Sexual health programming for vulnerable youth: Improving knowledge, attitudes, and behaviors
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Effective prevention plans actively engage adolescents, offering educational and age-appropriate knowledge, shaping specific attitudes and self-efficacy, and teaching specific skills, such as behaviors that reduce risks, coping strategies, and problem-solving.
“Effective prevention plans actively engage adolescents, offering educational and age-appropriate knowledge, shaping specific attitudes and self-efficacy, and teaching specific skills, such as behaviors that reduce risks, coping strategies, and problem-solving (Boustani et al., 2017).”
From A Preventive Intervention to Reduce Risk of Online Grooming Among Adolescents (2022) · cites this paper as Boustani et al., 2017
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References 73 · Cited by 18
- Authors
- Boustani, M. M., Frazier, S. L., & Lesperance, N.
- Affiliations
- Florida International University (US)
- Corresponding author
- Boustani, Maya M.
- Venue
- Children and Youth Services Review
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 73
- Pages
- 375-383
- ISSN
- 0190-7409 (ISSN-L)
- OpenAlex
- W2573891591
- Cited by
- 18
- References
- 73
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 2 · 2018: 2
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Children and Youth Services Review (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Adolescent Sexual and Reproductive Health
- Social Sciences › Safety Research › Child Welfare and Adoption
- Social Sciences › Psychology › Social Psychology › LGBTQ Health, Identity, and Policy
- Keywords
- sex education, foster youth, at-risk youth, adolescent pregnancy, condom use, sexual risk behavior, program adaptation, temporary shelters, housing instability, sexual health knowledge, self-efficacy
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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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