|Year : 2019 | Volume
| Issue : 1 | Page : 215
Obesity is the most important factor for gender inequality in type 2 diabetes incidence in an Iranian population
Ahamd Khosravi1, Mohammad Hassan Hashemian2, Hassan Hashemi3, Akbar Fotouhi4
1 Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran
2 Center for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran
3 Noor Research Center for Ophthalmic Epidemiology, Noor Eye Hospital, Tehran, Iran
4 Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
|Date of Submission||04-Oct-2017|
|Date of Acceptance||30-Apr-2019|
|Date of Web Publication||10-Dec-2019|
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran
Source of Support: None, Conflict of Interest: None
Background: The results of Shahroud Eye Cohort Study (ShECS) showed a high 5-year incidence of diabetes mellitus with female predominance in 40–64 years old Iranian population. The aim of this report was to decompose the observed sex differences in the incidence of diabetes. Methods: Sex-specific incidence rate of diabetes was calculated between the two phases of ShECS (2009–2014). The gap decomposition was done by the twofold Blinder–Oaxaca decomposition model. Results: The results showed that from the total gap (11.19%–15.55% = −4.36%) between the two sexes, 3.46% which forms 79.4% of the total gap is related to the difference in obesity in both genders. In contrast to obesity, age and overweigh status had a decreasing influence on gender inequality. Conclusions: Obesity of Iranian women compared with men is the most important reason for an increase in the incidence of diabetes in women.
Keywords: Diabetes mellitus, incidence rate, Iran, Blinder–Oaxaca decomposition, Obesity
|How to cite this article:|
Khosravi A, Hashemian MH, Hashemi H, Fotouhi A. Obesity is the most important factor for gender inequality in type 2 diabetes incidence in an Iranian population. Int J Prev Med 2019;10:215
|How to cite this URL:|
Khosravi A, Hashemian MH, Hashemi H, Fotouhi A. Obesity is the most important factor for gender inequality in type 2 diabetes incidence in an Iranian population. Int J Prev Med [serial online] 2019 [cited 2020 Jan 27];10:215. Available from: http://www.ijpvmjournal.net/text.asp?2019/10/1/215/272624
| Introduction|| |
Ebrahimi et al. in 2016 reported a high 5-year incidence of diabetes and its risk factors in 40–64 years old Iranian population. They emphasized that immediate interventions be implemented to prevent and control the increasing trend of diabetes in Iran. The 5-year incidence of diabetes was 11.19% [95% confidence interval (CI): 9.70–12.68] in men, 15.55% (95% CI: 14.10–17.0) in women, and it was significantly higher in women than men (Risk ratio = 1.39, 95% CI: 1.18–1.64). Some studies have reported no significant difference in the incidence of diabetes in the two sexes,, but noticing the different risk factors for diabetes for each sex, the report of sex-specific diabetes incidence rate was recommended. In Ebrahimi et al.'s study, of eight included primary predictors of diabetes in a log-binomial regression model, age, hypertension, and body mass index (BMI) were associated with increased risk of diabetes. This result indicates a sex-independent role for the mentioned risk factors. Due to the lack of a causal role of sex on increasing the risk of diabetes, and independence of the main risk factors' effects from sex, the interpretation of the results is that the reason for the increase in the diabetes incidence in women is the effect of age, blood pressure, and BMI (the confounding role of these factors in relation to sex and diabetes). Now, the major question is the role of each of these factors in the difference observed in the incidence of diabetes among Iranian men and women. The aim of this report was to decompose the observed sex differences in the incidence of diabetes to explain how much of the gap is due to differences in the predictors' level and how much is due to coefficients of model using Blinder–Oaxaca decomposition.
| Methods|| |
To answer the research question, data from Shahroud Eye Cohort Study (ShECS) were used. ShECS was conducted in two phases in 2009 and 2014. The details for estimating the 5-year incidence of diabetes mellitus are presented in Ebrahimi's study for both the sexes. However, we describe the methodology of this study concisely. In this study, using stratified cluster sampling method, 5190 middle-aged persons were randomly selected from the city of Shahroud in the first phase of the study in 2009. After explaining the objectives of the study and obtaining informed consent, all participants were invited for an ophthalmology examination and medical history questioning. In the second phase of the study, 4737 people (91.3%) participated and the 5-year incidence of diabetes was calculated in the nondiabetic persons. Participants with fasting blood sugar ≥126 mg/dL and/or those with hemoglobin A1C ≥6.5% and/or using medications for diabetes were diagnosed as patients with diabetes.
In this report, the decomposition of the gap was done by the twofold Blinder–Oaxaca decomposition model. In a twofold method, the difference in incidence of diabetes in the two groups of women and men, regardless of the interaction component, is decomposed. As shown in the following formula,, the sex difference in the incidence of diabetes is divided into two parts. The “explained” values in the model are related to the cross-sex difference in the incidence of diabetes in relation to the level of explanatory variables, and “unexplained” values indicate the differential magnitudes of model coefficients (but may also result from the influence of unobserved predictors) in both the sexes. The difference in the incidence of diabetes between men and women is weighted in terms of explanatory variables (explained values) using reference coefficients . In this method, referential coefficients are obtained using the regression model of explanatory variables and the outcome is estimated for the whole population.
| Results|| |
According to the results presented in [Table 1], it can be concluded that the significant contribution of inequality in the incidence of diabetes in the two sexes is due to the observed variables, rather than the difference in the effect of these variables. Among the three major risk factors for the occurrence of diabetes in both the sexes, BMI has the greatest role in inequality of incidence in both the sexes. The results showed that from the total gap between the two sexes (4.36%), 3.46%, which forms 79.4% of the total gap, is related to the difference in obesity in both the genders. In contrast to relationship between obesity and inequality, age and overweigh status had a decreasing influence on gender inequality. This is due to cross-sex difference in age and BMI distributions. The variables of hypertension and prehypertension have no significant role in the observed inequality in the two groups.
|Table 1: Decomposition of the gap in diabetes incidence between males and females|
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| Discussion|| |
Considering the role of obesity as a risk factor for diabetes,, the results of this study showed that obesity of Iranian women compared with men is the most important reason for an increase in the incidence of diabetes in women. The prevalence of obesity in Iranian women is significantly higher than that in men. Given the high prevalence of obesity in the Eastern Mediterranean region, according to the World Health Organization report, obesity in Iranian women is higher than the regional average. Weight loss in men and women can be a major contributor to reducing the risk of diabetes and other noncommunicable diseases. Moreover, weight loss interventions in Iranian women can have a significant role in reducing the incidence of diabetes in this group. Unlike the role of obesity on inequality, overweight in males is predominant and decreases the gap between genders.
Financial support and sponsorship
The Shahroud Eye Cohort Study was supported by the Noor Ophthalmology Research Center and Shahroud University of Medical Sciences (Grant No: 8737).
Conflicts of interest
There are no conflicts of interest.
| References|| |
Ebrahimi H, Emamian MH, Hashemi H, Fotouhi A. High incidence of diabetes mellitus among a middle-aged population in Iran: A longitudinal study. Can J Diabetes 2016;40:570-5.
Derakhshan A, Sardarinia M, Khalili D, Momenan AA, Azizi F, Hadaegh F. Sex specific incidence rates of type 2 diabetes and its risk factors over 9 years of follow-up: Tehran Lipid and Glucose Study. PLOS One 2014;9:e102563.
Anjana RM, Shanthi Rani CS, Deepa M, Pradeepa R, Sudha V, Divya Nair H et al
. Incidence of diabetes and prediabetes and predictors of progression among Asian Indians: 10-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES). Diabetes Care 2015;38:1441.
Meisinger C, Thorand B, Schneider A, Stieber J, Doring A, Lowel H. Sex differences in risk factors for incident type 2 diabetes mellitus: The MONICA Augsburg cohort study. Arch Intern Med 2002;162:82-9.
Jann B. The Blinder-Oaxaca decomposition for linear regression models. Stata J 2008;8:453-79.
Khosravi A, Emamian MH, Hashemi H, Fotouhi A. Pre-hypertension and the risk of diabetes mellitus incidence using a marginal structural model in an Iranian prospective cohort study. Epidemiol Health 2018;40:e2018026. doi: 10.4178/epih.e2018026.
Hlavac M. Oaxaca: Blinder-Oaxaca Decomposition in R. R package version 0.1.3. R package version 0.1.3; 2016.
Esteghamati A, Etemad K, Koohpayehzadeh J, Abbasi M, Meysamie A, Noshad S et al
. Trends in the prevalence of diabetes and impaired fasting glucose in association with obesity in Iran: 2005-2011. Diabetes Res Clin Pract 2014;103:319-27.
Borné Y, Nilsson PM, Melander O, Hedblad B, Engström G. Multiple anthropometric measures in relation to incidence of diabetes: A Swedish population-based cohort study. Eur J Public Health 2015;25:1100.
Kelishadi R, Alikhani S, Delavari A, Alaedini F, Safaie A, Hojatzadeh E. Obesity and associated lifestyle behaviours in Iran: Findings from theFirst National Non-communicable Disease Risk Factor Surveillance Survey. Public Health Nutr 2008;11:246-51.
WHO. Iran (Islamic Republic of): WHO statistical profile: Global Health Observatory; 2015.