Table 3.
Associations of brain structure with physical symptoms.
| Generation R study (n = 2649) | Cortical grey matter volume (mm3) | Subcortical grey matter volume (mm3) | Total white matter volume (mm3) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| b | SE | punc | pFDR | b | SE | punc | pFDR | b | SE | punc | pFDR | |
| Physical symptoms | −6.3 × 10−7 | 6.5 × 10−7 | 0.337 | 0.755 | −2.2 × 10−6 | 6.0 × 10−6 | 0.716 | 0.755 | −4.5 × 10−7 | 7.5 × 10−7 | 0.551 | 0.755 |
| Adolescent Brain Cognitive Development (ABCD) study (n = 9637) | Cortical grey matter volume (mm3) | Subcortical grey matter volume (mm3) | Total white matter volume (mm3) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| b | SE | punc | pFDR | b | SE | punc | pFDR | b | SE | punc | pFDR | |
| Physical symptoms | −8.1 × 10−8 | 2.6 × 10−7 | 0.755 | 0.755 | −2.1 × 10−6 | 3.2 × 10−6 | 0.510 | 0.755 | -4.1 x10-7 | 3.2 × 10−7 | 0.199 | 0.755 |
b Unstandardised Coefficient Regression, SE Standard Error, unc uncorrected, FDR False Discovery Rate.
The model was adjusted for age, sex, national origin (Generation R) or race/ethnicity (ABCD), estimated intracranial volume, maternal education (Generation R) or parental education (ABCD), household income, body mass index and non-verbal intelligence quotient. ABCD analyses were additionally adjusted for the 21 study sites. Physical symptoms were assessed using the school-age version (for ages 6–18) of the Child Behavior Checklist (CBCL).