1. Association between educational level and smoking cessation in an 11-year follow-up study of a national health survey
- Author
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Otto Ruokolainen, Jouni Lahti, Ari Haukkala, Markku Heliövaara, Tommi Härkänen, Ossi Rahkonen, Social Policy, Center for Population, Health and Society, Social Psychology, Helsinki Inequality Initiative (INEQ), Research group of Ari Haukkala, and Department of Public Health
- Subjects
Adult ,Male ,medicine.medical_treatment ,Population ,030508 substance abuse ,tobacco use ,Logistic regression ,population based ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,medicine ,longitudinal studies ,Humans ,030212 general & internal medicine ,Pre-tertiary education ,education ,Depression (differential diagnoses) ,Aged ,education.field_of_study ,business.industry ,Smoking ,Public Health, Environmental and Occupational Health ,Regression analysis ,General Medicine ,health inequalities ,Health Surveys ,3142 Public health care science, environmental and occupational health ,3. Good health ,smoking cessation ,socio-economic position ,chemistry ,Sample size determination ,Smoking cessation ,Educational Status ,Female ,0305 other medical science ,Cotinine ,business ,Demography ,Follow-Up Studies - Abstract
Aims: There is a lack of longitudinal, population-based studies on the association between education and smoking cessation. A more thorough examination of this association is needed to address inequalities in smoking. Methods: The longitudinal Health 2000 Survey and Health 2011 Survey, representing the Finnish population aged ⩾30 years, were analysed. Of the 1352 baseline daily smokers, 945 (70%) provided a smoking status at the follow-up. The analytic sample size was 884 (excluding the follow-up occasional smokers). Self-reported questionnaire data and measurements (e.g. plasma cotinine) from the baseline were utilised. The outcome variable was smoking cessation at the follow-up, and the main explanatory variable was education. Logistic regression was the main method for statistical analyses. All of the analyses accounted for the sampling design. Results: At the follow-up, 28% of the baseline daily smokers had quit smoking. An adjusted regression model showed that highly educated respondents had a higher likelihood of quitting smoking compared with those with basic education. Controlling for demographic and health-related variables had a modest effect on this association. Higher scores for plasma cotinine, symptoms of depression and heavy alcohol use were associated with a lower likelihood of quitting smoking. The association between education and smoking cessation was weaker for women than it was for men. Conclusions: High education is associated with smoking cessation among the general adult population, especially among men. A higher plasma cotinine level is strongly associated with continued smoking among both sexes. Background variables only modestly affected the association between education and smoking cessation.
- Published
- 2021