scholarly journals Metabolic equivalent of task (METs) thresholds as an indicator of physical activity intensity

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200701 ◽  
Author(s):  
Márcio de Almeida Mendes ◽  
Inácio da Silva ◽  
Virgílio Ramires ◽  
Felipe Reichert ◽  
Rafaela Martins ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Intensity ◽  
Metabolic Equivalent ◽  
Activity Intensity ◽  
Metabolic Equivalent Of Task

scholarly journals Reexamination of Accelerometer Calibration with Energy Expenditure as Criterion: VO2net Instead of MET for Age-Equivalent Physical Activity Intensity

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3377 ◽  
Author(s):  
Daniel Arvidsson ◽  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Örjan Ekblom ◽  
Elin Ekblom-Bak ◽  
...  
Keyword(s):  
Physical Activity ◽  
Age Groups ◽  
Accelerometer Data ◽  
Physical Activity Intensity ◽  
Free Living ◽  
Activity Intensity ◽  
Age Related ◽  
Younger Age ◽  
Metabolic Equivalent Of Task ◽  
Adolescents And Adults

Accelerometer calibration for physical activity (PA) intensity is commonly performed using Metabolic Equivalent of Task (MET) as criterion. However, MET is not an age-equivalent measure of PA intensity, which limits the use of MET-calibrated accelerometers for age-related PA investigations. We investigated calibration using VO2net (VO2gross − VO2stand; mL⋅min−1⋅kg−1) as criterion compared to MET (VO2gross/VO2rest) and the effect on assessment of free-living PA in children, adolescents and adults. Oxygen consumption and hip/thigh accelerometer data were collected during rest, stand and treadmill walk and run. Equivalent speed (Speedeq) was used as indicator of the absolute speed (Speedabs) performed with the same effort in individuals of different body size/age. The results showed that VO2net was higher in younger age-groups for Speedabs, but was similar in the three age-groups for Speedeq. MET was lower in younger age-groups for both Speedabs and Speedeq. The same VO2net-values respective MET-values were applied to all age-groups to develop accelerometer PA intensity cut-points. Free-living moderate-and-vigorous PA was 216, 115, 74 and 71 min/d in children, adolescents, younger and older adults with VO2net-calibration, but 140, 83, 74 and 41 min/d with MET-calibration, respectively. In conclusion, VO2net calibration of accelerometers may provide age-equivalent measures of PA intensity/effort for more accurate age-related investigations of PA in epidemiological research.

Step-Rate Thresholds for Physical Activity Intensity in Persons With Multiple Sclerosis

2014 ◽  
Vol 31 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Stamatis Agiovlasitis ◽  
Robert W. Motl
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Group Interaction ◽  
Physical Activity Intensity ◽  
Metabolic Equivalent ◽  
Step Rate ◽  
Activity Intensity ◽  
The Relationship ◽  
Healthy Persons

This study examined whether the relationship between metabolic equivalent units (METs) and step-rate is altered in persons with multiple sclerosis (MS) and developed step-rate thresholds for activity intensity for these persons. Participants were 24 persons with MS (20 women; age = 44 ± 12) and 24 healthy persons without MS (20 women; age = 41 ± 11). The MS group was divided using the 12-item MS Walking Scale (MSWS-12) into two walking impairment subgroups: (a) minimal (n = 13, MSWS-12 ≤ 12.5) and (b) mild-moderate (n = 11, MSWS-12 > 12.5). METs were measured with spirometry and step-rate with hand-tally. Steprate, height, group, the step-rate by group interaction, and the square of step-rate significantly predicted METs. At a given height, the step-rate thresholds at 3 and 6 METs were lower for persons with minimal impairment than persons without MS and even lower for persons with mild-moderate impairment. The relationship between METs and step-rate is altered in persons with MS, lowering their step-rate thresholds for activity intensity, especially for persons with MS who have higher levels of walking impairment.

scholarly journals Evaluating of the Axivity accelerometers algorithm in measurement of physical activity intensity in boys and girls

2019 ◽  
Author(s):  
Maedeh Mansoubi ◽  
Patrick Esser ◽  
Andy Meaney ◽  
Renske Metz ◽  
Kyle Beunder ◽  
...  
Keyword(s):  
Physical Activity ◽  
Activity Level ◽  
Physical Activity Intensity ◽  
Metabolic Equivalent ◽  
Activity Intensity ◽  
Accelerometer Signal ◽  
Run Test ◽  
Signal Vector ◽  
Shuttle Run ◽  
Vector Magnitude

Abstract Background: Accelerometers are new but popular tools in measurement of physical activity level but most of them use the algorithms which are more suitable for adults rather than adolescents. Also accelerometers accuracy in assessing physical activity intensity in boys and girls is widely unknown. Therefore, purpose the current study was to evaluate the validity of the Axivity accelerometers in relation to establish algorithm in the measurement of physical activity intensity in boys and girls. Methods: A total of 143 participants recruited from a local school in Oxfordshire and 119 of them (84 boys and 35 girls, age (12.71 ± 0.46)) completed the shuttle run test while wearing an AX3 accelerometer. Signal Vector Magnitude (gravity-subtracted) (SVMgs) and Metabolic equivalent (MET) values were calculated for both of boys and girls. Results: The study result showed that girls had significantly higher SVMgs value (P< 0.05) while according to the standard equations, girls have lower VO2max and MET in each shuttle run lap. Conclusion: This study result suggest that different algorithms might be necessary to measure physical activity in different genders.

Validation and Comparison of 3 Accelerometers for Measuring Physical Activity Intensity During Nonlocomotive Activities and Locomotive Movements

2012 ◽  
Vol 9 (7) ◽  
pp. 935-943 ◽  
Author(s):  
Yuki Hikihara ◽  
Shigeho Tanaka ◽  
Kazunori Ohkawara ◽  
Kazuko Ishikawa-Takata ◽  
Izumi Tabata
Keyword(s):  
Physical Activity ◽  
The Other ◽  
Physical Activity Intensity ◽  
Metabolic Equivalent ◽  
Activity Intensity ◽  
Douglas Bag ◽  
Douglas Bag Method ◽  
Expired Air

Background:The current study evaluated the validity of 3 commercially-available accelerometers to assess metabolic equivalent values (METs) during 12 activities.Methods:Thirty-three men and thirty-two women were enrolled in this study. The subjects performed 5 nonlocomotive activities and 7 locomotive movements. The Douglas bag method was used to gather expired air. The subjects also wore 3 hip accelerometers, a Lifecorder uniaxial accelerometer (LC), and 2 triaxial accelerometers (ActivTracer, AT; Actimarker, AM).Results:For nonlocomotive activities, the LC largely underestimated METs for all activities (20.3%–55.6%) except for desk work. The AT overestimated METs for desk work (11.3%) and hanging clothes (11.7%), but underestimated for vacuuming (2.3%). The AM underestimated METs for all nonlocomotive activities (8.0%–19.4%) except for hanging clothes (overestimated by 16.7%). The AT and AM errors were significant, but much smaller than the LC errors (23.2% for desk work and –22.3 to –55.6% for the other activities). For locomotive movements, the 3 accelerometers significantly underestimated METs for all activities except for climbing down stairs.Conclusions:We conclude that there were significant differences for most activities in 3 accelerometers. However, the AT, which uses separate equations for nonlocomotive and locomotive activities, was more accurate for nonlocomotive activities than the LC.

Self-reported Physical Activity Intensity and Sleep Apnea Risk

2014 ◽  
Vol 46 ◽  
pp. 374
Author(s):  
Christopher E. Kline ◽  
Matthew P. Buman ◽  
Shawn D. Youngstedt ◽  
Barbara Phillips ◽  
Marco Tulio de Mello ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Apnea ◽  
Physical Activity Intensity ◽  
Activity Intensity

The effect of real‐time monitoring of physical activity intensity in diabetic patients

2021 ◽  
Author(s):  
Rumi Tanaka ◽  
Kimie Fujita ◽  
Satoko Maeno ◽  
Kanako Yakushiji ◽  
Satomi Tanaka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Real Time ◽  
Diabetic Patients ◽  
Physical Activity Intensity ◽  
Real Time Monitoring ◽  
Activity Intensity

scholarly journals Physical Activity and the Risk of COVID-19 Infection and Mortality: A Nationwide Population-Based Case-Control Study

2021 ◽  
Vol 10 (7) ◽  
pp. 1539
Author(s):  
Dong-Hyuk Cho ◽  
Sun Ju Lee ◽  
Sae Young Jae ◽  
Woo Joo Kim ◽  
Seong Jun Ha ◽  
...  
Keyword(s):  
Physical Activity ◽  
Lower Risk ◽  
Population Based ◽  
Control Group ◽  
Metabolic Equivalent ◽  
South Korean ◽  
Public Health Screening ◽  
Metabolic Equivalent Of Task ◽  
Korean National Health Insurance ◽  
Respiratory Coronavirus

Regular physical activity (PA) is known to reduce the risk of serious community-acquired infections. We examined the association of PA with the morbidity and mortality resulting from coronavirus disease (COVID-19) infection in the South Korean population. Patients who tested positive for severe acute respiratory coronavirus 2 and who underwent public health screening between 2014 and 2017 (n = 6288) were included. Age- and sex-matched controls (n = 125,772) were randomly selected from the Korean National Health Insurance Service database. Leisure-time PA was assessed using a self-reported questionnaire. The mean PA levels were lower in the patient than in the control group (558.2 ± 516.3 vs. 580.2 ± 525.7 metabolic equivalent of task (MET)-min/week, p = 0.001). Patients with moderate to vigorous PA (MVPA) were associated with a lower risk of COVID-19 morbidity (odds ratio (OR), 0.90; 95% confidence interval (CI), 0.86–0.95). In addition, a standard deviation (SD) increment in MET/week (525.3 MET-min/week) was associated with a 4% decrease in the risk of COVID-19 morbidity (OR, 0.96; 95% CI, 0.93–0.99). MVPA and an SD increment in MET/week were associated with lower mortality (MVPA: OR, 0.47; 95% CI, 0.26–0.87; per SD increment: OR, 0.65; 95% CI, 0.48–0.88). Higher levels of regular PA were associated with a lower risk of COVID-19 infection and mortality, highlighting the importance of maintaining appropriate levels of PA along with social distancing amid the COVID-19 pandemic.

Accelerometry calibration in people with class II-III obesity: Energy expenditure prediction and physical activity intensity identification

2020 ◽  
Vol 76 ◽  
pp. 104-109 ◽  
Author(s):  
Florêncio Diniz-Sousa ◽  
Lucas Veras ◽  
José Carlos Ribeiro ◽  
Giorjines Boppre ◽  
Vítor Devezas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Class Ii ◽  
Physical Activity Intensity ◽  
Activity Intensity
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