Table 2 HR (95% CI) of incident kidney cancer according to BMI and WC categories

From: Obesity, abdominal obesity and subsequent risk of kidney cancer: a cohort study of 23.3 million East Asians

 NEventPerson-yearsIncidence rateaHR (95% CI)
Model 1bModel 2cModel 3d
BMI (per 1 kg/m2)1.078 (1.073–1.083)1.06 (1.055–1.065)1.037 (1.029–1.044)
 BMI (kg/m2)
 <25.015,852,61510,16485,236,4200.121 (ref.)1 (ref.)1 (ref.)
 ≥25.07,460,431787240,285,2670.201.46 (1.42–1.50)1.32 (1.28–1.36)1.11 (1.06–1.15)
  P<0.001<0.001<0.001
 <18.5945,8593084,930,4200.060.72 (0.64–0.81)0.76 (0.68–0.85)0.82 (0.73–0.92)
 18.5–22.99,269,581503749,696,6920.101 (ref.)1 (ref.)1 (ref.)
 23.0–24.95,637,175481930,609,3080.161.29 (1.24–1.34)1.23 (1.18–1.28)1.11 (1.07–1.16)
 25.0–29.96,596,150691035,715,7700.191.56 (1.50–1.61)1.41 (1.36–1.46)1.19 (1.13–1.25)
 ≥ 30.0864,2819624,569,4970.212.13 (1.98–2.28)1.77 (1.65–1.90)1.36 (1.24–1.49)
  P< 0.001< 0.001< 0.001
 P for trend< 0.001< 0.001< 0.001
WC (per 5 cm)1.162 (1.152–1.172)1.125 (1.115–1.135)1.091 (1.076–1.106)
WC (cm)
 M < 90.0, F < 85.018,611,18712,114100,250,9050.121 (ref.)1 (ref.)1 (ref.)
 M ≥ 90.0, F ≥ 85.04,701,859592225,270,7820.231.47 (1.42–1.51)1.32 (1.28–1.37)1.12 (1.08–1.17)
  P<0.001<0.001<0.001
 M < 80.0, F < 75.08,690,729353046,456,9620.080.65 (0.62–0.68)0.71 (0.67–0.74)0.79 (0.75–0.84)
 M 80.0–84.9, F 75.0–79.95,372,085412629,124,1410.140.87 (0.84–0.91)0.90 (0.87–0.94)0.95 (0.91–0.99)
 M 85.0–89.9, F 80.0–84.94,548,373445824,669,8030.181 (ref.)1 (ref.)1 (ref.)
 M 90.0–94.9, F 85.0–89.92,720,487320114,701,5430.221.12 (1.07–1.18)1.09 (1.04–1.14)1.05 (1.00–1.10)
 M 95.0–99.9, F 90.0–94.91,256,95817006,745,3040.251.30 (1.23–1.38)1.22 (1.15–1.29)1.15 (1.08–1.22)
 M ≥ 100.0, F ≥ 95.0724,41410213,823,9350.271.48 (1.38–1.58)1.33 (1.24–1.42)1.18 (1.09–1.28)
  P<0.001<0.001< 0.001
  P for trend<0.001<0.001< 0.001
  1. HR hazard ratio, CI confidence interval, BMI body mass index WC waist circumference, M male, F female
  2. aIncidence per 1000 person-years
  3. bModel 1 was adjusted for age and sex
  4. cModel 2 was adjusted for age, sex, smoking status, alcohol consumption, physical activity, income, estimated glomerular filtration rate, hypertension and diabetes mellitus
  5. dModel 3 was adjusted for age, sex, smoking status, alcohol consumption, physical activity, income, estimated glomerular filtration rate, hypertension, diabetes mellitus and WC (or BMI)