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Dataset Information

Past, present, and future trends of overweight and obesity in Belgium using Bayesian age-period-cohort models.


ABSTRACT:

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 hierarch

SUBMITTER: De Pauw R 

PROVIDER: S-EPMC9263047 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature