ArticleBMJ open2018
Towards a demographic risk profile for sedentary behaviours in middle-aged British adults: a cross-sectional population study.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Social factors, wearable activity tracker use frequency, and physical activity patterns among U.S. older adults: findings from a national cross-sectional survey.BMC geriatrics · 2026Article
- How do People Spend their Day? Sociodemographic Disparities in 24-hour Movement Guideline Adherence among US Adults Using 2017-2020 NHANES Data.Journal of racial and ethnic health disparities · 2024Article
- Associations between Sedentary Duration and Cognitive Function in Older Adults: A Longitudinal Study with 2-Year Follow-Up.The journal of nutrition, health & aging · 2023Article
- Leisure-time sedentary behaviors are differentially associated with all-cause dementia regardless of engagement in physical activity.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Status of Sedentary Time and Physical Activity of Rural Residents: A Cross-Sectional Population-Based Study in Eastern China.Frontiers in public health · 2022Observational
- Rest-activity rhythms in emerging adults: implications for cardiometabolic health.Chronobiology international · 2021Observational
- The association between recreational screen time and cancer risk: findings from the UK Biobank, a large prospective cohort study.The international journal of behavioral nutrition and physical activity · 2020Article
- Gender and education differences in sedentary behaviour in Canada: an analysis of national cross-sectional surveys.BMC public health · 2020Article
- Correlates of physical activity behavior in adults: a data mining approach.The international journal of behavioral nutrition and physical activity · 2020Article
- Association of physical activity, sedentary time, and sleep duration on the health-related quality of life of college students in Northeast China.Health and quality of life outcomes · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectivesIn response to a call from the American Heart Association to more clearly identify the demographic factors associated with sedentary behaviours, this study aimed to identify the hierarchy of demographic characteristics associated with the sedentary behaviours of television viewing, recreational computer use and driving.
designCross-sectional analysis of baseline data collected as part of the UK Biobank. The UK Biobank is a population cohort recruited from 22 centres across the UK. Participants aged between 37 and 73 years were recruited between 2006 and 2010.
methodsDecision tree models were generated for the sedentary behaviour outcomes of hours/day spent television viewing, recreational computer use and all driving; a sum of time spent in these sedentary behaviours ('overall') was computed. Age, sex, race, college attendance, employment, shift-work, urban versus rural residence as well as physical activity were considered as predictors.
resultsThe analytic sample comprised 415 666 adults who were mostly female (54.2%), white (95.2%), non-college attendee (64.5%), employed (61.7%), lived in an urban centre (85.5%), with a mean age of 56.6 (SD=8.1) years. Television viewing was most common sedentary behaviour (2.7 hour/day vs 1.1 for recreational computer use and 1.0 for all driving). Males (tier 1), who did not attend college (tier 2) were the highest risk group for overall sedentary time. Adults with no college attendance (tier 1) and were retired (tier 2) were the most high-risk demographic group for television viewing. College attendees (tier 1) were highest risk for recreational computer use. Adults who were employed (tier 1), male (tier 2) and did not attend college (tier 3) were most at risk for driving
conclusionsDaily time spent in different sedentary behaviours varies by sex, employment status and college attendance status. The development of targeted interventions to reduce sedentary behaviour in different demographic subgroups is needed.
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