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Background: The risk of recurrence of stroke has been found to be modifiable through changes in health behavior and reducing key risk factors such as hypertension. Evidence suggests social networks can influence health behaviors and health outcomes; however, there is a lack of literature on the relationship between stroke survivor’s social network and secondary prevention efforts. In this study, we assessed the association between social network structure and systolic blood pressure (SBP) reduction at one-year post stroke. Methods: Using data from the DESERVE (Discharge Educational Strategies for Reduction of Vascular Events) trial, we assessed the social networks of 552 participants who have had a mild/moderate stroke or transient ischemic attack (TIA). At baseline enrollment, participants were asked to identify up to 5 persons, or “alters,” with whom they discuss important matters, such as health. The data on the alters were then classified into structural and functional characteristics. The combination of the number of alters and the amount of alters that met the “optimal” level for each characteristic were used to determine the characteristics of the social network. We used linear regression models to quantify the SBP change on social network characteristics adjusting for age, gender, race-ethnicity, education, marital status, and prior stroke history. Results: Stronger social networks were associated with greater SBP reduction. The overall mean SBP reduction at 12-month follow-up was 5.6 (±24.5) mmHg. On fully adjusted models having 3-5 alters compared to none (mean SBP reduction of 11.4 mmHg, p = 0.01) and having a family and friend network compared to a family-only network (mean SBP reduction of 7.6 mmHg, p = 0.01) were significantly associated with a larger SBP reduction. Conclusion: Social networks may play an important role in blood pressure reduction in patients post stroke. Future interventions should involve social networks to help reduce vascular risk and enhance secondary prevention efforts.

Despite progress made in the treatment and care of people living with HIV (PLWH), HIV-related stigma has remained persistent. Health care settings and workers have been identified as important sources of stigma. Studies have addressed the construct of stigma in U.S. health care settings, but mainly from the perspectives of PLWH. We used Grounded Theory to understand how health care workers conceptualized HIV-related stigma and to develop a model to project a purposive view of stigma in health care settings. Our model indicates that stigma may be rooted in historically derogatory representations of HIV and intensified by power inequalities. Stigma may be triggered by fear, inadequate clinical education and training, unintentional behaviors, and limited contact with PLWH. Study participants perceived stigma as injurious to patient and provider health outcomes. Additional research on provider perceptions of stigma and programs that encourage empowerment, communication, and training may be necessary for stigma reduction.

HIV stigma is a harmful social phenomenon present in United States (US)-based health care settings. This study assessed the efficacy of a participatory PhotoVoice-informed stigma reduction training program focusing on people living with HIV (PLWH) and targeting health care workers. Seventy-three (N = 73) participants were assessed at baseline (T1), within approximately a week of the training (T2), and at a 3-month follow-up (T3) regarding their HIV/AIDS knowledge, attitudes towards PLWH, and observations of enacted HIV stigma. Findings indicated that the training increased knowledge and improved attitudes (β = 0.56, p 0.01; β = 0.58, p 0.01, respectively) at T2, but these effects diminished at T3 (β = - 0.03, p 0.05; β = - 0.29, p 0.05, respectively). The training did not, however, have an impact on observations of enacted stigma at T2 (β = 0.10, p 0.05) or at T3 (β = 0.02, p 0.05). Additional participatory stigma reduction programs that involve diverse groups of health care workers, offer salient study incentives, include time-saving training methods, and comprise a variety of stigma measures, may be particularly beneficial.

Recordings of smartphone use for contacts are increasingly being used as alternative or supplementary measurement methods for social interactions and social relations in the health sciences. Less work has been done to understand how these measures compare with widely used survey-based information. Using data from the Copenhagen Network Study, we investigated whether derived survey and smartphone measures on two widely studied concepts; Social integration and Tie strength were associated. The study population included 737 college students (mean age 21.6 years, Standard deviation: 2.6), who were followed with surveys and continuous recordings of smartphone usage over a one-month period. We derived self-reported and smartphone measures of social integration (social role diversity, social network size), and tie strength (contact frequency, duration and tie reciprocity). Logistic regression models were used to assess the associations between smartphone derived and self-reported measures adjusting for gender, age and co-habitation. Larger call and text message networks were associated with having a high self-reported social role diversity, and a high self-reported social contact frequency was likewise associated with having both frequent call and text message interactions, longer call duration and a higher level of reciprocity in call and text message communication. Self-reported aspects of social relations and smartphone measures of social interactions have considerable overlap supporting a measurement of similar underlying concepts.

Social support from peers and parents provides a key socialization function during adolescence. We examine adolescent friendship networks using a Stochastic Actor-Based modeling approach to observe the flow of emotional support provision to peers and the effect of support from parents, while simultaneously modeling smoking behavior. We utilized one school (n = 976) from The National Longitudinal Study of Adolescent to Adult Health (AddHealth) Study. Our findings suggest that emotional support is transacted through an interdependent contextual system, comprised of both peer and parental effects, with the latter also having distal indirect effects from youths' friends' parents.

Background: Human papillomavirus (HPV) is arguably the most prevalent sexually transmitted infection, and has been linked to a variety of health complications including cervical cancer, anal cancer, and anogenital warts. The HPV vaccine can prevent these health complications, but few studies have investigated the specific factors that impact HPV vaccine uptake. Methods: Two hundred seventy-five male and female high school students were surveyed in an ethnically diverse school district in southern California regarding HPV vaccine uptake and perceptions. Results: Less than one third of students reported their physician had discussed HPV vaccine with them, and fewer still for males (p

Using data from a study of high risk adolescents in Southern California, U.S.A. (N = 851), this study examined synergy between social network measures of social integration and peer influence in relation to past month cigarette smoking. Using Hierarchical Linear Modeling, results indicated that being central in networks was significantly and positively related to past month cigarette smoking, across all study models. In addition, there is modest evidence that the number of reciprocated friendship ties was positively related to past month cigarette smoking. There is also some modest evidence that the relationship between having reciprocated friendships and past month cigarette smoking was moderated by a network peer influence process, smoking with those in youths’ best friend networks. Findings indicate that being integrated within a social network context of peer influences favoring drug use relates to more smoking among these high risk youth.

Strategies to address this potent barrier to treatment and prevention.

BackgroundWe evaluated a novel Twitter-delivered intervention for smoking cessation, Tweet2Quit, which sends daily, automated communications to small, private, self-help groups to encourage high-quality, online, peer-to-peer discussions.DesignA 2-group randomised controlled trial assessed the net benefit of adding a Tweet2Quit support group to a usual care control condition of nicotine patches and a cessation website.ParticipantsParticipants were 160 smokers (4 cohorts of 40/cohort), aged 18–59 years, who intended to quit smoking, used Facebook daily, texted weekly, and had mobile phones with unlimited texting.InterventionAll participants received 56 days of nicotine patches, emails with links to the smokefree.gov cessation website, and instructions to set a quit date within 7 days. Additionally, Tweet2Quit participants were enrolled in 20-person, 100-day Twitter groups, and received daily discussion topics via Twitter, and daily engagement feedback via text.MeasuresThe primary outcome was sustained abstinence at 7, 30 and 60 days post-quit date.ResultsParticipants (mean age 35.7 years, 26.3% male, 31.2% college degree, 88.7% Caucasian) averaged 18.0 (SD=8.2) cigarettes per day and 16.8 (SD=9.8) years of smoking. Participants randomised to Tweet2Quit averaged 58.8 tweets/participant and the average tweeting duration was 47.4 days/participant. Tweet2Quit doubled sustained abstinence out to 60 days follow-up (40.0%, 26/65) versus control (20.0%, 14/70), OR=2.67, CI 1.19 to 5.99, p=0.017. Tweeting via phone predicted tweet volume, and tweet volume predicted sustained abstinence (pConclusionsTweet2Quit was engaging and doubled sustained abstinence. Its low cost and scalability makes it viable as a global cessation treatment.Trial registration numberNCT01602536.

© 2014, Springer Science+Business Media New York.Peer and parental influences are critical socializing forces shaping adolescent development, including the co-evolving processes of friendship tie choice and adolescent smoking. This study examines aspects of adolescent friendship networks and dimensions of parental influences shaping friendship tie choice and smoking, including parental support, parental monitoring, and the parental home smoking environment using a Stochastic Actor-Based model. With data from three waves of the National Longitudinal Study of Adolescent Health of youth in grades 7 through 12, including the In-School Survey, the first wave of the In-Home survey occurring 6 months later, and the second wave of the In-Home survey, occurring one year later, this study utilizes two samples based on the social network data collected in the longitudinal saturated sample of sixteen schools. One consists of twelve small schools (n = 1,284, 50.93 % female), and the other of one large school (n = 976, 48.46 % female). The findings indicated that reciprocity, choosing a friend of a friend as a friend, and smoking similarity increased friendship tie choice behavior, as did parental support. Parental monitoring interacted with choosing friends who smoke in affecting friendship tie choice, as at higher levels of parental monitoring, youth chose fewer friends that smoked. A parental home smoking context conducive to smoking decreased the number of friends adolescents chose. Peer influence and a parental home smoking environment conducive to smoking increased smoking, while parental monitoring decreased it in the large school. Overall, peer and parental factors affected the coevolution of friendship tie choice and smoking, directly and multiplicatively.

Although stochastic actor based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing network data for longitudinal analysis. We explore this issue in our research note by utilizing data from four schools in an existing dataset (the AddHealth dataset) over three time points, assessing the substantive consequences of using four different strategies for addressing missing network data. The results indicate that whereas some measures in such models are estimated relatively robustly regardless of the strategy chosen for addressing missing network data, some of the substantive conclusions will differ based on the missing data strategy chosen. These results have important implications for this burgeoning applied research area, implying that researchers should more carefully consider how they address missing data when estimating such models.

©Cornelia Pechmann, Li Pan, Kevin Delucchi, Cynthia M Lakon, Judith J Prochaska. Background: The medical field seeks to use social media to deliver health interventions, for example, to provide low-cost, self-directed, online self-help groups. However, engagement in online groups is often low and the informational content may be poor. Objective: The specific study aims were to explore if sending automessages to online self-help groups encouraged engagement and to see if overall or specific types of engagement related to abstinence. Methods: We conducted a Stage I Early Therapy Development Trial of a novel social media intervention for smoking cessation called Tweet2Quit that was delivered online over closed, 20-person quit-smoking groups on Twitter in 100 days. Social media such as Twitter traditionally involves non-directed peer-to-peer exchanges, but our hybrid social media intervention sought to increase and direct such exchanges by sending out two types of autocommunications daily: (1) an "automessage" that encouraged group discussion on an evidence-based cessation-related or community-building topic, and (2) individualized "autofeedback" to each participant on their past 24-hour tweeting. The intervention was purposefully designed without an expert group facilitator and with full automation to ensure low cost, easy implementation, and broad scalability. This purely Web-based trial examined two online quit-smoking groups with 20 members each. Participants were adult smokers who were interested in quitting and were recruited using Google AdWords. Participants' tweets were counted and content coded, distinguishing between responses to the intervention's automessages and spontaneous tweets. In addition, smoking abstinence was assessed at 7 days, 30 days, and 60 days post quit date. Statistical models assessed how tweeting related to abstinence. Results: Combining the two groups, 78% (31/40) of the members sent at least one tweet; and on average, each member sent 72 tweets during the 100-day period. The automessage-suggested discussion topics and participants' responses to those daily automessages were related in terms of their content (r=.75, P=.012). Responses to automessages contributed 22.78% (653/2867) of the total tweets; 77.22% (2214/2867) were spontaneous. Overall tweeting related only marginally to abstinence (OR 1.03, P=.086). However, specific tweet content related to abstinence including tweets about setting of a quit date or use of nicotine patches (OR 1.52, P=.024), countering of roadblocks to quitting (OR 1.76, P=.008) and expressions of confidence about quitting (OR 1.71, SE 0.42, P=.032). Questionable, that is, non-evidence-based, information about quitting did not relate to abstinence (OR 1.12, P=.278). Conclusions: A hybrid social media intervention that combines traditional online social support with daily automessages appears to hold promise for smoking cessation. This hybrid approach capitalizes on social media's spontaneous real-time peer-to-peer exchanges but supplements this with daily automessages that group members respond to, bolstering and sustaining the social network and directing the information content. Highly engaging, this approach should be studied further. Trial Registration: Clinicaltrials.gov NCT01602536; https://clinicaltrials.gov/ct2/show/NCT01602536 (Archived by WebCite at http://www.webcitation.org/6WGbt0o1K).

Drug injector social networks are a primary social space in which risky needle use behaviors associated with HIV transmission occur, but the mechanisms through which these social networks influence risky needle use are unclear. This study investigated two mechanisms, social support and social regulation, through which injection drug users' social networks might relate to risky needle use behaviors. We investigated how these mechanisms work in three types of social networks, namely, drug user, sex partner, and friendship networks. Data are from a study of HIV risk and protective behaviors of youth and young adults, ages 14-43, in the United States who were injection drug users and/or the sexual partners of users (N = 277). The three types of networks were constructed based on information respondents provided about their drug use partners, sexual partners, and friends. The networks were characterized by structural (i.e., size and density) and interactional (i.e., multiplexity and closeness) characteristics. We conducted tests for mediation using ordered probit models and multiple linear regression. In the drug networks, social regulation partially meditated the relationship between multiplexity and risky needle use (p

INTRODUCTION The contentious debate over the promotion of Swedish snus, a form of moist snuff, as an alternative to cigarettes has often focused on the product's potential as a gateway to smoking. Findings from prospective studies in the United States have suggested that smokeless tobacco (SLT) is a significant predictor of smoking onset, before and after adjustment for baseline covariates. Use of conventional regression methods in these studies may have resulted in biased parameter estimates, arising from imbalanced covariate distributions in the users and nonusers of SLT. An alternative approach, which has been used widely in the econometric literature, matches exposure or treatment levels on the basis of the propensity score distribution. METHODS Using this approach, we matched current SLT users from the National Longitudinal Study of Adolescent Health with nonusers (496 pairs) and followed them from adolescence into young adulthood for determination of smoking status. RESULTS Prior to matching, the unadjusted risk of becoming a daily smoker was significantly greater for the SLT users compared with nonusers (n = 10,820; range of relative risk = 1.3-2.0, p < .001). However, after pairing individuals on propensity score, we found no evidence for an increased risk of smoking among the SLT users. DISCUSSION Baseline differences in the risk factors for smoking likely account for the association between the two tobacco products.