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ArticleHealth science reports2025

Prevalence of Metabolic Syndrome Among Adults Aged 50 and Above and Associated Factors: A Cross-Sectional Study From Ardakan Cohort Study on Aging (ACSA).

Elham Hooshmand, Isa Akbarzade, Delaram Delbari, Mahtab Niroomand, Fatemeh Ghavidel, Mohammad Saatchi

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Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Elham HooshmandIranian Research Center on Aging University of Social Welfare and Rehabilitation Sciences Tehran Iran.ORCID 0000-0003-1801-493X
Isa AkbarzadeIranian Research Center on Aging University of Social Welfare and Rehabilitation Sciences Tehran Iran.
Delaram DelbariIranian Research Center on Aging University of Social Welfare and Rehabilitation Sciences Tehran Iran.
Mahtab NiroomandDepartment of Internal Medicine, School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Fatemeh GhavidelIranian Research Center on Aging University of Social Welfare and Rehabilitation Sciences Tehran Iran.
Mohammad SaatchiDepartment of Biostatistics and Epidemiology University of Social Welfare and Rehabilitation Sciences Tehran Iran.ORCID 0000-0003-2744-9927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Metabolic syndrome (MetS) is one of the most important late-life diseases. This study was conducted to estimate the prevalence of MetS in the elderly population (over 50 years old) of Ardakan, Iran. Methods: This cross-sectional study was from the first phase of the Ardakan Cohort Study on Aging (ACSA). The MetS was defined based on the Adult Treatment Panel (ATP III) definition. All anthropometric data from ACSA were measured and recorded by trained staff. Standard laboratory methods were used to conduct all blood tests. Physical activity was scored based on the Physical Activity Scale for the Elderly (PASE), and the quality of sleep was assessed by Pittsburgh Sleep Quality (PSQI). Multivariable logistic regression was used to assess associated factors with MetS (α > 0.05). Results: A total of 5944 older adult participants were entered into this study analysis. The mean age was 62.5 ± 8.0, and 50.5% were female. The prevalence of MetS was 66.81% (95% CI: 65.59-68.00) in this study. Based on the multivariable regression and adjusted odds ratio, six variables of age (OR: 1.05), BMI (OR: 1.19), family history of diabetes (OR: 1.48), hypertension (OR: 1.31), physical activity score (OR: 0.99), and having a fatty liver (OR: 1.71) were associated with having MetS. Conclusion: The results of this study showed that the prevalence of metabolic syndrome was high in the older population of Iran. Also, the most prevalent MetS component was triglycerides, and HDL was the least prevalent. Hence, based on these findings, tailored interventions seem necessary to control this syndrome in older Iranian populations.

Indexed as

abdominal obesityaginginsulin resistancemetabolic syndromepre‐diabetes

Identifiers

PMID40046099
PMCPMC11879886

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