Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics Study
The literature associates migration with poor mental health outcomes. Despite extensive empirical research in other countries, there is a paucity of research examining the mental health consequences of migration in South Africa, and the factors that compound the relationship between the two variabl...
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| Format: | Article |
| Language: | English |
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University of the Western Cape
2021-05-01
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| Series: | African Human Mobility Review |
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| Online Access: | https://epubs.ac.za/index.php/ahmr/article/view/915 |
| _version_ | 1811250361748422656 |
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| author | Hemish Govera |
| author_facet | Hemish Govera |
| author_sort | Hemish Govera |
| collection | DOAJ |
| description |
The literature associates migration with poor mental health outcomes. Despite extensive
empirical research in other countries, there is a paucity of research examining the
mental health consequences of migration in South Africa, and the factors that compound
the relationship between the two variables. The study objective was to evaluate
the differences in the mental health status of internal migrants and that of non-migrants
in South Africa with a special focus on depressive symptoms. The study considered
the influence of various vulnerability and sociodemographic factors such as
gender, age, educational attainment, race, income group, marital status and province
of residence. Mental health disorders are already considered the largest contributor to
the global disease burden. Hence, understanding the nature of the relationship between
migration and mental health is critical for public health prevention efforts. To make
the determination, the study applied descriptive analysis and logistic modelling based
on the South African National Income Dynamics Study (NIDS) panel datasets of 2008,
2010, 2014/15 and 2017. Descriptive statistics were employed to derive the frequency
distribution of sociodemographic characteristics and migration factors. Logistic regression
analysis was used to assess the associations between depression, migration
and sociodemographic factors.
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| first_indexed | 2024-04-12T16:02:38Z |
| format | Article |
| id | doaj.art-b10e92e2e4904a09953c7c2421489dc4 |
| institution | Directory Open Access Journal |
| issn | 2411-6955 2410-7972 |
| language | English |
| last_indexed | 2024-04-12T16:02:38Z |
| publishDate | 2021-05-01 |
| publisher | University of the Western Cape |
| record_format | Article |
| series | African Human Mobility Review |
| spelling | doaj.art-b10e92e2e4904a09953c7c2421489dc42022-12-22T03:26:09ZengUniversity of the Western CapeAfrican Human Mobility Review2411-69552410-79722021-05-016310.14426/ahmr.v6i3.915915Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics StudyHemish Govera0University of the Western Cape The literature associates migration with poor mental health outcomes. Despite extensive empirical research in other countries, there is a paucity of research examining the mental health consequences of migration in South Africa, and the factors that compound the relationship between the two variables. The study objective was to evaluate the differences in the mental health status of internal migrants and that of non-migrants in South Africa with a special focus on depressive symptoms. The study considered the influence of various vulnerability and sociodemographic factors such as gender, age, educational attainment, race, income group, marital status and province of residence. Mental health disorders are already considered the largest contributor to the global disease burden. Hence, understanding the nature of the relationship between migration and mental health is critical for public health prevention efforts. To make the determination, the study applied descriptive analysis and logistic modelling based on the South African National Income Dynamics Study (NIDS) panel datasets of 2008, 2010, 2014/15 and 2017. Descriptive statistics were employed to derive the frequency distribution of sociodemographic characteristics and migration factors. Logistic regression analysis was used to assess the associations between depression, migration and sociodemographic factors. https://epubs.ac.za/index.php/ahmr/article/view/915MigrationAcculturationGenderDepressionSociodemographic factorsSouth Africa |
| spellingShingle | Hemish Govera Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics Study African Human Mobility Review Migration Acculturation Gender Depression Sociodemographic factors South Africa |
| title | Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics Study |
| title_full | Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics Study |
| title_fullStr | Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics Study |
| title_full_unstemmed | Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics Study |
| title_short | Differences in Mental Health among Migrants and Non-migrants in South Africa: Evidence from the National Income Dynamics Study |
| title_sort | differences in mental health among migrants and non migrants in south africa evidence from the national income dynamics study |
| topic | Migration Acculturation Gender Depression Sociodemographic factors South Africa |
| url | https://epubs.ac.za/index.php/ahmr/article/view/915 |
| work_keys_str_mv | AT hemishgovera differencesinmentalhealthamongmigrantsandnonmigrantsinsouthafricaevidencefromthenationalincomedynamicsstudy |