Does Scientific Publication Inform Public Discourse? A Case Study Observing Social Media Engagement Around Vaccinations.

In the early 2000s, there was a shift in the use of the internet. Individuals on the internet began seeking information from other creators and creating their own content. These online communities allowed individuals to communicate across the globe, gravitating toward people like them or those who shared similar beliefs. Conversations around vaccinations have been particularly polarizing across social media even though scientific literature continually validates their safety and effectiveness. This study will explore whether online public discourse about vaccinations changes before and after major scientific publications, and will measure what is related to social engagement around vaccinations on Twitter. In September 2018, two weeks' worth of Twitter posts (n = 2,919) discussing vaccinations were collected, coded, and analyzed before and after two major 2014 scientific publications. Linear regression analyses examined variables related to engagement with vaccination-related Tweets pre- and postpublication. Antivaccine-related Tweets decreased by over 25% after scientific publications, while provaccine Tweets increased by 16.6%. Regression models suggest verification status and number of followers were the strongest predictors of Twitter engagement. Findings indicate that scientific publications might affect what people public health information people share online, and how people engage with online content. In a time when false information is easily spread online, this study suggests the need for continual scientific publication on "hot topics," and urges researchers to partner with influential individuals on social media to disseminate effective, evidence-based, and user-friendly public health information to the public.

A latent class analysis of the co-occurrence of sexual violence, substance use, and mental health in youth.

Purpose: The purpose of this study was to understand co-occurrence of sexual violence, substance use, and mental health in youth and see if there are differences in experiences among sexual identities, races, and genders. Methods: The 2017 Youth Risk Behavior Survey sampled 14,638 high school students. Latent class analysis was used to understand the relationship between incidence of sexual violence, substance use, and depression and suicidality in a nationally representative sample. The model controlled for demographic and bullying covariates. Results: A four-class solution provided optimal fit. Classes were low risk (51.8%); low violence, frequent substance use, and high depression and suicidal ideation (29.7%); experienced violence and moderate mental health issues(5.1%); and some violence, high substance use, and high depression and suicidal ideation (13.4%). Youth who identified as sexual minority youth were almost 2.5-5 times more likely to be in the three higher risk classes than their heterosexual peers. Those who identified as "I don't know" were almost 3 times more likely to be in the three higher risk classes than heterosexual youth. Multiracial youth had higher likelihood of being in the three riskier classes compared to Caucasian youth. Females were 2.5 and 3 times more likely to be in the low violence and some violence classes compared to males. Conclusion: The study's finding distinct classes of co-occurring behavioral and mental health outcomes fill gaps in the current literature and informs practitioners that LGB youth and bi/multiracial youth were at an elevated risk of co-occurring victimization, substance use, and mental health problems.

Exploring the Role of Social Network Structure in Disease Risk among U.S. Long-haul Truck Drivers in Urban Areas.

Objective: Using mixed methods, we explored properties of long-haul truckers' social networks potentially influencing STI/BBI acquisition and transmission. Methods: We recruited inner-city drug and sex network members (N = 88) for interviews. Blood and urine samples and vaginal swabs were collected to test for STIs/BBIs. Data were collected on participants' role in the network (trucker, sex worker, or intermediary), sexual and substance-use behaviors, and dyadic relationships with drug and/or sex contacts. We analyzed network data using UCINET. Results: Data revealed 2 major network clusters (58 male truckers, 6 male intermediaries, and 24 female sex workers; 27.3% STI/BBI positive). Overall, 18.8% of network members had more than one type of risky relationship with the same person (multiplexity), 11.4% of dyads were between 2 STI/ BBI positive people (assortative mixing), 36.4% were between one STI/BBI positive person and one negative person (disassortative mixing), 44.3% of people were connected to more than one person who was STI/BBI positive (concurrency), and 62.5% of nodes were just one path removed from an STI/BBI positive individual (bridging). Conclusion: Despite only 27.3% of the network being STI/BBI positive, our results revealed network characteristics (and potential intervention points) that amplify risk of disease spread within trucker-centered networks.

A pilot study using egocentric network analysis to assess holistic health benefits among a sample of university employees involved in a worksite fitness program.

BACKGROUND: Working adults in the United States often do not engage in enough exercise to experience health benefits. With workplaces becoming increasingly sedentary, more emphasis is placed on providing exercise opportunities at work. Evidence suggests participating in exercise during the workday and socially connecting with others while exercising, can lead to positive health outcomes. OBJECTIVE: The purpose of this study is to examine whether mental and social health factors were related to increased exercise among employees participating in a worksite group exercise program. METHODS: An egocentric network analysis was conducted on a sample of university employees (n = 57). RESULTS: Regression analyses (Adjusted R2 = 0.501, F = 4.686, p = 0.001) suggest that depression (ß= -0.548, p = 0.041), stress (ß= 0.530, p = 0.016), nominating alters who exercise similarly (ß= 0.326, t = 2.111, p = 0.045), average exercise scores across egonetworks (ß= -0.330, t = -2.135, p = 0.043), and nominating other group exercise members (ß= 0.579, t = 3.721, p = 0.001) were related to physical activity scores. CONCLUSION: These findings provide empirical support for using group exercise environments as a mechanism for increasing exercise among employees. Specifically, fostering social connections between employees involved in the program can lead to greater physical activity scores. Future research should confirm these results in larger samples, along with determining more causal relationships with longitudinal and experimental designs.

Understanding innovation in health program planning and development.

INTRODUCTION: A need for innovative public health programs is evident as the field adapts to address changes in health priorities and target populations. The Innovative Teen Pregnancy Prevention Program (iTP3) was created to support and enable innovation in teenage pregnancy prevention, developing programs to reach the most at risk youth. METHODS: A formative evaluation was conducted to understand what innovation means in the context of program development, and examine the process of innovation. Qualitative data was collected through baseline interviews with program development teams, referred to as Innovators, prior to the start of the project period and follow-up interviews conducted at the end of a 12-month funding period. Additional open-ended written responses were collected in the middle of the funding cycle. A thematic analysis with an open-coding scheme was used to identify emergent themes. RESULTS: Innovators considered programs innovative because of the target population of focus, program delivery mechanism, and/or program development approach. They specifically identified that a "culture" of innovation must be present if new programs are to be developed. Over time, Innovators began to shift their definition of innovation toward unique design processes and ecological approaches. DISCUSSION: Through creating a culture of innovation and utilizing systems thinking, this project provides important insights in how to develop innovations in public health.