Cohabitation and Marriage Among Same-Sex Couples in the 2019 ACS and CPS: A Research Note.

Since the 2015 U.S. Supreme Court ruling that marriages of same-sex couples are legal in all states in the union, federal surveys have adapted to the shifting legal climate and included new measures that more directly identify same-sex and different-sex cohabiting and married couples. In this research note comparing the largest and most recent federal surveys-the 2019 American Community Survey and Current Population Survey-we find consistent levels of cohabitation and marriage across surveys. While the vast majority (90%) of different-sex couples were married, we report a more even split in cohabitation and marriage among same-sex couples. Our evaluation of sociodemographic characteristics of married and cohabiting couples indicates that differences were less prominent among same-sex couples than among different-sex couples, suggesting weaker sociodemographic selection into marriage among the former. However, factors affecting same-sex and different-sex couples' decisions to live together and marry may differ because of legal and social climates that still present unique obstacles for same-sex couples. Researchers need to acknowledge these differences in assessments of the implications of marriage for health and well-being.

Identifying psychological responses of stigmatized groups to referendums.

Public votes and referendums on the rights of marginalized communities are utilized in 27 states and occur with some regularity. However, research has only recently begun to examine the psychological consequences of these voter referendums for members of stigmatized groups, and a number of important questions remain regarding the internal validity and generalizability of the existing evidence. The current study advances this literature by combining survey data from a large probability-based sample conducted in 2012 [lesbian, gay, bisexual, and/or transgender (LGBT) n = 939; non-LGBT n = 31,067] with media market ad-buy data in states where marriage equality was on the ballot. Television media markets cross state boundaries, ensuring that there was an unintended group of people in 12 states who were exposed to the same-sex marriage discourse but who did not live in states with the voter referendum ("media market spillovers"). We take advantage of this unique data structure by comparing LGBT people in the media market spillovers to those residing in the same state but in nonspillover markets with no ad exposure. LGBT people are emotionally affected by these campaigns, and non-LGBT people are unaffected. LGBT people in markets with a cumulative total of 400 ads have a 34.0% greater probability of reporting stress than LGBT people not exposed to ads. Additionally, while the negative ads evoked sadness, positive ads evoked enjoyment and happiness. Thus, public votes on minority rights represent both a source of minority stress and resilience.

HIV prevalence rates among men who have sex with men in the southern United States: population-based estimates by race/ethnicity.

States across the U.S. lack effective ways to quantify HIV prevalence rates among men who have sex with men (MSM). We estimated population-based HIV prevalence rates among MSM in the 17 southern states by race/ethnicity. Through 2007, estimated HIV prevalence rates per 100,000 MSM ranged from 2,607.6 among white (non-Hispanic) MSM in Maryland to 41,512.9 among black (non-Hispanic) MSM in the District of Columbia. Black MSM rates significantly exceeded Hispanic and white MSM rates in each state. Significant racial/ethnic disparities in rates persisted in a sensitivity analysis examining the possibility that minority MSM populations had been underestimated in each state. Compared with black, Hispanic, and white non-MSM males, respectively, rates at the regional level were 25.2 times higher for black MSM, 43.0 times higher for Hispanic MSM, and 106.0 times higher for white MSM. State-level analysis of racial/ethnic-specific MSM HIV prevalence rates can help guide resource allocation and assist advocacy.

Statewide estimation of racial/ethnic populations of men who have sex with men in the U.S.

OBJECTIVES: Men who have sex with men (MSM) bear the greatest burden of human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) in every state in the U.S., but their populations are poorly defined. We estimated and compared populations of MSM in 2007 by region, state, and race/ethnicity. METHODS: We averaged findings from two statistical models we had previously developed to estimate the total state-specific percentage and number of males who were MSM. The models were based, respectively, on state-specific rural/ suburban/urban characteristics and an index using state-specific household census data on same-sex male unmarried partners. A third model, based on racial/ethnic ratios from a nationally representative behavioral survey, partitioned these statewide numbers by race/ethnicity. RESULTS: Of an estimated 7.1 million MSM residing in the U.S. in 2007, 71.4% (5.1 million) were white, 15.9% (1.1 million) were Hispanic, 8.9% (635,000) were black, 2.7% (191,000) were Asian, 0.4% (26,000) were American Indian/Alaska Native, 0.1% (6,000) were Native Hawaiian/other Pacific Islander, and 0.6% (41,000) were of multiple/unknown race/ethnicity. The overall U.S. percentage of males who were MSM (6.4%) varied from 3.3% in South Dakota to 13.2% in the District of Columbia, which we treated as a state. Estimated numbers of MSM ranged from 9,612 in Wyoming to 1,104,805 in California. CONCLUSIONS: Plausible estimates of MSM populations by state and race/ethnicity can inform and guide HIV/AIDS surveillance, allocation of resources, and advocacy. They can help in the planning, implementation, and evaluation of HIV prevention programs and other services. Using MSM numbers as denominators, estimates of population-based MSM HIV incidence, prevalence, and mortality rates could help clarify national and state-level epidemic dynamics. Until corroborated by other modeling and/or empirical research, these estimates should be used with caution.

Estimating populations of men who have sex with men in the southern United States.

Population estimates of men who have sex with men (MSM) by state and race/ethnicity are lacking, hampering effective HIV epidemic monitoring and targeting of outreach and prevention efforts. We created three models to estimate the proportion and number of adult males who are MSM in 17 southern states. Model A used state-specific census data stratified by rural/suburban/urban area and national estimates of the percentage MSM in corresponding areas. Model B used a national estimate of the percentage MSM and state-specific household census data. Model C partitioned the statewide estimates by race/ethnicity. Statewide Models A and B estimates of the percentages MSM were strongly correlated (r = 0.74; r-squared = 0.55; p < 0.001) and had similar means (5.82% and 5.88%, respectively) and medians (5.5% and 5.2%, respectively). The estimated percentage MSM in the South was 6.0% (range 3.6-13.2%; median, 5.4%). The combined estimated number of MSM was 2.4 million, including 1,656,500 (69%) whites, 339,400 (14%) blacks, 368,800 (15%) Hispanics, 34,600 (1.4%) Asian/Pacific Islanders, 7,700 (0.3%) American Indians/Alaska Natives, and 11,000 (0.5%) others. The estimates showed considerable variability in state-specific racial/ethnic percentages MSM. MSM population estimates enable better assessment of community vulnerability, HIV/AIDS surveillance, and allocation of resources. Data availability and computational ease of our models suggest other states could similarly estimate their MSM populations.

Changes in sexual risk behavior as young men transition to adulthood.

CONTEXT: Understanding how young men's sexual risk behaviors change during the transition from adolescence to early adulthood is important for the design and evaluation of effective strategies to reduce the transmission of HIV and other STDs. METHODS: Data from three waves of the National Survey of Adolescent Males (1988, 1991 and 1995) were used to categorize 1,880 respondents into clusters according to sexual risk behaviors. Univariate and bivariate analyses were conducted to assess associations between clusters and rates of self-reported STD diagnoses and positive chlamydia tests. RESULTS: Two dimensions of sexual risk-taking defined the clusters: partner characteristics and condom use. More than 50% of men remained in low-risk groups over time. In the first two waves, 24-32% of men reported engaging in high-risk behaviors (risky partners, condom nonuse); these behaviors were associated with elevated levels of STD outcomes. Nearly 40% of men who entered a high-risk group in the first two waves transitioned to a lower risk group by the third wave. Nine percent of men either engaged in increasingly risky behaviors or maintained membership in high-risk groups; elevated STD rates characterized both trajectories. Low condom use combined with having multiple partners during adolescence was associated with elevated STD rates in the year preceding the third wave; high condom use coupled with having risky partners was not. CONCLUSIONS: The prominence of low-risk behaviors over time suggests that most young men avoid sexual risk-taking. Effective strategies to reduce HIV and STD risk in young men must simultaneously address multiple dimensions of sexual behavior.

Gay and lesbian partnership: evidence from California.

Much recent research on sexual minorities has used couples-based samples, which--by construction--provide no information on nonpartnered individuals. We present the first systematic empirical analysis of partnership and cohabitation among self-identified gay men and lesbians using two independent, large, population-wwbased data sources from California. These data indicate that 37%-46% of gay men and 51%-62% of lesbians aged 18-59 are in cohabiting partnerships (compared with 62% of heterosexual individuals in coresidential unions at comparable ages). Unlike previous research, we find that white and highly educated gay men and lesbians are more likely to be partnered, and we confirm that same-sex cohabiting partners in our data have demographic characteristics that are similar to California same-sex couples from Census 2000. We also present the first detailed analysis of officially registered domestic partnerships in California. We find that almost half of partnered lesbians are officially registered with the local or state government, while less than a quarter of partnered gay men are officially registered. We conclude with implications of our findings for couples-based research on gay men and lesbians, as well as recommendations for survey data collection.

An HIV prevalence-based model for estimating urban risk populations of injection drug users and men who have sex with men.

Issues of cost and complexity have limited the study of the population sizes of men who have sex with men (MSM) and injection drug users (IDUs), two groups at clearly increased risk for human immunodeficiency virus (HIV) and other acute and chronic diseases. We developed a prototypical, easily applied estimation model for these populations and applied it to Miami, Florida. This model combined HIV prevalence estimates, HIV seroprevalence rates, and census data to make plausible estimates of the number and proportion of MSM and IDUs under a number of assumptions. Sensitivity analyses were conducted to test the robustness of the model. The model suggests that approximately 9.5% (plausible range 7.7%-11.3%) of Miami males aged 18 years or older are MSM (point estimate, N = 76,500), and 1.4% (plausible range 0.9%-1.9%) of the total population aged 18 years or older are IDUs (point estimate, N = 23,700). Males may be about 2.5 times more likely than females to be IDUs. The estimates were reasonably robust to biases. The model was used to develop MSM and IDU population estimates in selected urban areas across Florida and should be replicable in other medium-to-large urban areas. Such estimates could be useful for behavioral surveillance and resource allocation, including enhanced targeting of community-based interventions for primary and secondary HIV prevention.