Estimating BMI distributions by age and sex for local authorities in England: a small area estimation study

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Amies-Cull, Ben
Wolstenholme, Jane
Cobiac, Linda
Scarborough, Peter
Griffith University Author(s)
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2022
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Abstract

Objectives Rates of overweight and obesity vary across England, but local rates have not been estimated for over 10 years. We aimed to produce new small area estimates of body mass index (BMI) by age and sex for each lower tier and unitary local authority in England, to provide up-to-date and more detailed estimates for the use of policy-makers and academics working in non-communicable disease risk and health inequalities. Design We used generalised linear modelling to estimate the relationship between BMI with social/demographic markers in a cross-sectional survey, then used this model to impute a BMI for each adult in locally-representative populations. These groups were then disaggregated by 5-year age group, sex and local authority group. Setting The Health Survey for England 2018 (cross-sectional BMI data for England) and Census microdata 2011 (locally representative). Participants A total of 6174 complete cases aged 16 and over were included. Outcome measures Modelled group-level BMI as mean and SD of log-BMI. Extensive internal validation was performed, against the original data and external validation against the National Diet and Nutrition Survey and Active Lives Survey and previous small area estimates. Results In 94% of age-sex are groups, mean BMI was in the overweight or obese ranges. Older and more deprived areas had the highest overweight and obesity rates, which were particularly in coastal areas, the West Midlands, Yorkshire and the Humber. Validation showed close concordance with previous estimates by local area and demographic groups. Conclusion This work updated previous estimates of the distribution of BMI in England and contributes considerable additional detail to our understanding of the local epidemiology of overweight and obesity. Raised BMI now affects the vast majority of demographic groups by age, sex and area in England, regardless of geography or deprivation.

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BMJ Open

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12

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6

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© Author(s) (or their employer(s)) 2022. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Epidemiology

Biomedical and clinical sciences

Health sciences

Psychology

Science & Technology

Life Sciences & Biomedicine

Medicine, General & Internal

General & Internal Medicine

EPIDEMIOLOGY

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Amies-Cull, B; Wolstenholme, J; Cobiac, L; Scarborough, P, Estimating BMI distributions by age and sex for local authorities in England: a small area estimation study, BMJ Open, 2022, 12 (6), pp. e060892

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