ArticleInternational journal of environmental research and public health2019
Simple Prediction of Metabolic Equivalents of Daily Activities Using Heart Rate Monitor without Calibration of Individuals.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Interrupting sitting with moderate-intensity physical activity breaks improves cognitive processing speed in adults with overweight and obesity: Findings from the SITLess pilot randomized crossover trial.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2025Trial
- Interpretable deep learning for personalized energy expenditure prediction using ECG and acceleration signals in incremental exercise.Scientific reports · 2025Article
- Article
- Relationship between heart rate variability and differential patterns of cortisol response to acute stressors in mid-life adults: A data-driven investigation.Stress and health : journal of the International Society for the Investigation of Stress · 2024Article
- Commonly Used Subjective Effort Scales May Not Predict Directly Measured Physical Workloads and Fatigue in Hispanic Farmworkers.International journal of environmental research and public health · 2023Article
- The challenges of measuring physical activity and sedentary behaviour in people with rheumatoid arthritis.Rheumatology advances in practice · 2023Review
- Energy conservation, minimum steps, and adaptations when needed: A scoping review.Hong Kong journal of occupational therapy : HKJOT · 2022Article
- Dynamic of Glucose Homeostasis in Virtual Patients: A Comparison between Different Behaviors.International journal of environmental research and public health · 2022Article
- Practical Judgment of Workload Based on Physical Activity, Work Conditions, and Worker's Age in Construction Site.Sensors (Basel, Switzerland) · 2020Article
- Effects of Exercise on Biomarkers in Health and Disease: Some New Insights with Special Focus on Extreme Exercise and Healthy Ageing.International journal of environmental research and public health · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart rate (HR) during physical activity is strongly affected by the level of physical fitness. Therefore, to assess the effects of fitness, we developed predictive equations to estimate the metabolic equivalent (MET) of daily activities, which includes low intensity activities, by % HR reserve (%HRR), resting HR, and multiple physical characteristics.
methodsForty volunteers between the ages of 21 and 55 performed 20 types of daily activities while recording HR and sampling expired gas to evaluate METs values. Multiple regression analysis was performed to develop prediction models of METs with seven potential predictors, such as %HRR, resting HR, and sex. The contributing parameters were selected based on the brute force method. Additionally, leave-one-out method was performed to validate the prediction models.
results%HRR, resting HR, sex, and height were selected as the independent variables. %HRR showed the highest contribution in the model, while the other variables exhibited small variances. METs were estimated within a 17.3% difference for each activity, with large differences in document arrangement while sitting (+17%), ascending stairs (-8%), and descending stairs (+8%).
conclusionsThe results showed that %HRR is a strong predictor for estimating the METs of daily activities. Resting HR and other variables were mild contributors. (201 words).
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