Abstrato

Association between Community Collectivization and Mental Depression among Men Who Have Sex with Men in Andhra Pradesh, India

Suryawanshi D, Patel SK, Sharma V, Adhikary R and Bharat S

Abstract

Background: The role of community collectivization with mental health among Men who have Sex with Men (MSM) is understudied in developing countries. This study examines the prevalence of mental depression and its association with community collectivization among MSM in India. Data and

methods: The data used for this study are from a cross-sectional, Behavioral Tracking Survey conducted between January and February 2012 among 1176 MSM from Andhra Pradesh, a southern state of India. Mental depression among MSM was assessed using the Patient Health Questionnaire-2 scale. Univariate, bivariate and multivariate logistic regression models were used for analysis in this study.

Results: The average age of MSM was 28.2 years (SD: ± 6.2 years) and more than one-third of MSM (35%) in the survey reported having any mental depression in Andhra Pradesh. MSM, who had a high level of collective identity (not ashamed to be MSM) (33% vs. 41%, AOR: 0.54, 95% CI: 0.34-0.85) and collective agency (member of the community group) (34% vs. 38%, AOR: 0.46, 95% CI: 0.26-0.81) were less likely to be depressed as compared to their counterparts. Those who were members of the community group and had not experienced any violence, were less likely to have any depression (31% vs. 37%, AOR: 0.44, p=0.012).

Conclusion: This study highlights that community-led structural interventions are more successful and effective in HIV prevention along with enhancing positive mental health among the key population. This study demands for more community engagement activities in order to deal with mental health problems. This study recommends for further research and to explore the new community-led structural approaches with innovative ideas for integrated mental health counseling services among MSM.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado