The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life
Experiencing good quality of life (QOL) among university staff is extremely crucial to ensuring academic excellence; however, there are limited data on factors that contribute to QOL among university staff. This study aims to determine the level and the predictors for good QOL among university staff...
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doaj-7be0007bdc544531bdab3416561db19f2021-08-09T05:31:58ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-08-011210.3389/fpsyt.2021.705018705018The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of LifeMohd Izwan Mat Nazali0Salmi Razali1Salmi Razali2Suthahar Ariaratnam3Yuhaniz Ahmad4Hapizah Nawawi5Hapizah Nawawi6Department of Psychiatry, Faculty of Medicine, Selangor Campus, Universiti Teknologi MARA, Shah Alam, MalaysiaDepartment of Psychiatry, Faculty of Medicine, Selangor Campus, Universiti Teknologi MARA, Shah Alam, MalaysiaInstitute for Pathology, Laboratory, and Forensic Medicine (I-PPerForM), Shah Alam, MalaysiaDepartment of Psychiatry, Faculty of Medicine, Universiti Teknologi MARA, Cawangan Selangor, Kampus Selayang, Shah Alam, MalaysiaSchool of Quantitative Sciences, Universiti Utara Malaysia, Changlun, MalaysiaInstitute for Pathology, Laboratory, and Forensic Medicine (I-PPerForM), Shah Alam, MalaysiaI-PPerForM (Institute of Pathology, Forensic and Laboratory Medicine) and Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, MalaysiaExperiencing good quality of life (QOL) among university staff is extremely crucial to ensuring academic excellence; however, there are limited data on factors that contribute to QOL among university staff. This study aims to determine the level and the predictors for good QOL among university staff. The consenting participants were selected using a stratified sampling method. Participants who had fulfilled the selection criteria were provided with socio-demographic, medical illness, job factor, and family background questionnaires. QOL and psychological well-being (depression, anxiety, and stress) were assessed using the World Health Organization Quality of Life brief version (WHOQOL-BREF) and Depression, Anxiety, and Stress Scale (DASS-21) questionnaires, respectively. A total of 278 staff (mean ± SD age: 38.84 ± 7.85 years, 44.2% males, 82.7% married) had participated in this study. This study found that participants had low QOL in the domains of physical health [P-QOL] (11.2%), psychological health [PSY-QOL] (9.7%), social relationships [SR-QOL] (19.1%), and environment [E-QOL] (14.4%). The predictors of P-QOL were depression, medical illness, and number of dependents, while those of PSY-QOL were work promotion, depression, medical illness, and number of dependents. Additionally, the predictors of SR-QOL were campus location, depression, and work promotion, while those of E-QOL were age, level of education, depression, work promotion, and medical illness. Depression significantly affected all domains of QOL. Younger participants without medical illness and those with tertiary level of education had increased odds of having good QOL. Participants having dependents without work promotion and employed in suburban areas had decreased odds of having good QOL. The relevant authority should be identified and then assist staff with difficulties to ensure the staff benefited from having a good QOL.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.705018/fullquality of lifeuniversity staffdepressionjob satisfactionpredictors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohd Izwan Mat Nazali Salmi Razali Salmi Razali Suthahar Ariaratnam Yuhaniz Ahmad Hapizah Nawawi Hapizah Nawawi |
spellingShingle |
Mohd Izwan Mat Nazali Salmi Razali Salmi Razali Suthahar Ariaratnam Yuhaniz Ahmad Hapizah Nawawi Hapizah Nawawi The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life Frontiers in Psychiatry quality of life university staff depression job satisfaction predictors |
author_facet |
Mohd Izwan Mat Nazali Salmi Razali Salmi Razali Suthahar Ariaratnam Yuhaniz Ahmad Hapizah Nawawi Hapizah Nawawi |
author_sort |
Mohd Izwan Mat Nazali |
title |
The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life |
title_short |
The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life |
title_full |
The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life |
title_fullStr |
The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life |
title_full_unstemmed |
The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life |
title_sort |
2019 universiti teknologi mara, malaysia staff survey: determining the level and predictors of quality of life |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychiatry |
issn |
1664-0640 |
publishDate |
2021-08-01 |
description |
Experiencing good quality of life (QOL) among university staff is extremely crucial to ensuring academic excellence; however, there are limited data on factors that contribute to QOL among university staff. This study aims to determine the level and the predictors for good QOL among university staff. The consenting participants were selected using a stratified sampling method. Participants who had fulfilled the selection criteria were provided with socio-demographic, medical illness, job factor, and family background questionnaires. QOL and psychological well-being (depression, anxiety, and stress) were assessed using the World Health Organization Quality of Life brief version (WHOQOL-BREF) and Depression, Anxiety, and Stress Scale (DASS-21) questionnaires, respectively. A total of 278 staff (mean ± SD age: 38.84 ± 7.85 years, 44.2% males, 82.7% married) had participated in this study. This study found that participants had low QOL in the domains of physical health [P-QOL] (11.2%), psychological health [PSY-QOL] (9.7%), social relationships [SR-QOL] (19.1%), and environment [E-QOL] (14.4%). The predictors of P-QOL were depression, medical illness, and number of dependents, while those of PSY-QOL were work promotion, depression, medical illness, and number of dependents. Additionally, the predictors of SR-QOL were campus location, depression, and work promotion, while those of E-QOL were age, level of education, depression, work promotion, and medical illness. Depression significantly affected all domains of QOL. Younger participants without medical illness and those with tertiary level of education had increased odds of having good QOL. Participants having dependents without work promotion and employed in suburban areas had decreased odds of having good QOL. The relevant authority should be identified and then assist staff with difficulties to ensure the staff benefited from having a good QOL. |
topic |
quality of life university staff depression job satisfaction predictors |
url |
https://www.frontiersin.org/articles/10.3389/fpsyt.2021.705018/full |
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