Evidence map›Paper›PMID 40075337›Full record

ArticleBMC public health2025

Sleep disturbances among older adults from the Russian Far East experiencing social loss: is there a sex difference?

Yuanheng Li, Vsevolod Ermakov, Yazhou Wang, Lifeng Wei, Mingxue Ma, Haoyu Chi, Chao Sun, Hanye Tang, Linjun Zhong, Jida Li and 4 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

14 authors.

Yuanheng Li *School of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Vsevolod Ermakov *School of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Yazhou Wang *School of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Lifeng WeiSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Mingxue MaSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Haoyu ChiSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Chao SunSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Hanye TangSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Linjun ZhongSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Jida LiSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Kun WeiSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China.
Zhuowa ShaThe organization department, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, Heilongjiang, 150081, China.
Chao FanHarbin Medical University Cancer Hospital, Harbin Medical University, 150 HaPing Road, Nangang District, Harbin, Heilongjiang, 150001, China.
Mingli JiaoSchool of Health Management, Harbin Medical University, 157 BaoJian Road, Nangang District, Harbin, Heilongjiang, 150086, China. minglijiao@126.com.

Funding

National Natural Science Foundation of China 72174049
6 · The paper itself

Abstract

backgroundMaintaining sleep health in the elderly is of great significance for promoting health equity. The elderly usually experience more social losses, which may lead to many health problems. Few studies have revealed the relationship between social losses and sleep disturbance in the elderly. This study aims to investigate the relationship between social losses and sleep disturbance in the elderly in Russia, and further explore whether the buffering effect of social interaction on relationships has sex differences.

methodsA total of 331 elderly participants from Vladivostok, Russia, were analyzed. Binary logistic regression analysis was performed to explore the factors associated with sleep disturbances. Based on participants' social loss and social interaction, participants were divided into four groups: (i) no social loss + social interaction, (ii) no social loss + no social interaction, (iii) social loss + social interaction, and (iv) social loss + no social interaction. Binary logistic regression was also conducted to examine the interaction between social loss and social interaction on sex-stratified sleep disturbances.

resultsSocial loss among older Russian adults was associated with sleep disturbance in both males and females in the sample collected in this study. Female participants who engage in social interaction showed a significant reduction in the risk of sleep disturbances when experiencing social loss. However, no significant association was observed between social interaction and sleep disturbances among male experiencing social loss.

conclusionsOur findings emphasize that social loss is a risk factor for sleep disturbances, while social interaction serves as a buffering factor for sleep disturbances in elderly females experiencing social loss. This suggests that providing targeted support for elderly individuals of different sexes who have experienced social loss may be an equitable and effective approach to improving sleep health among the elderly in the Russia Far East.

Indexed as

Sleep Wake DisordersSocial InteractionAgedAged, 80 and overFemaleHumansMaleMiddle AgedRussiaSex FactorsElder RussianSleep disturbancesSocial interactionSocial loss

Identifiers

PMID40075337
PMCPMC11905557

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LicenceCC BY-NC-ND
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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.