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. 2023 Jul 26;6:100082. doi: 10.1016/j.sleepx.2023.100082

Table 3.

Quantile regression associations of sleep duration, bedtime, and wake-up time with BMI.

Sleep Variables 25th
 50th
 75th
β (95% CI) P value β (95% CI) P value β (95% CI) P value
Sleep Duration
AdjustedModel1 −0.14 (−0.40,0.11) 0.26 −0.21 (−0.51,0.09) 0.16 −0.63 (−1.06,1.19) 0.005
AdjustedModel2 −0.13 (−0.44,0.17) 0.38 −0.17 (−0.52,0.17) 0.32 −0.52 (−1.00,-0.04) 0.03a
Bedtime
AdjustedModel1 0.05 (−0.18,0.28) 0.68 0.23 (−0.03,0.49) 0.08 0.50 (0.08,0.91) 0.02
AdjustedModel2 0.03 (−0.23,0.30) 0.80 0.17 (−0.13,0.17) 0.32 0.32 (−0.10,0.74) 0.13a
Wake-uptime
AdjustedModel1 −0.05 (−0.27,0.17) 0.68 0.00 (−0.25,0.25) 0.99 −0.11 (−0.52,0.30) 0.59
AdjustedModel2 0.03 (−0.23,0.30) 0.80 0.17 (−0.13,0.47) 0.27 0.32 (−0.10,0.74) 0.13b

Abbreviations: BMI body mass index; CI, Confidence Interval.

β values reflect the difference in BMI (Kg/m2) for each increased hour of each sleep variable.

Adjusted Model 1: sleep duration, bedtime, and wake-up time were separately entered into multiple models after adjusting for the participants' gender, age, marital status, education, diet quality, weekly physical activity duration, alcohol, and smoking.

Significant P-values ≤0.05 are shown in bold.

a

Adjusted Model 2: sleep duration and bedtime were simultaneously entered into multiple models after adjusting for the participants' gender, age, marital status, education, diet quality, weekly physical activity duration, alcohol, and smoking.

b

Adjusted Model 2: wake-up time and sleep duration were simultaneously entered into multiple models after adjusting for the participants' gender, age, marital status, education, diet quality, weekly physical activity duration, alcohol, and smoking.