1.Predictors of General Functioning and Correlates of Quality of Life: A Cross-Sectional Study among Psychiatric Outpatients.
Louisa PICCO ; Ying Wen LAU ; Shirlene PANG ; Anitha JEYAGURUNATHAN ; Janhavi A VAINGANKAR ; Edimansyah ABDIN ; Siow Ann CHONG ; Mythily SUBRAMANIAM
Annals of the Academy of Medicine, Singapore 2018;47(1):3-12
INTRODUCTIONFunctioning and quality of life (QOL) are negatively impacted as a result of mental illness. This study aimed to determine the: i) socio-demographic and clinical correlates of functioning and; ii) associations between functioning and QOL in a multiethnic sample of psychiatric outpatients.
MATERIALS AND METHODSThis was a cross-sectional study of outpatients receiving treatment from a tertiary psychiatric hospital. Functioning was assessed using the Global Assessment of Functioning (GAF) scale, while QOL was measured using the World Health Organization Quality of Life-BREF (WHOQOL-BREF) which comprises 4 domains: physical health, psychological health, social relationships and environment.
RESULTSVarious socio-demographic and clinical correlates were associated with functioning including employment and marital status, education and diagnosis. Depression was the only clinical characteristic which negatively correlated with functioning (= 0.035). Amongst the whole sample, multiple linear regressions revealed that functioning was positively associated with all 4 QOL domains (physical health [<0.001], psychological health [<0.001], social relationships [<0.001] and environment [<0.001]). Further analysis of each diagnostic group revealed that functioning was positively associated with all 4 QOL domains in the anxiety, depression and obsessive compulsive disorder subsamples, while in the schizophrenia subsample, functioning was only significantly associated with all environment domain.
CONCLUSIONFunctional impairments were associated with different socio-demographic and clinical characteristics, which should be addressed when planning tailored treatment and interventions. Given that functioning is significantly associated with QOL, it is crucial to regularly assess and monitor them (in addition to symptomatic outcomes and adopting a more holistic and biopsychosocial approach).
2.Screening for Drinking Problems in the Elderly in Singapore Using the CAGE Questionnaire.
Clarissa Wy ONG ; Vathsala SAGAYADEVAN ; Edimansyah ABDIN ; Saleha Binte SHAFIE ; Anitha JEYAGURUNATHAN ; Goi Khia ENG ; Louisa PICCO ; Janhavi VAINGANKAR ; Siow Ann CHONG ; Mythily SUBRAMANIAM
Annals of the Academy of Medicine, Singapore 2016;45(10):456-465
INTRODUCTIONGiven that past research on drinking problems has focused primarily on younger samples, the present study sought to examine the prevalence and correlates of alcohol use among the elderly in Singapore.
MATERIALS AND METHODSData were extracted from the Well-being of the Singapore Elderly (WiSE) study, a cross-sectional, epidemiological survey conducted among a nationally representative sample of Singapore residents (n = 2565) aged 60 years and above. Variables assessed include drinking problems, depression and anxiety symptoms, obesity, smoking status, chronic physical disorders and disability.
RESULTSThe weighted prevalence of drinking problems (CAGE score ≥2) in our sample was 4.2%. Male sex, Indian ethnicity, and being divorced or separated were associated with a significantly higher likelihood of drinking problems. Participants with drinking problems were also more likely to have subthreshold depression. There were no significant differences in disability among those with drinking problems, those without drinking problems and non-drinkers, after adjusting for demographic variables.
CONCLUSIONOur findings contribute to the body of research that indicates an association between drinking problems and depressive symptoms among the elderly. Thus, screening for depressive symptoms in the elderly with drinking problems may be useful in identifying such comorbidities in order to aid treatment planning.
Aged ; Aged, 80 and over ; Alcohol-Related Disorders ; diagnosis ; epidemiology ; psychology ; Alcoholism ; diagnosis ; epidemiology ; psychology ; Anxiety ; epidemiology ; psychology ; Chronic Disease ; Cross-Sectional Studies ; Depression ; epidemiology ; psychology ; Divorce ; statistics & numerical data ; Ethnic Groups ; Female ; Humans ; India ; Male ; Marital Status ; Mass Screening ; Middle Aged ; Obesity ; epidemiology ; Prevalence ; Risk Factors ; Sex Factors ; Singapore ; epidemiology ; Smoking ; epidemiology ; Surveys and Questionnaires