ArticleHealthcare (Basel, Switzerland)2026
Identifying Subgroups Among Current Smokers Enrolled in the Smoking Cessation Clinic Program: A Latent Class Analysis Approach.
Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundSmoking cessation outcomes vary widely across individuals, yet clinic-based services often rely on uniform intervention strategies. Understanding heterogeneity in smoking behaviors, co-occurring health behaviors, and cessation-related psychological profiles may help refine community-based cessation services. This study aimed to identify distinct subgroups of smokers enrolled in public health center-based smoking cessation clinics and to examine differences in cessation outcomes and related characteristics across subgroups.
methodsData from 21,105 newly enrolled adults attending 16 public health center-based smoking cessation clinics in C Province were drawn from the Smoking Cessation Service Integrated Information System of the National Tobacco Control Center. Latent class analysis was conducted using five indicators: time to first cigarette, cigarettes per day, prior quit attempts, alcohol use, and physical activity. Associations between latent class membership, covariates, and distal outcomes were examined using a three-step approach.
resultsFour distinct latent classes were identified:
conclusionThese findings highlight the value of person-centered profiling for informing more precise, context-sensitive cessation strategies and support the integration of behavioral and environmental considerations into community-based tobacco control programs.
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