40 research outputs found

    Developing technology-based interventions for infectious diseases: ethical considerations for young sexual and gender minority people

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    Compared to their heterosexual and cisgender peers, young sexual and gender minority (YSGM) people are more likely to contract sexually transmitted infections (STIs; e.g., HIV) and to face adverse consequences of emerging infections, such as COVID-19 and mpox. To reduce these sexual health disparities, technology-based interventions (TBIs) for STIs and emerging infections among YSGM adolescents and young adults have been developed. In this Perspective, we discuss ethical issues, ethical principles, and recommendations in the development and implementation of TBIs to address STIs and emerging infections among YSGM. Our discussion covers: (1) confidentiality, privacy, and data security (e.g., if TBI use is revealed, YSGM are at increased risk of discrimination and family rejection); (2) empowerment and autonomy (e.g., designing TBIs that can still function if YSGM users opt-out of multiple features and data collection requests); (3) evidence-based and quality controlled (e.g., going above and beyond minimum FDA effectiveness standards to protect vulnerable YSGM people); (4) cultural sensitivity and tailoring (e.g., using YSGM-specific models of prevention and intervention); (5) balancing inclusivity vs. group specificity (e.g., honoring YSGM heterogeneity); (6) duty to care (e.g., providing avenues to contact affirming healthcare professionals); (7) equitable access (e.g., prioritizing YSGM people living in low-resource, high-stigma areas); and (8) digital temperance (e.g., being careful with gamification because YSGM experience substantial screen time compared to their peers). We conclude that a community-engaged, YSGM-centered approach to TBI development and implementation is paramount to ethically preventing and treating STIs and emerging infections with innovative technology

    Peer-group Predictors of Homophobic Harassment Among Middle School Students

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    Homophobic victimization in schools is prevalent and has been linked to numerous negative outcomes such as depression, suicidality, and feeling unsafe in schools (Cochran & Mays, 2000; D'Augelli & Hershberger, 1993; Hershberger & D’Augelli, 1995; Kosciw & Diaz, 2006; Rivers, 2000; Rivers, 2004). Little however is known about the formation of homophobic bullying behaviors. The current study uses an ecological framework to study the formation of homophobic name-calling behavior in adolescents. Specifically, it examines homophobic name-calling behavior and peer group contextual and socialization effects, as well as the influence of masculinity attitudes, general bullying perpetration, and victimization in the transmission of these behaviors. This study examined these research questions by utilizing hierarchical linear modeling and social network analysis. Participants include 493 5th through 8th grade students from two Midwestern middle schools (45.2% White, 36.7% Black, and 18.1% Other). Results indicate that peer groups play an important role in the formation of homophobic name-calling behaviors. Additionally, students who were victims of homophobic name-calling over time increased their own perpetration of homophobic name-calling. Non-homophobic bullying was also related to homophobic name-calling, but only for male peer groups. And finally, the role of masculinity attitudes was shown to be complex, as peer group masculinity attitudes were significantly predictive of an individual’s homophobic perpetration, however this effect did not remain significant over time. Results suggest that homophobic name-calling is a behavior strongly influenced by peers and has ties to masculinity attitudes. Implications for school interventions are also discussed

    Bias in Big Data: 2019 Workshop White Paper

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    The Bias in Big Data 2019 workshop was organized by the CONNECT Complex Systems and Health Disparities Research Program at the Institute for Sexual and Gender Minority Health and Wellbeing at Northwestern University. The content in this white paper reflects the work of Kate Banner, Lauren Beach, Michelle Birkett, Cate Durudogan, Dylan Felt, Patrick Janulis, and Gregory Phillips II, as well as input and discussion from workshop attendees. The workshop sought to stimulate intersectional discussion about the role of bias in big data and to explore, in particular, how bias in data and data science impacts the health of sexual and gender minority populations. The workshop was hosted in Chicago and livestreamed to ensure broad and inclusive participation at no charge

    Bias in Big Data: 2019 Workshop White Paper

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    Protective School Climates and Reduced Risk for Suicide Ideation in Sexual Minority Youth

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    Objectives. We examined whether sexual minority students living in states and cities with more protective school climates were at lower risk of suicidal thoughts, plans, and attempts.Methods. Data on sexual orientation and past-year suicidal thoughts, plans, and attempts were from the pooled 2005 and 2007 Youth Risk Behavior Surveillance Surveys from 8 states and cities. We derived data on school climates that protected sexual minority students (e.g., percentage of schools with safe spaces and Gay–Straight Alliances) from the 2010 School Health Profile Survey, compiled by the Centers for Disease Control and Prevention.Results. Lesbian, gay, and bisexual students living in states and cities with more protective school climates reported fewer past-year suicidal thoughts than those living in states and cities with less protective climates (lesbians and gays: odds ratio [OR] = 0.68; 95% confidence interval [CI] = 0.47, 0.99; bisexuals: OR = 0.81; 95% CI = 0.66, 0.99). Results were robust to adjustment for potential state-level confounders. Sexual orientation disparities in suicidal thoughts were nearly eliminated in states and cities with the most protective school climates.Conclusions. School climates that protect sexual minority students may reduce their risk of suicidal thoughts

    Association between aluminum in drinking water and incident Alzheimer's disease in the Canadian Study of Health and Aging cohort

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    Epidemiological evidence linking aluminum in drinking water and Alzheimer's disease (AD) has been inconsistent, with previous studies often limited by small sample sizes. The present study addresses this issue using data from the Canadian Study of Health and Aging (CSHA), a prospective cohort of 10,263 subjects followed-up from 1991-1992 through 2001-2002. Participants' residential histories were linked to municipal drinking water sources in 35 Canadian municipalities to obtain ecologic pH, aluminum, fluoride, iron and silica concentrations in drinking water. Cox proportional hazards models were used to examine associations between aluminum and incident AD [Hazard Ratios (HRs), 95% confidence intervals (CIs)], adjusting for age, gender, history of stroke, education, and high blood pressure. A total of 240 incident AD cases were identified during follow-up of 3, 638 subjects derived from the CSHA cohort with complete data on all covariates. With categorical aluminum measurements, there was an increasing, but not statistically significant, exposure-response relationship (HR = 1.34, 95% CI 0.88-2.04, in the highest aluminum exposure category; p = 0.13 for linear trend). Similar results were observed using continuous aluminum measurements (HR=1.21, 95% CI 0.97-1.52, at the interquartile range of 333.8 μg/L; p = 0.09 for linear trend). In a subsample genotyped for ApoE-ε4, there was some evidence of an association between aluminum and AD (p = 0.03 for linear trend). Although a clear association between aluminum in drinking water and AD was not found, the linear trend observed in ApoE-ε4 subsample warrants further examination
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