Hamadan University of Medical Sciences Journal of Research in Health Sciences 2228-7795 26 1 2026 01 01 Factors Associated with Smoking Cessation in Underdeveloped Areas of Indonesia e00671 e00671 10.34172/jrhs.11518 EN Muhamad Arif Musoddaq https://orcid.org/0000-0002-8915-107X Dwi Hapsari Tjandrarini https://orcid.org/0000-0001-8313-4722 Felly Philipus Senewe https://orcid.org/0000-0002-5765-7172 Alfons Maryono Letelay https://orcid.org/0000-0001-6773-5026 Hadi Ashar https://orcid.org/0000-0001-8123-5925 Budi Setyawati https://orcid.org/0009-0000-2966-1863 Ning Sulistiyowati https://orcid.org/0009-0004-7631-699X Maxwell Landri Vers Malakauseya https://orcid.org/0000-0003-1388-6798 Christiana Rialine Titaley https://orcid.org/0000-0002-3023-003X Journal Article 10.34172/jrhs.11518 2025 07 29 2025 09 12 Background: Indonesia has one of the highest smoking rates globally. Smoking cessation is critical for reducing smoking-related diseases, particularly in areas with limited healthcare access. This study explored factors associated with smoking cessation in underdeveloped areas of Indonesia. Study Design: This study was conducted using a cross-sectional design. Methods: Data were obtained from the 2018 Indonesia Basic Health Research survey. We used information from 16,989 ever-smokers aged 10 years or older living in underdeveloped areas of Indonesia. Binary logistic regression analyses were performed to identify factors associated with smoking cessation. Results: Overall, 8.1% of ever-smokers in underdeveloped areas of Indonesia had stopped smoking cigarettes at the time of the survey. Increased odds of smoking cessation were were observed among respondents living in urban areas (aOR=1.50, 95% CI: 1.13-2.00), females (aOR=2.59, 95% CI: 1.85-3.62), aged over 45 years (aOR=2.60, 95% CI: 2.13-3.17), the unemployed or students (aOR=1.60, 95% CI: 1.24-2.01), and heads of households (aOR=1.84, 95% CI: 1.45-2.32). Non-daily smokers (aOR=6.84, 95% CI: 5.68-8.24) and those who started smoking before age 18 (aOR=1.34, 95% CI: 1.10-1.62) were more likely to have quit smoking. Conclusion: Public health interventions should focus on supporting younger populations, informal workers, and daily smokers in rural areas to improve cessation rates.