Health and disability - a multi-group latent class analysis of the World Health Organization Disability Assessment Schedule 2.0 among those with mental and physical health conditions.

BACKGROUND: This study aims to identify disability classes among people with schizophrenia spectrum disorder, depression, anxiety or diabetes via the WHODAS 2.0; investigate the invariance of disability patterns among the four diagnostic groups; and examine associations between disability classes and sociodemographic variables. METHODS: Patients seeking treatment for schizophrenia spectrum disorder, depression, anxiety or diabetes (n=1076) were recruited. Latent class analysis was used to identify disability classes based on WHODAS 2.0 responses. Measurement invariance was tested using multi-group latent class analysis. Associations between classes and sociodemographic variables were tested via multinomial logistic regression. RESULTS: A five-class solution was identified; examination of model invariance showed that the partially constrained five-class model was most appropriate, suggesting that class structure was consistent while class membership differed across diagnostic groups. Finally, significant associations were found between class membership and ethnicity, education level, and employment status. CONCLUSIONS: The results show the feasibility of using the WHODAS 2.0 to identify and compare different disability classes among people with mental or physical conditions and their sociodemographic correlates. Establishing a typology of different disability profiles will help guide research and treatment plans that tackle not just clinical but also functional aspects of living with either a chronic psychiatric or physical condition.

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.

Public awareness of war on diabetes campaign and its association with behavioural outcomes.

The War on Diabetes campaign was launched in 2016, encouraging Singapore residents to engage in regular exercise, adopt healthy dietary habits and screen for early detection of diabetes. This study aims to examine campaign awareness and its associations with sedentary behaviour, dietary habits and identifying diabetes. Data were obtained from the nationwide Knowledge, Attitudes and Practices study on diabetes in Singapore. A total of 2895 participants responded to a single question assessing campaign awareness. The Dietary Approaches to Stop Hypertension (DASH) diet screener assessed dietary habits, and the Global Physical Activity Questionnaire (GPAQ) measured sedentary behaviour. Recognition of diabetes was established using a vignette depicting a person with diabetes mellitus. Logistic and linear regression models were used to measure the associations. Most participants were 18- to 34-years old (29.9%) and females (51.6%). About 57.4% identified the campaign. Campaign awareness exhibited positive associations with identifying diabetes based on the vignette [odds ratio (OR): 1.5; 95% confidence interval (CI): 1.1-2.2; P = 0.022], lower odds of sedentary behaviour ≥7 h/day (OR: 0.7; CI: 0.5-0.9; P = 0.018) and higher DASH scores (ß = 1.3; P < 0.001). The study recognized early significant associations between the behavioural outcomes and the campaign, emphasizing the need for ongoing campaign sustainability and evaluation of its long-term impact on population health.

Equipercentile linking of the Sheehan Disability Scale and the World Health Organization Assessment Schedule 2.0 scales in people with mental disorders.

BACKGROUND: The Sheehan Disability Scale (SDS) and the World Health Organization Disability Assessment Scale (WHODAS 2.0) have been widely used to measure functional impairment and disability. To ensure that the scores from these two scales are practically exchangeable across diseases, therapies, and care programmes, the current study aimed to examine the linkage of the WHODAS 2.0 with the SDS and develop a simple and reliable conversion table for the two scales in people with mental disorders. METHODS: A total of 798 patients (mean age = 36.1, SD = 12.7) were recruited from outpatient clinics of the Institute of Mental Health, and the Community Wellness Clinic in Singapore. Using a single-group design, an equipercentile equating method with log-linear smoothing was used to establish a conversion table from the SDS to the WHODAS 2.0 and vice versa. RESULTS: The conversion table showed that the scores were consistent for the entire range of scores when the scores were converted either from the SDS to the WHODAS 2.0 or from the WHODAS 2.0 to the SDS. The agreement between the WHODAS 2.0's raw and converted scores and SDS's raw and converted scores were interpreted as good with intraclass correlation coefficient of 0.711 and 0.725, respectively. CONCLUSION: This study presents a simple and reliable method for converting the SDS scores to the WHODAS 2.0 scores and vice versa, enabling interchangeable use of data across these two disability measures.

Mapping the World Health Organization Disability Assessment Scale 2.0 to the EQ-5D-5L in patients with mental disorders.

OBJECTIVE: The current study aims to develop an algorithm for mapping the WHODAS 2.0 to the EQ-5D-5 L for patients with mental disorders. METHODS: This cross-sectional study was conducted at the Institute of Mental Health and Community Wellness Clinics in Singapore between June 2019 and November 2022. We included four regression methods including the Ordinary Least Square (OLS) regression, the Tobit regression model (Tobit), the robust regression with MM estimator (MM), and the adjusted limited dependent variable mixture model (ALDVMM) to map EQ-5D-5 L utility scores from the WHODAS 2.0. RESULTS: A total of 797 participants were included. The mean EQ-5D-5 L utility and WHODAS 2.0 total scores were 0.615 (SD = 0.342) and 11.957 (SD = 8.969), respectively. We found that the EQ-5D-5 L utility score was best predicted by the robust regression model with the MM estimator. Our findings suggest that the WHODAS 2.0 total scores were significantly and inversely associated with the EQ-5D-5 L utility scores. CONCLUSION: This study provides a mapping algorithm for converting the WHODAS 2.0 scores into EQ-5D-5 L utility scores which can be implemented using a simple online calculator in the following web application: https://eastats.shinyapps.io/whodas_eq5d/.

Changes in body mass index and its association with socio-demographic characteristics between 2010 and 2016 in Singapore.

Background: Epidemiological studies have observed an increase in the prevalence of obesity in both western and Asian countries. This study aims to compare the distribution of body mass index (BMI) in the general population of Singapore between 2010 and 2016, and to explore the socio-demographic risk factors associated with it. Methods: Data for this study were extracted from two national-wise studies in 2010 and 2016, two population-based, cross-sectional epidemiological studies. BMI cut-off scores were used as an indicator to assess obesity in this study, and the data included in the analysis was self-reported by the respondents. Results: Overall, the study observed decreasing prevalence in underweight and normal weight categories; and an increasing prevalence in overweight and obesity categories in the Singapore adult population between 2010 and 2016. Age, gender, ethnicity, marital status, and educational level were found to be significantly associated with BMI categories. Conclusion: The observed increase in the population's BMI between 2010 and 2016 may lead to an increase in the incidence of chronic diseases in Singapore. Our study findings add to the existing local literature and provides data for evidence-based policymaking on health-related interventions and program planning.

Health care utilization, productivity losses, and burden of adverse childhood experiences in Singapore: Findings from a national survey.

OBJECTIVE: There is poor understanding on health care utilization, productivity losses, and burden of adverse childhood experiences (ACEs) in multiethnic Asian populations. Part of this research gap stems from the limited epidemiological data on neglect, emotional abuse, bullying, and dysfunctional home environments. This study estimated health care utilization, productivity losses, and burden of ACEs (at least one exposure and multiple exposures) in Singapore. METHOD: A total of 4,441 adult residents were recruited via door-to-door surveys in a nationally representative study in Singapore. All participants were assessed for ACEs, health care utilization, productivity losses, chronic physical disorders, and mental disorders on structured interviews. Approximation formulas were applied to calculate the estimated cost of ACEs in Singapore. RESULTS: ACEs were prevalent (63.9%) in the Singapore population. Individuals exposed to ≥ 3 ACEs (13.1%) utilized more direct medical care (e.g., primary care doctor and accident and emergency visits) and experienced greater productivity losses than those without ACEs (36.1%). The adjusted excess costs associated with ACEs per person were estimated to be S$767.40 (at least one ACE; 63.9%) and S$2167.84 (≥ 3 ACEs; 13.1%). The adjusted incremental costs of ACEs in the Singapore population were estimated to be S$1.18 billion (at least one ACE) and S$680 million (≥ 3 ACEs) per year. CONCLUSIONS: The health and economic burden of ACEs is substantial in Singapore. Our results highlight the importance of investing in novel, population-based ACEs interventions, and the potential return on investment through preventive care and alleviation of the health care burden. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prevalence of consumption of illicit drugs and associated factors from a nationwide epidemiological survey: The Singapore Health and Lifestyle Survey.

Introduction: The primary aims of the current nationwide study were to establish the lifetime and 12-month prevalence of consumption of illicit drugs and its correlates in the general population of Singapore. Method: A representative sample of 6509 Singapore residents (Singapore citizens and permanent residents) aged between 15 and 65 years were randomly selected for participation. Questionnaires were administered to assess the consumption of illicit drugs and collect information on correlates. All analyses were weighted to produce prevalence estimates for the consumption of drugs and other measured outcomes. Rao-Scott chi-square test and logistic regression analyses were performed to determine the association of sociodemographic and clinical characteristics with lifetime consumption of illicit drugs. Results: The study was completed with a response rate of 73.2%. The lifetime prevalence of consuming illegal drugs was 2.3% (95% confidence interval [CI] 1.9-2.8) (n=180). Compared to individuals aged 15-34, those aged 50-65 (odds ratio [OR] 0.3, 95% CI 0.2-0.7) had lower odds of lifetime drug consumption. Current smokers (OR 4.7, 95% CI 2.7-8.3) and ex-smokers (OR 5.9, 95% CI 3.2-11.1) had significantly higher odds of lifetime drug consumption than non-smokers. Individuals with hazardous alcohol use (OR 3.3, 95% CI 1.7-6.5) had higher odds of lifetime drug consumption than those without hazardous alcohol use. Conclusion: This is the first nationwide study to examine the prevalence of illicit drug consumption in the general population of Singapore. The results highlight the need to increase awareness of drug consumption in Singapore, especially among parents, teachers, healthcare workers and others who work with young people.

Prevalence and risk factors of depression and anxiety in primary care.

Introduction: Anxiety and depressive disorders are highly prevalent mental health conditions worldwide. However, little is known about their specific prevalence in primary care settings. This study aimed to determine the prevalence of depression and anxiety in the primary care population and identify associated patient characteristics. Method: We conducted a cross-sectional study using stratified sampling by age with a self-administered questionnaire survey in Singapore's National Health-care Group Polyclinics from December 2021 to April 2022. A total score of Patient Health Questionnaire-9 (PHQ-9) ≥10 represents clinical depression, and a total score of Generalised Anxiety Disorder-7 (GAD-7) ≥10 indicates clinical anxiety. Multivariable logistic regression was used to identify the factors associated with depression and anxiety. Results: A total of 5694 patients were approached and 3505 consented to the study (response rate=61.6%). There was a higher prevalence of coexisting clinical depression and anxiety (DA) (prevalence=5.4%) compared to clinical depression only (3.3%) and clinical anxiety only (1.9%). The odds of having DA were higher among those aged 21-39 years (odds ratio [OR] 13.49; 95% confidence interval [CI] 5.41-33.64) and 40-64 years (OR 2.28; 95% CI 1.03-5.03) compared to those ≥65 years. Women had higher odds of having DA (OR 2.33; 95% CI 1.54-3.50) compared to men. Respondents with diabetes had higher odds of having DA (OR 1.78; 95% CI 1.07-2.94) compared to those without diabetes. Conclusion: Coexisting clinical depression and anxiety are significantly present in the primary care setting, especially among younger individuals, patients with diabetes and women. Mental health screening programmes should include screening for both depression and anxiety, and target these at-risk groups.

Problematic smartphone use and mental health outcomes among Singapore residents: The health and lifestyle survey.

BACKGROUND: The excessive use of smartphones and its association with adverse outcomes has been widely reported, with several studies showing an association between smartphone overuse, depression, anxiety, and sleep-related problems. METHODS: The study used data from the Health and Lifestyle Survey, a nationwide population survey. It examined the prevalence of Problematic Smartphone Use (PSU) and its association with mental health outcomes among Singapore residents aged 15-65 years. PARTICIPANTS: Participants were assessed for PSU using the Smartphone Addiction Scale-Short Version, psychological distress with the Patient Health Questionnaire-9, and Generalised Anxiety Disorder -7 questionnaire, sleep problems using the Insomnia Severity Index, and positive mental health with Rapid Positive Mental Health Instrument. RESULTS: In all, 6509 participants completed the survey, giving a survey response rate of 73.2 %. The prevalence of PSU was 30.2 % in the population. Individuals with PSU were more likely to have symptoms of moderate or severe depression (OR: 3.2, 95 % CI: 2.4-4.4), anxiety (OR: 3.4, 95 % CI: 2.4-4.8), insomnia (OR: 3.4, 95 % CI: 2.8-4.2), and poorer positive mental health (ß: -0.3, 95 % CI: -0.4 to -0.2). CONCLUSIONS: The study is the first to examine PSU in a national sample of Singaporeans across a wide age range. It provides valuable insights into mental health comorbidities among those with PSU, which is useful for practitioners.

Risk and protective factors of mental health during the COVID-19 pandemic: A cross-sectional study in Singapore.

Introduction: The main aims of the study were to: establish the average levels of psychological distress, suicidality and positive mental health (PMH); and examine their associated risk and protective factors in the population of Singapore during the early phase of the COVID-19 pandemic. Method: Participants from a national psychiatric epidemiological study conducted in the general population of Singapore from 2016 to 2018, who had agreed to be re-contacted, were invited to participate in the study that was conducted from May 2020 to June 2021. Questionnaires assessing psychological distress, causes of stress, resilience and PMH were administered. Results: A total of 1,129 respondents completed the study. The mean age was 47.7 (standard deviation = 16.5) years. The prevalence of stress, depression and anxiety was 7.1%, 8.0% and 8.4%, respectively. The final pathways model showed that high concerns related to possible COVID-19 infection of family members or friends were significantly associated with higher stress (ß = 0.242, P<0.001), depression (ß = 0.152, P=0.001) and anxiety (ß = 0.280, P<0.001). High resilience was significantly associated with lower stress (ß = -0.482, P<0.001), depression (ß = -0.394, P<0.001) and anxiety (ß = -0.516, P<0.001), and with high PMH (ß = 0.498, P<0.001). Conclusion: The findings highlight the negative impact of fear of COVID-19 infection, social distancing and isolation on the mental health of the population. Resilience and PMH were associated with lower psychological stress, and interventions to improve these characteristics can enhance mental health and well-being.

Benefits of leisure-related physical activity and association between sedentary time and risk for hypertension and type 2 diabetes.

Introduction: Lifestyle modifications can reduce the risk of type 2 diabetes mellitus (T2DM) and hypertension. Our study investigated whether domain-specific physical activity (such as work, transport and leisure) and sedentary behaviour were associated with T2DM and hypertension, and whether these associations were moderated by sex and age. Method: For this cross-sectional study, data were obtained from a population survey in Singapore (n=2,867) conducted from February 2019 to March 2020. T2DM and hypertension were self-reported. Global physical activity questionnaire was used to assess domain-specific physical activity (in metabolic equivalent of task [MET]-minutes) and sedentary time (in hours). Logistic regression models were generated to examine the abovementioned associations, and adjusted for age, sex, education, ethnicity, personal income, body mass index, diet and hypertension/diabetes. Interaction terms were included individually to investigate whether age and sex moderated the associations. Results: Individuals with >826 MET-minutes of leisure-related physical activity per week had lower odds of having T2DM (odds ratio [OR] 0.46, 95% confidence interval [CI] 0.24-0.86) and hypertension (OR 0.59, 95% CI 0.37-0.94) than those with no leisure-related physical activity. Individuals with >8 hours of sedentary time daily had higher odds of having hypertension (OR 1.69, 95% CI 1.06-2.69) than those with 0-5 hours of sedentary time. Logistic regression models including interaction terms showed that the association between leisure-related physical activity and hypertension was significant for those aged 18-34 (OR 0.15, 95% CI 0.03-0.66) and 50-64 years (OR 0.44, 95% CI 0.21-0.91). The association between sedentary time and hypertension was significant for those aged 18-34 years (OR 15.07, 95% CI 1.69-133.92). Conclusion: Our results support the widespread promotion of an active lifestyle to lower the prevalence of diabetes and hypertension in Singapore.