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Moderators. The time x treatment interaction for EDE-Q global was moderated by the RSE baseline score (F(4, 433) = 2.56, p = .04). Between baseline and 6 weeks, participants receiving CBT-E reported an additional decrease in EDE-Q scores, when the RSE baseline score was higher. Overall F test statistics and fixed effects for this moderator analysis are presented in Tables S6.5 and S6.6 in the supplementary material. Treatment intensity Significant differences in treatment intensity between T0–T1 and T2–T3 were found. Between T0 and T1, CBT-E was more intensive (Xxxx-Xxxxxxx: p <.001), while between T2–T3 TAU consisted of more treatment minutes (Xxxx-Xxxxxxx: p <.001). Overall, between T0–T3, CBT-E appeared a significantly less intensive treatment than TAU (Xxxx-Xxxxxxx: p = 0.01) (see Table 6.5 and Figure S6.1 in the supplementary material).
Moderators. Faculty who will be serving as a moderator at the meeting are required to: Review all lectures within the session(s) they are moderating, which includes: o Reviewing content to ensure it is well-balanced, evidence-based and unbiased; o Reviewing speaker disclosures and resolving all identified conflicts according to ASCCP and ACCME policies. All lectures presented at ASCCP meetings are shared with participants as a PDF after the meeting.
Moderators. Parental socioeconomic factors We analysed the effects of four parental socioeconomic variables as moderators of offspring outcomes. These were maternal income, maternal education, paternal income, and paternal education, which were extracted from national register data. Data on parents’ total income (the sum of income from work capital gains and benefits received during the calendar year [Statistics Norway, 2023]) and educational attainment from 2000 to 2013 were included, corresponding to when child outcomes were assessed in MoBa (when children were aged 1.5, 3 and 5 years old). At each time-point, we created a measure of income rank that indicates an individual’s position in the distribution of incomes within a cohort-sex-year-group (e.g., 2005 income for females/males born in 1983). The income rank measure was scaled between 0 and 1, with higher values denoting a higher income rank within the reference group. Income rank at these three time-points was used to calculate average income rank across early childhood for each parent. At each time-point, level of educational attainment was indexed in accordance with the Norwegian Standard Classification of Education, with values ranging from 1 (primary education) to 8 (doctoral-level education). Education-level at these three time-points was used to calculate average education-level across early childhood for each parent. Our decision to model the effects of these socioeconomic variables separately for mothers and fathers was guided by several factors. Initially, we observed only small to moderate correlations among the different socioeconomic indicators, ranging from .07 between maternal and paternal income to .45 between maternal and paternal education (Supplementary Table S1). Despite these moderate correlations, each indicator captures unique aspects of the socioeconomic context, and it has been argued that they should not be used interchangeably or in composite form, given their reflection of different phenomena and mechanisms contributing to social disparities in mental health (Diemer et al., 2013). Analysing these socioeconomic indicators independently may therefore provide a clearer understanding of their specific relationships with offspring mental health outcomes. Furthermore, the analysis of individual indicators facilitates more robust cross-cultural comparisons, particularly when considering findings from studies conducted in populations with diverse social stratification procedures, such as low-...
