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Simulating drinking in social networks to inform alcohol prevention and treatment efforts.

ABSTRACT: Adolescent drinking influences, and is influenced by, peer alcohol use. Several efficacious adolescent alcohol interventions include elements aimed at reducing susceptibility to peer influence. Modeling these interventions within dynamically changing social networks may improve our understanding of how such interventions work and for whom they work best. We used stochastic actor-based models to simulate longitudinal drinking and friendship formation within social networks using parameters obtained from a meta-analysis of real-world 10th grade adolescent social networks. Levels of social influence (i.e., friends affecting changes in one's drinking) and social selection (i.e., drinking affecting changes in one's friendships) were manipulated at several levels, which directly impacted the degree of clustering in friendships based on similarity in drinking behavior. Midway through each simulation, one randomly selected heavy-drinking actor from each network received an "intervention" that either (a) reduced their susceptibility to social influence, (b) reduced their susceptibility to social selection, (c) eliminated a friendship with a heavy drinker, or (d) initiated a friendship with a nondrinker. Only the intervention that eliminated targeted actors' susceptibility to social influence consistently reduced that actor's drinking. Moreover, this was only effective in networks with social influence and social selection that were at higher levels than what was found in the real-world reference study. Social influence and social selection are dynamic processes that can lead to complex systems that may moderate the effectiveness of network-based interventions. Interventions that reduce susceptibility to social influence may be most effective among adolescents with high susceptibility to social influence and heavier-drinking friends. (PsycINFO Database Record

SUBMITTER: Hallgren KA

PROVIDER: S-EPMC5690806 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Simulating drinking in social networks to inform alcohol prevention and treatment efforts.

Hallgren Kevin A KA McCrady Barbara S BS Caudell Thomas P TP Witkiewitz Katie K Tonigan J Scott JS

Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors 20170918 7

Adolescent drinking influences, and is influenced by, peer alcohol use. Several efficacious adolescent alcohol interventions include elements aimed at reducing susceptibility to peer influence. Modeling these interventions within dynamically changing social networks may improve our understanding of how such interventions work and for whom they work best. We used stochastic actor-based models to simulate longitudinal drinking and friendship formation within social networks using parameters obtain ...[more]

PMID: 28921997

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Project description:Note: Data Use Restrictions: <ul> <li>The data must only be used for genetic research projects solely in the area of health-related social-network research.</li> </ul> This study compiles detailed information on family and social ties linked to participants in the offspring cohort of the Framingham Heart Study. The investigators took computerized information from self-report data used by the FHS for over 30 years to facilitate health exam scheduling. These tracking sheets asked participants to identify people close to them, which were assumed by the investigators to indicate a social tie. Individuals are listed as "egos" (if the ties are from their perspective) and/or "alters" (if they are linked as a friend or family members to one of the other participants). All egos were FHS offspring participants while alters could be FHS participants in any cohort or non-participants. This information was combined with internal FHS pedigree data on family ties to list family member alters (as well as the nature of their relationship). The resultant dataset therefore includes each ego-alter tie, the nature of their relationship and the start and end dates for their ties for each of seven waves for the offspring study. Due to privacy concerns, all exam dates for individuals are listed relative to the initial FHS exam date. The study investigators chose a random, confidential date, to which all initial exam dates are linked (by number of months from random date to initial exam date). With this information, researchers can have access to the temporal relationships among participants' exam dates while remaining unaware of the actual exam dates for individual participants. During each clinic exam cycle, the participants undergo a detailed examination including physical examination, medical history, laboratory testing, and electrocardiogram. Over the years, other tests (that may not be performed at every exam cycle) have included pulmonary function, lifestyle, physical function, cognitive function questionnaires, and various noninvasive cardiovascular tests including echocardiograms. This study involves phenotypic data from these exams including (when available) basic body measurements (height, weight, blood pressure), laboratory values (blood sugar levels, LDL levels), information on smoking and alcohol use, and tests of depression and cognitive functioning. Important links to apply for individual-level data <ol> <li><a href="http://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?view_pdf&stacc=phs000153.v3.p3" target="_blank">Data Use Certification Requirements (DUC)</a></li> <li><a href="GetPdf.cgi?id=phd001183.1" target="_blank">Instructions to Request Authorized Access</a></li> <li><a href="http://view.ncbi.nlm.nih.gov/dbgap-controlled" target="_blank">Apply here for controlled access to individual level data</a></li> <li><a href="GetPdf.cgi?id=phd000317" target="_blank">Participant Protection Policy FAQ</a></li> </ol> In 1948, researchers recruited men and women from the town of Framingham, Massachusetts, beginning the first round of extensive physical examinations and lifestyle interviews that would later be analyzed for common patterns related to CVD development. Initially, the Framingham Heart Study enrolled 5,209 men and women from the Framingham area who were between the ages of 28 and 62 years. Beginning in 1971, the Framingham Heart Study enrolled 5,124 men and women, who were either offspring of the original cohort or spouses of those offspring. In 2002, 4,095 third generation participants (men and women) were enrolled.

Project description:OBJECTIVE:While transgender people report higher rates of risky drinking than the general population, no studies have examined transgender alcohol use longitudinally. This study investigated minority stress and identity development predictors of improvement in risky drinking among transgender individuals. METHODS:Data come from a multi-site, longitudinal cohort study of U.S. transgender individuals (N?=?330) and include measures of enacted stigma, felt stigma, identity development, and risky alcohol use. Theory-driven, hierarchical multivariable logistic regression was used to investigate the hypothesis that minority stress and identity development factors are related to improvement in risky drinking between baseline and 1-year follow-up. RESULTS:Baseline risky drinkers (n?=?106; 37.1%) were younger and more likely to have female sex assigned at birth. At 1-year follow-up, 68 baseline risky drinkers (64.2%) reported persistent risky drinking, while 38 (35.8%) reported improved drinking. Controlling for demographics and study site, female sex assigned at birth and enacted stigma were associated with lower odds of improved drinking. Non-white/Hispanic race/ethnicity, felt stigma, change in gender role/expression for 1-5?years, and diffuse-avoidant identity style were associated with higher odds of improvement. CONCLUSIONS/IMPORTANCE:This is the first study to identity predictors of improvement in risky drinking among transgender individuals. Compared to trans-feminine individuals (assigned male at birth), trans-masculine individuals (assigned female at birth) were more likely to report risky drinking at baseline and had lower odds of improvement at 1-year follow-up. Improved drinking may be facilitated by preventing anti-transgender discrimination. Felt stigma and diffuse-avoidant identity style may lower alcohol risk via avoidance of drinking venues. Further research is needed to explicate these relationships and to inform culturally-tailored alcohol interventions for this at-risk population.

Dataset Information

Simulating drinking in social networks to inform alcohol prevention and treatment efforts.

Publications

Simulating drinking in social networks to inform alcohol prevention and treatment efforts.

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