Evidence map›Paper›PMID 35111720›Full record

ArticleFrontiers in public health2021

Profile and Predictors of Maternal Quality of Life During Physiological Pregnancy: A Cross-Sectional Analysis.

Rabia Ishaq, Maryam Shoaib, Nosheen Sikander Baloch, Abdul Sadiq, Abdul Raziq, Zil E Huma, Shanaz Raza, Fakhra Batool, Sajjad Haider, Fahad Saleem and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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  12. The dyadic associations among self-efficacy, dyadic coping, and health-related quality of life between high-risk pregnant women and spouses: a cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  13. Predictors Related to Quality of Life in Pregnant Women.Iranian journal of public health · 2023
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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

13 authors at 4 institutions in 2 countries.

Rabia IshaqFaculty of Pharmacy & Health Sciences, University of Baluchistan, Quetta, Pakistan.
Maryam ShoaibDepartment of Gynecology and Obstetrics, Sandeman Provincial Hospital, Quetta, Pakistan.
Nosheen Sikander BalochDepartment of Gynecology and Obstetrics, Bolan Medical College, Quetta, Pakistan.
Abdul SadiqDepartment of Biochemistry, Jhalawan Medical College Khuzdar, Khuzdar, Pakistan.
Abdul RaziqDepartment of Statistics, University of Baluchistan, Quetta, Pakistan.
Zil E HumaDepartment of Zoology, Sardar Bahadur Khan Women's University, Quetta, Pakistan.
Shanaz RazaDepartment of Pharmacy, Sardar Bahadur Khan Women's University, Quetta, Pakistan.
Fakhra BatoolDepartment of Pharmacy, Sardar Bahadur Khan Women's University, Quetta, Pakistan.
Sajjad HaiderFaculty of Pharmacy & Health Sciences, University of Baluchistan, Quetta, Pakistan.
Fahad SaleemFaculty of Pharmacy & Health Sciences, University of Baluchistan, Quetta, Pakistan.
Nafees AhmadFaculty of Pharmacy & Health Sciences, University of Baluchistan, Quetta, Pakistan.
Qaiser IqbalFaculty of Pharmacy & Health Sciences, University of Baluchistan, Quetta, Pakistan.
Amer Hayat KhanSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia.
University of Balochistan · PKSardar Bahadur Khan Women's University · PKBolan Medical College · PKUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality of Life (QoL) and its determinants are significant in all stages of life, including pregnancy. The physical and emotional changes during pregnancy affect the QoL of pregnant women, affecting both maternal and infant health. Hence, assessing the QoL of pregnant women is gaining interest in literature. We, therefore, aimed to describe the QoL of pregnant women during physiological pregnancy and to identify its associated predictors in women attending a public healthcare institute of Quetta city, Pakistan.

methodsA cross-sectional study was conducted at the Obstetrics and Gynecology Department of Sandeman Provincial Hospital Quetta city, Pakistan. The respondents were asked to answer the Urdu (lingua franca of Pakistan) version of the Quality of Life Questionnaire for Physiological Pregnancy. Data were coded and analyzed by SPPS v 21. The Kolmogorov-Smirnov test was used to establish normality of the data and non-parametric tests were used accordingly. Quality of Life was assessed as proposed by the developers. The Chi-square test was used to identify significant associations and linear regression was used to identify the predictors of QoL. For all analyses,

resultsFour hundred and three pregnant women participated in the study with a response rate of 98%. The mean QoL score was 19.85 ± 4.89 indicating very good QoL in the current cohort. The Chi-Square analysis reported a significant association between age, education, occupation, income, marital status, and trimester. Education was reported as a positive predictor for QoL (

conclusionImproving the QoL among pregnant women requires better identification of their difficulties and guidance. The current study highlighted educational status and trimester as the predictors of QoL in pregnant women. Health care professionals and policymakers should consider the identified factors while designing therapeutic plans and interventions for pregnant women.

Indexed as

Pregnant PeopleQuality of LifeCohort StudiesCross-Sectional StudiesFemaleHumansPregnancySurveys and Questionnairescross-sectional analysismaternal Quality of Lifephysiological pregnancypredictorsprofile

Identifiers

PMID35111720
PMCPMC8801871
OpenAlexW4205935205

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.