The spread of alcohol consumption behavior in a large social network

Indirect social influence and diffusion of innovations: An experimental approach

A fundamental feature for understanding the diffusion of innovations through a social group is the manner in which we are influenced by our own social interactions. It is usually assumed that only direct interactions, those that form our social network, determine the dynamics of adopting innovations. Here, we test this assumption by experimentally and theoretically studying the role of direct and indirect influences in the adoption of innovations. We perform experiments specifically designed to capture the influence that an individual receives from their direct social ties as well as from those socially close to them, as a function of the separation they have in their social network. The results of 21 experimental sessions with more than 590 participants show that the rate of adoption of an innovation is significantly influenced not only by our nearest neighbors but also by the second and third levels of influences an adopter has. Using a mathematical model that accounts for both direct and indirect interactions in a network, we fit the experimental results and determine the way in which influences decay with social distance. The results indicate that the strength of peer pressure on an adopter coming from its second and third circles of influence is approximately two-third and one-third, respectively, relative to their closest neighbors. Our results strongly suggest that the adoption of an innovation is a complex process in which an individual feels significant pressure not only from their direct ties but also by those socially close to them.

Exploiting relationship directionality to enhance statistical modeling of peer-influence across social networks

Risky-prescribing is the excessive or inappropriate prescription of drugs that singly or in combination pose significant risks of adverse health outcomes. In the United States, prescribing of opioids and other "risky" drugs is a national public health concern. We use a novel data framework-a directed network connecting physicians who encounter the same patients in a sequence of visits-to investigate if risky-prescribing diffuses across physicians through a process of peer-influence. Using a shared-patient network of 10 661 Ohio-based physicians constructed from Medicare claims data over 2014-2015, we extract information on the order in which patients encountered physicians to derive a directed patient-sharing network. This enables the novel decomposition of peer-effects of a medical practice such as risky-prescribing into directional (outbound and inbound) and bidirectional (mutual) relationship components. Using this framework, we develop models of peer-effects for contagion in risky-prescribing behavior as well as spillover effects. The latter is measured in terms of adverse health events suspected to be related to risky-prescribing in patients of peer-physicians. Estimated peer-effects were strongest when the patient-sharing relationship was mutual as opposed to directional. Using simulations we confirmed that our modeling and estimation strategies allows simultaneous estimation of each type of peer-effect (mutual and directional) with accuracy and precision. We also show that failing to account for these distinct mechanisms (a form of model mis-specification) produces misleading results, demonstrating the importance of retaining directional information in the construction of physician shared-patient networks. These findings suggest network-based interventions for reducing risky-prescribing.

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.

Separating the Effects of Transitions Into and Out of Social Isolation and Loneliness on Cognitive Function in Later Life

OBJECTIVES

This study investigates the effects of social isolation and loneliness on cognitive function, distinguishing between the effects of transitioning into and out of these states.

METHODS

This study analyzed data from 6,663 adults aged 65 or older collected over the course of 7 waves (12 years) of the Korean Longitudinal Study of Aging from 2006 to 2018. A novel asymmetric fixed effects model was utilized to separately estimate the effects of transitions into and out of social isolation or loneliness.

RESULTS

The association of transitions into social isolation due to a lack of informal social contact or loneliness with cognitive function (b = -1.387, p < .001 and b = -0.601, p < .001, respectively) was stronger than the association of transitions out of these states (b = 0.345, p < .05 and b = 0.353, p < .001, respectively). The magnitude of the negative and positive coefficients was statistically different (F-statistic = 45.29, p < .001 and F-statistic = 5.12, p < .05, respectively). In contrast, no such asymmetric effects were observed for social isolation due to a lack of formal activity (F-statistic = 0.06, p = .800).

DISCUSSION

The detrimental effects of transitioning into social isolation due to a lack of informal social contact (but not formal activity) or loneliness on cognitive function outweigh the beneficial effects of transitioning out of these states. Preventing the onset of social disconnection should be prioritized as an intervention to improve the cognitive function of older adults.

An agent-based model of the spread of behavioural risk-factors for cardiovascular disease in city-scale populations

Cardiovascular disease (CVD) is the leading cause of mortality globally, and is the second main cause of mortality in the UK. Four key modifiable behaviours are known to increase CVD risk, namely: tobacco use, unhealthy diet, physical inactivity and harmful use of alcohol. Behaviours that increase the risk of CVD can spread through social networks because individuals consciously and unconsciously mimic the behaviour of others they relate to and admire. Exploiting these social influences may lead to effective and efficient public health interventions to prevent CVD. This project aimed to construct and validate an agent-based model (ABM) of how the four major behavioural risk-factors for CVD spread through social networks in a population, and examine whether the model could be used to identify targets for public health intervention and to test intervention strategies. Previous ABMs have typically focused on a single risk factor or considered very small populations. We created a city-scale ABM to model the behavioural risk-factors of individuals, their social networks (spousal, household, friendship and workplace), the spread of behaviours through these social networks, and the subsequent impact on the development of CVD. We compared the model output (predicted CVD events over a ten year period) to observed data, demonstrating that the model output is realistic. The model output is stable up to at least a population size of 1.2M agents (the maximum tested). We found that there is scope for the modelled interventions targeting the spread of these behaviours to change the number of CVD events experienced by the agents over ten years. Specifically, we modelled the impact of workplace interventions to show that the ABM could be useful for identifying targets for public health intervention. The model itself is Open Source and is available for use or extension by other researchers.

Tapping into alcohol use during COVID: Drinking correlates among bartenders and servers

The COVID pandemic placed a spotlight on alcohol use and the hardships of working within the food and beverage industry, with millions left jobless. Following previous studies that have found elevated rates of alcohol problems among bartenders and servers, here we studied the alcohol use of bartenders and servers who were employed during COVID. From February 12-June 16, 2021, in the midst of the U.S. COVID national emergency declaration, survey data from 1,010 employed bartender and servers were analyzed to quantify rates of excessive or hazardous drinking along with regression predictors of alcohol use as assessed by the 10-item Alcohol Use Disorders Identification Test (AUDIT). Findings indicate that more than 2 out of 5 (44%) people surveyed reported moderate or high rates of alcohol problem severity (i.e., AUDIT scores of 8 or higher)-a rate 4 to 6 times that of the heavy alcohol use rate reported pre- or mid-pandemic by adults within and outside the industry. Person-level factors (gender, substance use, mood) along with the drinking habits of one's core social group were significantly associated with alcohol use. Bartenders and servers reported surprisingly high rates of alcohol problem severity and experienced risk factors for hazardous drinking at multiple ecological levels. Being a highly vulnerable and understudied population, more studies on bartenders and servers are needed to assess and manage the true toll of alcohol consumption for industry employees.

ChatDashboard: A Framework to collect, link, and process donated WhatsApp Chat Log Data

In this paper, we present ChatDashboard, a framework for collecting, linking, and processing donated WhatsApp chat log data. The framework consists of the WhatsR R package for parsing, anonymizing, and preprocessing donated WhatsApp chat logs, the ChatDashboard R Shiny web app for uploading, reviewing, and securely donating WhatsApp chat logs, and DashboardTester, an automated script for testing the correct setup of the framework by simulating participants. With ChatDashboard, researchers can set up their own data collections to gather transparently donated WhatsApp chat log data from consenting participants and link them to survey responses. It enables researchers to retrospectively collect highly granular data on interpersonal interactions and communication without building their own tools from scratch. We briefly discuss the advantages of donated WhatsApp chat log data for investigating social relationships and provide a detailed explanation of the ChatDashboard framework. Additionally, we provide a step-by-step guideline in the supplementary materials for researchers to set up their own data donation pipelines.

Social network enhanced behavioral interventions for diabetes and obesity: A 3 arm randomized trial with 2 years follow-up in Jordan

While obesity and diabetes are rising pandemics, few low-cost and effective prevention and management strategies exist, especially in the Middle East. Nearly 20% of adults in Jordan suffer from diabetes, and over 75% are overweight or obese. Social network-based programs have shown promise as a viable public health intervention strategy to address these growing crises. We evaluated the effectiveness of the Microclinic Program (MCP) via a 6-month multi-community randomized trial in Jordan, with follow-up at 2 years. The MCP leverages existing social relationships to propagate positive health behaviors and information. We recruited participants from 3 community health centers in Amman, Jordan. Participants were eligible for the study if they had diabetes, pre-diabetes, or possessed ≥1 metabolic risk factor along with a family history of diabetes. We randomized participants into three trial arms: (A Group) received the Full MCP with curriculum-activated social network interactions; (B Group) received Basic MCP educational sessions with organic social network interactions; or (C Group-Control) received standard care coupled with active monitoring and parallel screenings. Groups of individuals were randomized as units in a 3:1:1 ratio, with resulting group sizes of n = 540, 186, and 188 in arms A, B, and C, respectively. We assessed the overall changes in body weight, fasting glucose, hemoglobin A1c (HbA1c) and mean arterial blood pressure between study arms in multiple evaluations across 2 years (including at 6-months and 2-years follow-up). We investigated the effectiveness of Full and Basic MCP social network interventions using multilevel models for longitudinal data with hierarchical nesting of individuals within MCP classrooms, within community centers, and within temporal cohorts. We observed significant overall 2-year differences between all 3 groups for changes in body weight (P = 0.0003), fasting blood glucose (P = 0.0015), and HbA1c (P = 0.0004), but not in mean arterial blood pressure (P = 0.45). However, significant changes in mean arterial pressure were observed for Full MCP versus controls (P = 0.002). Weight loss in the Full MCP exceeded (-0.97 kg (P<0.001)) the Basic MCP during the intervention. Furthermore, both Full and Basic MCP yielded greater weight loss compared to the control group at 2 years. The Full MCP also sustained a superior fasting glucose change over 2 years (overall P<0.0001) versus the control group. For HbA1c, the Full MCP similarly led to greater 6-month reduction in HbA1c versus the control group (P<0.001), with attenuation at 2 years. For mean arterial blood pressure, the Full MCP yielded a greater drop in blood pressure versus control at 6 months; with attenuation at 2 years. These results suggest that activated social networks of classroom interactions can be harnessed to improve health behaviors related to obesity and diabetes. Future studies should investigate how public health policies and initiatives can further leverage social network programs for greater community propagation. Trial registration. ClinicalTrials.gov Identifier: NCT01818674.

Alcohol consumption as a socially contagious phenomenon in the Framingham Heart Study social network

We use longitudinal social network data from the Framingham Heart Study to examine the extent to which alcohol consumption is influenced by the network structure. We assess the spread of alcohol use in a three-state SIS-type model, classifying individuals as abstainers, moderate drinkers, and heavy drinkers. We find that the use of three-states improves on the more canonical two-state classification, as the data show that all three states are highly stable and have different social dynamics. We show that when modelling the spread of alcohol use, it is important to model the topology of social interactions by incorporating the network structure. The population is not homogeneously mixed, and clustering is high with abstainers and heavy drinkers. We find that both abstainers and heavy drinkers have a strong influence on their social environment; for every heavy drinker and abstainer connection, the probability of a moderate drinker adopting their drinking behaviour increases by [Formula: see text] and [Formula: see text], respectively. We also find that abstinent connections have a significant positive effect on heavy drinkers quitting drinking. Using simulations, we find that while both are effective, increasing the influence of abstainers appears to be the more effective intervention compared to reducing the influence of heavy drinkers.

A Prospective Sociocentric Study of 2 Entire Traditional Korean Villages: The Korean Social Life, Health, and Aging Project (KSHAP)

The Korean Social Life, Health, and Aging Project (KSHAP) was a multidisciplinary prospective study conducted in South Korea that measured various health biomarkers from blood, hair, and brain magnetic resonance imaging, and we examined their associations with sociocentric (global) social network data of older adults in 2 entire villages (or cohorts). Cohort K included participants aged 60 years or older, and cohort L included participants aged 65 years or older. We performed a baseline survey involving 814 of the 860 individuals (94.7% response rate) in cohort K in 2012 and 947 of the 1,043 individuals (90.8% response rate) in cohort L in 2017. We gathered longitudinal data for 5 waves in cohort K from 2011 to 2019 and 2 waves in cohort L from 2017 to 2022. Here, we describe for the first time the follow-up design of the KSHAP, the changes in social networks, and various biomarkers over a number of years. The data for cohort K are publicly available via the Korean Social Science Data Archive as well as the project website, and the data for cohort L will be shared soon.

Proposing an integrative, dynamic and transdiagnostic model for addictions: dysregulation phenomena of the three main modes of the predostatic mind

Several theories have been proposed to explain the complex diagnostic aspects related to addiction disorders and their development. Recent frameworks tend to focus on dimensional perspectives of symptoms rather than categorical systems, since substance use disorders are frequently comorbid with other psychiatric and especially personality disorders. However, useful transdiagnostic models that could integrate clinical evaluation derived from neuroscientific theories are lacking. In the present manuscript, the authors propose a model based on a new paradigm, in an attempt to better explain this complex, multifaceted phenomenon. The new paradigm presupposes that emotions and behavior are a response to risk prediction. Individuals make choices and engage in actions to manage potential risks/rewards in order to seek or maintain homeostasis in their internal and external environments - a mechanism that the authors call predostatic (predictive mechanism with homeostatic purpose). The model considers three main modes of the predostatic mind: (1) Alarm Mode, activated by high and/or imminent risk prediction; (2) Seek Mode, activated by long-term risk or reward prediction; and (3) Balance Mode, a self-regulating state of mind related to low risk prediction, a soothing system and a calm state. Addiction is seen as a chronic dysregulation of organism systems leading to internalizing or externalizing phenomena mainly related to the Seek and Alarm Modes, which are persistently activated by reward and risk prediction, respectively, thus hindering Balance. Addiction neuroscience research has shown that chronic drug use or engagement in addictive behaviors can lead to neuroadaptations in the brain reward circuitry, disrupting normal balance and the regulation of reward processes. This dysregulation can contribute to persistent drug-seeking/addictive behaviors despite negative consequences. This newly proposed dynamic and integrative model, named dysregulation based on externalizing and internalizing phenomena of the three main modes of the predostatic mind (DREXI3), proposes six dysregulation dimensions with basic emotional and behavioral symptoms, such as neurophysiological alterations, impulsivity, compulsion, cognitive impairment/psychosis, mood, and anxiety/anger. In this paper, the authors explain the rationale behind DREXI3 and present some hypothetical clinical examples to better illustrate the use of the model in clinical practice. The development of this innovative model could possibly guide tailored treatment interventions in the addiction field.

Neurogenetics and Epigenetics of Loneliness

Loneliness, an established risk factor for both, mental and physical morbidity, is a mounting public health concern. However, the neurobiological mechanisms underlying loneliness-related morbidity are not yet well defined. Here we examined the role of genes and associated DNA risk polymorphic variants that are implicated in loneliness via genetic and epigenetic mechanisms and may thus point to specific therapeutic targets. Searches were conducted on PubMed, Medline, and EMBASE databases using specific Medical Subject Headings terms such as loneliness and genes, neuro- and epigenetics, addiction, affective disorders, alcohol, anti-reward, anxiety, depression, dopamine, cancer, cardiovascular, cognitive, hypodopaminergia, medical, motivation, (neuro)psychopathology, social isolation, and reward deficiency. The narrative literature review yielded recursive collections of scientific and clinical evidence, which were subsequently condensed and summarized in the following key areas: (1) Genetic Antecedents: Exploration of multiple genes mediating reward, stress, immunity and other important vital functions; (2) Genes and Mental Health: Examination of genes linked to personality traits and mental illnesses providing insights into the intricate network of interaction converging on the experience of loneliness; (3) Epigenetic Effects: Inquiry into instances of loneliness and social isolation that are driven by epigenetic methylations associated with negative childhood experiences; and (4) Neural Correlates: Analysis of loneliness-related affective states and cognitions with a focus on hypodopaminergic reward deficiency arising in the context of early life stress, eg, maternal separation, underscoring the importance of parental support early in life. Identification of the individual contributions by various (epi)genetic factors presents opportunities for the creation of innovative preventive, diagnostic, and therapeutic approaches for individuals who cope with persistent feelings of loneliness. The clinical facets and therapeutic prospects associated with the current understanding of loneliness, are discussed emphasizing the relevance of genes and DNA risk polymorphic variants in the context of loneliness-related morbidity.

United we thrive: friendship and subsequent physical, behavioural and psychosocial health in older adults (an outcome-wide longitudinal approach)

AIMS

Three factors converge to underscore the heightened importance of evaluating the potential health/well-being effects of friendships in older adulthood. First, policymakers, scientists, and the public alike are recognizing the importance of social relationships for health/well-being and creating national policies to promote social connection. Second, many populations are rapidly aging throughout the world. Third, we currently face what some call a 'friendship recession'. Although, growing research documents associations between friendship with better health and well-being, friendship can also have a 'dark side' and can potentially promote negative outcomes. To better capture friendship's potential heterogeneous effects, we took an outcome-wide analytic approach.

METHODS

We analysed data from 12,998 participants in the Health and Retirement Study (HRS) - a prospective and nationally representative cohort of U.S. adults aged >50, and, evaluated if increases in friendship strength (between t0; 2006/2008 and t1; 2010/2012) were associated with better health/well-being across 35 outcomes (in t2; 2014/2016). To assess friendship strength, we leveraged all available friendship items in HRS and created a composite 'friendship score' that assessed the following three domains: (1) friendship network size, (2) friendship network contact frequency and (3) friendship network quality.

RESULTS

Stronger friendships were associated with better outcomes on some indicators of physical health (e.g. reduced risk of mortality), health behaviours (e.g. increased physical activity) and nearly all psychosocial indicators (e.g. higher positive affect and mastery, as well as lower negative affect and risk of depression). Friendship was also associated with increased likelihood of smoking and heavy drinking (although the latter association with heavy drinking did not reach conventional levels of statistical significance).

CONCLUSIONS

Our findings indicate that stronger friendships can have a dual impact on health and well-being. While stronger friendships appear to mainly promote a range of health and well-being outcomes, stronger friendships might also promote negative outcomes. Additional research is needed, and any future friendship interventions and policies that aim to enhance outcomes should focus on how to amplify positive outcomes while mitigating harmful ones.

Strategies for measuring peer alcohol use within egocentric network analysis

OBJECTIVE

Compare different strategies for measuring perceived peer alcohol use within network research.

PARTICIPANTS

College students (N = 309).

METHODS

Collected demographic, personal alcohol use, and egocentric network data. Hierarchical linear regression analyses predicted egos' drinking behavior (AUDIT-C scores).

RESULTS

Egos' perceptions of nominated peers' binge-drinking frequency explained a significant portion of variance in egos' AUDIT-C scores, over and above perceptions of nominated peers' frequency/typical quantity of alcohol consumption and important demographic covariates. Using more than three items to assess perceived peer alcohol use did not offer statistically significant improvements and may add unnecessary response burden.

CONCLUSIONS

Utilizing the three-item approach (i.e., frequency, quantity, binge-drinking frequency) to assess perceived peer drinking explained more variance in egos' AUDIT-C scores, as opposed to one- and two-item assessments. Implementing this three-item assessment in egocentric network research can enhance programming efforts targeting reductions in binge drinking among college students within social contexts.

Eco-evolutionary dynamics in finite network-structured populations with migration

We consider the effect of network structure on the evolution of a population. Models of this kind typically consider a population of fixed size and distribution. Here we consider eco-evolutionary dynamics where population size and distribution can change through birth, death and migration, all of which are separate processes. This allows complex interaction and migration behaviours that are dependent on competition. For migration, we assume that the response of individuals to competition is governed by tolerance to their group members, such that less tolerant individuals are more likely to move away due to competition. We look at the success of a mutant in the rare mutation limit for the complete, cycle and star networks. Unlike models with fixed population size and distribution, the distribution of the individuals per site is explicitly modelled by considering the dynamics of the population. This in turn determines the mutant appearance distribution for each network. Where a mutant appears impacts its success as it determines the competition it faces. For low and high migration rates the complete and cycle networks have similar mutant appearance distributions resulting in similar success levels for an invading mutant. A higher migration rate in the star network is detrimental for mutant success because migration results in a crowded central site where a mutant is more likely to appear.

The bystander intervention for problematic alcohol use model (BIPAUM)

Objective: The study aimed to identify phases of bystander intervention (BI) for problematic alcohol use (PAU) among college students. Participants: Twenty focus groups and nine interviews were conducted. Methods: Transcripts were thematically analyzed. Results: The phases of the Bystander Intervention for Problematic Alcohol Use Model (BIPAUM) include: (1) plan in advance, (2) notice and interpret a sign, (3) decide (i.e., assume responsibility, assess support/feasibility to intervene, and identify intervention strategy), (4) intervene, and (5) assess outcomes. Assessing outcomes loops to influence future behavior and each phase is influenced by barriers and facilitators. Conclusions: These unique phases should be considered when designing and evaluating intervention programs for PAU to meet students' needs and better reduce PAU. Future research should empirically test the BIPAUM. The results of the current study demonstrate a promising opportunity for applying BI to PAU, with the goal of reducing risky drinking among college students.

Prevalence and factors associated with suicidal ideation, cannabis, and alcohol use during the COVID-19 pandemic in Saskatchewan: findings from a joint-effect modeling

BACKGROUND

Generally, pandemics such as COVID-19 take an enormous toll on people's lives. As the pandemic now turns to an endemic state, growing attention has been paid to the multiple adverse mental health and behavioral issues, such as suicidal ideation and substance use. However, the interplay of suicidality and substance misuse during the pandemic has been limited. We aimed to investigate the prevalence of co-occurrence of suicide ideation, alcohol and cannabis misuse, and the factors that are associated with these co-occurrences in the province of Saskatchewan during the COVID-19 pandemic.

METHODS

We performed a multivariable trivariate probit regression on a sample of 666 Saskatchewan adolescents and adults (16 years or older), drawn from the cycle 10 data collection (March 2022) of the Mental Health Commission of Canada, and Canadian Centre on Substance Use and Addiction (MHCC-CCSA) dataset.

RESULTS

The prevalence of suicidal ideation was higher among respondents who reported both problematic cannabis and alcohol use (25.8%) than single users of alcohol (23.2%) and cannabis (18.7%). Younger respondents (16-34 years) and those who reported recent changes in other substance use were independent factors that were associated with the common experience of suicide ideation, problematic cannabis, and alcohol use. Having a diagnosis of mental health disorders either before or during the pandemic, and the perceived inability to bounce back after the pandemic (low resilience) are strong correlates of suicidal ideation. Those who lived alone, between 35 and 55 years of age were more likely to report problematic alcohol use. Those who reported changes in alternative activities, who reported pandemic stress, and declared a LGBTQIA2S + identity had higher probability of problematic cannabis use.

CONCLUSIONS

As the pandemic persists, improving access to suicide and substance use interventions for the vulnerable groups identified in this study may be impactful.

Community Social Capital and Population Health Outcomes

Importance

While the association between economic connectedness and social mobility has now been documented, the potential linkage between community-level economic connectedness and population health outcomes remains unknown.

Objective

To examine the association between community social capital measures (defined as economic connectedness, social cohesion, and civic engagement) and population health outcomes (defined across prevalence of diabetes, hypertension, high cholesterol, kidney disease, and obesity).

Design, Setting, and Participants

This cross-sectional study included communities defined at the zip code tabulation area (ZCTA) level in all 50 US states. Data were collected from January 2021 to December 2022.

Main Outcomes and Measures

Multivariable regression analyses were used to examine the association between population health outcomes and social capital. Adjusted analyses controlled for area demographic variables and county fixed effects. Heterogeneities within the associations based on the racial and ethnic makeup of communities were also examined.

Results

In this cross-sectional study of 17 800 ZCTAs, across 50 US states, mean (SD) economic connectedness was 0.88 (0.32), indicating friendship sorting on income; the mean (SD) support ratio was 0.90 (0.10), indicating that 90% of ties were supported by a common friendship tie; and the mean (SD) volunteering rate was 0.08 (0.03), indicating that 8% of individuals within a given community were members of volunteering associations. Mean (SD) ZCTA diabetes prevalence was 10.8% (2.9); mean (SD) high blood pressure prevalence was 33.2% (6.2); mean (SD) high cholesterol prevalence was 32.7% (4.2), mean (SD) kidney disease prevalence was 3.0% (0.7), and mean (SD) obesity prevalence was 33.4% (5.6). Regression analyses found that a 1% increase in community economic connectedness was associated with significant decreases in prevalence of diabetes (-0.63%; 95% CI, -0.67% to -0.60%); hypertension (-0.31%; 95% CI, -0.33% to -0.29%); high cholesterol (-0.14%; 95% CI, -0.15% to -0.12%); kidney disease (-0.48%; 95% CI, -0.50% to -0.46%); and obesity (-0.28%; 95% CI, -0.29% to -0.27%). Second, a 1% increase in the community support ratio was associated with significant increases in prevalence of diabetes (0.21%; 95% CI, 0.16% to 0.26%); high blood pressure (0.16%; 95% CI, 0.13% to 0.19%); high cholesterol (0.16%; 95% CI, 0.13% to 0.19%); kidney disease (0.17%; 95% CI, 0.13% to 0.20%); and obesity (0.08%; 95% CI, 0.06% to 0.10%). Third, a 1% increase in the community volunteering rate was associated with significant increases in prevalence of high blood pressure (0.02%; 95% CI, 0.01% to 0.02%); high cholesterol (0.03%; 95% CI, 0.02% to 0.03%); and kidney disease (0.02%; 95% CI, 0.01% to 0.02%). Additional analyses found that the strength of these associations varied based on the majority racial and ethnic population composition of communities.

Conclusions and Relevance

In this study, higher economic connectedness was significantly associated with better population health outcomes; however, higher community support ratios and volunteering rates were both significantly associated with worse population health. Associations also differed by majority racial and ethnic composition of communities.

A qualitative study exploring the social contagion of attitudes and uptake of COVID-19 vaccinations

Vaccination attitudes and uptake can spread within social networks. This study aims to understand the perceived social contagion mechanisms of vaccination uptake in the context of COVID-19 pandemic. Eleven semi-structured interviews were conducted following a purposive sampling of three hesitant, three anti- COVID-19 vaccine and five pro- COVID-19 vaccine (27% females). Thematic Analysis suggested two general themes reflecting the type of contagion: 1) information contagion and 2) behavior contagion. Transcending these themes was the notion of ownership of choice/decision. Almost all participants used the media and experts as the main source of information regarding vaccination. They influenced - and they were being influenced by - friends and family members with whom they share similar traits and attitudes and have a close relationship of trust and intimacy. Also, being exposed to positive attitudes and beliefs toward vaccination and COVID-19 vaccines, enhanced vaccination behaviors. However, the vaccination decision-making process was not perceived as a passive process - there was ownership over the decisions made. This study highlights the perceived mechanisms of social contagion. It also suggests that the meaning individuals pose on their social world is crucial on their decision-making. Policymakers are advised to consider including social networks of individuals and trusted sources (i.e. healthcare providers) when delivering interventions or educational campaigns on vaccinations.

Mobility restrictions and alcohol use during lockdown: "A still and dry pandemic for the many"?

Unexpected mobility disruptions during lockdown during the first wave of COVID-19 became 'tipping points' with the potential to alter pre-pandemic routines sensitive to socialisation. This paper investigates the impact of lockdown exposure on alcohol consumption. We document two findings using information from the Google Mobility Report and longitudinal data from the Understanding Society survey (UKHLS) in the United Kingdom. First, we find a sharp reduction in both actual mobility and alcohol use (consistent with a "still and dry pandemic for the many" hypothesis). However, we document an increase in alcohol use among heavy drinkers, implying a split behavioural response to COVID-19 mobility restrictions based on alcohol use prior to the pandemic. Second, using the predictions of the prevalence-response elasticity theory, we find that the pandemic's reduction in social contacts is responsible for a 2.8 percentage point reduction in drinking among men.

Unhealthy lifestyles and clusters status among 3637 adolescents aged 11-23 years: a school-based cross-sectional study in China

BACKGROUND

Unhealthy lifestyles are risk factors for non-communicable diseases (NCDs) and tend to be clustered, with a trajectory that extends from adolescence to adulthood. This study investigated the association of diets, tobacco, alcohol, physical activity (PA), screen time (ST) and sleep duration (SD) in a total of six lifestyles, separately and as cumulative lifestyle scores, with sociodemographic characteristics among school-aged adolescents in the Chinese city of Zhengzhou.

METHODS

In the aggregate, 3,637 adolescents aged 11-23 years were included in the study. The questionnaire collected data on socio-demographic characteristics and lifestyles. Healthy and unhealthy lifestyles were identified and scored, depending on the individual score (0 and 1 for healthy and unhealthy lifestyles respectively), with a total score between 0 and 6. Based on the sum of the dichotomous scores, the number of unhealthy lifestyles was calculated and divided into three clusters (0-1, 2-3, 4-6). Chi-square test was used to analyze the group difference of lifestyles and demographic characteristics, and multivariate logistic regression was used to explore the associations between demographic characteristics and the clustering status of unhealthy lifestyles.

RESULTS

Among all participants, the prevalence of unhealthy lifestyles was: 86.4% for diet, 14.5% for alcohol, 6.0% for tobacco, 72.2% for PA, 42.3% for ST and 63.9% for SD. Students who were in university, female, lived in country (OR = 1.725, 95% CI: 1.241-2.398), had low number of close friends (1-2: OR = 2.110, 95% CI: 1.428-3.117; 3-5: OR = 1.601, 95% CI: 1.168-2.195), and had moderate family income (OR = 1.771, 95% CI: 1.208-2.596) were more likely to develop unhealthy lifestyles. In total, unhealthy lifestyles remain highly prevalent among Chinese adolescents.

CONCLUSION

In the future, the establishment of an effective public health policy may improve the lifestyle profile of adolescents. Based on the lifestyle characteristics of different populations reported in our findings, lifestyle optimization can be more efficiently integrated into the daily lives of adolescents. Moreover, it is essential to conduct well-designed prospective studies on adolescents.

Partners in Health: Investigating Social Genetic Effects Among Married and Cohabiting Couples

Partners resemble each other in health behaviors and outcomes such as alcohol use, smoking, physical activity, and obesity. While this is consistent with social contagion theory suggesting partner influence, it is notoriously difficult to establish causality because of assortative mating and contextual confounding. We offer a novel approach to studying social contagion in health in long-term partnerships by combining genetic data of both partners in married/cohabiting couples with longitudinal data on their health behaviors and outcomes. We examine the influence of the partner's genetic predisposition for three health outcomes and behaviors (BMI, smoking, and drinking) among married/cohabiting couples. We use longitudinal data from the Health and Retirement Study and the English Longitudinal Study of Ageing with data on health outcomes and genotypes for both partners. Results show that changes over time in BMI, smoking, and drinking depend on the partner's genetic predispositions to these traits. These findings underline the importance of people's social surroundings for their health and highlight the potential of targeting health interventions at couples.

Health Behavior Changes after a Diabetes Diagnosis: The Moderating Role of Social Support

The present study aims to investigate the relationship between a diagnosis of diabetes and health behavior changes among middle-aged and older adults, and whether self-efficacy and social support moderate the relationship. The study sample was selected from the 2006 to 2016 waves of the Health and Retirement Study (N = 13,143). A diagnosis of diabetes was ascertained by self-reported physician-diagnosed condition. Self-efficacy was measured using a 5-item scale. Social support from family and friends was measured separately by a same 3-item scale. Three health behaviors were assessed, including drinking, smoking, and physical activity. Mixed-effects regression models were conducted to test the study aims. Findings showed that participants reduced drinking after a diagnosis of diabetes. A significant interaction between social support from family and a diabetes diagnosis was found in predicting drinking reduction and smoking cessation. These findings suggest that a diagnosis of diabetes may trigger individuals' motivation to initiate health-promoting behaviors. Mobilizing social support from family may help individuals adopt health-promoting behaviors and manage diabetes after a diagnosis.

Community characteristics and the risk of non-communicable diseases in Ghana

Non-communicable Diseases (NCDs) are rising quickly in low- and middle- income countries. In Ghana, chronic diseases are major causes of morbidity and mortality, yet data and the evidence- base for awareness, detection, and management of NCDs are lacking. Using data from the 2014 Ghana Demographic and Health Survey (GDHS), the first national study with information on hypertension and other risk factors, we examine the correlates and community characteristics associated with the risk of hypertension, obesity, and anemia among women. We find that hypertension prevalence in Ghana was 16 percent and 17 percent were overweight/obese, while 41 percent had anemia of any form. On community characteristics, the level of poverty in a community was significantly associated with lower risks of all three NCDs, while the aggregate level of employment had higher risks. On individual characteristics, the wealth of a household, women's educational level and urban residence were significant predictors of NCDs. We interpret the findings within the literature on neighborhood characteristics, the social gradient of health and in the context of speeding up the attainment of the Sustainable Development Goals (SGDS) to reduce premature deaths by one-third by 2030.

Associations of parent-adolescent closeness with P3 amplitude, frontal theta, and binge drinking among offspring with high risk for alcohol use disorder

BACKGROUND

Parents impact their offspring's brain development, neurocognitive function, risk, and resilience for alcohol use disorder (AUD) via both genetic and socio-environmental factors. Individuals with AUD and their unaffected children manifest low parietal P3 amplitude and low frontal theta (FT) power, reflecting heritable neurocognitive deficits associated with AUD. Likewise, children who experience poor parenting tend to have atypical brain development and greater rates of alcohol problems. Conversely, positive parenting can be protective and critical for normative development of self-regulation, neurocognitive functioning and the neurobiological systems subserving them. Yet, the role of positive parenting in resiliency toward AUD is understudied and its association with neurocognitive functioning and behavioral vulnerability to AUD among high-risk offspring is less known. Using data from the Collaborative Study on the Genetics of Alcoholism prospective cohort (N = 1256, mean age [SD] = 19.25 [1.88]), we investigated the associations of closeness with mother and father during adolescence with offspring P3 amplitude, FT power, and binge drinking among high-risk offspring.

METHODS

Self-reported closeness with mother and father between ages 12 and 17 and binge drinking were assessed using the Semi-Structured Assessment for the Genetics of Alcoholism. P3 amplitude and FT power were assessed in response to target stimuli using a Visual Oddball Task.

RESULTS

Multivariate multiple regression analyses showed that closeness with father was associated with larger P3 amplitude (p = 0.002) and higher FT power (p = 0.01). Closeness with mother was associated with less binge drinking (p = 0.003). Among male offspring, closeness with father was associated with larger P3 amplitude, but among female offspring, closeness with mother was associated with less binge drinking. These associations remained statistically significant with father's and mothers' AUD symptoms, socioeconomic status, and offspring impulsivity in the model.

CONCLUSIONS

Among high-risk offspring, closeness with parents during adolescence may promote resilience for developing AUD and related neurocognitive deficits albeit with important sex differences.

Hazardous drinking and alcohol use disorders

Alcohol is one of the most widely consumed psychoactive drugs globally. Hazardous drinking, defined by quantity and frequency of consumption, is associated with acute and chronic morbidity. Alcohol use disorders (AUDs) are psychiatric syndromes characterized by impaired control over drinking and other symptoms. Contemporary aetiological perspectives on AUDs apply a biopsychosocial framework that emphasizes the interplay of genetics, neurobiology, psychology, and an individual's social and societal context. There is strong evidence that AUDs are genetically influenced, but with a complex polygenic architecture. Likewise, there is robust evidence for environmental influences, such as adverse childhood exposures and maladaptive developmental trajectories. Well-established biological and psychological determinants of AUDs include neuroadaptive changes following persistent use, differences in brain structure and function, and motivational determinants including overvaluation of alcohol reinforcement, acute effects of environmental triggers and stress, elevations in multiple facets of impulsivity, and lack of alternative reinforcers. Social factors include bidirectional roles of social networks and sociocultural influences, such as public health control strategies and social determinants of health. An array of evidence-based approaches for reducing alcohol harms are available, including screening, pharmacotherapies, psychological interventions and policy strategies, but are substantially underused. Priorities for the field include translating advances in basic biobehavioural research into novel clinical applications and, in turn, promoting widespread implementation of evidence-based clinical approaches in practice and health-care systems.

Causal Inference for Social Network Data

We describe semiparametric estimation and inference for causal effects using observational data from a single social network. Our asymptotic results are the first to allow for dependence of each observation on a growing number of other units as sample size increases. In addition, while previous methods have implicitly permitted only one of two possible sources of dependence among social network observations, we allow for both dependence due to transmission of information across network ties and for dependence due to latent similarities among nodes sharing ties. We propose new causal effects that are specifically of interest in social network settings, such as interventions on network ties and network structure. We use our methods to reanalyze an influential and controversial study that estimated causal peer effects of obesity using social network data from the Framingham Heart Study; after accounting for network structure we find no evidence for causal peer effects.

Couples-based behaviour change interventions to reduce metabolic syndrome risk. A systematic review

BACKGROUND AND AIMS

Metabolic Syndrome (MetS), is a major risk factor for non-communicable diseases including type 2 diabetes mellitus, cardiovascular disease, and cancer. Although MetS risk is transferred via the epigenome from both biological parents, periconceptional lifestyle interventions are generally directed towards mothers. There is a need for interventions to reflect the shared nature of epigenetic MetS risk between both biological parents. Couples-based lifestyle interventions have previously been used to improve adherence to behaviour change in conditions with shared risk responsibility such as sexually transmitted diseases. This systematic literature review sought to answer the research question: Are couples-based interventions more effective than individual interventions to address overweight and obesity as the primary modifiable risk for MetS in addition to other associated factors.

METHODS

Couples-based studies involving randomised controlled trials, published between 01/01/1990-31/12/2021, were identified in Medline, CINAHL, PsycINFO, Psychology and Behavioural Sciences Collection, Cochrane, and Scopus.

RESULTS

After screening 4742 articles, only five eligible trials remained. Statistically significant post-intervention maintenance of low glycaemic levels was observed in one study. Otherwise, no statistically significant group differences between couples' groups and control groups were observed in any of the five included studies.

CONCLUSIONS

The included studies concluded that couple-based interventions can lead to weight reduction, maintenance, and adherence to modified health behaviours similar to interventions that target individuals. Overall, the findings indicate that, notwithstanding the paucity of authentic couples-based interventions, there is potential for such approaches to moderate MetS risk factors likely to flow onto epigenetic transmission of risk.

The impact of spousal behavior changes on smoking, drinking and physical activity: The longitudinal survey of middle-aged and elderly persons in Japan

The purpose of this study is to assess how one spouse's behavior change can influence their partner's successful behavior changes in smoking, drinking and physical activity. We used data from 10-wave prospective annual surveys of 9417 married couples (discrete-time person-years = 118,876) aged 50-59 years in the Longitudinal Survey of Middle-aged and Elderly Persons in Japan. A logistic generalized estimating equation model with discrete-time design was used among individuals who smoked at baseline to examine the impact of their spouse's health behaviors (i.e. quit smoking, stable non-smoker, or started smoking in reference to stable smoker) on changes in their own behavior (quitting smoking) which lasted one year or more. Similarly, reducing alcohol intake and starting physical activity were individually analyzed. Partners of spouses who had quit smoking had higher odds of quitting smoking themselves than partners of spouses who were stable smokers. The multivariable odds ratios[95%CI] in men and women were 1.94[1.23-3.07] and 2.89[1.81-4.52]. An association was found in partners of spouses who had been stable non-smokers (OR:1.64[1.33-2.03] and 2.20[1.66-2.94]), but not after spouses had started smoking (OR:1.29[0.71-2.36] and 1.27[0.54-2.99]). Similar associations were found for reducing alcohol intake and starting physical activity although for physical activity, the association was still found after the spouse had become physically inactive. Couples affect each other's health behaviors. Both male and female participants had higher odds of adopting positive health behavior changes if these changes had previously been made by their spouse.

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

Loneliness and Increased Hazardous Alcohol Use: Data from a Nationwide Internet Survey with 1-Year Follow-Up

We aimed to examine the association between loneliness and developing alcohol dependence or hazardous alcohol use. A cohort study was conducted utilizing data from a nationwide internet survey in 2021 and 2022 in Japan. A total of 15,854 follow-up participants (55% men, with a mean age of 52.8 years) were divided based on AUDIT scores: nondrinkers (AUDIT: 0), low-risk drinkers (AUDIT: 1-7), medium-risk drinkers (AUD: 8-14), high-risk drinkers (AUDIT: 15-19), and probable alcohol dependence (AUDIT: 20-40). The University of California, Los Angeles Loneliness Scale (Version 3), a short-form three-item scale, was used to assess loneliness (high loneliness score of ≥6). The prevalence of high loneliness was higher in nondrinkers than that in low- and medium-risk drinkers, i.e., 22%, 18%, and 17%, respectively, as well as in high-risk drinkers (32%) and those with probable alcohol dependence (43%) compared to non-high-risk drinkers (19%). After adjusting for various factors (sociodemographic, social isolation, psychological distress, and smoking), non-high-risk drinkers (AUDIT: 0-14) with high loneliness were more likely to become high-or-over-risk drinkers (AUDIT: 15-40) than those without high loneliness, with adjusted risk ratios of 1.45 (95% confidence interval: 1.08-1.96) through multivariable binary logistic regression. Among non-high-risk drinkers, people with high loneliness scores at baseline were associated with increased high-risk drinking patterns with probable alcohol dependence.

To drink or not to drink: A study of the association between rates of non-drinkers and per drinker mean alcohol consumption in the Swedish general population

INTRODUCTION

Understanding how the mean consumption per drinker and rates of non-drinking interplay to form overall per capita alcohol consumption is imperative for our understanding of population drinking. The aim of the present study is to examine the association between rates of non-drinkers and per drinker mean alcohol consumption in the Swedish adult population and for different percentiles of drinkers.

METHODS

Data came from a monthly telephone survey of drinking habits in the Swedish adult population between 2002 and 2013. Alcohol consumption and non-drinking during the last 30 days were measured by beverage-specific quantity-frequency questions. Regression models estimated the association between the rate of non-drinkers and per drinker volume on annual data. Auto-regressive integrated moving average time-series models estimated the association on monthly data.

RESULTS

A significant (P < 0.01) negative association (-0.849) was found between the rate of non-drinkers and per drinker mean volume on annual data. A unit increase in non-drinking was associated with a decline of 0.85 cl of pure alcohol among drinkers. This finding was mirrored across all percentiles of consumption. The semi-log models found that a 1% unit increase in the rate of non-drinkers was followed by a 2% reduction in per drinker mean consumption. Auto-regressive integrated moving average time-series models verified these results.

DISCUSSION AND CONCLUSIONS

There is a significant association between the proportion of non-drinkers and the amount of drinking among drinkers. The theory of collectivity of drinking cultures should also include the non-drinking part of the population.

Social networking site use and alcohol use behaviors among adolescents: A latent profile analysis

BACKGROUND

Adolescent exposure to alcohol-related social networking site (SNS) content is associated with their own alcohol use. However, there is a need to better understand the relationship between varying levels of adolescent SNS use and alcohol-related risks. In this study, we sought to identify distinct patterns of SNS use across multiple platforms (Facebook, Instagram, and Snapchat) and to assess associations between those patterns and alcohol use outcomes.

METHODS

Data were collected as part of a baseline assessment for a larger longitudinal experimental study. Participants (N = 306, age 15-20) completed measures of demographics, SNS use, and alcohol use.

RESULTS

Using latent profile analysis (LPA), three SNS use profiles were empirically derived: low SNS users (27.5%), high frequency, low duration users (47.4%), and high frequency, high duration users (25.2%). Significant differences in daily drinking (F [2, 301] = 3.39, p = 0.035) and AUDIT scores (F [2, 289] = 6.15, p = 0.002) were observed for the three profiles, with members of the high frequency, high duration profile reporting significantly more weekly drinks and higher AUDIT scores when compared to the other two profiles.

CONCLUSION

These findings imply that a combination of high frequency and high duration SNS use may place individuals at risk for potentially problematic drinking. Given many clinicians have limited opportunities to delve into their patients' SNS use patterns, results suggest that a simple understanding of frequency and duration of use may provide enough information to indicate who may be at risk.

Indirect influence in social networks as an induced percolation phenomenon

Percolation theory has been widely used to study phase transitions in network systems. It has also successfully explained various macroscopic spreading phenomena across different fields. Yet, the theoretical frameworks have been focusing on direct interactions among nodes, while recent empirical observations have shown that indirect interactions are common in many network systems like social and ecological networks, among others. By investigating the detailed mechanism of both direct and indirect influence on scientific collaboration networks, here we show that indirect influence can play the dominant role in behavioral influence. To address the lack of theoretical understanding of such indirect influence on the macroscopic behavior of the system, we propose a percolation mechanism of indirect interactions called induced percolation. Surprisingly, our model exhibits a unique anisotropy property. Specifically, directed networks show first-order abrupt transitions as opposed to the second-order continuous transition in the same network structure but with undirected links. A mix of directed and undirected links leads to rich hybrid phase transitions. Furthermore, a unique feature of the nonmonotonic pattern is observed in network connectivities near the critical point. We also present an analytical framework to characterize the proposed induced percolation, paving the way to further understanding network dynamics with indirect interactions.

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.

A diagnosis of diabetes and health behavior maintenance in middle-aged and older adults in the United States: The role of self-efficacy and social support

The present study aims to investigate the relationship between a diagnosis of diabetes and the maintenance of health behaviors, and whether self-efficacy and social support moderate the relationship. The study sample came from the 2006 to 2016 waves of the Health and Retirement Study in the United States (N = 13,143). A diagnosis of diabetes was ascertained by self-reported physician-diagnosed condition. Self-efficacy was measured using a 5-item scale. Social support from family and friends were measured separately by a 3-item scale. Three health behaviors were examined, namely alcohol consumption, smoking, and physical activity. Cox proportional hazards regression models were performed to test the study aims. Respondents who reported a diagnosis of diabetes were 1.50 times more likely to fail to maintain physical activity (95% CI = 1.26, 1.77). This relationship was moderated by social support from family, which was related to lower hazards of failure to maintain physical activity among individuals who had a diagnosis of diabetes compared to those without a diagnosis. The study suggests that a diagnosis of diabetes may be a stressful health event that negatively affects physical activity maintenance. In addition, the findings highlight the importance of incorporating strategies to mobilize social support from family, which may help individuals sustain their efforts to maintaining health-promoting behaviors after a diabetes diagnosis.

Insights from system dynamics applications in addiction research: A scoping review

BACKGROUND AND AIMS

Substance misuse and use disorders are dynamic and complex problems, situated within systems of interacting social, environmental, and neurobiological factors. System dynamics (SD) methods broaden, test, and improve understanding of complex systems and can help inform effective action. We sought to systematically review the use of SD tools in addiction-related research.

METHODS

Following PRISMA guidelines, we searched several databases from 1958 to 2019. We included studies focused on addiction-related screening and diagnosis, treatment, and return to use, as well as studies focused on earlier stages that may begin a path to addiction (e.g., experimentation, misuse onset).

RESULTS

We extracted information from 59 articles with a median publication year of 2014. In addition to using SD to understand the underlying complexity driving addiction-related trends, other commonly cited reasons for use of SD included assessing impacts of potential actions (n = 35), predicting future trends (n = 28), and supporting strategic planning processes (n = 22). Most studies included simulation models (n = 43); however, some presented insights from qualitative SD diagrams (n = 9) and concept models (n = 6). The majority of studies focused on stages leading to potential addiction: initiation/ experimentation (n = 42) and misuse onset (n = 38). One-third (n = 20) engaged persons with lived experience or other stakeholders during the modeling process.

CONCLUSIONS

Addiction-related SD research has increased over the last few decades with applications varying in several ways, from model purpose and types of data used to stakeholder involvement. Future applications should consider the benefits of stakeholder engagement throughout the modeling process and expanding models to include concomitant substance use.

Understanding the interplay between lifestyle factors and emotional distress for hemorrhagic stroke survivors and their informal caregivers: Protocol for a mixed methods dyadic natural history study

Emotional distress (depression, anxiety, and PTS) and unhealthy lifestyle factors (e.g., smoking, alcohol consumption, poor diet, limited physical activity, medication adherence) are common in hemorrhagic stroke (HS) survivors and may increase risk for recurrence, morbidity, and mortality. Emotional distress and unhealthy lifestyle factors tend to be interdependent between survivors and their informal caregivers (e.g., family and friends who provide unpaid care; together called dyads), such that one partner's lifestyle and coping behaviors influence the other's behaviors, yet no research has closely examined this relationship in HS dyads over time. We will conduct a mixed methods study to quantitatively and qualitatively understand the longitudinal relationship between emotional distress and lifestyle factors across time in this population (HS dyads) to identify treatment targets to prevent emotional distress chronicity and stroke recurrence. In aim 1, we will assess emotional distress (i.e., depression, anxiety, and PTS) and lifestyle factors (smoking, alcohol consumption, poor diet, limited physical activity medication adherence/blood pressure control) in dyads of survivors of HS and their caregivers (N = 80), at three separate time points (hospitalization in the Neuro-ICU, 1, and 3 months later). We hypothesize that 1) lifestyle factors and emotional distress will be interrelated within and across time for both survivors and caregivers, and 2) lifestyle factors and emotional distress will be interdependent between survivors and caregivers. We also aim to explore the nuanced interplay between lifestyle factors and emotional distress and gain in depth information on barriers and facilitators for a dyadic intervention to optimize lifestyle behaviors and emotional functioning in HS dyads. Eligible patients will be adults who have a caregiver also willing to participate. Patients will be referred for study participation by the nursing team who will ensure that they are cognitively able to meaningfully participate. Multilevel dyadic modeling (i.e., actor-partner interdependence model; APIM) with distinguishable dyads will be used to determine influences of these factors onto each other over time. In Aim 2, we will conduct live video qualitative dyadic interviews (N = 20 or until theme saturation) at all time points from the same participants with and without emotional distress and at least one lifestyle risk factor, to understand the nuanced relationships between emotional distress and lifestyle behaviors, and barriers and facilitators to engagement in a skills-based psychosocial intervention. Interviews will be analyzed using inductive and deductive approaches. The present study is currently ongoing. So far, we enrolled 2 participants. Recruitment will end October 2022 with plans to analyze data by December 2022. The findings from this study will be used to further develop psychosocial interventions and inform novel treatments for survivors of HS and their informal caregivers.

Overestimation of alcohol consumption norms as a driver of alcohol consumption: a whole-population network study of men across eight villages in rural, southwestern Uganda

BACKGROUND AND AIMS

Little is known about how perceived norms about alcohol consumption may influence high alcohol consumption rates in Uganda. This study estimated the accuracy of perceived norms about men's alcohol consumption and estimated the association between perceived norms and personal alcohol consumption.

DESIGN

Cross-sectional, whole-population, sociocentric social network study.

SETTING

Eight rural villages in Rwampara District, southwestern Uganda in 2016-18.

PARTICIPANTS

A total of 719 men aged 18 years and older (representing 91% of permanent resident men).

MEASUREMENTS

Self-reported frequent (≥ 4 days per week) and heavy alcohol consumption (six or more drinks on one occasion, more than three occasions of intoxication, or spending an excessive amount on alcohol). Participants also reported whether they thought most other men in their village engaged in frequent and heavy alcohol consumption (perceived norms). Using the network study design, we calculated alcohol consumption behavior within villages and social networks. Perceived norms were compared with aggregated self-reports. Multivariable Poisson regression models were used to estimate the association between perceived norms and individual behavior.

FINDINGS

Throughout villages, frequent and heavy alcohol consumption ranged from 7 to 37%. However, 527 (74%) participants perceived, contrary to fact, that most other men in their villages frequently consumed alcohol, and 576 (81%) perceived that most others heavily consumed alcohol. Overestimation of alcohol consumption by others was pervasive among socio-demographic subgroups and was present irrespective of the actual consumption behavior at the village level and within social networks. Men who misperceived these alcohol consumption behaviors as being common were more likely to engage in frequent [adjusted relative risk (aRR) = 3.98; 95% confidence interval (CI) = 1.69-9.34) and heavy (aRR = 4.75; 95% CI = 2.33-9.69) alcohol consumption themselves.

CONCLUSIONS

Most men in eight rural Ugandan villages incorrectly thought that frequent and heavy alcohol consumption were common among men in their villages. These misperceived norms had a strong positive association with individual drinking behavior.

The social contagion of temporal discounting in small social networks

Decisions often require a tradeoff between immediate and long-term gratification. How individuals resolve such tradeoffs reflects constructs such as temporal discounting, the degree that individuals devalue delayed rewards. Recent research has started to focus on temporal decisions made in collaborative contexts (e.g., dyads, small groups). Results suggest that directly interacting with others leads to revisions in preferences, such that decision makers become more similar to their collaborative partners over time (e.g., more patient following collaboration with a patient other). What remains to be seen is whether this social influence extends to indirect social effects, such as when an individual influences another’s preferences through a shared collaborative partner. In the current study, the focus was on decisions regarding hypothetical monetary rewards. Groups of three participated in a collaborative decision-making chain, in which network member X collaborated with member Y, who then subsequently collaborated with member Z. Though network members X and Z never directly interacted, a significant indirect link was observed between member X’s pre-collaborative decision preferences and member Z’s post-collaborative decision preferences. These results demonstrate that temporal decision preferences can be transmitted through intervening connections in a small social network (i.e., social contagion), showing that indirect social influence can be empirically observed and measured in controlled environments.

Using TikTok in recovery from substance use disorder

BACKGROUND

There are many effective treatment options for substance use disorder (SUD), yet most individuals with SUD do not seek formal treatment services. Given the rising popularity of TikTok and need to foster innovative means through which to attract and engage individuals with SUD with treatment, we sought to characterize how TikTok users in SUD recovery are using this platform to bolster their recovery support and/or give hope to others who are struggling with substance use.

METHODS

Our sample consisted of 82 of the most liked TikTok videos related to attempts to cut down on or abstain from substances and/or strengthen SUD recovery. We employed an iterative process to codebook development resulting in codes for demographics, user-sentiment, video type, and mechanisms of recovery-related behavior change. Videos were independently double-coded and evaluated for inter-rater reliability.

RESULTS

Video in this sample were heavily viewed, accounting for over 2 million views per video and 325,000 likes on average. Most common video themes were sharing a journey from active SUD to recovery (40.2%) and sharing/celebrating a recovery milestone (37.8%), followed by recurrence of substance use (12.2%). Commonly exemplified mechanisms of recovery-related behavior change included embracing a strong social identity as a person in recovery (81.7%), social support (45.1%), and participation in rewarding alternative activities (39.0%).

CONCLUSION

TikTok SUD recovery-focused videos can potentially reach millions with portrayed themes similar to established therapeutic mobilizers and mechanisms. More research is needed to better understand whether digital recovery narratives can effectively normalize experiences of addiction and help-seeking behaviors.

Social network research hotspots and trends in public health: A bibliometric and visual analysis

Objectives

To understand the research landscape and identify the research hotspots and trends of the application of social network theory and analysis to public health.

Study design

A bibliometric study of publications regarding application of social network theory and analysis to public health.

Methods

Choosing 1607 articles about the application of social network theory and analysis to public health from the core collection database of Web of Science published from 1991 to 2020 as the research sample. A bibliometric and visual analysis of publication quantity and content was performed to analyze time trends, spatial distribution, cooperation networks, influential references, and keyword co-occurrence, clusters, and emergence.

Results

There is an increasing trend in the use of social network theory and analysis in the public health field, with the United States taking the lead. Research focuses include on transmission of diseases or behavior through social networks and the influence of social networks on population health at different ages. Current research frontiers primarily include the role of social networks in tracking of emerging infectious diseases like COVID-19, preventing and controlling chronic diseases, and carrying out healthy behavioral interventions.

Conclusions

This study provides a comprehensive quantitative overview of the historic development of and latest topics in the application of social network theory and analysis method to public health. More attention should be paid to the important role of social networks in tracing the emergence of serious infectious diseases like COVID-19, as well as preventing and controlling chronic diseases and intervening in health behaviors, considering the increasing challenges and opportunities presented by online social networking.

•

The use of social network theory and analysis (SNT/A) in public health has grown sharply since 2007.

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The United States has taken the lead in this field of research, with some active institutions in the U.S. and the Europe.

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The transmission of diseases or behaviors within social networks is a major research focus in this interdisciplinary field.

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Research frontiers primarily include using SNT/A to track, prevent and control diseases, like COVID-19.

Dose-response functions and surrogate models for exploring social contagion in the Copenhagen Networks Study

Spreading dynamics and complex contagion processes on networks are important mechanisms underlying the emergence of critical transitions, tipping points and other non-linear phenomena in complex human and natural systems. Increasing amounts of temporal network data are now becoming available to study such spreading processes of behaviours, opinions, ideas, diseases and innovations to test hypotheses regarding their specific properties. To this end, we here present a methodology based on dose-response functions and hypothesis testing using surrogate data models that randomise most aspects of the empirical data while conserving certain structures relevant to contagion, group or homophily dynamics. We demonstrate this methodology for synthetic temporal network data of spreading processes generated by the adaptive voter model. Furthermore, we apply it to empirical temporal network data from the Copenhagen Networks Study. This data set provides a physically-close-contact network between several hundreds of university students participating in the study over the course of 3 months. We study the potential spreading dynamics of the health-related behaviour "regularly going to the fitness studio" on this network. Based on a hierarchy of surrogate data models, we find that our method neither provides significant evidence for an influence of a dose-response-type network spreading process in this data set, nor significant evidence for homophily. The empirical dynamics in exercise behaviour are likely better described by individual features such as the disposition towards the behaviour, and the persistence to maintain it, as well as external influences affecting the whole group, and the non-trivial network structure. The proposed methodology is generic and promising also for applications to other temporal network data sets and traits of interest.

Social connections and the healthfulness of food choices in an employee population

Unhealthy food choice is an important driver of obesity, but research examining the relationship of food choices and social influence has been limited. We sought to assess associations in the healthfulness of workplace food choices among a large population of diverse employees whose food-related social connections were identified using passively collected data in a validated model. Data were drawn from 3 million encounters where pairs of employees made purchases together in 2015-2016. The healthfulness of food items was defined by 'traffic light' labels. Cross-sectional simultaneously autoregressive models revealed that proportions of both healthy and unhealthy items purchased were positively associated between connected employees. Longitudinal generalized estimating equation models also found positive associations between an employee's current food purchase and the most recent previous food purchase a coworker made together with the employee. These data indicate that workplace interventions to promote healthy eating and reduce obesity should test peer-based strategies.

The role of social network support in treatment outcomes for medication for opioid use disorder: A systematic review

BACKGROUND

Social connections can lead to contagion of healthy behaviors. Successful treatment of patients with opioid use disorder may lay in rebuilding social networks. Strong social networks of support can reinforce the benefits of medication treatments that are the current standard of care and the most effective tool physicians have to fight the opioid epidemic.

METHODS

The research team conducted a systematic review of electronic research databases, specialist journals and grey literature up to August 2020 to identify randomized controlled trials of social network support in patient populations receiving medication for opioid use disorder (MOUD). The research team placed the studies into a framework of dynamic social networks, examining the role of networks before MOUD treatment is initiated, during the treatment, and in the long-term following the treatment. The research team analyzed the results across three sources of social network support: partner relationships, family, and peer networks.

RESULTS

Of 5193 articles screened, eight studies were identified as meeting inclusion criteria. Five studies indicated that social network support had a statistically significant effect on improved MOUD treatment outcomes. We find the strongest support for the positive impact of family social network support.

CONCLUSIONS

Social networks significantly shape effectiveness of opioid use disorder treatments. While negative social ties reinforce addiction, positive social support networks can amplify the benefits of medication treatments. Targeted interventions to improve treatment outcomes can be designed and added to MOUD treatment with their effects evaluated in improving patients' odds of recovery from opioid use disorder and reversing the rising trend in opioid deaths.