The impact of hypothetical interventions on adiposity in adolescence.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
27 05 2021
Historique:
received: 16 06 2020
accepted: 29 04 2021
entrez: 28 5 2021
pubmed: 29 5 2021
medline: 5 11 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34045506
doi: 10.1038/s41598-021-90415-z
pii: 10.1038/s41598-021-90415-z
pmc: PMC8160144
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

11216

Subventions

Organisme : NICHD NIH HHS
ID : P2C HD041022
Pays : United States

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Auteurs

Mekdes K Gebremariam (MK)

Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway. mekdes.gebremariam@medisin.uio.no.

Roch A Nianogo (RA)

Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.

Nanna Lien (N)

Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway.

Mona Bjelland (M)

Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway.

Knut-Inge Klepp (KI)

Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway.
Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.

Ingunn H Bergh (IH)

Department of Health and Inequality, Norwegian Institute of Public Health, Oslo, Norway.

Yngvar Ommundsen (Y)

Department of Coaching and Psychology, Norwegian School of Sport Sciences, Oslo, Norway.

Onyebuchi A Arah (OA)

Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
Department of Statistics, UCLA College of Letters and Science, Los Angeles, CA, USA.
California Center for Population Research, UCLA, Los Angeles, CA, USA.

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