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Adolescent internalizing symptoms: The importance of multi-informant assessments in childhood
Marie C Navarro1, Massimiliano Orri2, Daniel Nagin3
1Bordeaux Population Health Research Centre, INSERM U1219 and University of Bordeaux, Bordeaux, France.
Background:
Childhood internalizing symptoms can be associated with adolescent internalizing symptoms, but only a small proportion of symptomatic children are at long-term risk. Our objectives were to (1) distinguish between typical and atypical levels of internalizing symptoms using mother- and teacher-assessments and (2) test the association between childhood internalizing symptoms and adolescent generalized anxiety, depression, and social phobia symptoms in boys and girls.
Methods:
Multi-trajectory models were used to estimate the evolution of mother- and teacher-reported internalizing symptoms across childhood (1.5 to 12 years) in a large population-based cohort (n = 1431). Multiple linear regression models were implemented to estimate the association between childhood group membership of internalizing symptoms and self-reported specific internalizing symptoms at 15 years by sex.
Results:
Five groups of childhood internalizing symptoms were identified: Mother & teacher low (22.6%), Mother moderate/teacher low (37.9%), Mother moderate/teacher high (18.3%), Mother high/teacher low (11.8%) and Mother & teacher high (9.5%). Multiple linear regression models showed that compared to the low group, (1) boys in the high group reported higher social phobia symptoms (p = 0.04), (2) girls in the high group reported higher depression (p = 0.01) and generalized anxiety (p < 0.01) symptoms, and (3) girls in the moderate/high group reported higher generalized anxiety symptoms (p = 0.02) in adolescence.
Limitations:
The main limitation is that mothers' and teachers' assessments mostly covered different developmental periods.
Conclusions:
A multi-informant assessment of childhood internalizing symptoms improves adolescent specific internalizing symptoms identification in a general population sample over reliance on a single informant.
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