ArticleSubstance abuse : research and treatment2020
Testing a Socioecological Model of Relapse and Recovery from Alcohol Problems.
Article in Substance abuse : research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characteristics of alcohol recovery narratives: Systematic review and narrative synthesis.PloS one · 2022Pooled it
- Engagement in alcohol-free activities, community-level economic disadvantage, and heavy drinking following alcohol treatment.Journal of the experimental analysis of behavior · 2026Trial
- Beyond the high: exploring socioecological influences on cannabis use in older women with and without HIV.The Gerontologist · 2025Article
- Reward deprivation is associated with elevated alcohol demand in emerging adults.Journal of the experimental analysis of behavior · 2025Article
- Whole Person Recovery from Substance Use Disorder: A Call for Research Examining a Dynamic Behavioral Ecological Model of Contexts Supportive of Recovery.Addiction research & theory · 2025Article
- Exploring predictors of substance use disorder treatment engagement with machine learning: The impact of social determinants of health in the therapeutic landscape.Journal of substance use and addiction treatment · 2024Article
- Review
- Longitudinal Associations between Homelessness and Substance Use: Investigating Demographic Differences for Young Adults in Treatment.Substance use & misuse · 2024Article
- Article
- Factors Associated with Relapses in Alcohol and Substance Use Disorder.The Eurasian journal of medicine · 2023Article
- Mapping COVID vulnerability in relation to drug and alcohol recovery residence availability across the United States.BMC public health · 2023Article
- Multilevel Effects of Environmental and Neighborhood Factors on Sober Living House Resident 12-Month Outcomes.Journal of studies on alcohol and drugs · 2023Article
- The role of mindfulness, meditation, and peer support in recovery capital among Recovery Dharma members.Journal of substance use and addiction treatment · 2023Article
- Do neighborhood characteristics of sober living houses impact recovery outcomes? A multilevel analysis of observational data from Los Angeles County.Health & place · 2023Article
- Vaccine confidence among people who use drugs: A cross-sectional survey.Human vaccines & immunotherapeutics · 2022Article
- Substance use disorders and social determinants of health from electronic medical records obtained during Kentucky's "triple wave".Pharmacology, biochemistry, and behavior · 2022Article
- Identifying the availability of recovery housing in the U.S.: The NSTARR project.Drug and alcohol dependence · 2022Article
- Grounding alcohol simulation models in empirical and theoretical alcohol research: a model for a Northern Plains population in the United States.System dynamics reviewArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
This study tests a socioecological model of relapse and recovery using latent class growth mixture modeling to identify neighborhood, social network and individual-level predictors of alcohol dependence trajectories among a large, longitudinal sample of problem drinkers recruited from substance use treatment settings. We identified four distinct alcohol dependence trajectories: Stable Recovery/Low (Class 1); Relapsing/Rising (Class 2); Late Recovery/Declining (Class 3); and Chronic/High (Class 4). Neighborhood context (poverty and density of bars), social network characteristics (less involvement with Alcoholics Anonymous [AA], continued affiliation with heavy drinkers), and individual predisposing (psychiatric severity) and need (returning to treatment) characteristics each distinguished individuals in the Relapsing/Rising class from individuals in the Stable Recovery/Low class. Social network characteristics (AA involvement and continued affiliation with heavy drinkers) were the primary distinguishing factors for individuals in the Chronic/High class compared to the Late Recovery/Declining class. Study findings can be used to promote recovery and help prevent relapse by: guiding development of community-level interventions to improve social and physical environments; identifying potentially modifiable factors (social network support for sobriety, participation in self-help) to reduce negative consequences among problem drinkers who remain in high-risk neighborhoods; and contributing to ongoing discussions about new and continued licensing of alcohol outlets and regulation of alcohol sales to prevent alcohol problems in high-risk areas and among high-risk people.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.