Table 2.
Regression coefficients of the linear mixed effects regression models for the association between change (Δ) in MSFsc or SJL and Δ BMI-SDS and Δ Body composition measures in n = 213 participants (N = 572 questionnaires) of, DONALD Study, 2015–2019.
| Δ MSFsca | Δ SJLb | |||||
|---|---|---|---|---|---|---|
| Outcome of interest | beta | 95% CI | p value | beta | 95% CI | p value |
| Δ BMI-SDS | ||||||
| Crude | 0.06 | (−0.01,0.13) | 0.10 | 0.08 | (0.02,0.15) | 0.01 |
| Model 1 | 0.06 | (−0.01,0.14) | 0,11 | 0.08 | (0.01,0.14) | 0.02 |
| Δ FFMI | ||||||
| Crude | 0.18 | (0.04,0.32) | 0.02 | 0.29 | (0.15,0.43) | <0.0001 |
| Model 1 | 0.01 | (−0.16,0.17) | 0.92 | 0.06 | (−0.10,0.19) | 0.35 |
| Δ log FMI | ||||||
| Crude | 0.05 | (0.01,0.08) | 0.01 | 0.06 | (0.02,0.10) | 0.002 |
| Model 1 | 0.05 | (0.01,0.08) | 0.01 | 0.04 | (0.003,0.08) | 0.03 |
Crude: unadjusted model.
Model: 1 adjusted for age at baseline, sex, time between last and first measurement, age at take-off, persons in the household, maternal BMI (kg/m2).
MSFsc Midpoint of sleep, SJL Social Jetlag, CI Confidence Interval, BMI-SDS Body Mass Index-Standard Deviation Score (kg/m2), FFMI Fat Free Mass Index (kg/m2), FMI Fat Mass Index (kg/m2).
aBMI-SDS models contain a random intercept and slope for chronotype change with a variance components structure (VC). FFMI models contain a random intercept and slope for chronotype change and time with a VC structure. Log FMI models contain a random intercept and slope for time with an unstructured covariance structure (UN).
bBMI-SDS models contain a random intercept and slope for time with an un structure. FFMI models contain a random intercept and slope for time with a VC structure. Log FMI models contain a random intercept and slope for time with a VC structure.