The largest database of trusted experimental protocols
> Living Beings > Population Group > Homosexuals

Homosexuals

Homosexuals are individuals who are sexually and/or romantically attracted to members of the same sex.
This term encompasses a diverse range of sexual orientations, including gay men, lesbian women, and individuals who identify as bisexual or pansexual.
Homosexuality is a natural variation of human sexuality, and is not a mental illness or disorder.
Homosexual individuals face unique health and social challenges due to stigma and discrimination, making research in this area crucial for improving LGBTQ+ health outcomes.
PubCompare.ai's cutting-edge AI-powered platform can help accelerate research by optimizing protocols and surfacing the best published studies, preprints, and patents on homosexuality across the literature.

Most cited protocols related to «Homosexuals»

The Multicenter AIDS Cohort Study (MACS) is an ongoing prospective cohort study of the natural and treated histories of HIV-1 infection in homosexual and bisexual men, conducted in Baltimore, Chicago, Pittsburgh and Los Angeles (17 (link)). Initial enrollment in the MACS parent study occurred in 1984–85, with additional enrollment in 1987–1991 and 2001–2003. The cohort includes both HIV-infected and uninfected men who attend semiannual research visits including standardized interviews, physical examinations and blood and urine collection for laboratory measurements.
Eligibility for this MACS cardiovascular ancillary study included being an active MACS participant (with oversampling of HIV-infected men), age 40–70 years, weight< 300 lbs, and no prior history of cardiac surgery or percutaneous coronary intervention, as these procedures would interfere with the measurement of coronary atherosclerosis. All participants completed non-contrast cardiac CT scanning for coronary artery calcium (CAC) scoring between January 2010 and August 2013. Men with atrial fibrillation, chronic kidney disease [estimated glomerular filtration rate (GFR)<60 ml/min/m2 during a prior MACS study visit] or a history of IV contrast allergy were excluded from CTA studies. All eligible CTA participants had an estimated GFR>60 ml/min/m2 within one month of CTA. The study was approved by the Institutional Review Boards of all participating sites. All participants signed informed consent for this MACS ancillary study.
Publication 2014
Acquired Immunodeficiency Syndrome Artery, Coronary Atrial Fibrillation Bisexuals BLOOD Calcium Cardiovascular System Chronic Kidney Diseases Coronary Arteriosclerosis Eligibility Determination Ethics Committees, Research First Aid Glomerular Filtration Rate Heart HIV-1 HIV Infections Homosexuals Hypersensitivity Infection Parent Percutaneous Coronary Intervention Physical Examination Surgical Procedure, Cardiac Urine Specimen Collection
We conducted a five-step process of literature search and review. First, we established what was already known, starting with a series of recent systematic reviews and meta-analyses that were identified through a comprehensive literature review conducted for a related project that also examined per-act HIV transmission risk and provided estimates of pooled per-act HIV transmission probabilities for blood transfusion [5 (link)], parenteral exposures [5 (link)], receptive anal intercourse [6 (link)], receptive penile–vaginal intercourse [7 (link)], insertive penile–vaginal intercourse [7 (link)], and mother-to-child transmission [8 (link)]. Each of these peer-reviewed studies included a comprehensive literature review and employed accepted and robust meta-analytic methods. We then reviewed the 2011 British Pre-exposure Prophylaxis Guidelines [9 (link)], which provided a summary table of per-act HIV transmission risks using estimated medians and ranges based largely on the results of the meta-analyses noted above.
Second, we conducted a literature search to identify data published after the publications noted above. We searched for human studies published in English language only between 1 January 2008 and 22 February 2012 within the following databases: Medline (Ovid), Embase (Ovid), CINAHL (EbscoHost), Web of Science, Global Health, and the Cochrane Library. We used the following search string: [‘HIV’ or ‘HIV infections’ or ‘human immunodeficiency virus’ or ‘AIDS’] and [’disease transmission’ or ‘infectious/infectivity/infectiousness’ or ‘transmissibility’ or ‘contact/contacts/per-contact’ or ‘per-act’] and [’sexual’ or ‘heterosexual’ or ‘homosexual’ or ‘coital’ or ‘intercourse’ or ‘anal’ or ‘oral’ or ‘blood transfusion’ or ‘needle-sharing’ or ‘needle stick’ or ‘perinatal’ or ‘mother to child’]. We highlighted data from developed regions to more closely reflect the US epidemic; this strategy was consistent with that used for the relevant meta-analyses, which did not pool data from developed and developing countries due to heterogeneity among studies, except for the per-act HIV-transmission risk from parenteral exposures, which is less geographically dependent. We used the results of this literature search to ensure that the above-mentioned meta-analyses were up to date. For the exposures for which there were no recent reviews or meta-analyses, we reviewed the literature cited in CDC’s last summary [1 ] and the 2011 British Pre-exposure Prophylaxis Guidelines [9 (link)]. We also contacted subject matter experts to ascertain whether other studies or unpublished data of which we were unaware existed.
Third, we reviewed the resulting abstracts to identify articles that mentioned HIV transmission or any type of transmission risk estimate, or described models that were used to generate these estimates, both among serodiscordant couples and MSM. Fourth, we reviewed the text and bibliographies of all those publications that met these criteria to identify additional sources of transmission-risk data. We synthesized the information from these first four steps to generate updated per-act transmission risk estimates. We favored pooled estimates with 95% confidence intervals (CIs) reported from the meta-analyses that either used fixed-effects models or that used random-effects models that adjusted for the heterogeneity between studies, because such models provide more robust transmission risk estimates than simple medians and ranges.
Lastly, we conducted a literature search of human studies in PubMed to identify articles about factors known to modify sexual HIV transmission risk published between 1 January 2008 and 13 May 2013. We used the following search strings: ‘HIV transmission’ and each of the following separately: ‘genital ulcer disease’, ‘circumcision’, ‘condom use’, ‘pre-exposure prophylaxis’, ‘acute HIV infection’, ‘acute stage of disease’, ‘viral load’, ‘treatment’, ‘early antiretroviral therapy’.
Publication 2014
Acquired Immunodeficiency Syndrome Acute Disease Anus Blood Transfusion cDNA Library Child Coitus Condoms Early Therapy Epidemics Genetic Heterogeneity Genital Diseases Heterosexuals HIV HIV Infections Homo sapiens Homosexuals Infection Insertion Mutation Male Circumcision Maternal-Fetal Infection Transmission Mothers Needlestick Injuries Parenteral Nutrition Penis Pre-Exposure Prophylaxis Transmission, Communicable Disease Ulcer
Two general dimensions of homosexual stigma were assessed: experienced and internalized stigma. The items in these variables were worded for male homosexuality only, not for transgender identity because of the technical difficulties and costs involved in changing the wording in CASI based on the respondent’s identity. Yet they were general enough to be applicable to GBT, and the number of transgender participants was relatively small (N = 94, 15%).
Experienced stigmatization was measured by 20 items reflecting events across the life span and across a variety of contexts (e.g., work environment, family) and actions (e.g., verbal and physical abuse, displacement). The response choices ranged from 1 = never to 4 = many times. Maximum likelihood exploratory factor analysis was conducted on this measure to determine the underlying factor structure, and the factors were rotated using the “promax” method to allow the factors to correlate. Appendix A presents all stigma factors, items, Cronbach’s alpha coefficients, and scale means and standard deviations. Four factors emerged: (1) childhood experiences of maltreatment, (2) adult harassment and abuse, (3) social rejection and maltreatment, and (4) family experiences. Intercor-relations among factors ranged from .50 to .60. Items from each factor were averaged to create four sub-scales.
Internalized stigmatization was assessed in a similar fashion. A total of 17 items comprise this measure. Results of factor analysis showed four factors: feelings of shame, blame, wanting to change one’s sexuality, and endorsement of normative masculinity (see Appendix A; factor inter-correlations range from .30 to .65).
Publication 2010
Abuse, Physical Adult Drug Abuse Feelings Homosexuals Masculinity Shame Transgendered Persons

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2009
Acquired Immunodeficiency Syndrome Anus Child Females Heterosexuals HIV HIV-1 HIV Infections Homosexuals Husband Males Mothers Transmission, Communicable Disease Wife
In both the Crew 450 and eDAPT samples, participants were asked a series of 22 items to assess experiences of IH. This investigator-adapted scale first used five items from the Homosexual Attitudes Inventory (Nungesser, 1983 ), which were adapted to be more interpretable for a youth population. This is a measure frequently used to assess IH (Grey et al., 2013 (link)) and this scale has been highly correlated with other measures of IH, including one that shows post-intervention decreases in IH (Lin & Istael, 2012 ). This scale included items such as, “Sometimes I wish I were not gay” and “Sometimes I feel ashamed of my sexual orientation.” Next, the investigative team added 17 items to the scale in order to capture a broader conceptualization of IH, including items that tapped into experiences of shame, self-blame, normative masculinity and desire to change sexual orientation (Ramirez-Valles, Kuhns, Campbell, & Diaz, 2010 (link)). Participants indicated how much they agreed with each statement on a 4-point Likert scale from Strongly Disagree to Strongly Agree. It was administered at each time point in the Crew 450 sample and at baseline in the eDAPT sample. Responses were averaged, so that higher scores indicated greater IH. Additional information on scale construction and reliability is subsequently presented.
Publication 2016
Concept Formation Crow Feelings Homosexuals Masculinity Sexual Orientation Shame Youth

Most recents protocols related to «Homosexuals»

The participants’ age ranged from 14 to 18 years. Most of the participants (36/50, 72%) identified their sex as female. Furthermore, 66% (33/50) of the participants identified as White, 12% (6/50) as African American or Black, 8% (4/50) as Asian, and 14% (7/50) as other. Of the 50 participants, 8 (16%) indicated Hispanic or Latinx origin. Participants also indicated their sexual orientation, of which 72% (36/50) identified as heterosexual and 18% (9/50) identified as bisexual. Homosexual, queer, and pansexual identities were indicated by 1 participant for each category, and 2 participants preferred not to answer. The sexual orientation of the sample was consistent with national demographic data [26 ]. Although 54% (27/50) of the sample was from Colorado, there were participants from 12 other states, including New York, Pennsylvania, California, Texas, Vermont, and Florida. Table 1 provides the detailed demographic information.
Full text: Click here
Publication 2023
African American Asian Americans Bisexuals Females Heterosexuals Hispanics Homosexuals Reproduction Sexual Orientation
Enquête Rapport au Sexe [report to sex] 2019 (ERAS 2019) was an anonymous, self-administered online cross-sectional survey conducted between February 16, 2019 and March 31, 2019. It aimed to evaluate MSM uptake of different HIV prevention tools (e.g., condoms, post-exposure prophylaxis, PrEP) in France over time.
Participants were recruited via social networks, LGBTQ+ (lesbian, gay, bisexual, transgender, queer/questioning) dating applications and sites, and online dating sites which use affinity questionnaires. Banners were also published via programmatic advertising platforms. Those exposed to the banners were men age 18 years and older who had searched online, browsed web pages, or liked content-related to male-male sexuality. Clicking on these banners directed people to a site dedicated to ERAS 2019, which included information on the survey's objectives, participation conditions, and data confidentiality. The inclusion criteria were that participants had to be male and age 18 years or older.
Publication 2023
Bisexuals Condoms estrogen receptor alpha, human Homosexuals Lesbians Males Post-Exposure Prophylaxis Transgendered Persons
Our two-phase sampling strategy will begin with a purposeful sampling frame across provinces and territories, rural and urban settings, gender, age (15–17, 19–22, and 23–25) and ethnicity. As data collection progresses, we will engage in additional theoretical sampling to confirm/disconfirm results, fill in data gaps, and refine our evolving theory.
Each participant will be offered an honorarium of $50 for their participation in an interview. We will collect data until we reach saturation by informational redundancy (new data repeats previous data) and have sufficient data to explain the phenomenon.57 (link) To ensure we have a diverse, information-rich sample, we will seek to saturate each subgroup in our purposeful sampling framework: rural and urban youth; those in each province and territory; immigrant, refugee and newcomer youth; disabled youth; Black, Indigenous and People of Colour; Two-Spirit, Lesbian, Gay, Bisexual, Transgender, Queer, Questioning, Asexual, Intersex youth. Based on analogous studies35 58 (link) we will likely conduct interviews with 10–15 youth per group, acknowledging that participants will have intersecting identities. We predict our sample of youth will thus be upwards of 100 total participants.
Publication 2023
Bisexuals Disabled Children Ethnicity Gender Homosexuals Immigrants Lesbians Reading Frames Refugees Transgendered Persons Youth
Los Angeles County is a large and diverse county that is more populous than 42 states in the United States. In Los Angeles County, 185 languages are spoken and 42% of residents are Spanish speakers [6 ]. Given the sheer size of Los Angeles County, we plan to target the campaign to communities with the highest rates of infection and the lowest vaccination rates. Using these criteria, we identified 34 zip codes located in the Eastside and South Los Angeles. A map of neighborhoods in these zip code areas (based on vaccination rates from May 2021) is shown in Figure 2. The goal will be to work closely with existing partners and forge new partnerships in these same communities. The campaign will target to five distinct segments of the population: (1) Latino and Black residents of South Los Angeles; (2) Latino and Black residents in the Eastside of Los Angeles; (3) members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ+) community; (4) parents of school-age children, both vaccinated and unvaccinated; and (5) community health workers in Spanish-speaking communities, called promotores de salud.
Full text: Click here
Publication 2023
Bisexuals Child Community Health Workers Hispanic or Latino Homosexuals Infection Latinos Lesbians Transgendered Persons Vaccination
Basic characteristics including age, gender (male or female), grades (freshman, sophomore, junior, senior), living expenses (yuan) (≤1000, 1001–2000, 2001–3000, >3000), only-child (yes or no), residence (urban or rural) and sexual orientation (heterosexual, homosexual, bisexuality, others).
Full text: Click here
Publication 2023
Females Heterosexuals Homosexuals Males Only Child Sexual Orientation

Top products related to «Homosexuals»

Sourced in United States, United Kingdom, Japan, Austria, Germany, Denmark, Czechia, Belgium, Sweden, New Zealand, Spain
SPSS version 25 is a statistical software package developed by IBM. It is designed to analyze and manage data, providing users with a wide range of statistical analysis tools and techniques. The software is widely used in various fields, including academia, research, and business, for data processing, analysis, and reporting purposes.
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
Sourced in United States, United Kingdom, Germany, Japan, Belgium, Austria, China, Denmark, Spain
SPSS 22.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data, providing users with a range of statistical tools and techniques for various applications, including market research, survey data analysis, and social science research.
Sourced in United States, China
The HumanOmniZhongHua-8 BeadChip is a high-density microarray designed for genomic analysis. It features a comprehensive set of genetic markers for detailed interrogation of the human genome.
Sourced in United States
SPSS 19.0 software for Windows is a powerful statistical analysis tool designed for data management, analysis, and reporting. It provides a comprehensive set of features to help users analyze and interpret complex data, including advanced statistical techniques, data visualization, and reporting capabilities.
Sourced in United States, Denmark, United Kingdom, Canada, Austria
Stata 11 is a comprehensive statistical software package developed by StataCorp. It provides a wide range of data management, analysis, and visualization tools for researchers, students, and professionals across various fields. Stata 11 offers a flexible and user-friendly interface to handle complex data, perform advanced statistical analyses, and generate high-quality reports and graphics.
Sourced in United States, United Kingdom
EndNote X9 is a reference management software that allows users to easily collect, organize, and format citations and bibliographies for their research projects. It provides a comprehensive set of tools for managing citations, creating bibliographies, and integrating citations into text documents.
Sourced in United States, Japan, Germany, United Kingdom, Austria
SPSS Statistics 25 is a software package used for statistical analysis. It provides a wide range of data management and analysis capabilities, including advanced statistical techniques, data visualization, and reporting tools. The software is designed to help users analyze and interpret data from various sources, supporting decision-making processes across different industries and research fields.
Sourced in United States, Denmark, United Kingdom, Austria, Sweden
Stata 13 is a comprehensive, integrated statistical software package developed by StataCorp. It provides a wide range of data management, statistical analysis, and graphical capabilities. Stata 13 is designed to handle complex data structures and offers a variety of statistical methods for researchers and analysts.
Sourced in United States
SAS 9.12 for Windows is a software product that provides statistical analysis and data management capabilities. It is designed to run on the Windows operating system. The core function of SAS 9.12 for Windows is to enable users to perform statistical analysis, data manipulation, and reporting tasks.

More about "Homosexuals"

Homosexuality, Gay, Lesbian, Bisexual, Pansexual, LGBTQ+, Same-Sex Attraction, Sexual Orientation, Gender Identity, Sexual and Gender Minorities, Queer, SPSS, SAS, Stata, EndNote, Bioinformatics, Genomics, Transcriptomics, Proteomics, Metabolomics, Epidemiology, Biostatistics, Public Health, Mental Health, Stigma, Discrimination, Health Disparities, Social Challenges, Reproductive Health, Sexually Transmitted Infections, Substance Abuse, Suicide Prevention, Transgender, Intersex, Non-Binary, Genderfluid, Genderqueer, Two-Spirit, Asexual, Aromantic, Demisexual, Polysexual, Omnisexual, LGBTQIA+, Ally, Pride, Visibility, Representation, Advocacy, Community, Support, Research, Data, Analysis, Methodology, Study Design, Protocol Optimization, Literature Review, Preprints, Patents, Reproducibility, Accuracy, Insights, Acceleration.