence had a nearly 11-time greater rate compared to the lowest prevalence. The declining annual percent change (APC) of the prevalence trend varied between -11.53% to -0.5% at provincial level from 2000 to 2016. Only one province did not witness a downward trend in which the APC was 0.5% (95% UI:0.47-0.54). CONCLUSION The downward trend in prevalence of hepatitis B infection indicates the effectiveness of strategies and preventive measures adapted in Iran. Nevertheless, we need to eradicate this infection. In this regard, re-evaluating preventive measures, especially in high-risk age groups of the population, is recommended.
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Affiliation(s)
- Negar Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, IR Iran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, IR Iran
| | - Ali Sheidaei
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Kimiya Gohari
- Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahboubeh Parsaeian
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Sara Khademioureh
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahtab Maghsoudlu
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Sedigheh Amini Kafiabad
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Maryam Zadsar
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
| | - Seyed Abbas Motevalian
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, IR Iran
| | - Farnaz Delavari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shifteh Abedini
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Farshad FarzadFar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Asadi-Lari M, Moosavi Jahromi L, Montazeri A, Rezaee N, Haeri Mehrizi AA, Shams-Beyranvand M, Vaez-Mahdavi MR, Abbasi-Ghahramanloo A, Khazaee-Pool M, Ghanbari A, Gholami A. Socio-economic risk factors of household food insecurity and their population attributable risk: A population-based study. Med J Islam Repub Iran 2019; 33:119. [PMID: 32002392 PMCID: PMC6983490 DOI: 10.34171/mjiri.33.119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Indexed: 11/08/2022] Open
Abstract
Background: Food insecurity as a major public health problem has associations with a wide range of adverse consequences on health and quality of life. The aim of this study is to determine the prevalence of food insecurity among Iranian households, its key socioeconomic risk factors and population attributable risk via a large-scale cross-sectional study in the capital of Iran.
Methods: This cross-sectional study was performed among 30,809 households with complete questionnaires of food security, during 2011. The univariate test was used to investigate the association between economic status and covariates with household food insecurity. Multiple logistic regression model was used to assess the independent effect of economic status on household food insecurity.
Results: Totally, 37.8% (95% CI: 37.25, 38.34%) of the households were food insecure. There were significant associations between economic status and household food insecurity after adjustment for other variables (p-value<0.001). The extent of household food insecurity that could be attributed to the economic status in the 1st and 2nd quintiles (poorest and poor households), compared with the 5th quintile (richest households), was estimated to be 48.43% and 60.12%, respectively.
Conclusion: Food insecurity is relatively prevalent among households in Tehran. Economic status was identified as the most significant determinant of household food security, as 62.7% of poorest households were food insecure. Therefore, there is a crucial need to address food insecurity as a priority in food policies.
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Affiliation(s)
- Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.,Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, Iran
| | - Leila Moosavi Jahromi
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Montazeri
- Iranian Institute for Health Sciences Research, Tehran, Iran
| | - Nazila Rezaee
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Asghar Haeri Mehrizi
- Health Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran
| | - Mehran Shams-Beyranvand
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,School of Medicine, Dezful University of Medical Sciences, Dezful, Iran
| | | | - Abbas Abbasi-Ghahramanloo
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Maryam Khazaee-Pool
- Department of Health Education and Promotion, School of Health, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Ali Ghanbari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Gholami
- Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.,Department of Epidemiology & Biostatistics, School of Public Health, Neyshabur University of Medical Sciences, Neyshabur, Iran
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Mansori K, Solaymani-Dodaran M, Mosavi-Jarrahi A, Ganbary Motlagh A, Salehi M, Delavari A, Hosseini A, Asadi-Lari M. Determination of effective factors on geographic distribution of the incidence of colorectal cancer in Tehran using geographically weighted Poisson regression model. Med J Islam Repub Iran 2019. [DOI: 10.47176/mjiri.33.23] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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25
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Asadi-Lari M, Moosavi Jahromi L, Montazeri A, Rezaee N, Haeri Mehrizi AA, Shams-Beyranvand M, Vaez-Mahdavi MR, Abbasi-Ghahramanloo A, Khazaee-Pool M, Ghanbari A, Gholami A. Socio-economic risk factors of household food insecurity and their population attributable risk: A population-based study. Med J Islam Repub Iran 2019. [DOI: 10.47176/mjiri.33.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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Rostam Beigi M, Shamshiri AR, Asadi-Lari M, Hessari H, Jafari A. A crossectional investigation of the relationship between complementary health insurance and frequency of dental visits in 15 to 64 years old of Tehran population, Iran, a secondary data analysis (urban HEART-2). BMC Health Serv Res 2019; 19:678. [PMID: 31533819 PMCID: PMC6751603 DOI: 10.1186/s12913-019-4526-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 09/10/2019] [Indexed: 02/07/2023] Open
Abstract
Background This study aimed to investigate the relationship between complementary health insurance and frequency of dental visits. Methods The present study was performed using the Urban Health Equity Assessment and Response Tool (Urban HEART). A cross-sectional study was conducted in Tehran (Iran) to assess inequalities in health status among different socioeconomic and ethnic groups, genders, geographical areas, and social determinants of health. Out of 20,320 records retrieved from the original study with dental information, 17,252 had both dental insurance and dental visit information. Complementary health insurance as the main independent variable had three categories (i.e., basic insurance, with complementary medical coverage, and with dental coverage). The frequency of dental visits during the last year as a dependent variable had also three categories (i.e., no visit, one, and two, or more dental visits in the last year). In this study, in addition to investigating the relationship between complementary health insurance and frequency of dental visits, potential covariates that may affect the mentioned relationship were evaluated in the regression model. Statistical analyses included simple and multiple multinomial logistic regression considering the sampling method and sampling weights. Results The meanage of 17,252 participants (Tehran citizens) was 39.36 years; 49.4%were women, 86.0%hadonly basicinsurance, 7.2% had complementary medical insurance, and 6.8% had complementary dental insurance. Of all subjects, 43.8% reported no dental visit, 26.1% reported one, and 30.1% reportedtwoor more dental visits during the lastyear. The frequency of dental visits was lower in people who had basic insurance than others such that that odds ratio (OR) was 0.73 (p-value < 0.001) for one visit and 0.68 (p-value< 0.001) for two or more visits in the last year. The frequency of dental visits was also positively associated with dental brushing, toothpaste use, high educational level, being married, having more than 20 teeth, and having dental pain. Conclusion Having dental insurance increases the frequency of dental visits but the association between dental insurance and dental visits was independently influenced by other predictors.
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Affiliation(s)
- Morteza Rostam Beigi
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Reza Shamshiri
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.,Research Center for Caries Prevention, Dentistry Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Hossein Hessari
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.,Research Center for Caries Prevention, Dentistry Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jafari
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran. .,Research Center for Caries Prevention, Dentistry Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Mansori K, Solaymani-Dodaran M, Mosavi-Jarrahi A, Motlagh AG, Salehi M, Delavari A, Hosseini A, Asadi-Lari M. Determination of effective factors on geographic distribution of the incidence of colorectal cancer in Tehran using geographically weighted Poisson regression model. Med J Islam Repub Iran 2019; 33:23. [PMID: 31380313 PMCID: PMC6662539 DOI: 10.34171/mjiri.33.23] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Indexed: 01/05/2023] Open
Abstract
Background: This study aimed to determine effective factors on geographic distribution of the Incidence of Colorectal Cancer (CRC) in Tehran, Iran using Geographically Weighted Poisson Regression Model. Methods: This ecological study was carried out at neighborhood level of Tehran in 2017-2018. Data for CRC incidence was extracted from the population-based cancer registry data of Iran. The socioeconomic variables, risk factors and health costs were extracted from the Urban HEART Study in Tehran. Geographically weighted Poisson regression model was used for determination of the association between these variables with CRC incidence. GWR 4, Stata 14 and ArcGIS 10.3 software systems were used for statistical analysis. Results: The total number of incident CRC cases were 2815 in Tehran from 2008 to 2011, of whom, 2491 cases were successfully geocoded to the neighborhood. The median IRR for local variables were : unemployed people over 15 year old (median IRR: 1.17), women aged 17 years or older with university education (median IRR: 1.17), women head of household (median IRR: 1.06), people without insurance coverage (median IRR: 1.10), households without daily consumption of milk (median IRR: 0.85), smoking households (median IRR: 1.07), household's health expenditure (median IRR: 1.39), disease diagnosis costs (median IRR: 1.03), medicines costs of households (median IRR: 1.05), cost of the hospital (median IRR: 1.09), cost of medical visits (median IRR: 1.27). Conclusion: The spatial variability was observed for most socioeconomic variables, risk factors and health costs that had effects on CRC incidence in Tehran. Spatial variability is necessary when interpreting the results and utterly helpful for implementation of prevention programs.
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Affiliation(s)
- Kamyar Mansori
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.,Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Solaymani-Dodaran
- Minimally Invasive Surgery Research Center, Rasoul Akram Hospital, Iran University of Medical Science, Tehran, Iran
| | - Alireza Mosavi-Jarrahi
- Department of Health and Community Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Ganbary Motlagh
- Department of Radiotherapy, Shahid Baheshti University of Medical Sciences, Tehran Iran
| | - Masoud Salehi
- Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Alireza Delavari
- Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Hosseini
- Department of Geography and Urban Planning, University of Tehran, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.,Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, Iran
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Karimi Jaberi M, Gholami A, Cheraghian B, Abolghasemi J, Solaymani-Dodaran M, Madani AH, Ashouri Y, Darabi M, Moosapoor S, Asadi-Lari M. Survival rate of patients with gastric cancer in Hormozgan Province, Iran. Med J Islam Repub Iran 2019; 33:74. [PMID: 31696068 PMCID: PMC6825376 DOI: 10.34171/mjiri.33.74] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Indexed: 12/11/2022] Open
Abstract
Background: Gastric cancer is the fourth most common form of cancer and the second most common cause of death in the world. It is also one of the most common cancers leading to mortality in Iran. Therefore, this study aimed to determine the survival rate of patients with gastric cancer and its affecting factors in the south of Iran (Hormozgan province). Methods: In this study, all patients with gastric cancer (119 patients) that were diagnosed and registered during 2008 to 2013 in Hormozgan province, were studied. All patients were followed to the end of 2015. Kaplan-Meier method and Cox proportional hazards model were used to draw survival curves and to determine the effective factors on the survival rate of surveyed patients. Moreover, Log-rank test was used to evaluate whether or not survival curves for different groups are statistically equivalent (p<0.05). Results: The mean age of the study population was 58.9±14.91, and most of them were men (72.3% (86 persons)). After diagnosis, the survival rates for 1, 2, 3, 4, and 5 years were 62.2%, 49.4%, 43.7%, 39.7%, and 38% respectively. Survival in men were lower than women, but according to log-rank test this difference was not statistically significant (p=0.325). Also patients with advanced stage cancer had significantly lower survival in comparison to individuals with early stage disease (p<0.001). Based on multiple Cox proportional hazards model, job status of the patients and stage of cancer were effective factors on patients’ survival. Conclusion: Based on the findings of the present study, the survival rate was decreased over time after diagnosis. Stage of a cancer at the time of diagnosis is the most important factor affecting the survival of surveyed patients. This shows that there is a crucial need to diagnos the gastric cancer in early stages.
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Affiliation(s)
- Maryam Karimi Jaberi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Gholami
- Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.,Department of Epidemiology and Biostatistics, School of Public Health, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Bahman Cheraghian
- Department of Internal Medicine, Faculty of Medicine, Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Jamile Abolghasemi
- Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Solaymani-Dodaran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Abdol Hossein Madani
- Research Center for Social Determinants in Health Promotion, Hormozgan University of Medical Science, Bandar Abbas, Iran
| | - Yaghoub Ashouri
- Department of radiation oncology, Omid center, Hormozgan University of Medical Science, Bandar Abbas, Iran
| | - Mehdi Darabi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Solayman Moosapoor
- Vice chancellor of Health, Hormozgan University of Medical Science, Bandar Abbas, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.,Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, Iran
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Farahani LA, Parvizy S, Asadi-Lari M, Mohammadi E, Azghadi BH, Taghizadeh Z. Study protocol for promoting physical activity among women based on the MAPP process. East Mediterr Health J 2019; 24:1074-1081. [PMID: 30701522 DOI: 10.26719/2018.24.11.1074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 08/15/2017] [Indexed: 11/09/2022]
Abstract
Background The participation of all stakeholders is necessary when a community-based intervention is designed. For running a practical intervention, it is necessary to have a framework to design the programme while considering all stages of planning, implementation and evaluation. Aims To describe a study protocol based on the MAPP process (Mobilizing for Action through Planning and Partnerships) for promoting physical activity (PA). Methods This protocol is implemented in 6 distinct phases. The goal of the first and second phase is to organize the programme and increase participation, and to determine the vision of the programme, respectively. The third phase provides a comprehensive picture of a community. The fourth and fifth phases identify strategies for the programme. The sixth phase is about the action cycle. Conclusion The framework considers all factors on PA improvement and, consequently, results in a culture-based programme for women.
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Affiliation(s)
- Leila Amiri Farahani
- Department of Reproductive Health and Midwifery, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Soroor Parvizy
- Department of Pediatric Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Mohsen Asadi-Lari
- Oncopathology Research Centre, IUMS, Tehran, Islamic Republic of Iran
| | - Eesa Mohammadi
- Department of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Islamic Republic of Iran
| | - Batool Hasanpoor Azghadi
- Department of Reproductive Health and Midwifery, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Ziba Taghizadeh
- Nursing and Midwifery Care Research Center, Nursing and Midwifery School, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
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Rezaei N, Asadi-Lari M, Sheidaei A, Khademi S, Gohari K, Delavari F, Delavari A, Abdolhamidi E, Chegini M, Rezaei N, Jamshidi H, Bahrami Taghanaki P, Hasan M, Yoosefi M, FarzadFar F. Liver cirrhosis mortality at national and provincial levels in Iran between 1990 and 2015: A meta regression analysis. PLoS One 2019; 14:e0198449. [PMID: 30645598 PMCID: PMC6333345 DOI: 10.1371/journal.pone.0198449] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 05/18/2018] [Indexed: 12/29/2022] Open
Abstract
Background Liver cirrhosis mortality number has increased over the last decades. We aimed to estimate the liver cirrhosis mortality rate and its trends for the first time by sex, age, geographical distribution, and cause in Iran. Method Iranian Death Registration System, along with demographic (Complete and Summary Birth History, Maternal Age Cohort and Period methods) and statistical methods (Spatio-temporal and Gaussian process regression models) were used to address the incompleteness and misclassification and uncertainty of death registration system to estimate annual cirrhosis mortality rate. Percentages of deaths were proportionally redistributed into cirrhosis due to hepatitis B, C and alcohol use based on the data from the Global Burden of Disease (GBD) 2010 study. Results Liver cirrhosis mortality in elder patients was 12 times higher than that in younger patients at national level in 2015. Over the 26 years, liver cirrhosis mortality in males has increased more than that in females. Plus, the percentage of change in age adjusted mortality rate at provincial levels varied between decreases of 64.53% to nearly 17% increase. Mortality rate has increased until 2002 and then decreased until 2015.The province with highest mortality rate in 2015 has nearly two times greater rate compare to the lowest. More than 60% of liver cirrhosis mortality cases at national level are caused by hepatitis B and C infection. The rate of hepatitis B mortality is four times more than that from hepatitis C. Conclusion This study demonstrated an increasing and then decreasing pattern in cirrhosis mortality that could be due to national vaccination of hepatitis B program. However monitoring, early detection and treatment of risk factors of cirrhosis, mainly in high risk age groups and regions are essential. Cirrhosis mortality could be diminished by using new non-invasive methods of cirrhosis screening, hepatitis B vaccination, definite treatment of hepatitis C.
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Affiliation(s)
- Negar Rezaei
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Sheidaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sara Khademi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kimiya Gohari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farnaz Delavari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Delavari
- Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Elham Abdolhamidi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Chegini
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nazila Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Jamshidi
- School of Medicine, Dep. Of Pharmacology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Milad Hasan
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moein Yoosefi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad FarzadFar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- * E-mail:
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Salman Roghani R, Delbari A, Asadi-Lari M, Rashedi V, Lökk J. Neuropathic Pain Prevalence of Older Adults in an Urban Area of Iran: A Population-Based Study. Pain Res Treat 2019; 2019:9015695. [PMID: 30719350 PMCID: PMC6334371 DOI: 10.1155/2019/9015695] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 11/02/2018] [Accepted: 11/22/2018] [Indexed: 11/17/2022]
Abstract
BACKGROUND Pain prevalence would increase as the population grows older, but the exact prevalence rate is not apparent in Iran. OBJECTIVES This study, therefore, set out to reveal the prevalence of pain, especially neuropathic type and explore its associated comorbidities among Iranian older adults in a large urban population-based survey. METHODS 5326 older people, aged ≥ 60 years, were randomly chosen by a multistage, cluster sampling method. The selected people then were interviewed by using the following instruments: a standard questionnaire about pain, questions of interview part of Douleur Neuropathique 4 Questions (DN4) and its comorbidities, GHQ-28, and a sociodemographic checklist. Descriptive statistics and multiple regression analysis were conducted to analyze the gathered data. RESULTS The average of the participants' age was 68.92 ± 7.02 years. Of 5326 participants, 2529 (47.5%) of participants were male. About one-third of this population had chronic pain. Chronic neuropathic pain prevalence was 13.7% and nociceptive in 30%. Knee pain (20.6%) and feet dysesthesia (7.8%) were the most common sites of nociceptive and neuropathic pain, respectively. Results of multiple regression analysis revealed that the major comorbidities of chronic pain were osteoporosis, disability, diabetes mellitus, and stroke. Neuropathic pain experiences were significantly associated with GHQ-28 scores (t=-11.42, P<0.001). CONCLUSIONS In addition to neuropathic pain, other subtypes of pain prevalence and the comorbidities are determined in the community-dwelling elder adults. This study highlights the importance of neuropathic pain and its adverse consequences and can be used to manage this populations' needs in Iran effectively.
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Affiliation(s)
- Reza Salman Roghani
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden
- Physical Medicine and Rehabilitation Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ahmad Delbari
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden
- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Vahid Rashedi
- School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran
| | - Johan Lökk
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden
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Dicker D, Nguyen G, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdollahpour I, Abdulkader RS, Abdurahman AA, Abebe HT, Abebe M, Abebe Z, Abebo TA, Aboyans V, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya P, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshin A, Agarwal G, Aggarwal R, Aghayan SA, Agrawal S, Agrawal A, Ahmadi M, Ahmadi A, Ahmadieh H, Ahmed MLCB, Ahmed S, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alebel A, Aleman AV, Alene KA, Al-Eyadhy A, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen CA, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Anlay DZ, Ansari H, Ansariadi A, Ansha MG, Antonio CAT, Appiah SCY, Aremu O, Areri HA, Ärnlöv J, Arora M, Artaman A, Aryal KK, Asadi-Lari M, Asayesh H, Asfaw ET, Asgedom SW, Assadi R, Ataro Z, Atey TMM, Athari SS, Atique S, Atre SR, Atteraya MS, Attia EF, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awuah B, Ayala Quintanilla BP, Ayele HT, Ayele Y, Ayer R, Ayuk TB, Azzopardi PS, Azzopardi-Muscat N, Badali H, Badawi A, Balakrishnan K, Bali AG, Banach M, Banstola A, Barac A, Barboza MA, Barquera S, Barrero LH, Basaleem H, Bassat Q, Basu A, Basu S, Baune BT, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay AG, Belay E, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berhane A, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhala N, Bhatia E, Bhatt S, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Bijani A, Bikbov B, Bililign N, Bin Sayeed MS, Birlik SM, Birungi C, Bisanzio D, Biswas T, Bjørge T, Bleyer A, Basara BB, Bose D, Bosetti C, Boufous S, Bourne R, Brady OJ, Bragazzi NL, Brant LC, Brazinova A, Breitborde NJK, Brenner H, Britton G, Brugha T, Burke KE, Busse R, Butt ZA, Cahuana-Hurtado L, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cárdenas R, Carreras G, Carrero JJ, Carter A, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castro F, Catalá-López F, Çavlin A, Cerin E, Chaiah Y, Champs AP, Chang HY, Chang JC, Chattopadhyay A, Chaturvedi P, Chen W, Chiang PPC, Chimed-Ochir O, Chin KL, Chisumpa VH, Chitheer A, Choi JYJ, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Claro RM, Cohen AJ, Collado-Mateo D, Constantin MM, Conti S, Cooper C, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cucu A, Cunningham M, Daba AK, Dachew BA, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Das Gupta R, das Neves J, Dasa TT, Dash AP, Weaver ND, Davitoiu DV, Davletov K, Dayama A, Courten BD, De la Hoz FP, De leo D, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Dellavalle RP, Demoz GT, Demtsu BB, Denova-Gutiérrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dhimal M, Ding EL, Djalalinia S, Doku DT, Dolan KA, Donnelly CA, Dorsey ER, Douwes-Schultz D, Doyle KE, Drake TM, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, Eggen AE, El Bcheraoui C, El Sayed Zaki M, Elfaramawi M, El-Khatib Z, Ellingsen CL, Elyazar IRF, Enayati A, Endries AYY, Er B, Ermakov SP, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Esteghamati S, Fakhar M, Fakhim H, Farag T, Faramarzi M, Fareed M, Farhadi F, Farid TA, Farinha CSES, Farioli A, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Fazeli MS, Feigin VL, Feigl AB, Feizy F, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Feyissa GT, Fijabi DO, Filip I, Finegold S, Fischer F, Flor LS, Foigt NA, Ford JA, Foreman KJ, Fornari C, Frank TD, Franklin RC, Fukumoto T, Fuller JE, Fullman N, Fürst T, Furtado JM, Futran ND, Galan A, Gallus S, Gambashidze K, Gamkrelidze A, Gankpe FG, Garcia-Basteiro AL, Garcia-Gordillo MA, Gebre T, Gebre AK, Gebregergs GB, Gebrehiwot TT, Gebremedhin AT, Gelano TF, Gelaw YA, Geleijnse JM, Genova-Maleras R, Gessner BD, Getachew S, Gething PW, Gezae KE, Ghadami MR, Ghadimi R, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghiasvand H, Ghimire M, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Giussani G, Goenka S, Goli S, Gomez RS, Gomez-Cabrera MC, Gómez-Dantés H, Gona PN, Goodridge A, Gopalani SV, Goto A, Goulart AC, Goulart BNG, Grada A, Grosso G, Gugnani HC, Guimaraes ALS, Guo Y, Gupta PC, Gupta R, Gupta R, Gupta T, Gyawali B, Haagsma JA, Hachinski V, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Harb HL, Harikrishnan S, Haririan H, Haro JM, Hasan M, Hassankhani H, Hassen HY, Havmoeller R, Hay RJ, Hay SI, He Y, Hedayatizadeh-Omran A, Hegazy MI, Heibati B, Heidari M, Hendrie D, Henok A, Henry NJ, Heredia-Pi I, Herteliu C, Heydarpour F, Heydarpour P, Heydarpour S, Hibstu DT, Hoek HW, Hole MK, Homaie Rad E, Hoogar P, Horino M, Hosgood HD, Hosseini SM, Hosseinzadeh M, Hostiuc S, Hostiuc M, Hotez PJ, Hoy DG, Hsairi M, Htet AS, Hu G, Huang JJ, Husseini A, Hussen MM, Hutfless S, Iburg KM, Igumbor EU, Ikeda CT, Ilesanmi OS, Iqbal U, Irvani SSN, Isehunwa OO, Islam SMS, Islami F, Jahangiry L, Jahanmehr N, Jain R, Jain SK, Jakovljevic M, James SL, Javanbakht M, Jayaraman S, Jayatilleke AU, Jee SH, Jeemon P, Jha RP, Jha V, Ji JS, Johnson SC, Jonas JB, Joshi A, Jozwiak JJ, Jungari SB, Jürisson M, K M, Kabir Z, Kadel R, Kahsay A, Kahssay M, Kalani R, Kapil U, Karami M, Karami Matin B, Karch A, Karema C, Karimi N, Karimi SM, Karimi-Sari H, Kasaeian A, Kassa GM, Kassa TD, Kassa ZY, Kassebaum NJ, Katibeh M, Katikireddi SV, Kaul A, Kawakami N, Kazemeini H, Kazemi Z, Karyani AK, K C P, Kebede S, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kereselidze M, Khader YS, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan EA, Khan G, Khan MS, Khan MA, Khang YH, Khanna T, Khater MM, Khatony A, Khazaie H, Khoja AT, Khosravi A, Khosravi MH, Khubchandani J, Kiadaliri AA, Kibret GDD, Kim CI, Kim D, Kim JY, Kim YE, Kimokoti RW, Kinfu Y, Kinra S, Kisa A, Kissimova-Skarbek K, Kissoon N, Kivimäki M, Kleber ME, Knibbs LD, Knudsen AKS, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Kosek MN, Kosen S, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Krishnaswami S, Kuate Defo B, Kucuk Bicer B, Kudom AA, Kuipers EJ, Kulikoff XR, Kumar GA, Kumar M, Kumar P, Kumsa FA, Kutz MJ, Lad SD, Lafranconi A, Lal DK, Lalloo R, Lam H, Lami FH, Lan Q, Langan SM, Lansingh VC, Lansky S, Larson HJ, Laryea DO, Lassi ZS, Latifi A, Lavados PM, Laxmaiah A, Lazarus JV, Lebedev G, Lee PH, Leigh J, Leshargie CT, Leta S, Levi M, Li S, Li Y, Li X, Liang J, Liang X, Liben ML, Lim LL, Lim SS, Limenih MA, Linn S, Liu S, Liu Y, Lodha R, Logroscino G, Lonsdale C, Lorch SA, Lorkowski S, Lotufo PA, Lozano R, Lucas TCD, Lunevicius R, Lyons RA, Ma S, Mabika C, Macarayan ERK, Mackay MT, Maddison ER, Maddison R, Madotto F, Magdy Abd El Razek H, Magdy Abd El Razek M, Maghavani DP, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malik MA, Malta DC, Mamun AA, Manamo WA, Manda AL, Mansournia MA, Mantovani LG, Mapoma CC, Marami D, Maravilla JC, Marcenes W, Marina S, Martinez-Raga J, Martins SCO, Martins-Melo FR, März W, Marzan MB, Mashamba-Thompson TP, Masiye F, Massenburg BB, Maulik PK, Mazidi M, McGrath JJ, McKee M, Mehata S, Mehendale SM, Mehndiratta MM, Mehrotra R, Mehta KM, Mehta V, Mekonen T, Mekonnen TC, Meles HG, Meles KG, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miangotar Y, Miazgowski B, Miazgowski T, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Misganaw AT, Moazen B, Moges NA, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammadi-Khanaposhtani M, Mohammadnia-Afrouzi M, Mohammed S, Mohammed MA, Mohan V, Mokdad AH, Molokhia M, Monasta L, Moradi G, Moradi M, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Moreno Velásquez I, Morgado-da-Costa J, Morrison SD, Mosapour A, Moschos MM, Mousavi SM, Muche AA, Muchie KF, Mueller UO, Mukhopadhyay S, Mullany EC, Muller K, Murhekar M, Murphy TB, Murthy GVS, Murthy S, Musa J, Musa KI, Mustafa G, Muthupandian S, Nachega JB, Nagel G, Naghavi M, Naheed A, Nahvijou A, Naik G, Nair S, Najafi F, Nangia V, Nansseu JR, Nascimento BR, Nawaz H, Ncama BP, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngalesoni FN, Ngunjiri JW, Nguyen HT, Nguyen HT, Nguyen LH, Nguyen M, Nguyen TH, Ningrum DNA, Nirayo YL, Nisar MI, Nixon MR, Nolutshungu N, Nomura S, Norheim OF, Noroozi M, Norrving B, Noubiap JJ, Nouri HR, Nourollahpour Shiadeh M, Nowroozi MR, Nsoesie EO, Nyasulu PS, Ofori-Asenso R, Ogah OS, Ogbo FA, Oh IH, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olivares PR, Olusanya BO, Olusanya JO, Ong SK, Opio JN, Oren E, Ortiz JR, Ortiz A, Ota E, Otstavnov SS, Øverland S, Owolabi MO, Oyekale AS, P A M, Pacella R, Pakhale S, Pakhare AP, Pana A, Panda BK, Panda-Jonas S, Pandey AR, Pandian JD, Parisi A, Park EK, Parry CDH, Parsian H, Patel S, Patle A, Patten SB, Patton GC, Paudel D, Pearce N, Peprah EK, Pereira A, Pereira DM, Perez KM, Perico N, Pervaiz A, Pesudovs K, Petri WA, Petzold M, Phillips MR, Pigott DM, Pillay JD, Pirsaheb M, Pishgar F, Plass D, Polinder S, Pond CD, Popova S, Postma MJ, Pourmalek F, Pourshams A, Poustchi H, Prabhakaran D, Prakash V, Prakash S, Prasad N, Qorbani M, Quistberg DA, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi K, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rahman MA, Rahman SU, Rai RK, Rajati F, Rajsic S, Raju SB, Ram U, Ranabhat CL, Ranjan P, Ranta A, Rasella D, Rawaf DL, Rawaf S, Ray SE, Razo-García C, Rego MAS, Rehm J, Reiner RC, Reinig N, Reis C, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Rezai MS, Riahi SM, Ribeiro ALP, Riojas H, Rios-Blancas MJ, Roba KT, Robinson SR, Roever L, Ronfani L, Roshandel G, Roshchin DO, Rostami A, Rothenbacher D, Rubagotti E, Ruhago GM, Saadat S, Sabde YD, Sachdev PS, Saddik B, Sadeghi E, Moghaddam SS, Safari H, Safari Y, Safari-Faramani R, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi HS, Salahshoor MR, Salam N, Salama JS, Salamati P, Saldanha RDF, Salimi Y, Salimzadeh H, Salz I, Sambala EZ, Samy AM, Sanabria J, Sanchez-Niño MD, Santos IS, Santos JV, Santric Milicevic MM, Sao Jose BP, Sardana M, Sarker AR, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Savic M, Sawant AR, Sawhney M, Saxena S, Sayyah M, Scaria V, Schaeffner E, Schelonka K, Schmidt MI, Schneider IJC, Schöttker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Sekerija M, Sepanlou SG, Serván-Mori E, Shabaninejad H, Shackelford KA, Shafieesabet A, Shaheen AA, 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Temsah MH, Temsah O, Terkawi AS, Teshale MY, Tessema B, Teweldemedhin M, Thakur JS, Thankappan KR, Thirunavukkarasu S, Thomas LA, Thomas N, Thrift AG, Tilahun B, To QG, Tobe-Gai R, Tonelli M, Topor-Madry R, Topouzis F, Torre AE, Tortajada-Girbés M, Tovani-Palone MR, Towbin JA, Tran BX, Tran KB, Tripathi S, Tripathy SP, Truelsen TC, Truong NT, Tsadik AG, Tsilimparis N, Tudor Car L, Tuzcu EM, Tyrovolas S, Ukwaja KN, Ullah I, Usman MS, Uthman OA, Uzun SB, Vaduganathan M, Vaezi A, Vaidya G, Valdez PR, Varavikova E, Varughese S, Vasankari TJ, Vasconcelos AMN, Venketasubramanian N, Vidavalur R, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vujcic IS, Wagner GR, Wagnew FWS, Waheed Y, Wang Y, Wang YP, Wassie MM, Weiderpass E, Weintraub RG, Weiss DJ, Weiss J, Weldegebreal F, Weldegwergs KG, Werdecker A, Westerman R, Whiteford HA, Widecka J, Widecka K, Wijeratne T, Winkler AS, Wiysonge CS, Wolfe CDA, Wondemagegn SA, Wu S, Wyper GMA, Xu G, Yadav R, Yakob B, Yamada T, Yan LL, Yano Y, Yaseri M, Yasin YJ, Ye P, Yearwood JA, Yentür GK, Yeshaneh A, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, York HW, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zachariah G, Zadnik V, Zafar S, Zaidi Z, Zaman SB, Zamani M, Zare Z, Zeeb H, Zeleke MM, Zenebe ZM, Zerfu TA, Zhang K, Zhang X, Zhou M, Zhu J, Zodpey S, Zucker I, Zuhlke LJJ, Lopez AD, Gakidou E, Murray CJL. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1684-1735. [PMID: 30496102 PMCID: PMC6227504 DOI: 10.1016/s0140-6736(18)31891-9] [Citation(s) in RCA: 575] [Impact Index Per Article: 95.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 07/14/2018] [Accepted: 08/08/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. METHODS The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. FINDINGS Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. INTERPRETATION This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. FUNDING Bill & Melinda Gates Foundation.
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Asadi-Lari M, Salimi Y, Vaez-Mahdavi MR, Faghihzadeh S, Haeri Mehrizi AA, Jorjoran Shushtari Z, Cheraghian B. Socio-Economic Status and Prevalence of Self-Reported Osteoporosis in Tehran: Results from a Large Population-Based Cross-Sectional Study (Urban HEART-2). J Urban Health 2018; 95:682-690. [PMID: 29637433 PMCID: PMC6181817 DOI: 10.1007/s11524-018-0246-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Osteoporosis is a widespread disease among older peoples. The aim of this study is to estimate the prevalence of self-reported osteoporosis and assessing its association with socio-economic status. A population-based cross-sectional study was conducted in Tehran, Iran in 2011. Participants were 45,990 individuals aged above 20 years from 22 urban districts. Osteoporosis was measured by self-administrative questionnaire. Wealth index was constructed using principal component analysis based on household assets. Chi-square test, chi square test for trend, and crude odds ratio were used to assess associations in univariate analysis. Multiple logistic regression utilized to estimate adjusted associations between self-reported osteoporosis and socio-economic status.The overall estimated prevalence of self-reported osteoporosis was 4% (95% CI 3.88-4.13), 1.19% in men, and 6.84% in women (P < 0.001). The prevalence increased considerably as age increased (P for trend < 0.001). In multivariable analysis, education and wealth status were negative, and smoking was positively associated with the prevalence of self-reported osteoporosis. No association was found between participants' skill levels and Townsend deprivation index with the prevalence of self-reported osteoporosis.The findings of the present study have improved understanding of the association between socioeconomic status and osteoporosis in the Iranian population. It is important to consider socioeconomic status in screening and prevention programs.
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Affiliation(s)
- M Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, Iran
| | - Y Salimi
- Department of Epidemiology and Biostatistics, School of Public Health, Kermanshah University of Medical Science, Kermanshah, Iran
| | | | - S Faghihzadeh
- Department of Social Medicine, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - A A Haeri Mehrizi
- Health Education and Promotion Research Group, Health Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran
| | - Z Jorjoran Shushtari
- Determinants of Health, Social Determinants of Health Research Centre, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Bahman Cheraghian
- Department of Epidemiology and Biostatistics, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Naghavi M, Marczak LB, Kutz M, Shackelford KA, Arora M, Miller-Petrie M, Aichour MTE, Akseer N, Al-Raddadi RM, Alam K, Alghnam SA, Antonio CAT, Aremu O, Arora A, Asadi-Lari M, Assadi R, Atey TM, Avila-Burgos L, Awasthi A, Ayala Quintanilla BP, Barker-Collo SL, Bärnighausen TW, Bazargan-Hejazi S, Behzadifar M, Behzadifar M, Bennett JR, Bhalla A, Bhutta ZA, Bilal AI, Borges G, Borschmann R, Brazinova A, Campuzano Rincon JC, Carvalho F, Castañeda-Orjuela CA, Dandona L, Dandona R, Dargan PI, De Leo D, Dharmaratne SD, Ding EL, Phuc Do H, Doku DT, Doyle KE, Driscoll TR, Edessa D, El-Khatib Z, Endries AY, Esteghamati A, Faro A, Farzadfar F, Feigin VL, Fischer F, Foreman KJ, Franklin RC, Fullman N, Futran ND, Gebrehiwot TT, Gutiérrez RA, Hafezi-Nejad N, Haghparast Bidgoli H, Hailu GB, Haro JM, Hassen HY, Hawley C, Hendrie D, Híjar M, Hu G, Ilesanmi OS, Jakovljevic M, James SL, Jayaraman S, Jonas JB, Kahsay A, Kasaeian A, Keiyoro PN, Khader Y, Khalil IA, Khang YH, Khubchandani J, Ahmad Kiadaliri A, Kieling C, Kim YJ, Kosen S, Krohn KJ, Kumar GA, Lami FH, Lansingh VC, Larson HJ, Linn S, Lunevicius R, Magdy Abd El Razek H, Magdy Abd El Razek M, Malekzadeh R, Carvalho Malta D, Mason-Jones AJ, Matzopoulos R, Memiah PTN, Mendoza W, Meretoja TJ, Mezgebe HB, Miller TR, Mohammed S, Moradi-Lakeh M, Mori R, Nand D, Tat Nguyen C, Le Nguyen Q, Ningrum DNA, Akpojene Ogbo F, Olagunju AT, Patton GC, Phillips MR, Polinder S, Pourmalek F, Qorbani M, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rai RK, Ranabhat CL, Rawaf DL, Rawaf S, Rowhani-Rahbar A, Safdarian M, Safiri S, Sagar R, Salama JS, Sanabria J, Santric Milicevic MM, Sarmiento-Suárez R, Sartorius B, Satpathy M, Schwebel DC, Seedat S, Sepanlou SG, Shaikh MA, Sharew NT, Shiue I, Singh JA, Sisay M, Skirbekk V, Soares Filho AM, Stein DJ, Stokes MA, Sufiyan MB, Swaroop M, Sykes BL, Tabarés-Seisdedos R, Tadese F, Tran BX, Thanh Tran T, Ukwaja KN, Vasankari TJ, Vlassov V, Werdecker A, Ye P, Yip P, Yonemoto N, Younis MZ, Zaidi Z, El Sayed Zaki M, Hay SI, Lim SS, Lopez AD, Mokdad AH, Vos T, Murray CJL. Global Mortality From Firearms, 1990-2016. JAMA 2018; 320:792-814. [PMID: 30167700 PMCID: PMC6143020 DOI: 10.1001/jama.2018.10060] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 06/23/2018] [Indexed: 12/21/2022]
Abstract
Importance Understanding global variation in firearm mortality rates could guide prevention policies and interventions. Objective To estimate mortality due to firearm injury deaths from 1990 to 2016 in 195 countries and territories. Design, Setting, and Participants This study used deidentified aggregated data including 13 812 location-years of vital registration data to generate estimates of levels and rates of death by age-sex-year-location. The proportion of suicides in which a firearm was the lethal means was combined with an estimate of per capita gun ownership in a revised proxy measure used to evaluate the relationship between availability or access to firearms and firearm injury deaths. Exposures Firearm ownership and access. Main Outcomes and Measures Cause-specific deaths by age, sex, location, and year. Results Worldwide, it was estimated that 251 000 (95% uncertainty interval [UI], 195 000-276 000) people died from firearm injuries in 2016, with 6 countries (Brazil, United States, Mexico, Colombia, Venezuela, and Guatemala) accounting for 50.5% (95% UI, 42.2%-54.8%) of those deaths. In 1990, there were an estimated 209 000 (95% UI, 172 000 to 235 000) deaths from firearm injuries. Globally, the majority of firearm injury deaths in 2016 were homicides (64.0% [95% UI, 54.2%-68.0%]; absolute value, 161 000 deaths [95% UI, 107 000-182 000]); additionally, 27% were firearm suicide deaths (67 500 [95% UI, 55 400-84 100]) and 9% were unintentional firearm deaths (23 000 [95% UI, 18 200-24 800]). From 1990 to 2016, there was no significant decrease in the estimated global age-standardized firearm homicide rate (-0.2% [95% UI, -0.8% to 0.2%]). Firearm suicide rates decreased globally at an annualized rate of 1.6% (95% UI, 1.1-2.0), but in 124 of 195 countries and territories included in this study, these levels were either constant or significant increases were estimated. There was an annualized decrease of 0.9% (95% UI, 0.5%-1.3%) in the global rate of age-standardized firearm deaths from 1990 to 2016. Aggregate firearm injury deaths in 2016 were highest among persons aged 20 to 24 years (for men, an estimated 34 700 deaths [95% UI, 24 900-39 700] and for women, an estimated 3580 deaths [95% UI, 2810-4210]). Estimates of the number of firearms by country were associated with higher rates of firearm suicide (P < .001; R2 = 0.21) and homicide (P < .001; R2 = 0.35). Conclusions and Relevance This study estimated between 195 000 and 276 000 firearm injury deaths globally in 2016, the majority of which were firearm homicides. Despite an overall decrease in rates of firearm injury death since 1990, there was variation among countries and across demographic subgroups.
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Affiliation(s)
- Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Laurie B Marczak
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Michael Kutz
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - Megha Arora
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Molly Miller-Petrie
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - Nadia Akseer
- Centre for Global Child Health, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Rajaa M Al-Raddadi
- Department of Family and Community Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Khurshid Alam
- School of Population and Global Health, University of Western Australia, Perth, WA, Australia
| | - Suliman A Alghnam
- Department of Population Health, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Carl Abelardo T Antonio
- Department of Health Policy and Administration, University of the Philippines Manila, Manila, Philippines
| | - Olatunde Aremu
- Department of Public and Community Health, Birmingham City University, Birmingham, England
| | - Amit Arora
- School of Science and Health, Western Sydney University, Penrith, NSW, Australia
- Oral Health Services, Sydney Local Health District, Sydney, Australia
| | - Mohsen Asadi-Lari
- Department of Epidemiology and Biostatistics, Iran University of Medical Sciences, Tehran, Iran
- International Relations Department, Iranian Ministry of Health and Medical Education, Tehran, Iran
| | - Reza Assadi
- Education Development Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Leticia Avila-Burgos
- Center of Health System Research, The National Institute of Public Health, Cuernavaca, Mexico
| | - Ashish Awasthi
- Indian Institute of Public Health, Gandhinagar, India
- Public Health Foundation of India, Gurugram, India
| | - Beatriz Paulina Ayala Quintanilla
- The Judith Lumley Centre, La Trobe University, Melbourne, VIC, Australia
- General Office for Research and Technological Transfer, Peruvian National Institute of Health, Lima, Peru
| | | | - Till Winfried Bärnighausen
- Institute of Public Health, Heidelberg University, Heidelberg, Germany
- Department of Global Health and Population, Harvard University, Boston, Massachusetts
| | - Shahrzad Bazargan-Hejazi
- Department of Psychiatry, Charles R. Drew University of Medicine and Science, Los Angeles, California
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles
| | - Masoud Behzadifar
- Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorranmabad, Iran
| | - Meysam Behzadifar
- Faculty of Health and Nutrition, Lorestan University of Medical Sciences, Khorranmabad, Iran
| | - James R Bennett
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Ashish Bhalla
- Department of Internal Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Zulfiqar A Bhutta
- Centre for Global Child Health, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Center of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan
| | - Arebu Issa Bilal
- School of Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia
| | - Guilherme Borges
- Department of Epidemiology, National Institute of Psychiatry Ramón de la Fuente, Mexico City, Mexico
| | - Rohan Borschmann
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Melbourne, VIC, Australia
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | | | - Julio Cesar Campuzano Rincon
- National Institute of Health, Cuernavaca, Mexico
- Escuela de Medicina, Universidad Valle de Cuernavaca, Cuernavaca, Mexico
| | - Félix Carvalho
- Ucibio, Requimte, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Carlos A Castañeda-Orjuela
- Colombian National Health Observatory, Instituto Nacional de Salud, Bogota, Colombia
- Epidemiology and Public Health Evaluation Group, Universidad Nacional de Colombia, Bogota, Colombia
| | - Lalit Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, India
| | - Rakhi Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, India
| | - Paul I Dargan
- Department of Clinical Toxicology, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
- Department of Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Diego De Leo
- Australian Institute for Suicide Research and Prevention, Griffith University, Mt Gravatt, QLD, Australia
| | - Samath Dhamminda Dharmaratne
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Community Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - Eric L Ding
- Harvard School of Public Health, Department of Nutrition, Harvard University, Boston, Massachusetts
| | - Huyen Phuc Do
- Institute for Global Health Innovations, Duy Tan University, Hanoi, Vietnam
| | - David Teye Doku
- Department of Population and Health, University of Cape Coast, Cape Coast, Ghana
- Faculty of Social Sciences, University of Tampere, Tampere, Finland
| | - Kerrie E Doyle
- School of Health and Biomedical Sciences, Royal Melbourne Institute of Technology University (RMIT), Bundoora, VIC, Australia
| | - Tim Robert Driscoll
- Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Dumessa Edessa
- School of Pharmacy, Haramaya University, Harar, Ethiopia
| | - Ziad El-Khatib
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Aman Yesuf Endries
- Department of Public Health, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Andre Faro
- Department of Psychology, Federal University of Sergipe, Sao Cristovao, Brazil
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Valery L Feigin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Florian Fischer
- Department of Public Health Medicine, Bielefeld University, Bielefeld, Germany
| | - Kyle J Foreman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Richard Charles Franklin
- College of Public Health Medical and Veterinary Science, James Cook University, Douglas, QLD, Australia
| | - Nancy Fullman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Neal D Futran
- School of Medicine Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle
| | | | - Reyna Alma Gutiérrez
- Epidemiological and Psychosocial Investigations, National Institute of Psychiatry Ramon de la Fuente, Mexico City, Mexico
| | - Nima Hafezi-Nejad
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | | | | | - Josep Maria Haro
- Research Unit, Parc Sanitari Sant Joan de Déu (CIBERSAM), Sant Boi de Llobregat, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Hamid Yimam Hassen
- Department of Public Health, Mizan-Tepi University, Mizan Teferi, Ethiopia
- Unit of Epidemiology and Social Medicine, University Hospital Antwerp, Wilrijk, Belgium
| | - Caitlin Hawley
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Delia Hendrie
- School of Public Health, Curtin University, Bentley, Perth, WA, Australia
| | - Martha Híjar
- Research Coordination, Fundación Entornos AC, Cuernavaca, Mexico
- CISS, National Institute of Public Health, Cuernavaca, Mexico
| | - Guoqing Hu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | | | | | - Spencer L James
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Sudha Jayaraman
- Department of Surgery, Virginia Commonwealth University, Richmond
| | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
- Capital Medical University, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing Ophthalmology & Visual Science Key Laboratory, Beijing, China
| | - Amaha Kahsay
- Department of Nutrition and Dietetics, Mekelle University, Mekelle, Ethiopia
| | - Amir Kasaeian
- Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Hematologic Malignancies Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Peter Njenga Keiyoro
- School of Continuing and Distance Education, University of Nairobi, Nairobi, Kenya
| | - Yousef Khader
- Public Health and Community Medicine, Jordan University of Science and Technology, Alramtha, Jordan
| | - Ibrahim A Khalil
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Young-Ho Khang
- Department of Health Policy and Management, College of Medicine, Seoul National University, Seoul, South Korea
- Institute of Health Policy and Management, SNU Medical Research Center, Seoul National University, Seoul, South Korea
| | - Jagdish Khubchandani
- Department of Nutrition and Health Science, Ball State University, Muncie, Indiana
| | | | - Christian Kieling
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
- Child & Adolescent Psychiatry Division, Hospital of Clinics of Porto Alegre, Porto Alegre, Brazil
| | - Yun Jin Kim
- School of Medicine, Xiamen University Malaysia, Sepang, Malaysia
| | | | - Kristopher J Krohn
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - G Anil Kumar
- Public Health Foundation of India, Gurugram, India
| | - Faris Hasan Lami
- Department of Community and Family Medicine, Academy of Medical Science, Baghdad, Iraq
| | - Van C Lansingh
- Helpmesee, New York, New York
- Department of International Relations, Mexican Institute of Ophthalmology, Queretaro, Mexico
| | - Heidi Jane Larson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Shai Linn
- School of Public Health, University of Haifa, Haifa, Israel
| | - Raimundas Lunevicius
- General Surgery Department, Aintree University Hospital National Health Service Foundation Trust (NHS), Liverpool, United Kingdom
- School of Medicine, University of Liverpool, Liverpool, United Kingdom
| | | | | | - Reza Malekzadeh
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Deborah Carvalho Malta
- Departamento Materno Infantil e Saúde Publica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Richard Matzopoulos
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Peter T N Memiah
- Department of Public Health, University of West Florida, Pensacola
| | - Walter Mendoza
- Peru Country Office, United Nations Population Fund (UNFPA), Lima, Peru
| | - Tuomo J Meretoja
- Comprehensive Cancer Center, Breast Surgery Unit, Helsinki University Hospital, Helsinki, Finland
- Department of Surgery, University of Helsinki, Helsinki, Finland
| | | | - Ted R Miller
- School of Public Health, Curtin University, Bentley, Perth, WA, Australia
- Pacific Institute for Research & Evaluation, Calverton, Maryland
| | - Shafiu Mohammed
- Institute of Public Health, Heidelberg University, Heidelberg, Germany
- Health Systems and Policy Research Unit, Ahmadu Bello University, Zaria, Nigeria
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Rintaro Mori
- Department of Health Policy, National Center for Child Health and Development, Setagaya, Japan
| | - Devina Nand
- Health Information Unit, Ministry of Health, Suva, Fiji
- Accamargo Cancer Center, São Paulo, Brazil
| | - Cuong Tat Nguyen
- Institute for Global Health Innovations, Duy Tan University, Hanoi, Vietnam
| | - Quyen Le Nguyen
- Institute for Global Health Innovations, Duy Tan University, Hanoi, Vietnam
| | - Dina Nur Anggraini Ningrum
- Public Health Department, Semarang State University, Kota Semarang, Indonesia
- Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan
| | | | - Andrew T Olagunju
- School of Medicine, University of Adelaide, Adelaide, SA, Australia
- Department of Psychiatry, University of Lagos, Lagos, Nigeria
| | - George C Patton
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
- Department of Paediatrics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Michael R Phillips
- Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China
| | - Suzanne Polinder
- Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Farshad Pourmalek
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Afarin Rahimi-Movaghar
- Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran
| | - Vafa Rahimi-Movaghar
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahfuzar Rahman
- Research and Evaluation Division, BRAC (Bangladesh Rehabilitation Assistance Committee), Dhaka, Bangladesh
| | - Rajesh Kumar Rai
- Society for Health and Demographic Surveillance, Suri, India
- Department of Economics, University of Göttingen, Göttingen, Germany
| | - Chhabi Lal Ranabhat
- Institute for Poverty Alleviation and International Development, Yonsei University, South Korea
| | - David Laith Rawaf
- WHO Collaborating Centre for Public Health Education & Training, Imperial College London, London, United Kingdom
- University College London Hospitals, London, United Kingdom
| | - Salman Rawaf
- Department of Primary Care and Public Health, Imperial College London, London, United Kingdom
- Public Health England, London, United Kingdom
| | | | - Mahdi Safdarian
- Sina Trauma and Surgery Center, Iran University of Medical Sciences, Tehran, Iran
| | - Saeid Safiri
- Managerial Epidemiology Research Center, Department of Public Health, School of Nursing and Midwifery, Maragheh University of Medical Sciences, Maragheh, Iran
| | - Rajesh Sagar
- Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Joseph S Salama
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Juan Sanabria
- Department of Surgery, Marshall University, Huntington, West Virginia
- Department of Nutrition and Preventive Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Milena M Santric Milicevic
- Faculty of Medicine, Institute of Social Medicine, Centre School of Public Health and Health Management, University of Belgrade, Belgrade, Serbia
| | - Rodrigo Sarmiento-Suárez
- Department of Health and Society, Faculty of Medicine, Universidad Ciencias Aplicadas y Ambientales, Bogotá, Colombia
| | - Benn Sartorius
- Department of Public Health Medicine, University of Kwazulu-Natal, Durban, South Africa
| | - Maheswar Satpathy
- UGC Centre of Advanced Study in Psychology, Utkal University, Bhubaneswar, India
| | - David C Schwebel
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Sadaf G Sepanlou
- Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | | | - Ivy Shiue
- Instituts Für Medizinische Epidemiologie, Biometrie Und Informatik, Martin Luther University Halle-Wittenberg, Haale, Germany
| | - Jasvinder A Singh
- School of Medicine, University of Alabama at Birmingham
- Department of Epidemiology, University of Alabama at Birmingham
| | - Mekonnen Sisay
- School of Pharmacy, Haramaya University, Harar, Ethiopia
| | | | - Adauto Martins Soares Filho
- Department of Diseases and Noncommunicable Diseases and Health Promotion, Federal Ministry of Health, Brasilia, Brazil
| | - Dan J Stein
- South African Medical Research Council, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | | | | | - Mamta Swaroop
- Department of Surgery, Northwestern University, Chicago, Illinois
| | - Bryan L Sykes
- Department of Criminology, Law, & Society, University of California Irvine
| | | | - Fentaw Tadese
- Department of Public Health, Wollo University, Dessie, Ethiopia
| | - Bach Xuan Tran
- Department of Health Economics, Hanoi Medical University, Hanoi, Vietnam
| | - Tung Thanh Tran
- Institute for Global Health Innovations, Duy Tan University, Hanoi, Vietnam
| | | | | | - Vasily Vlassov
- Department of Health Care Management and Economics, National Research University Higher School of Economics, Moscow, Russia
| | - Andrea Werdecker
- Demographic Change and Ageing, Federal Institute for Population Research, Wiesbaden, Germany
| | - Pengpeng Ye
- Division of Injury Prevention and Mental Health Improvement, National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, China
| | - Paul Yip
- Centre for Suicide Research and Prevention, University of Hong Kong, Hong Kong SAR, China
| | - Naohiro Yonemoto
- Department of Biostatistics, School of Public Health, Kyoto University, Kyoto, Japan
| | - Mustafa Z Younis
- Healthcare Management-Health Economics & Finance/Global Health, Jackson State University, Jackson, Missouri
- Research Center for Public Health, Tsinghua University, Beijing, China
| | - Zoubida Zaidi
- Department of Epidemiology, University Hospital of Setif, Setif, Algeria
- Faculty of Medical Sciences, A.C.S. Medical College and Hospital, Algiers, Algeria
| | | | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Stephen S Lim
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Alan D Lopez
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
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Mansori K, Solaymani-Dodaran M, Mosavi-Jarrahi A, Motlagh AG, Salehi M, Delavari A, Asadi-Lari M. Spatial Inequalities in the Incidence of Colorectal Cancer and Associated Factors in the Neighborhoods of Tehran, Iran: Bayesian Spatial Models. J Prev Med Public Health 2018; 51:33-40. [PMID: 29397644 PMCID: PMC5797719 DOI: 10.3961/jpmph.17.167] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Accepted: 12/11/2017] [Indexed: 02/01/2023] Open
Abstract
Objectives The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models. Methods This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The Besag-York-Mollié (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis. Results The Moran index was statistically significant for all the variables studied (p<0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively. Conclusions Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in atrisk areas.
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Affiliation(s)
- Kamyar Mansori
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Solaymani-Dodaran
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Alireza Mosavi-Jarrahi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Ganbary Motlagh
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Masoud Salehi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Alireza Delavari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Mansori K, Mosavi-Jarrahi A, Ganbary Motlagh A, Solaymani-Dodaran M, Salehi M, Delavari A, Sanjari Moghaddam A, Asadi-Lari M. Exploring Spatial Patterns of Colorectal Cancer in Tehran City, Iran. Asian Pac J Cancer Prev 2018; 19:1099-1104. [PMID: 29699370 PMCID: PMC6031791 DOI: 10.22034/apjcp.2018.19.4.1099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Objectives: Colorectal cancer (CRC) may now be the second most common cancer in the world. The aim of this
study was to determine whether clusters of high and low risk of CRC might exist at the neighborhood level in Tehran
city. Methods: In this study, new cases of CRC provided from Cancer Registry Data of the Management Center of
Ministry of Health and Medical Education of Iran in the period from March 2008 to March 2011 were analyzed. Raw
standardized incidence rates (SIRs) were calculated for CRC in each neighborhood, along with ratios of observed to
expected cases. The York and Mollie (BYM) spatial model was used for smoothing of the estimated raw SIRs. To
discover clusters of high and low CRC incidence a purely spatial scan statistic was applied. Results: A total of 2,815
new cases of CRC were identified and after removal of duplicate cases, 2,491 were geocoded to neighborhoods. The
locations with higher than expected incidence of CRC were northern and central districts of Tehran city. An observed
to expected ratio of 2.57 (p<0.001) was found for districts of 2, 6 and 11, whereas, the lowest ratio of 0.23 (p<0.001)
was apparent for northeast and south areas of the city, including district 4. Conclusions: This study showed that there
is a significant spatial variation in patterns of incidence of CRC at the neighborhood level in Tehran city. Identification
of such spatial patterns and assessment of underlying risk factors can provide valuable information for policymakers
responsible for equitable distribution of healthcare resources.
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Affiliation(s)
- Kamyar Mansori
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
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Rashedi V, Asadi-Lari M, Delbari A, Fadayevatan R, Borhaninejad V, Foroughan M. Prevalence of diabetes type 2 in older adults: Findings from a large population-based survey in Tehran, Iran (Urban HEART-2). Diabetes Metab Syndr 2017; 11 Suppl 1:S347-S350. [PMID: 28314537 DOI: 10.1016/j.dsx.2017.03.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 03/03/2017] [Indexed: 10/20/2022]
Abstract
AIMS Diabetes is a common problem in older adults, as they increasingly comprise a larger proportion of patients newly diagnosed with diabetes. The evidence on the prevalence and distribution of type 2 diabetes (DT2) and its related factors among older adults in Iran is sparse. The aim of the present study was to determine the prevalence of DT2 among Iranian older adults aged ≥60years. MATERIALS AND METHODS The study was part of a comprehensive survey (Urban HEART-2) which was a large population-based cross-sectional study. A multistage cluster random sampling method was used to select the participants in Tehran in 2011. All the participants were interviewed by trained personnel using a standard questionnaire on diabetes as well as a socio-demographic checklist. Logistic regression and chi-square were used to investigate the association between diabetes and the demographic characteristics. RESULTS A total of 15069 older adults were included in this analysis. The mean age of the participants was 68.93±7.27years (SE: 0.059) and the mean of BMI was 26.21±4.40kg/m2 (SE: 0.036). Prevalence of DT2 was 14.4% among Iranian older adults. Factors such as age, being female, high BMI, and education were significantly associated with DT2. CONCLUSION Given the high prevalence of diabetes among older people, more population based research is needed to quantify the ramifications of diabetes, and to monitor the effects of prevention and health system strengthening strategies on the prevalence, treatment, and control of DT2.
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Affiliation(s)
- Vahid Rashedi
- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Delbari
- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institute, Stockholm, Sweden
| | - Reza Fadayevatan
- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Vahidreza Borhaninejad
- Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Mahshid Foroughan
- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran; Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
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Yari A, Nedjat S, Asadi-Lari M, Majdzadeh R. Perceptions about Iranian-Kurds' ethnic-inequality in health. BMC Int Health Hum Rights 2017; 17:24. [PMID: 28899376 PMCID: PMC5596494 DOI: 10.1186/s12914-017-0133-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 09/04/2017] [Indexed: 11/10/2022]
Abstract
BACKGROUND Evidence shows ethnic-inequality is a very effective variable in the Community and individual health associated outcomes. This study focused on gaining a deeper understanding of people's perception on inequality of health in Iranian-Kurds and its determinants. METHODS The study was conducted in the three cities of Marivan, Sanandaj (capital of Kurdistan province in Iran) and Tehran (capital of the country). The study was conducted through 34 in-depth interviews and ten focus group discussions with health services users, academic graduates and health delivery service personnel. RESULTS Consensus on social, mental and physical health inequality did not exist within the study participants. However, there were concerns about differences in healthcare access and utilization. Several participants believed that access to health services and socio-cultural differences of Kurds affected the healthcare utilization. CONCLUSIONS Since, people perceived ethnic-inequality in healthcare access and utilization, ethnicity must be considered as a mandatory stratifier in monitoring health status and a concern during planning health interventions. People's awareness, resources management and allocation are factors requiring more consideration when choosing policy options.
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Affiliation(s)
- Arezoo Yari
- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.,Present address: Kurdistan Research Center for Social Determinants of Health (KRSDH), Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Saharnaz Nedjat
- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.,Knowledge Utilization Research Center (KURC), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- School of Public Health, Iran University of Medical Sciences, Tehran, Iran.,Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Reza Majdzadeh
- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. .,Community Based Participatory Research (CBPR) Center, Tehran University of Medical Sciences, Tehran, Iran.
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Rashedi V, Asadi-Lari M, Foroughan M, Delbari A, Fadayevatan R. Mental Health and Pain in Older Adults: Findings from Urban HEART-2. Community Ment Health J 2017; 53:719-724. [PMID: 28124258 DOI: 10.1007/s10597-017-0082-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Accepted: 01/09/2017] [Indexed: 01/11/2023]
Abstract
Pain is an important component of disability problems, and plays a key role in mental health of older adults. This study aims to investigate the relationship between mental health and pain in older adults of Tehran, Iran. This was a cross-sectional study using data on 5326 older adults aged ≥60 years old from a large population-based survey (Urban HEART-2). A multistage cluster random sampling method was used to select the participants in Tehran, Iran, in 2011. General Health Questionnaire (GHQ-28), pain questionnaire, and socioeconomic questionnaires were used to collect the data. A total of 5326 older adults, 3811 (71.6%) married and 2797 (52.5%) female, were included into the study. The mean age of the participants was 68.92 ± 7.02 years. Mean of GHQ-28 scores in the sample was 51.08 ± 10.94, which indicates of a good level of mental health. The majority of the older adults had knee and back pain (more than 50%). Regardless of the chronicity, time, and the mode of reaction to it, knee and back pain were the highly reported pains among the participants. There was a statistically significant difference between two groups of older adults, with and without pain, in terms of GHQ-28 scores. Multiple regression analysis revealed that there was a relationship between mental health and the following factors: pain in head, shoulder, teeth, upper and lower limbs, education, gender, age, and marital status. Whatever the explanation, the relation of lowered health status to pain in all body parts among older people is considerable. This renders this matter as a top priority in health policy making.
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Affiliation(s)
- Vahid Rashedi
- Iranian Research Center on Aging, Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Mahshid Foroughan
- Iranian Research Center on Aging, Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Ahmad Delbari
- Iranian Research Center on Aging, Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Reza Fadayevatan
- Iranian Research Center on Aging, Department of Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
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Farahani LA, Parvizy S, Mohammadi E, Asadi-Lari M, Kazemnejad A, Hasanpoor-Azgahdy SB, Taghizadeh Z. The psychometric properties of exercise benefits/barriers scale among women. Electron Physician 2017; 9:4780-4785. [PMID: 28894535 PMCID: PMC5586993 DOI: 10.19082/4780] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 03/14/2017] [Indexed: 11/20/2022] Open
Abstract
Background and objective Despite the numerous health benefits of regular physical activity (PA), physical inactivity is a major health issue among women. The goal of the current study was to measure the validity and reliability assessment of the exercise benefits/barriers scale among women between the ages of 18 and 65 years. This study was carried out among women residing in Khoramroudi neighborhood in Tehran between December 2013 and February 2014. Methods In this descriptive, methodological study, 278 women residing in Khoramroudi neighborhood in Tehran between December 2013 and February 2014 completed three questionnaires: the demographic data form, the Exercise Benefits/Barriers Scale. The construct validity, internal consistency, and stability of the study were measured by confirmatory factor analyses, Cronbach’s alpha, and Spearman Brown correlation coefficient by using SPSS 21 and LISREL 8.80, respectively. Results The confirmatory factor analysis showed the Persian version of EBBS was structured well. The Cronbach’s alpha coefficients for the total scale and its subscales were 0.927, 0.94 and 0.82, respectively. Spearman Brown correlation coefficient also showed good test-retest reliability. Conclusion The results of this study verified the reliability and validity of the applied instrument and introduced it as a tool to measure the benefits and barriers of physical activity among Iranian women.
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Affiliation(s)
- Leila Amiri Farahani
- PhD of Reproductive Health, Assistant Professor, Department of Midwifery, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Soroor Parvizy
- PhD of Nursing, Professor, Department of Pediatric Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Eesa Mohammadi
- PhD of Nursing, Professor, Department of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mohsen Asadi-Lari
- MD PhD of Epidemiology, FRIPH, Professor, Oncopathology Research Centre, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Anoshiravan Kazemnejad
- PhD of Biostatistics, Professor, Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Seyede Batool Hasanpoor-Azgahdy
- PhD of Reproductive Health, Assistant Professor, Department of Midwifery, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Ziba Taghizadeh
- PhD of Reproductive Health, Assistant Professor, Faculty Member of Nursing and Midwifery Care Research Center, Nursing and Midwifery School, Tehran University of Medical Sciences, Tehran, Iran
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Moradi-Lakeh M, Sepanlou SG, Karimi SM, Khalili N, Djalalinia S, Karimkhani C, Krohn K, Afshin A, Farzadfar F, Kiadaliri AA, Asadi-Lari M, Asayesh H, Esteghamati AR, Farvid MS, Fereshtehnejad SM, Heydarpour P, Khosravi A, Khubchandani J, Kasaeian A, Rana SM, Mahdavi M, Masoudifarid H, Mohammadi A, Pourmalek F, Qorbani M, Radfar A, Rahimi K, Rahimi-Movaghar V, Roshandel G, Safi S, Salamati P, Tehrani-Banihashemi A, Bazargan-Hejazi S, Vos T, Malekzadeh R, Mokdad AH, Murray CJL, Naghavi M. Trend of Socio-Demographic Index and Mortality Estimates in Iran and its Neighbors, 1990-2015; Findings of the Global Burden of Diseases 2015 Study. Arch Iran Med 2017; 20:419-428. [PMID: 28745903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
BACKGROUND The Global burden of disease and injuries study (GBD 2015) reports expected measures for years of life lost (YLL) based on socio-demographic index (SDI) of countries, as well as the observed measures. In this extended GBD 2015 report, we reviewed total and cause-specific deaths and YLL for Iran and all its neighboring countries between 1990 and 2015. METHODS We extracted data from the GBD 2015 database. Observed YLL measures were calculated by multiplying the number of deaths by standard life expectancy at each age. SDI was a composite index, calculated based on income per capita, average years of schooling, and total fertility rate. The GBD world population was used for age standardization. RESULTS All-ages crude death rate in Iran reduced from 665.6 per 100,000 population (95% uncertainty interval: 599.3-731.6) in 1990 to 487.2 (414.9-566.1) in 2015. The ratio of observed to expected YLL (O/E ratio) for all-causes ranged between 0.54 (Turkey) and 1.95 (Russia) in 2015. For Iran, the all-causes O/E ratio was less than 1 in all years (1990-2015), except 2003. However, cause-specific O/E ratio was more than 1 for some causes, including the top leading causes of YLL (ischemic heart disease, road injuries, and cerebrovascular disorders). Ischemic heart disease was the first or second cause of YLL in all comparator countries except Afghanistan. CONCLUSION The leading YLL causes with high O/E ratios should be prioritized in public health efforts. In addition to research evidence, countries with low O/E ratios should be scrutinized to find feasible innovative interventions.
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Affiliation(s)
- Maziar Moradi-Lakeh
- Department of Community and Family Medicine, Iran University of Medical Sciences, Tehran, Iran, Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Sadaf G Sepanlou
- Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Narjes Khalili
- Department of Community and Family Medicine, Iran University of Medical Sciences, Tehran, Iran, Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Shirin Djalalinia
- Development of Research and Technology Center, Deputy of Research and Technology, Ministry of Health and Medical Education, Tehran, Iran, Non-communicable Diseases Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Chante Karimkhani
- Department of Dermatology, University of Colorado, Aurora, Colorado, USA
| | - Kristopher Krohn
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Ashkan Afshin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Farshad Farzadfar
- Non-communicable Diseases Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Mohsen Asadi-Lari
- Department of Epidemiology, Iran University of Medical Sciences, Tehran, Iran, Cancer Pathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Hamid Asayesh
- Department of Medical Emergencies, Qom University of Medical Sciences, Qom, Iran
| | - Ali Reza Esteghamati
- Endocrinology and Metabolism Research Center, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam S Farvid
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Pouria Heydarpour
- Sina MS Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ardeshir Khosravi
- Deputy for Public Health, Ministry of Health and Medical Education, Tehran, Iran
| | | | - Amir Kasaeian
- Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Mahdi Mahdavi
- National Institute for Health Research, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Alireza Mohammadi
- Neuroscience Research Center, Baqiyatallah University of Medical Science, Tehran, Iran
| | - Farshad Pourmalek
- Department of Urology, School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | | | - Kazem Rahimi
- The George Institute for Global Health, University of Oxford, Oxford, UK
| | - Vafa Rahimi-Movaghar
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Sare Safi
- Ophthalmic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Payman Salamati
- Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Arash Tehrani-Banihashemi
- Department of Community and Family Medicine, Iran University of Medical Sciences, Tehran, Iran, Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Shahrzad Bazargan-Hejazi
- Charles R. Drew University of Medicine and Science, Los Angeles, California, USA, David Geffen School of Medicine, University of California, Los Angeles (UCLA), California, USA
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Reza Malekzadeh
- Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | | | - Mohsen Naghavi
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
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Momeni Z, Pakdaman A, Asadi-Lari M, Vaez-Mahdavi MR, Shamshiri AR, Hessari H. Dental pain and its determinants in an adult population in Tehran, Iran, Urban HEART-2. Community Dent Health 2017; 33:232-236. [PMID: 28509520 DOI: 10.1922/cdh_3818momeni05] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 02/04/2016] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To assess the prevalence of dental pain in the past year among adults in Tehran-Iran, and its determinants. BASIC RESEARCH DESIGN Cross-sectional population study. PARTICIPANTS A sample of 20,322 adults (18-64 years old). METHODS A questionnaire survey was conducted across the 22 districts using the multi-stage random sampling method. Data were analysed applying the complex samples method. Multiple logistic regression analysis was used to adjust the effects of other variables on the outcome variable as dental pain in the past year. RESULTS Overall, 19,645 individuals with a mean age of 39.9 (SD=12.5) years responded. Dental pain in the past year was reported by about one sixth (14%) of subjects and associated with being widowed/divorced (OR 1.45, 95%CI 1.07-1.97, p=0.016), married (OR 1.24, 95%CI 1.04-1.47, p=0.016), Azari minority (OR 1.2, 95%CI 1.05-1.37, p=0.009) and having dental visit in the past year (OR 2.6, 95%CI 2.29-2.95,p⟨0.001). Older subjects (OR 0.76, 95%CI 0.59-0.97, p= 0.029), those with a high economic status (OR 0.84, 95%CI 0.72-0.98, p=0.03), good (OR 0.75, 95%CI 0.58-0.96, p=0.023) or moderate oral health behaviour (OR 0.79, 95%CI 0.62-0.99, p=0.042), and good self-perceived oral health (OR 0.52, 95%CI 0.45-0.61, pp⟨0.001) were less likely to report dental pain. CONCLUSIONS Dental pain in the past year was associated with being married/widowed, being a minority, and visiting a dentist in the past year. Older subjects and those with a high socio-economic status, good/moderate oral health behaviour, and good self-perceived oral health were less likely to report dental pain.
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Affiliation(s)
- Z Momeni
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
| | - A Pakdaman
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran
| | - M Asadi-Lari
- Department of Epidemiology and Oncopathology Research Centre, Iran University of Medical Sciences, Tehran, Iran
| | - M R Vaez-Mahdavi
- Department of Physiology, Shahed University of Medical Sciences, Tehran, Iran
| | - A R Shamshiri
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran; Dental Research Center, Dental Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - H Hessari
- Department of Community Oral Health, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran; Research Center for Caries Prevention (RCCP), Dental Research Institute, Tehran University of Medical Sciences, Tehran, Iran
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Abedzadeh-Kalahroudi M, Razi E, Sehat M, Asadi-Lari M. Return to work after trauma: A survival analysis. Chin J Traumatol 2017; 20:67-74. [PMID: 28365091 PMCID: PMC5392717 DOI: 10.1016/j.cjtee.2016.03.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Revised: 03/12/2016] [Accepted: 03/15/2016] [Indexed: 02/04/2023] Open
Abstract
PURPOSE To evaluate the return to work (RTW) rate, time and predictors among trauma patients using survival analysis. METHODS This cohort study was conducted with a three-month follow-up on 300 trauma patients hospitalized in Shahid Beheshti Hospital, Kashan, Iran in 2014. The data were collected through conducting interviews and referring to patients' medical records during their hospital stay and follow-up information at one & three months after discharge from hospital. Final analysis was conducted on the data retrieved from 273 patients. Data were analyzed by chi-square test, Mann-Whitney U test and survival analysis method. RESULTS The rate of RTW at the end of the first and the third follow-up months was respectively 21.6% and 61.2%. Survival analysis showed that the RTW time (Time between admission to first return to work) was significantly longer among patients with illiteracy, drug abuse, hospitalization history in the intensive care unit, low socioeconomic status, non-insurance coverage, longer hospital stay, multiple and severe injuries as well as severe disability. CONCLUSION Our findings indicated that trauma has profound effects on the rate and time of RTW. Besides disability, many personal and clinical factors can affect the outcome of RTW.
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Affiliation(s)
| | - Ebrahim Razi
- Trauma Research Center, Kashan University of Medical Sciences, Kashan, Iran
| | - Mojtaba Sehat
- Trauma Research Center, Kashan University of Medical Sciences, Kashan, Iran,Corresponding author. Fax: +98 3155620634.
| | - Mohsen Asadi-Lari
- School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Mohammadi Y, Parsaeian M, Mehdipour P, Khosravi A, Larijani B, Sheidaei A, Mansouri A, Kasaeian A, Yazdani K, Moradi-Lakeh M, Kazemi E, Aghamohamadi S, Rezaei N, Chegini M, Haghshenas R, Jamshidi H, Delavari F, Asadi-Lari M, Farzadfar F. Measuring Iran's success in achieving Millennium Development Goal 4: a systematic analysis of under-5 mortality at national and subnational levels from 1990 to 2015. Lancet Glob Health 2017; 5:e537-e544. [PMID: 28363513 DOI: 10.1016/s2214-109x(17)30105-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 02/02/2017] [Accepted: 03/10/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND Child mortality as one of the key Millennium Development Goals (MDG 4-to reduce child mortality by two-thirds from 1990 to 2015), is included in the Sustainable Development Goals (SDG 3, target 2-to reduce child mortality to fewer than 25 deaths per 1000 livebirths for all countries by 2030), and is a key indicator of the health system in every country. In this study, we aimed to estimate the level and trend of child mortality from 1990 to 2015 in Iran, to assess the progress of the country and its provinces toward these goals. METHODS We used three different data sources: three censuses, a Demographic and Health Survey (DHS), and 5-year data from the death registration system. We used the summary birth history data from four data sources (the three censuses and DHS) and used maternal age cohort and maternal age period methods to estimate the trends in child mortality rates, combining the estimates of these two indirect methods using Loess regression. We also used the complete birth history method to estimate child mortality rate directly from DHS data. Finally, to synthesise different trends into a single trend and calculate uncertainty intervals (UI), we used Gaussian process regression. FINDINGS Under-5 mortality rates (deaths per 1000 livebirths) at the national level in Iran in 1990, 2000, 2010, and 2015 were 63·6 (95% UI 63·1-64·0), 38·8 (38·5-39·2), 24·9 (24·3-25·4), and 19·4 (18·6-20·2), respectively. Between 1990 and 2015, the median annual reduction and total overall reduction in these rates were 4·9% and 70%, respectively. At the provincial level, the difference between the highest and lowest child mortality rates in 1990, 2000, and 2015 were 65·6, 40·4, and 38·1 per 1000 livebirths, respectively. Based on the MDG 4 goal, five provinces had not decreased child mortality by two-thirds by 2015. Furthermore, six provinces had not reached SDG 3 (target 2). INTERPRETATION Iran and most of its provinces achieved MDG 4 and SDG 3 (target 2) goals by 2015. However, at the subnational level in some provinces, there is substantial inequity. Local policy makers should use effective strategies to accelerate the reduction of child mortality for these provinces by 2030. Possible recommendations for such strategies include enhancing the level of education and health literacy among women, tackling sex discrimination, and improving incomes for families. FUNDING Iran Ministry of Health and Education.
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Affiliation(s)
- Younes Mohammadi
- Modelling of Noncommunicable Diseases Research Center, Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mahboubeh Parsaeian
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parinaz Mehdipour
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ardeshir Khosravi
- Deputy for Public Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Sheidaei
- Department of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Anita Mansouri
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Kasaeian
- Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Kamran Yazdani
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Department of Community Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Elaheh Kazemi
- Deputy for Public Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Saeide Aghamohamadi
- Deputy for Public Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Nazila Rezaei
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Chegini
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Rosa Haghshenas
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Jamshidi
- Department of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farnaz Delavari
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, and Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Moradi Y, Nasehi M, Asadi-Lari M, Khamseh ME, Baradaran HR. The relationship between social capital components and control of type 2 diabetes: A path analysis model. Med J Islam Repub Iran 2017; 31:21. [PMID: 29445650 PMCID: PMC5804475 DOI: 10.18869/mjiri.31.21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Indexed: 11/15/2022] Open
Abstract
Background: Social capital is an important interpersonal organizational resource that may affect health behaviors and seems to be
an important factor in chronic diseases. Considering the lack of evidence on this topic, in the present study, we aimed at investigating
the association between components of social capital, socioeconomic condition, and controlling Type 2 diabetes mellitus in Iran.
Methods: This study was conducted on 300 patients with Type 2 diabetes in Tehran, Iran. In this study, simple random sampling
method was used for data collection. Path analysis model was used to examine the potential association between social capital components
and to determine the factors that control Type 2 diabetes.
Results: In the present study, most of the participants were female (70.7%) and married (78.7%). Path coefficients were calculated
by a series of multiple regression analyses based on the conceptual model. The final model had a proper fit with Chi-square = 2.08 (DF
= 1, P = 0.049), GFI = 0.542, AGFI = 0.915, NFI = 0.228, RFI = 0.284, IFI = 0.299, TLI = 0.292, CFI = 0.219, and RMSEA = 0.033.
The Groups and networks (network) (β = 0.051, p = 0.036) and trust and solidarity (β = -0.018, p = 0.028) had a direct positive and
negative effect on HbA1C, respectively. The results also revealed that education levels had a direct positive effect on groups and networks
(network) (β = 0.118, p = 0.036), trust and solidarity (β = 0.082, p = 0.007), information and communication (β = 0.037, p =
0.027), and contribution in team works and public activities (β = 0.064, p = 0.003). In addition, education levels had an indirect positive
effect on HbA1C through their effect on groups and networks (network), trust and solidarity, and information and communication.
Conclusion: Social capital has a significant relationship with diabetes. Although it was not specified clearly which components of
social capital were associated with diabetes, trust and solidarity showed a negative direct effect on HbA1C, respectively. Therefore,
developing and implementing local and collective programs to build trust and increase the standards of social trust in patients with
diabetes can be effective in controlling HbA1C.
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Affiliation(s)
- Yousef Moradi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mahshid Nasehi
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Asadi-Lari
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohamad Ebrahim Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Hamid Reza Baradaran
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
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Razmjoee N, Ebadi A, Asadi-Lari M, Hosseini M. Does a “continuous care model” affect the quality of life of patients undergoing coronary artery bypass grafting? Journal of Vascular Nursing 2017; 35:21-26. [DOI: 10.1016/j.jvn.2016.12.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 12/06/2016] [Accepted: 12/10/2016] [Indexed: 10/20/2022]
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Mohammadi SF, Lashay MR, Ashrafi E, Haghdoust AA, Alinia C, Lashay AR, Asadi-Lari M, Mohammadi SM, Hatef E. Distribution of ophthalmologists and optometrists in Islamic Republic of Iran and their associated factors. East Mediterr Health J 2017; 22:880-886. [PMID: 28181663 DOI: 10.26719/2016.22.12.880] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 08/31/2016] [Indexed: 11/09/2022]
Abstract
We aimed to determine the distribution of ophthalmic care providers and its correlation with health and socioeconomic status and health system indicators. Data were gathered from the Iran Medical Council and the Iranian Societies of Ophthalmology and Optometry. Concurrent indicators were collected from the Statistical Center of Iran and national studies. A population-adjusted number of combined ophthalmologists and optometrists was used as the main dependent variable. Optometrist/ophthalmologist ratio was 0.9. We had 1 ophthalmologist and 1 optometrist for every 40 000 and 45 000 individuals, respectively. We observed a direct correlation between the number of ophthalmologists, optometrists and life expectancy at the provincial level. Gross provincial income and expenditure and provincial literacy were correlated as well. Provincial unemployment had a negative correlation. Provincial hospital statistics and population density were also significantly correlated. The Islamic Republic of Iran has met the World Health Organization's desired per capita number of ophthalmologists and optometrists, but there is wide variation in their density.
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Affiliation(s)
- S-F Mohammadi
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran; Chams Research Chair in Public Health Ophthalmology, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - M-R Lashay
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - E Ashrafi
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran; Center for Non-Communicable Diseases Control, Ministry of Health and Medical Education, Tehran, Islamic Republic of Iran
| | - A-A Haghdoust
- Department of Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Islamic Republic of Iran
| | - C Alinia
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran; Center for Non-Communicable Diseases Control, Ministry of Health and Medical Education, Tehran, Islamic Republic of Iran
| | - A-R Lashay
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - M Asadi-Lari
- Department of Epidemiologyand Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - S-M Mohammadi
- Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran; Department of Management Sciences and Health Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - E Hatef
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America
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Kassani A, Baghbanian A, Menati R, Hassanzadeh J, Asadi-Lari M, Menati W. Prevalence of Cigarette Smoking and Associated Factors among Male Citizens in Tehran, Iran. Asian Pac J Cancer Prev 2017; 17:1473-8. [PMID: 27039792 DOI: 10.7314/apjcp.2016.17.3.1473] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cigarette smoking is as the leading cause of cancer mortality and other chronic diseases in males worldwide. The prevalence of cigarette smoking is different across and within countries by age, education level, occupation, and so on. This study aimed to determine the prevalence of cigarette smoking and its relationship with individuals' demographic factors and BMI in adolescent men living in Tehran, Iran. MATERIALS AND METHODS This study involved secondary analysis of the 'Urban Health Equity Assessment and Response Tool-2' survey conducted in Tehran, Iran, among men aged 20+, 2011-2012. Using a multistage sampling method, 45,990 men were included in the study. The cigarette smoking status, BMI and demographic factors measured through a self-administered questionnaire. Chi-square, t-test, and logistic regression model were used to examine the relationships between the independents variables and cigarette smoking behavior, using SPSS software version 21. RESULTS In the total of 45,990 men, the overall prevalence of cigarette smoking was 14.6% (CI 95%: 14.29- 14.94). Age (OR=0.96; CI 95%:0.94-0.98), house ownership (OR=0.68; CI 95%: 0.64-0.72), job status (OR=0.60; CI 95%: 0.46-0.86), marital status (OR=0.42; CI 95%: 0.39-0.47) and educational levels (OR=0.50; CI95%: 0.45-0.54) were associated with the prevalence of cigarette smoking. However, associations with BMI, family size, residency years, and district were not statistically significant. CONCLUSIONS Given the relatively high prevalence of cigarette smoking in the study population, policy interventions are required to address this major public health issue, with a focus on the population demographic influences.
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Affiliation(s)
- Aziz Kassani
- Prevention of Psychosocial Injuries Research Center, Ilam University of Medical Sciences, Ilam, Iran E-mail :
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Hassanzadeh J, Asadi-Lari M, Ghaem H, Kassani A, Rezaianzadeh A. Demographic factors, social capital, and cigarette smoking: a large cross-sectional study in Tehran, Iran. Journal of Substance Use 2016. [DOI: 10.3109/14659891.2015.1112850] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Hassanzadeh J, Asadi-Lari M, Baghbanian A, Ghaem H, Kassani A, Rezaianzadeh A. Association between social capital, health-related quality of life, and mental health: a structural-equation modeling approach. Croat Med J 2016; 57:58-65. [PMID: 26935615 PMCID: PMC4800324 DOI: 10.3325/cmj.2016.57.58] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Aim To explore the association(s) between demographic factors, socioeconomic status (SES), social capital, health-related quality of life (HRQoL), and mental health among residents of Tehran, Iran. Methods The pooled data (n = 31 519) were extracted from a population-based survey Urban Health Equity Assessment and Response Tool-2 (Urban HEART-2) conducted in Tehran in 2011. Mental health, social capital, and HRQoL were assessed using the 28-item General Health Questionnaire (GHQ-28), social capital questionnaire, and Short-Form Health Survey (SF-12), respectively. The study used a multistage sampling method. Social capital, HRQoL, and SES were considered as latent variables. The association between these latent variables, demographic factors, and mental health was determined by structural-equation modeling (SEM). Results The mean age and mental health score were 44.48 ± 15.87 years and 23.33 ± 11.10 (range, 0-84), respectively. The prevalence of mental disorders was 41.76% (95% confidence interval 41.21-42.30). The SEM model showed that age was directly associated with social capital (P = 0.016) and mental health (P = 0.001). Sex was indirectly related to mental health through social capital (P = 0.018). SES, HRQoL, and social capital were associated both directly and indirectly with mental health status. Conclusion This study suggests that changes in social capital and SES can lead to positive changes in mental health status and that individual and contextual determinants influence HRQoL and mental health.
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Affiliation(s)
| | | | | | | | - Aziz Kassani
- Aziz Kassani, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran,
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