Evidence map›Paper›PMID 37746313›Full record

ArticleInternational journal of behavioral development2023

Exploring effects of multi-level factors on transitions of risk-taking behaviors among middle-to-late adolescents.

Yan Guo, Yinmei Yang, Lynette Deveaux, Veronica Dinaj-Koci, Elizabeth Schieber, Carly Herbert, JungAe Lee, Bo Wang

Open access · greenAbstract read
In one paragraph

Article in International journal of behavioral development, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

8 authors at 3 institutions in 2 countries.

Yan GuoDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA 01605, USA.
Yinmei YangSchool of Public Health, Wuhan University, Wuhan, Hubei, China.
Lynette DeveauxOffice of HIV/AIDS, Ministry of Health, Shirley Street, Nassau, The Bahamas.
Veronica Dinaj-KociDepartment of Pediatrics, Wayne State University, Detroit, MI 48202, USA.
Elizabeth SchieberDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA 01605, USA.
Carly HerbertDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA 01605, USA.
JungAe LeeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA 01605, USA.
Bo WangDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 368 Plantation Street, Worcester, MA 01605, USA.
University of Massachusetts Boston · USWayne State University · USWuhan University · CN

Funding

National Implementation of FOYC+CImPACT in the Bahamas: implementation strategies and improved outcomes.R01HD095765 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI JEROAN J ALLISON, Nikkiah Meoshi Forbes · 2018 to 2026
$4.6M
Evidence-based multi level risk reduction for Bahamian mid-adolescentsR01MH069229 · NIMH · WAYNE STATE UNIVERSITY · PI STANTON, BONITA FRANCES · 2004 to 2013
$4.3M
NICHD NIH HHS R01 HD095765NIMH NIH HHS R01 MH069229
6 · The paper itself

Abstract

Adolescents experiment with risk behaviors, including delinquency, substance use, and sexual activity. Multi-level social factors, such as having high-risk peers, neighborhood risks, and parental monitoring, influence adolescents' behaviors. We modeled transition patterns in Bahamian adolescents' risk behaviors across three high school years and examined the effects of multi-level factors. We collected data from 2,564 Bahamian adolescents in Grade 10 and follow-ups through Grade 12. We used latent transition model to identify adolescents' risk statuses. Further analyses used multinomial logistic regression to explore the effects of multi-level factors on assignment to those latent statuses and transitions. We identified four distinct statuses: "low risk" (47.9% of the sample at baseline), "alcohol use" (36.8%), "alcohol use and sexual activity" (5.5%), and "high risk" (9.8%). Males were more likely to be in higher-risk statuses at baseline and to transition from a lower-risk status in Grade 10 to a higher-risk status in Grade 11. Social risk factors were significantly associated with higher-risk statuses at baseline. Neighborhood risk and peer risk involvement continued to affect transitions from lower to higher risk; parental monitoring did not have a significant effect in later years. Our findings have important implications for developing targeted and developmentally appropriate interventions to prevent and reduce risk behaviors among middle-to-late adolescents.

Indexed as

Latent transition analysisMiddle-to-late adolescenceNeighborhood riskParental monitoringPeer risk involvementThe Bahamas

Identifiers

PMID37746313
PMCPMC10516360
OpenAlexW4315702735

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.