Table 2.
Linear Regression Results of Relationships Between Sleep Duration and Body Mass Index (BMI), Stratified by Age Group.
| Model | 16–17 | 18–29 | 30–49 | 50–64 | ≥65 |
|---|---|---|---|---|---|
| β (95% CI) | β (95% CI) | β (95% CI) | β (95% CI) | β (95% CI) | |
|
| |||||
| Unadjusted | −0.47 (−1.07, 0.14) | ***−0.75 (−1.12 – −0.38) | **−0.36 (−0.64 – −0.09) | −0.27 (−0.63 – 0.10) | −0.25 (−0.52 – 0.03) |
|
| |||||
| Adjusteda | *−0.57 (−1.13, −0.01) | ***−0.82 (−1.25 – −0.39) | *−0.35 (−0.63 – −0.06) | −0.26 (−0.65 – 0.13) | −0.26 (−0.55 – 0.02) |
|
| |||||
| Fully-Adjustedb | −0.54 (−1.10, 0.01) | ***−0.75 (−1.20, −0.31) | *−0.31 (−0.62, −0.00) | −0.34 (−0.73, 0.05) | −0.17 (−0.47, 0.13) |
β values reflect difference in BMI for each increased hour of sleep
*
P<0.05,
**
P<0.01,
***
P<0.001
a
Adjusted analyses include sex, race/ethnicity, marital status, exercise, income to poverty ratio, and education
b
Adjusted for sex, race/ethnicity, marital status, exercise, income to poverty ratio, education, total caloric intake, alcohol, smoking, number of foods in diet, and depression.