Evidence map›Paper›PMID 37252134›Full record

ArticleFrontiers in psychiatry2023

Evaluating longitudinal relationships between parental monitoring and substance use in a multi-year, intensive longitudinal study of 670 adolescent twins.

Jordan D Alexander, Samantha M Freis, Stephanie M Zellers, Robin Corley, Amy Ledbetter, Rachel K Schneider, Chanda Phelan, Hariharan Subramonyam, Maia Frieser, Gianna Rea-Sandin and 13 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Family functioning and adolescent risk perception of opioid misuse: A cross-sectional study.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2026
    Article
  2. 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

23 authors at 5 institutions in 2 countries.

Jordan D AlexanderPsychology Department, University of Minnesota, Minneapolis, MN, United States.
Samantha M FreisInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Stephanie M ZellersInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Robin CorleyInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Amy LedbetterInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Rachel K SchneiderPsychology Department, University of Minnesota, Minneapolis, MN, United States.
Chanda PhelanSchool of Information, University of Michigan, Ann Arbor, MI, United States.
Hariharan SubramonyamGraduate School of Education, Stanford University, Palo Alto, CA, United States.
Maia FrieserInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Gianna Rea-SandinPsychology Department, University of Minnesota, Minneapolis, MN, United States.
Michelle E StockerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Helen VernierInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Ming JiangDepartment of Computer Science, University of Minnesota, Minneapolis, MN, United States.
Yan LuoDepartment of Computer Science, University of Minnesota, Minneapolis, MN, United States.
Qi ZhaoDepartment of Computer Science, University of Minnesota, Minneapolis, MN, United States.
Sally Ann RheaInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
John HewittInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Monica LucianaPsychology Department, University of Minnesota, Minneapolis, MN, United States.
Matt McGuePsychology Department, University of Minnesota, Minneapolis, MN, United States.
Sylia WilsonInstitute of Child Development, University of Minnesota, Minneapolis, MN, United States.
Paul ResnickSchool of Information, University of Michigan, Ann Arbor, MI, United States.
Naomi P FriedmanInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.
Scott I VriezePsychology Department, University of Minnesota, Minneapolis, MN, United States.
University of Minnesota · USUniversity of Colorado Boulder · USUniversity of Michigan–Ann Arbor · USPalo Alto University · USUniversity of Helsinki · FI

Funding

Research Training: Mental Health Behavior GeneticsT32MH016880 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI Naomi P. Friedman, Matthew Charles Keller · 1985 to 2026
$5.3M
A Twin Study of Adolescent Alcohol and Drug Use Development: Leveraging Intensive Longitudinal AssessmentsU01DA046413 · NIDA · UNIVERSITY OF MINNESOTA · PI FRIEDMAN, NAOMI P., VRIEZE, SCOTT IAN · 2018 to 2022
$2.7M
Training in genetic and neurobehavioral mechanisms of addictionT32DA050560 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Scott Ian Vrieze · 2020 to 2026
$2.0M
NIDA NIH HHS T32 DA050560NIDA NIH HHS U01 DA046413NIMH NIH HHS T32 MH016880
6 · The paper itself

Abstract

Introduction: Parental monitoring is a key intervention target for adolescent substance use, however this practice is largely supported by causally uninformative cross-sectional or sparse-longitudinal observational research designs. Methods: We therefore evaluated relationships between adolescent substance use (assessed weekly) and parental monitoring (assessed every two months) in 670 adolescent twins for two years. This allowed us to assess how individual-level parental monitoring and substance use trajectories were related and, via the twin design, to quantify genetic and environmental contributions to these relationships. Furthermore, we attempted to devise additional measures of parental monitoring by collecting quasi-continuous GPS locations and calculating a) time spent at home between midnight and 5am and b) time spent at school between 8am-3pm. Results: ACE-decomposed latent growth models found alcohol and cannabis use increased with age while parental monitoring, time at home, and time at school decreased. Baseline alcohol and cannabis use were correlated ( Discussion: Overall, we found developmental changes in each phenotype, baseline correlations between substance use and parental monitoring, co-occurring changes and mutual genetic influences for time at home and cannabis use, and substantial genetic influences on many substance use and parental monitoring phenotypes. However, our geospatial variables were mostly unrelated to parental monitoring, suggesting they poorly measured this construct. Furthermore, though we did not detect evidence of genetic confounding, changes in parental monitoring and substance use were not significantly correlated, suggesting that, at least in community samples of mid-to-late adolescents, the two may not be causally related.

Indexed as

adolescencealcoholbehavioral geneticscannabisGPSintensive longitudinal assessmentparental monitoring

Identifiers

PMID37252134
PMCPMC10213319
OpenAlexW4378746124

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.