Associations between Nicotine Dependence, Smartphone Usage Patterns, and Expected Compliance with a Smoking Cessation Application among Smokers
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Objectives: Smoking remains the leading cause of preventable disease. However, smokers have shown poor compliance with smoking cessation clinics. Smartphone applications present a promising opportunity to improve this compliance. This study aimed to explore the relationship between nicotine dependence, smartphone usage patterns, and anticipated compliance with a smoking cessation application among smokers, with the goal of informing future development of such applications. Methods: A total of 53 current smokers were surveyed using a questionnaire. Nicotine dependence was assessed using the Fagerstrom Test for Nicotine Dependence (FTND). Variables included the number of hours spent using a phone, willingness to quit smoking, number of previous quit attempts, desired number of text messages about smoking cessation, expected duration of application usage, and FTND scores. Kendall’s partial correlation, adjusted for age, was employed for the analysis. Results: The amount of time smokers spent on their mobile devices was negatively correlated with the number of smoking cessation text messages they wanted to receive (τ coefficient = –0.210, p = 0.026) and the duration they intended to use the cessation application (τ coefficient = –0.260, p = 0.006). Conversely, the number of desired text messages was positively correlated with the intended duration of application usage (τ coefficient = 0.366, p = 0.00012). Conclusions: Smokers who spent more time on their mobile devices tended to prefer using the cessation application for shorter periods, whereas those who desired more text messages about smoking cessation were more inclined to use the application for longer durations.
Abstract
Objectives: Smoking remains the leading cause of preventable disease. However, smokers have shown poor compliance with smoking cessation clinics. Smartphone applications present a promising opportunity to improve this compliance. This study aimed to explore the relationship between nicotine dependence, smartphone usage patterns, and anticipated compliance with a smoking cessation application among smokers, with the goal of informing future development of such applications. Methods: A total of 53 current smokers were surveyed using a questionnaire. Nicotine dependence was assessed using the Fagerstrom Test for Nicotine Dependence (FTND). Variables included the number of hours spent using a phone, willingness to quit smoking, number of previous quit attempts, desired number of text messages about smoking cessation, expected duration of application usage, and FTND scores. Kendall’s partial correlation, adjusted for age, was employed for the analysis. Results: The amount of time smokers spent on their mobile devices was negatively correlated with the number of smoking cessation text messages they wanted to receive (τ coefficient = –0.210, p = 0.026) and the duration they intended to use the cessation application (τ coefficient = –0.260, p = 0.006). Conversely, the number of desired text messages was positively correlated with the intended duration of application usage (τ coefficient = 0.366, p = 0.00012). Conclusions: Smokers who spent more time on their mobile devices tended to prefer using the cessation application for shorter periods, whereas those who desired more text messages about smoking cessation were more inclined to use the application for longer durations.
참고문헌 (30)
- "Current cigarette smoking among adults in the United States" (2023)[URL]
- "Smoking and tobacco" (2024)[URL]
- "WHO report on the global tobacco epidemic, 2017: monitoring tobacco use and prevention policies" (2017)[URL]
- "WHO global report on trends in prevalence of tobacco use 2000-2025, fourth edition" (2021)[URL]
- "Smoking cessation: a report of the surgeon general" (2020)[URL]
- Chean KY, "Barriers to smoking cessation : a qualitative study from the perspective of primary care in Malaysia", BMJ Open, 9(7), pp.e025491~ (2019)[DOI]
- Benowitz NL, "Nicotine addiction", N Engl J Med, 362(24), pp.2295~2303 (2010)[DOI]
- Rollema H, "Pharmacological profile of the alpha4beta2nicotinic acetylcholine receptor partial agonist varenicline, an effective smoking cessation aid", Neuropharmacology, 52(3), pp.985~994 (2007)[DOI]
- DiMatteo MR, "Variations in patients’ adherence to medical recommendations : a quantitative review of 50years of research", Med Care, 42(3), pp.200~209 (2004)[DOI]
- Iacoviello BM, "Clickotine, a personalized smartphone app for smoking cessation : initial evaluation", JMIR Mhealth Uhealth, 5(4), pp.e56~ (2017)
- Yu SH, "Short-term success rates of smoking cessation support programs and factors predicting smoking relapse : using data from a smoking cessation clinic in a hospital", Korean J Fam Med, 40(6), pp.373~379 (2019)[DOI]
- Oh SW, "The current status and challenges of national smoking cessation support program in Korea", Korean J Fam Med, 40(6), pp.351~352 (2019)[DOI]
- Rajani NB, "Engagement with gamification elements in a smoking cessation app and short-term smoking abstinence : quantitative assessment", JMIR Serious Games, 11, pp.e39975~ (2023)[DOI]
- Borrelli B, "Prevalence and Frequency of mHealth and eHealth Use Among US and UK Smokers and Differences by Motivation to Quit", J Med Internet Res, 17(7), pp.e164~ (2015)[DOI]
- "Treating Tobacco Use and Dependence: 2008 Update" (2008)[URL]
- Zeng EY, "Get with the program : adherence to a smartphone app for smoking cessation", Addict Behav, 63, pp.120~124 (2016)[DOI]
- Becker S, "User profiles of a smartphone application to support drug adherence : experiences from the iNephro project", PLoS One, 8(10), pp.e78547~ (2013)[DOI]
- Heatherton TF, "The Fagerström Test for Nicotine Dependence : a revision of the Fagerström Tolerance Questionnaire", Br J Addict, 86(9), pp.1119~1127 (1991)[DOI]
- Eum YH, "Factors related to the success of smoking cessation : a retrospective cohort study in Korea", Tob Induc Dis, 20, pp.15~ (2022)[DOI]
- Nazari E, "Developing a questionnaire for mobile phone usage pattern among university students using the Delphi method", Front Health Inf, 10(1), pp.52~ (2021)[DOI]
- Jafari A, "Design and evaluation of psychometric properties of cigarette smoking tendency questionnaire for female adolescents(CTQFA)", BMC Public Health, 21(1), pp.1746~ (2021)[DOI]
- Borland R, "The reliability and predictive validity of the Heaviness of Smoking Index and its two components : findings from the International Tobacco Control Four Country study", Nicotine Tob Res, 12(Suppl), pp.S45~S50 (2010)[DOI]
- Shankar D, "Text-messaging to promote smoking cessation among individuals with opioid use disorder : quantitative and qualitative evaluation", BMC Public Health, 22(1), pp.668~ (2022)[DOI]
- Cummings KM, "Circumstances surrounding relapse in a group of recent exsmokers", Prev Med, 14, pp.195~202 (1985)[DOI]
- Timilsina JK, "Nicotine dependence and quitting stages of smokers in Nepal : a community based cross-sectional study", PLoS One, 17(4), pp.e0266661~ (2022)[DOI]
- Kim SJ, "The impact of smoking cessation attempts on stress levels", BMC Public Health, 19(1), pp.267~ (2019)[DOI]
- Spears CA, "Text messaging to enhance mindfulness-based smoking cessation treatment : program development through qualitative research", JMIR Mhealth Uhealth, 7(1), pp.e11246~ (2019)
- Umberson D, "Social relationships and health behavior across life course", Annu Rev Sociol, 36, pp.139~157 (2010)[DOI]
- Lee DG, "Validation of the Korean version of the Locus of Evaluation Inventory", Korean J Counsel Psychother, 20(1), pp.65~82 (2008)
- Shoukat S, "Cell phone addiction and psychological and physiological health in adolescents", EXCLI J, 18, pp.47~50 (2019)