ArticleBMC public health2022
Accelerometer-measured physical activity in mid-age Australian adults.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The relationship between clinical characteristics, sociodemographic factors and sedentary behavior in adults with chronic conditions: a cross-sectional study from the Lolland-Falster Health Study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
- Relative and absolute intensity accelerometer metrics decipher the effects of age, sex, and occupation on physical activity.BMC public health · 2025Observational
- Chronotype and leisure-time physical activity among civil servants in Japan: a cross-sectional analysis of the Aichi workers' cohort study.Archives of public health = Archives belges de sante publique · 2024Article
- Physical activity and sleep changes among children during the COVID-19 pandemic.NPJ digital medicine · 2024Article
- Effect of high-intensity interval training and moderate-intensity continuous training on blood lactate clearance after high-intensity test in adult men.Frontiers in physiology · 2024Article
- Day-to-day variability in accelerometer-measured physical activity in mid-aged Australian adults.BMC public health · 2023Article
- Physical Activity Estimated by the Wearable Device in Lung Disease Patients: Exploratory Analyses of Prospective Observational Study.Journal of clinical medicine · 2023Article
- Habitual Physical Activity of People with or at Risk of Diabetes-Related Foot Complications.Sensors (Basel, Switzerland) · 2023Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundRaw data from accelerometers can provide valuable insights into specific attributes of physical activity, such as time spent in intensity-specific activity. The aim of this study was to describe physical activity assessed with raw data from triaxial wrist-worn accelerometers in mid-age Australian adults.
methodsData were from 700 mid-age adults living in Brisbane, Australia (mean age: 60.4; SD:7.1 years). Data from a non-dominant wrist worn triaxial accelerometer (Actigraph wGT3X-BT), expressed as acceleration in gravitational equivalent units (1 mg = 0.001 g), were used to estimate time spent in moderate-vigorous intensity physical activity (MVPA; >100 mg) using different bout criteria (non-bouted, 1-, 5-, and 10-min bouts), and the proportion of participants who spent an average of at least one minute per day in vigorous physical activity.
resultsMean acceleration was 23.2 mg (SD: 7.5) and did not vary by gender (men: 22.4; women: 23.7; p-value: 0.073) or education (p-value: 0.375). On average, mean acceleration was 10% (2.5 mg) lower per decade of age from age 55y. The median durations in non-bouted, 1-min, 5-min and 10-min MVPA bouts were, respectively, 68 (25th -75th : 45-99), 26 (25th -75th : 12-46), 10 (25th -75th : 3-24) and 8 (25th -75th : 0-19) min/day. Around one third of the sample did at least one minute per day in vigorous intensity activities.
conclusionThis population-based cohort provided a detailed description of physical activity based on raw data from accelerometers in mid-age adults in Australia. Such data can be used to investigate how different patterns and intensities of physical activity vary across the day/week and influence health outcomes.
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