Evidence map›Paper›PMID 38362250›Full record

ArticleFrontiers in psychology2024

Quality-of-life among women with breast cancer: application of the international classification of functioning, disability and health model.

Alham Al-Sharman, Areen Al-Sarhan, Ala Aburub, Raid Shorman, Ali Bani-Ahmad, Catherine Siengsukon, Wegdan Bani Issa, Dana N Abdelrahim, Heba Hijazi, Hanan Khalil

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 4 institutions in 4 countries.

Alham Al-SharmanDepartment of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Areen Al-SarhanDepartment of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Ala AburubDepartment of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Raid ShormanDepartment of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Ali Bani-AhmadDepartment of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Catherine SiengsukonDepartment of Physical Therapy, Rehabilitation Science, & Athletic Training, University of Kansas Medical Center, Kansas City, KS, United States.
Wegdan Bani IssaResearch Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Dana N AbdelrahimResearch Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Heba HijaziDepartment of Health Care Management, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Hanan KhalilDepartment of Rehabilitation Sciences, College of Health Sciences, QU Health, Doha, Qatar.
Jordan University of Science and Technology · JOUniversity of Sharjah · AEQatar Airways (Qatar) · QAUniversity of Kansas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to identify the factors that influence Breast Cancer (BC) women's quality of life (QoL) based on the International Classification of Functioning, Disability and Health (ICF) framework. Method: A cross-sectional study was conducted among 188 women with BC. The dependent variable, QoL, was measured using the Quality of Life Index (QLI-c). The independent variables were measured using the following Arabic-validated questionnaires: Pittsburgh Sleep Quality Index (PSQI), Female Sexual Function Index (FSFI), Modified Fatigue Impact Scale (MFIS), Hospital Anxiety and Depression Scale (HADS), and the International Physical Activity Questionnaire (IPAQ). Results: There was a significant positive correlation between monthly income ( Conclusion: The ICF provided an excellent framework to explore the factors influencing QoL among women with BC. This study has given evidence for the relationship of demographic, clinical, and body functional factors with QoL among women with BC. Interestingly, sexual dysfunction, poor sleep quality, depression, and anxiety factors are predictors of QoL. Awareness of these factors that predict QoL will guide healthcare professionals to improve the health and QoL of BC women.

Indexed as

breast cancerICF modelJordanpredictor factorsquality of life

Identifiers

PMID38362250
PMCPMC10867976
OpenAlexW4391449127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.