Evidence map›Paper›PMID 36793025›Full record

ArticleBMC psychiatry2023

Prevalence and factors associated with anxiety and depression among community-dwelling older adults in Hunan, China: a cross-sectional study.

Lulu Lu, Hongxian Shen, Liwen Tan, Qiuping Huang, Qiongni Chen, Mining Liang, Li He, Yang Zhou

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 4 pooled it
21.8field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 4 syntheses or guidelines pooled it, 85 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.

Lulu LuClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Hongxian ShenDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Liwen TanDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Qiuping HuangSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, China.
Qiongni ChenClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Mining LiangClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Li HeClinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China. 4921161@qq.com.
Yang ZhouTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, China. zhouyang1030@csu.edu.cn.
Second Xiangya Hospital of Central South University · CNCentral South University · CNHunan University of Traditional Chinese Medicine · CN

Funding

Key R&D project of Hunan Science and Technology Department (Development and Application Demonstration of Healthy Lifestyle Promotion Technology for Middle-aged and Elderly in Hunan Province) 2020SK2075National Key R&D Program of China 2020YFC2005300
6 · The paper itself

Abstract

backgroundOlder adults' psychological health is a public health issue that cannot be ignored, especially when these psychological health problems and related factors change across different social backgrounds because of rapid changes in traditions and family structures and the epidemic responses after the outbreak of COVID-19 in China. The aim of our study is to determine the prevalence of anxiety and depression and their associated factors among community-dwelling older adults in China.

methodsA cross-sectional study was conducted from March to May 2021 with 1173 participants aged 65 years or above from three communities in Hunan Province, China who were selected using convenience sampling. A structured questionnaire including sociodemographic characteristics, clinical characteristics, the Social Support Rating Scale (SSRS), the 7-Item Generalized Anxiety Disorder scale (GAD-7), and the Patient Health Questionnaire-9 Item (PHQ-9) was used to collect relevant demographic and clinical data and to measure social support status, anxiety symptoms, and depressive symptoms, respectively. Bivariate analyses were conducted to explore the difference in anxiety and depression based on samples' different characteristics. The multivariable logistic regression analysis was performed to test for significant predictors of anxiety and depression.

resultsThe prevalence of anxiety and depression were 32.74% and 37.34%, respectively. Multivariable logistic regression analysis revealed that being female, being unemployed before retirement age, lacking physical activity, having physical pain, and having three or more comorbidities were significant predictors for anxiety. Subjective social support and support utilization were significant protective factors. Regarding depression, religion, lacking physical activity, having physical pain, having three or more comorbidities were found to be significant predictors. Support utilization was a significant protective factor.

conclusionsThe study group showed a high prevalence of anxiety and depression. Gender, employment status, physical activity, physical pain, comorbidities, and social support were associated with psychological health problems of older adults. These findings suggest that governments should focus on the psychological health problems of older adults by raising community awareness of issues related to older adults' psychological health. They should also screen for anxiety and depression among high-risk groups and encourage individuals to seek supportive counseling.

Indexed as

AnxietyDepressionAgedChinaCOVID-19Cross-Sectional StudiesFemaleHumansMalePrevalenceAnxietyCommunityDepressionOlder adultsRisk factors

Identifiers

PMID36793025
PMCPMC9930706
OpenAlexW4320914532

What OpenQuestion holds

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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.