The trajectory of anxiety symptoms during the transition from childhood to young adulthood is predicted by IQ and sex, but not polygenic risk scores

Author:

Ravagnani Salto Ana Beatriz1ORCID,Salum Giovanni A.23,Hoffmann Maurício Scopel45ORCID,Santoro Marcos L.67,Zugman André7,Pan Pedro M.7ORCID,Belangero Sintia I.78,Ito Lucas Toshio67,Doretto Victoria Fogaça1,Croci Marcos S.1,Brañas Marcelo J. A. A.1,de Giusti Carina7,Silva‐Jr Francisco Da7,Ribeiro Sahâmia Martins7,Miguel Euripedes Constantino1,Leckman James F.9

Affiliation:

1. Department & Institute of Psychiatry Faculdade de Medicina Universidade de São Paulo (USP) São Paulo São Paulo Brazil

2. Department of Psychiatry Universidade Federal do Rio Grande do Sul (UFRGS) Porto Alegre RS Brazil

3. Child Mind Institute New York New York USA

4. Department of Neuropsychiatry Universidade Federal de Santa Maria (UFSM) Santa Maria RS Brazil

5. Graduate Program in Psychiatry and Behavioral Sciences UFRGS Porto Alegre RS Brazil

6. Departamento de Bioquímica da Universidade Federal de São Paulo (UNIFESP) Disciplina de Biologia Molecular São Paulo Brazil

7. The Laboratory of Integrative Neuroscience (LINC) Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil

8. Department of Morphology and Genetics Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil

9. Yale Child Study Center Yale School of Medicine Yale University New Haven Connecticut USA

Abstract

AbstractBackgroundUnderstanding the factors that determine distinct courses of anxiety symptoms throughout development will better guide interventions. There are scarce data‐driven longitudinal studies, using multi‐modal predictors, investigating the chronicity of anxiety symptoms from childhood to young adulthood, particularly in a middle‐income country.Methods2033 youths (ages 6–14 years [Mean age = 10.4 ± 1.94) at Baseline] were enrolled in the Brazilian High‐Risk Cohort for Mental Conditions longitudinal study, and assessed at three timepoints, between 2010 and 2019, using the Screen for Child Anxiety Related Disorders. Confirmatory Factor Analysis provided input to Growth Mixture Models to identify the best fitting trajectory model. Multinomial logistic regression analyses tested the effects of intelligence quotient (IQ), environmental factors and polygenic risk scores on internalizing symptomatology within trajectory class membership.ResultsThe best model solution identified three classes: high‐decreasing, moderate/low‐stable and low‐increasing symptoms over time. The high‐decreasing class showed a higher incidence of anxiety symptoms at the second time point (Mean age = 13.8 ± 1.93); while anxiety symptoms were highest in the low‐increasing class at the third timepoint (Mean age = 18.35 ± 2.03). Further, lower IQ predicted membership in the high‐decreasing trajectory class (OR = 0.68, 95% CI [0.55, 0.85]), while higher IQ predicted membership in the low‐increasing trajectory class (OR = 1.95, 95% CI [1.42, 2.67]). Finally, females were more likely than males to be in the low‐increasing trajectory class. Polygenic risk scores were not associated with anxiety trajectory class membership.ConclusionRecognizing that anxiety symptoms follow diverse paths over time will allow for more effective intervention strategies. Specifically, interventions could accommodate children for greater anxiety risk in early childhood (i.e., lower IQ) versus late adolescence (i.e., higher IQ). That said, the emotional needs of girls in late adolescence should be monitored, regardless of their cognitive abilities or high achievements.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Reference61 articles.

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