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Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models
BACKGROUND: Overweight and obesity are one of the most significant risk factors of the twenty-first century related to an increased risk in the occurrence of non-communicable diseases and associated increased healthcare costs. To estimate the future impact of overweight, the current study aimed to p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263047/ https://www.ncbi.nlm.nih.gov/pubmed/35799159 http://dx.doi.org/10.1186/s12889-022-13685-w |
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author | De Pauw, Robby Claessens, Manu Gorasso, Vanessa Drieskens, Sabine Faes, Christel Devleesschauwer, Brecht |
author_facet | De Pauw, Robby Claessens, Manu Gorasso, Vanessa Drieskens, Sabine Faes, Christel Devleesschauwer, Brecht |
author_sort | De Pauw, Robby |
collection | PubMed |
description | BACKGROUND: Overweight and obesity are one of the most significant risk factors of the twenty-first century related to an increased risk in the occurrence of non-communicable diseases and associated increased healthcare costs. To estimate the future impact of overweight, the current study aimed to project the prevalence of overweight and obesity to the year 2030 in Belgium using a Bayesian age-period-cohort (APC) model, supporting policy planning. METHODS: Height and weight of 58,369 adults aged 18+ years, collected in six consecutive cross-sectional health interview surveys between 1997 and 2018, were evaluated. Criteria used for overweight and obesity were defined as body mass index (BMI) ≥ 25, and BMI ≥ 30. Past trends and projections were estimated with a Bayesian hierarchical APC model. RESULTS: The prevalence of overweight and obesity has increased between 1997 and 2018 in both men and women, whereby the highest prevalence was observed in the middle-aged group. It is likely that a further increase in the prevalence of obesity will be seen by 2030 with a probability of 84.1% for an increase in cases among men and 56.0% for an increase in cases among women. For overweight, it is likely to see an increase in cases in women (57.4%), while a steady state in cases among men is likely. A prevalence of 52.3% [21.2%; 83.2%] for overweight, and 27.6% [9.9%; 57.4%] for obesity will likely be achieved in 2030 among men. Among women, a prevalence of 49,1% [7,3%; 90,9%] for overweight, and 17,2% [2,5%; 61,8%] for obesity is most likely. CONCLUSIONS: Our projections show that the WHO target to halt obesity by 2025 will most likely not be achieved. There is an urgent necessity for policy makers to implement effective prevent policies and other strategies in people who are at risk for developing overweight and/or obesity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13685-w. |
format | Online Article Text |
id | pubmed-9263047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92630472022-07-08 Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models De Pauw, Robby Claessens, Manu Gorasso, Vanessa Drieskens, Sabine Faes, Christel Devleesschauwer, Brecht BMC Public Health Research BACKGROUND: Overweight and obesity are one of the most significant risk factors of the twenty-first century related to an increased risk in the occurrence of non-communicable diseases and associated increased healthcare costs. To estimate the future impact of overweight, the current study aimed to project the prevalence of overweight and obesity to the year 2030 in Belgium using a Bayesian age-period-cohort (APC) model, supporting policy planning. METHODS: Height and weight of 58,369 adults aged 18+ years, collected in six consecutive cross-sectional health interview surveys between 1997 and 2018, were evaluated. Criteria used for overweight and obesity were defined as body mass index (BMI) ≥ 25, and BMI ≥ 30. Past trends and projections were estimated with a Bayesian hierarchical APC model. RESULTS: The prevalence of overweight and obesity has increased between 1997 and 2018 in both men and women, whereby the highest prevalence was observed in the middle-aged group. It is likely that a further increase in the prevalence of obesity will be seen by 2030 with a probability of 84.1% for an increase in cases among men and 56.0% for an increase in cases among women. For overweight, it is likely to see an increase in cases in women (57.4%), while a steady state in cases among men is likely. A prevalence of 52.3% [21.2%; 83.2%] for overweight, and 27.6% [9.9%; 57.4%] for obesity will likely be achieved in 2030 among men. Among women, a prevalence of 49,1% [7,3%; 90,9%] for overweight, and 17,2% [2,5%; 61,8%] for obesity is most likely. CONCLUSIONS: Our projections show that the WHO target to halt obesity by 2025 will most likely not be achieved. There is an urgent necessity for policy makers to implement effective prevent policies and other strategies in people who are at risk for developing overweight and/or obesity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13685-w. BioMed Central 2022-07-07 /pmc/articles/PMC9263047/ /pubmed/35799159 http://dx.doi.org/10.1186/s12889-022-13685-w 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 De Pauw, Robby Claessens, Manu Gorasso, Vanessa Drieskens, Sabine Faes, Christel Devleesschauwer, Brecht Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models |
title | Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models |
title_full | Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models |
title_fullStr | Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models |
title_full_unstemmed | Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models |
title_short | Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models |
title_sort | past, present, and future trends of overweight and obesity in belgium using bayesian age-period-cohort models |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263047/ https://www.ncbi.nlm.nih.gov/pubmed/35799159 http://dx.doi.org/10.1186/s12889-022-13685-w |
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