Tailoring Tobacco Control: CHAID Decision-Tree Profiles of Ever Quit Attempts Among Current Smokers
SUBSTANCE USE & MISUSE, 2026 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1080/10826084.2026.2708119
- Dergi Adı: SUBSTANCE USE & MISUSE
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, IBZ Online, CINAHL, Criminal Justice Abstracts, Educational research abstracts (ERA), EMBASE, MEDLINE, Psycinfo, Public Affairs Index, SportDiscus, Criminal Justice Periodical Index, Academic Search Ultimate (EBSCO), Social Science Premium Collection (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Criminology Collection (ProQuest), Health Research Premium Collection (ProQuest), Psychology & Behavioral Sciences Collection (EBSCO)
- İstanbul Üniversitesi Adresli: Evet
Özet
Objectives Self-reported lifetime quit-attempt history among current smokers may differ across groups defined by psychosocial, economic, motivational, and perceptual characteristics. We aimed to identify cross-sectional profiles associated with ever having made a quit attempt among current smokers and to demonstrate the use of CHAID for transparent exploratory segmentation.Methods We secondarily analyzed a 2024 interviewer-administered survey of 1,018 current smokers drawn from a sex-stratified non-probability household sample in three Turkish metropolitan areas. Chi-squared Automatic Interaction Detection (CHAID) was applied to measures of sociodemographics, nicotine dependence, motivation, perceived consequences, financial burden, beliefs, and cessation methods; terminal nodes reported quit-attempt prevalence, gain, and index.Results Overall, 41.0% had made at least one quit attempt. The CHAID model revealed interpretable exploratory profiles. The highest quit-attempt prevalence appeared among smokers with strong quit motivation and strong financial burden (Node 21 = 89.9%; Gain 19.2%). The largest share of quit attempts clustered among smokers who recognized the need to quit yet endorsed perceived cognitive benefits of smoking (Node 11 = 70.0%; Gain 43.2%), indicating a prominent "motivated cognitive-benefit belief" pattern. Additional subgroups included those who had used herbal remedies (Node 13 = 76.5%) and those with high motivation but low perceived financial burden (Node 20 = 60.9%).Conclusions Quit attempts clustered around motivation, perceived financial burden, and co-occurring smoking-related misperceptions. Interpretable decision-tree segmentation may help identify candidate domains for future research on better-aligned brief advice and linkage to evidence-based cessation support, including cost-salient messaging and targeted myth correction.