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Sexual Orientation

Sexual Orientation refers to an individual's emotional, romantic, and/or sexual attraction to persons of the same and/or different gender.
This encompasses a spectrum of identities, including lesbian, gay, bisexual, pansexual, and asexual.
Researching sexual orientation can provide insights into human psychology, biology, and social dynamics.
PubCompare.ai's tools can help optimize such studies for reproducibility and accuracy by locating relevant protocols from literature, preprints, and patents, and leveraging AI-driven comparisons to identify the best methods and prodcuts.
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Most cited protocols related to «Sexual Orientation»

Data were from the baseline visit of RADAR, a longitudinal cohort study of YMSM living in the Chicago metropolitan area (N=1,015). The primary objective of this cohort study is to apply a multilevel perspective to a syndemic of health issues associated with HIV among diverse YMSM. Diverse methods for participant recruitment have been previously described6 (link) and were selected in order to achieve the multiple cohort, accelerated longitudinal design. First, a subset of participants from two cohorts of YMSM, Project Q2 (n = 65) and Crew 450 (n = 162), who were first recruited in 2007 and 2010, respectively, enrolled in the cohort. In 2015, a third cohort of YMSM (current n = 468) was recruited. At the time of enrollment into their original respective cohorts, all participants were between 16 and 20 years of age, assigned male at birth, spoke English, and had a sexual encounter with a man in the previous year or identified as gay, bisexual or transgender. Next, the RADAR cohort was expanded through an iterative process where serious romantic partners were recruited at each visit, thereby creating a dynamic dyadic network. All serious romantic partners who were assigned male at birth were eligible for enrollment into the cohort regardless of current gender identity or sexual orientation. Romantic partners who were assigned female at birth or were older than 29 completed a study visit but were not enrolled in the cohort. Lastly, cohort members were allowed to refer a maximum of three YMSM peers for enrollment into the study as long as they were between 16 and 29 years of age. Demographic characteristics of the sample are shown in Table 1.
Publication 2018
Bisexuals Crow Gender Identity Genitalia, Female Male Genital Organs Sexual Orientation Transgendered Persons
The Sexual Orientation Microaggression Inventory (SOMI) consists of 26 investigator-created items developed based on themes detailed by Nadal et al. (2010) . It was administered at Time 7 in the Q2 sample and Time 3 in the Crew 450 sample. The themes incorporated into the microaggression scale were: heterosexist terminology, endorsement of heteronormative behaviors, assumption of universal LGBT experience, discomfort/disapproval of LGBTQ experiences, denial of societal heterosexism, assumption of abnormality, denial of individual heterosexism, and environmental macroaggressions. Each item was administered using a 5-point scale with options ranging from “not at all” to “about every day.”
Publication 2016
Crow Denial, Psychology Sexual Orientation
The study was approved by the UCLA Institutional Review Board, and all subjects signed informed consent.
Monozygotic twin pairs, differing for sexual orientation, were recruited through the study website, online advertisement and press coverage. Male and female control subjects were recruited using fliers. There were no significant differences in racial composition between the sample sets or age groups. Saliva was collected using Oragene DNA collection kits (Genotek). The majority (up to 74%) of the DNA in saliva collected with this method typically comes from white blood cells, with the remainder being buccal epithelial cells [21] . Genomic DNA was prepared according to the manufacturer's protocol. Zygosity was determined using 9 microsatellite markers. Microarray hybridization was performed by the Southern California Genotyping Consortium at UCLA. 500 ng of genomic DNA was bisulfite converted using the EZ-methylation kit (Zymo Research), and processed according to the Illumina Infinium whole genome genotyping protocol. Labeled samples were hybridized to Illumina HumanMethylation27 arrays, scanned (iScan reader, Illumina), and beta (methylation) values extracted using GenomeStudio software. All array data is MIAME compliant, and the raw data has been deposited in NCBI's GEO, a MIAME compliant database as detailed on the MGED Society website (http://www.mged.org/Workgroups/MIAME/miame.html) under accession number GSE28746.
Analysis: A signed weighted correlation network was constructed as described [11] (link), [22] (link). Module definition was based on the gene methylation status in saliva and ignored age. As module representative, we used the module eigenlocus (ME) which is defined as the first principal component of the module methylation profiles and can be considered a weighted average. To incorporate age into the network analysis, the Student t-test statistic for correlating age with methylation status was used. Lasso penalized regression was performed using the ‘penalized’ package of R[14] (link). All statistical analyses and data processing were performed using the statistical package R version 2.11.1 [23] . PCR reactions for amplification, massarray and pyrosequencing analysis were performed using Sahara and Bio-X-ACT Long enzymes (Bioline). PCR primers and conditions are listed in Methods S1.
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Publication 2011
Age Groups Cheek Crossbreeding Enzymes Epithelial Cells Ethics Committees, Research Females Genes Genotype hydrogen sulfite Leukocytes Males Methylation Microarray Analysis Oligonucleotide Primers Saliva Sexual Orientation Short Tandem Repeat Student Twins, Monozygotic
Participants were first asked a question about their natal sex (Step 1): “What sex were you assigned at birth, on your original birth certificate? (check one)” with three response options: “Male,” “Female,” or “Prefer Not to Answer.” The overall proportion of participants who endorsed “Prefer Not to Answer” was low (n = 44). These participants were excluded from analysis. Next, participants were asked about their current gender identity (Step 2): “What is your current gender identity? (check one)” with six response options: “Male,” “Female,” “Male-to-Female,” “Female-to-Male,” “Other (Specify),” and “Prefer Not to Answer.” Participants who selected “Prefer Not to Answer” (n = 101) were excluded from analysis.
The response option “Other (Specify)” offered participants an open-ended write-in to describe their current gender identity. A total of 432 participants selected “Other (Specify)” of whom 4.6% (n = 20) left the write-in option blank. These 20 participants were excluded from analysis. Two independent coders sorted qualitative responses (n = 412) and grouped them by thematic category to examine potential problems with item interpretation. The majority of write-in participants interpreted gender identity to mean sexual orientation identity, most commonly gay (59.5%) or bisexual (28.2%). After confirming their assigned sex at birth was male and their write-in response was not a transgender or other gender identity, these participants were re-coded as cisgender male. Overall, 2.2% (n = 9) listed an “Other” write-in that was correctly classified as a gender identity (not sexual identity or a sexual role), most commonly travesti (66.7%; n = 6). These were categories as other gender category.
Natal sex/gender identity status was operationalized by cross-classifying participants according to assigned sex at birth and current gender identity as follows: (1) “Male”: participants who checked “Male” assigned birth sex and checked “Male” for gender identity; (2) “MTF spectrum”: participants who checked “Male” assigned sex and who endorsed a “Female,” “MTF,” or “Other” (re-coded as described above) gender identity; (3) “FTM spectrum”: participants who checked “Female” assigned birth sex and who endorsed a “Male,” “FTM,” or “Other” (re-coded as described above) gender identity. Table 2 (Column A) shows the initial coding using the two-step method. Thirty-five cases appeared misclassified after initial coding (30 cases assigned male birth sex who self-identified FTM, 4 cases of female birth sex who identified as female, and 1 case of female birth sex who identified as male-to-female). These were excluded from analysis. Cleaned and coded two-step categorized gender is shown in Table 2 (Column B). Overall, 190 (0.54%) transgender participants were identified.
Publication 2014
Bisexuals Childbirth Females Gender Identity Males Sexual Orientation Transgendered Persons
The Prevention of Lower Urinary Tract Symptoms (PLUS) Research Consortium was established in 2015 to expand research, practice, and policies beyond the detection and treatment of LUTS to the promotion and preservation of bladder health and prevention of LUTS in girls and women.43 (link) While many multidisciplinary research networks focus on pelvic floor dysfunction and LUTS, the PLUS Consortium stands alone in its focus on prevention. The PLUS Consortium is comprised of a transdisciplinary network of professionals, including community advocates, health care professionals, and scientists specializing in pediatrics, adolescent medicine, gerontology and geriatrics, nursing, midwifery, behavioral medicine, preventive medicine, psychiatry, neuroendocrinology, reproductive medicine, female pelvic medicine and reconstructive surgery, urology, infectious diseases, clinical and social epidemiology, prevention science, medical sociology, psychology, women’s studies, sexual and gender minority health, community-engaged research, community health promotion, scale development, research methods, and biostatistics. Early conversations between network members acknowledged the diversity of girls and women with respect to sexual orientation and gender identity (SOGI). Members agreed to include SOGI measures in PLUS studies and to develop inclusion/exclusion criteria for cisgender and transgender individuals that fit the scientific objectives of each study.
To shift research, practice, and policies to a focus on health, the PLUS Consortium identified two initial tasks that it pursued in parallel. First, the Consortium drafted a definition of bladder health.44 Consistent with the World Health Organization’s definition of health,45 the PLUS Consortium conceptualizes bladder health as “a complete state of physical, mental and social well-being related to bladder function, and not merely the absence of LUTS,” with function that “permits daily activities, adapts to short term physical or environmental stressors, and allows optimal well-being (e.g., travel, exercise, social, occupational or other activities).” Second, the Consortium adopted a prevention science paradigm and developed a conceptual framework to guide the Consortium’s initial prevention research agenda. The Consortium began this task by establishing a shared understanding of prevention science among its diverse members. The Consortium then drew from separate, but complementary theoretical traditions and contemporary writings to develop the PLUS conceptual framework. The purpose of this manuscript is to describe the PLUS approach in developing a conceptual framework to guide the Consortium’s initial prevention research agenda.
Publication 2018
Biologic Preservation Communicable Diseases Females Gender Gender Identity Gender Minorities Health Care Professionals Health Promotion Lower Urinary Tract Symptoms Lutein Mental Health Pelvic Diaphragm Pelvis Pharmaceutical Preparations Physical Examination Reconstructive Surgical Procedures Sexual Orientation Transgendered Persons Urinary Bladder Woman

Most recents protocols related to «Sexual Orientation»

Participants were administered a standard demographic questionnaire with questions about their age, gender identity, sexual orientation, nationality, region of the country, ethnic and racial background, educational history, employment status, socioeconomic status, religion, and religiosity.
Publication 2023
Gender Identity Sexual Orientation
Three hundred and forty-one participants were electronically tested using the Prolific Academic crowdsourcing platform. The sample size was chosen to yield an 80% chance of observing a medium effect of condition (d = .50) at an alpha of .05 (two-tailed) and was determined before data analysis. Requirements for participation included being 18 years of age or older, identifying as a man or woman, and being born and raised in the United States. No participants were excluded from analyses. The study duration was approximately 15 min, and participants were paid $1.50.
Participants were 146 men (42.8%) and 195 women (57.2%), 297 of whom were aged 18 to 44 (87.1%). Two hundred and forty-eight participants identified as White (72.7%), 23 as Black (6.7%), 17 as Latino/a (5.0%), 3 as Native American (0.9%), 16 as East Asian (4.7%), 10 as South Asian (2.9%), 2 as Middle Eastern (0.6%), 3 as another race or ethnicity (0.9%), and 19 as multiple categories (5.6%). Two hundred and fifty-nine participants described their sexual orientation as heterosexual (76.0%), 12 as gay (3.5%), 10 as Lesbian (2.9%), 49 as bisexual (14.4%), and 11 as “other” (3.2%). In terms of highest educational attainment, 59 participants reported having a postgraduate degree (17.3%), 142 an undergraduate degree (41.6%), 135 a high school diploma or equivalent (39.6%), and 5 as having not finished high school (1.5%).
Politically, the sample skewed left, with 173 participants describing themselves as Democrats (50.7%), 39 as Republicans (11.4%), 120 as Independents (35.2%), and 9 as “something else” (2.6%). Participants’ average level of political conservatism was 4.4 on a 1–11 scale (SD = 2.5), with 219 identifying as liberal (64.2%), 63 choosing the scale midpoint (18.5%), and 59 identifying as conservative (17.3%).
Publication 2023
American Indian or Alaska Native Bisexuals Childbirth Culture Media, Conditioned East Asian People Ethnicity Heterosexuals Latinos Lesbians Sexual Orientation South Asian People Woman
The workshop is a 7-hour didactic and interactive seminar delivered virtually at the start of the training program and led by two clinician facilitators who are experts in sexual health, sexual orientation, and gender-identity topics related to mental health and health care. The workshop included four modules: (1) interrogating stereotypes, examining comfort, and understanding the importance of language; (2) LGBTQ+ health disparities and obstacles to care; (3) facilitating sexual health conversations in mental health care; and (4) providing affirmative care and health conversations. The workshop for each cohort was scheduled so that the two intervention organization administrators and therapists could participate together. This was both a cost-efficiency decision and an educational opportunity for cross-organization sharing and learning. The workshop time was largely determined by the administrator and therapist’s choice from options provided by the trainers. Zoom was used as the virtual venue for the workshops. The workshop modules were presented over two consecutive days for cohorts 1 and over one day during cohort 2 due to scheduling conflicts. All participants who completed the 7-hour workshop were offered 7 continuing education units (CEUs) from the National Association of Social Workers (NASW).
Publication 2023
Administrators Association Learning Gender Identity Mental Health Sexual Health Sexual Orientation Stereotypic Movement Disorder Training Programs
Clinical consultations (CC) for therapists consisted of a series of six 1-hour sessions for intervention condition therapists with one expert clinical trainer. CCs were delivered every 2 to 3 weeks for 3 months. The CC sessions each had a topic for discussion: Collection of sexual orientation and gender identity data; mental health care with lesbian, gay, and bi+ clients; mental health care with transgender and gender non-binary clients; substance use disorder treatment with LGBTQ+ clients; facilitating sexual health conversations with lesbian, gay, and bi+ clients; and facilitating sexual health conversations with transgender and gender non-binary clients. Participants were asked to read an article related to the topic before meeting and bring their clinical challenges regarding LGBTQ+ clients for discussion. The facilitator reviewed case examples when the participants did not have cases to discuss. The facilitator assisted participants in identifying and resolving discomfort related to the topic and provided feedback on improving the clinical skills they demonstrated during the discussion. For each CC, the number of therapists was limited to 12. Each session was offered at two different times so that each therapist from the two participating organizations per study cohort could register to attend the most convenient option.
Publication 2023
Gender Gender Identity Lesbians Respiratory Diaphragm Sexual Health Sexual Orientation Substance Use Disorders Transgendered Persons
Recruitment methods varied by event and included newsletters, social media posts, and personal invitation/street outreach. All event participants received pre/post-event surveys. The pre-survey included demographic questions (self-identified age, race/ethnicity, gender, sexual orientation). Pre- and post-surveys assessed readiness to engage in ACP based on the validated, 4-item ACP Engagement Survey.31 (link) Validated surveys have 5-item responses; however, community members requested the responses be truncated to 4 items for ease of use (not at all/somewhat/mostly/completely; scores analyzed on a scale of 1–4 with 4 = completely ready). The post-survey also assessed comfort with attending events and willingness to recommend events to others (on a 4-point Likert scale), and open-ended questions about acceptability. Partnering organizations completed a post-event survey with open-ended questions assessing feasibility (number of attendees, successes, suggestions for improvement).
Publication 2023
Ethnicity Gender Sexual Orientation

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More about "Sexual Orientation"

Sexual orientation refers to an individual's emotional, romantic, and/or sexual attraction to persons of the same and/or different gender.
This encompasses a spectrum of identities, including lesbian, gay, bisexual, pansexual, and asexual.
Researching sexual orientation can provide insights into human psychology, biology, and social dynamics.
Utilizing statistical analysis tools like SAS 9.4, Stata 15, and SPSS version 25 can be helpful in conducting studies on sexual orientation.
These software packages offer a range of features and capabilities that can support data analysis, hypothesis testing, and the identification of patterns and trends.
For example, SAS version 9.4 provides a comprehensive suite of tools for data management, analysis, and visualization, which can be useful in examining the relationship between sexual orientation and various demographic, social, or biological factors.
Similarly, Stata version 14 and SPSS version 20 offer a variety of statistical methods and techniques that can be applied to research on sexual orientation.
By leveraging the powerful capabilities of these statistical analysis tools, researchers can enhance the reproducibility and accuracy of their studies on sexual orientation.
PubCompare.ai's tools can further optimize such research by helping to locate relevant protocols from literature, preprints, and patents, and by utilizing AI-driven comparisons to identify the best methods and products for your specific research needs.
Whether you're interested in exploring the psychological, biological, or social aspects of sexual orientation, PubCompare.ai's tools and the integration of statistical analysis software can help you enhance your research and gain valuable insights into this important area of study.