ArticleScientific reports2019
Gender, age and socioeconomic variation in 24-hour physical activity by wrist-worn accelerometers: the FinHealth 2017 Survey.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Cleaning and pre-processing of actigraphy data for physical activity and sleep research: a scoping review.Physiological measurement · 2026Article
- Physical activity monitoring using wearable devices based on machine learning algorithms.Frontiers in sports and active living · 2026Article
- Couple synchrony in physical activity: effects on individuals with knee osteoarthritis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- Device-based measurement of physical activity and sedentary behaviour after critical illness: A scoping review.PloS one · 2025Article
- Morning physical activity may be more beneficial for blood lipids than afternoon physical activity in older adults: a cross-sectional study.European journal of applied physiology · 2024Article
- The lifestyle of new middle-aged and older adults in Taiwan described by wearable device: age and gender differences.European journal of ageing · 2024Article
- Device-measured physical activity and sedentary time in the Nordic countries: A scoping review of population-based studies.Journal of sport and health science · 2024Article
- Sociodemographic Factors Related to Perceived Physical Activity on Chilean Adults after COVID-19 Pandemic.Sports (Basel, Switzerland) · 2024Article
- Socioeconomic gradients in 24-hour movement patterns across weekends and weekdays in a working-age sample: evidence from the 1970 British Cohort Study.Journal of epidemiology and community health · 2024Article
- Daily Activity Lifelogs of People With Heart Failure: Observational Study.JMIR formative research · 2024Article
- The middle-aged and older Chinese adults' health using actigraphy in Taiwan (MOCHA-T): protocol for a multidimensional dataset of health and lifestyle.BMC public health · 2024Article
- Identifying Multicomponent Patterns and Correlates of Accelerometry-Assessed Physical Behaviors Among Postmenopausal Women: The Women's Health Accelerometry Collaboration.Journal for the measurement of physical behaviour · 2024Article
- Defining and reporting activity patterns: a modified Delphi study.The international journal of behavioral nutrition and physical activity · 2023Article
- Wearable-based accelerometer activity profile as digital biomarker of inflammation, biological age, and mortality using hierarchical clustering analysis in NHANES 2011-2014.Scientific reports · 2023Article
- Physical activity: associations with health and summary of guidelines.Food & nutrition research · 2023Review
- Causes and characteristics of unexpected sudden cardiac death in octogenarians/nonagenarians.PloS one · 2023Article
- Short-term effect of physical activity on sleep health: A population-based study using accelerometry.Journal of sport and health science · 2022Article
- Differences in physical activity between weekdays and weekend days among U.S. children and adults: Cross-sectional analysis of NHANES 2011-2014 data.Preventive medicine reports · 2022Article
- Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis.The international journal of behavioral nutrition and physical activity · 2022Article
- Assessment of Physical Activity in Adults Using Wrist Accelerometers.Epidemiologic reviews · 2022Review
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7 authors.
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Abstract
Assessing movement over 24 hours increases our understanding of the total physical activity level and its patterns. In the FinHealth 2017 Survey, a population-based health examination study, 940 participants between 25 and 93 years were instructed to wear an accelerometer (Actigraph GT9X Link) on their non-dominant wrist for 24 hours on 7 consecutive days. Physical activity information was extracted from 100-Hz triaxial 60-second epoch data as average vector magnitude counts per minute (VM cpm). Results were analyzed by gender, 10-year age-groups, employment status, and education. Hourly means were plotted and compared. Analyses included 915 participants (44% men) who wore the device at least 10 hours on 4 or more days, with mean wear time being 149.5 hours (standard deviation of 615.2 minutes).Women had higher average VM cpm than men (p < 0.001), with significant gender differences in all age-groups until 65 years and older. Total physical activity was lower with age, unemployment, and retirement, where the hourly patterns mirrored the findings. Our findings agree with previous large-scale wrist-accelerometry data, but extend current knowledge by providing data on gender and socioeconomic variation in physical activity across 24 hours in a population-based adult sample representing a broad age range.
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