ArticleJournal of internal medicine2025
Simple step counting captures comparable health information to complex accelerometer measurements.
Article in Journal of internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interplay between frailty and cardiometabolic disorders: from pathophysiology to clinical implications.Cardiovascular diabetology · 2025Pooled it
- Snacktivity in older women: accelerometer-derived step counts, cadence, and bout patterns associated with adiposity.BMC public health · 2026Article
- Step cadence to guide physical activity intensity in coronary heart disease.Frontiers in sports and active living · 2026Article
- Simple step counting captures comparable health information to complex accelerometer measurements.Journal of internal medicine · 2025Article
- Tolerability and the Accelerome: Open-Source Wrist Accelerometry Relates to Symptom Burden in Androgen Ablated Older Men with Prostate Cancer.Digital biomarkersArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysical activity guidelines recommend accumulating moderate-to-vigorous physical activity but interpreting and monitoring these recommendations remains challenging. Although step-based metrics from wearable devices offer a simpler approach, their relationship with health outcomes requires validation against established accelerometer measurements.
objectivesTo evaluate how effectively step-based metrics capture health-related information from accelerometer data and determine optimal step cadence and intensity thresholds associated with cardiometabolic health in middle-aged adults.
methodsCross-sectional data from 4172 participants (aged 50-64 years) in the Swedish CArdioPulmonary bioImage Study (SCAPIS) were analyzed. Physical activity was measured using ActiGraph accelerometers, collecting both step metrics (daily steps and cadence) and full accelerometer data. Both cardiorespiratory fitness, estimated using a submaximal cycle ergometer test, and cardiometabolic health, assessed using a composite score of waist circumference, blood pressure, lipids, and glycated hemoglobin (HbA1c), were considered outcomes. Associations between physical activity and outcomes were examined using linear regression and partial least squares analysis.
resultsStep counting metrics retained 88% of the health-related information from full accelerometer data. The optimal accelerometer intensity associated with cardiometabolic health was around four metabolic equivalents of tasks (METs). A step cadence of 80 steps/min, rather than the commonly used 100 steps/min, appeared more relevant for capturing moderate-intensity activity. Combining step and accelerometer data provided additional explanatory power for cardiometabolic health.
conclusionStep data capture most of the health-related information from accelerometer-measured physical activity in middle-aged adults. These findings support the use of step-based metrics for assessing and promoting physical activity while suggesting a need for recalibration of intensity thresholds in free-living conditions.
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