Asking about Sexual Identity on the National Health Interview Survey: Does Mode Matter?

Privacy, achieved through self-administered modes of interviewing, has long been assumed to be a necessary prerequisite for obtaining unbiased responses to sexual identity questions due to their potentially sensitive nature. This study uses data collected as part of a split-ballot field test embedded in the National Health Interview Survey (NHIS) to examine the association between survey mode (computer-assisted personal interviewing (CAPI) versus audio computer-assisted self-interviewing (ACASI)) and sexual minority identity reporting. Bivariate and multivariate quantitative analyses tested for differences in sexual minority identity reporting and non-response by survey mode, as well as for moderation of such differences by sociodemographic characteristics and interviewing environment. No significant main effects of interview mode on sexual minority identity reporting or nonresponse were found. Two significant mode effects emerged in subgroup analyses of sexual minority status out of 35 comparisons, and one significant mode effect emerged in subgroup analyses of item nonresponse. We conclude that asking the NHIS sexual identity question using CAPI does not result in estimates that differ systematically and meaningfully from those produced using ACASI.

Sleep duration, sleep quality, and sexual orientation: findings from the 2013-2015 National Health Interview Survey.

INTRODUCTION: This study identifies associations between sleep outcomes and sexual orientation net of sociodemographic and health-related characteristics, and produces estimates generalizable to the US adult population. PARTICIPANTS/METHODS: We used 2013-2015 National Health Interview Survey data (46,909 men; 56,080 women) to examine sleep duration and quality among straight, gay/lesbian, and bisexual US adults. Sleep duration was measured as meeting National Sleep Foundation age-specific recommendations for hours of sleep per day. Sleep quality was measured by 4 indicators: having trouble falling asleep, having trouble staying asleep, taking medication to help fall/stay asleep (all ≥4 times in the past week), and having woken up not feeling well rested (≥4 days in the past week). RESULTS: In the adjusted models, there were no differences by sexual orientation in the likelihood of meeting National Sleep Foundation recommendations for sleep duration. For sleep quality, gay men were more likely to have trouble falling asleep, to use medication to help fall/stay asleep, and to wake up not feeling well rested relative to both straight and bisexual men. Gay/lesbian women were more likely to have trouble staying asleep and to use medication to help fall/stay asleep relative to straight women. Finally, bisexual women were more likely to have trouble falling and staying asleep relative to straight women. CONCLUSIONS: Sexual minority women and gay men report poorer sleep quality compared with their straight counterparts.

Sexual Orientation and Health Information Technology Use: A Nationally Representative Study of U.S. Adults.

PURPOSE: The purpose of this study was to compare the prevalence and odds of participation in online health-related activities among lesbian, gay, and bisexual adults and straight adults aged 18-64. METHODS: Primary data collected in the 2013 and 2014 National Health Interview Survey, a nationally representative household health survey, were used to examine associations between sexual orientation and four measures of health information technology (HIT) use. Data were collected through face-to-face interviews (some telephone follow-up) with 54,878 adults aged 18-64. RESULTS: Compared with straight men, both gay and bisexual men had higher odds of using computers to schedule appointments with healthcare providers, and using email to communicate with healthcare providers. Gay men also had significantly higher odds of seeking health information or participating in a health-related chat group on the Internet, and using computers to fill a prescription. No significant associations were observed between sexual orientation and HIT use among women in the multivariate analysis. CONCLUSIONS: Gay and bisexual men make greater use of HIT than their straight counterparts. Additional research is needed to determine the causal factors behind these group differences in the use of online healthcare, as well as the health implications for each group.

Passive Suicidal Ideation and Community Mental Health Resources in South Africa.

South African communities continue to experience elevated incidence and prevalence of HIV infection. Passive suicidal ideation (PSI) may be one expression of distress in high prevalence communities. We report the prevalence of PSI and examine the relationship between PSI and participation in community organizations in a semi-rural sample of South African adults (N = 594). The prevalence of PSI in the 2 weeks prior to the interview was 9.1 %. Members of burial societies (Χ (2) = 7.34; p = 0.01) and stokvels (Χ (2) = 4.1; p = 0.04) (community-based savings groups) reported significantly less PSI compared to other respondents. Using a multivariate model adjusted for demographic characteristics, psychological distress, and socioeconomic status, we found lower odds of reporting PSI for members of burial societies (OR 0.48, CI 0.25 -0.91). Participation in community organizations that provide contextually salient resources in settings with high levels of distress may be a resource for mental health.

Barriers to Health Care Among Adults Identifying as Sexual Minorities: A US National Study.

OBJECTIVES: To assess the extent to which lesbian, gay, and bisexual (LGB) adults aged 18 to 64 years experience barriers to health care. METHODS: We used 2013 National Health Interview Survey data on 521 gay or lesbian (291 men, 230 women), 215 bisexual (66 men, 149 women), and 25 149 straight (11 525 men, 13 624 women) adults. Five barrier-to-care outcomes were assessed (delayed or did not receive care because of cost, did not receive specific services because of cost, delayed care for noncost reasons, trouble finding a provider, and no usual source of care). RESULTS: Relative to straight adults, gay or lesbian and bisexual adults had higher odds of delaying or not receiving care because of cost. Bisexual adults had higher odds of delaying care for noncost reasons, and gay men had higher odds than straight men of reporting trouble finding a provider. By contrast, gay or lesbian women had lower odds of delaying care for noncost reasons than straight women. Bisexual women had higher odds than gay or lesbian women of reporting 3 of the 5 barriers investigated. CONCLUSIONS: Members of sexual minority groups, especially bisexual women, are more likely to encounter barriers to care than their straight counterparts.

Selected Diagnosed Chronic Conditions by Sexual Orientation: A National Study of US Adults, 2013.

INTRODUCTION: Research 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. METHODS: The 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. RESULTS: Hypertension 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. CONCLUSION: After 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.

Sexual orientation in the 2013 national health interview survey: a quality assessment.

Objective-This report presents a set of quality analyses of sexual orientation data collected in the 2013 National Health Interview Survey (NHIS). NHIS sexual orientation estimates are compared with those from the National Survey of Family Growth (NSFG) and the National Health and Nutrition Examination Survey (NHANES). Selected health outcomes by sexual orientation are compared between NHIS and NSFG. Assessments of item nonresponse, item response times, and responses to follow-up questions to the sexual orientation question are also presented. Methods-NHIS is a multipurpose health survey conducted continuously throughout the year by the Centers for Disease Control and Prevention's National Center for Health Statistics. Analyses in this report were based on NHIS data collected in 2013 from 34,557 adults aged 18 and over. Sampling weights were used to produce national estimates that are representative of the civilian noninstitutionalized U.S. adult population. Data from the 2006-2010 NSFG and 2009-2012 NHANES were used for the comparisons. Results-Based on the 2013 NHIS data, 96.6% of adults identified as straight, 1.6% identified as gay/lesbian, and 0.7% identified as bisexual. The remaining 1.1% of adults identified as ''something else,'' stated ''I don't know the answer,'' or refused to answer. Responses to follow-up questions suggest that the sexual orientation question is producing little classification error. In addition, largely similar patterns of association between sexual orientation and health were observed for NHIS and NSFG. Analyses of item nonresponse rates revealed few data quality issues, although item response times suggest possible shortcutting of the question and comprehension problems for select respondents.

Sexual orientation and health among U.S. adults: national health interview survey, 2013.

OBJECTIVE: To provide national estimates for indicators of health-related behaviors, health status, health care service utilization, and health care access by sexual orientation using data from the 2013 National Health Interview Survey (NHIS). METHODS: NHIS is an annual multipurpose health survey conducted continuously throughout the year. Analyses were based on data collected in 2013 from 34,557 adults aged 18 and over. Sampling weights were used to produce national estimates that are representative of the civilian noninstitutionalized U.S. adult population. Differences in health-related behaviors, health status, health care service utilization, and health care access by sexual orientation were examined for adults aged 18-64, and separately for men and women. RESULTS: Based on the 2013 NHIS data, 96.6% of adults identified as straight, 1.6% identified as gay or lesbian, and 0.7% identified as bisexual. The remaining 1.1% of adults identified as ''something else,'' stated ''I don't know the answer,'' or refused to provide an answer. Significant differences were found in health-related behaviors, health status, health care service utilization, and health care access among U.S. adults aged 18-64 who identified as straight, gay or lesbian, or bisexual. CONCLUSION: NHIS sexual orientation data can be used to track progress toward meeting the Healthy People 2020 goals and objectives related to the health of lesbian, gay, and bisexual persons. In addition, the data can be used to examine a wide range of health disparities among adults identifying as straight, gay or lesbian, or bisexual.

Prevalence of cardiovascular risk factors among racial and ethnic minorities with schizophrenia spectrum and bipolar disorders: a critical literature review.

OBJECTIVE: People with serious mental illness (SMI) die at least 11 years earlier than the general U.S. population, on average, due largely to cardiovascular disease (CVD). Disparities in CVD morbidity and mortality also occur among some U.S. racial and ethnic minorities. The combined effect of race/ethnicity and SMI on CVD-related risk factors, however, remains unclear. To address this gap, we conducted a critical literature review of studies assessing the prevalence of CVD risk factors (overweight/obesity, diabetes mellitus, metabolic syndrome, hypercholesterolemia, hypertension, cigarette smoking, and physical inactivity) among U.S. racial/ethnic groups with schizophrenia-spectrum and bipolar disorders. METHODS AND RESULTS: We searched MEDLINE and PsycINFO for articles published between 1986 and 2013. The search ultimately yielded 40 articles. There was great variation in sampling, methodology, and study populations. Results were mixed, though there was some evidence for increased risk for obesity and diabetes mellitus among African Americans, and to a lesser degree for Hispanics, compared to non-Hispanic Whites. Sex emerged as an important possible effect modifier of risk, as women had higher CVD risk among all racial/ethnic subgroups where stratified analyses were reported. CONCLUSIONS: Compared to general population estimates, there was some evidence for an additive risk for CVD risk factors among racial/ethnic minorities with SMI. Future studies should include longitudinal assessment, stratification by sex, subgroup analyses to clarify the mechanisms leading to potentially elevated risk, and the evaluation of culturally appropriate interventions to eliminate the extra burden of disease in this population.