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. 2019 Mar 27;9:12. doi: 10.1038/s41387-019-0079-8

Table 3.

Body fat and fat distribution measures as predictors of IGM/T2D risk at follow-up

Variables Odds ratio 95% CI p value Model p value
FM (kg)
  Baseline fat mass (kg) 1.01 0.97–1.04 0.622 0.170
  Change fat mass (kg) 0.99 0.93–1.04 0.605
Trunk FM (kg)
  Baseline trunk FM (kg) 1.95 1.43–2.67 <0.0001 <0.0001
  Change trunk FM (kg) 1.08 0.97–1.21 0.162
Arm FM (kg)
  Baseline arm FM (kg) 2.73 1.39–5.38 0.004 0.004
  Change arm FM (kg) 0.98 0.64–1.51 0.941
Leg FM (kg)
 Baseline leg FM (kg) 0.55 0.41–0.73 <0.0001 <0.0001
 Change leg FM (kg) 1.02 0.86–1.21 0.809
VAT (10cm2)
  Baseline VAT (10 cm2) 1.25 1.10–1.42 <0.0001 <0.001
  Change VAT (10 cm2) 1.12 1.03–1.23 0.010
SAT (10cm2)
  Baseline SAT (10 cm2) 1.02 0.96–1.08 0.573 0.201
  Change SAT (10 cm2) 0.98 0.94–1.03 0.437
VAT (10cm2) and leg FM (kg)
  Baseline VAT (10 cm2) 1.14 0.98–1.32 0.082 <0.0001
  Change VAT (10 cm2) 1.13 1.01–1.27 0.037
  Baseline leg FM (kg) 0.65 0.47–0.90 0.008
  Change leg FM (kg) 0.91 0.74–1.11 0.362

Data are presented as odds ratios, 95% confidence interval (CI), and p values adjusted for age. Each model includes baseline body fat and fat distribution measures, the change in the body fat and fat distribution measures as predictor variables. Outcome variables include two groups categorised as either “0”, the NGT group (i.e., NGT participants, reference group (n = 91)) or “1”, the IGM/T2D group (i.e., IFG/IGT and T2D participants, the exposure group (n = 51)). All the body fat and fat distribution models were adjusted for the potential effects of age at baseline, and regional FM, VAT, and SAT models were also adjusted for baseline body fat mass. FM, fat mass; VAT, visceral adipose tissue area; SAT, subcutaneous adipose tissue area