Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review

Social Network Analysis of Self-Management Behavior Among Older Adults With Diabetes

OBJECTIVE

This study explores the influence of social network structures on self-management behaviors among older adults with diabetes in rural Korean villages, focusing on dietary management, physical activity, and blood glucose monitoring.

DESIGN

Employing social network analysis (SNA), the study assessed network structures in three villages, focusing on variations in degree, closeness, and betweenness centralities to understand their impact on health behavior dissemination and adoption.

RESULTS

The analysis identified significant differences in network configurations across the villages. Village C, characterized by the highest closeness centrality, facilitated the efficient diffusion of health-related information, thereby promoting the rapid adoption of self-management behaviors. In contrast, Village B exhibited a prominent central node with considerable influence, underscoring its potential as a strategic focal point for targeted health interventions.

CONCLUSION

Social network analysis is useful for identifying influential nodes within community structures to enhance chronic disease management strategies. By tailoring interventions to the unique attributes of a community's network, significant improvements in diabetes self-care efficacy can be achieved. This approach presents a scalable and sustainable framework for community-oriented health interventions. It provides a foundation for further research into the structural and functional dynamics of diabetes self-management networks.

A Social Network Lens to Community Health Worker Influence and Impact

Community Health Workers (CHWs) are members of healthcare teams that are integrated in, and often share language, beliefs, and lived experiences with their communities. They use their formal and informal social networks to promote healthy behavior, to connect community members to resources, and to build more resilient community networks. We propose a framework to conceptualize CHW interventions aiming to operationalize and optimize CHW social relations and networks. CHW-mediated network interventions can focus on the dissemination and diffusion of health messages, using the channels of trust and formal and informal relations, as well as, engaging communities to enhance the cascade of spreading/diffusion. Network interventions can also focus on network-building and community dialog, relying on the role of CHWs in bringing the community members together in facilitating conversation, promoting social justice and inclusion, and mobilizing the community in collective action. In addition, the network interventions can aim for boundary-spanning and bridging activities, to facilitate the community's access to health services and external resources, as well as bringing the community voice to health systems to influence priorities and policies. Similar to any other complex interventions, CHW network interventions should be fine-tuned and adapted to local and community needs, capacities, and network structures, and actively involve community members in the conceptualization, delivery, and evaluation.

Using a Social Network Approach to Characterize Oral Health Behavior Social Support Among Mexican-Origin Young Adults

Using a social network approach, we characterize who Mexican-origin young adults perceive as social support sources for oral health behaviors and provide additional validity evidence for Oral Health Behavior Social Support Scales (OHBSS). From April to September 2022, we gathered social network data from 62 Mexican-origin adults (21-40 years old) through Zoom interviews about their perceived received social support for three oral health behaviors (toothbrushing, flossing, and obtaining dental care) from three potential sources of support (family, health providers, and others/friends). Overall, we found similar results across all three oral health behaviors. We also found evidence for convergent and discriminant validity of OHBSS scales using social network measures. Implications of findings are discussed.

Studying factual versus social cues as triggers of change in food behaviour

Numerous public initiatives aim to influence individual food choices by informing about what is considered 'healthy', 'climate-friendly', and generally 'sustainable' food. However, research suggests that rather than public authorities, social influence is more likely to affect people's behaviour. Using a randomised controlled trial, this study investigated if and how the two kinds of influences (factual versus social) could affect the real-life, self-reported intake of plant- and animal-based foods. In a four-month randomised controlled trial, a self-selected sample of adults living in Sweden (N = 237) tracked their daily food consumption several times per week using a tailored mobile phone app. Participants were randomised into one of three groups: two treatment groups receiving factual or social information about plant- and animal-based food consumption, or a control group receiving no information. Pre- and post-questionnaires provided additional background information about the participants. Participants' food habits varied from week to week, and an explorative analysis pointed to a slight decrease in the consumption of animal-based food in the group that received social information. However, the longer-term patterns remained relatively constant in all groups, showing no substantial shift regardless of the kind of cues that the participants received. By investigating the roles of two common types of information about food and dietary change, the results contribute to discussions about how and by whom effective and efficient measures can be implemented to transform food habits. The results suggest there is limited potential for sustained and substantial behavioural changes through both social and factual information campaigns.

RETRACTED ARTICLE: Social media analytics and their applications to evaluate an activity in online health interventions using CRITIC and TOPSIS techniques

The usage of social media is increasing by leaps and bounds in our day-to-day lives. It affects daily routines and brings a lot of change in different departments like health and education systems during the COVID-19 pandemic. Healthcare research and practice have been significantly impacted by the astounding growth of social media. Social media are changing health information management in several ways, from offering appropriate ways to enhance healthcare professional contact and share health-related knowledge and experience to facilitating the development of innovative medical research and wisdom. Social media analytics (SMAs) are efficient and effective interaction instruments that can be useful for both patients and clinicians in health interventions. Moreover, a significant portion of those involved in clinical practices (such as clinicians, professional colleges, and departments of health) are unaware of the importance of social media, its potential applications in their daily lives, as well as the possible consequences and how these will be handled. In the presented study, we proposed MCDM-based approaches known as "Criteria Importance Through Inter Correlation" (CRITIC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in order to identify the effective alternative among several options and make a better decision. After extracting features from the literature review, we choose six significant and relevant features and assign weights to them using CRITIC techniques while utilizing the TOPSIS technique to rank the alternatives based on their performance values. After the implementation of both methods and evaluation procedure, it is determined that the alternative with the highest score is placed at the top and called the "best alternative," while the alternative with the lowest score is placed at the bottom and called the worst alternative. Finally, we suggest a variety of research initiatives and new research areas where the aforementioned procedures become extremely useful in evaluating SMAs and their uses in online health interventions.

Advancing and strengthening the study of social networks in community-level dissemination and implementation research: A narrative review

The dissemination and implementation (D&I) of evidence at the community level is critical to improve health and advance health equity. Social networks are considered essential to D&I efforts, but there lacks clarity regarding how best to study and leverage networks. We examined networks in community-level D&I frameworks to characterize the range of network actors, activities, and change approaches. We conducted a narrative review of 66 frameworks. Among frameworks that explicitly addressed networks - that is, elaborated on network characteristics, structure, and/or activities - we extracted and synthesized network concepts using descriptive statistics and narrative summaries. A total of 24 (36%) frameworks explicitly addressed networks. Commonly included actors were implementers, adopters/decision-makers, innovation developers, implementation support professionals, and innovation recipients. Network activities included the exchange of resources, knowledge, trust, and norms. Most network-explicit frameworks characterized ties within and across organizations and considered element(s) of network structure - for example, size, centrality, and density. The most common network change strategy was identifying individuals to champion D&I efforts. We discuss opportunities to expand network inquiry in D&I science, including understanding networks as implementation determinants, leveraging network change approaches as implementation strategies, and exploring network change as an implementation outcome.

Effects of graphene far-infrared and social network interventions on depression, anxiety and dementia in older adults

BACKGROUND

Five-guaranteed elderly individuals are a special group of the elderly Chinese population faced with unique challenges; these individuals lack any financial resources (including support by relatives), and are solely reliant on the government to provide food, clothing, medical care, and housing as well as burials. In this article, we aim to investigate mood problems (depression, anxiety) and cognitive functioning in Five-guaranteed elderly individuals, and to validate the effectiveness of two promising interventions, graphene far-infrared intervention (GFII; an exploratory and noninvasive technique) and social network intervention (SNI), for elderly people to lay the foundation for future social service work.

METHODS

To address the emotional and cognitive difficulties experienced by this special group, we designed this study, which is the first to apply GFII in this population. We also administered SNI given the social isolation of these individuals, in addition to a corresponding control group. 108 elderly individuals in 3 elder care facilities were screened to evaluate eligibility to participate in the current study, including 44 from Facility A (allocated to the GFII group), 43 from Facility B (allocated to the SNI group), and 21 from Facility C (allocated to the control group). GFII lasts for four weeks, with professionally trained carers putting on and removing intervention caps for half an hour each day. SNI lasts for three weeks, three times a week, and consists of a total of nine themed activities. The length of an activity is 90 min. We also did pre- and post-test comparisons of depression, anxiety and cognition in each group of older adults.

RESULTS

The results showed that GFII led to immediate improvements in anxiety and cognitive impairment in the five-guaranteed elderly individuals, and the improvement in cognitive function was sustained over time. Moreover, SNI group showed significant improvements in cognitive function after the intervention period.

CONCLUSIONS

The GFII is a promising intervention that can be applied to intervene in cognitive and mood disorders in older adults. The GFII has short-term interventions for anxiety in older adults, but long-term effects for cognitive impairment. SNI also had an interventional effect on cognition.

Exploring the Views of Barbers and Stylists on the Acceptability of Delivering Community-Based Interventions to Promote COVID-19 Testing and Vaccination in South Carolina

BACKGROUND

The COVID-19 pandemic has underscored the need for effective community-based interventions to promote disease prevention and reach high-risk, underserved communities. Trusted community leaders like barbers and stylists may serve as effective conduits for intervention implementation. This study aimed to explore the perceived acceptability of an intervention to promote COVID-19 testing and vaccination delivered by barbers in South Carolina.

METHODS

We conducted exploratory in-depth interviews to ascertain barbers' and stylists' perceptions and identify potential barriers and facilitators. Data analysis used a deductive coding approach to identify themes and was guided by the Theoretical Framework of Acceptability.

RESULTS

Sixteen participants were interviewed. Participants expressed positive reactions towards the interventions. Acceptability was influenced by strong trust relationships with clients, perceived community influence, self-efficacy in providing the intervention, and a shared sense of responsibility for community health. However, potential barriers included declining public concern about COVID-19, vaccine hesitancy, and limited COVID-19 knowledge among barbers and stylists. Participants emphasized the need for training and incentives for effective and sustained intervention delivery.

CONCLUSIONS

Barbers and stylists are well-positioned to promote COVID-19 testing and vaccination due to their trusted roles and community influence. Given the complacency from the waning perceived COVID-19 threat and the historical mistrust in health interventions, vaccine hesitancy must be addressed through supportive communication strategies.

Network spillover effects associated with the ChooseWell 365 workplace randomized controlled trial to promote healthy food choices

Food choices are closely linked to culture, social relationships, and health. Because many adults spend up to half their time at work, the workplace provides a venue for changing population health-related behaviors and norms. It is unknown whether the effects of a workplace intervention to improve health behaviors might spread beyond participating employees due to social influence. ChooseWell 365 was a randomized controlled trial testing a 12-month healthy eating intervention grounded in principles of behavioral economics. This intervention leveraged an existing cafeteria traffic-light labeling system (green = healthy; red = unhealthy) in a large hospital workplace and demonstrated significant improvements in healthy food choices by employees in the intervention vs. control group. The current study used data from over 29 million dyadic purchasing events during the trial to test whether social ties to a trial participant co-worker (n = 299 intervention, n = 302 control) influenced the workplace food choices of non-participants (n = 7900). There was robust evidence that non-participants who were socially tied to more intervention group participants made healthier workplace food purchases overall, and purchased a greater proportion of healthy (i.e., green) food and beverages, and fewer unhealthy (i.e., red) beverages and modest evidence that the benefit of being tied to intervention participants was greater than being tied to control participants. Although individual-level effect sizes were small, a range of consistent findings indicated that this light-touch intervention yielded spillover effects of healthy eating behaviors on non-participants. Results suggest that workplace healthy eating interventions could have population benefits extending beyond participants.

Choices of measures of association affect the visualisation and composition of the multimorbidity networks

BACKGROUND

Network analysis, commonly used to describe the patterns of multimorbidity, uses the strength of association between conditions as weight to classify conditions into communities and calculate centrality statistics. Our aim was to examine the robustness of the results to the choice of weight.

METHODS

Data used on 27 chronic conditions listed on Australian death certificates for women aged 85+. Five statistics were calculated to measure the association between 351 possible pairs: odds ratio (OR), lift, phi correlation, Salton cosine index (SCI), and normalised-joint frequency of pairs (NF). Network analysis was performed on the 10% of pairs with the highest weight according to each definition, the 'top pairs'.

RESULTS

Out of 56 'top pairs' identified, 13 ones were consistent across all statistics. In networks of OR and lift, three of the conditions which did not join communities were among the top five most prevalent conditions. Networks based on phi and NF had one or two conditions not part of any community. For the SCI statistics, all three conditions which did not join communities had prevalence below 3%. Low prevalence conditions were more likely to have high degree in networks of OR and lift but not SCI.

CONCLUSION

Use of different statistics to estimate weights leads to different networks. For exploratory purposes, one may apply alternative weights to identify a large list of pairs for further assessment in independent studies. However, when the aim is to visualise the data in a robust and parsimonious network, only pairs which are selected by multiple statistics should be visualised.

Building Family Interventions for Scalability and Impact

Family nursing researchers are charged with addressing the conceptual and methodological underpinnings of family research when developing family-focused interventions. Step-by-step guidance is needed that integrates current science of intervention development with family science and helps researchers progress from foundational work to experimental work with policy integration. The purpose of this manuscript is to provide pragmatic, evidence-based guidance for advancing family intervention research from foundational work through efficacy testing. Guidance regarding the development of family interventions is presented using the first three of Sidani's five-stage method: (a) foundational work to understand the problem targeted for change; (b) intervention development and assessment of acceptability and feasibility; and (c) efficacy testing. Each stage of family intervention development is described in terms of process, design considerations, and policy and practice implications. Examples are included to emphasize the family lens. This manuscript provides guidance to family scientists for intervention development and implementation to advance family nursing science and inform policy.

Perceived loss of support to community caregivers during the COVID-19 pandemic in the United States

Coronavirus disease (COVID-19) had a negative impact on the health and well-being of community caregivers. Few studies examine the pandemic's negative impact on the availability of social networks of caregivers. This article uses data collected during COVID-19 before vaccination to examine caregivers' reports of perceived lost and reduced network support. We assessed the personal networks of a nationally representative sample of 2214 community caregivers in the United States. We analyzed associations between caregiving factors and caregivers' perceptions of lost and reduced network support. Changes in care recipient living circumstances during COVID-19, longer-term caregiving, care recipient hearing/vision/mobility problems, caregiver travel/socializing restrictions, caregiver race/ethnicity, caregiver income, caregiver age, network connectivity, family relationships, and network members' age were associated with perceived lost/reduced support during the pandemic. Findings provide insights for the development of social network interventions to support caregivers and help them cultivate support networks resilient to public health crises.

How social networks influence the local implementation of initiatives developed in quality improvement collaboratives in health care: A qualitative process study

BACKGROUND

Quality improvement collaboratives (QICs) have facilitated cross-organizational knowledge exchange in health care. However, the local implementation of many quality improvement (QI) initiatives continues to fail, signaling a need to better understand the contributing factors. Organizational context, particularly the role of social networks in facilitating or hindering implementation within organizations, remains a potentially critical yet underexplored area to addressing this gap.

PURPOSE

We took a dynamic process perspective to understand how QI project managers' social networks influence the local implementation of QI initiatives developed through QICs.

METHODOLOGY

We explored the case of a QIC by triangulating data from an online survey, semistructured interviews, and archival documents from 10 organizations. We divided implementation into four stages and employed qualitative text analysis to examine the relationship between three characteristics of network structure (degree centrality, network density, and betweenness centrality) and the progress of each QI initiative.

RESULTS

The progress of QI initiatives varied considerably among organizations. The transition between stages was influenced by all three network characteristics to varying degrees, depending on the stage. Project managers whose QI initiatives progressed to advanced stages of implementation had formed ad hoc clusters of colleagues passionate about the initiatives.

CONCLUSION

Implementing QI initiatives appears to be facilitated by the formation of clusters of supportive individuals within organizations; this formation requires high betweenness centrality and high network density.

PRACTICE IMPLICATIONS

Flexibly modifying specific network characteristics depending on the stage of implementation may help project managers advance their QI initiatives, achieving more uniform results from QICs.

Social Network Analysis in Undergraduate and Postgraduate Medical Education: A Scoping Review

PURPOSE

Social network analysis (SNA) is a theoretical framework and analytical approach used to study relationships among individuals and groups. While SNA has been employed by many disciplines to understand social structures and dynamics of interpersonal relationships, little is known about its use in medical education. Mapping and synthesizing the scope of SNA in undergraduate and postgraduate medical education can inform educational practice and research.

METHOD

This scoping review was based on searches conducted in Medline, Embase, Scopus, and ERIC in December 2020 and updated in March 2022. After removal of duplicates, the search strategy yielded 5,284 records, of which 153 met initial inclusion criteria. Team members conducted full-text reviews, extracted relevant data, and conducted descriptive and thematic analyses to determine how SNA has been used as a theoretical and analytical approach in undergraduate and postgraduate medical education.

RESULTS

Thirty studies, from 11 countries, were retained. Most studies focused on undergraduate medical students, primarily in online environments, and explored students' friendships, information sharing, and advice seeking through SNA. Few studies included residents and attending staff. Findings suggested that SNA can be a helpful tool for monitoring students' interactions in online courses and clinical clerkships. SNA can also be used to examine the impact of social networks on achievement, the influence of social support and informal learning outside the classroom, and the role of homophily in learning. In clinical settings, SNA can help explore team dynamics and knowledge exchange among medical trainees.

CONCLUSIONS

While SNA has been underutilized in undergraduate and postgraduate medical education, findings indicate that SNA can help uncover the structure and impact of social networks in the classroom and the clinical setting. SNA can also be used to help design educational experiences, monitor learning, and evaluate pedagogical interventions. Future directions for SNA research in medical education are described.

The importance of self-regulation and mental health for effective recovery after traffic injuries: A comprehensive network analysis approach

OBJECTIVE

Traffic injuries significantly impact people's psychological, physical and social wellbeing, and involve complex self-regulation responses. Psychological impacts are seldom recognized and addressed holistically. This study employs network analysis to investigate the interconnectedness between different dimensions that influence mental health vulnerability and recovery after traffic injuries.

METHODS

120 adults with mild-to-moderate traffic injuries and 112 non-injured controls were recruited. The network investigation employed two main approaches. Four cross-sectional networks examined the interrelationships between self-regulation responses (cognitive and autonomic) and various health dimensions (psychological, physical, social) over time (1, 3, 6, 12 months). Three predictive networks explored influences of acute self-regulation responses (1 month) on long-term outcomes. Network analyses focused on between-group differences in overall connectivity and centrality measures (nodal strength).

RESULTS

An overall measure of psychological wellbeing consistently emerged as the most central (strongest) node in both groups' networks. Injured individuals showed higher overall connectivity and differences in the centrality of self-regulation nodes compared to controls, at 1-month and 12-months post-injury. These patterns were similarly observed in the predictive networks, including differences in cognitive and autonomic self-regulation influences.

CONCLUSIONS

Network analyses highlighted the crucial role of psychological health and self-regulation, in promoting optimal wellbeing and effective recovery. Post-traffic injury, increased connectivity indicated prolonged vulnerability for at least a year, underscoring the need of ongoing support beyond the initial improvements. A comprehensive approach that prioritizes psychological health and self-regulation through psychologically informed services, early psychological screening, and interventions promoting cognitive and autonomic self-regulation is crucial for mitigating morbidity and facilitating recovery.

TRIAL REGISTRATION

IMPRINT study, ACTRN 12616001445460.

Potential Implementers' Perspectives on the Development and Implementation of an e-Mental Health Intervention for Caregivers of Adults With Chronic Kidney Disease: Qualitative Interview Study

BACKGROUND

e-Mental health interventions can improve access to mental health support for caregivers of people living with chronic kidney disease (CKD). However, implementation challenges often prevent effective interventions from being put into practice. To develop an e-mental health intervention for caregivers of people living with CKD that is optimized for future implementation, it is important to engage professionals that may endorse or deliver the intervention (ie, potential implementers) during intervention development.

OBJECTIVE

This study aims to explore the perspectives of potential implementers working in kidney care, in mental health care, or at nonprofit organizations regarding the design and implementation of an e-mental health intervention for caregivers of people living with CKD.

METHODS

Potential implementers (N=18) were recruited via National Health Service Trusts, email, and social media advertisements to participate in semistructured video interviews. Interview questions were informed by the Consolidated Framework for Implementation Research (CFIR). Data were analyzed using a deductive analysis approach using the CFIR, with inductive coding applied to relevant data not captured by the framework.

RESULTS

A total of 29 generic categories, related to 17 CFIR constructs, were identified. The perceived fit between the intervention and implementation context (ie, existing service delivery models and work routines) and existing social networks among potential implementers were perceived as important factors in enhancing implementation potential. However, a need for capacity building among potential implementers to create systems to support the identification and referral of caregivers to an e-mental health intervention was identified. Equity concerns were raised regarding the intervention, highlighting the importance of incorporating an equity lens during intervention design to enhance accessibility and adoption.

CONCLUSIONS

Potential implementers provided valuable insights into key design and implementation factors to help inform the development of an e-mental health intervention for caregivers of people living with CKD. Incorporating their feedback can help ensure the intervention is acceptable and inform the selection of future implementation strategies to enhance the implementation potential of the intervention. Potential implementers should continue to be engaged throughout intervention development.

Interventions with Social Integration Components Addressing Psychosocial Outcomes of Young- and Middle-Aged Adult Cancer Individuals: A Systematic Review

BACKGROUND

The majority of adult cancer patients/survivors encounter social challenges (e.g., obtaining social support, maintaining social relationships, feelings of social isolation). This systematic review summarizes intervention studies addressing social integration or social connectedness issues among young- and middle-aged cancer patients/survivors.

METHODS

We searched the PubMed, CINAHL, and Web of Science databases (January 2000-May 2021) to identify intervention studies that addressed social integration, social connectedness, social support, and social isolation for cancer patients/survivors in young- and middle-aged adulthood (18-64.9 years) through a randomized controlled trial (RCT). We categorized the interventions as technology-based, non-technology-based, and mixed-type (technology- and non-technology-based).

RESULTS

A total of 28 studies were identified. These interventions demonstrated improved social outcomes (e.g., increased social support, decreased loneliness), increased awareness of available cancer-related resources, and better patient-reported outcomes among patients/survivors versus controls. Specifically, the use of internet-based discussion sessions was associated with improved social cohesion and social support. Receiving social support from peers through networking sites was associated with improved physical activity. Additionally, implementing mixed-type interventions led to better social support from peer survivors, less fear of social interactions, and improved social connectedness.

CONCLUSIONS

Using existing technology- and/or non-technology-based platforms to facilitate social connectedness among cancer patients/survivors in young- or middle-aged adulthood can help them cope with stressful life circumstances and improve quality-of-life. Further interventions targeting social integration (e.g., social network interventions) are needed to improve the complex social integration challenges experienced by cancer patients and survivors.

Community and Opinion Leadership Effects on Vaping Discourse: A Network Analysis of Online Reddit Threads

Reddit is a popular hub for discussing vaping. A deeper understanding of the factors that influence this online discourse could inform public health messaging efforts targeting this platform. Using a network analysis framework, we sought to investigate the role of opinion leaders and online communities in facilitating vaping discussions on Reddit. We collected Reddit submissions about vaping posted in May 2021 and used these submissions to generate subreddit-level (N=261) and thread-level (N=8,377) data sets. We coded subreddits into four community categories: 1) Vaping, 2) Substance use, 3) Cessation, and 4) Non-specific. We used sociometric in-degree centrality statistics to identify subreddit opinion leaders. We computed non-parametric ANOVAs and negative binomial regressions to test associations between opinion leadership and subreddit community category variables on subreddit network composition (comprised of subreddit-level network nodes and edges) and the number of commenters on Reddit threads about vaping (thread-level). Subreddit network composition was largely dependent on opinion leaders in Non-specific communities, and less so in Vaping and Substance use communities. At the thread-level, the rate of commenters was higher among threads initiated by opinion leaders than non-opinion leaders (adjusted rate ratio [aRR]=4.84). Furthermore, threads posted in Vaping (aRR=1.64), Substance use (aRR=1.92), and Cessation (aRR=1.21) communities had higher commenter rates than those posted in Non-specific communities. Communities and opinion leaders play a key role in the composition and reach of vaping discussions on Reddit. These findings provide a foundation for public health campaigns and interventions targeting Reddit and perhaps other social media platforms.

Risk and protective factors of social networks on alcohol, cannabis, and opioid use among urban American Indian/Alaska Native emerging adults

OBJECTIVES

Assess associations between social networks and urban American Indian/Alaska Native emerging adults' alcohol, cannabis, and opioid use and intentions.

METHOD

American Indian/Alaska Native participants ages 18-25 (N = 150; 86% female) were recruited across the United States from 12/20 to 10/21 via social media. Participants named up to 15 people whom they talked with most over the past 3 months and reported who (a) used alcohol and cannabis heavily or used other drugs (e.g., opioid use), (b) engaged in traditional practices, and (c) provided support. They also reported past 3-month alcohol, cannabis, and opioid use and intentions to use.

RESULTS

Having a higher proportion of network members engaging in regular cannabis and heavy alcohol use (but not other drugs) was associated with more frequent cannabis use and stronger cannabis use intentions. Participants with higher proportions of members engaging in heavy alcohol use, regular cannabis use, or other drug use and who did not engage in traditional practices were more likely to report cannabis use and greater intentions to use cannabis and drink alcohol. In contrast, participants with higher proportions of network members engaging in traditional practices and who did not report heavy alcohol use, regular cannabis use, or other drug use were less likely to report intentions to use cannabis or drink alcohol.

CONCLUSIONS

Findings emphasize what many studies have shown among various racial/ethnic groups-having network members who use substances increases the chance of use. Findings also highlight that traditional practices may be an important part of the prevention approach for this population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Recommendations to Improve the Nature and Extent of Relationships Among Organizations Within a Network to Enhance Supports for Transgender Survivors of Sexual Assault

CONTEXT

To enhance the provision of comprehensive supports to transgender (trans) survivors of sexual assault, a structurally marginalized group with complex care needs, we developed an intersectoral network of trans-positive health care and community organizations in Ontario, Canada.

OBJECTIVE

As a baseline evaluation of the network, we conducted a social network analysis to determine the extent and nature of collaboration, communication, and connection among members.

DESIGN

Relational data (eg, activities of collaboration) were collected from June to July 2021, and analyzed using a validated survey tool, Program to Analyze, Record, and Track Networks to Enhance Relationships (PARTNER). We shared findings in a virtual consultation session with key stakeholders and facilitated discussion to generate action items. Consultation data were synthesized into 12 themes through conventional content analysis.

SETTING

An intersectoral network in Ontario, Canada.

PARTICIPANTS

Of the 119 representatives of trans-positive health care and community organizations invited to participate in this study, 78 (65.5%) completed the survey.

MAIN OUTCOME MEASURES

Proportion/count of organizations collaborating with other organizations. Network scores for value and trust.

RESULTS

Almost all (97.5%) invited organizations were listed as collaborators, representing 378 unique relationships. The network achieved a value score of 70.4% and trust score of 83.4%. The most prominent themes were "Communication and knowledge exchange channels," "Clearer roles and contributions," "Indicators of success," and "Client voices at the centre."

CONCLUSION

As key antecedents of network success, high value and trust indicate that network member organizations are well positioned to further foster knowledge sharing, define their roles and contributions, prioritize the integration of trans voices in all activities, and, ultimately, achieve common goals with clearly defined outcomes. There is great potential to optimize network functioning and advance the network's mission to improve services for trans survivors by mobilizing these findings into recommendations.

Loneliness and social networks of older adults in rural communities: a narrative synthesis systematic review

Introduction

Loneliness has significant impacts on the health of older adults. Social networks help to improve psychosocial and quality of life outcomes among older adults. A fifth of older adults live in rural communities, where geographic isolation poses challenges to health. The dynamics of social networks of older adults in rural communities has not been explored.

Objective

To synthesize the literature related to loneliness and social networks of older adults in rural settings.

Methods

A mixed-methods systematic review was conducted through searching six bibliographic databases to retrieve peer-reviewed literature with no time limits. We performed a methodological assessment of each study using a mixed method quality assessment tool. Findings are synthesized thematically.

Results

A total of 50 studies (32 quantitative, 15 qualitative, and 3 mixed methods) were included in this review. Studies were conducted in 17 different countries, the majority from China (n = 12), the UK (n = 9), and USA (n = 9). Findings revealed that social networks of older adults consist of family, friends and neighbors and continue to be developed through participation in various physical and social activities such as walking groups and participation in religious events. Social networks offer informational, functional, psychological and social support to older adults. Through their social networks, older adults feel socially connected and cared for. Successful interventions to improve social networks and address loneliness were those developed in groups or one-on-one with the older adults. The key ingredient to the positive impact of these interventions on reducing social isolation and loneliness was the formation of a social connection and regular engagement with the older adults. However, the review did not find any explicitly reported theory or model on which these interventions are based.

Conclusion

The prevalence of loneliness among older adults in rural areas needs urgent attention. Social network theory and methods can help in developing interventions to address social isolation and loneliness among older adults in rural communities.

Privacy-Preserving Indoor Trajectory Matching with IoT Devices

With the rapid development of the Internet of Things (IoT) technology, Wi-Fi signals have been widely used for trajectory signal acquisition. Indoor trajectory matching aims to achieve the monitoring of the encounters between people and trajectory analysis in indoor environments. Due to constraints ofn the computation abilities IoT devices, the computation of indoor trajectory matching requires the assistance of a cloud platform, which brings up privacy concerns. Therefore, this paper proposes a trajectory-matching calculation method that supports ciphertext operations. Hash algorithms and homomorphic encryption are selected to ensure the security of different private data, and the actual trajectory similarity is determined based on correlation coefficients. However, due to obstacles and other interferences in indoor environments, the original data collected may be missing in certain stages. Therefore, this paper also complements the missing values on ciphertexts through mean, linear regression, and KNN algorithms. These algorithms can predict the missing parts of the ciphertext dataset, and the accuracy of the complemented dataset can reach over 97%. This paper provides original and complemented datasets for matching calculations, and demonstrates their high feasibility and effectiveness in practical applications from the perspective of calculation time and accuracy loss.

Developing a typology of network alteration strategies for implementation: a scoping review and iterative synthesis

BACKGROUND

Social networks transmit knowledge, influence, and resources. These relationships among patients, professionals, and organizations can shape how innovations are disseminated, adopted, implemented, and sustained. Network alteration interventions-interventions that change or rewire social networks-have the potential to be used as implementation strategies. Yet, the types, mechanisms, and effectiveness of these interventions for implementation are unclear. This scoping review and iterative synthesis identified and described network alteration strategies that could be tested for implementation.

METHODS

We used forward and backward citation tracking of influential articles on network interventions, bibliometric searches, and hand searches of peer-reviewed social network journals. At least two team members screened article titles/abstracts to identify studies that met inclusion criteria: empirical studies of an intervention, the intervention was designed to alter some element of a social network, and changes in social network metrics were measured at two or more time points. During full-text reviews, information about the network interventions, actors, ties, and main findings was extracted. Reporting was informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). To develop our typology, we synthesized these results using an iterative team-based and consensus-building process.

RESULTS

Fifty-three articles met the inclusion criteria. The interventions described were conducted in healthcare systems or behavioral health systems (34%), communities (26.4%), and schools (22.6%). The majority included records describing interventions designed to alter social support, information-sharing, or friendship networks (65%) among individual actors (84.9%), or to increase ties. Eight strategies emerged. Three strategies targeted the general context: (1) change the environment, (2) create groups, and (3) change the composition. Four strategies targeted individual actors: change (4) motivations, (5) skills for networking, (6) knowledge of one's social network, and (7) prominence/roles. One strategy (8) targeted specific ties within the network (targeting a particular pair-wise relationship or changing the nature of an existing tie).

CONCLUSION

The network alteration strategies in this typology provide further operational specificity for how implementation strategies target relationships. Advancing these strategies will require greater theoretical specification, the development of strategies that target professionals and organizations, and studies that examine the impact on implementation outcomes.

Using social networks to scale up and sustain community-based programmes to improve physical activity and diet in low-income and middle-income countries: a scoping review

BACKGROUND

Community-based programmes [CBPs], targeting increased physical activity and/or healthier eating, have been used in the prevention and management of non-communicable diseases. However, CBPs are only useful, insofar as they can be scaled up and sustained in some meaningful way. Social networks-defined as "social structures that exists between actors, individuals or organizations"-may serve as an important tool to identify underlying mechanisms that contribute to this process. This scoping review aimed to map and collate literature on the role of social network research in scaling-up and sustaining physical activity and/or diet CBPs in low-and middle-income countries [LMICs].

METHODS

Arksey and O'Malley's framework and its enhancement were followed. Inclusion criteria were peer-reviewed articles exploring the role of social networks in scaled-up and/or sustained physical activity and/or diet CBPs in adult populations, published in English since 2000, and based in a LMIC. Databases searched were PubMed, Cochrane, Scopus, Web of Science, CINAHL, SocIndex, International Bibliography of the Social Sciences, and Google Scholar. Books, conference abstracts, and programmes focused on children were excluded. Two reviewers independently selected and extracted eligible studies. Included publications were thematically analysed using the Framework Approach.

RESULTS

Authors identified 12 articles for inclusion, covering 13 CBPs. Most were based in Latin America, with others in the Caribbean, the Pacific Islands, Iran, and India. All articles were published since 2009. Only three used social network analysis methods (with others using qualitative methods). Five main social network themes were identified: centralisation, cliques, leaders, quality over quantity, and shared goals. Contextual factors to be considered when scaling-up programmes in LMICs were also identified.

CONCLUSIONS

This review has shown that the evidence of the use of social network research in programme scale-up has not yet caught up to its theoretical possibilities. Programmes aiming to scale should consider conducting social network research with identified network themes in mind to help improve the evidence-base of what network mechanisms, in what contexts, might best support the strengthening of networks in physical activity and diet programmes. Importantly, the voice of individuals and communities in these networks should not be forgotten.

Adolescent-Adult Social Networks and Experiences of Violence Among Black Youth in Neighborhoods With High Levels of Community Violence

PURPOSE

Adult support is inversely linked to health-affecting risk behaviors. This study aimed to describe adolescent-adult support network structure and quality, and to analyze associations among network properties, strength of emotional and instrumental support, and violence involvement among predominantly Black youth residing in neighborhoods with high levels of community violence.

METHODS

One hundred six youth from urban neighborhoods with high levels of community violence in Pittsburgh, PA completed egocentric social network surveys describing adult supports, measures of support across contexts, and past 30-day violence perpetration, victimization, and witnessing. Forty youth-identified adults completed complementary social network surveys. Poisson regression examined associations among strength of social support, adults' violence experiences, and youths' violence experiences.

RESULTS

Mean youth participant age was 16.7 years, 56% self-identified as female, and 84% as Black or African-American. Youth and adult participants reported high levels of violence exposure and involvement. Youth identified a mean of 4.8 adult supports. Identifying at least one immediate family member in their network was inversely related to violence perpetration (adjusted incidence rate ratio [aIRR] 0.44, 95% confidence interval [CI] 0.22-0.89), victimization (aIRR 0.42, 95% CI 0.25-0.72), and witnessing (aIRR 0.48, 95% CI 0.35-0.64). The percent of adult supports involved in violence was directly associated with violence perpetration (aIRR 1.81, 95% CI 1.07-3.07), victimization (aIRR 1.95, 95% CI 1.09-3.45), and witnessing (aIRR 1.85, 95% CI 1.25-2.73). Few associations emerged between the structure of youth-reported adolescent-adult social networks and violence.

DISCUSSION

Network-based interventions combined with healing-centered services attuned to violence experiences among Black youth and their adult supports may offer opportunities to leverage youths' existing adult support network and reduce violence.

Feasibility and acceptability of incorporating social network visualizations into a culturally centered motivational network intervention to prevent substance use among urban Native American emerging adults: a qualitative study

Background

Coupling social network visualizations with Motivational Interviewing in substance use interventions has been shown to be acceptable and feasible in several pilot tests, and has been associated with changes in participants’ substance use and social networks. The objective of this study was to assess acceptability and feasibility of an adaptation of this behavior change approach into a culturally centered behavior change intervention for American Indian/Alaska Native (AI/AN) emerging adults living in urban areas. AI/AN populations experience high rates of health disparities and substance use. Although 70% of AI/AN people live outside of tribal lands, there are few culturally tailored health interventions for these AI/AN populations. Social networks can both increase and discourage substance use. Leveraging healthy social networks and increasing protective factors among urban AI/AN emerging adults may help increase resilience.

Methods

We conducted thirteen focus groups with 91 male and female participants (32 urban AI/AN emerging adults ages 18–25, 26 parents, and 33 providers) and one pilot test of the three workshop sessions with 15 AI/AN emerging adults. Focus group participants provided feedback on a proposed workshop-based intervention curriculum that combined group Motivational Interviewing (MI) and social network visualizations. Pilot workshop participants viewed their own social networks during group MI sessions focused on substance use and traditional practices and discussed their reactions to viewing and discussing their networks during these sessions. We used a combination of open coding of focus group and workshop session transcripts to identify themes across the group sessions and content analysis of comments entered into an online social network interview platform to assess the extent that participants had an intuitive understanding of the information conveyed through network diagrams.

Results

Focus group and pilot test participants reacted positively to the intervention content and approach and provided constructive feedback on components that should be changed. Themes that emerged included feasibility, acceptability, relevance, understandability, and usefulness of viewing personal network visualizations and discussing social networks during group MI workshops. Workshop participants demonstrated an intuitive understanding of network concepts (network composition and structure) when viewing their diagrams for the first time.

Conclusions

Social network visualizations are a promising tool for increasing awareness of social challenges and sources of resilience for urban AI/AN emerging adults. Coupled with Motivational Interviewing in a group context, social network visualizations may enhance discussions of network influences on substance use and engagement in traditional practices.

Trial Registration: ClinicalTrials.gov Identifier: NCT04617938. Registered October 26, 2020

Barriers and Facilitators to HIV Pre-Exposure Prophylaxis Uptake Among Men Who have Sex with Men Who Use Stimulants: A Qualitative Study

The HIV epidemic disproportionately impacts men who have sex with men (MSM), particularly those who use stimulants. We explored barriers and facilitators to pre-exposure prophylaxis (PrEP) uptake among this population. From June 2018 through February 2019, we conducted semi-structured interviews in Providence, Rhode Island, and New Haven, Connecticut, with 21 MSM who reported recent (past six months) stimulant use. We identified individual, interpersonal, and structural barriers to PrEP, including: (1) high awareness but mixed knowledge of PrEP, resulting in concerns about side effects and drug interactions; (2) interest that was partly determined by substance use and perceived HIV risk; (3) fragmented and constrained social networks not conducive to disseminating PrEP information; and (4) PrEP access, such as insurance coverage and cost. Our findings suggest potential approaches to increase PrEP uptake in this group, including promotion through mainstream and social media, clarifying misinformation, and facilitating increased access through structural interventions.

The importance of community during rapid development: The influence of social networks on acute gastrointestinal illness in rural Ecuador

Social networks are often measured as conduits of infection. Our prior cross-sectional analyses found that denser social ties among individuals reduces transmission of acute gastrointestinal illness (AGI) in coastal Ecuador; social networks can describe both risk and protection. We extend findings to examine how social connectedness influences AGI longitudinally in Ecuador from 2007 to 2013, a time of rapid development, using a two-stage Bayesian hierarchical model to estimate multiple network effects. A larger community network of people to discuss important matters with was consistently protective against AGI over time, and a network defined by people passing time together became a stronger measure of risk, due to increasing population density and travel. These networks were interdependent: the joint effect of having a small passing time network and large important matters network reduced the odds of AGI over time (2007: OR 1.16 (95% CI: 0.94, 1.44), 2013: OR 0.56 (95% CI: 0.45, 0.71)); and synergistic: the people an individual passed time with became the people they discussed important matters with. Focus groups emphasized that with greater remoteness came greater community cohesion resulting in safer WASH practices. Social networks can enhance and reduce health differently as social infrastructure evolves, highlighting the importance of community-level factors in a period of rapid development.

•

Social connectedness, a construct often represented as social networks, plays an important role in public health.

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This construct can lead to both protection from and risk of infectious diseases, particularly during rapid development.

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Two types of longitudinal social network data from Ecuador were assessed: core discussion network and passing time network.

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The two types of social connections interact and contribute differentially to the reduction of acute gastrointestinal illness.

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In more remote areas, the strength of the community structure and organization was critical for disease reduction despite minimal road access.

The association between social network members sharing alcohol-related social media content and alcohol outcomes among college student drinkers

BACKGROUND

College-aged young adults (e.g., 18 to 29-year-olds) use social media more than any other age group. An emerging body of literature shows that higher exposure to alcohol-related social media content is associated with greater alcohol consumption among college students. However, most studies assess exposure to peer drinking on social media using global measures, rather than measuring the exposure to alcohol-related posts of identified specific close peers. We examined whether having a higher proportion of important peers (i.e., social network members) who post alcohol-related social media content is associated with greater alcohol consumption and alcohol-related consequences. We also investigated the extent to which the qualities of network members who share alcohol-related content are associated with participants' alcohol outcomes.

METHODS

Participants were 130 college students (86.2% female, 56.9% White) with an average age of 23.39 years (SD = 5.63) who had consumed at least one alcoholic drink in the past week. Participants completed measures of their social media use, alcohol consumption, alcohol-related consequences, and characteristics of important peers in their social network, including their alcohol-related social media posting.

RESULTS

Having a higher proportion of social network members who post alcohol-related social media content was positively related to participants' drinks per week and peak number of drinks. Higher network proportions of drinking buddies posting alcohol-related content were also associated with a greater frequency of alcohol use. Having a higher proportion of friends who post alcohol content and from whom the participants seek advice was linked to more alcohol-related consequences.

CONCLUSIONS

Having more important peers who post alcohol-related content on social media is associated with alcohol outcomes among college students. Harm-reduction focused alcohol interventions delivered on college campuses that incorporate information about the influence of viewing and sharing alcohol-related content could help to reduce alcohol consumption and alcohol-related consequences among students.

Applying a User Centred Design Approach to Optimise a Workplace Initiative for Wide-Scale Implementation

Translation of an effective research intervention into a program able to be implemented in practice typically requires adaptations to ensure the outcomes can be achieved within the applied setting. User centred design (UCD) methodologies can support these iterative adaptations, with this approach being particularly well suited to peer-led interventions, due to a focus on usability. We describe and reflect on the UCD approach that was applied to optimise an online, peer-led workplace health promotion initiative (BeUpstanding: ACTRN12617000682347) to be suitable for wide-scale implementation and evaluation. Optimisation was aligned against the indicators of the RE-AIM (reach, effectiveness, adoption, implementation, maintenance) framework, with UCD methodologies (discovery interviews, persona and scenario mapping, facilitated workshops, surveys and prototyping) employed to enhance the program according to all RE-AIM dimensions. The core team (content experts, implementation scientist, interaction designer, software developer, business developer) worked closely with policy and practice partners and end users (workplace champions, management and staff) to iteratively develop and test across the RE-AIM indicators. This description and reflection of the process of applying UCD and the RE-AIM framework to the optimisation of BeUpstanding is intended to provide guidance for other behaviour change research adaptations into practice.

Feasibility of a computer-assisted social network motivational interviewing intervention to reduce substance use and increase supportive connections among emerging adults transitioning from homelessness to housing

BACKGROUND

Social networks may play positive and negative roles in the lives of young adults experiencing homelessness (YEH) who are transitioning into housing. Social networks can influence their alcohol and/or other drug (AOD) use, as well as provide immediate and long-term support necessary for a successful transition.

METHODS

We adapted a four-session computer-assisted motivational interviewing social network intervention (MI-SNI) for YEH transitioning into housing. We iteratively adapted and beta tested the intervention for delivery by case managers at an organization that provides supportive housing to YEH. We conducted a focus group with agency staff (n = 6), role-play exercises with case managers (n = 3), and semi-structured interviews with residents (n = 6). Interview data were thematically analyzed with open coding. This study presents the first adaptation of an innovative social network-based motivational intervention to reduce AOD use and increase stable, prosocial supportive connections via visualizations of the structure and composition of the individual's social network.

RESULTS

Participants rated sessions as "moderately" to "very" helpful and "good" quality on average. Participants agreed that the sessions were helpful, understandable, and satisfying and would work for new residents. Themes emerged in four broad categories: (1) Acceptability, (2) Positive benefits, (3) Visualization reactions, and (4) MI-SNI interface reactions. For the acceptability category, three sub-themes emerged: (1) understandability, (2) enjoyability and ease of use, (3) and barriers to acceptability. Five sub-themes emerged about the intervention's likelihood to trigger positive benefits: (1) learning/new insights, (2) enhancement to motivation to change, (3) making AOD changes, (4) building social support, and (5) the intervention's usefulness to some but not others. Five sub-themes also emerged from comments about the social network visualizations: (1) general positive comments, (2) understandability, (3) new insights, (4) triggering changes in social support, and (5) triggering changes in AOD use. When discussing the MI-SNI intervention interface beyond the visualizations, discussions emerged in three thematic categories: (1) discussion of name listing, (2) discussion of screen wording, and (3) the use of a computer interface to deliver the intervention.

CONCLUSIONS

Results suggest that the MI-SNI is acceptable to YEH and can be feasibly delivered by case managers during case management sessions. Trial registration ClinicalTrials.gov Identifier: NCT04637815. Registered November 10, 2020.

A two-stage social network intervention for reducing alcohol and other drug use in residential colleges: Protocol for a feasibility trial

BACKGROUND

In many countries, the rate of binge drinking and alcohol-related harms among students living in residential colleges exceeds that observed among young people in the general population. Peer influence plays a key role in driving alcohol and other drug (AOD) use in colleges. This highlights the potential role of peer influence AOD-interventions in college student-networks. This protocol paper outlines the design of a two-stage social network intervention (SNI) for reducing AOD-use in four Australian first-year residential college networks.

METHODS

In Stage 1, a peer-led workshop will provide education about AOD-use and harm-minimisation strategies to four first-year cohorts in the first week of semester one (N ~ 500). In Stage 2, a targeted SNI will be delivered to the largest co-educational, first-year cohort (N ~ 160), wherein heavy drinking 'Strategic Players' (influential students) will be identified and offered a brief, telephone-delivered motivational interviewing intervention for AOD-use (QuikFix). Participants will complete online surveys at baseline and 12-, 26-, and 52-weeks follow-up.

RESULTS

Recruitment occurred in February 2021 and is now closed. Results are expected to be submitted for publication in late 2022.

CONCLUSIONS

This protocol paper outlines the design of a feasibility trial exploring the impact of applied SNIs for reducing AOD-use and related consequences in residential college student networks. If effective, the two-stage SNI proposed could (i) reduce AOD-use and risk of harm across first-year student networks and (ii) provide an effective brief intervention (QuikFix) to high-risk drinkers who have greatest potential to spread the intervention effects to other risky drinkers in their network.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ACTRN12621000494831).

Restructuring personal networks with a Motivational Interviewing social network intervention to assist the transition out of homelessness: A randomized control pilot study

BACKGROUND

Social relationships play a key role in both substance use and homelessness. Transitioning out of homelessness often requires reduction in substance use as well as changes in social networks. A social network-based behavior change intervention that targets changes personal social networks may assist the transition out of homelessness. Most behavior change interventions that incorporate social networks assume a static network. However, people experiencing homelessness who transition into housing programs that use a harm reduction approach experience many changes in their social networks during this transition. Changes may include disconnecting from street-based network contacts, re-connecting with former network contacts, and exposure to new network members who actively engage in substance use. An intervention that helps people transitioning out of homelessness make positive alterations to their social networks may compliment traditional harm reduction housing program services.

METHODS

We conducted a pilot randomized controlled trial (RCT) of an innovative Social Network Intervention (MI-SNI), which combines network visualization and Motivational Interviewing to assist adults transitioning out of homelessness. The MI-SNI provides feedback to new residents about their social environments and is designed to motivate residents to make positive changes in both their individual behavior and their personal network. In a sample of 41 adult housing program residents with past year risky substance use, we examined whether participants randomized to receive a MI-SNI showed greater changes in their personal networks over 3 months compared to those receiving usual care.

RESULTS

There were significant differences in the networks of the MI-SNI group compared to the group receiving usual care at follow-up, controlling for baseline network characteristics. The MI-SNI group had greater reductions in the proportion of their network members who influenced alcohol or other drug use (AOD) use, such as drinking partners, and more frequently changed their relationships in the direction of lower AOD risk with network members who were retained in their networks across waves.

CONCLUSIONS

This study is the first pilot test of a MI-SNI customized for assisting the transition out of homelessness to test for personal network changes. Results indicate that MI-SNIs can have a positive impact on short-term network changes and thus may serve as a useful adjunct to behavioral change interventions. These findings suggest that a MI-SNI approach may help individuals experiencing homelessness and risky AOD use positively restructure their social networks while transitioning into supportive housing. These promising results suggest the need for a larger RCT test of this innovative intervention approach.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02140359.

Use of Triangulation in Comparing the Blockchain Knowledge Structure between China and South Korea: Scientometric Network, Topic Modeling, and Prediction Technique

Blockchain, as a new innovative technology, has become a popular topic in many fields in recent years. In this study, triangulation was used to investigate the development of knowledge structures. First, scientometric network analysis was employed to identify the cooperation of knowledge networks. It was found that the structure of blockchain knowledge networks in China is relatively more complex and diverse than in South Korea. Since increased teamwork in blockchain is conducive to the creation of high-quality knowledge products, the Chinese government appears to strongly promote diversified cooperation on blockchain technology through centralized policies. Second, machine-learning topic modeling was used to analyze the content exchanged via a collaborative network. As a result, it was found that both countries lacked the societal and commercial aspects of blockchain technology. Finally, we developed a prediction technique based on the Ernie model to automatically categorize the nature of blockchain research.

Social Network Analysis of an Agricultural Center: Stakeholders and the Transfer of Information

We conducted a social network analysis (SNA) of Central States Center for Agricultural Safety and Health (CS-CASH) to describe stakeholder networks for agricultural Research and Education/Outreach. This was a two-phase study. First, the Leader Survey went to N = 9 CS-CASH leaders to identify their key stakeholders. Next, the Stakeholder Survey was sent to these stakeholders to learn about their stakeholder collaborations, interactions, and communications. The Pajek Network Analysis measured SNA metrics for density, centrality, betweenness, k-core, and created the sociograms. The Leader Survey had a 100% response rate and generated N = 337 unique stakeholders. Most were researchers (44%) and educators (20%), with a primary sphere of influence in Nebraska-only (40%). The Stakeholder Survey had 46% response rate, and generated N = 199 names in the extended Education/Outreach network and N = 140 in the extended Research network. Stakeholders in both networks were employed mostly in universities/schools (61%) or non-profits (15%). Both networks had a single main component and 7/9 CS-CASH leaders had central roles in these components. CS-CASH is well positioned in the extended stakeholder networks based on SNA metrics. Stakeholders utilize CS-CASH resources, and they seek and exchange information with its leaders. To strengthen knowledge transfer, it will be useful to build on connections with stakeholders outside academia.

Review of social networks of professionals in healthcare settings-where are we and what else is needed?

Background

Social Network Analysis (SNA) demonstrates great potential in exploring health professional relationships and improving care delivery, but there is no comprehensive overview of its utilization in healthcare settings. This review aims to provide an overview of the current state of knowledge regarding the use of SNA in understanding health professional relationships in different countries.

Methods

We conducted an umbrella review by searching eight academic databases and grey literature up to April 30, 2021, enhanced by citation searches. We completed study selection, data extraction and quality assessment using predetermined criteria. The information abstracted from the reviews was synthesized quantitatively, qualitatively and narratively.

Results

Thirteen reviews were included in this review, yielding 330 empirical studies. The degree of overlaps of empirical studies across included reviews was low (4.3 %), indicating a high diversity of included reviews and the necessity of this umbrella review. Evidence from low- and middle-income countries (LMIC), particularly Asian countries, was limited. The earliest review was published in 2010 and the latest in 2019. Six reviews focused on the construction or description of professional networks and seven reviews reported factors or influences of professional networks. We synthesized existing literature on social networks of health care professionals in the light of (i) theoretical frameworks, (ii) study design and data collection, (iii) network nodes, measures and analysis, and (iv) factors of professional networks and related outcomes. From the perspective of methodology, evidence lies mainly in cross-sectional study design and electronic data, especially administrative data showing “patient-sharing” relationships, which has become the dominant data collection method. The results about the impact of health professional networks on health-related consequences were often contradicting and not truly comparable.

Conclusions

Methodological limitations, inconsistent findings, and lack of evidence from LMIC imply an urgent need for further investigations. The potential for broader utilization of SNA among providers remains largely untapped and the findings of this review may contain important value for building optimal healthcare delivery networks.

PROSPERO registration number

The protocol was published and registered with PROSPERO, the International Prospective Register of Systematic Reviews (CRD42020205996).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12992-021-00772-7.

Effects of programs and interventions related to the social environment on childhood and adolescent obesity: A systematic search for and scoping review of natural experiments

Given the potential importance of social environment on obesity and to better understand their causal relationship amongst children and adolescents, this scoping review systematically searches for and evaluates programs and interventions using natural experiment designs. A majority of the studies assessing peer and social norm effects reported significant findings. Peer effects with nontrivial effect sizes likely have practical implications for interventions, while a strong conclusion cannot be drawn for social norm and neighborhood safety effects. Leveraging naturally occurring data might provide future research with a promising way of establishing a more robust causal inference for the topic of interest.

Being Popular or Having Popular Friends, Which Is Better? A Longitudinal Social Network Analysis of Depressive Symptoms among Chinese Adolescents under Major Chronic Stress

Background: Previous studies have found that adolescents’ depressive symptoms are influenced by social networks in a stressful context, especially focusing on the processes of social selection and social influence. The current study aimed to explore the coevolution of sociometric popularity and depressive symptoms among adolescents suffering from the stress attached to the Chinese gaokao. Methods: The analytical sample comprised 1062 Chinese adolescents who were under significant pressure to return to school for an additional year (returnees) to prepare for college entrance examinations. Students were assessed for depressive symptoms and asked to nominate up to five friends within their classes across four waves (six months). We employed stochastic actor-oriented models to investigate the interdependent relationships between popularity and depressive symptoms. Results: Adolescents’ depressive symptoms negatively predicted future friendship popularity in this stressful situation, but not vice versa. The results of this study also highlighted the importance of friends’ popularity, indicating that adolescents who nominated popular peers as friends tended to subsequently have lower depressive symptoms. Conclusion: These findings suggested that friends’ popularity may serve as a protective factor against depressive symptoms under major chronic stress. Network-based interventions may have practical implications for reducing depressive symptoms under major chronic stress.

Social support networks of users of crack cocaine and the role of a Brazilian health program for people living on the street: A qualitative study

This cross-sectional qualitative study analyzed characteristics of social support for users of crack cocaine and the role of "Consultório na Rua" (CR), or "Office in the Street," a Brazilian program for people living on the street. Data were collected using 1) ethnographic field observations during the delivery of services from this program, 2) in-depth interviews with 17 users of crack cocaine, and 3) a focus group with professionals from CR. To analyze data, we used content analysis and analytical categories based on Social Network Analysis (SNA) theoretical statements. Results showed that family, peers, community members, and professionals from CR were the main social support providers. Participants mentioned receiving material, informational, and emotional support from CR members. It was observed that CR had a welcoming and inclusive approach, but CR team members identified challenges related to stigma directed toward people who use substances and live on the street. CR assumed a central role in the health and social assistance of users of crack cocaine living on the street, providing an important link to healthcare and social services. However, initiatives related to motivation to receive mental health services, treatment, or social reintegration were not observed in conjunction with this program.

Effectiveness of sexual health influencers identified by an ensemble machine learning model in promoting secondary distribution of HIV self-testing among men who have sex with men in China: study protocol for a quasi-experimental trial

BACKGROUND

HIV self-testing (HIVST), especially the secondary distribution of HIVST (SD-HIVST) initiated by sexual health influencers (SHIs), has been recognized as an effective strategy in promoting HIV testing, especially among men who have sex with men (MSM). This quasi-experimental study aimed to evaluate whether SHIs identified through the ensemble machine learning approach can distribute more HIVST than those who identified by the empiricalscale.

METHODS

We will recruit eligible adults (≥18 years old) who were assigned male gender at birth, and willing to participate in potential SD-HIVST online. Participants will be assigned randomly to two groups (scale group or machine learning group), followed by a separate process of SHI identification based on the group assignment. After identification, all index participants (defined as identified SHIs who are verbally consented to participate in SD-HIVST or who directly order HIVST kits) will follow the same procedure for SD-HIVST acquisition and distribution. Index participants can order HIVST online and distribute them to members within their social networks (defined as alters) in-person or virtually through a personalized peer referral link. Once a unique alter uploads a photographed test result to the platform, both the alter and the corresponding index participant will receive a fixed incentive of 3 USD. The index MSM can order up to five HIVST in the first three months and ten HIVST in the following three months. Each index participant will need to complete a baseline survey at the first-time ordering and one to two follow-upbased on the times of ordering,, three months after ordering. This trial will be comparing 1) the mean number of alters motivated by each index participant in each group and 2) the mean number of newly-tested alters motivated by each index participant in each group.

DISCUSSION

In promoting the efficacy of identifying SHIs for SD-HIVST, our study has the potential to enhance testing coverage, particularly among marginalized individuals and those who are reluctant to for HIV and other sexually transmitted infections.

TRIAL REGISTRATION

We registered the study on the Chinese Clinical Trial Registry website on 4th November 2021, with registration number ChiCTR2000039632 .

Supporting Cross-Company Networks in Workplace Health Promotion through Social Network Analysis-Description of the Methodological Approach and First Results from a Model Project on Physical Activity Promotion in Germany

Cross-company networking and counseling is considered to be a promising approach for workplace health promotion in small and medium-sized enterprises. However, a systematic and empirical approach on how such networks can be developed is lacking. The aims of the present paper are to describe the approach of a social network analysis supporting the development of a cross-company network promoting physical activity and to present first results. In the process of developing the methodological approach, a common understanding of the nodes and edges within the project was elaborated. Based on the BIG-model as the theoretical framework of the project, five measuring points and an application-oriented data collection table were determined. Using Gephi, network size, degree, and distance measures, as well as density and clustering measures, were calculated and visualized in the course of the time. First results showed a continuous expansion and densification of the network. The application experience showed that the application of social network analysis in practical cross-company network development is promising but currently still very resource intensive. In order to address the current major challenges and enable routine application, the development of an application-oriented and feasible tool could make an essential contribution.

Comparing targeting strategies for network-based adolescent drinking interventions: A simulation approach

Public health researchers and social scientists highlight the promise of network-based strategies to inform and enhance interventions that curb risky adolescent health behaviors. However, we currently lack an understanding of how different variants of network-based interventions shape the distribution of targeted behaviors. The current project considers the effectiveness of five targeting strategies that are designed to have differential impacts on the health of program participants versus non-participants. Using simulations that are empirically-grounded in 28 observed school-based networks from the PROSPER study, we evaluate how these approaches shape long-term alcohol use for intervention participants and non-participants, separately, and consider whether contextual factors moderate their success. Findings suggest that enrolling well-connected adolescents results in the lowest drinking levels for non-participants, while strategies that target groups of friends excel at protecting participants from harmful influences. These trends become increasingly pronounced in contexts characterized by higher levels of peer influence.

Sexual Health Influencer Distribution of HIV/Syphilis Self-Tests Among Men Who Have Sex With Men in China: Secondary Analysis to Inform Community-Based Interventions

Background

Social network–based strategies can expand HIV/syphilis self-tests among men who have sex with men (MSM). Sexual health influencers are individuals who are particularly capable of spreading information about HIV and other sexually transmitted infections (STIs) within their social networks. However, it remains unknown whether a sexual health influencer can encourage their peers to self-test for HIV/syphilis.

Objective

The aims of this study were to examine the impact of MSM sexual health influencers on improving HIV/syphilis self-test uptake within their social networks compared to that of nonsexual health influencers.

Methods

In Zhuhai, China, men 16 years or older, born biologically male, who reported ever having had sex with a man, and applying for HIV/syphilis self-tests were enrolled online as indexes and encouraged to distribute self-tests to individuals (alters) in their social network. Indexes scoring >3 on a sexual health influencer scale were considered to be sexual health influencers (Cronbach α=.87). The primary outcome was the mean number of alters encouraged to test per index for sexual health influencers compared with the number encouraged by noninfluencers.

Results

Participants included 371 indexes and 278 alters. Among indexes, 77 (20.8%) were sexual health influencers and 294 (79.2%) were noninfluencers. On average, each sexual health influencer successfully encouraged 1.66 alters to self-test compared to 0.51 alters encouraged by each noninfluencer (adjusted rate ratio 2.07, 95% CI 1.59-2.69). More sexual health influencers disclosed their sexual orientation (80.5% vs 67.3%, P=.02) and were community-based organization volunteers (18.2% vs 2.7%, P<.001) than noninfluencers. More alters of sexual health influencers came from a rural area (45.5% vs 23.8%, P<.001), had below-college education (57.7% vs 37.1%, P<.001), and had multiple casual male sexual partners in the past 6 months (25.2% vs 11.9%, P<.001).

Conclusions

Being a sexual health influencer was associated with encouraging more alters with less testing access to self-test for HIV/syphilis. Sexual health influencers can be engaged as seeds to expand HIV/syphilis testing coverage.

Best Practices for Modeling Egocentric Social Network Data and Health Outcomes

OBJECTIVE/AIM

We describe best practices for modeling egocentric networks and health outcomes using a five-step guide.

BACKGROUND

Social network analysis (SNA) is common in social science fields and has more recently been used to study health-related topics including obesity, violence, substance use, health organizational behavior, and healthcare utilization. SNA, alone or in conjunction with spatial analysis, can be used to uniquely evaluate the impact of the physical or built environment on health. The environment can shape the presence, quality, and function of social relationships with spatial and network processes interacting to affect health outcomes. While there are some common measures frequently used in modeling the impact of social networks on health outcomes, there is no standard approach to social network modeling in health research, which impacts rigor and reproducibility.

METHODS

We provide an overview of social network concepts and terminology focused on egocentric network data. Egocentric, or personal networks, take the perspective of an individual who identifies their own connections (alters) and also the relationships between alters.

RESULTS

We describe best practices for modeling egocentric networks and health outcomes according to the following five-step guide: (1) model selection, (2) social network exposure variable and selection considerations, (3) covariate selection related to sociodemographic and health characteristics, (4) covariate selection related to social network characteristics, and (5) analytic considerations. We also present an example of SNA.

CONCLUSIONS

SNA provides a powerful repertoire of techniques to examine how relationships impact attitudes, experiences, and behaviors-and subsequently health.

Friends, physical activity, and sedentary behavior in university students: A social network analysis

Introduction: Understanding the processes of socialization during youth and their association with healthy behaviors is crucial for university education. Objective: To explore the associations of the characteristics of friendship networks with being physically active and having a sedentary behavior in university students. Materials and methods: Cross-sectional study conducted in 475 university students and based on a social network analysis. Measurements included sociodemographic, physical activity, sedentary behavior, and friendship network variables. The associations between the characteristics of friendship networks and physical activity and sedentary behavior were explored using logistic regression models. Confidence intervals (95%) were estimated and a significance level of p<0.05 was considered. Results: In women, being part of at least a cluster of friends was significantly associated with being physically active (adjusted OR [aOR]: 2.3; 95%CI: 1.2-4.6), while being popular was significantly associated with a lower probability of being physically active (aOR: 0.3; 95%CI: 0.1-0.7). Also, a ten-percentage point increase in active friends was significantly associated with a higher probability of being physically active (aOR: 9.3; 95%CI: 3.5-24.6). Regarding sedentary behavior, a ten-percentage point increase in the number of sedentary friends was significantly associated with a higher probability of being sedentary (aOR: 5.5; 95%CI: 2.5-12.3). In men, none of the studied associations were statistically significant. Conclusion: Some characteristics of social network are relevant for female university students in relation to their physical activity levels and sedentary behaviors. These findings highlight the need to consider friendship network dynamics for designing initiatives aimed at physical activity promotion and sedentary behavior reduction.

Dietary Policies and Programs: Moving Beyond Efficacy and Into "Real-World" Settings

Purpose: Dietary behaviors are key modifiable risk factors in averting cardiovascular disease (CVD), the leading cause of morbidity, mortality, and disability in the United States. Before investing in adoption and implementation, community-based organizations, public health practitioners, and policymakers—often working with limited resources—need to compare the population health impacts of different food policies and programs to determine priorities, build capacity, and maximize resources. Numerous reports, reviews, and policy briefs have synthesized across evidence-based policies and programs to make recommendations, but few have made a deep acknowledgment that dietary policies and programs are not implemented in a vacuum, and that “real-world” settings are complex, multifaceted and dynamic.

Methods: A narrative review was conducted of currently recommended evidence-based approaches to improving dietary behaviors, to describe and characterize applied and practical factors for consideration when adopting and implementing these dietary policies and programs across diverse settings.

Results: From the narrative review, six key considerations emerged to guide community-based organizations, public health practitioners, and policymakers on moving from the evidence base, toward implementation in local and community settings.

Conclusions: Considerations of “real-world” contextual factors are necessary and important when adopting and selecting evidence-based policies and programs to improve dietary behaviors and ultimately improve CVD outcomes. Promising approaches include those that apply community-partnered research and systems science to examine the equitable implementation of evidence-based dietary policies and programs.

Longitudinal effects of social network changes on drinking outcomes for individuals with a first-time DUI

BACKGROUND

Social networks are important predictors of alcohol-related outcomes, especially among those with a DUI where riskier social networks are associated with increased risk of drinking and driving. Social networks are increasingly a target for intervention; however, no studies have examined and measured whether longitudinal changes in social networks are associated with reductions in impaired driving.

OBJECTIVE

The current study first examines longitudinal changes in social networks among participants receiving services following a first-time DUI, and then examines the association between network change and drinking outcomes at 4- and 10-month follow-up.

METHODS

The study surveyed a subsample of participants (N = 94) enrolled in a clinical trial of individuals randomized to cognitive behavioral therapy (CBT) or usual care (UC) on an iPad using EgoWeb 2.0-an egocentric social network data collection software-about pre-DUI and post-DUI networks and their short- and long-term drinking behaviors.

RESULTS

Participants were 65% male, 48% Hispanic, and an average of 32.5 years old. Overall, participants significantly reduced the proportion of network members with whom they drank from 0.41 to 0.30 (p = .001) and with whom they drank more alcohol than they wanted to from 0.15 to 0.07 (p = .0001) from two weeks prior to the DUI (measured at baseline) to 4-month follow-up. Furthermore, decreases in proportion of drinking partners over time were associated with reduced drinks per week, self-reported driving after drinking, and intentions to drive after drinking at 4-month follow-up. Participants who reported decreases in proportion of drinking partners also reported significantly less binge drinking at 10-month follow-up. Finally, increases in emotional support were associated with decreases in binge drinking at 4-month follow-up. The study found no differences in the changes in composition of networks between CBT and UC groups.

CONCLUSIONS

These results suggest that individuals receiving services in DUI programs significantly reduced risky network members over time and that these social network changes were associated with reduced drinking and other indicators of risk for DUI recidivism. Clinical interventions that target reductions in risky network members may improve outcomes for those enrolled in a DUI program.