Waist, waist-height-ratio vs body mass index and the risks of multiple diseases: a cohort study with replication
Ho, F.; Pentti, J. E.; Kivimaki, M.; Sattar, N.
Show abstract
ImportanceBody mass index (BMI) is widely used to assess obesity-related health risks, but waist circumference (WC) and waist-to-height ratio (WHtR) are thought to better capture central adiposity and associated disease risk. ObjectiveTo compare the associations of BMI, WC, and WHtR with the risk of 78 incident conditions, multiple long-term conditions (MLTCs), and mortality, and to evaluate whether waist-based measures improve risk identification over BMI and, if so, over which BMI range. Design, Setting, and ParticipantsThis cohort study analyzed data from 495,911 adults in the UK Biobank with a mean follow-up of 13.7 years. Findings were replicated in the Whitehall II study (n = 7,973; mean follow-up, 28.6 years). ExposuresObesity defined by BMI, WC, and WHtR. Main Outcomes and MeasuresAssociations of each adiposity measure with 78 incident conditions, MLTCs, and mortality were assessed using Cox proportional hazards models. Population attributable fractions (PAFs) were calculated to estimate the proportion of outcomes attributable to obesity defined by each measure. ResultsObesity defined by BMI, WC, or WHtR was associated with increased risk for most outcomes. WHtR-defined obesity generally showed the strongest associations, followed by WC and BMI, with some exceptions (e.g., osteoarthritis). However, PAFs for MLTCs for WC and WHtR were <1% percentage points higher than for BMI. Notably, meaningful gains in PAFs were observed only among individuals with BMI between 25.0 and 29.9. These findings were replicated in the Whitehall II cohort. Conclusions and RelevanceReplacing BMI with waist-based measures did not meaningfully improve risk identification for MLTCs in the general population when BMI was [≥]30. However, waist-based measures may offer additional predictive value among individuals with BMI <30. Key PointsO_ST_ABSQuestionC_ST_ABSDo waist-based measures (waist circumference [WC] and waist-to-height ratio [WHtR]) explain the risk of multiple long-term conditions (MLTCs) and mortality better than body mass index (BMI), and if so, in which BMI ranges? FindingsIn two cohort studies of nearly 500,000 UK adults, WHtR and WC were generally more strongly associated with incident conditions, MLTCs, and mortality than BMI. However, the improvement was modest overall and primarily evident in individuals with BMI between 25.0 and 29.9. MeaningWaist-based measures may have a stronger association over BMI in individuals with overweight (BMI <30), but the difference was marginal and non-significant in those with a BMI [≥]30.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Trends in weight gain recorded in English primary care before and during the Coronavirus-19 pandemic: an observational cohort study using the OpenSAFELY platform 96%
- Sex-specific associations of adiposity with cardiometabolic traits: multi-life-stage cohort study with repeat metabolomics 94%
- Differential impact of Covid-19 on incidence of diabetes mellitus and cardiovascular diseases in acute, post-acute and long Covid-19: population-based cohort study in the United Kingdom 92%
Similar papers in this journal
Similar papers in this journal
- Predictive value of circulating NMR metabolic biomarkers for type 2 diabetes risk in the UK Biobank study 94%
- Meat consumption and risk of 25 common conditions: outcome-wide analyses in 475,000 men and women in the UK Biobank study 93%
- Maternal smoking during pregnancy and type 1 diabetes in the offspring: A nationwide register-based study with family-based designs 92%
Similar papers in this journal
- Lack of evidence for obesity paradox in patients with cardiovascular diseases: A UK BioBank cohort study 94%
- Proteomic associations with fluctuation and long-term changes in BMI: A 40-year follow-up study 92%
- Clinical Characteristics Of Users Of Weight Loss Drugs: Population-Based Case-Control Study 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.