ArticleHeliyon2022
Multiple chronic conditions among older adults in China: differences in socio-demographic characteristics.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Non-Pharmacological Interventions Targeting Sense of Coherence Among Older Adults and Adults With Chronic Conditions: A Meta-Analysis With Trial Sequential Analysis.Journal of advanced nursing · 2025Pooled it
- Association between utilization of community- based chronic disease examination services and disease control outcomes among patients with hypertension and diabetes.BMC public health · 2026Article
- A network analysis of depression and anxiety symptoms among Chinese elderly with multiple chronic conditions: based on the 2017-2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS).BMC psychology · 2026Article
- Cross-sectional observational study on prevalence and pattern of multimorbidity and its impact on geriatric outpatients in a south Indian tertiary hospital.Frontiers in public health · 2026Observational
- Driving Innovation: The Impact of National Health Policies on Optometry Research in East Asia.The International journal of health planning and management · 2026Article
- Latent profile analysis of self-neglect and associated factors among rural older adults with chronic diseases: a cross-sectional study.Frontiers in public health · 2026Article
- An accessible and efficient mobile eye-tracking application for community-based cognitive impairment screening in China.Alzheimer's research & therapy · 2025Article
- Intergenerational engagement among older people in the long-term care facility in China: a mixed-methods study protocol.BMJ open · 2025Article
- Demographic, health, and behaviors profile of Saudi Arabia's aging population 2022-2023.Frontiers in aging · 2025Article
- Artificial Intelligence in Chronic Disease Management for Aging Populations: A Systematic Review of Machine Learning and NLP Applications.International journal of general medicine · 2025Review
- Restorative museum environments: emotional coping strategies for people living with chronic multimorbidity.Frontiers in psychiatry · 2025Article
- Complex patterns and determinants of regional multiple chronic conditions across the United States.PNAS nexus · 2024Article
- Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study.JMIR formative research · 2024Article
- Multiple geriatric syndromes in community-dwelling older adults in China.Scientific reports · 2024Article
- Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly hypertensive people in China: a longitudinal study.Frontiers in psychiatry · 2024Article
- Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: There are relatively few studies on multiple chronic conditions (MCC) among older adults in China. This study sought to assess the potential differences in the risk of MCC among different elderly populations, and thus to identify the most vulnerable populations at higher risk of developing the MCC. Methods: A sample of 5320 adults aged 60 years or above from the China's Health-Related Quality of Life Survey for Older Adults 2018 (CHRQLS-OA 2018) were included in this study. Descriptive statistics frequencies and proportions were used to summarize the sample characteristics, and logistic regression models were conducted to identify the differences in the risk of having MCC among different populations. Results: Overall, 52.6% of respondents had been clearly diagnosed with at least one chronic disease with 25.3% having MCC. The males ((adjusted odds ratio [AOR] = 0.84; 95% confidence interval [CI] = 0.73-0.98) were less likely to have MCC. This was also true among female elderly with a non-agricultural hukou (AOR = 0.75; 95% CI = 0.57-0.99). The elderly with a non-agricultural hukou aged 60-64 (AOR = 0.55; 95% CI = 0.34-0.88) had a lower risk of having MCC. Those whose average annual household income per capita were 15,000-30,000 RMB (AOR = 1.42; 95% CI = 1.03-1.96) were more likely to suffer from MCC. The odds ratios of having MCC were smaller as the personal savings increases in total samples (all P < 0.05). Conclusions: The findings suggest that different policies or approaches should target these specific populations who are most in need and are most likely to suffer from MCC.
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Registered trials
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