Evidence map›Paper›PMID 32912134›Full record

ArticleEnvironmental health and preventive medicine2020

Mental health and related influencing factors among rural elderly in 14 poverty state counties of Chongqing, Southwest China: a cross-sectional study.

Yin Yang, Hui Deng, Qingqing Yang, Xianbin Ding, Deqiang Mao, Xiaosong Ma, Bangzhong Xiao, Zhaohui Zhong

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 13% of its field
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

16 citing papers in PubMed, 24 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Yin YangDepartment of Epidemiology, School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, YiXueYuan Road, YuZhong District, Chongqing, 400016, China.
Hui DengThe First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qingqing YangDepartment of Epidemiology, School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, YiXueYuan Road, YuZhong District, Chongqing, 400016, China.
Xianbin DingChongqing Preventive Medicine Association, Chongqing, China.
Deqiang MaoChongqing Preventive Medicine Association, Chongqing, China.
Xiaosong MaChongqing Preventive Medicine Association, Chongqing, China.
Bangzhong XiaoChongqing Preventive Medicine Association, Chongqing, China.
Zhaohui ZhongDepartment of Epidemiology, School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, YiXueYuan Road, YuZhong District, Chongqing, 400016, China. 100144@cqmu.edu.cn.ORCID http://orcid.org/0000-0002-8057-3065
Chinese Preventive Medicine Association · CNChongqing Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

Chongqing Municipal Health Bureau 0611-BZ1800401421AF (18C1835)
6 · The paper itself

Abstract

backgroundChina has the largest elderly population in the world; little attention has been paid to the mental health of elderly in areas of extreme poverty. This is the first study to investigate the mental health of the rural elderly in poverty state counties in Chongqing and was part of the Chongqing 2018 health literacy promotion project.

methodsIn 2019, a cross-sectional study was conducted to investigate the mental health status of the rural elderly in fourteen poverty state counties of Chongqing, in which a total of 1400 elderly aged ≥ 65 years were interviewed, where mental health status was measured by the ten-item Kessler10 (K10) scale. Ordered multivariate logistic regression was performed to evaluate the influencing factors related to mental health of the elderly in these areas.

resultsThe average score of K10 in 14 poverty state counties was 17.40 ± 6.31, 47.6% was labeled as good, 30.2% was moderate, 17.0% was poor, and lastly 5.1% was bad, and the mental health status of the elderly in the northeastern wing of Chongqing was better than the one in the southeastern wing of Chongqing. A worse self-rated health was the risk factor for mental health both in the northeastern and southeastern wings of Chongqing (all P < 0.001). Lower education level (OR (95% CI) = 1.45 (1.12-1.87), P = 0.004) was a risk factor in the northeastern wing, whereas older age (OR (95% CI) = 1.33 (1.13-1.56), P = 0.001) was a risk factors in the southeastern wing.

conclusionsThe results showed that mental health of the elderly in poverty state counties was poor, especially in the southeastern wing of Chongqing. Particular attention needs to be paid to the males who were less educated, older, and single; female with lower annual per capital income; and especially the elderly with poor self-rated health.

Indexed as

Socioeconomic FactorsAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHealth PolicyHumansLogistic ModelsMaleMental HealthMultivariate AnalysisRural PopulationChinese elderlyK10Mental healthPoverty state counties

Identifiers

PMID32912134
PMCPMC7488569
OpenAlexW3084128380

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.