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@article{Katsoulis:2021:10.1016/S2213-8587(21)00207-2,
author = {Katsoulis, M and Lai, AG and Diaz-Ordaz, K and Gomes, M and Pasea, L and Banerjee, A and Denaxas, S and Tsilidis, K and Lagiou, P and Misirli, G and Bhaskaran, K and Wannamethee, G and Dobson, R and Batterham, RL and Kipourou, D-K and Lumbers, RT and Wen, L and Wareham, N and Langenberg, C and Hemingway, H},
doi = {10.1016/S2213-8587(21)00207-2},
journal = {The Lancet Diabetes and Endocrinology},
pages = {681--694},
title = {Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records},
url = {http://dx.doi.org/10.1016/S2213-8587(21)00207-2},
volume = {9},
year = {2021}
}

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TY  - JOUR
AB  - BACKGROUND: Targeted obesity prevention policies would benefit from the identification of population groups with the highest risk of weight gain. The relative importance of adult age, sex, ethnicity, geographical region, and degree of social deprivation on weight gain is not known. We aimed to identify high-risk groups for changes in weight and BMI using electronic health records (EHR). METHODS: In this longitudinal, population-based cohort study we used linked EHR data from 400 primary care practices (via the Clinical Practice Research Datalink) in England, accessed via the CALIBER programme. Eligible participants were aged 18-74 years, were registered at a general practice clinic, and had BMI and weight measurements recorded between Jan 1, 1998, and June 30, 2016, during the period when they had eligible linked data with at least 1 year of follow-up time. We calculated longitudinal changes in BMI over 1, 5, and 10 years, and investigated the absolute risk and odds ratios (ORs) of transitioning between BMI categories (underweight, normal weight, overweight, obesity class 1 and 2, and severe obesity [class 3]), as defined by WHO. The associations of demographic factors with BMI transitions were estimated by use of logistic regression analysis, adjusting for baseline BMI, family history of cardiovascular disease, use of diuretics, and prevalent chronic conditions. FINDINGS: We included 2 092 260 eligible individuals with more than 9 million BMI measurements in our study. Young adult age was the strongest risk factor for weight gain at 1, 5, and 10 years of follow-up. Compared with the oldest age group (65-74 years), adults in the youngest age group (18-24 years) had the highest OR (4·22 [95% CI 3·86-4·62]) and greatest absolute risk (37% vs 24%) of transitioning from normal weight to overweight or obesity at 10 years. Likewise, adults in the youngest age group with overweight or obesity at baseline were also at highest risk to transition to a hig
AU  - Katsoulis,M
AU  - Lai,AG
AU  - Diaz-Ordaz,K
AU  - Gomes,M
AU  - Pasea,L
AU  - Banerjee,A
AU  - Denaxas,S
AU  - Tsilidis,K
AU  - Lagiou,P
AU  - Misirli,G
AU  - Bhaskaran,K
AU  - Wannamethee,G
AU  - Dobson,R
AU  - Batterham,RL
AU  - Kipourou,D-K
AU  - Lumbers,RT
AU  - Wen,L
AU  - Wareham,N
AU  - Langenberg,C
AU  - Hemingway,H
DO  - 10.1016/S2213-8587(21)00207-2
EP  - 694
PY  - 2021///
SN  - 2213-8595
SP  - 681
TI  - Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records
T2  - The Lancet Diabetes and Endocrinology
UR  - http://dx.doi.org/10.1016/S2213-8587(21)00207-2
UR  - https://www.ncbi.nlm.nih.gov/pubmed/34481555
UR  - http://hdl.handle.net/10044/1/92334
VL  - 9
ER  -

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