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. 2022 Jan;44:101088. doi: 10.1016/j.ehb.2021.101088

Table 3.

Observational multivariable analyses of the effect of BMI, WHR, and WHR adjusted for BMI on yearly hospital admission rate per year in UK Biobank participants of White British ancestry (N = 310,471). Effect estimates are provided per BMI SD (SDBMI=4.74) and per WHR SD (SDWHR=0.090).

Observational (unadjusted) Observational (adjusteda)
Rateb 95%CI Rateb 95%CI
BMI (SD) 1.148 (1.133–1.163) 1.077 (1.065–1.091)
WHR (SD) 1.197 (1.181–1.214) 1.162 (1.144–1.182)
WHRadjBMI (SD) 1.155 (1.137–1.173) 1.141 (1.120–1.163)
WHR~BMI residuals (WHR SD)c 1.156 (1.136–1.176) 1.123 (1.102–1.145)

BMI = body mass index, CI = confidence interval, SD = standard deviation, WHR = waist hip ratio, WHRadjBMI = waist hip ratio adjusted for BMI

a) Adjusted for sex (categorical), age at study entry, alcohol frequency (categorical, from on a daily basis to never), employment (categorical), qualifications (categorical), Townsend deprivation score (categorical in quintiles, where 1 is not deprived and 5 is very deprived), and days of exercise per week (categorical, from 1 to 7). The WHRadjBMI observational analyses also include BMI as a predictor.

b) Estimates (with corresponding 95% CIs) represent the fold increase in yearly hospital admission rate per BMI SD (4.74 kg/m2) and per WHR SD (0.090). Estimates per BMI and WHR unit are given in Table S2.