Evidence map›Paper›PMID 40060001›Full record

ArticleJCPP advances2025

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

Ana Beatriz Ravagnani Salto, Giovanni A Salum, Maurício Scopel Hoffmann, Marcos L Santoro, André Zugman, Pedro M Pan, Sintia I Belangero, Lucas Toshio Ito, Victoria Fogaça Doretto, Marcos S Croci and 6 more

Abstract read
In one paragraph

Article in JCPP advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Ana Beatriz Ravagnani SaltoDepartment & Institute of Psychiatry Faculdade de Medicina Universidade de São Paulo (USP) São Paulo São Paulo Brazil.ORCID https://orcid.org/0000-0002-6077-9461
Giovanni A SalumDepartment of Psychiatry Universidade Federal do Rio Grande do Sul (UFRGS) Porto Alegre RS Brazil.
Maurício Scopel HoffmannDepartment of Neuropsychiatry Universidade Federal de Santa Maria (UFSM) Santa Maria RS Brazil.ORCID https://orcid.org/0000-0003-4232-3169
Marcos L SantoroDepartamento de Bioquímica da Universidade Federal de São Paulo (UNIFESP) Disciplina de Biologia Molecular São Paulo Brazil.
André ZugmanThe Laboratory of Integrative Neuroscience (LINC) Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil.
Pedro M PanThe Laboratory of Integrative Neuroscience (LINC) Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil.ORCID https://orcid.org/0000-0002-1943-6520
Sintia I BelangeroThe Laboratory of Integrative Neuroscience (LINC) Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil.
Lucas Toshio ItoDepartamento de Bioquímica da Universidade Federal de São Paulo (UNIFESP) Disciplina de Biologia Molecular São Paulo Brazil.
Victoria Fogaça DorettoDepartment & Institute of Psychiatry Faculdade de Medicina Universidade de São Paulo (USP) São Paulo São Paulo Brazil.
Marcos S CrociDepartment & Institute of Psychiatry Faculdade de Medicina Universidade de São Paulo (USP) São Paulo São Paulo Brazil.
Marcelo J A A BrañasDepartment & Institute of Psychiatry Faculdade de Medicina Universidade de São Paulo (USP) São Paulo São Paulo Brazil.
Carina de GiustiThe Laboratory of Integrative Neuroscience (LINC) Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil.
Francisco Da Silva-JrThe Laboratory of Integrative Neuroscience (LINC) Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil.
Sahâmia Martins RibeiroThe Laboratory of Integrative Neuroscience (LINC) Universidade Federal de São Paulo (UNIFESP) São Paulo Brazil.
Euripedes Constantino MiguelDepartment & Institute of Psychiatry Faculdade de Medicina Universidade de São Paulo (USP) São Paulo São Paulo Brazil.
James F LeckmanYale Child Study Center Yale School of Medicine Yale University New Haven Connecticut USA.

Funding

Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
NIMH NIH HHS R01 MH120482
6 · The paper itself

Abstract

Background: Understanding 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. Methods: 2033 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. Results: The 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. Conclusion: Recognizing 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.

Indexed as

adolescenceanxietycognitionintelligencelongitudinal

Identifiers

PMID40060001
PMCPMC11889643

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.