Literature DB >> 32788419

An Optimal Self-Report Physical Activity Measure for Older Adults: Does Physical Function Matter?

Nancy W Glynn, Alexa J Meinhardt, Kelsea R LaSorda, Jessica L Graves, Theresa Gmelin, Allison M Gerger, Paolo Caserotti, Robert M Boudreau.   

Abstract

The authors compared two self-report measures of physical activity, the Physical Activity Scale for the Elderly (PASE) and the Community Healthy Activities Model Program for Seniors (CHAMPS), against the device-derived SenseWear Armband (SWA), to identify a recommended self-report tool to measure physical activity in older adults across physical function levels. A total of 65 community-dwelling older adults completed the PASE, CHAMPS, and seven full days of SWA wear. The authors measured physical function using the modified short physical performance battery (SPPB) and a usual-paced 6-m walk. Age- and sex-adjusted Spearman correlations showed that CHAMPS and SWA were correlated in higher functioning participants (SPPB: ρ = .33, p = .03; gait speed: ρ = .40, p = .006) and also correlated in lower functioning participants for SPPB (ρ = .70, p = .003) only. PASE and SWA were not significantly correlated across physical function. When an objective measure of physical activity is not practical, the CHAMPS questionnaire appears to capture physical activity for older adults across physical function levels.

Entities:  

Keywords:  accelerometry; exercise; physical performance; validation studies

Mesh:

Year:  2020        PMID: 32788419      PMCID: PMC9034731          DOI: 10.1123/japa.2019-0380

Source DB:  PubMed          Journal:  J Aging Phys Act        ISSN: 1063-8652            Impact factor:   2.109


  36 in total

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Review 3.  Accelerating Accelerometer Research in Aging.

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-04-17       Impact factor: 6.053

4.  The Physical Activity Scale for the Elderly (PASE): development and evaluation.

Authors:  R A Washburn; K W Smith; A M Jette; C A Janney
Journal:  J Clin Epidemiol       Date:  1993-02       Impact factor: 6.437

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Authors:  Lisa H Colbert; Charles E Matthews; Thomas C Havighurst; Kyungmann Kim; Dale A Schoeller
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7.  Measuring higher level physical function in well-functioning older adults: expanding familiar approaches in the Health ABC study.

Authors:  E M Simonsick; A B Newman; M C Nevitt; S B Kritchevsky; L Ferrucci; J M Guralnik; T Harris
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8.  Longitudinal changes in physical function and physical activity in older adults.

Authors:  Andrea L Metti; John R Best; C Elizabeth Shaaban; Mary Ganguli; Caterina Rosano
Journal:  Age Ageing       Date:  2018-07-01       Impact factor: 10.668

9.  CHAMPS physical activity questionnaire for older adults: outcomes for interventions.

Authors:  A L Stewart; K M Mills; A C King; W L Haskell; D Gillis; P L Ritter
Journal:  Med Sci Sports Exerc       Date:  2001-07       Impact factor: 5.411

10.  Association of Total Daily Physical Activity and Fragmented Physical Activity With Mortality in Older Adults.

Authors:  Amal A Wanigatunga; Junrui Di; Vadim Zipunnikov; Jacek K Urbanek; Pei-Lun Kuo; Eleanor M Simonsick; Luigi Ferrucci; Jennifer A Schrack
Journal:  JAMA Netw Open       Date:  2019-10-02
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Journal:  BMC Geriatr       Date:  2022-05-03       Impact factor: 4.070

2.  Jump power, leg press power, leg strength and grip strength differentially associated with physical performance: The Developmental Epidemiologic Cohort Study (DECOS).

Authors:  Mary E Winger; Paolo Caserotti; Rachel E Ward; Robert M Boudreau; Lars G Hvid; Jane A Cauley; Sara R Piva; Tamara B Harris; Nancy W Glynn; Elsa S Strotmeyer
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  2 in total

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