Evidence map›Paper›PMID 37996812›Full record

ArticleBMC public health2023

Prevalence and associated factors of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China.

Xu Chen, Yuan Liu, Meilin Liu, Fanli Min, Jiao Tong, Wei Wei, Lizhou Sun, Teng Zhang, Qian Meng

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. 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

9 authors at 2 institutions in 1 country.

Xu Chen *Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
Yuan Liu *Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
Meilin Liu *Lianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
Fanli MinLianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
Jiao TongLianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
Wei WeiLianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China.
Lizhou SunFirst Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Teng ZhangLianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China. zhangteng99@163.com.
Qian MengLianyungang Maternal and Child Health Hospital, 669 Qindongmen Street, Haizhou District, Lianyungang, Jiangsu, China. lygmq6326@163.com.
Lianyungang Maternal and Children’s Hospital · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsomnia is the most common sleep disorder in the general population, especially among pregnant women, and it is considered a major public health issue. Not only can it cause mental and physical problems in pregnant women, but it may also affect the growth of the fetus. However, there are few reports on the prevalence and influencing factors of insomnia symptoms in third-trimester women in China. The objective of this study was to assess the prevalence of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China and to further explore the associated factors of insomnia symptoms from various aspects.

methodsA cross-sectional survey was conducted among eligible pregnant women in the third trimester from December 2022 to February 2023. Data on socio-demographic characteristics, clinical characteristics, and behavioral and psychological characteristics of pregnant women were collected through a structured questionnaire. The Chi-square test and multivariate logistics regression were applied to explore the associated factors of insomnia symptoms.

resultsA total of 535 pregnant women in the third trimester were included in this study, and the prevalence of insomnia symptoms was 59.8%. Multivariate logistic regression analysis revealed that pregnant women who lived together with elders (OR: 0.58, 95% CI: 0.40-0.86), had low perceived stress (OR: 0.58, 95% CI: 0.35-0.97), had no threatened abortion (OR: 0.55, 95% CI: 0.32-0.93) and had good doctor-patient communication (OR: 0.66, 95% CI: 0.45-0.98) were more likely to stay away from insomnia symptoms. However, pregnant women with anxiety symptoms (OR: 2.27, 95% CI: 1.28-4.03), fear of childbirth (OR: 1.63, 95% CI: 1.11-2.40) and a high experience of COVID-19 fear (OR: 1.61, 95% CI: 1.03-2.54) tended to have insomnia symptoms.

conclusionsThe prevalence of insomnia symptoms in pregnant women is high in Lianyungang city in eastern China in the third trimester. Insomnia symptoms is influenced by multiple factors. There is an urgent need to develop interventions to reduce the prevalence of insomnia symptoms in the third trimester and to focus on pregnant women with risk factors for insomnia symptoms.

Indexed as

Pregnant PeopleSleep Initiation and Maintenance DisordersAgedChinaCross-Sectional StudiesDepressionFemaleHumansParturitionPregnancyPregnancy Trimester, ThirdPrevalenceAssociated factorsChinaInsomnia symptomsIn the third trimesterPregnant women

Identifiers

PMID37996812
PMCPMC10668519
OpenAlexW4388940187

What OpenQuestion holds

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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.