Evidence map›Paper›PMID 39849349›Full record

ArticleBMC geriatrics2025

Study on the relationship between indoor ventilation frequency and anxiety and depression symptoms in older persons: based on the data of 2018 CLHLS.

Lu Lin, Pingping He, Xiaohui Qiu, Sihui Qiu, Jiangping Chen, Jin Wang

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 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

6 authors.

Lu LinNursing School, Health Science Center, Hunan Normal University, Changsha, China.
Pingping HeNursing School, Health Science Center, Hunan Normal University, Changsha, China. hpp-612@163.com.
Xiaohui QiuNursing School, Medical College of Hengyang, University of South China, Hengyang, China.
Sihui QiuNursing School, Medical College of Hengyang, University of South China, Hengyang, China.
Jiangping ChenNursing School, Medical College of Hengyang, University of South China, Hengyang, China.
Jin WangNursing School, Health Science Center, Hunan Normal University, Changsha, China.

Funding

Hunan Province natural science Foundation project 2023JJ30426Key Project of Hunan Social Science Achievement Evaluation Committee XSP20ZDI013
6 · The paper itself

Abstract

backgroundTo investigate the association between indoor ventilation frequency and symptoms of depression and anxiety in older persons.

methodsA binary logistic regression model was used to analyze the effects of indoor ventilation frequency on depression and anxiety by using data from the 2018 Chinese longitudinal healthy longevity survey (CLHLS).

resultsA total of 9,690 older persons with an average age of (83.20 ± 11.27) years were included, including 4,458 males (46.0%) and 5,232 females (54.0%). The average score of indoor ventilation frequency was (6.06 ± 1.98) points, including 770 people (7.9%) with low frequency, 3,066 people (31.6%) with medium frequency, and 5,854 people (60.4%) with high frequency. 842 (8.7%) had symptoms of depression and 204 (2.1%) had symptoms of anxiety. Compared with the older persons with low indoor ventilation frequency, the older persons with higher ventilation frequency had a lower incidence of depression (OR(95%CI) = 1.92 (1.50 ∼ 2.46), 1.51 (1.27 ∼ 1.79); P < 0.001). However indoor ventilation frequency was not associated with anxiety symptoms.

conclusionIndoor ventilation frequency is related to depressive symptoms in older persons. Communities and families should pay more attention to indoor ventilation and intervene in time to promote and improve the mental health of older persons.

Indexed as

Air Pollution, IndoorAnxietyDepressionVentilationAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMaleAnxietyDepressionIndoor ventilation frequencyOlder persons

Identifiers

PMID39849349
PMCPMC11756064

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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.