Evidence map›Paper›PMID 41404569›Full record

ArticleFrontiers in public health2025

Association between indoor ventilation frequency and frailty among Chinese older adults.

Xiaobing Xian, Xiyu Chen, Qian Wang, Shiwei Cao, Heqian Fan, Li Zeng, Qiwei Tang, Luxi Chen, Yuanyuan Wang, Kun Shen

Abstract read
In one paragraph

Article in Frontiers in 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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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xiaobing Xian *The Thirteenth People's Hospital of Chongqing, Chongqing, China.
Xiyu Chen *The First Clinical College, Chongqing Medical University, Chongqing, China.
Qian Wang *The Thirteenth People's Hospital of Chongqing, Chongqing, China.
Shiwei CaoThe Second Clinical College, Chongqing Medical University, Chongqing, China.
Heqian FanDepartment of Pediatrics, Chongqing Medical University, Chongqing, China.
Li ZengSchool of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, China.
Qiwei TangThe First Clinical College, Chongqing Medical University, Chongqing, China.
Luxi ChenDepartment of Pediatrics, Chongqing Medical University, Chongqing, China.
Yuanyuan WangThe Thirteenth People's Hospital of Chongqing, Chongqing, China.
Kun ShenThe Thirteenth People's Hospital of Chongqing, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Frailty is a common geriatric syndrome that imposes a heavy disease burden globally. Indoor ventilation is a crucial measure for improving air quality. However, the association between indoor ventilation frequency (IVF) and frailty remains unclear. This study aimed to explore this association among Chinese older adults. Methods: We used data from 5,511 older adults in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 2018 and an external validation sample of 718 older adults from Chongqing. Logistic regression models and linear regression models were employed to assess the association between IVF and frailty and its seasonal variations. We further conducted subgroup analysis to examine differences across various populations. All statistical analyses were performed using SPSS 25.0 and R 4.3.0. Results: Compared with low ventilation frequency, intermediate (OR = 0.722, 95% CI: 0.559 ~ 0.933) and high (OR = 0.824, 95% CI: 0.643 ~ 0.995) frequencies were significantly associated with a lower risk of frailty. Seasonal analysis revealed that this inverse association was particularly significant in autumn and winter. Subgroup analysis suggested that this association was more pronounced in subgroups such as females, older adults over 80 years old, and those who use non-clear energy for cooking. External validation data from Chongqing supported these findings. Conclusion: This research demonstrated a significant association between IVF and frailty among Chinese older adults. These findings provide supportive evidence for considering ventilation behavior in public health strategies aimed at promoting healthy aging.

Indexed as

Air Pollution, IndoorFrail ElderlyFrailtyVentilationAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleSeasonsCLHLSexternal validationfrailtyindoor ventilation frequencyolder adults

Identifiers

PMID41404569
PMCPMC12704094

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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.