Evidence map›Paper›PMID 39604862›Full record

ArticleBMC pregnancy and childbirth2024

Neglected sleep quality problems in women with gestational diabetes mellitus: a multi-center cross-sectional study.

Jingya Yu, Zhixiang Chen, Yanhan Chen, Xingyu Wang, Zhongchen Luo, Jili Fan, Lingyao Chen, Qinghua Zhao, Jiao Tang

Abstract readMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2024. 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. Review
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

9 authors.

Jingya YuSchool of Nursing, Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China.
Zhixiang ChenSchool of Nursing, Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China.
Yanhan ChenSchool of Nursing, Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China.
Xingyu WangSchool of Nursing, Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China.
Zhongchen LuoSchool of Nursing, Guizhou Medical University, 9#, Bei Jing Road, Guizhou, 550025, China.
Jili FanSchool of Nursing, Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China.
Lingyao ChenSchool of Nursing, Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China.
Qinghua ZhaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China.
Jiao TangSchool of Nursing, Chongqing Medical University, 1#, Medical College Road, Chongqing, 400016, China. tangjiao9209@cqmu.edu.cn.

Funding

National Natural Science Foundation of China 82260646Science and Technology Research Project of the Chongqing Municipal Education Commission KJQN202200473Scientific Research and Innovation Experiment Project of Chongqing Medical University 202260Scientific Research and Innovation Experiment Project of Chongqing Municipal Education Commission 202210631060
6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is the most common complication of pregnancy, affecting an estimated 16.7% of live births worldwide, which translates to approximately 21 million cases annually. Although poor sleep quality is a prevalent concern in this population, most existing studies predominantly focus on the impact of sleep disorders on GDM, rather than directly assessing sleep quality in women diagnosed with GDM. This study aimed to investigate sleep quality and its associated factors specifically among women with GDM.

methodsWe originally aimed to include 287 women with GDM; ultimately, 618 were invited, of whom 393 participated in the survey through a convenience sampling method at the obstetric clinics of four general tertiary hospitals in Chongqing, China, from June to August 2022. Data were collected utilizing sociodemographic characteristics, the Pittsburgh Sleep Quality Index (PSQI), the Sleep Hygiene Scale, and the Pregnancy-related Anxiety Scale (PrAS). We employed linear regression analysis to identify factors associated with sleep quality.

resultsThe PSQI score of participants was (5.83 ± 3.41). Notably, 43.77% of participants reported an actual sleep duration of less than 8 h per night, whereas 45.55% experienced poor sleep quality. Worrying during the day about your inability to fall asleep (β = 0.204, P < 0.01), body image concern (β = 0.159, P < 0.01), going to bed thirsty (β = 0.160, P < 0.01), educational attainment (β=-0.150, P < 0.01), avoidance (β = 0.124, P < 0.01), sleep disturbed by bed partner's sleep (β = 0.126, P < 0.01), and worrying as you prepare for bed about your inability to fall asleep (β = 0.137, P < 0.05) significantly affected the sleep quality of participants.

conclusionsThe study revealed a high prevalence of insufficient sleep duration and poor sleep quality among women with GDM, which was significantly influenced by inadequate sleep hygiene habits and pregnancy-related anxiety. These findings enhance our understanding of the factors affecting sleep quality in this population and underscore the necessity for healthcare professionals to timely identify sleep disorders. Implementing appropriate interventions, such as the development of educational programs focused on sleep hygiene and body image acceptance through cognitive behavioral therapy, could enhance the quality of care for women with GDM.

Indexed as

Diabetes, GestationalSleep QualitySleep Wake DisordersAdultAnxietyChinaCross-Sectional StudiesFemaleHumansPregnancySurveys and QuestionnairesAnxietyCross-sectional studyGestational diabetes mellitusSleep hygieneSleep quality

Identifiers

PMID39604862
PMCPMC11600648

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.