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...
Published in: | Frontiers in Psychiatry |
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2021
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2-s2.0-85113283589 Nazali M.I.M.; Razali S.; Ariaratnam S.; Ahmad Y.; Nawawi H. The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life 2021 Frontiers in Psychiatry 12 10.3389/fpsyt.2021.705018 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113283589&doi=10.3389%2ffpsyt.2021.705018&partnerID=40&md5=37de30c1558693e952c0389924b48099 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. © Copyright © 2021 Nazali, Razali, Ariaratnam, Ahmad and Nawawi. Frontiers Media S.A. 16640640 English Article All Open Access; Gold Open Access; Green Open Access |
author |
Nazali M.I.M.; Razali S.; Ariaratnam S.; Ahmad Y.; Nawawi H. |
spellingShingle |
Nazali M.I.M.; Razali S.; Ariaratnam S.; Ahmad Y.; Nawawi H. The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life |
author_facet |
Nazali M.I.M.; Razali S.; Ariaratnam S.; Ahmad Y.; Nawawi H. |
author_sort |
Nazali M.I.M.; Razali S.; Ariaratnam S.; Ahmad Y.; Nawawi H. |
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 |
The 2019 Universiti Teknologi MARA, Malaysia Staff Survey: Determining the Level and Predictors of Quality of Life |
publishDate |
2021 |
container_title |
Frontiers in Psychiatry |
container_volume |
12 |
container_issue |
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doi_str_mv |
10.3389/fpsyt.2021.705018 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113283589&doi=10.3389%2ffpsyt.2021.705018&partnerID=40&md5=37de30c1558693e952c0389924b48099 |
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. © Copyright © 2021 Nazali, Razali, Ariaratnam, Ahmad and Nawawi. |
publisher |
Frontiers Media S.A. |
issn |
16640640 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677595964342272 |