Evidence map›Paper›PMID 40604431›Full record

ArticleBMC geriatrics2025

Association between community-based health services and health lifestyles of older adults: evidence from China.

Yuqun Hu, Tieying Feng

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Yuqun HuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Tieying FengSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China. tyfeng@xjtu.edu.cn.

Funding

The National Social Science Foundation of China 23XRK003
6 · The paper itself

Abstract

backgroundHealthy lifestyles play a significant role in promoting healthy aging. Nevertheless, existing studies have placed greater emphasis on individual factors while overlooking the effects of community-based health services on health lifestyles. The objective of this study was to classify the health lifestyles of older Chinese adults and assess the associations between community-based health services and the health lifestyles of older adults.

methodsLatent class analysis can classify homogeneous groups according to individuals' different responses to manifest variables. Based on data from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS), latent class analysis was employed to identify the types of health lifestyles among community-dwelling older adults aged 60 years and above in China. Logistic regression was used to assess the associations between community-based health services and health lifestyles. And a total of 11,022 samples were entered into the analysis.

resultsThree latent lifestyle classes were identified: "risky" (24.0%), "passive" (45.3%) and "preventive" (30.7%). Compared with a passive lifestyle, regular examinations were significantly associated with both risky (OR 1.384, 95% CI 1.191-1.609) and preventive (OR 1.733, 95% CI 1.527-1.965) lifestyles, and home visits (OR 1.467, 95% CI 1.133-1.899) and community nursing (OR 2.258, 95% CI 1.085-4.698) were significantly associated with a preventive lifestyle.

conclusionThis study confirmed the role of public health services in shaping the health lifestyles of older adults, so as to promote healthy aging. The study also has limitations in the comprehensive assessment of health lifestyles, causal inference, and the acquisition of recent data.

Indexed as

Community Health ServicesHealthy AgingHealthy LifestyleLife StyleAgedAged, 80 and overChinaFemaleHumansIndependent LivingLongitudinal StudiesMaleMiddle AgedCommunity-based health serviceHealth lifestyleLatent class analysisOlder adultsPublic health

Identifiers

PMID40604431
PMCPMC12220610

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LicenceCC BY-NC-ND
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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.