2017Indian Journal of PsychiatryOpen access

Mental well-being of migrants in urban center of India

Ghuncha Firdaus

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Abstract

Background: Rural to urban migration has become a salient feature of the country. However, there is a dearth of study highlighting impact of this movement on mental health of the migrant people. Aims: The main objective of the present study was to examine the relationship between specific components of social environment and psychological well-being of migrants in an urban center. Settings and Design: The National Capital Territory of Delhi was selected for intensive study and has an exploratory design supported by cross-sectional primary data. Methodology: A standardized questionnaire was used to obtain data about the socioeconomic characteristics of the respondents. For measuring the mental well-being, the World Health Organization Well-Being Index (WHO5) was used. The required information was procured through interview method from 1230 sampled respondents. Statistical Analysis: Influence of socioeconomic variables on mental well-being of the people was estimated through multivariate logistic regression methods. For different combinations of risk factors, five models were developed based on unstandardized likelihood coefficients. Results: Poor mental health was significantly higher among single/widow/divorced/separated (odds ratio [OR] =0.76, P < 0.01), unskilled (OR = 2.26, P < 0.01), daily wager (OR = 2.57, P < 0.01), and illiterate (OR = 2.55, P < 0.01). Longer year of immigration, younger age, and higher income level ( P < 0.001) were positively related to mental health. Poor housing conditions ( P < 0.001), adjustment problem ( P < 0.001), and feeling insecure ( P < 0.01) were independent predictors of poor mental health. Conclusion: Socioeconomic and environmental problem caused by the migrants and faced by the migrants is required in-depth study to formulate comprehensive policies.

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What this paper is about

Background: Rural to urban migration has become a salient feature of the country. However, there is a dearth of study highlighting impact of this movement on mental health of the migrant people. Aims: The main objective of the present study was to examine the relationship between specific components of social environment and psychological well-being of migrants in an urban center. Settings and Design: The National Capital Territory of Delhi was selected for intensive study and has an exploratory design supported by cross-sectional primary data. Methodology: A standardized questionnaire was used to obtain data about the socioeconomic characteristics of the respondents. For measuring the mental well-being, the World Health Organization Well-Being Index (WHO5) was used. The required information was procured through interview method from 1230 sampled respondents. Statistical Analysis: Influence of socioeconomic variables on mental well-being of the people was estimated through multivariate logistic regression methods. For different combinations of risk factors, five models were developed based on unstandardized likelihood coefficients. Results: Poor mental health was significantly higher among single/widow/divorced/separated (odds ratio [OR] =0.76, P < 0.01), unskilled (OR = 2.26, P < 0.01), daily wager (OR = 2.57, P < 0.01), and illiterate (OR = 2.55, P < 0.01). Longer year of immigration, younger age, and higher income level ( P < 0.001) were positively related to mental health. Poor housing conditions ( P < 0.001), adjustment problem ( P < 0.001), and feeling insecure ( P < 0.01) were independent predictors of poor mental health. Conclusion: Socioeconomic and environmental problem caused by the migrants and faced by the migrants is required in-depth study to formulate comprehensive policies.

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Available abstract

Background: Rural to urban migration has become a salient feature of the country. However, there is a dearth of study highlighting impact of this movement on mental health of the migrant people. Aims: The main objective of the present study was to examine the relationship between specific components of social environment and psychological well-being of migrants in an urban center. Settings and Design: The National Capital Territory of Delhi was selected for intensive study and has an exploratory design supported by cross-sectional primary data. Methodology: A standardized questionnaire was used to obtain data about the socioeconomic characteristics of the respondents. For measuring the mental well-being, the World Health Organization Well-Being Index (WHO5) was used. The required information was procured through interview method from 1230 sampled respondents. Statistical Analysis: Influence of socioeconomic variables on mental well-being of the people was estimated through multivariate logistic regression methods. For different combinations of risk factors, five models were developed based on unstandardized likelihood coefficients. Results: Poor mental health was significantly higher among single/widow/divorced/separated (odds ratio [OR] =0.76, P < 0.01), unskilled (OR = 2.26, P < 0.01), daily wager (OR = 2.57, P < 0.01), and illiterate (OR = 2.55, P < 0.01). Longer year of immigration, younger age, and higher income level ( P < 0.001) were positively related to mental health. Poor housing conditions ( P < 0.001), adjustment problem ( P < 0.001), and feeling insecure ( P < 0.01) were independent predictors of poor mental health. Conclusion: Socioeconomic and environmental problem caused by the migrants and faced by the migrants is required in-depth study to formulate comprehensive policies.

Key concepts: Socioeconomic status, Mental health, Psychology, Logistic regression, Demography, Poverty, Odds ratio, Gerontology

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