ArticleBMJ open2022
Heat maps of cardiovascular disease risk factor clustering among community-dwelling older people in Xinjiang: a cross-sectional study.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Global, Regional, and National Burden of Spinal Pain, 1990-2021, with Projection to 2035: A Population-Based Study.Journal of pain research · 2026Article
- A cohort study in Southern Xinjiang, China, 2018-2023 on the association of metabolic syndrome components and their interactions with cardiovascular disease risk.Frontiers in cardiovascular medicine · 2026Article
- Prevalence and clustering of modifiable cardiovascular disease risk factors among elderly adults in Yuexiu district, Guangzhou City, China: a cross sectional study.BMC cardiovascular disorders · 2025Article
- Impact of global smoking prevalence on mortality: a study across income groups.BMC public health · 2024Article
- Prevalence and Risk Factors of Hyperuricemia in the Urban Health Checkup Population in Xinjiang, China: A Cross-Sectional Study.Risk management and healthcare policy · 2023Article
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Abstract
objectiveThe clustering of multiple cardiovascular disease (CVD) risk factors (CRFs) increases the risk of CVD prevalence and mortality. Little is known about CRF clustering among community-dwelling older people in Xinjiang. The objective of this study was to explore the prevalence of CRF clustering in this population.
designCross-sectional study.
settingXinjiang, China.
participantsMultilevel random sampling was used to survey individuals aged ≥60 in six regions of Xinjiang. In total, 87 000 participants volunteered, with a response rate of 96.67%; 702 participants with incomplete data were excluded and data from 86 298 participants were analysed. OUTCOME MEASURES: The prevalence of smoking, hypertension, diabetes, dyslipidaemia and overweight/obesity was 9.4%, 52.1%, 16.8%, 28.6% and 62.7%, respectively. The prevalence of CRF clusters among people of different ages, regions and ethnic groups differed significantly. The 85.7% of the participants presented at least one CRFs and 55.9% of the participants presented clustering of CRFs. The proportion of CRF clusters tended to be higher in men, 60-69-year-old group, northern Xinjiang and the Kazakh population. After adjusting for age and sex, logistic regression analysis revealed that men, 60-69-year-old group, northern Xinjiang and the Kazakh population were more likely to have clustering of CRFs, compared with their counterparts.
conclusionsThe prevalence of CRFs in the older Xinjiang population is high and their clustering differs by sex, age, region and ethnicity. CRF prevention and management should be active in this population, and strategies to reduce CVD risk based on sex, age, ethnic group and region are warranted.
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