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Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults
BACKGROUND: Obesity and unemployment are complex social and health issues with underlying causes that are interconnected. While a clear link has been established, there is lack of evidence on the underlying causal pathways and how health-related interventions could reduce obesity and unemployment us...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668709/ https://www.ncbi.nlm.nih.gov/pubmed/36384500 http://dx.doi.org/10.1186/s12889-022-14518-6 |
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author | Amenyah, Sophia D. Waters, Diane Tang, Wen Fenge, Lee-Ann Murphy, Jane L. |
author_facet | Amenyah, Sophia D. Waters, Diane Tang, Wen Fenge, Lee-Ann Murphy, Jane L. |
author_sort | Amenyah, Sophia D. |
collection | PubMed |
description | BACKGROUND: Obesity and unemployment are complex social and health issues with underlying causes that are interconnected. While a clear link has been established, there is lack of evidence on the underlying causal pathways and how health-related interventions could reduce obesity and unemployment using a holistic approach. OBJECTIVES: The aim of this realist synthesis was to identify the common strategies used by health-related interventions to reduce obesity, overweight and unemployment and to determine for whom and under what circumstances these interventions were successful or unsuccessful and why. METHODS: A realist synthesis approach was used. Systematic literature searches were conducted in Cochrane library, Medline, SocIndex, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, and PsychInfo. The evidence from included studies were synthesised into Context-Mechanism-Outcome configurations (CMOcs) to better understand when and how programmes work, for which participants and to refine the final programme theory. RESULTS: A total of 83 articles met the inclusion criteria. 8 CMOcs elucidating the contexts of the health-related interventions, underlying mechanisms and outcomes were identified. Interventions that were tailored to the target population using multiple strategies, addressing different aspects of individual and external environments led to positive outcomes for reemployment and reduction of obesity. CONCLUSION: This realist synthesis presents a broad array of contexts, mechanisms underlying the success of health-related interventions to reduce obesity and unemployment. It provides novel insights and key factors that influence the success of such interventions and highlights a need for participatory and holistic approaches to maximise the effectiveness of programmes designed to reduce obesity and unemployment. TRIAL REGISTRATION: PROSPERO 2020 CRD42020219897. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14518-6. |
format | Online Article Text |
id | pubmed-9668709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96687092022-11-18 Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults Amenyah, Sophia D. Waters, Diane Tang, Wen Fenge, Lee-Ann Murphy, Jane L. BMC Public Health Research BACKGROUND: Obesity and unemployment are complex social and health issues with underlying causes that are interconnected. While a clear link has been established, there is lack of evidence on the underlying causal pathways and how health-related interventions could reduce obesity and unemployment using a holistic approach. OBJECTIVES: The aim of this realist synthesis was to identify the common strategies used by health-related interventions to reduce obesity, overweight and unemployment and to determine for whom and under what circumstances these interventions were successful or unsuccessful and why. METHODS: A realist synthesis approach was used. Systematic literature searches were conducted in Cochrane library, Medline, SocIndex, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, and PsychInfo. The evidence from included studies were synthesised into Context-Mechanism-Outcome configurations (CMOcs) to better understand when and how programmes work, for which participants and to refine the final programme theory. RESULTS: A total of 83 articles met the inclusion criteria. 8 CMOcs elucidating the contexts of the health-related interventions, underlying mechanisms and outcomes were identified. Interventions that were tailored to the target population using multiple strategies, addressing different aspects of individual and external environments led to positive outcomes for reemployment and reduction of obesity. CONCLUSION: This realist synthesis presents a broad array of contexts, mechanisms underlying the success of health-related interventions to reduce obesity and unemployment. It provides novel insights and key factors that influence the success of such interventions and highlights a need for participatory and holistic approaches to maximise the effectiveness of programmes designed to reduce obesity and unemployment. TRIAL REGISTRATION: PROSPERO 2020 CRD42020219897. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14518-6. BioMed Central 2022-11-17 /pmc/articles/PMC9668709/ /pubmed/36384500 http://dx.doi.org/10.1186/s12889-022-14518-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Amenyah, Sophia D. Waters, Diane Tang, Wen Fenge, Lee-Ann Murphy, Jane L. Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults |
title | Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults |
title_full | Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults |
title_fullStr | Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults |
title_full_unstemmed | Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults |
title_short | Systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults |
title_sort | systematic realist synthesis of health-related and lifestyle interventions designed to decrease overweight, obesity and unemployment in adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668709/ https://www.ncbi.nlm.nih.gov/pubmed/36384500 http://dx.doi.org/10.1186/s12889-022-14518-6 |
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