Latent Profiles and Correlates of Mental Health Stigma in India

BACKGROUND: Stigma toward mental health problems is now being understood as a context-dependent, multidimensional concept. Nonetheless, empirical research continues to study stigma as a monolithic aspect, obscuring meaningful within-group variations. Such inquiries often obscure the people-centered patterns of stigma within the population. Recognizing such patterns aids in better understanding how stigma differentially influences help-seeking and resilience in the context of mental health. AIMS: Accordingly, the present study seeks to identify latent profiles for stigmatizing attitudes and their correlates among Indian adults. The study also explores how these profiles potentially differ in resilience and help-seeking attitudes. METHODS: The data were collected via a cross-sectional survey with 564 Indian adults. Standardized self-report measures like the Attitudes Toward Mental Health Problems Scale, the Connor-Davidson Resilience Scale - 10-item version, and the Inventory of Attitudes Toward Seeking Mental Health Services were used. RESULTS: Latent Profile Analysis revealed a four-profile model that differed significantly in resilience and help-seeking attitudes. Further, a multinomial logistic regression revealed attitudes toward seeking mental health services, accessibility, reliance on religion, and mental health awareness as correlates of profile membership. CONCLUSION: The findings indicate the presence of multiple patterns of stigmatizing attitudes among Indian adults. The results of this study could inform practice, policy, and context-sensitive interventions to reduce stigma and promote the use of mental health services.

Authors

Institutions

Publication Details

Journal
International Journal of Social Psychiatry
Published
2026-07-22
DOI
https://doi.org/10.1177/00207640261468250
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Latent Profiles and Correlates of Mental Health Stigma in India

Ananda Krishnan, Amrita Deb
International Journal of Social Psychiatry
Mental Health Treatment and Access
article

Latent Profiles and Correlates of Mental Health Stigma in India

Ananda Krishnan, Amrita Deb
article en

Abstract

BACKGROUND: Stigma toward mental health problems is now being understood as a context-dependent, multidimensional concept. Nonetheless, empirical research continues to study stigma as a monolithic aspect, obscuring meaningful within-group variations. Such inquiries often obscure the people-centered patterns of stigma within the population. Recognizing such patterns aids in better understanding how stigma differentially influences help-seeking and resilience in the context of mental health. AIMS: Accordingly, the present study seeks to identify latent profiles for stigmatizing attitudes and their correlates among Indian adults. The study also explores how these profiles potentially differ in resilience and help-seeking attitudes. METHODS: The data were collected via a cross-sectional survey with 564 Indian adults. Standardized self-report measures like the Attitudes Toward Mental Health Problems Scale, the Connor-Davidson Resilience Scale - 10-item version, and the Inventory of Attitudes Toward Seeking Mental Health Services were used. RESULTS: Latent Profile Analysis revealed a four-profile model that differed significantly in resilience and help-seeking attitudes. Further, a multinomial logistic regression revealed attitudes toward seeking mental health services, accessibility, reliance on religion, and mental health awareness as correlates of profile membership. CONCLUSION: The findings indicate the presence of multiple patterns of stigmatizing attitudes among Indian adults. The results of this study could inform practice, policy, and context-sensitive interventions to reduce stigma and promote the use of mental health services.

International Journal of Social Psychiatry
Indian Institute of Technology Hyderabad (IN)
Openalex Percentile: Top 5%
Mental Health Treatment and Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.