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. 2023 Apr 14;33(3):833–845. doi: 10.1007/s00787-023-02197-6

Table 3.

Associations of combined physically active and non-physically active early morning patterns with global white matter microstructure indicators

GLOBAL FA GLOBAL MD GLOBAL RD GLOBAL AD
N β (95% CI) P β (95% CI) P β (95% CI) P β (95% CI) P
Physically active patterns
 0 pattern 28 Ref Ref Ref Ref
 1 pattern 47 0.108 (− 0.128, 0.344) 0.365 − 0.171 (− 0.391, 0.049) 0.145 − 0.155 (− 0.377, 0.067) 0.187 − 0.155 (− 0.399, 0.089) 0.191
 2 patterns 14 0.298 (0.064, 0.532) 0.013* − 0.225 (− 0.433, 0.004) 0.054 − 0.272 (− 0.509, − 0.034) 0.021* − 0.075 (− 0.283, 0.149) 0.524
Non-physically active patterns
 0–1 pattern 26 Ref Ref Ref Ref
 2 patterns 44 0.081 (− 0.157, 0.320) 0.497 0.016 (− 0.225, 0.248) 0.891 − 0.022 (− 0.285, 0.220) 0.854 0.091 (− 0.160, 0.365) 0.451

β values are standardized regression coefficients. Analyses were adjusted for sex, peak height velocity (year) and parent education university level (neither/one/both). Statistically significant values are shown in bold (P < 0.05)

FA Fractional anisotropy, MD mean diffusivity, RD Radial diffusivity, AD Axial diffusivity, Ref. reference

*Statistically significant values surpassed multiple comparisons using the Benjamini and Hochberg method

Combined physically active patterns were calculated as the sum of performing active commuting to school and physical activity before school

Combined non-physically active patterns were calculated as the sum of having breakfast and good sleep