Journal of Preventive Medicine and Public Health

Moslem Soofi

2 Articles

Measurement and Decomposition of Socioeconomic Inequality in Metabolic Syndrome: A Cross-sectional Analysis of the RaNCD Cohort Study in the West of Iran: Moslem Soofi, Farid Najafi, Shahin Soltani, Behzad Karamimatin; J Prev Med Public Health. 2023;56(1):50-58. Published online January 6, 2023; DOI: https://doi.org/10.3961/jpmph.22.373

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Objectives
Socioeconomic inequality in metabolic syndrome (MetS) remains poorly understood in Iran. The present study examined the extent of the socioeconomic inequalities in MetS and quantified the contribution of its determinants to explain the observed inequality, with a focus on middle-aged adults in Iran.
Methods
This cross-sectional study used data from the Ravansar Non-Communicable Disease cohort study. A sample of 9975 middle-aged adults aged 35-65 years was analyzed. MetS was assessed based on the International Diabetes Federation definition. Principal component analysis was used to construct socioeconomic status (SES). The Wagstaff normalized concentration index (CI_n) was employed to measure the magnitude of socioeconomic inequalities in MetS. Decomposition analysis was performed to identify and calculate the contribution of the MetS inequality determinants.
Results
The proportion of MetS in the sample was 41.1%. The CI_n of having MetS was 0.043 (95% confidence interval, 0.020 to 0.066), indicating that MetS was more concentrated among individuals with high SES. The main contributors to the observed inequality in MetS were SES (72.0%), residence (rural or urban, 46.9%), and physical activity (31.5%).
Conclusions
Our findings indicated a pro-poor inequality in MetS among Iranian middle-aged adults. These results highlight the importance of persuading middle-aged adults to be physically active, particularly those in an urban setting. In addition to targeting physically inactive individuals and those with low levels of education, policy interventions aimed at mitigating socioeconomic inequality in MetS should increase the focus on high-SES individuals and the urban population.

Summary

Citations

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Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study
Guadalupe Gutiérrez-Esparza, Mireya Martinez-Garcia, Tania Ramírez-delReal, Lucero Elizabeth Groves-Miralrio, Manlio F. Marquez, Tomás Pulido, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus
Nutrients.2024; 16(5): 612. CrossRef
Socioeconomic inequalities in metabolic syndrome and its components in a sample of Iranian Kurdish adults
Pardis Mohammadzadeh, Farhad Moradpour, Bijan Nouri, Farideh Mostafavi, Farid Najafi, Ghobad Moradi
Epidemiology and Health.2023; 45: e2023083. CrossRef

Measuring and Decomposing Socioeconomic Inequalities in Adult Obesity in Western Iran: Farid Najafi, Yahya Pasdar, Behrooz Hamzeh, Satar Rezaei, Mehdi Moradi Nazar, Moslem Soofi; J Prev Med Public Health. 2018;51(6):289-297. Published online October 29, 2018; DOI: https://doi.org/10.3961/jpmph.18.062

6,463 View
176 Download
14 Crossref

Abstract PDF

Objectives
Obesity is a considerable and growing public health concern worldwide. The present study aimed to quantify socioeconomic inequalities in adult obesity in western Iran.
Methods
A total of 10 086 participants, aged 35-65 years, from the Ravansar Non-communicable Disease Cohort Study (2014-2016) were included in the study to examine socioeconomic inequalities in obesity. We defined obesity as a body mass index ≥30 kg/m2 . The concentration index and concentration curve were used to illustrate and measure wealth-related inequality in obesity. Additionally, we decomposed the concentration index to identify factors that explained wealth-related inequality in obesity.
Results
Overall, the prevalence of obesity in the total sample was 26.7%. The concentration index of obesity was 0.04; indicating that obesity was more concentrated among the rich (p<0.001). Decomposition analysis indicated that wealth, place of residence, and marital status were the main contributors to the observed inequality in obesity.
Conclusions
Socioeconomic-related inequalities in obesity among adults warrant more attention. Policies should be designed to reduce both the prevalence of obesity and inequalities in obesity by focusing on those with higher socioeconomic status, urban residents, and married individuals.

Summary

Citations

Citations to this article as recorded by

Worse becomes the worst: obesity inequality, its determinants and policy options in Iran
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Biplab Biswas, Nishith Kumar, Md. Matiur Rahaman, Sukanta Das, Md. Aminul Hoque, Benojir Ahammed
PLOS ONE.2024; 19(3): e0301106. CrossRef
Measurement and Decomposition of Socioeconomic Inequality in Metabolic Syndrome: A Cross-sectional Analysis of the RaNCD Cohort Study in the West of Iran
Moslem Soofi, Farid Najafi, Shahin Soltani, Behzad Karamimatin
Journal of Preventive Medicine and Public Health.2023; 56(1): 50. CrossRef
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Association of a pro-inflammatory diet with type 2 diabetes and hypertension: results from the Ravansar non-communicable diseases cohort study
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Archives of Public Health.2022;[Epub] CrossRef
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Journal of Preventive Medicine and Public Health.2022; 55(3): 297. CrossRef
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Farhad Pourfarzi, Satar Rezaei, Telma Zahirian Moghadam, Hamed Zandian, Foad Dibazar
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Socioeconomic disparities in using rehabilitation services among Iranian adults with disabilities: a decomposition analysis
Shahin Soltani, Marzieh Mohammadi Moghadam, Shiva Amani, Shahram Akbari, Amir Shiani, Moslem Soofi
BMC Health Services Research.2022;[Epub] CrossRef
Establishing hematological reference intervals in healthy adults: Ravansar non‐communicable disease cohort study, Iran
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Socioeconomic - related inequalities in overweight and obesity: findings from the PERSIAN cohort study
Farid Najafi, Shahin Soltani, Behzad Karami Matin, Ali Kazemi Karyani, Satar Rezaei, Moslem Soofi, Yahya Salimi, Mehdi Moradinazar, Mohammad Hajizadeh, Loghman Barzegar, Yahya Pasdar, Behrooz Hamzeh, Ali Akbar Haghdoost, Reza Malekzadeh, Hossein Poustchi,
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