Evidence map›Paper›PMID 42287600›Full record

ArticleJournal of prevention (2022)2026

Predicting Later Adolescent Risk Behaviors: Which Proximal Outcomes Matter?

Julius Anastasio, Russell Cole

Abstract read
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In one paragraph

Article in Journal of prevention (2022), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Julius AnastasioMathematica Inc, 600 Alexander Park, Suite 100, Princeton, NJ, USA. janastasio@mathematica-mpr.com.ORCID http://orcid.org/0000-0002-9300-1875
Russell ColeMathematica Inc, 600 Alexander Park, Suite 100, Princeton, NJ, USA.

Funding

Office of Population Affairs HHSP233201500035I/75P00120F37051
6 · The paper itself

Abstract

Prevention programs are often delivered before unhealthy risk behaviors emerge, yet their effectiveness is frequently judged by impacts on those distal behaviors. This creates a need for stronger evidence on proximal outcomes that predict later adolescent risk behaviors. We analyzed longitudinal survey data from approximately 1,100 youth in grades 9-12 who had received a relationship education program in 27 schools across seven U.S. states. The sample was 60% White, 23% Hispanic, and 49% girls. Outcome-specific regression models estimated associations between 30 posttest proximal outcomes and nine later sexual behavior and substance use outcomes over six months. Because analyses were exploratory, findings were interpreted with attention to effect-size magnitude, directional consistency, and theoretical coherence. Twenty-two proximal outcomes had statistically significant associations with one or more later behavioral outcomes. Sexual behavior associations were generally coherent and moderate in magnitude, whereas substance use associations were more often smaller, isolated, or theoretically inconsistent. Risky social media behavior emerged as the clearest cross-domain risk factor. Self-efficacy to use relationship skills and self-awareness about personal strengths and weaknesses showed the clearest protective patterns for sexual behavior outcomes. Intentions to have sex also showed directionally consistent negative associations across domains, although this pattern was contrary to prior expectations and was interpreted cautiously. These findings strengthen the evidence base on longitudinal predictors of adolescent risk behaviors and identify proximal outcomes that may be useful when direct assessment of later behavioral outcomes is infeasible or uninformative.

Indexed as

AdolescentsPregnancy preventionRisk and protective factorsSexual and reproductive healthSubstance use

Identifiers

What OpenQuestion holds

Textmetadata
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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.