Fig. 3

Body composition profiles of categories by body-shape phenotype and BMI. ABSI – a body shape index (cut-offs: ≥80 in men; ≥73 in women); Apple – large-ABSI-small-HI; ASAT – abdominal subcutaneous adipose tissue; BMI – body mass index; CI – confidence interval; DXA – dual-emission X-ray absorptiometry measurements; HI – hip index (cut-offs: ≥49 in men; ≥64 in women); MRI – magnetic resonance imaging measurements; NW – normal weight BMI ≥ 18.5 to < 25.0 kg/m²; OB – obese BMI ≥ 30.0 to < 45.0 kg/m²; OW – overweight BMI ≥ 25.0 to < 30.0 kg/m²; Pear – small-ABSI-large-HI; SD – standard deviation; Slim – small-ABSI-small-HI; VAT – visceral adipose tissue; Wide – large-ABSI-large-HI. SD difference (95% CI) – derived from linear regression models with adjustment for age, self-reported weight change within the year preceding the visit, smoking status, alcohol consumption, physical activity, Townsend deprivation index, region (except for VAT, ASAT and MRI) and, in women, menopausal status and use of hormonal replacement therapy (see definition of covariates in Supplementary Methods and numerical values in Supplementary Table S7). Body-composition measurements were converted to allometric indices with scaling for height (see scaling coefficients in Supplementary Table S2) and then to sex-specific z-scores (value minus mean, divided by the standard deviation). * p < 0.05; ** p < 0.001 p-values from a likelihood ratio test comparing a model with separate ABSI-by-HI and BMI categorical variables with a model with BMI-by-ABSI-by-HI cross-classification. Plots for legs, trunk and android lean and fat mass are shown in Supplementary Fig. S7