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Background: A majority of mental illness start during adolescent period, and teachers can be a major resource in provision of mental health services to them. Stigma is a major barrier between persons with mental illness and opportunities to recover. Materials and Methods: Cross-sectional analytical study was conducted to assess the stigma toward mental illness and associated factors among higher secondary school teachers in Puducherry from April 2017 to March 2018. Multistage sampling was used to select 566 teachers from 46 schools. A part of the vignette-based “Mental Health Literacy Scale” portraying depression was used to assess stigma toward mental illness. Sociodemographic and work characteristics were also obtained. Data were analyzed using SPSS v16. To identify factors associated with stigma, bivariate analysis was done using Chi-square test and multivariate analysis using logistic regression. Results: Among the teachers, 72.9% and 65.7% showed overall agreement to personal and perceived stigma, respectively, toward case in vignette. Teachers in lower age group [adjusted odds ratio (AOR): 4.6 (95% confidence interval (CI): 2.54–8.33)], male gender [AOR: 2.79 (95% CI: 1.85–4.24)], working in urban [AOR: 2.8 (95% CI: 1.91–4.15)], private schools [AOR: 2.58 (95% CI: 1.77–3.77)], and less teaching experience [AOR: 3.72 (95% CI: 2.4–5.88)] had significantly higher personal stigma. Similarly, lower age group [AOR: 4.6 (95% CI: 2.54–8.33)], male gender [AOR: 2.79 (95% CI: 1.85–4.24)], working in urban [AOR: 2.8 (95% CI: 1.91–4.15)] schools, and less teaching experience [AOR: 3.72 (95% CI: 2.4–5.88)] had significantly higher perceived stigma. Conclusion: About 70% teachers showed overall agreement to stigma toward the depressive case vignette. The significant factors influencing stigma were identified. This can act as a baseline to implementmental health training program for teachers therefore bringing an attitudinal shift to being positive toward the psychologically disturbed.

Background: The magnitude of mental disorders is a growing public health concern. According to World Health Organization (WHO) reports, one out of five children suffer from a disabling mental illness. Majority of mental illnesses start during the adolescent period. Management of mental illnesses start from recognizing the needy adolescent and providing appropriate therapy and support. Most of the children and adolescents are students who spend almost half of their active time in schools under observation of their teachers. Teachers interact with students daily and can spot the changes in their behavior before they develop full-blown symptoms. Hence, teachers can be a major resource of importance in providing basic mental health services. The teacher’s ability to identify the early signs of mental illness in adolescent students can be considered as the most critical and neglected area. Majority of the studies are conducted in the community or adolescent students and much less attention has been paid to the mental health literacy of educators, who are important role models and youth influencers in addressing mental health literacy. The scenario in India in this regard is highly disappointing with few studies done among teachers.

Background: Healthcare expenditures exacerbate poverty, with about 39 million people falling into poverty every year because of such expenditures. Tobacco and alcohol consumption in addition to harmful health impact have economic consequences at household level. Aim: To evaluate healthcare, alcohol, and tobacco expenditures among households in rural Puducherry and their impact on household expenditure patterns. Materials and Methods: A community-based cross-sectional analytical study was conducted in selected villages within 5 km of a medical college hospital in Puducherry from September 2016 to June 2017. Sociodemographic details and various household expenditures were obtained from 817 households with 3459 individuals. Data were analyzed using STATA (v14). Results: Higher mean percentage of health expenditure was found among households with low socioeconomic status [17.7 (95% confidence interval (CI): 14–21.3)] and no health insurance schemes [13.4 (95% CI: 11.1–15.7)]. Households with low socioeconomic status [13.1 (95% CI: 7.5–18.7)] had higher tobacco–alcohol expenditure. Increased health expenditure among households was positively correlated with loan (r s = 0.48). Increased alcohol–tobacco expenditure among households was negatively correlated with food (r s = −0.52) and education (r s = −0.70) expenditure. Conclusion: Healthcare and alcohol–tobacco expenditure individually contributed to one-tenth of the household budget. Spending on healthcare, alcohol, and tobacco created significant negative influence on investment in human capital development.