1.Factors that Predict Smoking Cessation among Older Koreans: Based on the Korea National Health and Nutrition Examination Survey 2016–2018
Han Kyul LIM ; Yong Soon PARK ; Jeong Hyeon KIM ; Jeong Hyun KIM
Korean Journal of Family Medicine 2021;42(5):363-368
Background:
Tobacco smoking is associated with several diseases and deaths in older Koreans. This study aimed to evaluate the factors associated with smoking cessation in older Koreans.
Methods:
We selected 579 subjects who started smoking before the age of 65 years from the Korea National Health and Nutrition Examination Survey 2016–2018. We excluded the subjects who quit smoking before the age of 65 years, and then categorized the rest of subjects into those who stopped smoking after the age of 65 years and those who are constant smokers. Multivariable logistic analysis was performed to evaluate the factors related to smoking cessation among older Koreans.
Results:
Among the participants, 66.1% were persistent smokers. After multivariable analysis, the factors significantly associated with smoking cessation were as follows: being in the age group of 75–79 years (adjusted odds ratio [aOR], 4.07; 95% confidence interval [CI], 2.12–7.83), being in the age group of 70–74 years (aOR, 3.10; 95% CI, 1.72–5.61), a family history of ischemic heart disease (aOR, 3.36; 95% CI, 1.09–10.35), and having had no cancer screening (aOR, 0.36; 95% CI, 0.18–0.70).
Conclusion
Further efforts to identify the factors related to smoking cessation will help formulate a smoking cessation policy.
2.Factors Associated with Persistent Smoking in Diabetic Patients: The Seventh Korea National Health and Nutrition Examination Survey
Jeong Hyun KIM ; Yong Soon PARK ; Jeong Hyeon KIM ; Han Kyul LIM
Korean Journal of Family Practice 2020;10(5):386-392
Background:
Smoking increases total mortality and the risk of complications in patients with diabetes; however, smokers tend to smoke persistently even after the diagnosis of diabetes mellitus. The purpose of this study was to analyze risk factors predicting persistent smoking in Korean adults with diabetes.
Methods:
This study included 265 persistent-smokers and 146 quit-smokers among the participants with diabetes from the seventh Korea National Health and Nutrition Examination Survey. The subjects were smokers at the time of diagnosis of diabetes and were categorized into two groups according to the change in smoking status between the time of diabetes diagnosis and survey. Factors associated with persistent smoking were evaluated using multiple logistic regression analysis.
Results:
The prevalence of persistent-smokers with diabetes in this study was 65.3%. After adjusting for covariates, persistent smoking in Korean adults with diabetes was significantly associated with a history of cancer (adjusted odds ratio [aOR], 0.322; 95% confidence interval [CI], 0.116–0.889), strength exercise (aOR, 2.753; 95% CI, 1.361–5.566), stress (aOR, 2.036; 95% CI, 1.046–3.950), non-medical treatment for diabetes (aOR, 6.814; 95% CI, 1.661–27.957), and duration of diabetes (aOR, 0.952; 95% CI, 0.919–0.987).
Conclusion
Identifying the risk factors related to persistent smoking among Korean adults with diabetes can help in developing effective smoking cessation strategies.
3.Factors that Predict Smoking Cessation among Older Koreans: Based on the Korea National Health and Nutrition Examination Survey 2016–2018
Han Kyul LIM ; Yong Soon PARK ; Jeong Hyeon KIM ; Jeong Hyun KIM
Korean Journal of Family Medicine 2021;42(5):363-368
Background:
Tobacco smoking is associated with several diseases and deaths in older Koreans. This study aimed to evaluate the factors associated with smoking cessation in older Koreans.
Methods:
We selected 579 subjects who started smoking before the age of 65 years from the Korea National Health and Nutrition Examination Survey 2016–2018. We excluded the subjects who quit smoking before the age of 65 years, and then categorized the rest of subjects into those who stopped smoking after the age of 65 years and those who are constant smokers. Multivariable logistic analysis was performed to evaluate the factors related to smoking cessation among older Koreans.
Results:
Among the participants, 66.1% were persistent smokers. After multivariable analysis, the factors significantly associated with smoking cessation were as follows: being in the age group of 75–79 years (adjusted odds ratio [aOR], 4.07; 95% confidence interval [CI], 2.12–7.83), being in the age group of 70–74 years (aOR, 3.10; 95% CI, 1.72–5.61), a family history of ischemic heart disease (aOR, 3.36; 95% CI, 1.09–10.35), and having had no cancer screening (aOR, 0.36; 95% CI, 0.18–0.70).
Conclusion
Further efforts to identify the factors related to smoking cessation will help formulate a smoking cessation policy.