Evidence map›Paper›PMID 38863682›Full record

ArticleJAACAP open2024

Prospective Follow-Up of Adolescents With and at Risk for Depression: Protocol and Methods of the Identifying Depression Early in Adolescence Risk Stratified Cohort Longitudinal Assessments.

Jader Piccin, Anna Viduani, Claudia Buchweitz, Rivka B Pereira, Aline Zimerman, Guilherme R Amando, Victor Cosenza, Leonardo Z Ferreira, Natália A G McMahon, Ramásio F Melo and 16 more

Abstract read
In one paragraph

Article in JAACAP open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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  4. Editors' Best of 2024.JAACAP open · 2025
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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

26 authors.

Jader PiccinUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Anna ViduaniUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Claudia BuchweitzUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Rivka B PereiraUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Aline ZimermanUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Guilherme R AmandoUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Victor CosenzaUniversidade Federal de Pelotas (UFPEL), Pelotas, Brazil.
Leonardo Z FerreiraUniversidade Federal de Pelotas (UFPEL), Pelotas, Brazil.
Natália A G McMahonUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Ramásio F MeloUniversidade Federal de Pelotas (UFPEL), Pelotas, Brazil.
Danyella RichterUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Frederico D S ReckziegelUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Fernanda RohrsetzerUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Laila SouzaUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
André C TononUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Marina Tuerlinckx Costa-ValleUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Zuzanna ZajkowskaKing's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Ricardo Matsumura AraújoUniversidade Federal de Pelotas (UFPEL), Pelotas, Brazil.
Tobias U HauserMax Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom, Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom and with Eberhard Karls University of Tübingen, Tübingen, Germany.
Alastair van HeerdenHuman and Social Development, Human Sciences Research Council, Pietermaritzburg, South Africa and Medical Research Council/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, Johannesburg, South Africa.
Maria Paz HidalgoUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Brandon A KohrtThe George Washington University, Washington, DC, United States.
Valeria MondelliKing's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Johnna R SwartzUniversity of California, Davis, Davis, CA, United States.
Helen L FisherKing's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Christian KielingUniversidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Funding

Brazilian-American Initiative on Neuroimaging for Identifying Depression Early in Adolescence (BRAIN-IDEA)R21MH124072 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KIELING, CHRISTIAN, SWARTZ, JOHNNA ROSE · 2020 to 2020
$346k
Medical Research Council MC_PC_MR/R019460/1MRF_ MRF-160-0005-ELP-MONDENIMH NIH HHS R21 MH124072Wellcome Trust
6 · The paper itself

Abstract

Objective: To present the protocol and methods for the prospective longitudinal assessments-including clinical and digital phenotyping approaches-of the Identifying Depression Early in Adolescence Risk Stratified Cohort (IDEA-RiSCo) study, which comprises Brazilian adolescents stratified at baseline by risk of developing depression or presence of depression. Method: Of 7,720 screened adolescents aged 14 to 16 years, we recruited 150 participants (75 boys, 75 girls) based on a composite risk score: 50 with low risk for developing depression (LR), 50 with high risk for developing depression (HR), and 50 with an active untreated major depressive episode (MDD). Three annual follow-up assessments were conducted, involving clinical measures (parent- and adolescent-reported questionnaires and psychiatrist assessments), active and passive data sensing via smartphones, and neurobiological measures (neuroimaging and biological material samples). Retention rates were 96% (Wave 1), 94% (Wave 2), and 88% (Wave 3), with no significant differences by sex or group ( Discussion: This protocol relied on novel aspects, such as the use of a WhatsApp bot, which is particularly pertinent for low- to-middle-income countries, and the collection of information from diverse sources in a longitudinal design, encompassing clinical data, self-reports, parental reports, Global Positioning System (GPS) data, and ecological momentary assessments. The study engaged adolescents over an extensive period and demonstrated the feasibility of conducting a prospective follow-up study with a risk-enriched cohort of adolescents in a middle-income country, integrating mobile technology with traditional methodologies to enhance longitudinal data collection.

Indexed as

adolescencecohortdepressiondigital phenotypingrisk score

Identifiers

PMID38863682
PMCPMC11163476

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.