TY - JOUR
PY - 2021//
TI - A comparison of models with weight, height, and BMI as predictors of mortality
JO - Obes Sci Pract
A1 - Sorjonen, K.
A1 - Nilsonne, G.
A1 - Falkstedt, D.
A1 - Hemmingsson, T.
A1 - Melin, B.
A1 - Ingre, M.
SP - 168
EP - 175
VL - 7
IS - 2
N2 - INTRODUCTION: Body mass index (BMI) is a composite variable of weight and height, often used as a predictor of health outcomes, including mortality. The main purpose of combining weight and height in one variable is to obtain a measure of obesity independent of height. It is however unclear how accurate BMI is as a predictor of mortality compared with models including both weight and height or a weight × height interaction as predictors.
METHODS: The current study used conscription data on weight, height, and BMI of Swedish men (N = 48,904) in 1969/70 as well as linked data on mortality (3442 deaths) between 1969 and 2008. Cox proportional hazard models including combinations of weight, height, and BMI at conscription as predictors of subsequent all-cause and cause-specific mortality were fitted to data.
RESULTS: An increase by one standard deviation on weight and BMI were associated with an increase in hazard for all-cause mortality by 5.4% and 11.5%, respectively, while an increase by one standard deviation on height was associated with a decrease in hazard for all-cause mortality by 9.4%. The best-fitting model indicated lowest predicted all-cause mortality for those who weighed 60.5 kg at conscription, regardless of height. Further analyses of cause-specific mortality suggest that this weight seems to be a compromise between lower optimal weights to avoid cancer and CVD mortality and a higher optimal weight to not die by suicide.
CONCLUSIONS: According to the present findings, there are several ways to make better use of measured weight and height than to calculate BMI when predicting mortality. © 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.
Language: en
LA - en SN - 2055-2238 UR - http://dx.doi.org/10.1002/osp4.473 ID - ref1 ER -