ArticleDrug and alcohol dependence2016
Repeated measures latent class analysis of daily smoking in three smoking cessation studies.
Article in Drug and alcohol dependence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions.Statistics in biosciences · 2024Article
- Women's Configurations of Family, Work, and Education: Mapping Diverse Pathways Throughout Adulthood.Social currents · 2024Article
- High-dose benzodiazepine use and QTc interval prolongation, a latent class analysis study.Scientific reports · 2024Article
- Longitudinal latent polysubstance use patterns among a cohort of people who use opioids in Vancouver, Canada.Drug and alcohol review · 2023Article
- Polysubstance Use Patterns Among High Dose Benzodiazepine Users: A Latent Class Analysis and Differences Between Male and Female Use.Frontiers in psychiatry · 2022Article
- A BAYESIAN TIME-VARYING EFFECT MODEL FOR BEHAVIORAL MHEALTH DATA.The annals of applied statistics · 2020Article
- Trend in the Prevalence of Non-Daily Smoking and Their Relationship with Mental Health Using the Korea Health and Nutrition Examination Survey.International journal of environmental research and public health · 2020Article
- Understanding quit patterns from a randomized clinical trial: Latent classes, predictors, and long-term abstinence.Addictive behaviors · 2019Article
- Associations Between Timing of Meals, Physical Activity, Light Exposure, and Sleep With Body Mass Index in Free-Living Adults.Journal of physical activity & health · 2019Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundPerson-centered approaches to the study of behavior change, such as repeated measures latent class analysis (RMLCA), can be used to identify patterns of change and link these to later behavior change outcomes.
methodsDaily smoking status data from three smoking cessation studies (N=287, N=334, and N=403) were submitted to RMLCA to identify latent classes of smokers based on patterns of abstinence across the first 27days of a quit attempt. Three-month biochemically verified abstinence rates were compared among latent classes with particular patterns of smoking across days. Pharmacotherapy variables and baseline individual differences were added as covariates of latent class membership.
resultsResults of separate and pooled analyses supported a five-class solution that replicated across studies. Latent classes included a large class that achieved immediate stable abstinence, a smaller class of cessation failures, and three classes with partial abstinence that increased, decreased, or remained stable over time. Three-month point-prevalence abstinence rates varied among the latent classes, with 38-55% abstinent among early quitters, 3-20% abstinent among those who smoked intermittently throughout the first 27days, and fewer than 5% abstinent in the classes marked by little or delayed change in smoking. High-dose nicotine patch and bupropion promoted membership in abstinent classes. Demographics, nicotine dependence, and craving were related to latent class in multiple studies and pooled analyses.
conclusionsWe identified five patterns of smoking behavior in the first weeks of a smoking cessation attempt. These patterns are robust across multiple studies and are related to later point-prevalence abstinence rates.
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