ArticleScientific reports2020
Lifelong smoking trajectories of Northern Finns are characterized by sociodemographic and lifestyle differences in a 46-year follow-up.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- The trajectory of smoking cessation after treatment and its related factors in Taiwan.Scientific reports · 2024Article
- Productivity costs of lifelong smoking-the Northern Finland Birth Cohort 1966 study.European journal of public health · 2024Article
- Healthy lifestyle change and all-cause and cancer mortality in the European Prospective Investigation into Cancer and Nutrition cohort.BMC medicine · 2024Article
- Characterization of trajectories of physical activity and cigarette smoking from early adolescence to adulthood.BMC public health · 2023Article
- The role of social support and self-control in tobacco consumption: a cross-sectional study among tobacco consumers and non-consumers.BMC psychology · 2023Article
- Men's Smoking Trajectories and Health-Related Quality of Life in the Whole Family: Tehran Lipid and Glucose Study.Iranian journal of public health · 2023Article
- Mortality risk according to smoking trajectories after cancer diagnosis among Korean male cancer survivors: A population-based cohort study.Tobacco induced diseases · 2023Article
- Chronotypes and disabling musculoskeletal pain: A Finnish birth cohort study.European journal of pain (London, England) · 2022Article
- Improving and maintaining healthy lifestyles are associated with a lower risk of diabetes: A large cohort study.Journal of diabetes investigation · 2022Article
- Healthy lifestyle over the life course: Population trends and individual changes over 30 years of the Doetinchem Cohort Study.Frontiers in public health · 2022Article
- Differential trajectories of tobacco smoking in people at ultra-high risk for psychosis: Associations with clinical outcomes.Frontiers in psychiatry · 2022Article
- Modeling the Multidimensional Predictors of Multisite Musculoskeletal Pain Across Adulthood-A Generalized Estimating Equations Approach.Frontiers in public health · 2021Article
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Abstract
Smoking remains among the leading causes of mortality worldwide. Obtaining a comprehensive understanding of a population's smoking behaviour is essential for tobacco control. Here, we aim to characterize lifelong smoking patterns and explore underlying sociodemographic and lifestyle factors in a population-based birth cohort population followed up for 46 years. Our analysis is based on 5797 individuals from the Northern Finland Birth Cohort 1966 who self-reported their tobacco smoking behaviour at the ages of 14, 31 and 46. Data on sex, education, employment, body mass index, physical activity, alcohol consumption, and substance addiction were also collected at the follow-ups. We profile each individual's annual smoking history from the age of 5 to 47, and conduct a latent class trajectory analysis on the data. We then characterize the identified smoking trajectory classes in terms of the background variables, and compare the heaviest smokers with other classes in order to reveal specific predictors of non-smoking and discontinued smoking. Six smoking trajectories are identified in our sample: never-smokers (class size 41.0%), youth smokers (12.6%), young adult quitters (10.8%), late adult quitters (10.5%), late starters (4.3%), and lifetime smokers (20.7%). Smoking is generally associated with male sex, lower socioeconomic status and unhealthier lifestyle. Multivariable between-class comparisons identify unemployment (odds ratio [OR] 1.28-1.45) and physical inactivity (OR 1.20-1.52) as significant predictors of lifetime smoking relative to any other class. Female sex increases the odds of never-smoking and youth smoking (OR 1.29-1.33), and male sex increases the odds of adult quitting (OR 1.30-1.41), relative to lifetime smoking. We expect future initiatives to benefit from our data by exploiting the identified predictors as direct targets of intervention, or as a means of identifying individuals who may benefit from such interventions.
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