A multivariate decomposition analysis of drivers of overweight and obesity among Ghanaian women

Mensah, J.P. orcid.org/0009-0001-7664-8458, Akparibo, R. orcid.org/0000-0003-3751-2432, Atuobi-Yeboah, A. orcid.org/0000-0002-1456-1410 et al. (5 more authors) (2026) A multivariate decomposition analysis of drivers of overweight and obesity among Ghanaian women. Communications Medicine. ISSN: 2730-664X

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Item Type: Article
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© The Author(s) 2026. This 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/

Keywords: Epidemiology; Obesity
Dates:
  • Submitted: 23 January 2025
  • Accepted: 8 January 2026
  • Published (online): 15 January 2026
  • Published: 15 January 2026
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research
Funding Information:
Funder
Grant number
Wellcome Trust Ltd
218462/Z/19/Z
Date Deposited: 21 Jan 2026 14:12
Last Modified: 21 Jan 2026 14:12
Status: Published online
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1038/s43856-026-01391-2
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