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Background: Mental health literacy is an important mediating factor in help-seeking behavior. An important component of this literacy is the proper recognition of mental disorders. The aim of this population-based study in Singapore was to determine the proportion of adults in the resident population who were able to recognize vignettes pertaining to alcohol abuse, dementia, depression, obsessive compulsive disorder (OCD) and schizophrenia correctly. The sociodemographic characteristics that were associated with the ability to correctly recognize these disorders were also examined. Methods: This was a nationwide cross-sectional study that involved establishing mental health literacy using a vignette approach. Respondents were recruited using a disproportionate stratified sampling design by age and ethnic groups. Face-to face-interviews were conducted with respondents aged 18 to 65 years belonging to Chinese, Malay, Indian and Other ethnic groups. Results: A total of 3,006 respondents completed the survey (response rate of 71 %). The most well recognized conditions were dementia (66.3 %), alcohol abuse (57.1 %) and depression (55.2 %). The least recognized were OCD (28.7 %) and schizophrenia (11.5 %). Younger age and higher educational levels were found to be significant factors associated with the better recognition of specific disorders. Conclusion: The relatively high rate of recognition of dementia was likely to be due to the emphasis on public education programmes on dementia which is viewed as an emerging challenge due to Singapore's rapidly ageing population. The role of education and the portrayal of depression and alcohol related problems in the local mass media are possible influences in their better recognition as compared to OCD and schizophrenia. Sociodemographic characteristics influencing mental health literacy need to be considered in planning intervention strategies that target mental health literacy. [ABSTRACT FROM AUTHOR]

Background: The responsibility of caring for relatives with mental illness often falls on the family members. It has been reported that the reactions to or consequences of providing care are what rendered the role of a caregiver challenging and hence a source of distress. This present study thus aimed to identify socio-demographic correlates of caregiving experiences using the Caregiver Reaction Assessment (CRA) and to examine the associations between reactions to caregiving and psychological distress. Methods: A total of 350 caregivers with relatives seeking outpatient care at a tertiary psychiatric hospital were recruited for this study. Distress among caregivers was assessed using the Patient Health Questionnaire (PHQ-9). The CRA was administered to measure reactions from caregiving in four domains including impact on schedule and health (ISH), impact on finance (IF), lack of family support (LFS) and caregiver esteem (CE). Participants also completed a questionnaire that asked for their socio-demographic information. Multivariable linear regression analysis was first used with domains of CRA as outcome variables and socio-demographic variables as predictors in the models. The next set of multivariable linear regression analysis tested for the association between CRA domains and distress with CRA domain scores as outcome variables and PHQ-9 score as predictor, controlling for socio-demographic variables. Results: Socio-demographic correlates of CRA domains identified were age, education, employment, income and ethnicity. Domain scores of CRA were significantly associated with PHQ-9 score even after controlling for sociodemographic variables. A higher distress score was associated with greater impact felt in the domain of ISH (β = 0.080, P < 0.001), IF (β = 0.064, P < 0.001), and LFS (β = 0.057, P < 0.001), and was associated with lower CE domain scores (β = -0.021, P < 0.05). Conclusion: This study identified several socio-demographic correlates of caregiving reaction in the different domains. Each of these domains was found to be significantly associated with caregiver distress. Higher distress was associated with stronger impact on the negative domains and a lower impact in the positive domain of caregiving reaction. Interventions such as educational programs at the caregiver level, and also promoting wider social care support in these domains may help to address caregiver distress. [ABSTRACT FROM AUTHOR]