Evidence map›Paper›PMID 41219984›Full record

ArticleBMC public health2025

The epidemiological features of and correlation between central obesity and major cardiometabolic disease clustering among middle-aged and elderly residents in Xinjiang.

Maidina Abudusilimu, Xiamusiye Muyiduli, Shawulaxi Rejiafu, Adila Sulidan, Chunmei Ling, Rong Zhang

Abstract read
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Article in BMC public health, 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.

Maidina AbudusilimuXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Xiamusiye MuyiduliXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Shawulaxi RejiafuXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Adila SulidanXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Chunmei LingXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Rong ZhangXinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi, Xinjiang, China. 1256177941@qq.com.

Funding

Tianshan Talents TSYC202301B159
6 · The paper itself

Abstract

backgroundResearch analysing central obesity and cardiometabolic diseases among residents in multiethnic areas in western China is relatively rare. The purpose of this study was to explore the epidemiological features of and correlations between central obesity and cardiometabolic disease clustering in residents of Xinjiang aged 40 years and older.

methodsData from the "China Chronic Disease and Risk Factor Surveillance (CCDRFS)" program, which covered 8 districts in Xinjiang from 2013 to 2023, were used, and data were collected via questionnaires, body measurements and laboratory tests. Chi-square tests and binary logistic regression were used for statistical analysis in SPSS 26.0.

resultsA total of 10,908 participants (46.21% male, 53.79% female) were included in this study. The prevalence of central obesity was 81.49% and was higher among women. The prevalences of mild and severe disease were 34.31% and 47.18%, respectively. The prevalence of cardiometabolic disease clustering was 40.95%. Factors such as sex, age, urban‒rural distribution, and education level were associated with the prevalence of central obesity and cardiometabolic disease clustering. The prevalence of central obesity showed a continuous increasing trend over time, whereas the clustering of major cardiometabolic diseases decreased first but then increased. The prevalence of cardiometabolic diseases increased with increasing central obesity in men and women and in the overall population. Multivariate analysis revealed that after adjustment for age, urban‒rural distribution and education level, the risk of having two major cardiometabolic diseases was 1.860 (95% confidence interval [95% CI]: 1.533-2.257) and 3.658 (95% CI: 3.035-4.409) times greater, respectively, in men with mild and severe central obesity than in men with noncentral obesity, while the corresponding values were 1.758 (95% CI: 1.439-2.147) and 3.000 (95% CI: 2.480-3.629), respectively, in women. The risk of having three or more major cardiometabolic diseases was 2.415 (95% CI: 1.730-3.371) and 5.552 (95% CI: 4.039-7.632) times greater in men with mild and severe central obesity, respectively, than in men with noncentral obesity, and the corresponding values were 2.130 (95% CI: 1.476-3.075) and 5.570 (95% CI: 3.958-7.838), respectively, in women.

conclusionCentral obesity and cardiometabolic disease clustering is significant in Xinjiang's middle-aged and elderly population. The risk of cardiometabolic disease clustering is greater in people with central obesity, especially those with greater waist circumference. The prevalence of related diseases has increased significantly and demands attention in terms of prevention and control.

Indexed as

Cardiovascular DiseasesObesity, AbdominalAdultAgedChinaCluster AnalysisFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsCardiometabolic diseasesCentral obesityClusteringMiddle-aged and elderly peopleXinjiang

Identifiers

PMID41219984
PMCPMC12607211

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LicenceCC BY-NC-ND
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