scholarly journals Dynapenia, gait speed and daily physical activity measured using triaxial accelerometer in older Japanese men

2014 ◽  
Vol 3 (1) ◽  
pp. 147-154 ◽  
Author(s):  
Masahiro Ikenaga ◽  
Yosuke Yamada ◽  
Noriko Takeda ◽  
Misaka Kimura ◽  
Yasuki Higaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gait Speed ◽  
Daily Physical Activity ◽  
Triaxial Accelerometer ◽  
Japanese Men

Four-meter gait speed predicts daily physical activity in patients with chronic respiratory diseases

2019 ◽  
Vol 57 (4) ◽  
pp. 368-375 ◽  
Author(s):  
Chieko Yoshida ◽  
Hidenori Ichiyasu ◽  
Hideharu Ideguchi ◽  
Susumu Hirosako ◽  
Aiko Masunaga ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gait Speed ◽  
Respiratory Diseases ◽  
Daily Physical Activity ◽  
Chronic Respiratory Diseases

scholarly journals Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm

2011 ◽  
Vol 105 (11) ◽  
pp. 1681-1691 ◽  
Author(s):  
Kazunori Ohkawara ◽  
Yoshitake Oshima ◽  
Yuki Hikihara ◽  
Kazuko Ishikawa-Takata ◽  
Izumi Tabata ◽  
...  
Keyword(s):  
Physical Activity ◽  
Linear Regression ◽  
Cross Validation ◽  
Classification Algorithm ◽  
Daily Physical Activity ◽  
Triaxial Accelerometer ◽  
Validation Group ◽  
Activity Intensity ◽  
Metabolic Equivalents ◽  
Non Linear

We have recently developed a simple algorithm for the classification of household and locomotive activities using the ratio of unfiltered to filtered synthetic acceleration (gravity-removal physical activity classification algorithm, GRPACA) measured by a triaxial accelerometer. The purpose of the present study was to develop a new model for the immediate estimation of daily physical activity intensities using a triaxial accelerometer. A total of sixty-six subjects were randomly assigned into validation (n 44) and cross-validation (n 22) groups. All subjects performed fourteen activities while wearing a triaxial accelerometer in a controlled laboratory setting. During each activity, energy expenditure was measured by indirect calorimetry, and physical activity intensities were expressed as metabolic equivalents (MET). The validation group displayed strong relationships between measured MET and filtered synthetic accelerations for household (r 0·907, P < 0·001) and locomotive (r 0·961, P < 0·001) activities. In the cross-validation group, two GRPACA-based linear regression models provided highly accurate MET estimation for household and locomotive activities. Results were similar when equations were developed by non-linear regression or sex-specific linear or non-linear regressions. Sedentary activities were also accurately estimated by the specific linear regression classified from other activity counts. Therefore, the use of a triaxial accelerometer in combination with a GRPACA permits more accurate and immediate estimation of daily physical activity intensities, compared with previously reported cut-off classification models. This method may be useful for field investigations as well as for self-monitoring by general users.

scholarly journals Gender-related Differences in Maximum Gait Speed and Daily Physical Activity in Elderly Hospitalized Cardiac Inpatients

Medicine ◽  
2015 ◽  
Vol 94 (11) ◽  
pp. e623 ◽  
Author(s):  
Kazuhiro P. Izawa ◽  
Satoshi Watanabe ◽  
Yasuyuki Hirano ◽  
Shinya Matsushima ◽  
Tomohiro Suzuki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gait Speed ◽  
Daily Physical Activity

scholarly journals Daily Physical Activity Assessed by a Triaxial Accelerometer Is Beneficially Associated with Waist Circumference, Serum Triglycerides, and Insulin Resistance in Japanese Patients with Prediabetes or Untreated Early Type 2 Diabetes

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Hidetaka Hamasaki ◽  
Mitsuhiko Noda ◽  
Sumie Moriyama ◽  
Reo Yoshikawa ◽  
Hisayuki Katsuyama ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Waist Circumference ◽  
Physical Activity Level ◽  
Daily Physical Activity ◽  
Activity Level ◽  
Metabolic Risk ◽  
Triaxial Accelerometer ◽  
Serum Triglycerides

Aim. To investigate the association between daily physical activity and metabolic risk factors in Japanese adults with prediabetes or untreated early type 2 diabetes (T2D).Methods. Daily physical activity level was measured using a triaxial accelerometer. We assessed correlations between physical activity level and waist circumference, blood pressure, fasting levels of plasma glucose, serum triglycerides, and insulin and homeostasis model assessment-insulin resistance (HOMA-IR).Results. A total of 80 patients were studied. After adjustment for age and body mass index, in all subjects, physical activity level was negatively associated with waist circumference (β=-0.124,P=0.018) and fasting serum triglycerides (β=-0.239,P=0.035), insulin (β=-0.224,P=0.022). In men, physical activity level was negatively associated with systolic blood pressure (β=-0.351,P=0.044), fasting plasma glucose (β=-0.369,P=0.025) and insulin (β=-0.362,P=0.012), and HOMA-IR (β=-0.371,P=0.011). No significant associations were found between physical activity level and metabolic risk factors in women.Conclusion. Objectively measured daily physical activity is beneficially associated with waist circumference, serum triglycerides, and insulin resistance in individuals with prediabetes or untreated early T2D. (This trial is registered withUMIN000015774.)

Association between physical activity and functional and cognitive status in nonagenarians: results from the Mugello study

2018 ◽  
Vol 31 (06) ◽  
pp. 901-908
Author(s):  
Silvia Pancani ◽  
Federica Vannetti ◽  
Francesco Sofi ◽  
Francesca Cecchi ◽  
Guido Pasquini ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gait Speed ◽  
Handgrip Strength ◽  
Quantitative Information ◽  
Cross Sectional Study ◽  
Cognitive Status ◽  
Daily Physical Activity ◽  
Cross Sectional ◽  
Daily Step Count ◽  
Steps Per Day

ABSTRACTThis study aimed at assessing daily physical activity and its relationship with functional and cognitive status in nonagenarians. Cross-sectional study. 167 nonagenarians (124 women and 43 men, mean age 92 years ± 3) who participated in the Mugello study. Participants underwent daily step count through the SenseWear armband, which was considered as an indicator of physical activity. Other main variables were: handgrip strength, gait speed, depression, cognitive status and quality of life. The median value of steps per day was 883 and 658 in women and men, respectively, with a participant, in the women group, showing values up to 10,000. After adjusting for potential confounders, physical activity remained a significant positive correlate of handgrip strength (r = 0.4), gait speed (r = 0.8), and cognitive status (r = 0.6 and 0.8, respectively for raw scores and for scores adjusted for age and education). On the contrary, physical activity remained a significant negative correlate of depression (r = 0.5). Our results provide quantitative information on daily physical activity and show a significant relationship between daily physical activity and functional and cognitive status in nonagenarians.

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