TABLE 5

Multivariate models systematically assessing detailed body fat composition

SnoringAHI 2–<5 events per hAHI ≥5 events per h
Model 1
 Age1.03 (0.91–1.16)1.18 (1.04–1.34)1.43 (1.20–1.70)
 Female0.76 (0.41–1.41)0.46 (0.24–0.88)0.38 (0.15–0.94)
 Ethnic minority1.08 (0.56–2.10)2.50 (1.35–4.64)1.71 (0.69–4.26)
 zNeck1.17 (0.56–2.42)1.69 (0.84–3.39)1.50 (0.71–3.15)
 zWaist1.17 (0.75–1.83)1.24 (0.80–1.91)1.89 (1.15–3.10)
Model 2
 Age1.05 (0.92–1.19)1.20 (1.05–1.37)1.43 (1.19–1.71)
 Female0.61 (0.33–1.15)0.23 (0.12–0.45)0.22 (0.09–0.54)
 Ethnic minority1.34 (0.68–2.64)3.28 (1.71–6.31)2.15 (0.85–5.47)
 zAWP1.11 (0.83–1.50)1.70 (1.27–2.28)1.88 (1.29–2.74)
 zGWP1.13 (0.83–1.55)1.19 (0.85–1.67)1.05 (0.65–1.69)
Model 3
 Age1.06 (0.94–1.20)1.25 (1.10–1.42)1.41 (1.18–1.67)
 Female0.49 (0.19–1.27)0.19 (0.07–0.50)0.34 (0.09–1.31)
 Ethnic minority1.23 (0.62–2.43)2.91 (1.51–5.61)1.79 (0.67–4.75)
 zVAT0.83 (0.39–1.76)1.10 (0.53–2.28)2.78 (1.11–6.96)
 zSAT1.49 (0.68–3.30)1.47 (0.67–3.23)0.66 (0.23–1.92)
  • Data are presented as OR (95% CI). These multinomial logistic regression models are based on those variables that were included in preliminary analysis (table 4) plus a systematic assessment of the detailed obesity variables. Each of these models includes all variables forced in. AHI: apnoea–hypopnoea index; z: z-transformed; AWP: android/whole-body fat-mass proportion; GWP: gynoid/whole-body fat-mass proportion; VAT: visceral adipose tissue; SAT: subcutaneous adipose tissue.