Social networks, group exercise, and anxiety among college students

This study aimed to evaluate the relationship between group exercise membership, social network characteristics, and general state anxiety in a sample of college students. Participants: 490 undergraduates from a private university in the southern US participated in the study. Methods: An egocentric network analysis was conducted to test whether demographic variables, leisure-time physical activity, group exercise membership, flourishing scores, and network variables were related to anxiety. Results: Regression analyses (R² = .174, F = 7.650, p < .0001) suggest group exercise membership (β = -.105, p = .034) and flourishing scores (β = -.342, p < .0001) were related to lower anxiety scores, while being a racial/ethnic minority (β = .094, p = .036), and having personal networks composed of more people who exercise often (β = .100, p = .025), were related to higher anxiety scores in this sample. Conclusions: Findings suggest a connection between group exercise membership, activity habits of peers, and anxiety. Encouraging group exercise participation could be an effective way of combating anxiety for college students.

Use of Digital Health Information for Health Information Seeking Among Men Living With Chronic Disease: Data From the Health Information National Trends Survey

Although diabetes education plays an important role in self-management for people living with diabetes, male health “help-seeking” lags far behind women. These gender-related “help-seeking” disparities often result in males being less engaged in their health care, which subsequently leads to poorer health outcomes among males. In this cross-sectional study, we used data from the 2017 Health Information National Trends Survey (HINTS) to identify factors that may contribute to communication inequalities between males and females. A hierarchical {linear/logistic} regression model was used to examine factors associated with online health information seeking among males living with diabetes. The results suggest that education, income, age, identifying as Hispanic, being a smoker, using a device to track progress toward a health-related goal, and using device to seek health information were all related to eHealth sum scores. Future research should consider testing applications among various at-risk groups to determine if the technology itself is becoming a barrier to eHealth.

A social network approach to analyzing body dissatisfaction among sorority members using two network generators

Objective: This article uses social network analysis (SNA) to analyze how various measures of social connectedness relate to body dissatisfaction (BD) in sorority members.Participants: 208 sorority members participated in the study.Methods: Measures of social connectedness (network variables) were created based on two relational networks: persons members felt closest to and persons they spent the most time with. SNA tested whether demographic variables, body mass index (BMI), compulsive exercise, and network variables were related to BD in both networks.Results: Members reported BD was related to less social connectedness in the "close-to" and the "time-spent" networks, although specific network variables varied between the two. Compulsive exercise, BMI, and grade classification were related to BD in both networks.Conclusions: How a sorority member connects to others in her network could impact BD in this population. This study supports efforts facilitating increased social connection within a sorority as a means to decrease BD.

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.

College Students' Perceptions of Peer Alcohol Use: A Social Network Analytic Approach

Traditional measures attempting to capture students' perceptions of peer drinking fail to capture the unique social influence of their most proximal peers. Purpose: This study presents egocentric social network data assessing the relationship between students' personal drinking behaviors and those of their closest social ties. Methods: 697 college students participated in the study by reporting on demographic information, alcohol use (AUDIT scores), and egocentric networks. Hierarchical linear regression assessed whether egocentric network variables uniquely predicted personal alcohol use, controlling for age, gender, race/ethnicity, and Greek-life affiliation. Results: Students with higher AUDIT scores were more likely to nominate persons close to them that engaged in more frequent, higher quantity drinking, and were also likely to mirror drinking behaviors to that of their close ties. Conclusion: Future studies should utilize SNA to capture the nuance associated with individuals' perceptions of close others' alcohol use and their own drinking behaviors. Interventions aimed at reducing collegiate drinking should consider the interpersonal nature of drinking behaviors among college student networks.

A social network analysis approach to group and individual perceptions of child physical activity

Child physical activity (PA) is influenced by social environment. Self-perception and perception of others' behaviors may impact health behaviors such as PA. This study examines associations between child networks, perception of their own PA and the network's perception of their PA. Children (n = 89, M age = 10.00, SD = 1.34) at a summer care program reported demographics (54% female; 46% Black), PA, and physical skill competency. Children indicated up to five people they interacted with the most while at the program and how active they perceived each person to be. Multilevel modeling was used to determine significant associations between skill competency, network measures, and child's perception of their own PA, the network's perception of their PA, and the absolute difference between the two. Children perceived themselves to be more physically active if they perceived their friends were more physically active. Children who were central in the network and more physically competent were perceived as more active by their peers. Absolute differences between self-reported and network perceived PA were significantly larger for females. This work builds on understanding of how network position may impact child PA perceptions at summer care programs. Implications of these perceptions for PA promotion programs are discussed.

Network Analysis of the Social Environment Relative to Preference for and Tolerance of Exercise Intensity in CrossFit Gyms

Known for its ability to improve fitness and health, high-intensity functional training (HIFT) focuses on functional movements completed at high intensities, often yielding outcomes superior to repetitive aerobic workouts. Preference for and tolerance of high-intensity exercise are associated with enjoyment of and adherence to HIFT. Similarly, the social environment present within CrossFit, a popular group-based HIFT modality, is important to the enjoyment of and adherence to HIFT. This study aimed to test whether preference and tolerance were related to social connections within CrossFit networks. Linear network autocorrelation models (LNAMs) and exponential random graph models (ERGMs) were computed on sociometric and attribute data from members of three CrossFit networks (n = 197). LNAMs showed the preference and tolerance scores of someone's social connections were associated with their own in all three gyms, and ERGMs demonstrated preference and tolerance scores were associated with the presence of social ties within all networks. This study is the first to provide evidence for a relationship between social connections and preference and tolerance. Future longitudinal research is needed to determine if the social environment may influence and optimize a person's preference of and tolerance for HIFT.

Health coalition collaboration network, perceived satisfaction and success

PURPOSE

The health equity and prosperity of communities is closely linked to the effectiveness and success of local health coalitions. Social network analysis (SNA) is one mechanism to quantify and understand the factors leading to collaboration and effectiveness within these coalitions. This study aims to investigate network characteristics associated with perceived success and satisfaction in a health coalition and determine significant factors related to organizational collaborations.

DESIGN/METHODOLOGY/APPROACH

This study examined the Olympic Peninsula Healthy Community Coalition (OPHCC) which aims to prevent chronic disease in rural Clallam County, Washington. Representatives (n = 21) from member organizations (n = 18) were asked to report on organization characteristics, perceived satisfaction in coalition activities, perceived success toward coalition's mission, and collaborations with other organizations in the coalition. Multilevel modeling used to analyze whether an organization's position within the coalition network was associated with their perceived satisfaction and perceived success. Exponential random graph modeling was used to examine what factors may impact collaboration ties between coalition members.

FINDINGS

Organization representatives reported a total of 252 collaboration ties. In multilevel models, organization characteristics and network centrality scores accounted for between 61 and 68% of variance displayed in satisfaction scores and 45-61% of variance in perceived success scores. Exponential random graph modeling revealed activity level, for-profit status, and transitivity as significant factors in collaborative tie presence.

ORIGINALITY/VALUE

Encouraging consistent active participation, a balance of organizational type, and projects which require more than two collaborators may provide an environment for collaborative ties between organizations.

Network Autocorrelation of Perceived Physical Activity Skill Competence Among Adolescents at a Summer Care Program: A Pilot Study

PURPOSE

This study investigates the possible association between adolescent friendship networks and perceived physical activity skill competence in a summer care program.

DESIGN

Adolescents participated in researcher-administered surveys at the start (T1) and end (T2) of summer.

SETTING

Adolescents at a Boys & Girls Club were sampled.

SAMPLE

Adolescents (age 8-12) completed researcher-administered surveys at T1 (n = 100; µ age = 9.9 years; 47% male; 55% Black) and T2 (n = 77; µ age = 9.8 years; 51% male; 49% Black).

MEASURES

Perceived skill competence was measured by asking adolescents to rate how good they felt they were at physical activity at the club. Adolescents were also asked to provide names of up to 5 peers whom they hung around with, talked to, and did things with the most while at the club.

ANALYSIS

Linear network autocorrelation models were used to determine network effects or clustering of perceived physical activity skill competence within the club.

RESULTS

There were significant network effects for adolescent perceived skill competency scores at T1 (β = 0.05, p < 0.01) and T2 (β = 0.05, p = 0.02), indicating adolescent perceived skill competence scores were associated with those of their friends.

CONCLUSIONS

Practitioners may wish to encourage the use of group or collaborative skill competency improvement activities as well as possibly pairing adolescents with differing skill competencies to foster improvement and possible diffusion of perceived skill competency.

A Systematic Review of Dating Violence Risk Factors Among Undergraduate College Students

College students are a vulnerable population for dating violence (DV) because of the social environment in which they live and interact with other students. Campus climate surveys are considered best practice for gathering information about the severity and cause of college DV; however, there are still unanswered questions as to why DV remains an alarming public health concern among college students. The aim of this systematic literature review was to examine DV risk factors specific to college students with a special focus on methodological factors and gaps in the literature. Databases EBSCO, Scopus, PsycINFO, MEDLINE, ERIC, and PubMed were searched for articles published between 2006 and 2016, resulting in 23 articles that met inclusion criteria for this review. Very few studies were conducted at private universities (n = 4). Most researchers used descriptive cross-sectional surveys (n = 22), while only one utilized a mixed-methods approach. Measurement scales used to collect DV rates were similar across studies, yet the definition of DV was inconsistent. Types and severity of DV varied across studies, but overall, females were more likely to perpetrate and/or experience DV than males. Individual risk factors (e.g., substance use, risky sexual behaviors) were identified more often than family risk factors (e.g., intergenerational violence) and peer and social risk factors (e.g., Greek-life or athletic team membership, relationship type). A better understanding of new college relationships is critical to identify modifiable risk factors for DV. Recommendations for future practice and research are also discussed.

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 (β= -0.548, p = 0.041), stress (β= 0.530, p = 0.016), nominating alters who exercise similarly (β= 0.326, t = 2.111, p = 0.045), average exercise scores across egonetworks (β= -0.330, t = -2.135, p = 0.043), and nominating other group exercise members (β= 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.

Interorganizational network findings from a nationwide cardiovascular disease prevention initiative

OBJECTIVES

To use network analysis in order to evaluate the effectiveness of interorganizational networks in implementing policy, systems, and environmental interventions for cardiovascular disease prevention throughout the United States.

METHODS

Evaluators conducted an interorganizational network (ION) survey to examine information sharing and joint planning within organizational relationships in 15 community-based cardiovascular disease prevention partnership networks. Density and betweenness centrality scores at the node- and network-level were calculated for each partnership network using UCINET© network analysis software. Common data patterns were then extracted using a multiple case study format.

RESULTS

Network density scores ranged from 0.50 to 1.00 (M = 0.84, SD = 0.14) for information sharing and 0.43-1.00 (M = 0.77, SD = 0.15) for joint planning. Centralization indices ranged from 0.00 to 0.11 (M = 0.04, SD = 0.03), and 0.00-0.17 (M = 0.06, SD = 0.05), respectively. Overall, 73.33 % of communities were successful in meeting their partnership goals.

CONCLUSIONS

When planning and implementing interorganizational networks, high betweenness centrality and more hierarchically structured networks were identified as the most salient partnership characteristics to programmatic success. The network findings were triangulated with previously published qualitative data to provide context. These findings provide valuable insight on how national networks can be designed and leveraged to implement systematic community health projects.

Using network analysis to conduct a system-wide program evaluation within a university

OBJECTIVE

To conduct a system-wide assessment using social network analysis (SNA) to examine how 14 important issues (e.g., consent; racism) are addressed through education, training, and programming at a university.

METHODS

Evaluators conducted interviews with campus departments responsible for educating/training on the 14 issues. Interviews revealed which programs (n = 52) were offered that addressed the 14 issues, and data on audience characteristics, date of delivery, and which issues were covered in each program were collected. SNA was used to calculate degree and create visualization graphs illustrating patterns of content-coverage across all 52 programs.

RESULTS

The average degree was 19.38 (SD = 9.70), meaning programs overlapped in topic area with nearly 20 other programs, on average. Most programs (n = 36; 69.2 %) were attended by audiences of 500 people or less. "Diversity and inclusion" represented the topic area with the most programs (n = 23), whereas "suicide" and "bullying/hazing" had the least number of programs (n = 3). Degree was negatively correlated with attendance numbers (r=-.310, p < .001), indicating the more a program overlapped in content with other programs, the smaller the audience.

CONCLUSIONS

This study supports the use of network analysis in conducting systemic evaluations of programs offered at a university, complementing the work of ongoing, local-level program evaluations.

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.

Are health care providers making the most of patient encounters to promote HPV vaccination among cigarette smokers?

OBJECTIVE

To examine providers' HPV vaccine communication among adult cigarette smokers with household members aged ≤26 years.

METHODS

In this cross-sectional study, we used 2017 Health Information National Trends Survey (HINTS 5, Cycle 1; N = 3191) data to derive a subsample (n = 725/3191; 22.7%) of adults with household members aged ≤26 years. Forward stepwise multivariable logistic regression analyses were performed to examine providers' HPV vaccine communication, adjusting for patients' smoking status (main independent variable); HPV awareness and knowledge; HPV vaccine awareness and beliefs; and sociodemographic characteristics that contribute to disparities in HPV vaccine coverage.

RESULTS

Current/former smokers (35.0%) had lower HPV-related awareness/knowledge than nonsmokers (65%). Few reported providers discussed (27.4%) or recommended (24.0%) HPV vaccine. Non-Hispanic Whites who knew HPV was a sexually transmitted disease and heard of HPV vaccine were 2-6 times more likely to report provider HPV vaccine communication. Provider HPV vaccine communication differences by smoking status were not statistically significant.

CONCLUSION

Providers' HPV vaccine communication was higher among adults who had higher HPV-related awareness/knowledge. Although active/passive exposure to cigarette smoke increases cervical cancer risk, providers' HPV vaccine communication was not increased for current/former smokers.

PRACTICE IMPLICATIONS

Current/former smokers' HPV-related awareness/knowledge and providers' HPV vaccine communication need to be increased.

Social network analysis for assessing college-aged adults' health: A systematic review

OBJECTIVE

Social network analysis (SNA) is a useful, emerging method for studying health. College students are especially prone to social influence when it comes to health. This review aimed to identify network variables related to college student health and determine how SNA was used in the literature.

PARTICIPANTS

A systematic review of relevant literature was conducted in October 2015.

METHODS

Studies employing egocentric or whole network analysis to study college student health were included. We used Garrard's Matrix Method to extract data from reviewed articles (n = 15).

RESULTS

Drinking, smoking, aggression, homesickness, and stress were predicted by network variables in the reviewed literature. Methodological inconsistencies concerning boundary specification, data collection, nomination limits, and statistical analyses were revealed across studies.

CONCLUSIONS

Results show the consistent relationship between network variables and college health outcomes, justifying further use of SNA to research college health. Suggestions and considerations for future use of SNA are provided.

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.

Impact of percutaneous coronary intervention timing on 5-year outcome in patients with non-ST-segment elevation acute coronary syndromes. The 'wait a day' approach might be safer

Background

The OPTIMA trial was a randomised multicentre trial exploring the influence of the timing of percutaneous coronary intervention (PCI) on patient outcomes in an intermediate to high risk non-ST-elevation acute coronary syndrome (NSTE-ACS) population. In order to decide the best treatment strategy for patients presenting with NSTE-ACS, long-term outcomes are essential.

Methods

Five-year follow-up data from 133 of the 142 patients could be retrieved (94 %). The primary endpoint was a composite of death and spontaneous myocardial infarction (MI). Spontaneous MI was defined as MI occurring more than 30 days after randomisation. Secondary endpoints were the individual outcomes of death, spontaneous MI or re-PCI.

Results

No significant difference with respect to the primary endpoint was observed (17.8 vs. 10.1 %; HR 1.55, 95 % CI: 0.73–4.22, p = 0.21). There was no significant difference in mortality rate. However, spontaneous MI was significantly more common in the group receiving immediate PCI (11.0 vs. 1.4 %; HR 4.46, 95 % CI: 1.21–16.50, p = 0.02). We did not find a significant difference between the groups with respect to re-PCI rate.

Conclusion

There was no difference in the composite of death and spontaneous MI. The trial suggests an increased long-term risk of spontaneous MI for patients treated with immediate PCI.

Physical Activity-Related Policy and Environmental Strategies to Prevent Obesity in Rural Communities: A Systematic Review of the Literature, 2002-2013

INTRODUCTION

Health disparities exist between rural and urban residents; in particular, rural residents have higher rates of chronic diseases and obesity. Evidence supports the effectiveness of policy and environmental strategies to prevent obesity and promote health equity. In 2009, the Centers for Disease Control and Prevention recommended 24 policy and environmental strategies for use by local communities: the Common Community Measures for Obesity Prevention (COCOMO); 12 strategies focus on physical activity. This review was conducted to synthesize evidence on the implementation, relevance, and effectiveness of physical activity-related policy and environmental strategies for obesity prevention in rural communities.

METHODS

A literature search was conducted in PubMed, PsycINFO, Web of Science, CINHAL, and PAIS databases for articles published from 2002 through May 2013 that reported findings from physical activity-related policy or environmental interventions conducted in the United States or Canada. Each article was extracted independently by 2 researchers.

RESULTS

Of 2,002 articles, 30 articles representing 26 distinct studies met inclusion criteria. Schools were the most common setting (n = 18 studies). COCOMO strategies were applied in rural communities in 22 studies; the 2 most common COCOMO strategies were "enhance infrastructure supporting walking" (n = 11) and "increase opportunities for extracurricular physical activity" (n = 9). Most studies (n = 21) applied at least one of 8 non-COCOMO strategies; the most common was increasing physical activity opportunities at school outside of physical education (n = 8). Only 14 studies measured or reported physical activity outcomes (10 studies solely used self-report); 10 reported positive changes.

CONCLUSION

Seven of the 12 COCOMO physical activity-related strategies were successfully implemented in 2 or more studies, suggesting that these 7 strategies are relevant in rural communities and the other 5 might be less applicable in rural communities. Further research using robust study designs and measurement is needed to better ascertain implementation success and effectiveness of COCOMO and non-COCOMO strategies in rural communities.