Evidence map›Paper›PMID 38085210›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2024

The Developmental Timing but Not Magnitude of Adolescent Risk-Taking Propensity Is Consistent Across Social, Environmental, and Psychological Factors.

Brenden Tervo-Clemmens, Zuena A Karim, Sehyr Z Khan, Orma Ravindranath, Leah H Somerville, Randi M Schuster, Jodi M Gilman, A Eden Evins

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 16 citations in OpenAlex.

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  7. Investigating hierarchical critical periods in human neurodevelopment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Brenden Tervo-ClemmensDepartment of Psychiatry, Masssachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota. Electronic address: btervocl@umn.edu.
Zuena A KarimUniversity of Texas at Austin, Austin, Texas.
Sehyr Z KhanWellesley College, Wellesley, Massachusetts.
Orma RavindranathDepartment of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Leah H SomervilleDepartment of Psychology and Center for Brain Science, Harvard University, Cambridge, Massachusetts.
Randi M SchusterDepartment of Psychiatry, Masssachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Jodi M GilmanDepartment of Psychiatry, Masssachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
A Eden EvinsDepartment of Psychiatry, Masssachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Harvard University · USThe University of Texas at Austin · USUniversity of Minnesota · USUniversity of Pittsburgh · USWellesley College · US

Funding

Career Development Program in Substance Use and Addiction MedicineK12DA043490 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI A EDEN EVINS, NANCY A RIGOTTI · 2017 to 2026
$4.7M
Medical Marijuana, Neurocognition, and Subsequent Substance UseR01DA042043 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI GILMAN, JODI · 2017 to 2021
$3.3M
Medical Marijuana, Pain, and Opioid Use in Patients with Chronic Non-cancer PainR01DA051540 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI EVINS, A EDEN, GILMAN, JODI · 2021 to 2024
$2.7M
Leveraging complementary big data methods and patient intervention designs to optimize neural markers of adolescent cannabis useK23DA057486 · NIDA · UNIVERSITY OF MINNESOTA · PI Brenden Craig Tervo-Clemmens · 2023 to 2026
$782k
Using Neuroimaging Markers to Understand Risk Factors and Consequences of Cannabis on Brain Structure and FunctionK02DA052684 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI GILMAN, JODI · 2021 to 2025
$642k
NIDA NIH HHS K02 DA052684NIDA NIH HHS K12 DA043490NIDA NIH HHS K23 DA057486NIDA NIH HHS L30 DA059086NIDA NIH HHS R01 DA042043
6 · The paper itself

Abstract

purposeRisk-taking is thought to peak during adolescence, but most prior studies have relied on small convenience samples lacking participant diversity. This study tested the generalizability of adolescent self-reported risk-taking propensity across a comprehensive set of participant-level social, environmental, and psychological factors.

methodsData (N = 1,005,421) from the National Survey on Drug Use and Health were used to test the developmental timing and magnitude of risk-taking propensity and its link to alcohol and cannabis use across 19 subgroups defined via sex, race/ethnicity, socioeconomic status, population density, religious affiliation, and mental health.

resultsThe developmental timing of a lifespan peak in risk-taking propensity during adolescence (15-18 years old) generalized across nearly all levels of social, environmental, and psychological factors, whereas the magnitude of this peak widely varied. Nearly all adolescents with regular substance use reported higher levels of risk-taking propensity. DISCUSSION: Results support a broad generalizability of adolescence as the peak lifespan period of self-reported risk-taking but emphasize the importance of participant-level factors in determining the specific magnitude of reported risk-taking.

Indexed as

Adolescent BehaviorSubstance-Related DisordersAdolescentEthnicityHumansRisk-TakingAdolescenceGeneralizabilityNational surveyReproducibilityRisk-taking

Identifiers

PMID38085210
PMCPMC12372624
OpenAlexW4389572374

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.