Activity Energy Expenditure Predicts Clinical Average Levels of Physical Activity in Older Population: Results from Salus in Apulia Study

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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Main Authors: Ilaria Bortone, Fabio Castellana, Luisa Lampignano, Roberta Zupo, Biagio Moretti, Gianluigi Giannelli, Francesco Panza, Rodolfo Sardone
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
actigraphy
self-report
measurement
energy expenditure
calibration
aging
Online Access:https://www.mdpi.com/1424-8220/20/16/4585
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spelling doaj-fa3a256edf1944a19b20dba366da5eae2020-11-25T03:46:39ZengMDPI AGSensors1424-82202020-08-01204585458510.3390/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
collection DOAJ
language English
format Article
sources DOAJ
author Ilaria Bortone
Fabio Castellana
Luisa Lampignano
Roberta Zupo
Biagio Moretti
Gianluigi Giannelli
Francesco Panza
Rodolfo Sardone
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
author_facet Ilaria Bortone
Fabio Castellana
Luisa Lampignano
Roberta Zupo
Biagio Moretti
Gianluigi Giannelli
Francesco Panza
Rodolfo Sardone
author_sort Ilaria Bortone
title 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_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_sort activity energy expenditure predicts clinical average levels of physical activity in older population: results from salus in apulia study
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-08-01
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.
topic actigraphy
self-report
measurement
energy expenditure
calibration
aging
url https://www.mdpi.com/1424-8220/20/16/4585
work_keys_str_mv AT ilariabortone activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
AT fabiocastellana activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
AT luisalampignano activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
AT robertazupo activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
AT biagiomoretti activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
AT gianluigigiannelli activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
AT francescopanza activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
AT rodolfosardone activityenergyexpenditurepredictsclinicalaveragelevelsofphysicalactivityinolderpopulationresultsfromsalusinapuliastudy
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