Prevalence and impact of peer victimisation among youth seeking treatment at a tertiary psychiatric institution in Singapore: a cross-sectional study.

BACKGROUND: Peer victimization is common among adolescents and leads to negative consequences. However, few studies have examined the extent of peer-victimization and its correlates among adolescent patients in a psychiatric setting. The current study aimed to examine the prevalence and correlates of peer victimisation among youth with mental illness and to examine its association with depressive symptoms and health-related quality of life (HRQOL). METHODS: A sample of 239 youths aged 15-24 years were recruited from the outpatient clinics of a tertiary psychiatric hospital in Singapore using convenience sampling. All participants were administered the Multidimensional Peer Victimisation Scale (MPVS), Short Form 12 (SF-12) questionnaire and the Patient Health Questionnaire-8 (PHQ-8). The effect of MPVS  total and subscores on depression scores, quality of life subscores and quality of life total scores were examined using multiple linear regression analyses. RESULTS: The majority of the patients reported that they had experienced at least one form of peer victimisation (95.8%, n = 229) during their school years. Higher levels of 'verbal victimisation', 'attacks on property' and higher total MPVS scores were significantly associated with lower social functioning; additionally, higher levels of 'verbal victimisation' were significantly associated with lower mental component summary scores in the quality of life assessment. Higher scores on all four subscales as well as higher total scores on the MPVS were significantly associated with more severe depressive symptoms. CONCLUSIONS: Given the high prevalence of peer victimisation in our sample and its associations with more severe depressive symptoms and lower quality of life, it is vital to implement interventions that prevent peer victimisation in educational and other social settings and to provide youth with strategies to more effectively manage instances of peer victimisation.

Chronic Pain: Among Tertiary Care Psychiatric Out-Patients in Singapore-Prevalence and Associations with Psychiatric Disorders.

Objective: The study aimed to determine the prevalence and severity of chronic pain and its associations amongst psychiatric out-patients in a tertiary care hospital in Singapore. Methodology. The cross-sectional study was conducted among 290 psychiatric out-patients aged 21-65 years. Sociodemographic and clinical information, as well as data from Brief Pain Inventory-Short Form (BPI-sf), Beck's Depression Inventory II (BDI-II), and Beck's Anxiety Inventory (BAI) were collected. Cut points (C.P.s) dividing the sample into mild, moderate, and severe groups were created for the ratings of average pain. Eight possible cut-off values for the C.P.s between 3 and 7, representing 8 different categorical variables, were created and their relationships were examined with BPI's set of seven interference items using multivariate analysis of variance. Sociodemographic and clinical correlates of chronic pain were determined using multinomial logistic regression analysis. Analysis of covariance was used to determine the association of BPI with continuous scores of BAI and BDI. Results: Based on the C.P. pain severity classification, 38.5% of the sample had mild pain, 22.9% had moderate pain, and 11.8% had severe pain. Patients with severe pain were more likely to be associated with older age (p ≤ 0.006) (versus young age), less likely to be married (p ≤ 0.025) (versus single), and more likely to have high risk for obesity (p ≤ 0.030) (versus low risk for obesity). Participants with mild pain were seen to be significantly associated with older age (p ≤ 0.021), whereas moderate pain (p ≤ 0.002) and severe pain (p ≤ 0.001) (versus no pain) were seen to be significantly associated with higher BAI scores. Conclusion: The current study observed high prevalence of pain among patients with psychiatric illness that was determined by optimal C.P.s for mild, moderate, and severe pain. Patients diagnosed with anxiety disorders and those with higher BMI were seen to be associated with pain of moderate to severe intensity. Improving the knowledge of correlates and co-morbidities of physical pain would aid in early identification, use of prophylactic strategies, and the intervention techniques to formulate basic guidelines for pain management among psychiatric population.

A prospective observational study exploring the association of comorbid chronic health conditions with total healthcare expenditure in people with mental health conditions in an Asian setting.

BACKGROUND: It is pertinent to focus on chronic medical condition (CMC) comorbidity with mental health conditions (MHC) as their co-occurrence has significant cost and health implications. However, current evidence on co-occurrence of MHC with CMC is mixed and mostly from Western settings. Therefore, our study aimed to (i) describe the association between MHC and total healthcare expenditure, (ii) examine the association between CMC and total healthcare expenditure and (iii) examine determinants of total and different types of healthcare expenditure in respondents with and without MHC in an Asian setting. METHODS: The data from Singapore Mental Health Study (SMHS) 2016, a nationwide epidemiological survey, were linked with the National claims record (from 2017 to 2019). Multivariable Generalized Linear Models (GLM) were used to examine the association between MHC and total and different types of healthcare expenditure. RESULTS: A total of 3077 survey respondents were included in current analysis. Respondents with MHC had a lower mean age of 38.6 years as compared to those without MHC (47.1 years). MHC was associated with increased total healthcare expenditure after adjusting for covariates (b = 0.508, p < 0.05). In respondents with MHC, presence of CMC increased the total healthcare expenditure by 35% as compared to 40% increase in those without MHC. Interestingly, 35-49 years age group with MHC had almost 3 times higher total healthcare expenditure and 7.5 times higher inpatient expenditure as compared to the 18-34 years age group. CONCLUSION: Our study highlights variations in association of CMC and age with total healthcare expenditure in those with versus without MHC in an Asian setting. Practical recommendations include appropriate planning and resource allocation for early diagnosis and management of MHC, proactive screening for CMC in those with MHC and addressing the dual issues of treatment gap and stigma to facilitate early help seeking and prevent episodic, costly healthcare utilization.

Sleep quality of Singapore residents: findings from the 2016 Singapore mental health study.

Given the importance of sleep for physical and mental wellbeing, it is crucial to understand the extent of insomnia among community dwellers. However, there is a paucity of population wide epidemiological studies to estimate the prevalence of poor sleep quality. This present study aimed to 1) characterize the sleep quality of a nationally representative sample (n = 6126) of Singapore residents using Pittsburg Sleep Quality Index (PSQI) and 2) identify the sociodemographic correlates of poor sleep in this population. A total of 27.6% of respondents reported poor sleep quality (PSQI score ≥5). Sociodemographic correlates of poor sleep quality in the Singapore population included, but were not limited to, females (AOR = 1.44, 95% CI = 1.17 to 1.77, p-value = 0.001), Malays (vs Chinese) (AOR = 1.53, 95% CI = 1.23 to 1.9, p-value < 0.001), Indians (vs Chinese) (AOR = 1.22, 95% CI = 1.02 to 1.47, p-value = 0.03), ex-smokers (vs non-smokers) (AOR = 1.43, 95% CI = 1.07 to 1.92, p-value = 0.02), persons with comorbid mental health conditions (vs no mental health conditions) (AOR = 14.11, 95% CI = 6.52 to 30.54, p-value < 0.01), and persons with physical multimorbidity (vs no physical conditions) (AOR = 1.63, 95% CI = 1.24 to 2.15, p-value < 0.001). The prevalence of poor sleep in Singapore is comparable to that of other countries in the Asian region. Targeted public health campaigns to psycho-educate vulnerable groups on the importance of good sleep hygiene may improve the overall wellbeing of residents in Singapore.

The moderating effect of employment status on the relationship between lifetime major depressive disorder and positive mental health.

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.

Dietary patterns of persons with chronic conditions within a multi-ethnic population: results from the nationwide Knowledge, Attitudes and Practices survey on diabetes in Singapore.

BACKGROUND: Chronic conditions are a leading cause of death and disability worldwide and respective data on dietary patterns remain scant. The present study aimed to investigate dietary patterns and identify sociodemographic factors associated with Dietary Approaches to Stop Hypertension (DASH) scores within a multi-ethnic population with various chronic conditions. METHODS: The present study utilised data from the 2019-2020 Knowledge, Attitudes, and Practices study on diabetes in Singapore - a nationwide survey conducted to track the knowledge, attitudes, and practices pertaining to diabetes. The study analysed data collected from a sample of 2,895 Singapore residents, with information from the sociodemographic section, DASH diet screener, and the modified version of the World Mental Health Composite International Diagnostic Interview (CIDI) version 3.0 checklist of chronic physical conditions. RESULTS: Respondents with no chronic condition had a mean DASH score of 18.5 (±4.6), those with one chronic condition had a mean DASH score of 19.2 (±4.8), and those with two or more chronic conditions had a mean DASH score of 19.8 (±5.2). Overall, the older age groups [35- 49 years (B = 1.78, 95% CI: 1.23 - 2.33, p <0.001), 50-64 years (B = 2.86, 95% CI: 22.24 - 3.47, p <0.001) and 65 years and above (B = 3.45, 95% CI: 2.73 - 4.17, p <0.001)], Indians (B = 2.54, 95% CI: 2.09 - 2.98, p <0.001) reported better diet quality, while males (B = -1.50, 95% CI: -1.87 - -1.14, p <0.001) reported poorer diet quality versus females. CONCLUSION: Overall, respondents with two or more chronic conditions reported better quality of diet while the sociodemographic factors of age, gender and ethnicity demonstrated a consistent pattern in correlating with diet quality, consistent with the extant literature. Results provide further insights for policymakers to refine ongoing efforts in relation to healthy dietary practices for Singapore.

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.

Accuracy of self-reported height, weight and BMI in a multiethnic Asian population.

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, P<0.001) and kappa (0.74). For BMI categories, good to excellent kappa agreement was observed (0.68-0.81, P<0.0001). 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.

The Relationship between Suicidality and Socio-Demographic Variables, Physical Disorders, and Psychiatric Disorders: Results from the Singapore Mental Health Study 2016.

Suicidality encompasses suicidal ideation, plans, and attempts. This paper aims to establish associations between suicidality and sociodemographic variables, physical disorders, and psychiatric disorders. The Singapore Mental Health Study 2016 was a population-level epidemiological survey, which determined the prevalence of physical disorders, psychiatric disorders, and suicidality. Questionnaires were used to determine socio-demographic information. A total of 6216 respondents were interviewed. Lifetime prevalence of suicidal ideation, planning, and attempts were 7.8%, 1.6%, and 1.6%, respectively. All components of suicidality were more likely in those with major depressive disorder, bipolar disorder, generalized anxiety disorder, alcohol use disorder, and chronic pain. Suicidal ideation and attempts were more likely in those with diabetes. Age above 65, being male, and a monthly household income of ≥ SGD 10,000 were associated with a lower likelihood of suicidal ideation. These findings indicate that there are high-risk groups for whom suicidality is a concern, and for whom interventions may be needed.

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.

Religious Affiliation in Relation to Positive Mental Health and Mental Disorders in a Multi-Ethnic Asian Population.

BACKGROUND: This study investigated association of religious affiliation with positive mental health (PMH) and mental disorders. METHODS: A cross-sectional survey of 2270 adults was conducted in Singapore. Participants reported their religious affiliation to Buddhism, Christianity, Hinduism, Islam, Sikhism, Taoism, or other religions. A PMH instrument measured total PMH and six subcomponents: general coping (GC), emotional support (ES), spirituality (S), interpersonal skills (IS), personal growth and autonomy (PGA), and global affect (GA). Lifetime history of mental disorders was assessed with the Composite International Diagnostic Interview. RESULTS: Total PMH (mean ± SD) was 4.56 ± 0.66 for participants with any religion versus 4.12 ± 0.63 (p = 0.002) in those without any religion. After adjustment for all potential confounders, the mean difference in total PMH between these groups was 0.348 (95% CI: 0.248-0.448). Having any religion was significantly associated with higher scores for S, GC, ES, IS, but not with PGA, GA or mental disorders. Compared with individuals without any religion, total PMH and S levels were significantly higher across all religions. Additionally, Christianity was significantly associated with higher ES, Taoism with higher GC, Buddhism and Islam with higher GC, ES and IS, Hinduism with higher IS and Sikhism with higher ES and IS. CONCLUSION: Our results indicate that religious affiliation is significantly associated with higher PMH, but not with mental disorders in an Asian community setting. In addition, different religions showed unique patterns of association with PMH subcomponents.

The association of mental disorders with perceived social support, and the role of marital status: results from a national cross-sectional survey.

BACKGROUND: This study investigated whether (i) mental disorders were associated with perceived social support and its subcomponents, (ii) current marital status was related to perceived social support, and (iii) 'Married' status influenced the relationship between mental state and perceived social support. METHODS: Data from a cross-sectional national survey comprising 6126 respondents were used. Lifetime diagnosis for five mental disorders was assessed with a structured questionnaire. Perceived social support was measured with the Multidimensional Scale of Perceived Social Support (MSPSS) that provides Global and subscale scores for Significant Other, Family and Friends. Multiple linear regression analyses were conducted to address the research questions with MSPSS score as the dependent variable. Structural equation modeling (SEM) was performed to test mediation by marital status. RESULTS: All mental disorders included in the study, except alcohol use disorder (AUD), were significantly and negatively associated with Global MSPSS scores. After controlling for sociodemographic factors and chronic physical illness, major depressive disorder (ß = - 0.299, 95% CI: -0.484 - -0.113, p = 002) and having any of the five mental disorders (ß = - 0.133, 95% CI: -0.254 - -0.012, p = 032) were negatively associated with support from Significant Other, while support from Family and Friends was lower among all disorders, except AUD. Being married was positively associated with perceived social support in people with and without mental disorders. Results of the SEM partially support mediation by mental state - perceived social support relationship by 'Married' status. CONCLUSION: Having mental disorders was associated with lower perceived social support. Being married has potential to influence this relationship.

The Public Health Impact and Policy Implications of Online Support Group Use for Mental Health in Singapore: Cross-Sectional Survey.

BACKGROUND: The wide mental health treatment gap continues to pose a global and local public health challenge. Online support groups are on the rise and could be used to complement formal treatment services for mental health. OBJECTIVE: This study aimed to examine the prevalence of online support group use and explore factors associated with the use in the general population using data from a national cross-sectional mental health survey in Singapore. METHODS: Singapore residents aged 18 years and above participated in a nationally representative household survey in which the World Health Organization Composite International Diagnostic Interview 3.0 was administered by trained interviewers to examine the use of online support groups for mental health. Multiple logistic regressions were used to analyze the association of online support group use with various sociodemographic and health factors. RESULTS: A total of 6110 respondents with complete data were included in this study. Overall, 10 individuals per 1000 adults (1%) reported seeking help from online support groups for their mental health problems. Compared to younger adults (those aged 18 to 34 years) and those with university education, individuals aged 50 to 64 years (P<.001; OR 0.1, 95% CI 0.0-0.3) and those with preuniversity qualifications (P=.02; OR 0.1, 95% CI 0.0-0.8) were less likely to use online support groups for mental health, respectively. Participants with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) mental disorder were 6.8 times more likely (P<.001; 95% CI 3.0-15.4) to use an online support group; in particular, individuals with major depressive disorder (P<.001; OR 5.4, 95% CI 2.1-13.8) and obsessive compulsive disorder (P=.01; OR 3.5, 95% CI 1.3-9.7) were more likely to use an online support group for their mental health. CONCLUSIONS: Online support groups could be used to complement formal treatment services, especially for mood and anxiety-related disorders. As online support group use for mental health issues may be more prevalent among younger people, early detection and accurate information in online support groups may guide individuals toward seeking professional help for their mental health problems.

Independent and combined associations of sleep duration and sleep quality with common physical and mental disorders: Results from a multi-ethnic population-based study.

Sleep duration and sleep quality are often linked to increased risk of mortality and morbidity. However, national representative data on both sleep duration and sleep quality and their relationship with chronic health problems are rarely available from the same source. This current study aimed to examine the independent and combined associations of sleep duration and sleep quality with physical and mental disorders, using data from the Singapore Mental Health Study 2016. 6,126 residents aged ≥18years participated in this epidemiological, cross-sectional survey. Sleep measures were assessed using the Pittsburg Sleep Quality Index while lifetime or 12-month medical and psychiatric diagnoses were established using the Composite International Diagnostic Interview 3.0. Both short sleep (<6hrs compared to 7-8hrs) and poor sleep were found to be independently associated with chronic pain, obsessive compulsive disorder and any mental disorder while poor sleep was additionally associated with major depressive disorder, bipolar disorder, generalized anxiety disorder and any physical disorder, when adjusted for confounders. Poor sleep combined with short sleep (≤6hrs/day vs 7-8hrs/day) was associated with the highest number of comorbidities among other sleep combinations. Sleep duration and sleep quality, when adjusted for each other, remained independently associated with both physical and mental disorders. Affective disorders may be more closely related to poor sleep quality compared to abnormal sleep duration. Our findings suggest sleep quality to be a more important indicator for psychological and overall health compared to sleep duration.

Study protocol for a nationwide Knowledge, Attitudes and Practices (KAP) survey on diabetes in Singapore's general population.

INTRODUCTION: This study aims to establish the Knowledge, Attitudes and Practices (KAP) of the general population (people with and without diabetes) towards diabetes. The study will examine (a) recognition and understanding of causes, prevention and treatment strategies of diabetes; (b) identify the knowledge gaps and behavioural patterns that may hamper diabetes prevention and control; (c) stigma towards and stigma perceived by people with diabetes and (d) awareness of anti-diabetes campaigns. METHODS AND ANALYSIS: The study is a nationwide, cross-sectional study of Singapore's general population aged 18 years and above (n=3000), comprising Chinese, Malay, Indian and other ethnic groups, who can understand English, Chinese, Malay or Tamil language. The sample was derived using a disproportionate stratified sampling using age and ethnicity. The proportion of respondents in each ethnic group (Chinese, Malay and Indian) was set to approximately 30%, while the proportion of respondents in each age group was set around 20% in order to ensure a sufficient sample size. The respondents will be administered questionnaires on diabetes KAP, stigma towards diabetes, lifestyle, diet and awareness of local anti-diabetes campaigns. The analysis will include descriptive statistics and multiple logistic and linear regression analyses to determine the socio-demographic correlates of correct recognition of diabetes, help-seeking preferences, as well as overall knowledge and attitudes among those with and without diabetes. We will consider a p value ≤0.05 as significant. ETHICS AND DISSEMINATION: This study protocol has been reviewed by the Institutional Research Review Committee and the National Healthcare Group Domain Specific Review Board (NHG DSRB Ref 2018/00430). The results of the study will be shared with policymakers and other stakeholders. There will be a local mass media briefing to disseminate the findings online, in print and on television and radio. The results will be published in peer-reviewed journals and presented in scientific meetings.

Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population.

BACKGROUND: The multidimensional Positive Mental Health Instrument (PMHI) has 47 items and six subscales. This study aimed to develop and validate a short unidimensional version of the PMHI among Singapore's adult resident population. METHODS: Using pooled data from three earlier studies (n = 1050), PMHI items were reduced by Partial Credit Rasch Model (PCRM) runs in a random split-half sample, while psychometric properties of the resulting measure were tested through confirmatory factor analysis (CFA), item response theory-graded response model and internal consistency reliability in the other half. Its reliability, construct and concurrent validity, agreement with the original scale, floor and ceiling effect, and scale estimates were further investigated in an external representative general population sample (n = 1925). RESULTS: The average age of the participants was around 41 years. Four PCRM re-runs for item selection resulted in a 6-item unidimensional Rapid PMHI (R-PMHI). CFA confirmed the unidimensional structure of the R-PMHI in the internal (RMSEA = 0.075, CFI = 0.985, TLI = 0.974) and external (RMSEA = 0.051, CFI = 0.992, TLI = 0.987) validation samples. In the external validation sample, the R-PMHI met concurrent validity criteria, showing high agreement with the 47-item version with intra-class correlation coefficient of 0.872 (95% CI: 0.861 to 0.882) and low floor and ceiling effects. Weight-adjusted mean (SE, 95% CI) R-PMHI score in the population was 4.86 (0.2, 4.82-4.90). CONCLUSION: The unidimensional 6-item R-PMHI offers brevity over the original multidimensional measure while appropriately representing the positive mental health construct. Prospective studies are needed to assess its responsiveness and test-retest reliability.

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.

Obsessive-Compulsive Disorder in Singapore: Prevalence, Comorbidity, Quality of Life and Social Support.

INTRODUCTION: Using data from Singapore Mental Health Study 2016 (SMHS 2016), we examined the prevalence of lifetime and 12-month obsessive-compulsive disorder (OCD), its sociodemographic correlates and association with comorbid psychiatric disorders and physical conditions, perceived social support and quality of life. MATERIALS AND METHODS: The World Mental Health Composite International Diagnostic Interview (version 3.0) was administered by trained interviewers to 6126 residents aged ≥18 years old to assess OCD prevalence and that of other select psychiatric disorders. Details on sociodemographics, perceived social support and health-related quality of life were obtained. RESULTS: Lifetime and 12-month prevalence of OCD was 3.6% and 2.9%, respectively. Adjusted regression analysis showed that those with OCD had significantly higher odds of major depressive disorder (odds ratio [OR], 5.4), bipolar disorder (OR, 8.9), generalised anxiety disorder (OR, 7.3) and alcohol abuse (OR, 2.7). OCD was significantly associated with suicidal ideation and suicidality (OR, 5.1). OCD subjects also had higher odds of chronic pain (OR, 2.4) and diabetes (OR, 3.1). Finally, OCD subjects had lower mean mental composite summary scores than controls (respondents without any of the psychiatric disorders and physical conditions included in SMHS 2016) and those with other lifetime psychiatric disorders and physical conditions. CONCLUSION: OCD prevalence in Singapore is high. Most people with OCD do not seek treatment despite experiencing significant comorbidity and loss of quality of life.

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.

Associative stigma among mental health professionals in Singapore: a cross-sectional study.

OBJECTIVES: (1) Investigate and explore whether different classes of associative stigma (the process by which a person experiences stigmatisation as a result of an association with another stigmatised person) could be identified using latent class analysis; (2) determine the sociodemographic and employment-related correlates of associative stigma and (3) examine the relationship between associative stigma and job satisfaction, among mental health professionals. DESIGN: Cross-sectional online survey. PARTICIPANTS: Doctors, nurses and allied health staff, working in Singapore. METHODS: Staff (n=462) completed an online survey, which comprised 11 associative stigma items and also captured sociodemographic and job satisfaction-related information. Latent class analysis was used to classify associative stigma on patterns of observed categorical variables. Multinomial logistic regression was used to examine associations between sociodemographic and employment-related factors and the different classes, while multiple linear regression analyses were used to examine the relationship between associative stigma and job satisfaction. RESULTS: The latent class analysis revealed that items formed a three-class model where the classes were classified as 'no/low associative stigma', 'moderate associative stigma' and 'high associative stigma'. 48.7%, 40.5% and 10.8% of the population comprised no/low, moderate and high associative stigma classes, respectively. Multinomial logistic regression showed that years of service and occupation were significantly associated with moderate associative stigma, while factors associated with high associative stigma were education, ethnicity and occupation. Multiple linear regression analyses revealed that high associative stigma was significantly associated with lower job satisfaction scores. CONCLUSION: Associative stigma was not uncommon among mental health professionals and was associated with sociodemographic factors and poorer job satisfaction. Associative stigma has received comparatively little attention from empirical researchers and continued efforts to address this understudied yet important construct in conjunction with future efforts to dispel misconceptions related to mental illnesses are needed.