Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 797

The DOI matches its Crossref record.

The Association Between Health Risk Behaviors and Sexual Orientation Among a School-based Sample of Adolescents

Garofalo, Robert, Wolf, R. Cameron, Kessel, Shari, Palfrey, Judith, DuRant, Robert H.·1998·Pediatrics

Abstract

Objective. This study is one of the first to examine the association between sexual orientation and health risk behaviors among a representative, school-based sample of adolescents. Design. This study was conducted on an anonymous, representative sample of 4159 9th- to 12th-grade students in public high schools from Massachusetts' expanded Centers for Disease Control and Prevention 1995 Youth Risk Behavior Survey. Sexual orientation was determined by the following question: “Which of the following best describes you?” A total of 104 students self-identified as gay, lesbian, or bisexual (GLB), representing 2.5% of the overall population. Of GLB youth, 66.7% were male and 70% were white (not Hispanic). Health risk and problem behaviors were analyzed comparing GLB youth and their peers. Those variables found to be significantly associated with GLB youth were then analyzed by multiple logistic regression models. Results. GLB youth were more likely than their peers to have been victimized and threatened and to have been engaged in a variety of risk behaviors including suicidal ideation and attempts, multiple substance use, and sexual risk behaviors. Four separate logistic regression models were constructed. Model I, Onset of Behaviors Before Age 13, showed use of cocaine before age 13 years as strongly associated with GLB orientation (odds ratio [OR]: 6.10; 95% confidence interval [CI] = 2.45–15.20). Early initiation of sexual intercourse (2.15; 10.6–4.38), marijuana use (1.98; 1.04–4.09), and alcohol use (1.82; 1.03–3.23) also was associated with GLB orientation. Model II, Lifetime Frequencies of Behaviors, showed that frequency of crack cocaine use (1.38; 1.06–1.79), inhalant use (1.30; 1.05–1.61), and number of sexual partners (1.27; 1.06–1.43) was associated with GLB orientation. Model III, Frequency of Recent Behaviors, showed smokeless tobacco use in the past 30 days (1.38; 1.20–1.59) and number of sexual partners in the previous 3 months (1.47; 1.31–1.65) were associated with GLB orientation. Model IV, Frequency of Behaviors at School, showed having one's property stolen or deliberately damaged (1.23; 1.08–1.40) and using marijuana (1.29; 1.05–1.59) and smokeless tobacco (1.53; 1.30–1.81) were associated with GLB orientation. Overall, GLB respondents engaged disproportionately in multiple risk behaviors, reporting an increased mean number of risk behaviors (mean = 6.81 ± 4.49) compared with the overall student population (mean = 3.45 ± 3.15). Conclusion. GLB youth who self-identify during high school report disproportionate risk for a variety of health risk and problem behaviors, including suicide, victimization, sexual risk behaviors, and multiple substance use. In addition, these youth are more likely to report engaging in multiple risk behaviors and initiating risk behaviors at an earlier age than are their peers. These findings suggest that educational efforts, prevention programs, and health services must be designed to address the unique needs of GLB youth.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1542/peds.101.5.895

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 797

Metadata

Authors
Garofalo, R., Wolf, R. C., Kessel, S., Palfrey, J., & DuRant, R. H.
Venue
Pediatrics
Published
1998-05-01
Volume
101
Issue
5
Pages
895-902
ISSN
  • 0031-4005 (ISSN-L)
  • 1098-4275
OpenAlex
W2112997629
Cited by
797
References
0
FWCI
50.84
Type
journal article
Language
en
Open access
closed

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Association Between Health Risk Behaviors and Sexual Orientation Among a School-based Sample of Adolescents. https://app.cochat.ai/papers/10.1542/peds.101.5.895
The paper
Garofalo, R., Wolf, R. C., Kessel, S., Palfrey, J., & DuRant, R. H. (1998). The Association Between Health Risk Behaviors and Sexual Orientation Among a School-based Sample of Adolescents. Pediatrics. https://doi.org/10.1542/peds.101.5.895

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.