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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
LGBT Health. Author manuscript; available in PMC 2015 March 24.
Published in final edited form as:
LGBT Health. 2014 March 24; 1(1): 42–49.
Published online 2013 July 29.
PMCID: PMC4123795
NIHMSID: NIHMS608289

Operational Definitions of Sexual Orientation and Estimates of Adolescent Health Risk Behaviors

Derrick D. Matthews, PhD, MPH,1 John R. Blosnich, PhD, MPH,2,3 Grant W. Farmer, MPH, MA,4 and Brian J. Adams, MPH1

Abstract

Purpose

Increasing attention to the health of lesbian, gay, and bisexual (LGB) populations comes with requisite circumspection about measuring sexual orientation in surveys. However, operationalizing these variables also requires considerable thought. This research sought to document the consequences of different operational definitions of sexual orientation by examining variation in health risk behaviors.

Methods

Using Massachusetts Youth Risk Behavior Survey data, we examined how operational definitions of sexual behavior and sexual identity influenced differences among three health behaviors known to disparately affect LGB populations: smoking, suicide risk, and methamphetamine use. Sexual behavior and sexual identity were also examined together to explore if they captured unique sources of variability in behavior.

Results

Estimates of health disparities changed as a result of using either sexual behavior or sexual identity. Youth who reported their sexual identity as “not sure” also had increased odds of health risk behavior. Disaggregating bisexual identity and behavior from same-sex identity and behavior frequently resulted in the attenuation or elimination of health disparities that would have otherwise been attributable to exclusively same-sex sexual minorities. Finally, sexual behavior and sexual identity explained unique and significant sources of variability in all three health behaviors.

Conclusion

Researchers using different operational definitions of sexual orientation could draw different conclusions, even when analyzing the same data, depending upon how they chose to represent sexual orientation in analyses. We discuss implications that these manipulations have on data interpretation and provide specific recommendations for best-practices when analyzing sexual orientation data collected from adolescent populations.

Keywords: adolescents, data analysis, health behavior, measurement, sexual orientation