Stigma towards mental disorders has been shown to be a major obstacle to recovery and quality of life among people with psychiatric disorders. Despite significant advances in the treatment of mental disorders, stigma remains concerning to patients, caregivers, and healthcare professionals. Singapore is a city state in South-East Asia with a multi-ethnic population. A nation-wide campaign launched in 2018, Beyond the Label, focusing on addressing stigma and promoting social inclusion for persons with mental health conditions.

The aims of the current study were to (i) establish the dimensions of stigma and examine its correlates in the general population of Singapore using a vignette approach, and (ii) examine whether there was any change in stigma levels from 2016 to 2023.

Data for the current study comes from an ongoing nation-wide, cross-sectional study of mental health literacy conducted in Singapore since September 2022. The study population comprises Singapore Residents aged 18–65 years who are currently living in Singapore. Respondents were randomly assigned and presented a vignette describing one of seven specific disorders: alcohol abuse, dementia, depression, depression with suicidality, gambling disorder, obsessive-compulsive disorder, and schizophrenia. Stigma was assessed using Personal and Perceived scales of the Depression Stigma Scale (DSS) (Griffiths et al. Br J Psychiatry; 2004 185 342-349), and the Social Distance scale (SDS) (Link et al. Am J Public Health 1999; 89 1328–1333).

2500 respondents who completed the survey were included in the current analysis. The mean age of the respondents was 42.8 years. A three-factor model comprising ‘weak-not-sick’, ‘dangerous/undesirable’, and ‘social distance’ provided acceptable fit. Multivariable linear regression analyses revealed that younger age, female gender, students, and dementia vignette were significantly associated with lower weak-not-sick scores while Malay and Indian ethnicity, lower education, and alcohol abuse and gambling disorder vignette were significantly associated with higher weak-not-sick scores. Those of Malay and Indian ethnicities and those with a family member or close friend who had problems similar to the person in the vignette were significantly associated with lower social distance scores.

A significant decrease (p<0.001) in all three factor scores was observed from 2016 to 2023 (Table 1).Table 1.

Mean stigma scores over time

Our study found a significant decrease in stigma from 2016 to 2023 in the Singapore population which indicates the positive impact of anti-stigma initiatives in Singapore. Interventions must be co-developed with males, older adults, and those with a lower education to further reduce stigma in this multi-ethnic population.

None Declared

Mental health stigma is a multidimensional concept that encompasses many different themes and definitions. Public stigma is defined as the degree to which the general public holds negative views and discriminates against a specific group.

To understand the context and correlates of stigma in multi-ethnic Singapore.

The current study aimed to (i) explore the factor structure of the Depression Stigma Scale and the Social Distance Scale using an exploratory structural equation modelling approach and (ii) examine the correlates of the identified dimensions of stigma in the general population of Singapore.

Data for the current study came from a larger nation-wide cross-sectional study of mental health literacy conducted in Singapore. All respondents were administered the Personal and Perceived scales of the Depression Stigma Scale and the Social Distance scale to measure personal stigma and social distance respectively.

The findings from the factor analysis revealed that personal stigma formed two distinct dimensions comprising “Weak-not-Sick” and “Dangerous/Unpredictable” components while social distance stigma items loaded strongly into a single factor. Those of Malay and Indian ethnicity, lower education, lower income status and those who were administered the depression and alcohol abuse vignette were significantly associated with higher weak-not-sick scores. Those of Indian ethnicity, 6 years of education and below, lower income status and those who were administered the alcohol abuse vignette were significantly associated with higher dangerous/unpredictable scores.

There is a need for well-planned and culturally relevant anti-stigma campaigns in this population.

The authors have not supplied their declaration of competing interest.

Various socio-demographic variables have been shown to influence attitudes towards seeking professional psychological help (ATSPPH), while negative ATSPPH can act as a barrier to mental healthcare, resulting in under-utilization of psychological services.

To explore the factor structure of the ATSPPH scale and determine whether any significant socio-demographic differences exist in relation to ATSPPH among a nationally representative sample.

Data was extracted from a population-based, cross-sectional survey conducted between March 2014 and March 2015 among Singapore Residents aged 18-65 years (n = 3006). Respondents completed the 10-item ATSPPH scale and also provided socio-demographic information. Exploratory factor analysis (EFA) was performed to establish the factor structure of the ATSPPH scale. Multivariable linear regression analyses were conducted to examine socio-demographic factors associated with ATSPPH.

EFA revealed that the ATSPPH scale formed three distinct dimensions comprising “Openness to seeking professional help”, “Value in seeking professional help” and “Preference to cope on your own”. Higher “Openness to seeking professional help” scores were significantly associated with 18-34-year-olds and unmarried respondents, whilst Malay ethnicity and lower education were significantly associated with lower openness scores. Malays, Indians and lower education were significantly associated with lower “Value in seeking professional help” scores, whereas higher “Preference to cope on your own” scores were significantly associated with lower education.

Population subgroups including those with lower educational levels and different ethnic groups have more negative ATSPPH. Tailored, culturally appropriate educational interventions which reduce negative ATSPPH are needed, which effectively target these populations.

The authors have not supplied their declaration of competing interest.

The second Singapore Mental Health Study (SMHS) – a nationwide, cross-sectional, epidemiological survey - was initiated in 2016 with the intent of tracking the state of mental health of the general population in Singapore. The study employed the same methodology as the first survey initiated in 2010. The SMHS 2016 aimed to (i) establish the 12-month and lifetime prevalence and correlates of major depressive disorder (MDD), dysthymia, bipolar disorder, generalised anxiety disorder (GAD), obsessive compulsive disorder (OCD) and alcohol use disorder (AUD) (which included alcohol abuse and dependence) and (ii) compare the prevalence of these disorders with reference to data from the SMHS 2010.

Door-to-door household surveys were conducted with adult Singapore residents aged 18 years and above from 2016 to 2018 (n = 6126) which yielded a response rate of 69.0%. The subjects were randomly selected using a disproportionate stratified sampling method and assessed using World Health Organization Composite International Diagnostic Interview version 3.0 (WHO-CIDI 3.0). The diagnoses of lifetime and 12-month selected mental disorders including MDD, dysthymia, bipolar disorder, GAD, OCD, and AUD (alcohol abuse and alcohol dependence), were based on the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria.

The lifetime prevalence of at least one mood, anxiety or alcohol use disorder was 13.9% in the adult population. MDD had the highest lifetime prevalence (6.3%) followed by alcohol abuse (4.1%). The 12-month prevalence of any DSM-IV mental disorders was 6.5%. OCD had the highest 12-month prevalence (2.9%) followed by MDD (2.3%). Lifetime and 12-month prevalence of mental disorders assessed in SMHS 2016 (13.8% and 6.4%) was significantly higher than that in SMHS 2010 (12.0% and 4.4%). A significant increase was observed in the prevalence of lifetime GAD (0.9% to 1.6%) and alcohol abuse (3.1% to 4.1%). The 12-month prevalence of GAD (0.8% vs. 0.4%) and OCD (2.9% vs. 1.1%) was significantly higher in SMHS 2016 as compared to SMHS 2010.

The high prevalence of OCD and the increase across the two surveys needs to be tackled at a population level both in terms of creating awareness of the disorder and the need for early treatment. Youth emerge as a vulnerable group who are more likely to be associated with mental disorders and thus targeted interventions in this group with a focus on youth friendly and accessible care centres may lead to earlier detection and treatment of mental disorders.

The current study aimed to: (i) describe the extent of overall stigma as well as the differences in stigma towards people with alcohol abuse, dementia, depression, schizophrenia and obsessive compulsive disorder, as well as (ii) establish the dimensions of stigma and examine its correlates, in the general population of Singapore, using a vignette approach.

Data for the current study came from a larger nation-wide cross-sectional study of mental health literacy conducted in Singapore. The study population comprised Singapore Residents (Singapore Citizens and Permanent Residents) aged 18–65 years who were living in Singapore at the time of the survey. All respondents were administered the Personal and Perceived scales of the Depression Stigma scale and the Social Distance scale to measure personal stigma and social distance, respectively. Weighted mean and standard error of the mean were calculated for continuous variables, and frequencies and percentages for categorical variables. Exploratory structural equation modelling and confirmatory factor analysis were used to establish the dimensions of stigma. Multivariable linear regressions were conducted to examine factors associated with each of the stigma scale scores.

The mean age of the respondents was 40.9 years and gender was equally represented (50.9% were males). The findings from the factor analysis revealed that personal stigma formed two distinct dimensions comprising ‘weak-not-sick’ and ‘dangerous/unpredictable’ while social distance stigma items loaded strongly into a single factor. Those of Malay and Indian ethnicity, lower education, lower income status and those who were administered the depression and alcohol abuse vignette were significantly associated with higher weak-not-sick scores. Those of Indian ethnicity, 6 years of education and below, lower income status and those who were administered the alcohol abuse vignette were significantly associated with higher dangerous/unpredictable scores. Those administered the alcohol abuse vignette were associated with higher social distance scores.

This population-wide study found significant stigma towards people with mental illness and identified specific groups who have more stigmatising attitudes. The study also found that having a friend or family member with similar problems was associated with having lower personal as well as social distance stigma. There is a need for well-planned and culturally relevant anti-stigma campaigns in this population that take into consideration the findings of this study.