ArticleObesity science & practice2021
A comparison of models with weight, height, and BMI as predictors of mortality.
Article in Obesity science & practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Shock index, modified shock index, and age-adjusted shock index for the prediction of impaired myocardial work in patients with ST-segment elevation myocardial infarction.Quantitative imaging in medicine and surgery · 2025Article
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6 authors.
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Abstract
introductionBody 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.
methodsThe current study used conscription data on weight, height, and BMI of Swedish men (
resultsAn 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.
conclusionsAccording to the present findings, there are several ways to make better use of measured weight and height than to calculate BMI when predicting mortality.
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