Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities
Accurate methods for the prediction of the total energy expenditure and physical activity level (PAL) in community-dwelling older adults have not been established. Therefore, we examined the validity of estimating the PAL using an activity monitor (Active style Pro HJA-350IT, [ASP]) and proposed cor...
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MDPI AG
2023-05-01
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| Online Access: | https://www.mdpi.com/1424-8220/23/10/4960 |
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| author | Shigeho Tanaka Kazuko Ishikawa-Takata Satoshi Nakae Satoshi Sasaki |
| author_facet | Shigeho Tanaka Kazuko Ishikawa-Takata Satoshi Nakae Satoshi Sasaki |
| author_sort | Shigeho Tanaka |
| collection | DOAJ |
| description | Accurate methods for the prediction of the total energy expenditure and physical activity level (PAL) in community-dwelling older adults have not been established. Therefore, we examined the validity of estimating the PAL using an activity monitor (Active style Pro HJA-350IT, [ASP]) and proposed correction formulae for such populations in Japan. Data for 69 Japanese community-dwelling adults aged 65 to 85 years were used. The total energy expenditure in free-living conditions was measured with the doubly labeled water method and the measured basal metabolic rate. The PAL was also estimated from metabolic equivalent (MET) values obtained with the activity monitor. Adjusted MET values were also calculated with the regression equation of Nagayoshi et al. (2019). The observed PAL was underestimated, but significantly correlated, with the PAL from the ASP. When adjusted using the Nagayoshi et al. regression equation, the PAL was overestimated. Therefore, we developed regression equations to estimate the actual PAL (Y) from the PAL obtained with the ASP for young adults (X) as follows: women: Y = 0.949 × X + 0.205, mean ± standard deviation of the prediction error = 0.00 ± 0.20; men: Y = 0.899 × X + 0.371, mean ± standard deviation of the prediction error = 0.00 ± 0.17. |
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| id | doaj.art-4513d20f27f04b519aa0e1da387b78fe |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T03:20:14Z |
| publishDate | 2023-05-01 |
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| spelling | doaj.art-4513d20f27f04b519aa0e1da387b78fe2023-11-18T03:15:13ZengMDPI AGSensors1424-82202023-05-012310496010.3390/s23104960Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory ActivitiesShigeho Tanaka0Kazuko Ishikawa-Takata1Satoshi Nakae2Satoshi Sasaki3Faculty of Nutrition, Kagawa Nutrition University, Saitama 350-0288, JapanDepartment of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka 566-0002, JapanHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Chiba 277-0882, JapanDepartment of Social and Preventive Epidemiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, JapanAccurate methods for the prediction of the total energy expenditure and physical activity level (PAL) in community-dwelling older adults have not been established. Therefore, we examined the validity of estimating the PAL using an activity monitor (Active style Pro HJA-350IT, [ASP]) and proposed correction formulae for such populations in Japan. Data for 69 Japanese community-dwelling adults aged 65 to 85 years were used. The total energy expenditure in free-living conditions was measured with the doubly labeled water method and the measured basal metabolic rate. The PAL was also estimated from metabolic equivalent (MET) values obtained with the activity monitor. Adjusted MET values were also calculated with the regression equation of Nagayoshi et al. (2019). The observed PAL was underestimated, but significantly correlated, with the PAL from the ASP. When adjusted using the Nagayoshi et al. regression equation, the PAL was overestimated. Therefore, we developed regression equations to estimate the actual PAL (Y) from the PAL obtained with the ASP for young adults (X) as follows: women: Y = 0.949 × X + 0.205, mean ± standard deviation of the prediction error = 0.00 ± 0.20; men: Y = 0.899 × X + 0.371, mean ± standard deviation of the prediction error = 0.00 ± 0.17.https://www.mdpi.com/1424-8220/23/10/4960accelerometerphysical activity levelcommunity-dwelling older adultsdoubly labeled watertotal energy expenditure |
| spellingShingle | Shigeho Tanaka Kazuko Ishikawa-Takata Satoshi Nakae Satoshi Sasaki Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities Sensors accelerometer physical activity level community-dwelling older adults doubly labeled water total energy expenditure |
| title | Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities |
| title_full | Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities |
| title_fullStr | Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities |
| title_full_unstemmed | Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities |
| title_short | Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities |
| title_sort | prediction of the physical activity level of community dwelling older japanese adults with a triaxial accelerometer containing a classification algorithm for ambulatory and non ambulatory activities |
| topic | accelerometer physical activity level community-dwelling older adults doubly labeled water total energy expenditure |
| url | https://www.mdpi.com/1424-8220/23/10/4960 |
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