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The Adopt-A-Park Programme has 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

Familial hypercholesterolaemia (FH) is a genetic disease that causes the elevation of low-density lipoprotein cholesterol (LDL-C), which subsequently leads to premature coronary heart disease (CHD). Features which have been reported to be associated with FH include lipids level, tendon xanthomata, and history of CHD. The Ordinal Logistic Regression model using the classification of FH patients with the Dutch Lipid Clinic Network Criteria (DLCN) as the dependent variable (where 1=Possible, 2=Probable, 3=Definite) was developed and evaluated for different types of link functions. The FH patients (n = 449) were recruited from health screening programmes conducted in hospitals and clinics in Malaysia from 2010 to 2018. Results indicate there is a significant association between FH categories with demographic factors (ethnicity and smoking) and physical symptoms (corneal arcus and xanthomata). The Ordinal Logistic Regression using Cauchit link function has lower Akaike Information Criterion (AIC) value, higher Nagelkerke's R-Square and classification accuracy compared to Probit and Logit link function, diastolic blood pressure, corneal arcus and xanthomata were found to be significant covariates of FH.

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