Evidence map›Paper›PMID 41350364›Full record

ArticleScientific reports2025

Association of excessive daytime sleepiness with anxiety, depressive symptoms, and quality of work life among maternal and child health nurses.

YingPing Wang, JiaNing Li, XiuMin Jiang, QingXiang Zheng, XiaoQian Chen, YuQing Pan, XiaoXia Gao, MingHui Li, CuiLin Xie, JingYi Li and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 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

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

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

11 authors.

YingPing WangThe School of Nursing, Fujian Medical University, Fuzhou, Fujian, China.
JiaNing LiNeuropsychiatric Prevention and Treatment Hospital of Fuzhou Second General Hospital, Fuzhou, Fujian, China.
XiuMin JiangFujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China. jzc0427@163.com.
QingXiang ZhengFujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
XiaoQian ChenFujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
YuQing PanFujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
XiaoXia GaoFujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
MingHui LiThe School of Nursing, Fujian Medical University, Fuzhou, Fujian, China.
CuiLin XieThe School of Nursing, Fujian Medical University, Fuzhou, Fujian, China.
JingYi LiThe School of Nursing, Fujian Medical University, Fuzhou, Fujian, China.
QiLing WengFujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive daytime sleepiness (EDS) is associated with daytime dysfunction, impaired attention, longer reaction times, and other related issues, which may adversely affect the well-being and job performance of maternal and child health (MCH) nurses. However, the state of EDS among MCH nurses in China remains unclear, and few studies have focused on its associations with mental well-being and quality of work life (QWL). This study aims to investigate the prevalence of EDS among MCH nurses in China and explore its relationships with mental health (anxiety, depressive symptoms), and QWL. A multicenter cross-sectional study included 1426 MCH nurses selected from four hospitals in China. PSM was used to minimize the impact of potential confounders between the EDS and non-EDS groups. After PSM, binary logistic regression and multiple linear regression analyses were conducted to examine the associations of EDS with MCH nurses' mental health and QWL, respectively. The results showed that 24.2% of MCH nurses experienced EDS. Additionally, EDS was positively associated with symptoms of anxiety (OR = 1.548, 95% CI: 1.115-2.151) and depression (OR = 1.814, 95% CI: 1.311-2.512), while being negatively associated with the QWL of MCH nurses (β = - 0.114, P = 0.002). To improve the mental health and QWL of MCH nurses, it is crucial to adjust work schedules and reduce drowsiness, which plays a vital role in stabilizing the nursing workforce and enhancing patient care.

Indexed as

AnxietyDepressionDisorders of Excessive SomnolenceNursesQuality of LifeAdultChinaCross-Sectional StudiesFemaleHumansMalePrevalenceSurveys and QuestionnairesExcessive daytime sleepinessMaternal and child healthMental healthNursesPropensity score matchingQuality of work life

Identifiers

PMID41350364
PMCPMC12764485

What OpenQuestion 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 OpenQuestion graph.