The impact of hypothetical interventions on adiposity in adolescence

Abstract In order to develop effective public health initiatives aimed at promoting healthy weight development, identifying the interventions/combination of interventions with the highest beneficial effect on body weight is vital. The study aimed to estimate the mean BMI at age 13 under hypothetical...

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Autores principales:	Mekdes K. Gebremariam, Roch A. Nianogo, Nanna Lien, Mona Bjelland, Knut-Inge Klepp, Ingunn H. Bergh, Yngvar Ommundsen, Onyebuchi A. Arah
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/741c38c09d48485fb8b89621bb97eb23
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spelling	oai:doaj.org-article:741c38c09d48485fb8b89621bb97eb232021-12-02T14:49:11ZThe impact of hypothetical interventions on adiposity in adolescence10.1038/s41598-021-90415-z2045-2322https://doaj.org/article/741c38c09d48485fb8b89621bb97eb232021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90415-zhttps://doaj.org/toc/2045-2322Abstract In order to develop effective public health initiatives aimed at promoting healthy weight development, identifying the interventions/combination of interventions with the highest beneficial effect on body weight is vital. The study aimed to estimate the mean BMI at age 13 under hypothetical interventions targeting dietary behavior, physical activity and screen time at age 11. We used data from a school-based cohort study of 530 participants followed between the ages of 11 and 13. We used g-computation, a causal modeling method, to estimate the impact of single and combined hypothetical behavioral interventions at age 11 on BMI at age 13. Of the hypothetical interventions, the one with the largest population mean difference in BMI was the one combining all interventions (dietary behavior, physical activity and screen time interventions) and assuming 100% intervention adherence, with a population mean differences of − 0.28 (95% CI − 0.59, 0.07). Isolated behavioral interventions had a limited impact on BMI. This study demonstrated that a combination of healthy dietary behavior and physical activity promotion, as well as screen time reduction interventions at age 11 could have the highest beneficial effect on the reduction of BMI at age 13, although the change in BMI was small. The findings highlight the importance of a systems approach to obesity prevention focusing on multicomponent interventions.Mekdes K. GebremariamRoch A. NianogoNanna LienMona BjellandKnut-Inge KleppIngunn H. BerghYngvar OmmundsenOnyebuchi A. ArahNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mekdes K. Gebremariam Roch A. Nianogo Nanna Lien Mona Bjelland Knut-Inge Klepp Ingunn H. Bergh Yngvar Ommundsen Onyebuchi A. Arah The impact of hypothetical interventions on adiposity in adolescence
description	Abstract In order to develop effective public health initiatives aimed at promoting healthy weight development, identifying the interventions/combination of interventions with the highest beneficial effect on body weight is vital. The study aimed to estimate the mean BMI at age 13 under hypothetical interventions targeting dietary behavior, physical activity and screen time at age 11. We used data from a school-based cohort study of 530 participants followed between the ages of 11 and 13. We used g-computation, a causal modeling method, to estimate the impact of single and combined hypothetical behavioral interventions at age 11 on BMI at age 13. Of the hypothetical interventions, the one with the largest population mean difference in BMI was the one combining all interventions (dietary behavior, physical activity and screen time interventions) and assuming 100% intervention adherence, with a population mean differences of − 0.28 (95% CI − 0.59, 0.07). Isolated behavioral interventions had a limited impact on BMI. This study demonstrated that a combination of healthy dietary behavior and physical activity promotion, as well as screen time reduction interventions at age 11 could have the highest beneficial effect on the reduction of BMI at age 13, although the change in BMI was small. The findings highlight the importance of a systems approach to obesity prevention focusing on multicomponent interventions.
format	article
author	Mekdes K. Gebremariam Roch A. Nianogo Nanna Lien Mona Bjelland Knut-Inge Klepp Ingunn H. Bergh Yngvar Ommundsen Onyebuchi A. Arah
author_facet	Mekdes K. Gebremariam Roch A. Nianogo Nanna Lien Mona Bjelland Knut-Inge Klepp Ingunn H. Bergh Yngvar Ommundsen Onyebuchi A. Arah
author_sort	Mekdes K. Gebremariam
title	The impact of hypothetical interventions on adiposity in adolescence
title_short	The impact of hypothetical interventions on adiposity in adolescence
title_full	The impact of hypothetical interventions on adiposity in adolescence
title_fullStr	The impact of hypothetical interventions on adiposity in adolescence
title_full_unstemmed	The impact of hypothetical interventions on adiposity in adolescence
title_sort	impact of hypothetical interventions on adiposity in adolescence
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/741c38c09d48485fb8b89621bb97eb23
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The impact of hypothetical interventions on adiposity in adolescence

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