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Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa

INTRODUCTION: The Short Form Survey 12-item (SF12) mental and physical health version has been applied in several studies on populations from Sub-Saharan Africa. However, the SF12 has not been computed and validated for these populations. We address in this paper these gaps in the literature and use...

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Autores principales: Ohrnberger, Julius, Anselmi, Laura, Fichera, Eleonora, Sutton, Matt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081543/
https://www.ncbi.nlm.nih.gov/pubmed/32188461
http://dx.doi.org/10.1186/s12955-020-01323-1
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author Ohrnberger, Julius
Anselmi, Laura
Fichera, Eleonora
Sutton, Matt
author_facet Ohrnberger, Julius
Anselmi, Laura
Fichera, Eleonora
Sutton, Matt
author_sort Ohrnberger, Julius
collection PubMed
description INTRODUCTION: The Short Form Survey 12-item (SF12) mental and physical health version has been applied in several studies on populations from Sub-Saharan Africa. However, the SF12 has not been computed and validated for these populations. We address in this paper these gaps in the literature and use a health intervention example in Malawi to show the importance of our analysis for health policy. METHODS: We firstly compute the weights of the SF12 physical and mental health measure for the Malawian population using principal component analysis on a sample of 2838 adults from wave four (2006) of Malawian Longitudinal Study of Aging (MLSFH). We secondly test the construct validity of our computed and the US-population weighted SF12 measures using regression analysis and Fixed Effect estimation on waves four, seven (2012) and eight (2013) of the MLSFH. Finally, we use a Malawian cash transfer programme to exemplify the implications of using US- and Malawi-weighted SF12 mental health measures in policy evaluation. RESULTS: We find that the Malawian SF12 health measure weighted by our computed Malawian population weights is strongly associated with other mental health measures (Depression:-0.501, p = < 0.001; Anxiety:-1.755; p = < 0.001) and shows better construct validity in comparison to the US-weighted SF12 mental health component (rs = 0.675 versus rs = 0.495). None of the SF12 measures shows strong associations with other measures of physical health. The estimated average effect of the cash transfer is significant when using the Malawi-weighted SF12 mental health measure (treatment effect: 1.124; p = < 0.1), but not when using the US-weighted counterpart (treatment effect: 1.129; p > 0.1). The weightings affect the size of the impacts across mental health quantiles suggesting that the weighting scheme matters for empirical health policy analysis. CONCLUSION: Mental health shows more pronounced associations with the physical health dimension in a Low-Income Country like Malawi compared to the US. This is important for the construct validity of the SF12 health measures and has strong implications in health policy analysis. Further analysis is required for the physical health dimension of the SF12.
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spelling pubmed-70815432020-03-23 Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa Ohrnberger, Julius Anselmi, Laura Fichera, Eleonora Sutton, Matt Health Qual Life Outcomes Research INTRODUCTION: The Short Form Survey 12-item (SF12) mental and physical health version has been applied in several studies on populations from Sub-Saharan Africa. However, the SF12 has not been computed and validated for these populations. We address in this paper these gaps in the literature and use a health intervention example in Malawi to show the importance of our analysis for health policy. METHODS: We firstly compute the weights of the SF12 physical and mental health measure for the Malawian population using principal component analysis on a sample of 2838 adults from wave four (2006) of Malawian Longitudinal Study of Aging (MLSFH). We secondly test the construct validity of our computed and the US-population weighted SF12 measures using regression analysis and Fixed Effect estimation on waves four, seven (2012) and eight (2013) of the MLSFH. Finally, we use a Malawian cash transfer programme to exemplify the implications of using US- and Malawi-weighted SF12 mental health measures in policy evaluation. RESULTS: We find that the Malawian SF12 health measure weighted by our computed Malawian population weights is strongly associated with other mental health measures (Depression:-0.501, p = < 0.001; Anxiety:-1.755; p = < 0.001) and shows better construct validity in comparison to the US-weighted SF12 mental health component (rs = 0.675 versus rs = 0.495). None of the SF12 measures shows strong associations with other measures of physical health. The estimated average effect of the cash transfer is significant when using the Malawi-weighted SF12 mental health measure (treatment effect: 1.124; p = < 0.1), but not when using the US-weighted counterpart (treatment effect: 1.129; p > 0.1). The weightings affect the size of the impacts across mental health quantiles suggesting that the weighting scheme matters for empirical health policy analysis. CONCLUSION: Mental health shows more pronounced associations with the physical health dimension in a Low-Income Country like Malawi compared to the US. This is important for the construct validity of the SF12 health measures and has strong implications in health policy analysis. Further analysis is required for the physical health dimension of the SF12. BioMed Central 2020-03-18 /pmc/articles/PMC7081543/ /pubmed/32188461 http://dx.doi.org/10.1186/s12955-020-01323-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ohrnberger, Julius
Anselmi, Laura
Fichera, Eleonora
Sutton, Matt
Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa
title Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa
title_full Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa
title_fullStr Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa
title_full_unstemmed Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa
title_short Validation of the SF12 mental and physical health measure for the population from a low-income country in sub-Saharan Africa
title_sort validation of the sf12 mental and physical health measure for the population from a low-income country in sub-saharan africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081543/
https://www.ncbi.nlm.nih.gov/pubmed/32188461
http://dx.doi.org/10.1186/s12955-020-01323-1
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