Evidence map›Paper›PMID 34647192›Full record

ArticleJournal of youth and adolescence2022

Electronic Teen Dating Violence Curves by Age.

Elyse J Thulin, Marc A Zimmerman, Yasamin Kusunoki, Poco Kernsmith, Joanne Smith-Darden, Justin E Heinze

Abstract read
In one paragraph

Article in Journal of youth and adolescence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Age-Related Patterns in Child-to-Parent Violence Across Adolescence and Emerging Adulthood.European journal of investigation in health, psychology and education · 2026
    Article
  4. Article
  5. Unpacking the consequences of adolescent dating violence victimization: Adult victimization and perpetration across intimate and non-intimate contexts.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors.

Elyse J ThulinUniversity of Michigan School of Public Health, Department of Health Behavior & Health Education, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. ethulin@umich.edu.ORCID http://orcid.org/0000-0003-1724-4258
Marc A ZimmermanUniversity of Michigan, School of Public Health, 3702 SPH I, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Yasamin KusunokiUniversity of Michigan, School of Nursing, 400 North Ingalls Building, Ann Arbor, MI, 48109, USA.
Poco KernsmithWayne State University, School of Social Work, 5447 Woodward Ave., Detroit, MI, 48202, USA.
Joanne Smith-DardenMichigan State University, School of Social Work, 655 Auditorium Road, East Lansing, MI, 48824, USA.
Justin E HeinzeUniversity of Michigan School of Public Health, Department of Health Behavior & Health Education, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.

Funding

Strengthening Supports for Healthy Relationships: A Gender-Sensitive, Mixed MethoU01CE002115 · CE · WAYNE STATE UNIVERSITY · PI KERNSMITH, POCO · 2012 to 2014
$1.0M
Electronic Dating Abuse: A longitudinal examination of precursors and sequelaeR03HD095053 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLEMING, PAUL JOSEPH · 2019 to 2020
$169k
NCIPC CDC HHS U01 CE002115NCIPC CDC HHS U01CE002115-01NCIPC CDC HHS U01 CE002698NICHD NIH HHS R03 HD095053
6 · The paper itself

Abstract

Electronic dating violence is a form of violence perpetrated through electronics between dating partners and is associated with worse mental health, greater risk of substance use, and increased risk of in-person forms of dating violence. Though prevalent and seeming to increase in occurrence across adolescence, little is known about trajectories of electronic dating violence throughout adolescence and both risk and protective factors predicting a given trajectory. Latent growth models were used to evaluate change over time in three specific domains of electronic dating violence: harassment, coercion, and monitoring. Data are drawn from two cohorts who were surveyed annually for four years (2013-2017) from age 12 to 15 (n = 543; 48.3% female) and 15 to 18 (n = 597, 46.6% female), respectively. For all three domains of electronic dating violence, a quadratic model fit best. In general, electronic dating violence increased from early adolescence until a peak around age 16 or 17, and then leveled off. Threat-based adverse childhood experiences (i.e., exposure to physical child abuse, parental intimate partner violence, etc.) and earlier engagement in dating behaviors increased long-term risk for both age cohorts. Protective factors such as parental monitoring decreased risk but seemed to only have protective influence at developmentally-specific periods (i.e., during the developmental period of early adolescence). A better understanding of the risk and protective factors that affect the increase of electronic dating violence during adolescence is necessary to develop effective age-appropriate prevention and intervention strategies for youth.

Indexed as

Adolescent BehaviorCrime VictimsIntimate Partner ViolenceAdolescentChildElectronicsFemaleHumansMaleViolenceAdolescenceCyber dating violenceDating violenceDevelopmental trajectoryElectronic dating violenceRelationships

Identifiers

PMID34647192
PMCPMC12211239

What OpenQuestion holds

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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.