Evidence map›Paper›PMID 39575039›Full record

ArticleCureus2024

Quality of Life of Pregnant Women With Medical Disorders in Ibadan, Nigeria.

Oluwasomidoyin Bello, Olaolu Oni, Dorcas Ajekola, Margaret Ogunkuade

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Oluwasomidoyin BelloObstetrics and Gynaecology, University of Ibadan, Ibadan, NGA.
Olaolu OniObstetrics and Gynaecology, University of Ibadan, Ibadan, NGA.
Dorcas AjekolaNursing, University of Ibadan, Ibadan, NGA.
Margaret OgunkuadeObstetrics and Gynaecology, University College Hospital, Ibadan, NGA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Pregnant women's psychological and physical states may be greatly impacted by pregnancy-related changes, especially those with medical disorders. This study aimed to determine the quality of life (QoL) of pregnant women with medical disorder(s), associated factors, and the most affected domain. Methodology A cross-sectional study was conducted among 337 antenatal attendees with at least one medical disorder in a tertiary hospital using a self-administered questionnaire. The World Health Organization Quality of Life Brief Version standardized questionnaire was used to assess the QoL of pregnant women across various domains. Data were analyzed using SPSS version 27 (IBM Corp., Armonk, NY, USA). Univariate and bivariate analyses were used to examine the differences in QoL scores across various domains and maternal variables with the level of statistical significance set at p-values <0.05. Results The mean age of the participants was 32.43 (±4.74) years and the mean overall QoL score was 85.04 ± 9.61 with high health satisfaction at 84.10 ± 10.74. The psychological domain was most affected with a QoL of 62.78 ± 9.26. Hypertensive disorders were most prevalent 77 (23.0%). Those who had a single medical disorder had a better QoL compared to those with multiple medical disorders, 85.15 ± 9.67 vs. 84.06 ± 9.11, respectively. Educational status (p = 0.04) and occupation (p < 0.01) were significantly associated with overall QoL. Gestational age was associated with the women's QoL in the physical health domain (p = 0.01). Conclusions The QoL of pregnant women with medical disorder(s) was good; however, there is a need to improve their socioeconomic and psychological support. Educating a girl child might improve her QoL during pregnancy.

Indexed as

chronic medical illnessesmedical illnessespregnant womenquality of lifewho quality of life brief version (whoqol-bref)

Identifiers

PMID39575039
PMCPMC11580756

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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.