Evidence map›Paper›PMID 39512961›Full record

ArticleCureus2024

Sleep Disturbances Among Pregnant Women Attending a Maternity Teaching Hospital in Erbil, Iraq.

Srwa Abdulrahman Mustafa, Sahar Ismail Abdulla, Tiran Jamil Piro, Wahida Abdulla Ibrahim, Shaymaa Sameer Maqsood, Abdulmalik F Saber

Abstract read
In one paragraph

Article in Cureus, 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. 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

6 authors.

Srwa Abdulrahman MustafaDepartment of Nursing, College of Nursing, Hawler Medical University, Erbil, IRQ.
Sahar Ismail AbdullaDepartment of Nursing, College of Nursing, Hawler Medical University, Erbil, IRQ.
Tiran Jamil PiroDepartment of Nursing, College of Nursing, Hawler Medical University, Erbil, IRQ.
Wahida Abdulla IbrahimDepartment of Nursing, College of Nursing, Hawler Medical University, Erbil, IRQ.
Shaymaa Sameer MaqsoodDepartment of Nursing, College of Nursing, Hawler Medical University, Erbil, IRQ.
Abdulmalik F SaberDepartment of Nursing, College of Nursing, Hawler Medical University, Erbil, IRQ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim Sleep disturbances during pregnancy are a common occurrence and can significantly impact both maternal and fetal health. Therefore, this study aimed to assess the severity of sleep disturbances among pregnant women attending the Erbil Maternity Teaching Hospital in Erbil, Iraq. Method This cross-sectional study was conducted from July 15, 2023, to August 15, 2024, at the Erbil Maternity Teaching Hospital in Erbil using convenience sampling. Data were gathered using a self-structured questionnaire that included demographic information and a 20-item sleep disturbance assessment. Statistical analysis was performed using Stata version 12 (StataCorp LLC, College Station, TX), and parametric tests such as the t-test, ANOVA, and multiple linear regression were used to examine the relationships between sleep disturbances and demographic variables. A p-value of less than 0.001 was considered statistically significant. Results A total of 300 participants were enrolled in the study. The mean sleep disturbance score was 47.58 ± 9.83, indicating that most participants experienced mild sleep disturbances. Sleep disturbances did not significantly differ by age, education level, occupation, or residency. However, economic status was significantly associated with sleep disturbance levels, with lower-income participants experiencing more severe disturbances (p = 0.02). Conclusions The study found that most pregnant women experienced mild sleep disturbances, with lower economic status being a significant predictor of more severe sleep issues. Healthcare providers and policymakers are recommended to develop targeted interventions that address the unique needs of pregnant women, particularly those from lower-income groups, to improve sleep quality and overall maternal health outcomes.

Indexed as

maternal healthpregnancypregnant womensleep disturbancesleep quality

Identifiers

PMID39512961
PMCPMC11542672

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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.