Literature DB >> 26452423

Relating wrist accelerometry measures to disability in older adults.

Megan J Huisingh-Scheetz1, Masha Kocherginsky2, Elizabeth Magett3, Patricia Rush3, William Dale3, Linda Waite4.   

Abstract

OBJECTIVE: This analysis assessed the extent to which: (1) wrist accelerometer measures were associated with difficulty performing specific activities of daily living and instrumental activities of daily living and (2) these measures contributed important information about disability beyond a typical self-reported vigorous activity frequency question.
METHODS: We used data from the National Social Life, Health and Aging Project (NSHAP) accelerometry sub-study (n=738). Activity was assessed using two wrist-accelerometer measures assessed over 3 days (routine activity expressed as mean count/15s epoch during wake time, and immobile time expressed as the proportion of wake time spent immobile), and self-reported average vigorous activity frequency. The association between routine activity, immobile time and difficulty performing fourteen activities of daily living (ADLs) and instrumental activities of daily living (IADLs) plus two summary measures (any ADL or IADL difficulty), was assessed using logistic regression models, with and without controlling for self-reported vigorous activity.
RESULTS: Self-reported activity was mildly correlated with routine activity (r=0.27) and immobile time (r=-0.21). Routine activity, immobile time, and self-reported vigorous activity were significantly associated with twelve, ten, and fourteen disability measures, respectively. After controlling for self-reported activity, significant associations remained between routine activity and eight disabilities, and immobile time and six disabilities.
CONCLUSION: Wrist accelerometry measures were associated with many ADL and IADL disabilities among older adults. Wrist acclerometry in older adults may be useful to help assess disability risks and set individualized physical activity targets.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Accelerometry; Disability; Frail older adult; Motor activity; Self report

Mesh:

Year:  2015        PMID: 26452423      PMCID: PMC4663184          DOI: 10.1016/j.archger.2015.09.004

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  53 in total

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Authors:  Mary E Rosenberger; William L Haskell; Fahd Albinali; Selene Mota; Jason Nawyn; Stephen Intille
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6.  Surrogate screening models for the low physical activity criterion of frailty.

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8.  How many days of monitoring predict physical activity and sedentary behaviour in older adults?

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9.  Do major life events influence physical activity among older adults: the Longitudinal Aging Study Amsterdam.

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Review 3.  Technology-based measurements for screening, monitoring and preventing frailty.

Authors:  L Dasenbrock; A Heinks; M Schwenk; J M Bauer
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4.  The Relationship Between Physical Activity and Frailty Among U.S. Older Adults Based on Hourly Accelerometry Data.

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5.  Television Viewing, Physical Activity, and Loneliness in Late Life.

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7.  Assessing Fatigability in the Lab and in Daily Life in Older Adults With Osteoarthritis Using Perceived, Performance, and Ecological Measures.

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8.  The Association Between Objectively Measured Physical Activity and Subsequent Health Care Utilization in Older Men.

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Review 10.  Assessment of Physical Activity in Adults Using Wrist Accelerometers.

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