The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Truancy’s Effect on the Onset of Drug Use among Urban Adolescents Placed at Risk
Abstract
Purpose To examine the relationship between truancy and the onset of drug use.Methods Discrete time survival analysis was used to assess the effect of truancy on initiation of drug use after adjusting for several potential confounders from age 11 to 15 years, using data from the Denver Youth Survey, a longitudinal sample of youth who grew up in socially disorganized neighborhoods of Denver, CO.Results In this population, truancy was a significant predictor of initiation of alcohol, tobacco, and marijuana use. The robust effect of truancy persisted after controlling for potential confounders, including school performance, school isolation, association with delinquent peers, personal delinquent values, parental monitoring, and family attachment.Conclusions Although this study cannot point to a causal relationship, we argue that the effect may be at least in part due to the unsupervised, unmonitored time with peers that truancy affords a young person. Truancy prevention is a field of research that needs much more attention. Keeping youth in school every day is likely to have many beneficial effects, and effective truancy prevention efforts may also help to prevent or delay the onset of drug use among adolescents.
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“The correlation between high school absences and poor long-run outcomes, such as dropout, drug use, and criminal activity, is well documented (Rumberger and Rotermund, 2012;Hawkins et al., 1998;Henry and Huizinga, 2007;Loeber and Farrington, 2000;Rocque et al., 2017).”
From The short- and long-run impacts of secondary school absences (2021) · cites this paper as Henry and Huizinga, 2007
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Cited by
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School absenteeism and school refusal behavior in youth: A contemporary review
Kearney, C. A. (2008) · Clinical Psychology Review · doi:10.1016/j.cpr.2007.07.012 · Cited by 906
Henry, K. L., Knight, K. E., & Thornberry, T. P. (2012) · Journal of Youth and Adolescence · doi:10.1007/s10964-011-9665-3 · Cited by 626
Self-citationDifferentiation between school attendance problems: why and how?
Heyne, D., Gren-Landell, M., Melvin, G., & Gentle-Genitty, C. (2019) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2018.03.006 · Cited by 339
Kearney, C. A. (2008) · Educational Psychology Review · doi:10.1007/s10648-008-9078-3 · Cited by 280
A response to intervention model to promote school attendance and decrease school absenteeism
Kearney, C. A., & Graczyk, P. (2014) · Child & Youth Care Forum · doi:10.1007/s10566-013-9222-1 · Cited by 232
Metadata
- Authors
- Henry, K. L., & Huizinga, D. H.
- Affiliations
- Colorado State University (US)
- University of Colorado Boulder (US)
- Corresponding author
- Henry, Kimberly L.
- ORCID
- Henry, Kimberly L.
- Venue
- Journal of Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2007-04
- Volume
- 40
- Issue
- 4
- Pages
- 358.e9-358.e17
- ISSN
- 1054-139X (ISSN-L)
- OpenAlex
- W1997986275
- Cited by
- 149
- References
- 37
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 5 · 2023: 7 · 2022: 8 · 2021: 12 · 2020: 9 · 2019: 8 · 2018: 8 · 2017: 3 · 2016: 13 · 2015: 12 · 2014: 12 · 2013: 7 · 2012: 7
- FWCI
- 26.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Adolescent Health (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Drug Abuse (K01DA017810)
- Topics
- Social Sciences › Education › Youth Substance Use and School Attendance
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Keywords
- truancy, alcohol consumption, tobacco use, cannabis use, at-risk youth, parental supervision, family attachment, delinquent peer association, school isolation, truancy prevention
- MeSH terms
- Absenteeism, Adolescent, Adolescent Behavior, Child, Colorado, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Population Surveillance, Residence Characteristics, Urban Health, Causality, Confounding Factors, Epidemiologic, Proportional Hazards Models, Survival Analysis, Sex Distribution, Risk Assessment, Substance-Related Disorders
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