Information on depression, anxiety and predictors for these mental illnesses among the staff of the academic institution is sparse. Hence, this study aimed to determine the prevalence of these mental illnesses and investigate possible predictors. Depression, Anxiety and Stress Scale 21-item and pro forma questionnaires were used to assess the presence of depression, anxiety, sociodemographic, personal and job-related factors. Of 278 participants, 27.7% had depression, and 26.7% had anxiety. Predictors for depression include inadequate workplace facilities, low-tier job category, working in urban campus and low income. Predictors for clinical anxiety were high workplace responsibility and low-tier job category. Keywords: Depression; Anxiety; Academic Institution; Staff 2398-4279 © 2019 The Authors. Published for AMER ABRA CE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.  DOI: https://doi.org/10.21834/ajqol.v4i17.197

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.

Information on depression and its contributing factors among the staff of the academic institution is sparse. Hence, this study aimed to determine the prevalence of depression among them and investigate its contributing factors. We used the Depression, Anxiety and Stress Scale 21-item and pro forma questionnaires to assess the presence of depression, sociodemographic factors, personal factors and job-related factors. Of 278 participants, 27.7% had clinical depression. Contributing factors include inadequate workplace facilities, low-tier job category, working in urban campus and low income. Addressing factors underpin depression among staff in the academic institution is crucial to ensure early interventions can be offered.Keywords: Depression; Academic Institution; Workers; Contributing FactorseISSN: 2398-4287 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v4i12.1894