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. 2014 Sep 24;9(9):e108467. doi: 10.1371/journal.pone.0108467

Table 4. Association between outcomes at follow-up (dependent variables) and the percentage of total daily caloric intake from dinner in multiple logistic regression models.

Lower tertile Middle tertile Higher tertile
OR; 95% CI; p OR; 95% CI; p
Incident obesity (%)
Crude 1 1.84; 1.04–3.25; 0.03 2.59; 1.50–4.46; <0.001
Model 11 1 1.88; 0.97–3.66; 0.06 2.75; 1.45–5.20; 0.002
Model 22 1 1.79; 0.89–3.62; 0.10 2.33; 1.17–4.65; 0.02
Incident diabetes (%)
Crude 1 1.16; 0.42–3.23; 0.78 2.29; 0.92–5.69; 0.07
Model 11 1 1.13; 0.40–3.15; 0.82 2.36; 0.94–5.90; 0.07
Model 22 1 0.97; 0.34–2.78; 0.96 2.26; 0.89–5.75; 0.09
Incident IFG (%)
Crude 1 1.00; 0.98–1.01; 0.76 1.00; 0.99–1.02; 0.55
Model 11 1 1.00; 0.98–1.01; 0.66 1.00; 0.99–1.02; 0.64
Model 22 1 1.00; 0.97–1.01; 0.61 0.99; 0.97–1.01; 0.49
Incident metabolic syndrome (%)
Crude 1 1.34; 0.89–2.02; 0.16 1.53; 1.02–2.30, 0.04
Model 11 1 1.32; 0.88–2.00; 0.18 1.54; 1.03–2.32; 0.04
Model 22 1 1.32; 0.87–2.01; 0.19 1.52; 1.01–2.30; 0.04
Incident NAFLD (%)
Crude 1 0.89; 0.61–1.30; 0.56 1.58; 1.12–2.24; 0.01
Model 11 1 0.86; 0.59–1.25; 0.43 1.54; 1.09–2.18; 0.01
Model 22 1 0.88; 0.60–1.30; 0.53 1.56; 1.10–2.22; 0.01
1

Model 1: multiple logistic regression model, after adjustment for age, sex, BMI at baseline, METS h/week, living in a rural area.

2

Model 2: multiple logistic regression model, after adjustment for age, sex, BMI at baseline, METS h/week, living in a rural area, intake of total energy and saturated fat, and skipping breakfast.

Impaired fasting glucose (IFG); non-alcoholic fatty liver disease (NAFLD); metabolic equivalent of the activity (MET).