Evidence map›Paper›PMID 37575585›Full record

ArticleFrontiers in psychiatry2023

Marital status and living apart affect sleep quality in male military personnel: a study of the China's Navy during COVID-19.

Xin Guo, Yao Meng, Hao Lian, Yinan Li, Ying Xu, Ruike Zhang, Jingzhou Xu, Hao Wang, Shuyu Xu, Wenpeng Cai and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 12 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

13 authors.

Xin GuoDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Yao MengDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Hao LianDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Yinan LiDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Ying XuDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Ruike ZhangDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Jingzhou XuDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Hao WangDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Shuyu XuDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Wenpeng CaiDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Lei XiaoDepartment of Medical Psychology, Faculty of Psychology, Naval Medical University, Shanghai, China.
Tong SuFaculty of Psychology, Naval Medical University, Shanghai, China.
Yunxiang TangFaculty of Psychology, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Marital status is a robust sociodemographic predictor of sleep. Having to live apart from spouse may have different implications than those of cohabitants or singles, especially in military personnel. Further research on this group will help provide knowledge in advance and facilitate early targeted interventions. Methods: An online questionnaire study was conducted from July to November 2021. A total of 1,832 male military personnel completed the questionnaire. The marital status was measured by a self-reported single choice question. Pittsburgh sleep quality index (PSQI), Epworth Sleepiness Scale (ESS) and The Dysfunctional Beliefs and Attitudes about sleep scale (DBAS-16) were used to measure sleep-related outcomes. Inverse probability weighting (IPW) was applied to reduce the effects of confounding. Logistic regression was used to analyze the relationship between marital status and sleep and explore the impact of living together or not. Results: After inverse probability weighting, the prevalence of poor sleep quality, sleepiness and dysfunctional beliefs were 16.1, 20.1 and 7.1%, respectively. One-way ANOVA results for the means of both groups were statistically significantly different, except for the sleep latency and sleep disturbance dimensions of PSQI. Participants who were married were more likely to have poor sleep quality (OR: 1.408, 95% CI: [1.10, 1.80]), to have daytime sleepiness (OR: 1.560, 95% CI: [1.27, 1.92]) and to develop dysfunctional beliefs and attitudes (OR: 2.497, 95% CI: [1.65, 3.80]) than those who were unmarried. Further analysis showed that the odds of developing poor sleep quality and DBAS in participants who married but living apart were significantly bigger than those unmarried (OR: 1.548 and 3.991, respectively.), while there were no significant differences in the odds of daytime sleepiness (OR: 0.738, Conclusion: Marital status appear important for sleep quality, daytime sleepiness and sleep beliefs. The effect of living apart or not should be considered separately as an important predictor of sleep.

Indexed as

daytime sleepinessdysfunctional sleep beliefsmarital statusmilitary personnelsleep quality

Identifiers

PMID37575585
PMCPMC10412872
OpenAlexW4385307706

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.