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Purpose: The long‐term effects of sociodemographic and health characteristics on television viewing (TV) time changes have not been identified in adulthood. We aimed to examine the modifiable and non‐modifiable determinants of changes in TV‐time in young adults over 10 years.Methods: Participants (N = 2929) aged 24‐39 years were recruited between 2001 and 2011 from the Cardiovascular Risk in Young Finns Study. Data were collected using questionnaires and a medical examination. The determinants of changes in TV‐time were estimated using latent growth modeling for men and women separately.Results: For men, inverse associations with initial levels of TV‐time were observed for students becoming employed and already has children, and direct associations were observed for both those who stayed a smoker and those who stayed overweight/obese. Increasing attention to health habits was inversely associated with a slope of TV‐time, whereas age and becoming unemployed were positively associated with the slope of TV‐time. For women, inverse associations with the levels of TV‐time were found for age, staying in non‐manual work, and paying consistently high and increasing attention to health habits, and direct associations were found for staying unemployed, smoking and overweight/obese, and becoming employed, single and non‐smoking. Increasing physical activity, becoming employed, motherhood, and normal weight were inversely associated with the slope of TV‐time, whereas age and staying in non‐manual work were positively associated with the slope of TV‐time.Conclusions: This suggests several gender‐specific determinants of changes in TV‐time that can help identify potential targets for interventions to prevent excessive TV‐time in adulthood. peerReviewed

Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N = 3596; 1764 boys/1832 girls, age 3-18 years) has been followed up for 31 years. PA indices were formed based on self-reported data (between age 9-49 years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/competitions. PA trajectories were analyzed using group-based trajectory modeling. Childhood (age 12 years), young adulthood (age 24 years), and early midlife (age 37 years) determinants were analyzed. Five PA trajectories were identified: persistently active (6.6%), decreasingly active (13.9%), increasingly active (13.5%), persistently low active (51.4%, reference group), persistently inactive (14.6%). In childhood, rural residential area (OR 0.45, 95% CI 0.21-0.96) and high academic performance (OR 2.18; 95% CI 1.58-3.00) associated with persistently active group. In early midlife, smoking (OR 1.66; 95% CI 1.07-2.58) associated with persistently inactive group, regular alcohol drinking (OR 2.91; 95% CI 1.12-7.55) with persistently active group and having children (OR 2.07; 95% CI 1.27-3.38) with decreasingly active group. High adulthood education associated with both decreasingly (OR 1.87; 95% CI 1.05-3.35) and increasingly (OR 2.09; 95% CI 1.19-3.68) active groups. We identified five PA trajectories from childhood into midlife. Most prominent determinants were academic achievement, education, having children and health habits (i.e. smoking/alcohol use). peerReviewed