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. 2020 Mar;20(1):257–265. doi: 10.4314/ahs.v20i1.31

Table 4.

Logistic regression model predicting depression and anxiety according to anthropometric indices

Variables Anxiety Depression

OR CI P-V OR CI P-V
Weight (kg) 1.019 (1.002–1.037) 0.03 1.020 (1.003–1.037) 0.01
Height (cm) 1.047 (1.000–1.097) 0.05 1.036 (1.007–1.047) 0.11
WC (cm) 1.028 (1.008–1.050) 0.007 1.027 (0.992–1.083) 0.01
HC (cm) 1.016 (0.989–1.043) 0.25 1.013 (1.007–1.047) 0.34
Anxiety 1.600 (1.428–1.792) 0.001 1.495 (1.363–1.640) 0.001
LBM (kg) 1.027 (0.993–1.063) 0.11 1.037 (1.003–1.072) 0.03
BF (kg) 1.033 (1.004–1.063) 0.02 1.029 (1.00–1.058) 0.04
PBF (%) 1.052 (0.993–1.113) 0.08 1.034 (0.980–1.092) 0.22
BMI (kg/m2) 1.038 (0.988–1.089) 0.13 1.043 (0.995–1.093) 0.08
WHR 119.284 (3.896–3652.5) 0.006 119.044 (4.315–328.54) 0.005
ABSI 0.000 (0.0–4.1E+33) 0.51 0.00 (0.00–3.593E+16) 0.19
AVI 1.063 (1.016–1.112) 0.009 1.061 (1.015–1.109) 0.01
Central obesity 1.577 (0.419–5.929) 0.50 0.891 (0.281–2.82) 0.84

BMI; Body Mass Index, WC; Waist Circumference, HC; Hip Circumference, WHR; Waist–hip ratio, LBM; Lean Body Mass, PBF; percentage body fat, ABSI; A Body Shape Index, AVI; abdominal volume index, CI; Confidence interval

P-Values were adjusted for age and gender