The older gay, lesbian and bisexual population

Sexually transmitted infections (STIs) are a major public health issue. Previous research shows the vulnerability of the homosexual and bisexual population, as well as the influence of economic, political, and cultural determinants. The aim of this study was to describe the socio-demographic healthcare profile and the main risk factors associated with STIs in homosexuals and bisexuals seen at the STI clinic in Granada (Spain) during the years 2000–2015. Infection prevalences were compared between the economic crisis period (2008–2014) and the rest of the years analysed. A cross-sectional observational and analytical study was conducted by reviewing 261 clinical records of individuals with suspected or present infection. Univariate, bivariate, and multivariate analyses were performed. 91.2% of the individuals were men, and 8.8% were women, with the mean age being 28.61 (SD = 9.35, Range = 17–74) years old. The prevailing sexual orientation identity was homosexual. 94.2% were single. The main reason for consultation was HIV. Differences in prevalence were found between crisis and non-crisis years (OR = 3.91; 95% CI = 1.73–9.19). In conclusion, their profile was that of a young, single man suspecting possible HIV infection. STI prevalence was significantly higher in the years of economic recession in comparison to the rest of the years.

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Cigar and smokeless tobacco use in the lesbian, gay, and bisexual population

Nicotine & Tobacco Research ◽

10.1080/14622200701488426 ◽

2007 ◽

Vol 9 (9) ◽

pp. 937-940 ◽

Cited By ~ 13

Author(s):

Elisabeth P. Gruskin ◽

Gregory L. Greenwood ◽

Marilyn Matevia ◽

Lance M. Pollack ◽

Larry L. Bye ◽

...

Keyword(s):

Tobacco Use ◽

Smokeless Tobacco ◽

Bisexual Population ◽

Smokeless Tobacco Use ◽

And Bisexual

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Sexual Diversity and Homophobia in Health Care Services: Perceptions of Homosexual and Bisexual Population in the Cross-Cultural Theory

Open Journal of Nursing ◽

10.4236/ojn.2016.66049 ◽

2016 ◽

Vol 06 (06) ◽

pp. 470-482 ◽

Cited By ~ 3

Author(s):

Grayce Alencar Albuquerque ◽

Glauberto da Silva Quirino ◽

Francisco Winter dos Santos Figueiredo ◽

Laércio da Silva Paiva ◽

Luiz Carlos de Abreu ◽

...

Keyword(s):

Health Care ◽

Health Care Services ◽

Cultural Theory ◽

Cross Cultural ◽

Sexual Diversity ◽

Care Services ◽

Bisexual Population ◽

The Cross ◽

And Bisexual

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Disparities in Smoking Between the Lesbian, Gay, and Bisexual Population and the General Population in California

American Journal of Public Health ◽

10.2105/ajph.2006.090258 ◽

2007 ◽

Vol 97 (8) ◽

pp. 1496-1502 ◽

Cited By ~ 109

Author(s):

Elisabeth P. Gruskin ◽

Gregory L. Greenwood ◽

Marilyn Matevia ◽

Lance M. Pollack ◽

Larry L. Bye

Keyword(s):

General Population ◽

Bisexual Population ◽

And Bisexual

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LGBT Diversity and Inclusion, Community Characteristics, and Success

Journal of Sport Management ◽

10.1123/jsm.2019-0338 ◽

2020 ◽

Vol 34 (6) ◽

pp. 533-541

Author(s):

George B. Cunningham ◽

Calvin Nite

Keyword(s):

National Collegiate Athletic Association ◽

State Level ◽

Interactive Effects ◽

Negative Effects ◽

Community Characteristics ◽

Diversity And Inclusion ◽

Bisexual Population ◽

Bisexual And Transgender ◽

And Bisexual ◽

Practical Implications

Drawing from concepts in institutional theory, the purpose of this study was to examine how community measures intersect with lesbian, gay, bisexual, and transgender inclusiveness to predict organizational success. The authors collected publicly available data about National Collegiate Athletic Association departments (N = 65) and their communities. Moderated regression analyses demonstrated significant interactive effects, such that performance was highest when the department followed an inclusive strategy and (a) the lesbian, gay, and bisexual population density was high and (b) the state-level implicit bias toward sexual minorities was low. Importantly, there were no negative effects in following an inclusive strategy, even when institutional logics did not prescribe such an approach. The models explained 60–62% of the variance in performance. The authors discuss theoretical and practical implications.

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