INTRODUCTION: Few studies have examined the changes in the prevalence of comorbidity of mental and physical disorders in recent years. The present study sought to examine whether the prevalence of comorbidity of mental and physical disorders in Singapore showed any changes between 2010 and 2016. METHODS: We extracted data from two repeated nationally representative cross-sectional surveys conducted among resident adults aged ≥ 18 years in Singapore. Significant changes were tested using pooled multinomial logistic regression analyses. RESULTS: The prevalence of comorbid mental and physical disorders increased significantly from 5.8% in 2010 to 6.7% in 2016. Among those with physical disorders, there were significant increases over time in the prevalence of comorbid generalised anxiety disorder (GAD) (0.1% vs. 0.4%) and obsessive-compulsive disorder (OCD) (1.4% vs. 3.9%) in diabetes mellitus, and alcohol dependence in cardiovascular disorders (0.1% vs. 1.3%). Among those with mental disorders, there were significant increases over time in the prevalence of comorbid diabetes mellitus in OCD (4.1% vs. 10.9%), cancer in major depressive disorder (0.4% vs. 2.4%), and cardiovascular disorders in GAD (0.4% vs. 6.7%) and alcohol dependence (0.9% vs. 11.8%). Significant changes in the overall prevalence of comorbid mental and physical disorders were also observed across age group, education and employment status. CONCLUSION The prevalence of comorbid mental and physical disorders increased significantly over time. This finding supports the need for more appropriate clinical management with better integration between mental health and general medical care professionals across all aspects of the healthcare system to treat this comorbidity in Singapore.
Adult ; Alcoholism/epidemiology* ; Comorbidity ; Cross-Sectional Studies ; Depressive Disorder, Major/epidemiology* ; Humans ; Mental Disorders/epidemiology* ; Prevalence ; Singapore/epidemiology*

INTRODUCTION: This paper aims to examine the (1) level of positive mental health (PMH), (2) identify the socio-demographic correlates of the PMH domains in the general population, and (3) establish if employment status moderates the relationship between major depressive disorder (MDD) and PMH among those with a lifetime prevalence of MDD. METHODS: The Singapore Mental Health Study conducted between 2016 and 2018 included Singapore residents aged ≥18 years. The World Health Organization Composite International Diagnostic Interview version 3.0 was utilised to establish lifetime prevalence of MDD. Moderation analysis was conducted using SPSS PROCESS macro (Hayes, 2017) to assess if employment status moderated the relationship between MDD and PMH. RESULTS: Significantly lower PMH total and domain scores were reported by respondents (n=2,270) who endorsed lifetime MDD compared to those who did not. Moderation analysis demonstrated that the effect of MDD on PMH total and domain scores varied considerably across employment status. Based on the interaction plots, the effect of MDD on both PMH total and domain scores was minimal among those employed than unemployed. CONCLUSION Healthcare professionals should support the employment needs of those who report lifetime MDD to provide care for an individual's mental well-being in a holistic manner. Acquiring or remaining in employment would be a priority depending on the PMH of the individual. Reducing barriers to employment for those with health issues or creating employment opportunities for this group are concerns that need to be addressed at a societal level.
Adolescent ; Adult ; Depressive Disorder, Major/epidemiology* ; Employment ; Humans ; Mental Health ; Prevalence ; Unemployment

Attitude ; Employment ; Humans ; Mental Disorders/therapy* ; Mental Health

INTRODUCTION: The study assessed whether self-reported height, weight and derived body mass index (BMI) can provide an accurate measure of anthropometric data in a multiethnic adult population in Singapore. METHODS: Standardised anthropometric measurements were compared against the self-reported values from 5,132 adult residents in a cross-sectional, epidemiological survey. Discrepancies in self-reports from measurements were examined by comparing overall mean differences. Intraclass correlations, Cohen's kappa and Bland-Altman plots with limits of agreement, and sub-analysis by sex and ethnicity were also explored. RESULTS: Data were obtained from 5,132 respondents. The mean age of respondents was 43.9 years. Overall, the height was overestimated (0.2cm), while there was an underestimation of weight (0.8kg) and derived BMI (0.4kg/m2). Women had a larger discrepancy in height (0.35cm, 95% confidence interval [CI] 0.22 to 0.49), weight (-0.95kg, 95% CI -1.11 to -0.79) and BMI (-0.49kg/m2, 95% CI -0.57 to -0.41) compared with men. Height reporting bias was highest among Indians (0.28cm, 95% CI 0.12 to 0.44) compared with Chinese and Malays, while weight (-1.32kg, 95% CI -1.53 to -1.11) and derived BMI (-0.57kg/m2, 95% CI -0.67 to -0.47) showed higher degrees of underreporting among Malays compared with Chinese and Indians. Substantially high self-reported versus measured values were obtained for intraclass correlations (0.96-0.99, CONCLUSION Self-reported anthropometric estimates can be used, particularly in large epidemiological studies. However, sufficient care is needed when evaluating data from Indians, Malays and women as there is likely an underestimation of obesity prevalence.

INTRODUCTION: Nutritional psychiatry is an emerging field of study that investigates the role of diet and nutrition in mental health. Studies conducted in the general population have linked depressive symptoms with poor dietary patterns. The aim of this study was to characterise the dietary intake and analyse the dietary pattern using the Dietary Approach to Stop Hypertension (DASH) in a sample of psychiatric patients in a multiethnic Asian nation. METHODS: Participants were recruited from an outpatient clinic and an inpatient unit at the Institute of Mental Health in Singapore. Self-reported dietary habits of a sample of psychiatric patients (N=380) were analysed using DASH. To examine the variables associated with DASH scores, a linear regression was conducted with the full sample and sociodemographic variables. RESULTS: Persons with depressive disorders had a mean DASH score of 21.3 (±4.2), while persons with psychotic disorders had a mean DASH score of 21.2 (±4.9). Respondents who were older (B=1.94, 95% confidence interval [CI] 0.91-2.96, CONCLUSION Dietary patterns of persons with mental disorders were characterised. A host of sociodemographic factors, and not diagnosis of mental disorders, influenced the dietary quality of people with depressive and psychotic disorders. Clinicians treating psychiatric patients need to be aware of the nuanced reasons behind poor dietary choices and provide targeted psychoeducation to specific subgroups within the patient population.

INTRODUCTIONMajor depressive disorder (MDD) is one of the most common psychiatric disorders worldwide and has been associated with various sociodemographic risk factors, including age, gender and ethnicity. The present study aimed to establish whether gender-specific differences relating to the prevalence and correlates of MDD exist in the Singapore adult resident population.

METHODSThe Singapore Mental Health Study was a population-based, cross-sectional epidemiological study among Singapore citizens and permanent residents aged 18 years and above. Face-to-face interviews were completed with 6,616 respondents between December 2009 and December 2010. Psychiatric conditions were established using version 3.0 of the World Health Organization Composite International Diagnostic Interview (CIDI). In addition, data relating to chronic medical conditions was captured using a modified version of the CIDI checklist for chronic medical conditions.

RESULTSThe lifetime prevalence of MDD was higher among women (7.2%) than men (4.3%). MDD was more prevalent among men and women who were divorced/separated and widowed women, as compared to those who were single. Among men, MDD was more prevalent among Indian and other ethnicities as compared to Chinese. Of the 417 respondents with MDD, women had significantly higher odds of having generalised anxiety disorder but lower odds of having high blood pressure, as compared to men.

CONCLUSIONThe study highlighted key gender-specific correlates of MDD. Given the comorbidities associated with MDD and other psychiatric disorders and/or physical illnesses, these correlates pose additional challenges for care providers.

INTRODUCTIONDisability increases an individual's dependence and negatively impacts their physical, mental, and social functioning. The current study aims to establish the prevalence and risk factors of disability in Singapore's population.

MATERIALS AND METHODSData was extracted from the Well-being of the Singapore Elderly (WiSE) study. This cross-sectional study recruited participants aged 60 years and above (n = 2421) who were representative of Singapore's multiethnic population. We used the World Health Organization Disability Assessment Schedule (WHODAS) 2.0 to assess the severity of disability in our sample while establishing its associations and correlations with cognitive levels, sociodemographic variables, and chronic illness.

RESULTSCognitive deficits, old age, female gender, Malay and Indian ethnicity, lack of education, retired or homemaker status, presence of chronic illness (specifically stroke, heart problems, depression, and dementia) were found to be significantly associated with disability in Singapore's elderly population. As hypothesised, participants with deficits in cognition were more likely to indicate higher WHODAS scores.

CONCLUSIONThe findings highlighted specific factors associated with disability in this multiethnic population. The identification of these factors would lead the way to the development of appropriate interventions.

Age Factors ; Aged ; Aged, 80 and over ; Chronic Disease ; Cognitive Dysfunction ; epidemiology ; Cross-Sectional Studies ; Dementia ; epidemiology ; Depression ; epidemiology ; Disabled Persons ; Educational Status ; Ethnic Groups ; statistics & numerical data ; Female ; Heart Diseases ; epidemiology ; Humans ; India ; Malassezia ; Male ; Middle Aged ; Occupations ; statistics & numerical data ; Prevalence ; Retirement ; statistics & numerical data ; Risk Factors ; Sex Factors ; Singapore ; epidemiology ; Stroke ; epidemiology

Internet gaming disorder (IGD) involves the excessive use of Internet games that can cause negative consequences like sleep problems, psychological distress, depression and anxiety. It is widely assumed that IGD is closely related with sleep problems, but studies on the topic are scant. Our study aims to explore the association between IGD and sleep problems. Methods: A total of 1085 participants, aged 13-40 years old reported playing Internet games in this self-administered, web-based survey. The instruments used for the study were socio-demographic questions, IGD Questionnaire, Life Satisfaction Scale, General Health Questionnaire-12 and Insomnia Severity Index. The cut-off point of 10 and above was used to establish the prevalence of sleep problems in this study. Logistic regression analysis was used to explore the association between socio-demographic factors, IGD and sleep problems. Results: The prevalence of sleep problems among those with IGD was 28.2%. Female online gamers (adjusted odds ratio, OR=0.7, 95% confidence interval (CI) = 0.5-0.9) were more likely to have sleep problems than males. Participants with secondary education (adjusted OR=1.9, 95% CI=1.2-3.0) and post- secondary education (adjusted OR=2.7, 95% CI= 1.2-6.0) were more likely to have sleep problems than those who had completed university. Participants with DSM-5 IGD were more likely to have sleep problems. Psychological distress (adjusted OR 4.8, 95% CI=3.6-6.7) and life satisfaction (B = -3.1, 95% CI= -4.0 to -2.2) was associated with sleep problems. Conclusion: Prevalence of sleep problems with IGD is higher among female gamers and is associated with increased psychological distress and decreased life satisfaction. Integrated health management is needed to promote good sleep hygiene among those diagnosed with IGD. ASEAN Journal of Psychiatry, Vol. 17 (1): July – December 2016: XX XX.

INTRODUCTIONStudies examining mental health treatment dropout have primarily focused on Western populations and less so on Asian samples. The current study explored the prevalence and correlates of mental health treatment dropout across the various healthcare sectors in Singapore.

MATERIALS AND METHODSData was utilised from the Singapore Mental Health Study (SMHS), a cross-sectional epidemiological survey conducted among an adult population (n = 6616) aged 18 years and above. Statistical analyses were done on a subsample of respondents (n = 55) who had sought treatment from the various treatment providers (i.e. mental health, medical, social services and religious healers) in the past 12 months. The World Mental Health (WMH) Composite International Diagnostic Interview version 3.0 (CIDI 3.0) was used to determine diagnoses of mental disorders, chronic medical disorders and service utilisation.

RESULTSOf those who had received treatment, 37.6% had ended treatment prematurely, 23.2% had completed treatment and 39.2% were still in treatment. The religious and spiritual sector (83.1%) had the highest dropout, followed by the general medical sector (34.6%), mental health services sector (33.9%) and the social services sector (30%). Marital status emerged as the only sociodemographic factor that significantly predicted treatment dropout-with those who were married being significantly less likely to drop out than those who were single.

CONCLUSIONThe overall dropout rate across the various healthcare sectors was comparable to past studies. While the small sample size limits the generalisability of findings, the current study provides useful insight into treatment dropout in an Asian population.

Adolescent ; Adult ; Age Factors ; Asian Continental Ancestry Group ; statistics & numerical data ; Cross-Sectional Studies ; Educational Status ; Employment ; statistics & numerical data ; Female ; Health Services ; utilization ; Humans ; Income ; statistics & numerical data ; Male ; Marital Status ; statistics & numerical data ; Mental Disorders ; epidemiology ; therapy ; Mental Health Services ; utilization ; Middle Aged ; Patient Dropouts ; statistics & numerical data ; Prevalence ; Sex Factors ; Singapore ; epidemiology ; Social Work ; statistics & numerical data ; Spiritual Therapies ; utilization ; Surveys and Questionnaires ; Young Adult

INTRODUCTIONThis study assessed occupational differences in the prevalence of mental and physical disorders in an employed general population sample in Singapore and investigated the impact of these disorders on work productivity losses in terms of work-loss days and work-cutback days. The association of occupation with alcohol use disorders (AUD) and nicotine dependence (ND) was also investigated.

MATERIALS AND METHODSData from a population-based mental health survey of a representative sample of multi-ethnic residents aged 18 years and above were used. The World Health Organization's (WHO) Composite International Diagnostic Interview (CIDI) was administered to establish the lifetime diagnosis of key mental disorders. Self-report on sociodemographic characteristics, productivity loss, ND, and lifetime physical conditions were obtained. Nine occupational groups were included in this analysis.

RESULTSThe sample comprised 4361 participants with a mean (SD) age of 42.2 (11.9) years, ranging between 19 to 80 years. 'Associate professionals and technicians' (26.2%), 'Services and sales workers' (17.7%) and 'Professionals' (15.4%) were the 3 predominant occupational categories. Sociodemographic characteristics differed significantly across occupations (P <0.001). The lifetime prevalences of having 'any mental disorder' and 'any physical disorder' were 13.0% and 37.9%, respectively; major depressive disorder was the most prevalent mental disorder (5.9%) and hypertension was the most common physical disorder (15.6%). There were no significant differences in work productivity loss across occupations. Sociodemographic and occupational correlates for AUD and ND were identified.

CONCLUSIONSociodemographic and health disparities exist in the major occupational categories in Singapore. The strength of the associations between occupation and AUD and ND are significant, indicating the need for preventative measures in select occupations.

Adolescent ; Adult ; Aged ; Alcohol-Related Disorders ; epidemiology ; Chronic Disease ; epidemiology ; Depressive Disorder, Major ; epidemiology ; Female ; Health Surveys ; Humans ; Male ; Middle Aged ; Occupations ; Prevalence ; Singapore ; epidemiology ; Tobacco Use Disorder ; epidemiology ; Young Adult