Evidence map›Paper›PMID 40567968›Full record

ArticleFrontiers in public health2025

Which factors affect anxiety in rural older adults in China?

Hui Wang, Chi Wang, Yi Li, Yuran Liu, Hongxu Yuan, Yujie Chen, Hong Ding

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hui WangDepartment of Health Service Management, School of Health Management, Anhui Medical University, Hefei, Anhui, China.
Chi WangDepartment of Health Service Management, School of Health Management, Anhui Medical University, Hefei, Anhui, China.
Yi LiDepartment of Health Service Management, School of Health Management, Anhui Medical University, Hefei, Anhui, China.
Yuran LiuDepartment of Health Service Management, School of Health Management, Anhui Medical University, Hefei, Anhui, China.
Hongxu YuanDepartment of Health Service Management, School of Health Management, Anhui Medical University, Hefei, Anhui, China.
Yujie ChenDepartment of Health Service Management, School of Health Management, Anhui Medical University, Hefei, Anhui, China.
Hong DingDepartment of Health Service Management, School of Health Management, Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influencing factors of individual anxiety in rural older adults in China and analyze the relative importance of each factor, so as to provide scientific basis for the development of intervention measures to improve the mental health of rural older adults. The study also aims to improve the well-being and quality of life of older adults. Methods: A multi-stage cluster random sampling was conducted in rural Anhui Province, China from July 2023 to February 2024, involving a total of 1,546 older adults. T test, ANOVA test, multiple linear regression and random forest algorithm were used for analysis. Results: The mean anxiety score among rural older adults was 4.23 ± 5.30, and the detection rate of anxiety was 36.40%. Multiple linear regression results revealed that age, marital status, visual condition, self-rated health, physical examination, consumption of coarse grains, sleep quality, subjective well-being and social support level were the influencing factors of anxiety in the older adults. The results of random forest analysis showed that depression, self-rated health, subjective well-being, sleep quality and visual acuity had great influence on anxiety in the older adults. Conclusion: This study confirmed the influence of multiple factors on the anxiety of rural older adults. In addition, the study also found that consumption of coarse grains was negatively associated with anxiety in older adults. In order to improve the mental health of the older adults in rural areas, it is recommended to pay more attention to the older adults with depression, poor sleep quality and poor eyesight, and implement multi-dimensional intervention to improve the happiness of the older adults.

Indexed as

AnxietyRural PopulationAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedQuality of LifeSurveys and Questionnairesanxietycoarse grains consumptionolder adultsrandom forestsvisual condition

Identifiers

PMID40567968
PMCPMC12187647

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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.