Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study
Self-report questionnaires are a valuable method of physical activity measurement in public health research; however, accuracy is often lacking. Resolving the differences between self-reported and objectively measured physical activity is an important surveillance challenge currently facing populati...
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MDPI AG
2020-08-01
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Online Access: | https://www.mdpi.com/1424-8220/20/16/4585 |
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author | Ilaria Bortone Fabio Castellana Luisa Lampignano Roberta Zupo Biagio Moretti Gianluigi Giannelli Francesco Panza Rodolfo Sardone |
author_facet | Ilaria Bortone Fabio Castellana Luisa Lampignano Roberta Zupo Biagio Moretti Gianluigi Giannelli Francesco Panza Rodolfo Sardone |
author_sort | Ilaria Bortone |
collection | DOAJ |
description | Self-report questionnaires are a valuable method of physical activity measurement in public health research; however, accuracy is often lacking. Resolving the differences between self-reported and objectively measured physical activity is an important surveillance challenge currently facing population health experts. The present work aims at providing the relationship between activity energy expenditure estimated from wrist-worn accelerometers and intensity of self-reported physical activity (InCHIANTI structured interview questionnaire) in a sub-cohort of a population-based study on aging in Southern Italy. Linear regression was used to test the association between measured and reported physical activity. We found that activity energy expenditure predicted clinical average levels of PA assessed through InCHIANTI classification. |
first_indexed | 2024-03-10T17:23:57Z |
format | Article |
id | doaj.art-fa3a256edf1944a19b20dba366da5eae |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T17:23:57Z |
publishDate | 2020-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-fa3a256edf1944a19b20dba366da5eae2023-11-20T10:16:18ZengMDPI AGSensors1424-82202020-08-012016458510.3390/s20164585Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia StudyIlaria Bortone0Fabio Castellana1Luisa Lampignano2Roberta Zupo3Biagio Moretti4Gianluigi Giannelli5Francesco Panza6Rodolfo Sardone7National Research Hospital, Population Health Unit—“Salus In Apulia Study”—National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, ItalyNational Research Hospital, Population Health Unit—“Salus In Apulia Study”—National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, ItalyNational Research Hospital, Population Health Unit—“Salus In Apulia Study”—National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, ItalyNational Research Hospital, Population Health Unit—“Salus In Apulia Study”—National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, ItalyOrthopaedics and Trauma Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 70124 Bari, ItalyScientific Direction, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, ItalyNational Research Hospital, Population Health Unit—“Salus In Apulia Study”—National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, ItalyNational Research Hospital, Population Health Unit—“Salus In Apulia Study”—National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, ItalySelf-report questionnaires are a valuable method of physical activity measurement in public health research; however, accuracy is often lacking. Resolving the differences between self-reported and objectively measured physical activity is an important surveillance challenge currently facing population health experts. The present work aims at providing the relationship between activity energy expenditure estimated from wrist-worn accelerometers and intensity of self-reported physical activity (InCHIANTI structured interview questionnaire) in a sub-cohort of a population-based study on aging in Southern Italy. Linear regression was used to test the association between measured and reported physical activity. We found that activity energy expenditure predicted clinical average levels of PA assessed through InCHIANTI classification.https://www.mdpi.com/1424-8220/20/16/4585actigraphyself-reportmeasurementenergy expenditurecalibrationaging |
spellingShingle | Ilaria Bortone Fabio Castellana Luisa Lampignano Roberta Zupo Biagio Moretti Gianluigi Giannelli Francesco Panza Rodolfo Sardone Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study Sensors actigraphy self-report measurement energy expenditure calibration aging |
title | Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study |
title_full | Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study |
title_fullStr | Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study |
title_full_unstemmed | Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study |
title_short | Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study |
title_sort | activity energy expenditure predicts clinical average levels of physical activity in older population results from salus in apulia study |
topic | actigraphy self-report measurement energy expenditure calibration aging |
url | https://www.mdpi.com/1424-8220/20/16/4585 |
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