IntroductionResearch is needed on chronic health conditions among lesbian, gay, and bisexual populations. The objective of this study was to examine 10 diagnosed chronic conditions, and multiple (≥2) chronic conditions (MCC), by sexual orientation among US adults.MethodsThe 2013 National Health Interview Survey was used to generate age-adjusted prevalence rates and adjusted odds ratios of diagnosed chronic conditions and MCC for civilian, noninstitutionalized US adults who identified as gay/lesbian, straight, or bisexual, and separately for men and women. Chronic conditions were selected for this study on the basis of previous research.ResultsHypertension and arthritis were the most prevalent conditions for all groups. Gay/lesbian adults had a 4.7 percentage-point higher prevalence of cancer than bisexual adults, and a 5.6 percentage-point higher prevalence of arthritis and a 2.9 percentage point higher prevalence of hepatitis than straight adults. The prevalence of chronic obstructive pulmonary disease was 8.1 percentage points higher among bisexual adults than among gay/lesbian adults and 7.0 percentage points higher than among straight adults. These differences remained in the multivariate analyses. Additional differences were found in the sex-stratified analyses. No significant differences were found in MCC by sexual orientation.ConclusionAfter age adjustment and controlling for sociodemographic characteristics, only a few significant health disparities for diagnosed chronic conditions were found by sexual orientation, and none for MCC. However, for conditions where differences were found, magnitudes were relatively large. Further examination of these differences among gay/lesbian and bisexual adults could yield a better understanding of why these disparities exist.
Calls for remedies for the persistent scarcity of accurate, reliable, national, disaggregated health statistics on hard-to-survey populations are common, but solutions are rare. Survey strategies used in community and clinical studies of hard-to-survey populations often cannot be, and generally are not, implemented at the national level.
This essay presents a set of approaches, for use in combination with traditional survey methods in large-scale surveys of these populations, to overcome challenges in 2 domains: sampling and motivating respondents to participate. The first approach consists of using the American Community Survey as a frame, and the second consists of implementing a multifaceted community engagement effort.
We offer lessons learned from implementing these strategies in a national survey, some of which are relevant to all survey planners. We then present evidence of the quality of the resulting data set. If these approaches were used more widely, hard-to-survey populations could become more visible and accurately represented to those responsible for setting national priorities for health research and services.
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