ArticlePreventive medicine reports2024
The association between intensity-specific physical activity and the number of multiple chronic diseases among Chinese elderly: A study based on the China Health and Retirement Longitudinal study (CHARLS).
Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- The bidirectional relationships among multimorbidity, depression, and catastrophic health expenditures in middle-aged and older Chinese adults: random-intercept, cross-lagged panel model.BMC public health · 2026Article
- The proportion of moderate-to-vigorous-intensity physical activity to total volume of physical activity correlates with decreased risk of possible sarcopenia: A prospective cohort study.Journal of exercise science and fitness · 2025Article
- Association between insulin resistance and multiple chronic diseases: a cross-sectional study from CHARLS.Journal of health, population, and nutrition · 2025Article
- The association between lower urinary tract symptoms secondary to benign prostatic hyperplasia and multimorbidity among Chinese middle-aged and elderly males: evidence based on propensity score matching.Translational andrology and urology · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: With ageing, the elderly are facing a complex situation where multiple chronic diseases coexist. This paper aims to investigate the effect of intensity-specific physical activity on the number of multiple chronic diseases in the elderly. Methods: Our data came from wave 4 of the China Health and Retirement Longitudinal Survey (CHARLS), which involved 10,341 residents aged ≥ 60 years. The intensity-specific physical activity was divided into two categories: moderate-intensity physical activity (MPA) lasting ≥ 150 min/week and vigorous-intensity physical activity (VPA) lasting ≥ 75 min/week. Data on 14 types of chronic diseases were collected. Propensity score matching (PSM) with controlling nine confounding factors were used to analyse the effects of intensity-specific physical activity. Results: Among 10,341 samples, 40.12% of the elderly often participated in MPA and 25.72% participated in VPA. The PSM results showed that performing 150 min/week of MPA leads to 0.0675(P<0.05) fewer multiple chronic diseases than not achieving this standard, and VPA up to 75 min/week leads to 0.0785(P<0.05) fewer multiple chronic disease than that does not meet this criterion. Additionally, VPA is more effective than MPA. Conclusion: Both MPA of at least 150 min/week and VPA of at least 75 min/week can significantly reduce the number of multiple chronic diseases in elderly. Elderly people should increase their exercise intensity as much as possible while ensuring safety.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.