ArticleBMC public health2022
Examining the independent and interactive association of physical activity and sedentary behaviour with frailty in Chinese community-dwelling older adults.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- The joint association of sleep duration and physical activity with frailty among older adults: the first evidence from CHARLS.BMC geriatrics · 2026Article
- Relationship between 24-h movement behaviors and frailty-a scoping review.Frontiers in public health · 2026Article
- The relationship of physical activity and sedentary behavior patterns with osteoporosis in older women: a dose-response analysis.Frontiers in public health · 2026Article
- Association of physical activity levels with frailty index in elderly Chinese: evidence from the China health and retirement longitudinal study (CHARLS).BMC geriatrics · 2025Observational
- Associations between dimensions of physical activity (intensity, frequency, duration, and volume) and frailty among middle-aged and older Chinese adults.Journal of exercise science and fitness · 2025Article
- The influence of exercise self-efficacy and gender on the relationship between exercise motivation and physical activity in college students.Scientific reports · 2025Article
- Impact of physical activity on the depression and self-care ability among Chinese older adults during the COVID-19 pandemic: propensity score matching analysis.BMC geriatrics · 2025Article
- Associations between sedentary behaviour and sarcopenia among patients aged 40 and older with chronic obstructive pulmonary disease: a cross-sectional study.BMC public health · 2025Article
- Article
- Dose-response relationship between physical activity and frailty: A systematic review and meta-analysis.Heliyon · 2024Article
- Association of physical activity with socio-economic status and chronic disease in older adults in China: cross-sectional findings from the survey of CLASS 2020 after the outbreak of COVID-19.BMC public health · 2024Article
- Effectiveness of a mHealth platform-based lifestyle integrated multicomponent exercise (Frontiers in public health · 2024Article
- What If the Clinical and Older Adults' Perspectives about Frailty Converge? A Call for a Mixed Conceptual Model of Frailty: A Traditional Literature Review.Healthcare (Basel, Switzerland) · 2023Review
- Relationships between physical, cognitive, and social frailty and locomotive and non-locomotive physical activity of moderate to vigorous intensity.Journal of physical therapy science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile physical inactivity or prolonged sitting has been linked to an increased risk of frailty, the interaction between sitting time (ST), physical activity (PA) and frailty is not well understood. The aim of this study was to examine the dose-response relationship between PA, ST and frailty and further to evaluate the interaction effect of PA and ST on frailty in the context of regular COVID-19 epidemic prevention and control in China.
methodsA cross-sectional analysis was performed on 1458 participants (age ≥ 60) enrolled from a prospective cohort study of frailty in elderly people of Fujian Province. PA and ST levels were assessed using the International Physical Activity Questionnaire. A 40-item frailty index (FI) quantified frailty. Multivariable logistic regression and linear regression models were applied to examine the dose-response relationship between PA or ST and frailty level. Interaction plots were used to visualise the interaction effects of PA and ST on frailty.
resultsCompared with light PA, the odds ratios (ORs) for frailty were significantly lower for moderate PA (OR, 0.609 [95% CI, 0.419, 0.885], P < .001) and vigorous PA (OR, 0.399 [95% CI, 0.236,0.673], P < .001). Comparing subjects with ST < 4 h/day, those with ST ≥ 8 h/day were significantly more likely to be diagnosed with frailty (OR, 3.140 [95% CI, 1.932, 5.106], P < .001), 6-8 h/day (OR, 1.289 [95% CI, 0.835, 1.989], P >0.05), and 4-6 h/day (OR, 1.400 [95% CI, 0.972, 2.018], P >0.05). Each one unit increase in metabolic equivalents (h/day) of PA was related to an average 0.928 (0.887, 0.971) decrease in prevalence of frailty, while each one unit increase in sitting time (h/day) was related to average 1.114 (1.046,1.185) increase in prevalence of frailty. Negative interactive effects of PA and ST on frailty were observed (P < 0.001).
conclusionThere are nonlinear and linear dose-response relationships between PA, SB and frailty respectively. In addition, excess ST may counteract the beneficial effects of PA on frailty. Interventions that focus on reducing excess ST may be effective strategies to reduce the risk of frailty and should be taken seriously by public health authorities, especially in the context of regular epidemic prevention and control in China.
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.