Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata
Background Previous methods for assessing mediation assume no multiplicative interactions. The inverse odds weighting (IOW) approach has been presented as a method that can be used even when interactions exist. The substantive aim of this study was to assess the indirect effect of education on healt...
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Online Access: | http://dx.doi.org/10.1136/jech-2016-208671 https://syndication.highwire.org/content/doi/10.1136/jech-2016-208671 |
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crjcrbmj:10.1136/jech-2016-208671 2024-06-23T07:57:14+00:00 Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata Sheikh, Mashhood Ahmed Abelsen, Birgit Olsen, Jan Abel Universitetet i Tromsø 2017 http://dx.doi.org/10.1136/jech-2016-208671 https://syndication.highwire.org/content/doi/10.1136/jech-2016-208671 en eng BMJ Journal of Epidemiology and Community Health volume 71, issue 11, page 1037-1045 ISSN 0143-005X 1470-2738 journal-article 2017 crjcrbmj https://doi.org/10.1136/jech-2016-208671 2024-06-13T04:15:38Z Background Previous methods for assessing mediation assume no multiplicative interactions. The inverse odds weighting (IOW) approach has been presented as a method that can be used even when interactions exist. The substantive aim of this study was to assess the indirect effect of education on health and well-being via four indicators of adult socioeconomic status (SES): income, management position, occupational hierarchy position and subjective social status. Methods 8516 men and women from the Tromsø Study (Norway) were followed for 17 years. Education was measured at age 25–74 years, while SES and health and well-being were measured at age 42–91 years. Natural direct and indirect effects (NIE) were estimated using weighted Poisson regression models with IOW. Stata code is provided that makes it easy to assess mediation in any multiple imputed dataset with multiple mediators and interactions. Results Low education was associated with lower SES. Consequently, low SES was associated with being unhealthy and having a low level of well-being. The effect (NIE) of education on health and well-being is mediated by income, management position, occupational hierarchy position and subjective social status. Conclusion This study contributes to the literature on mediation analysis, as well as the literature on the importance of education for health-related quality of life and subjective well-being. The influence of education on health and well-being had different pathways in this Norwegian sample. Article in Journal/Newspaper Tromsø The BMJ Norway Tromsø Journal of Epidemiology and Community Health 71 11 1037 1045 |
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Background Previous methods for assessing mediation assume no multiplicative interactions. The inverse odds weighting (IOW) approach has been presented as a method that can be used even when interactions exist. The substantive aim of this study was to assess the indirect effect of education on health and well-being via four indicators of adult socioeconomic status (SES): income, management position, occupational hierarchy position and subjective social status. Methods 8516 men and women from the Tromsø Study (Norway) were followed for 17 years. Education was measured at age 25–74 years, while SES and health and well-being were measured at age 42–91 years. Natural direct and indirect effects (NIE) were estimated using weighted Poisson regression models with IOW. Stata code is provided that makes it easy to assess mediation in any multiple imputed dataset with multiple mediators and interactions. Results Low education was associated with lower SES. Consequently, low SES was associated with being unhealthy and having a low level of well-being. The effect (NIE) of education on health and well-being is mediated by income, management position, occupational hierarchy position and subjective social status. Conclusion This study contributes to the literature on mediation analysis, as well as the literature on the importance of education for health-related quality of life and subjective well-being. The influence of education on health and well-being had different pathways in this Norwegian sample. |
author2 |
Universitetet i Tromsø |
format |
Article in Journal/Newspaper |
author |
Sheikh, Mashhood Ahmed Abelsen, Birgit Olsen, Jan Abel |
spellingShingle |
Sheikh, Mashhood Ahmed Abelsen, Birgit Olsen, Jan Abel Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata |
author_facet |
Sheikh, Mashhood Ahmed Abelsen, Birgit Olsen, Jan Abel |
author_sort |
Sheikh, Mashhood Ahmed |
title |
Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata |
title_short |
Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata |
title_full |
Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata |
title_fullStr |
Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata |
title_full_unstemmed |
Education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in Stata |
title_sort |
education and health and well-being: direct and indirect effects with multiple mediators and interactions with multiple imputed data in stata |
publisher |
BMJ |
publishDate |
2017 |
url |
http://dx.doi.org/10.1136/jech-2016-208671 https://syndication.highwire.org/content/doi/10.1136/jech-2016-208671 |
geographic |
Norway Tromsø |
geographic_facet |
Norway Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_source |
Journal of Epidemiology and Community Health volume 71, issue 11, page 1037-1045 ISSN 0143-005X 1470-2738 |
op_doi |
https://doi.org/10.1136/jech-2016-208671 |
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Journal of Epidemiology and Community Health |
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71 |
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11 |
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1037 |
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1045 |
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1802650781188358144 |