Association between sleep quality and quality of life in Singapore.

PURPOSE: Several studies have examined the relationship between sleep quality and health-related quality of life (HRQOL). However, there are a lack of generalizable data on this association in Singapore. Our study aimed to (1) investigate the association between sleep quality and HRQOL and (2) examine whether age moderated these associations. METHODS: Data were obtained from nationwide Singapore Mental Health Study 2016 (n = 6126, response rate = 69.5%). Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI) where higher scores indicate poorer sleep quality. HRQOL [Physical component summary (PCS) and Mental component summary (MCS)] were measured using 12-item Short-Form Survey. Associations were investigated using multivariable linear regression models, adjusted for sociodemographic, physical, and mental comorbidities. Interactions between age and sleep quality were examined by including interaction terms individually. RESULTS: Poorer PSQI score was significantly associated with lower PCS (ß = - 0.44) and lower MCS (ß = - 0.73). Among PSQI components, lower PCS was significantly associated with subjective sleep quality (ß = - 1.06), sleep duration (ß = - 0.30), sleep disturbance (ß = - 0.33), and daytime dysfunction (ß = - 0.75). Lower MCS was significantly associated with subjective sleep quality (ß = - 1.36), sleep latency (ß = - 0.24), sleep disturbance (ß = - 0.16), using of sleeping medication (ß = - 1.12), and daytime dysfunction (ß = - 2.08). Age moderated the association between PSQI score with PCS and MCS. Stronger association between PSQI score and MCS was observed in younger individuals (ß = - 0.90) than older adults (ß = - 0.45). CONCLUSION: Our study found that poor sleep quality was associated with HRQOL of certain age groups more than others. Future studies may identify potential mediators to help people with chronic sleep problems.

Food insufficiency, adverse childhood experiences and mental health: results of the Singapore Mental Health Study 2016.

OBJECTIVE: This study aimed to investigate the prevalence and correlates of food insufficiency and its association with mental disorders and adverse childhood experiences (ACE) in Singapore. DESIGN: This analysis utilised data from the Singapore Mental Health Study (SMHS 2016). SETTING: SMHS 2016 was a population-based, psychiatric epidemiological study conducted among Singapore residents. PARTICIPANTS: Interviews were conducted with 6126 respondents. Respondents were included if they were aged 18 years and above, Singapore citizens or permanent residents and able to speak in English, Chinese or Malay. RESULTS: The prevalence of food insufficiency was 2·0 % (95 % CI (1·6, 2·5)) among adult Singapore residents. Relative to respondents who did not endorse any ACE, those with ACE (OR: 2·9, 95 % CI (1·2, 6·6)) had higher odds of food insufficiency. In addition, there were significant associations between lifetime mental disorders and food insufficiency. Bipolar disorder (OR: 2·7, 95 % CI (1·2, 6·0)), generalised anxiety disorder (OR: 4·5, 95 % CI (1·5, 13·5)) and suicidal behaviour (OR: 2·37, 95 % CI (1·04, 5·41)) were shown to be significantly associated with higher odds of food insufficiency. CONCLUSIONS: The prevalence of food insufficiency is low in Singapore. However, this study identifies a vulnerable group of food-insufficient adults that is significantly associated with mental disorders, including suicidality. Government-funded food assistance programmes and multi-agency efforts to deal with the social determinants of food insufficiency, such as income sufficiency and early detection and intervention of mental distress, are key to ensuring a sustainable and equitable food system.

Measuring social desirability bias in a multi-ethnic cohort sample: its relationship with self-reported physical activity, dietary habits, and factor structure.

BACKGROUND: Social desirability bias is one of the oldest forms of response bias studied in social sciences. While individuals may feel the need to fake good or bad answers in response to sensitive or intrusive questions, it remains unclear how rampant such a bias is in epidemiological research pertaining to self-reported lifestyle indicators in a multicultural Asian context. The main purpose of the current study is, therefore, to examine the sociodemographic correlates and impact of social desirability responding on self-reported physical activity and dietary habits at an epidemiological scale in a non-western multi-cultural Asian setting. METHODS: Prior to the main analyses, confirmatory and exploratory factor analyses were conducted to determine the factorial validity of a western derived concept of social desirability. Multiple regression analyses were conducted on cross-sectional data (n = 2995) extracted from a nationwide survey conducted between 2019 and 2020. RESULTS: A unique factor structure of social desirability was found and was therefore used for subsequent analyses. Multiple regression analyses revealed older age groups, the Indian ethnic group, those with past or present marriages, and having no income, had a significantly greater tendency to act on the bias. CONCLUSION: The construct of social desirability bias was fundamentally different in a multicultural context than previously understood. Only a small proportion of variance of self-report lifestyle scores was explained by social desirability, thus providing support for data integrity.

The economic burden of mental disorders among adults in Singapore: evidence from the 2016 Singapore Mental Health Study.

BACKGROUND: Little is known about the economic burden of mental disorders in multiethnic Asian populations. AIMS: The study aimed to estimate the economic cost of mental disorders in Singapore using data from the second Singapore Mental Health Study (SMHS 2016). METHOD: The SMHS 2016 is a nationally representative survey of the Singapore Resident population aged 18 years and above. Data on mental disorders and healthcare resource utilization were obtained from the World Mental Health Composite International Diagnostic Interview and the adapted version of the Client Service Receipt Inventory. RESULTS: The costs of visits to a restructured hospital doctor, other private health workers, accident and emergency, and intermediate and long-term care services and productivity losses tend to be much higher in those with mental disorders than those without mental disorders. The average annual excess cost associated with mental disorders per person was estimated to be S$3938.9 (95% CI, S$-100.8-S$7978.7). Extrapolation of these excess costs to the population suggests that the incremental costs of mental disorders in Singapore is about S$1.7 billion per year. CONCLUSION: This study provides evidence of the substantial burden of mental disorders on Singaporean society - both in terms of direct medical costs and loss of productivity costs.

The factor structure of the Barratt Impulsiveness Scale (BIS-11) and correlates of impulsivity among outpatients with schizophrenia and other psychotic disorders in Singapore.

BACKGROUND: Impulsivity has been linked to risky behaviours amongst patients with schizophrenia or other psychotic disorders. However, there is a dearth of studies examining impulsivity amongst this population in Singapore. Moreover, to date, scales to measure impulsivity have not been validated in this population. The present study seeks to examine the underlying factor structure of the Barratt Impulsiveness Scale (BIS-11) and explore sociodemographic and clinical correlates of impulsivity within this group. METHODS: Confirmatory factor analyses (CFA) were conducted to test factor structures of the BIS-11 proposed in extant literature. However, due to poor fit statistics, the sample (n = 397) was split into two groups, with Exploratory Factor Analyses (EFA) conducted in the first subgroup (n = 200). The final model of the EFA was then tested within the second subgroup (n = 197) with CFA. Multivariable linear regressions were conducted to examine sociodemographic and clinical correlates of each underlying factor. RESULTS: CFA indicated a three-factor structure amongst 16-items of the BIS-11 with acceptable fit: i) Non-planning impulsivity (5-items; α = 0.94), ii) Motor impulsiveness (6-items α = 0.84), and iii) Lack of self-control (5-items, α = 0.85). Lower education was associated with higher non-planning impulsivity. While age, ethnicity, marital status, and general psychiatric symptom severity were significant correlates of motor impulsiveness, problematic alcohol use and general psychiatric symptom severity were related to a greater lack of self-control. CONCLUSION: Factor structures of the BIS-11 suggested by extant literature were not applicable, and we propose an alternative factor structure for BIS-11. Significant correlates of impulsivity are highlighted, and avenues for future research are suggested.

Occupational groups and its physical and mental health correlates: results from the Singapore Mental Health Study 2016.

PURPOSE: The physical and mental wellbeing of an individual is impacted by the type occupation one does. This study aims to establish the prevalence of mental and physical disorders, the association of occupational groups and health-related quality of life, and the extent of work-loss and work-cut back in past 30 days among the employed in the Singapore resident population. METHODS: Data from a population-based, epidemiological survey of a representative sample of Singapore citizens and permanent residents aged 18 years and above were used. Lifetime diagnosis of select mental disorders was established using the World Health Organization's Composite International Diagnostic Interview version 3.0 (WHO-CIDI 3.0). Data on nicotine dependence, work productivity, quality of life and socio-demographics were obtained via self-report. Ten major occupational groups based on the Singapore Standard Occupational Classification were included in the analysis. RESULTS: The sample comprised 4021 employed individuals who were predominantly males (54.7%) and aged 35-49 years (35.4%). 'Service and sales workers' (22.6%), 'Professionals' (17.3%) and 'Legislators, senior officials and managers' (16.4%) were the three largest occupational groups. Socio-demographic characteristics differed significantly (p < 0.001) across all occupational groups. Lifetime prevalence of mood disorders among the employed was 8.4% and the most prevalent physical disorder was chronic pain (18.9%). No significant differences were observed in work productivity loss across the occupational groups. CONCLUSIONS: The disparities in the socio-demographic characteristics and prevalence of mental and physical disorders across occupational categories provide policymakers with vital information to pilot effective interventions that can improve the psychosocial and physical conditions at work.

Positive mental health framework of transdiagnostic protective factors in elucidating the association between adverse childhood experiences and severe mental disorders.

OBJECTIVES: Transdiagnostic risk factors-disrupted processes common to psychopathology-link adverse childhood experiences to severe mental disorders (i.e. major depressive disorder, bipolar disorder, and schizophrenia spectrum disorders); however, transdiagnostic protective factors are understudied. The present study investigated the association between a positive mental health framework of protective intra- and interpersonal resources and severe mental disorders in individuals with adverse childhood experiences. We hypothesized that (1) individuals with adverse childhood experiences will experience more severe mental disorders and poorer intra- and interpersonal resources than those without adverse childhood experiences; (2) intrapersonal (e.g. general coping) and interpersonal resources (e.g. emotional support) will interact to predict severe mental disorders. METHODS: A total of 1929 adults participated in this population-based study. Participants were assessed for adverse childhood experiences, severe mental disorders, and intra- and interpersonal resources (general coping, general affect, emotional support, interpersonal skills, spirituality, and personal growth and autonomy) via structured interviews and self-reports. RESULTS: As hypothesized, individuals with adverse childhood experiences (62.6%) experienced more severe mental disorders and poorer intra- and interpersonal resources than those without adverse childhood experiences. Among those with adverse childhood experiences, emotional support interacted with general coping and general affect to predict severe mental disorders; general coping and general affect were negatively associated with severe mental disorders at high (+1 SD) and low (-1 SD) emotional support, respectively. CONCLUSIONS: The present study identified interactions between specific intrapersonal (i.e. general coping and general affect) and interpersonal resources (i.e. emotional support); knowing among whom and when to intervene are essential for optimal treatment of adverse childhood experiences and severe mental disorders.

Confirmatory factor analysis and measurement invariance of the English, Mandarin, and Malay versions of the SF-12v2 within a representative sample of the multi-ethnic Singapore population.

BACKGROUND: The Short Form Health Survey (SF-12v2) is an increasingly popular measure of health-related quality of life (HRQoL) in Singapore. In order to examine whether the SF-12v2 was appropriate for use in the population, the factor structure and validity of the English, Mandarin, and Malay versions were assessed in a representative sample of the general population of Singapore. METHODS: 6126 respondents were recruited for the Singapore Mental Health Study 2016 (SMHS 2016), a cross-sectional and population-based survey. Confirmatory factor analyses (CFA) were conducted to examine the fit of a two-factor model for the SF-12v2 within a representative sample and amongst the different language (English, Mandarin, Malay) subgroups. Multiple-group CFAs (MGCFA) were conducted to test measurement invariance across the different languages, ethnicities, and chronic illnesses subgroups. CFA-generated latent factor scores (FSCORE command in MPlus) were also compared with the composite scores derived from the developer's scoring method via correlations. Sociodemographic correlates of the latent physical and mental health scores were explored. RESULTS: CFA results within the full sample supported a two-factor model (RMSEA = 0.044; CFI = 0.991; TLI = 0.988; SRMR = 0.044) in which physical functioning, role physical, bodily pain and general health items loaded onto a latent physical health factor, while role emotional, mental health, social functioning, and vitality items loaded onto a latent mental health factor. Physical and mental health factors were allowed to correlate, unlike the developer's orthogonal scoring method. All standardized loadings were high and statistically significant. Both factors had high internal consistency. CFA within subsamples of English, Mandarin, and Malay languages indicated similar findings. MGCFA results indicate that measurement invariance held across the different languages, ethnicities, and those with and without chronic illnesses. CONCLUSION: The present study identified a two-factor (physical and mental health) structure within the general population and amongst the three different languages and demonstrated the measurement invariance of SF-12v2 across different subgroups. Findings indicate that algorithm-derived PCS and MCS should be interpreted with caution as they may result in inaccurate conclusions regarding the relationships between HRQoL and its correlates. Future studies using the SF-12v2 within the general population of Singapore should consider utilizing the factor structure put forth in the present study to obtain more appropriate estimates of HRQoL.

Gender difference in quality of life (QoL) among outpatients with schizophrenia in a tertiary care setting.

BACKGROUND: Patients with mental illness report lower quality of life (QoL) compared to the general population. Prior research has found several differences in clinical features and experiences of male and female patients with schizophrenia. Given these differences, it is also important to explore if there are any gender differences in terms of their QoL. This study aimed to investigate differences in QoL between and within each gender among outpatients with schizophrenia in Singapore. METHODS: A total of 140 outpatients were recruited through convenience sampling at the Institute of Mental Health, Singapore. QoL was measured using the brief version of World Health Organization Quality of Life (WHOQOL-BREF) which consists of four domains: physical health, psychological health, social relationships, and environment. QoL scores of males and females were compared using independent t-tests, and multiple linear regressions were used to examine sociodemographic correlates of QoL in the overall sample and within each gender. RESULTS: There was no significant difference in QoL domain scores between genders. Among males, Indian ethnicity (versus Chinese ethnicity) was positively associated with physical health (ß=3.03, p=0.018) while males having Technical Education/ Diploma/ A level education (versus Degree and above) were positively associated with social relationships domain (ß=2.46, p=0.047). Among females, Malay ethnicity (versus Chinese ethnicity) was positively associated with physical health (ß=1.95, p=0.026) psychological health (ß=3.21, p=0.001) social relationships (ß=2.17, p=0.048) and environment (ß=2.69, p=0.006) domains, while females who were separated/divorced (versus single) were inversely associated with psychological health (ß=- 2.80, p=0.044) and social relationships domains (ß=- 4.33, p=0.011). Females who had Secondary and below education (versus Degree and above) were inversely associated with social relationships (ß=- 2.29, p=0.028) and environment domains (ß=- 1.79, p=0.048). CONCLUSIONS: The findings show the importance of treatments targeting QoL to attend to both the clinical features of the illness as well patient's sociodemographic characteristics.

Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey.

PURPOSE: This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. METHODS: The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. RESULTS: Respondents' mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15-29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11-26). Those aged 35 years and over (versus 18-34) were less likely to have earlier AOO [35-49 years (OR: 0.287; 95% CI: 0.154-0.534); 50-64 years (OR:0.156; 95% CI: 0.068-0.361) and 65 and over (OR:0.112; 95% CI:0.027-0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384-3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493-4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (ß = - 0.06,95% CI: - 0.08 to - 0.03) and higher number of days cut down on the type of work (ß = 1.61,95% CI: 0.12-3.10) in those with any mental disorders. CONCLUSION: This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population.

Readiness and Acceptance of eHealth Services for Diabetes Care in the General Population: Cross-sectional Study.

BACKGROUND: Diabetes management is a growing health care challenge worldwide. eHealth can revolutionize diabetes care, the success of which depends on end user acceptance. OBJECTIVE: This study aims to understand the readiness and acceptance of eHealth services for diabetes care among the general population, perceived advantages and disadvantages of eHealth, and factors associated with eHealth readiness and acceptance in a multiethnic Asian country. METHODS: In this cross-sectional epidemiological study, participants (N=2895) were selected through disproportionate stratified random sampling from a population registry. Citizens or permanent residents of Singapore aged >18 years were recruited. The data were captured through computer-assisted personal interviews. An eHealth questionnaire was administered in one of four local languages (English, Chinese, Malay, or Tamil), as preferred by the participant. Bivariate chi-square analyses were performed to compare the sociodemographic characteristics and perception of advantages and disadvantages of eHealth services between the diabetes and nondiabetes groups. Multivariable logistic regression models were used to determine factors associated with eHealth readiness and acceptance. All analyses were weighted using survey weights to account for the complex survey design. RESULTS: The sample comprised participants with (n=436) and without (n=2459) diabetes. eHealth readiness was low, with 47.3% of the overall sample and 75.7% of the diabetes group endorsing that they were not ready for eHealth (P<.001). The most acceptable eHealth service overall was booking appointments (67.4%). There was a significantly higher preference in the diabetes group for face-to-face sessions for consultation with the clinician (nondiabetes: 83.5% vs diabetes: 92.6%; P<.001), receiving prescriptions (61.9% vs 79.3%; P<.001), referrals to other doctors (51.4% vs 72.2%; P<.001), and receiving health information (34% vs 63.4%; P<.001). The majority of both groups felt that eHealth requires users to be computer literate (90.5% vs 94.3%), does not build clinician-patient rapport compared with face-to-face sessions (77.5% vs 81%), and might not be credible (56.8% vs 64.2%; P=.03). Age (≥35 years), ethnicity (Indian), and lower education status had lower odds of eHealth readiness. Age (≥35 years), ethnicity (Indian), lower education status (primary school), BMI (being underweight), and marital status (being single) were associated with a lower likelihood of eHealth acceptance. Among only those with diabetes, a longer duration of diabetes (4-18 years), higher education (degree or above), and younger age (23-49 years) were associated with eHealth readiness, whereas younger age and income (SGD 2000-3999 [US $1481-$2961]) were associated with acceptance. CONCLUSIONS: Overall, an unfavorable attitude toward eHealth was observed, with a significantly higher number of participants with diabetes reporting their unwillingness to use these services for their diabetes care. Sociodemographic factors associated with acceptance and readiness identified a group of people who were unlikely to accept the technology and thus need to be targeted for eHealth literacy programs to avoid health care disparity. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2020-037125.

Help-Seeking Patterns Among the General Population in Singapore: Results from the Singapore Mental Health Study 2016.

This study aimed to establish lifetime mental health service utilisation among the general population of Singapore. The sociodemographic correlates of those seeking help from different service provider groups and changes in lifetime mental health service utilisation between 2010 and 2016 among those with mental disorders were also explored. A population-based cross-sectional epidemiological household survey of the Singapore resident population aged 18 years and above was conducted from 2016 to 2018, using the World Mental Health Composite International Diagnostic Interview (CIDI) version 3.0. Data from two cross-sectional population-based studies were used for comparison of lifetime mental health service utilisation in 2010 (n = 6616) and 2016 (n = 6126). Chi square test and multiple logistic regression were used to analyse the data. A total of 6126 respondents completed the study in 2016. Overall 9.3% of the total sample, 32.0% of those with mental disorders, and 5.7% of those not meeting criteria for mental disorders, ever sought help for their mental health issues in their lifetime, from any treatment service sectors. Several sociodemographic characteristics were found to be correlated with different service provider groups. There was no change in mental health service utilisation between 2010 and 2016 for all mental disorders included in this study, with the exception of a significant increase in help sought from professionals in social services, among those with alcohol abuse. Even though the overall help-seeking rates are low, it is encouraging that those seeking help did so from mental health professionals and professionals working in the social services.

Prevalence, Lifestyle Correlates, and Psychosocial Functioning Among Multi-Ethnic Older Adults with Mild Cognitive Impairment in Singapore: Preliminary Findings from a 10/66 Population Study.

Asia, which has the highest increase in dementia prevalence, is unfortunately lacking recent up-to-date research, with regions of Southeast Asia being the most inadequate. Preventive approaches, such as the understanding of Mild Cognitive Impairment (MCI), are currently the most effective approach in reducing the risk or delaying the onset of dementia but are not adequately understood. Additionally, there is a paucity of research examining lifestyle and sociodemographic correlates of MCI that are relevant to the local population of Singapore. To address these gaps, this study aimed to explore: 1) the prevalence of MCI and Amnestic Mild Cognitive Impairment (aMCI), 2) the psychosocial and lifestyle correlates of MCI and aMCI. Data were drawn from the Well-being of the Singapore Elderly (WiSE) population study, which is a single-phase cross-sectional household survey conducted among older adult residents aged 60 years and above. Analyses revealed that the weighted MCI prevalence (1.2%) was lower than global figures. Few sociodemographic and lifestyle habits were related to MCI prevalence, as only age and physical activeness emerged as significant correlates. Despite the low prevalence of MCI, individuals with MCI experienced marked disability, clinical levels of depression and anxiety, which are all concerning finds. Due to the exploratory and cross-sectional nature of the study, future longitudinal research could further refine our understanding of MCI and confirm the present findings.

Asthma Prevalence and its Risk Factors Among a Multi-Ethnic Adult Population.

Asthma is a substantial global health problem characterized by chronic airway inflammation, leading to intermittent symptoms. This study aims to establish the prevalence and risk factors of asthma in a multi-ethnic adult population. Data for the study were extracted from the Singapore Mental Health Study 2016, a population-based, cross-sectional, epidemiological study of Singapore residents aged 18 years and above. The data relating to asthma prevalence was captured using the modified World Mental Health Composite International Diagnostic Interview (CIDI) version 3.0 chronic conditions checklist. The prevalence of lifetime asthma in this population was 11.9% (95% CI, 10.83-13.12). Those of Malay and Indian ethnicity (versus Chinese), ex-smokers (versus never smoked) and those who were overweight and obese (versus normal weight) were more likely to be associated with asthma. Participants belonging to the age group of 35 years and above (versus 18-34 years of age), male gender (versus female) were less likely to be associated with lifetime asthma. Asthma was also more likely to be associated with bipolar disorder. Those with current asthma (ie, those who had received treatment during the past 12 months) were significantly associated with lower health-related quality of life in the physical component score (PCS) than those without asthma. The high prevalence and association with lowered health-related quality of life makes asthma a significant public health concern. Our study's findings can help create awareness and encourage integrated approaches for managing asthma in the health sector.

Understanding the relationships between mental disorders, self-reported health outcomes and positive mental health: findings from a national survey.

BACKGROUND: The link between mental illness and mental health is gaining focus in research and practice. This study aimed to investigate the association of mental disorders with positive mental health (PMH), overall health and quality of life. In addition, the role of PMH in mediating the relationships between mental disorders and health outcomes was assessed. METHODS: The study sample comprised 2270 residents aged 18 years and above who participated in a nationally representative, cross-sectional survey estimating the lifetime prevalence of mood, anxiety and alcohol use disorders, and health outcomes (self-reported overall health, quality of life and PMH) in Singapore. The Positive Mental Health Instrument was used to estimate the level of Total PMH among the respondents with and without mental disorders. Associations between mental disorders and health outcomes were assessed through regression models. Path analyses were conducted to investigate mediating role of PMH. RESULTS: Total PMH (Mean ± SD) was significantly lower among individuals having any of the studied lifetime mental disorders (4.23 ± 0.64 versus 4.50 ± 0.67 among those without these disorders). Although having a mood or anxiety disorder was associated with significantly lower Total PMH even after controlling for socio-demographic characteristics, similar relationship was not observed for alcohol use disorders. History of any mental disorders was also associated with lower overall health and quality of life. Total PMH mediated the relationships between mental disorders and overall health and quality of life by reducing the effect sizes for the associations between mental disorders and these health outcomes. CONCLUSIONS: Mental disorders were associated with poor health outcomes in affected individuals. This study showed that PMH can mediate the relationships between mental disorders and health outcomes, and act as an underlying mechanism to improve overall health and quality of life in individuals with mental disorders. Findings thus highlight the significance of incorporating mental health promotion and interventions in clinical populations.

Prevalence and comorbidity of migraine headache: results from the Singapore Mental Health Study 2016.

BACKGROUND AND AIM: Migraine is a highly prevalent and disabling neurological disorder associated with a wide range of psychiatric comorbidities. Studies have revealed that those with migraine headache and coexisting psychiatric disorders have poorer treatment outcomes and increased disability. The study aims to establish the prevalence, correlates, and comorbidities of migraine headache among the multi-ethnic Asian population in Singapore. METHOD: Data were extracted from the Singapore Mental Health Study 2016 (SMHS 2016), a cross-sectional epidemiological survey of a nationally representative sample. Face-to-face interviews were completed with 6126 participants between 2016 and 2017. The data relating to chronic medical conditions, psychiatric conditions, and 30-day functioning and disability were captured using the World Mental Health Composite International Diagnostic Interview (CIDI) version 3.0. RESULTS: The lifetime prevalence for migraine headache in the Singapore general population was 8.2%. Malay ethnicity (versus Chinese), female gender (versus male), and diploma holders (versus university) were significantly more likely to experience migraine headache. Participants belonging to the older age group (65 years and above versus 18-34 years of age), and those who were economically inactive (versus employed) were less likely to experience migraine headache. The mean age of onset for migraine was 26.4 years (SD = 11.1). Poisson regression analyses showed that migraine headache was also significantly associated with psychiatric conditions such as major depressive disorder (MDD) (prevalence ratio (PR), 1.80; 95% CI, 1.25-2.58), bipolar disorder (BD) (PR, 3.55; 95% CI, 2.29-5.51), generalized anxiety disorder (GAD) (PR, 2.04; 95% CI, 1.12-3.69), obsessive compulsive disorder (OCD) (PR, 2.20; 95% CI, 1.49-3.26), and alcohol use disorder (AUD) (PR, 1.93; 95% CI, 1.20-3.08). Those with migraine headache were significantly associated with poor functioning and disability compared to those without migraine headache. CONCLUSIONS AND DISCUSSION: Our study showed significant associations between migraine headache and psychiatric disorders, as well as with role functioning and disability. The findings of our study emphasise the need for screening for psychiatric comorbidity among those with migraine and the development of appropriate interventions for this group.

Minding the treatment gap: results of the Singapore Mental Health Study.

PURPOSE: To establish the 12-month treatment gap and its associated factors among adults with mental disorders in the Singapore resident population using data from the second Singapore Mental Health Study and to examine the changes since the last mental health survey conducted in 2010. METHODS: 6126 respondents were administered selected modules of the Composite International Diagnostic Interview, to assess major depressive disorder (MDD), dysthymia, bipolar disorder, generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence). Past year treatment gap was defined as the absolute difference between the prevalence of a particular mental disorder in the past 12 months preceding the interview and those who had received treatment for that disorder. RESULTS: The prevalence of overall 12-month treatment gap in this population was high (78.6%). A multiple logistic regression analysis revealed significantly higher odds of treatment gap among those diagnosed with OCD (compared to those with MDD) and in those with a comorbid chronic physical disorder; while those who had primary education and below and those who were unemployed were less likely to have a treatment gap as compared to those with post-secondary education and those employed, respectively. CONCLUSIONS: The high treatment gap in the population is concerning and highlights the need to promote help-seeking and uptake of treatment. Given the unique demographic characteristics, i.e., those with higher education and employed were more likely not to seek treatment, targeted interventions in the educational and workplace settings should be implemented.

Cognitive insight and quality of life among psychiatric outpatients.

BACKGROUND: Past studies have focused primarily on clinical insight and less on cognitive insight among individuals with mental illness. METHODS: This study examined the level of cognitive insight (CI) and its association with quality of life (QoL) among psychiatric outpatients (N = 400) in Singapore. The Beck Cognitive Insight Scale (BCIS) consisting of two subscales (self-reflectiveness (SR) and self-certainty (SC)) was used to measure CI while the brief version of the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire was used to assess the subjective well-being of the individual. RESULTS: Socio-demographic correlates of CI, differences in SR, SC, and CI scores across diagnostic groups, and the association between insight and QoL were examined. Significant differences across diagnostic groups were found only for SR scores. Higher SR and overall CI scores were significantly associated with higher QoL in the environmental domain whereas higher SC scores were associated with lower QoL in the social relationships domain. CONCLUSIONS: An understanding of cognitive insight is necessary to produce a significant change in the underlying belief system of an individual. Together with clinical insight, these two forms of insight can be used to inform therapeutic approaches to increase awareness and improve the QoL of those with mental illnesses.

Exploring Singapore's consumption of local fish, vegetables and fruits, meat and problematic alcohol use as risk factors of depression and subsyndromal depression in older adults.

BACKGROUND: Depression is a chronic mental disorder that severely impacts the older adult population globally. Nutritional psychiatry is an approach that has gained traction over the years. Exploring locally relevant consumption of common types of fish, vegetables and fruits (V&F), meat and problematic alcohol use (PAU) as risk factors associated with depression and subsyndromal depression (SSD) could reveal modifiable factors that could be targeted in the local older adult population in Singapore. METHODS: Data collected from the Well-being of the Singapore Elderly (WiSE) study, a cross-sectional population-based epidemiological study of Singapore's older adult population was analysed for the purposes of this study. Two thousand five hundred sixty-five participants were recruited and comprised of Singapore citizens and permanent residents aged ≥60 years. Data on fish, meat, and V&F consumption were collected using the sociodemographic and risk factor questionnaire. The CAGE (Cut, Annoyed, Guilt, and Eye-opener) questionnaire was used to determine PAU. The Geriatric Mental State-Automated Geriatric Examination for Computer Assisted Taxonomy (GMS-AGECAT) was used to obtain participants' diagnosis of depression or SSD. A multinomial logistic regression was used to explore the relationship between depression and dietary factors. RESULTS: Consumption of V&F in the last 3 days was less likely to be associated with depression and SSD. Frequent consumption of specific species of fish was associated with depression and SSD. PAU and the frequent consumption of Himantura gerrardi (stingray) were more likely to be associated with SSD. Finally, meat consumption was more likely to be associated with depression and SSD. CONCLUSIONS: The preliminary findings of the study support a need for healthy eating for the older adult population in Singapore. Further directions include a more thorough health and nutrition survey to capture accurate diets among the older adults in Singapore.

Psychological status and quality of life among primary caregivers of individuals with mental illness: a hospital based study.

BACKGROUND: This study aimed to explore the psychological status and quality of life among primary caregivers of individuals suffering from various mental illnesses including early psychosis, chronic schizophrenia, depressive disorders, anxiety disorders and dementia. METHODS: A total of 350 primary caregivers with relatives seeking treatment at a tertiary psychiatric hospital were recruited for this study. Socio-demographic data was obtained and the brief version of the World Health Organisation Quality of Life instrument was used to assess caregiver's quality of life (QOL). Psychological status among primary caregivers was assessed using the General Anxiety Disorder - 7 item (GAD-7) and Patient Health Questionnaire - 9 item (PHQ-9) scales. Family Interview Schedule (FIS) was used to assess the impact of caregiving relating to social problems, interpersonal strain among family members, work related problems and financial difficulties as a result of their relative's illness. The socio-demographic and clinical correlates of QOL, PHQ-9 and GAD-7 were examined using multiple linear and logistic regression analyses. Associations between QOL domains and psychological status was examined using multiple linear regression analyses. RESULTS: The mean age of the primary caregivers was 49.7 years (SD = 13.2), ranging from 21 to 82 years, with a preponderance of females (67.6%), aged 50-64 years old (45.7%). Majority were of Chinese ethnicity (57.5%), had secondary level education (43.1%), were married (65.2%), and employed (64.9%). 18.3% of primary caregivers had symptoms of depression (based on PHQ-9 cut-off point of 10 or greater) while 12.7% had symptoms of anxiety (based on GAD-7 cut-off point of 10 or greater). Multiple linear and logistic regression analyses revealed that primary caregivers aged between 35-49 years and 50-64 years, unemployed, living with others, providing care to those diagnosed with dementia and who had higher FIS scores were significantly more likely to report symptoms of depression whilst those who cared for their son/daughter were less likely to be associated with symptoms of depression. Primary caregivers who had lower education, were living with others, were single or divorced/separated, were unemployed and with higher FIS scores were associated with lower QOL domain scores. Those with symptoms of depression were significantly associated with low QOL across all four domains, whilst those with symptoms of anxiety were significantly associated with low QOL in the social relationships domain. CONCLUSION: Psychological status of caregivers in the current study was associated with the various domains of QOL. In particular, caregivers' symptoms of depression were significantly associated with lower QOL across all four domains of QOL whereas symptoms of anxiety were associated with lower scores in the social relationships domain. The study suggests a need to provide caregivers with social support and psycho-education to improve the QOL as well as aid in developing healthy coping strategies.