Evidence map›Paper›PMID 39838310›Full record

ArticleBMC geriatrics2025

Disparities in anxiety and related factors among Chinese older adults across different aged-care models: a comparison of two cross-sectional studies.

Xin Zheng, Ziwen Xu, Jiajie Zhao, Sanyuan Hao, Fuqin Xu, Shuo Ding, Guoqing Liu, Shufan Yang, Benjamin Otsen, Wen Zhu and 3 more

Abstract readComparative Study
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

13 authors.

Xin Zheng *School of Public Health, Anhui Medical University, Hefei, China.
Ziwen Xu *School of Health Services Management, Anhui Medical University, Hefei, China.
Jiajie ZhaoSchool of Health Services Management, Anhui Medical University, Hefei, China.
Sanyuan HaoSchool of Health Services Management, Anhui Medical University, Hefei, China.
Fuqin XuSchool of Health Services Management, Anhui Medical University, Hefei, China.
Shuo DingSchool of Health Services Management, Anhui Medical University, Hefei, China.
Guoqing LiuSchool of Health Services Management, Anhui Medical University, Hefei, China.
Shufan YangSchool of Mechanical Engineering, University of Leeds, Leeds, UK.
Benjamin OtsenSchool of Health Services Management, Anhui Medical University, Hefei, China.
Wen ZhuThe First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhongliang BaiSchool of Health Services Management, Anhui Medical University, Hefei, China.
Jie YangChaohu Hospital of Anhui Medical University, Hefei, 238000, China.
Ren ChenSchool of Public Health, Anhui Medical University, Hefei, China. chenren2006@hotmail.com.

Funding

Innovation Training Program for International Students of Anhui Medical University GJY202303National Natural Science Foundation of China 71874002National Natural Science Foundation of China 72304003National Natural Science Foundation of China's international cooperation and exchange projects 72111530207Postgraduate Innovation Research and Practice Program of Anhui Medical University YJS20230157Royal Society of Edinburgh 961_YANGScientific Research Projects for Higher Education of Anhui Province 2023AH010036
6 · The paper itself

Abstract

backgroundAnxiety disorders in older adults have become a prominent public health problem due to their concomitant chronic conditions, reduced quality of life and even death. However, fewer studies have been conducted on differences in anxiety among older individuals in different aged-care models, and the interactive relationship between the influencing factors on anxiety remains unclear. The study aimed to examine the disparities in the prevalence of anxiety between community-dwelling and institutionalized older adults and related influencing factors.

methodsData were collected from the Anhui Healthy Longevity Survey (AHLS) and the Anhui Elderly Caring Social Organizations Survey (AECSOS). Data on demographic variables, lifestyle factors and health-related variables in 6968 older adults were used for analysis. Anxiety symptoms were evaluated using the Generalized Anxiety Disorder Assessment Scale (GAD-7). Binary logistic regression models and a Classification and Regression Tree model (CART) were utilized to examine the relationship between variables.

resultsThe prevalence of anxiety were 24.3% and 16.7% among community-dwelling older adults and institutionalized older adults, respectively. Several factors including age, gender, residence, education, income level, live alone, and number of chronic diseases showed a linkage with anxiety among community-dwelling older adults. For the institutionalized older adults, gender, residence, source of income, and number of chronic diseases exhibited a significant association with anxiety. We noted the interactive effect, suggesting that community-dwelling female older adults with an income level of less than 6500 RMB per year and reported chronic disease comorbidities had the highest likelihood of anxiety, and institutionalized female older adults with income sources such as pension, subsidy, family providing, and resident in rural areas have the greatest risk of experiencing anxiety.

conclusionsThis study has brought to light the higher risk of anxiety among community-dwelling older adults compared to institutionalized older adults. Targeted interventions are, therefore emphasized to address the negative impact of anxiety for populations at higher risk.

Indexed as

AnxietyEast Asian PeopleHealth Status DisparitiesAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansIndependent LivingMalePrevalenceRisk FactorsAged-care modelsAnxietyChinaInfluencing factorsOlder adults

Identifiers

PMID39838310
PMCPMC11748326

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.