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. Author manuscript; available in PMC: 2016 May 1.
Published in final edited form as: Int J Obes (Lond). 2014 Dec 22;39(5):842–848. doi: 10.1038/ijo.2014.201

Table 1.

Social jetlag is associated with metabolic measures: BMI, fat mass, waist circumference, obesity and metabolic syndrome

Predictor variable BMI
Fat mass
Waist circumference
Obesity
Metabolic syndrome
β (s.e.) P-value β (s.e.) P-value β (s.e.) P-value OR (95% CI) P-value OR (95% CI) P-value
Sex   0.07 (0.4) 0.056 −0.27 (0.8) 0.000   0.39 (8.4) 0.000 1.0 (0.7–1.3) 0.806 2.1 (1.4–3.2) 0.000
Chronotype −0.06 (0.2) 0.166 −0.03 (0.4) 0.528 −0.04 (4.3) 0.289 0.9 (0.8–1.1) 0.353 1.2 (1.0–1.4) 0.121
Sleep duration −0.04 (0.2) 0.333 −0.02 (0.4) 0.432 −0.05 (4.3) 0.123 0.9 (0.8–1.1) 0.192 1.0 (0.8–1.2) 0.679
Social jetlag   0.10 (0.2) 0.012   0.08 (0.5) 0.031   0.07 (5.1) 0.052 1.2 (1.0–1.5) 0.045 1.3 (1.0–1.6) 0.031

Abbreviations: BMI, body mass index; CI, confidence interval; OR, odds ratio. We used linear regression models to test associations with continuous outcome measures of BMI, fat mass and waist circumference. The table shows the standardized coefficient (β), s.e. and P-value associated with each predictor variable. We used logistic regressions to test associations with binary outcome measures of obesity and the metabolic syndrome. The odds ratio for chronotype, sleep duration and social jetlag reflect the effect of a one-unit (s.d.) increase in the predictor variables. Significant P-values (P < 0.05) are shown in bold. Sex was coded as: female = 1, male = 2.