Evidence map›Paper›PMID 40796811›Full record

ArticleBMC geriatrics2025

Sex differences in the prevalence and determinants of death anxiety among community-dwelling older adults in China: a cross-sectional study.

Hui Zhang, Zhonghao Xu, Xiaoyan Zhai, Peina Hu, Qingshu Song, Huaye Li, Chang Fu

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.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hui ZhangSchool of Health Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China.
Zhonghao XuSchool of Health Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China.
Xiaoyan ZhaiSchool of Health Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China.
Peina HuSchool of Health Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China.
Qingshu SongSchool of Health Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China.
Huaye LiSchool of Health Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China.
Chang FuSchool of Health Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China. fuchang@bzmc.edu.cn.

Funding

Shandong Provincial Social Science Planning Research Project No. 24CSHJ01University Student Innovation and Entrepreneurship Training Program Project No.202410440002
6 · The paper itself

Abstract

backgroundDeath anxiety levels among older adults may differ by sex and are influenced by distinct factors. This study examined the levels of death anxiety and its determinants among older Chinese adults, with a focus on sex differences.

methodsA multistage sampling method was used to recruit 559 older adults aged 60 years and above who completed a questionnaire survey. Death anxiety was assessed using the Templer Death Anxiety Scale (T-DAS). Factors influencing death anxiety were identified using a multiple linear regression model.

resultsThe average death anxiety scores among men and women were 5.48 ± 3.64 and 6.70 ± 3.70, respectively. Among both men and women, residence [men: rural area (β = 1.087, p = 0.018); women: rural area (β = 2.176, p < 0.001)], the number of outpatient visits in the past year [men: 1 (β = 1.906, p < 0.001), ≥ 2 (β = 2.027, p < 0.001); women:1 (β = 1.612, p = 0.001), ≥ 2 (β = 2.160, p < 0.001)], satisfaction with family relationships [men: satisfied ( β= -1.994, p = 0.001); women: satisfied (β = -1.728, p < 0.001)], and the experience of having seen articles or programmes related to the topic of death in the media [men: yes (β = 1.938, p < 0.001); women: yes (β = 0.911, p = 0.048)] were associated with death anxiety score. Per capita monthly income of the household (1,001 to 3,000 Chinese Yuan: β = 1.188, p = 0.025), and the number of hospitalisations in the past year (≥ 2: β = 1.237, p = 0.046) were associated with death anxiety score only among men. Conversely, educational level (junior high school and above: β = -1.436, p = 0.012) was associated with death anxiety score only among women.

conclusionsOlder women exhibited significantly higher death anxiety levels than men. Determinants of death anxiety varied by sex. Therefore, these factors should be considered in future interventional measures.

Indexed as

AnxietyAttitude to DeathIndependent LivingSex CharacteristicsAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSex FactorsSurveys and QuestionnairesDeath anxietyDeterminantsOlder adultsSex difference

Identifiers

PMID40796811
PMCPMC12341294

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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.