Geographic distribution and determinants of mental health stigma in central Mozambique.

Journal: Social psychiatry and psychiatric epidemiology

Volume: 54

Issue: 11

Year of Publication: 2020

Affiliated Institutions:  Department of Global Health, University of Washington, NE Pacific Street, Seattle, WA, , USA. april.zhangyue@outlook.com. Department of Global Health, University of Washington, NE Pacific Street, Seattle, WA, , USA. Institute for Disease Modeling, Bellevue, WA, USA. Mozambique Ministry of Health, Maputo, Sofala, Mozambique.

Abstract summary 

This study describes patterns of community-level stigmatizing attitudes towards mental illness (MI) in central Mozambique.Data for this study come from a representative community household survey of 2933 respondents ≥ 18 years old in Manica and Sofala Provinces, Mozambique. Six MI stigma questions represented primary research outcomes. Bivariate and multivariable analyses examined the relationship between key explanatory factors and each stigma question. Spatial analyses analyzed the smoothed geographic distribution of responses to each question and explored the association between geographic location and MI stigma controlling for individual-level socio-demographic factors.Stigmatizing attitudes towards MI are prevalent in central Mozambique. Analyses showed that males, people who live in urban places, divorced and widowed individuals, people aged 18-24, people with lower education, people endorsing no religion, and people in lower wealth quintiles tended to have significantly higher levels of stigmatizing attitudes towards MI. Individuals reporting depressive symptoms scored significantly higher on stigmatizing questions, potentially indicating internalized stigma. Geographic location is significantly associated with people's response to five of the stigma questions even after adjusting for individual-level factors.Stigmatizing attitudes towards MI are common in central Mozambique and concentrated amongst specific socio-demographic groups. However, geographic analyses suggest that structural factors within communities and across regions may bear a greater influence on MI stigma than individual-level factors alone. Further implementation science should consider focusing on identifying the most significant modifiable structural factors associated with MI stigma in LMICs to inform the development, testing, and optimization of multi-level stigma prevention interventions.

Authors & Co-authors:  Zhang Yue Y Augusto Orvalho O Ásbjörnsdóttir Kristjana K Akullian Adam A Cumbe Vasco V Rao Deepa D Gimbel Sarah S Sherr Kenneth K Wagenaar Bradley H BH

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Bass JK, Bornemann TH, Burkey M, Chehil S, Chen L, Copeland JR, Eaton WW, Ganju V, Hayward E, Hock RS, Kidwai R, Kolappa K, Lee PT, Minas H, Or F, Raviola GJ, Saraceno B, Patel V (2012) A United Nations General Assembly Special Session for mental, neurological, and substance use disorders: the time has come. PLoS Med 9(1):e1001159 10.1371/journal.pmed.1001159
Authors :  10
Identifiers
Doi : 10.1007/s00127-019-01708-8
SSN : 1433-9285
Study Population
Male,Female
Mesh Terms
Adolescent
Other Terms
Determinants of stigma;Geographic information systems;MI stigma;Mozambique;Spatial analysis
Study Design
Study Approach
Country of Study
Mozambique
Publication Country
Germany