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School Disengagement as a Predictor of Dropout, Delinquency, and Problem Substance Use During Adolescence and Early Adulthood
Open accessAbstract
Over the past 5 years, a great deal of attention has been paid to the development of early warning systems for dropout prevention. These warning systems use a set of indicators based on official school records to identify youth at risk for dropout and then appropriately target intervention. The current study builds on this work by assessing the extent to which a school disengagement warning index predicts not only dropout but also other problem behaviors during middle adolescence, late adolescence, and early adulthood. Data from the Rochester Youth Development Study (N = 911, 73% male, 68% African American, and 17% Latino) were used to examine the effects of a school disengagement warning index based on official 8th and 9th grade school records on subsequent dropout, as well as serious delinquency, official offending, and problem substance use during middle adolescence, late adolescence, and early adulthood. Results indicate that the school disengagement warning index is robustly related to dropout as well as serious problem behaviors across the three developmental stages, even after controlling for important potential confounders. High school dropout mediates the effect of the warning index on serious problem behaviors in early adulthood.
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“In addition, the spectrum can account for the developmental history often surrounding SA/A in particular student, which can deteriorate over time in stages from full attendance to full absence (Henry et al., 2012).”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as Henry et al., 2012
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Metadata
- Authors
- Henry, K. L., Knight, K. E., & Thornberry, T. P.
- Affiliations
- Colorado State University (US)
- Sam Houston State University (US)
- University of Maryland, College Park (US)
- Corresponding author
- Henry, Kimberly L.
- Venue
- Journal of Youth and Adolescence
- Published
- 2011-04-27
- Volume
- 41
- Issue
- 2
- Pages
- 156-166
- ISSN
- 0047-2891 (ISSN-L)
- 1573-6601
- PMC
- PMC4516271
- OpenAlex
- W2036191864
- Cited by
- 626
- References
- 38
- Citations by year
- 2026: 37 · 2025: 41 · 2024: 33 · 2023: 35 · 2022: 51 · 2021: 40 · 2020: 66 · 2019: 52 · 2018: 49 · 2017: 53 · 2016: 57 · 2015: 43 · 2014: 38 · 2013: 20 · 2012: 7
- FWCI
- 70.71
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Youth and Adolescence (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5p30hd032041-05, 5r01da020195-23)
- University at Albany
- National Institute on Drug Abuse (R01DA005512, K01DA017810, R01DA020195))
- Office of Juvenile Justice and Delinquency Prevention
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30 HD32041)
- Topics
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Education › Educational Outcomes and Influences
- Social Sciences › Psychology › Developmental and Educational Psychology › Youth Development and Social Support
- Keywords
- school disengagement, high school dropout, early warning systems, serious delinquency, offending, problematic substance use, adolescent behavior problems, early adulthood, middle adolescence, late adolescence, Rochester Youth Development Study, student records
- MeSH terms
- Adolescent, Black or African American, Female, Hispanic or Latino, Humans, Interpersonal Relations, Juvenile Delinquency, Male, Morals, Peer Group, Residence Characteristics, Risk Factors, Risk-Taking, Schools, Social Environment, Social Values, Student Dropouts, United States, Urban Population, Violence, Substance-Related Disorders, Black People
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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