ArticleScientific reports2025
Socioeconomic disparities in multimorbidity of chronic diseases in the RaNCD cohort study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patterns of multimorbidity, their outcomes and analytical methods for their determination: a systematic review.BMC public health · 2026Pooled it
- Article
- Cardiometabolic multimorbidity prevalence and its socio-demographic determinants among Iranian adults: insights from the nationwide STEPS 2021.Scientific reports · 2026Article
- Clustering metabolic and behavioral risk factors for hypertension: evidence from a longitudinal cohort in western Iran.Scientific reports · 2026Article
- Comorbidity patterns of chronic respiratory diseases in older Chinese adults: A repeated cross-sectional study from CHARLS.Medicine · 2026Article
- Patterns of multimorbidity among low-income adults who smoke with implications for tailored interventions: a cluster analysis using a Mixture of Bernoulli model.Frontiers in medicine · 2026Article
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5 authors.
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Abstract
There is limited understanding of socioeconomic inequality in multimorbidity in Iran. This study aims to investigate socioeconomic inequality in multimorbidity among adults in western Iran. Data from the Ravansar Non-Communicable Disease (RaNCD) cohort study were used in this cross-sectional study. A sample of 10,047 adults aged 35-65 years was analyzed. Principal component analysis was utilized to determine socioeconomic status (SES). The normalized concentration index (NCI) was used to assess the extent of socioeconomic disparities in multimorbidity. Decomposition analysis was conducted to identify and calculate the factors contributing to multimorbidity inequality. In this study, the prevalence of having at least two NCDs was 9.07%, while the prevalence of having at least three NCDs was 2.87%, and four or more NCDs was 1.25%. The NCI for multimorbidity was -0.061 (P < 0.001), indicating a higher concentration of multimorbidity among individuals with low SES. Age (52.5%), body mass index (BMI) (29.4%), gender (27.5%), physical activity (25.1%), and SES (15%) were identified as significant factors contributing to the increased inequality in multimorbidity. The study findings identified age, gender, BMI, physical activity, and SES as key factors driving multimorbidity disparities. It is recommended that health policymakers prioritize health interventions aimed at reducing socioeconomic inequalities in multimorbidity, particularly for low-SES groups, women, obese individuals, and older adults.
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