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

doi:10.3389/fpsyg.2024.1318584

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

Front Psychol. 2024 Feb 1:15:1318584. doi: 10.3389/fpsyg.2024.1318584. eCollection 2024.

Authors

Alham Al-Sharman^{1

2

3}, Areen Al-Sarhan², Ala Aburub², Raid Shorman⁴, Ali Bani-Ahmad², Catherine Siengsukon⁵, Wegdan Bani Issa^{3

6}, Dana N Abdelrahim³, Heba Hijazi^{7

8}, Hanan Khalil⁹

Affiliations

¹ Department of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
² Department of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
³ Research Institute of Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
⁴ Department of Allied Medical Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
⁵ Department of Physical Therapy, Rehabilitation Science, & Athletic Training, University of Kansas Medical Center, Kansas City, KS, United States.
⁶ Department of Nursing, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
⁷ Department of Health Care Management, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
⁸ Department of Health Management and Policy, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
⁹ Department of Rehabilitation Sciences, College of Health Sciences, QU Health, Doha, Qatar.

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 (r = 0.17, p = 0.016) and QoL, and significant negative correlation between the stage of disease (r = -0.221, p = 0.002) and duration of first diagnosis (r = -0.280, p = 0.004) with QoL. Poor sleep quality, sexual dysfunction, fatigue, depression, and anxiety had significant negative correlations with QoL (p < 0.01). Multiple regression analysis revealed that among the various factors that might affect QoL, sexual dysfunction, poor sleep quality, depression, and anxiety were significant predictors of QoL (p ≤ 0.05).

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.

Keywords: ICF model; Jordan; breast cancer; predictor factors; quality of life.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Jordan University of science and technology. Grant number: AA-20200491.