Evidence mapPaperPMID 42500011Full record

ArticleFrontiers in public health2026

Socioeconomic inequalities in obesity among older adults in the Astana region of Kazakhstan: evidence of a reversed socioeconomic gradient.

Anara Zhumadilova, Tolkyn Zhakupova, Alibek Kossumov, Almagul Kushugulova, Zhaxybay Zhumadilov, Graciela Muniz-Terrera, Zelalem Teka Haile, Adil Supiyev

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Article in Frontiers in public health, 2026. 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Anara ZhumadilovaOhio University Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, United States.
Tolkyn ZhakupovaAstana Medical University, Astana, Kazakhstan.
Alibek KossumovNational Laboratories Astana, Nazarbayev University, Astana, Kazakhstan.
Almagul KushugulovaNational Laboratories Astana, Nazarbayev University, Astana, Kazakhstan.
Zhaxybay ZhumadilovNazarbayev University School of Medicine, Astana, Kazakhstan.
Graciela Muniz-TerreraOhio University Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, United States.
Zelalem Teka HaileOhio University Heritage College of Osteopathic Medicine, Ohio University, Dublin, OH, United States.
Adil SupiyevOhio University Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is limited information on cardiometabolic risk factors in Central Asia. This study examined the prevalence of overweight, obesity, and central obesity and assessed socioeconomic and demographic correlates among older adults in urban and rural areas of the Astana region of Kazakhstan. Methods: This cross-sectional study included 977 adults aged 50 to 74 years recruited from urban (Astana) and rural (Akmol) sites in the Astana region of Kazakhstan. Multivariable binary logistic regression analyses with three sequential models were conducted to examine associations between obesity measures, socioeconomic characteristics, and cardiometabolic conditions. Robust standard errors were used throughout. Results: Overall, 37% of participants were overweight, 44% were obese, and 72% had central obesity. Overweight and central obesity were more prevalent in men, while BMI-defined obesity was more common in women (52% vs. 34%). All three obesity measures were significantly and consistently associated with diabetes, hypertension, and hypercholesterolemia across all models. Rural residence was strongly protective against central obesity across all models (fully adjusted OR, 0.43; 95% CI, 0.30-0.64). Greater household asset ownership was positively associated with overweight and obesity in a dose-response fashion, with a significant linear trend confirmed for both outcomes (p for trend = 0.038 and Conclusion: Obesity is highly prevalent among older adults in the Astana region of Kazakhstan. In contrast to the inverse socioeconomic gradient commonly observed in high-income settings, household asset ownership showed a reversed gradient: more affluent participants had significantly higher odds of obesity, whereas lower educational attainment was associated with higher obesity risk. The strong associations between all obesity measures and cardiometabolic conditions underscore the urgent need for integrated obesity and cardiometabolic disease prevention strategies. These findings highlight the need for context-specific public health approaches that account for the distinct socioeconomic patterning of obesity in Kazakhstan.

Indexed as

ObesitySocioeconomic Disparities in HealthAgedCross-Sectional StudiesFemaleHumansKazakhstanMaleMiddle AgedOverweightPrevalenceRisk FactorsRural PopulationSocioeconomic FactorsCentral AsiaKazakhstanobesityoverweightsocioeconomic factors

Identifiers

PMID42500011
PMCPMC13395783

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.