ArticleJournal of community psychology2023
The prevalence and correlates of running away among adolescents in the United States.
Article in Journal of community psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Exploring Mental Health Barriers Among At-Risk Adolescents: An Integrative Analysis of Self-Reports and School Nurses' Perspectives.Behavioral sciences (Basel, Switzerland) · 2026Article
- Unaccompanied Homelessness Among High School Students Across Ten States: Prevalence and risk in multiple domains.Journal of social distress and the homeless · 2024Article
- Predictors for runaway behavior in adolescents in South Korea: national data from a comprehensive survey of adolescents.Frontiers in psychiatry · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Runaway youth may experience a myriad of challenges associated with significant risks to health and well-being. To examine the prevalence and correlates of running away from home among US youth. Annual US nationally representative samples of 8th and 10th graders between 2005 and 2017 from the Monitoring the Future study. Self-reports of nationally representative samples of 8th and 10th graders in the US Annual survey data from 8th and 10th graders spanning 2005-2017, n = 116,520. The primary outcome of this study, running away from home in the past 12 months, was examined using multivariable weighted logistic regression. Predictor measures included: parent and peer relationships, school factors (e.g., grade point average [GPA]), internalizing symptoms, externalizing behavior, and substance use (alcohol, marijuana, and cigarettes). Demographic measures in the model were grade level (8th or 10th), gender (boys or girls), parent education, and race/ethnicity. The annual prevalence of running away decreased significantly from 8.3% in 2005 to 6.1% in 2017. Demographically, running away from home was significantly lower among boys compared with girls. Multivariable logistic regression model results revealed that higher levels of parental involvement, GPA, and self-esteem are all significantly related to lower odds of running away from home. Having peers who drop out of school, going on more date nights, self-derogation, interpersonal aggression, sensation seeking, theft, and property damage, as well as past 12-month alcohol use, past 12-month marijuana use, and past 30-day cigarette use were all associated with higher odds of running away from home. Annual prevalence of running away from home has been decreasing, but still affects a large number of teens. Running away is associated with numerous challenges across social, behavioral, and health domains that can further negatively impact the health and well-being of this already vulnerable population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.