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.

From: Changes in chronotype and social jetlag during adolescence and their association with concurrent changes in BMI-SDS and body composition, in the DONALD Study

 

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

  1. Crude: unadjusted model.
  2. 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).
  3. 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).
  4. 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).
  5. 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.
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