ArticleSports medicine (Auckland, N.Z.)2020
Use of Compositional Data Analysis to Show Estimated Changes in Cardiometabolic Health by Reallocating Time to Light-Intensity Physical Activity in Older Adults.
Article in Sports medicine (Auckland, N.Z.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 4 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Characterizing device-measured sleep in observational health research using compositional data analysis: a systematic review.The international journal of behavioral nutrition and physical activity · 2026Pooled it
- Reallocating 24-hour movement behaviors and cardiometabolic health in adults: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2026Pooled it
- Reallocating Time Between 24-h Movement Behaviors for Obesity Management Across the Lifespan: A Pooled Data Meta-Analysis of More Than 9800 Participants from Seven Countries.Sports medicine (Auckland, N.Z.) · 2025Pooled it
- The whole day matters: Understanding 24-hour movement guideline adherence and relationships with health indicators across the lifespan.Journal of sport and health science · 2020Pooled it
- Move for Life an intervention for inactive adults aged 50 years and older: a cluster randomised feasibility trial.Frontiers in public health · 2024Trial
- Validity, Reliability and Sensitivity to Change of Three Consumer-Grade Activity Trackers in Controlled and Free-Living Conditions among Older Adults.Sensors (Basel, Switzerland) · 2021Trial
- A Cluster-Randomised Crossover Pilot Feasibility Study of a Multicomponent Intervention to Reduce Occupational Sedentary Behaviour in Professional Male Employees.International journal of environmental research and public health · 2021Trial
- Associations of physical activity, sedentary behavior and sleep with obesity markers in Chinese college students: a compositional data analysis.BMC public health · 2026Article
- Snacktivity in older women: accelerometer-derived step counts, cadence, and bout patterns associated with adiposity.BMC public health · 2026Article
- Meeting WHO physical activity standards may promote greater gut microbiota diversity and preservation of Ruminococcus in community-dwelling older women.Environmental health and preventive medicine · 2026Article
- Minimum wear time criteria for reliable estimates of device-measured 24-hour movement in older women.American journal of epidemiology · 2025Article
- Objective physical activity and Alzheimer's disease burden in the population-based Rotterdam Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Longitudinal associations between waking movement behaviors and health-related quality of life in older adults: a compositional data analysis approach.Journal of activity, sedentary and sleep behaviors · 2025Article
- Methodological Choices on 24-h Movement Behavior Assessment by Accelerometry: A Scoping Review.Sports medicine - open · 2025Review
- Isotemporal Substitution Effect of 24-h Movement Behaviors on Well-Being, Cognition, and BMI Among Older Adults.Journal of clinical medicine · 2025Article
- The interplay between lying, sitting, standing, moving, and walking on obesity risk in older adults: a compositional and isotemporal substitution analysis.BMC geriatrics · 2024Article
- Should We Work Smarter or Harder for Our Health? A Comparison of Intensity and Domain-Based Time-Use Compositions and Their Associations With Cognitive and Cardiometabolic Health.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Reallocation of time to moderate-to-vigorous physical activity and estimated changes in physical fitness among preschoolers: a compositional data analysis.BMC public health · 2024Article
- Reallocating just 10 min to moderate-to-vigorous physical activity from other components of 24-hour movement behaviors improves cardiovascular health in adults.BMC public health · 2024Article
- Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAll physical activity (PA) behaviours undertaken over the day, including sleep, sedentary time, standing time, light-intensity PA (LIPA) and moderate-to-vigorous PA (MVPA) have the potential to influence cardiometabolic health. Since these behaviours are mutually exclusive, standard statistical approaches are unable to account for the impact on time spent in other behaviours.
objectiveBy employing a compositional data analysis (CoDA) approach, this study examined the associations of objectively measured time spent in sleep, sedentary time, standing time, LIPA and MVPA over a 24-h day on markers of cardiometabolic health in older adults.
methodsParticipants (n =366; 64.6 years [5.3]; 46% female) from the Mitchelstown Cohort Rescreen Study provided measures of body composition, blood lipid and markers of glucose control. An activPAL3 Micro was used to obtain objective measures of sleep, sedentary time, standing time, LIPA and MVPA, using a 7-day continuous wear protocol. Regression analysis, using geometric means derived from CoDA (based on isometric log-ratio transformed data), was used to examine the relationship between the aforementioned behaviours and markers of cardiometabolic health.
resultsStanding time and LIPA showed diverging associations with markers of body composition. Body mass index (BMI), body mass and fat mass were negatively associated with LIPA (all p <0.05) and positively associated with standing time (all p <0.05). Sedentary time was also associated with higher BMI (p <0.05). No associations between blood markers and any PA behaviours were observed, except for triglycerides, which were negatively associated with standing time (p < 0.05). Reallocating 30 min from sleep, sedentary time or standing time, to LIPA, was associated with significant decreases in BMI, body fat and fat mass.
conclusionThis is the first study to employ CoDA in older adults that has accounted for sleep, sedentary time, standing time, LIPA and MVPA in a 24-h cycle. The findings support engagement in LIPA to improve body composition in older adults. Increased standing time was associated with higher levels of adiposity, with increased LIPA associated with reduced adiposity; therefore, these findings indicate that replacing standing time with LIPA is a strategy to lower adiposity.
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