Browsing by Author "Xiao, Yunyu"

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    Adolescent social networks matter for suicidal trajectories: disparities across race/ethnicity, sex, sexual identity, and socioeconomic status
    (Cambridge, 2021-03-03) Xiao, Yunyu; Lindsey, Michael A.; School of Social Work
    Background Examining social networks, characterized by interpersonal interactions across family, peer, school, and neighborhoods, offer alternative explanations to suicidal behaviors and shape effective suicide prevention. This study examines adolescent social networks predicting suicide ideation and attempt trajectories transitioning to adulthood, while revealing differences across racial/ethnic, sex, sexual identity, and socioeconomic status. Methods Participants included 9421 high school students (Mage = 15.30 years; 54.58% females, baseline) from Waves I–IV of the National Longitudinal Study of Adolescent to Adult Health, 1994–2008. Latent class growth analyses were conducted to identify suicide ideation and attempt trajectories. Multivariate multinomial logistic regressions examined the relationships between social network characteristics during adolescence and suicidal trajectories. Interaction terms between social networks and sociodemographic characteristics were included to test moderation effects. Results Three suicidal ideation trajectories (low-stable, high-decreasing, moderate-decreasing-increasing) and two suicide attempt trajectories (low-stable, moderate-decreasing) were identified. Greater family cohesion significantly reduced the probability of belonging to high-decreasing (Trajectory 2) and moderate-decreasing-increasing (Trajectory 3) suicidal ideation trajectories, and moderate-decreasing (Trajectory 2) suicide attempt trajectory. Race/ethnicity, sex, and sexual identity significantly moderated the associations between social networks (household size, peer network density, family cohesion, peer support, neighborhood support) and suicidal trajectories. Conclusions Social networks during adolescence influenced the odds of belonging to distinct suicidal trajectories. Family cohesion protected youth from being in high-risk developmental courses of suicidal behaviors. Social networks, especially quality of interactions, may improve detecting adolescents and young adults at-risk for suicide behaviors. Network-based interventions are key to prevent suicidal behaviors over time and suicide intervention programming.
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    COVID-19 Misinformation Prophylaxis: Protocol for a Randomized Trial of a Brief Informational Intervention
    (JMIR, 2020-12) Agley, Jon; Xiao, Yunyu; Thompson, Esi; Golzarri-Arroyo, Lilian; School of Social Work
    Background: As the COVID-19 pandemic continues to affect life in the United States, the important role of nonpharmaceutical preventive behaviors (such as wearing a face mask) in reducing the risk of infection has become clear. During the pandemic, researchers have observed the rapid proliferation of misinformed or inconsistent narratives about COVID-19. There is growing evidence that such misinformed narratives are associated with various forms of undesirable behavior (eg, burning down cell towers). Furthermore, individuals’ adherence to recommended COVID-19 preventive guidelines has been inconsistent, and such mandates have engendered opposition and controversy. Recent research suggests the possibility that trust in science and scientists may be an important thread to weave throughout these seemingly disparate components of the modern public health landscape. Thus, this paper describes the protocol for a randomized trial of a brief, digital intervention designed to increase trust in science. Objective: The objective of this study is to examine whether exposure to a curated infographic can increase trust in science, reduce the believability of misinformed narratives, and increase the likelihood to engage in preventive behaviors. Methods: This is a randomized, placebo-controlled, superiority trial comprising 2 parallel groups. A sample of 1000 adults aged ≥18 years who are representative of the population of the United States by gender, race and ethnicity, and age will be randomly assigned (via a 1:1 allocation) to an intervention or a placebo-control arm. The intervention will be a digital infographic with content based on principles of trust in science, developed by a health communications expert. The intervention will then be both pretested and pilot-tested to determine its viability. Study outcomes will include trust in science, a COVID-19 narrative belief latent profile membership, and the likelihood to engage in preventive behaviors, which will be controlled by 8 theoretically selected covariates. Results: This study was funded in August 2020, approved by the Indiana University Institutional Review Board on September 15, 2020, and prospectively registered with ClinicalTrials.gov. Conclusions: COVID-19 misinformation prophylaxis is crucial. This proposed experiment investigates the impact of a brief yet actionable intervention that can be easily disseminated to increase individuals’ trust in science, with the intention of affecting misinformation believability and, consequently, preventive behavioral intentions.
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    Effects of ACT Out! Social Issue Theater on Social-Emotional Competence and Bullying in Youth and Adolescents: Cluster Randomized Controlled Trial
    (JMIR Publications, 2021-01-06) Agley, Jon; Jun, Mikyoung; Eldridge, Lori; Agley, Daniel L.; Xiao, Yunyu; Sussman, Steve; Golzarri-Arroyo, Lilian; Dickinson, Stephanie L.; Jayawardene, Wasantha; Gassman, Ruth; School of Social Work
    Background: Schools increasingly prioritize social-emotional competence and bullying and cyberbullying prevention, so the development of novel, low-cost, and high-yield programs addressing these topics is important. Further, rigorous assessment of interventions prior to widespread dissemination is crucial. Objective: This study assesses the effectiveness and implementation fidelity of the ACT Out! Social Issue Theater program, a 1-hour psychodramatic intervention by professional actors; it also measures students' receptiveness to the intervention. Methods: This study is a 2-arm cluster randomized control trial with 1:1 allocation that randomized either to the ACT Out! intervention or control (treatment as usual) at the classroom level (n=76 classrooms in 12 schools across 5 counties in Indiana, comprised of 1571 students at pretest in fourth, seventh, and tenth grades). The primary outcomes were self-reported social-emotional competence, bullying perpetration, and bullying victimization; the secondary outcomes were receptiveness to the intervention, implementation fidelity (independent observer observation), and prespecified subanalyses of social-emotional competence for seventh- and tenth-grade students. All outcomes were collected at baseline and 2-week posttest, with planned 3-months posttest data collection prevented due to the COVID-19 pandemic. Results: Intervention fidelity was uniformly excellent (>96% adherence), and students were highly receptive to the program. However, trial results did not support the hypothesis that the intervention would increase participants' social-emotional competence. The intervention's impact on bullying was complicated to interpret and included some evidence of small interaction effects (reduced cyberbullying victimization and increased physical bullying perpetration). Additionally, pooled within-group reductions were also observed and discussed but were not appropriate for causal attribution. Conclusions: This study found no superiority for a 1-hour ACT Out! intervention compared to treatment as usual for social-emotional competence or offline bullying, but some evidence of a small effect for cyberbullying. On the basis of these results and the within-group effects, as a next step, we encourage research into whether the ACT Out! intervention may engender a bystander effect not amenable to randomization by classroom. Therefore, we recommend a larger trial of the ACT Out! intervention that focuses specifically on cyberbullying, measures bystander behavior, is randomized by school, and is controlled for extant bullying prevention efforts at each school.
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    Factors Associated with Reported Likelihood to Get Vaccinated for COVID-19 in a Nationally Representative US Survey
    (Elsevier, 2021-06) Agley, Jon; Xiao, Yunyu; Thompson, Esi E.; Golzarri-Arroyo, Lilian; School of Social Work
    Objectives While general principles related to vaccination hesitancy have been well-researched, reports on reluctance to be vaccinated for COVID-19 in the US are somewhat surprising given the disease’s substantive disruption of everyday life. However, the landscape in which people are making COVID-19 vaccination decisions has recently evolved with releases of encouraging vaccine-related data and changes to official messaging about the virus. Therefore, this study sought to identify factors associated with reported likelihood to get vaccinated for COVID-19 among US adults in late January 2021. Study Design We used the Prolific online research panel to survey a nationally representative sample of 1,017 US adults. Methods Respondents were asked about their behavioral intentions toward COVID-19 vaccination, trust in science, perceptions related to COVID-19, and selected sociodemographic factors. We computed associations between those 11 independent variables and likelihood to get vaccinated for COVID-19 using multiple linear regression. Results Around 73.9% of respondents indicated at least some likelihood to get vaccinated for COVID-19. Trust in science and perceived seriousness of COVID-19 were positively associated, and identifying as Black or African American was negatively associated, with intention to get vaccinated. Other factors were moderately, weakly, or not at all associated with intention. Conclusions Building trust in science and truthfully emphasizing the seriousness of catching COVID-19 should be further researched for their potential to support campaigns to encourage COVID-19 vaccination. Data continue to suggest the importance of dialogue with Black communities about COVID-19 vaccination.
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    Gender-responsive language in the National Policy Guidelines for Immunization in Kenya and changes in prevalence of tetanus vaccination among women, 2008–09 to 2014: A mixed methods study
    (Elsevier, 2021) Dutta, Tapati; Agley, Jon; Lin, Hsien-Chang; Xiao, Yunyu; School of Social Work
    Global evidence suggests that maternal vaccination rates are partly related to intersectional gender-related disparities. Kenya recently eliminated maternal and neonatal tetanus, but previously had low rates of tetanus vaccination in many districts. Examining both national data and gender-responsive language in policies can potentially illuminate this progress. This study used mixed-methods approach: content analysis to identify gender-responsive language in Kenya's National Policy Guidelines for Immunization 2013, and logistic regression to analyze data from the Kenya Demographic and Health Surveys: 2008–09 (pre-policy) and 2014 (post-policy) to determine whether vaccination utilization significantly changed pre- and post-policy. Kenya's vaccine Guidelines highlighted a comprehensive life-cycle approach with several mentions of targeted immunization sensitization interventions for diverse sub-populations of women and gatekeepers. Logistic regression suggested an association between year of survey administration and prevalence of tetanus vaccination, with greater adjusted odds post policy implementation (e.g., 2014). Further in-depth research, like elite interviews, might prove valuable.
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    HIV/AIDS and Substance Use Prevention for African American Young Adults: Field Evaluation of “Color it Real”
    (Sage, 2021) Agley, Jon; Xiao, Yunyu; Jayawardene, Wasantha; Gay, Albert; King, Rosemary; Horne, Kelly; Walker, Roland; School of Social Work
    In the United States, African Americans continue to bear a disproportionate amount of risk from HIV and illicit drug use, highlighting the importance of culturally responsive prevention programming. Manualized HIV and substance use prevention curricula that are conceptually African centered are few, and evaluative data of such programs are sparse. This research brief aims to describe a field evaluation of the “Color it Real” (CIR) program, a 6-session, 12-hr HIV and substance use prevention curriculum for African American males and females aged 18 to 24 years. Participants (n = 225) were recruited using convenience sampling from two cities within a high-risk county in Indiana. Attitudes, knowledge, and confidence related to HIV and substance use were assessed before and after the intervention. Wilcoxon and McNemar tests were used to compare pretest and posttest scores, and binary logistic regression models were used to examine sociodemographic associations with outcomes. Among the analytic sample (n = 195), the CIR program was associated with several improved attitudes and increased knowledge related to HIV and substance use, but not with increased confidence in sexual negotiation skills. These findings represent the first published data from CIR since the developers’ original study, and support continued use of the curriculum by our program. Given the positive findings (i.e., attitudes and knowledge) and community receptiveness to CIR, we believe that a randomized, controlled trial of the intervention that includes longitudinal behavioral measurement would be a meaningful addition to prevention research.
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    Influential Path of Social Risk Factors toward Suicidal Behavior—Evidence from Chinese Sina Weibo Users 2013–2018
    (MDPI, 2021-03-05) Han, Yujin; Li, He; Xiao, Yunyu; Li, Ang; Zhu, Tingshao; School of Social Work
    (1) Purpose: The purpose of this study was to determine suicidal risk factors, the relationship and the underlying mechanism between social variables and suicidal behavior. We hope to provide empirical support for the future suicide prevention of social media users at the social level. (2) Methods: The path analysis model with psychache as the mediate variable was constructed to analyze the relationship between suicidal behavior and selected social macro variables. The data for our research was taken from the Chinese Suicide Dictionary, Moral Foundation Dictionary, Cultural Value Dictionary and National Bureau of Statistics. (3) Results: The path analysis model was an adequate representation of the data. With the mediator psychache, higher authority vice, individualism, and disposable income of residents significantly predicted less suicidal behavior. Purity vice, collectivism, and proportion of the primary industry had positive significant effect on suicidal behavior via the mediator psychache. The coefficients of harm vice, fairness vice, ingroup vice, public transport and car for every 10,000 people, urban population density, gross domestic product (GDP), urban registered unemployment rate, and crude divorce rate were not significant. Furthermore, we applied the model to three major economic development belts in China. The model's result meant different economic zones had no influence on the model designed in our study. (4) Conclusions: Our evidence informs population-based suicide prevention policymakers that incorporating some social factors like authority vice, individualism, etc. can help prevent suicidal ideation in China.
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    An Interactive Approach to Bias Mitigation in Machine Learning
    (IEEE, 2021-10) Wang, Hao; Mukhopadhyay, Snehasis; Xiao, Yunyu; Fang, Shiaofen; Computer and Information Science, School of Science
    Underrepresentation and misrepresentation of protected groups in the training data is a significant source of bias for Machine Learning (ML) algorithms, resulting in decreased confidence and trustworthiness of the generated ML models. Such bias can be mitigated by incorporating both objective as well as subjective (through human users) measures of bias, and compensating for them by means of a suitable selection algorithm over subgroups of training data. In this paper, we propose a methodology of integrating bias detection and mitigation strategies through interactive visualization of machine learning models in selected protected spaces. In this approach, a (partially generated) ML model performance is visualized and evaluated by a human user or a community of human users in terms of potential presence of bias using both objective and subjective criteria. Guided by such human feedback, the ML algorithm can implement a variety of remedial sampling strategies to mitigate the bias using an iterative human-in-the-loop approach. We also provide experimental results with a benchmark ML dataset to demonstrate that such an interactive ML approach holds considerable promise in detecting and mitigating bias in ML models.
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    Is there gender bias in research grant success in social sciences?: Hong Kong as a case study
    (Springer, 2020) Yip, Paul Siu Fai; Xiao, Yunyu; Wong, Clifford Long Hin; Au, Terry Kit Fong; School of Social Work
    Despite growing attention to gender disparities in higher education, women in academia still receive less research funding and recognition. Previous research on this gender gap has focused on biomedical, science, technology, engineering, and mathematics in the West—relatively silent on social sciences and Asia. This study examined how well staff gender, submission rate, success rate, and amount per award could predict annual changes in the number and amount of grant funding for academic years 2015/2016–2020/2021 in the Faculty of Social Science at the University of Hong Kong, a leading institution in social sciences in Asia. Decomposition analysis revealed that, compared to men, women had higher submission rates, which significantly contributed to an increase in the number of awards for the University in recent years in two major funding mechanisms (namely, General Research Fund and Early Career Scheme), especially from 2019/2020 to 2020/2021. Women also outperformed men in the success rate in the Early Career Scheme (i.e., within the first three years of faculty appointment). Both submission rate and success rate contributed to changes in award number and the total amount for the University over time. Overall, women had a higher submission rate, successful rate, and amount per award than their male counterparts. We have identified good practices and distinctive contextual factors in Hong Kong that likely contribute to the lack of gender bias for research grant application results in Social Sciences.
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    Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science
    (Springer Nature, 2021-01-07) Agley, Jon; Xiao, Yunyu; School of Social Work
    Background: The global spread of coronavirus disease 2019 (COVID-19) has been mirrored by diffusion of misinformation and conspiracy theories about its origins (such as 5G cellular networks) and the motivations of preventive measures like vaccination, social distancing, and face masks (for example, as a political ploy). These beliefs have resulted in substantive, negative real-world outcomes but remain largely unstudied. Methods: This was a cross-sectional, online survey (n=660). Participants were asked about the believability of five selected COVID-19 narratives, their political orientation, their religious commitment, and their trust in science (a 21-item scale), along with sociodemographic items. Data were assessed descriptively, then latent profile analysis was used to identify subgroups with similar believability profiles. Bivariate (ANOVA) analyses were run, then multivariable, multivariate logistic regression was used to identify factors associated with membership in specific COVID-19 narrative believability profiles. Results: For the full sample, believability of the narratives varied, from a low of 1.94 (SD=1.72) for the 5G narrative to a high of 5.56 (SD=1.64) for the zoonotic (scientific consensus) narrative. Four distinct belief profiles emerged, with the preponderance (70%) of the sample falling into Profile 1, which believed the scientifically accepted narrative (zoonotic origin) but not the misinformed or conspiratorial narratives. Other profiles did not disbelieve the zoonotic explanation, but rather believed additional misinformation to varying degrees. Controlling for sociodemographics, political orientation and religious commitment were marginally, and typically non-significantly, associated with COVID-19 belief profile membership. However, trust in science was a strong, significant predictor of profile membership, with lower trust being substantively associated with belonging to Profiles 2 through 4. Conclusions: Belief in misinformation or conspiratorial narratives may not be mutually exclusive from belief in the narrative reflecting scientific consensus; that is, profiles were distinguished not by belief in the zoonotic narrative, but rather by concomitant belief or disbelief in additional narratives. Additional, renewed dissemination of scientifically accepted narratives may not attenuate belief in misinformation. However, prophylaxis of COVID-19 misinformation might be achieved by taking concrete steps to improve trust in science and scientists, such as building understanding of the scientific process and supporting open science initiatives.