Journal of Preventive Medicine and Public Health

Original Article

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

Citations to this article as recorded by

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

Review

Health Inequalities in Korea: Current Conditions and Implications.: Yu Mi Kim, Myoung Hee Kim; J Prev Med Public Health. 2007;40(6):431-438.; DOI: https://doi.org/10.3961/jpmph.2007.40.6.431

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144 Download
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Abstract PDF

OBJECTIVES
The aim of this study is to summarize the current conditions and implications of health inequalities in South Korea. METHODS: Through a literature review of empirical studies and supplementary analysis of the data presented in the 1998, 2001, and 2005 KNHANEs, we evaluated the extent and trends of socioeconomic inequalities in both health risk factors, such as smoking, physical activity, and obesity, and outcomes, such as total mortality, subjective poor health status by self-reports and metabolic syndrome. Relative risks and odds ratios were used to measure differences across socioeconomic groups, and the relative index of inequality was used to evaluate the changes in inequalities over time. RESULTS: We found clear inequalities to various degrees in most health indicators. While little change was observed in mortality differences over time, the socioeconomic gaps in risk factors and morbidity have been widening, with much larger differences among the younger population. CONCLUSIONS: Socioeconomic inequalities are pervasive across various health indicators, and some of them are increasing. The trends in socioeconomic inequalities in health should be carefully monitored, and comprehensive measures to alleviate health inequalities are needed, especially for young populations.

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