Literature DB >> 29106478

The Relationship Between Physical Activity and Frailty Among U.S. Older Adults Based on Hourly Accelerometry Data.

Megan Huisingh-Scheetz1, Kristen Wroblewski2, Masha Kocherginsky3, Elbert Huang4, William Dale1, Linda Waite5,6, L Philip Schumm2.   

Abstract

Background/
Objectives: Accelerometry measures older adult (in)activity with high resolution. Most studies summarize activity over the entire wear time. We extend prior work by analyzing hourly activity data to determine how frailty and other characteristics relate to activity among older adults.
Methods: Using wrist accelerometry data collected from the National Social Life, Health and Aging Project (n = 651), a nationally-representative probability sample of older adults, we used mixed effects linear regression to model the logarithm of hourly counts per minute as a function of an adapted phenotypic frailty score, adjusting for demographic and health characteristics, season, day of week and time of day.
Results: Higher frailty scores were associated with modestly lower activity; each frailty point (0-4) corresponded to a 7% lower mean hourly counts per minute. Older age, more comorbidities, male gender, and higher BMI were also associated with lower activity, though the latter was not evident among frail respondents. After adjusting for differences associated with frailty and other covariates, a substantial amount of between-individual variability in activity remained, as well as within-individual variability across days.
Conclusion: Our findings indicate that frail elders, men, those who are older, overweight or have multiple comorbidities are most likely to have low activity. However, residual differences between individuals remain larger than the differences associated with frailty and other covariates. We suggest defining individual-specific activity goals and further research to identify the sources of between-individual variability to better understand how activity reflects health status and to permit the development of more effective interventions.

Entities:  

Mesh:

Year:  2018        PMID: 29106478      PMCID: PMC5905616          DOI: 10.1093/gerona/glx208

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  36 in total

1.  Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers.

Authors:  Kong Y Chen; Sari A Acra; Karen Majchrzak; Candice L Donahue; Lemont Baker; Linda Clemens; Ming Sun; Maciej S Buchowski
Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

2.  Assessing the "physical cliff": detailed quantification of age-related differences in daily patterns of physical activity.

Authors:  Jennifer A Schrack; Vadim Zipunnikov; Jeff Goldsmith; Jiawei Bai; Eleanor M Simonsick; Ciprian Crainiceanu; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-12-14       Impact factor: 6.053

3.  Accelerometer-Derived Pattern of Sedentary and Physical Activity Time in Persons with Mobility Disability: National Health and Nutrition Examination Survey 2003 to 2006.

Authors:  Patricia Manns; Victor Ezeugwu; Susan Armijo-Olivo; Jeff Vallance; Genevieve N Healy
Journal:  J Am Geriatr Soc       Date:  2015-07-14       Impact factor: 5.562

4.  Wrist Accelerometry in the Health, Functional, and Social Assessment of Older Adults.

Authors:  Megan Huisingh-Scheetz; Masha Kocherginsky; Lara Dugas; Carolyn Payne; William Dale; David E Conroy; Linda Waite
Journal:  J Am Geriatr Soc       Date:  2016-04       Impact factor: 5.562

5.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

6.  Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With Mortality.

Authors:  Kelly R Evenson; Amy H Herring; Fang Wen
Journal:  Am J Prev Med       Date:  2017-02       Impact factor: 5.043

7.  Estimating activity and sedentary behavior from an accelerometer on the hip or wrist.

Authors:  Mary E Rosenberger; William L Haskell; Fahd Albinali; Selene Mota; Jason Nawyn; Stephen Intille
Journal:  Med Sci Sports Exerc       Date:  2013-05       Impact factor: 5.411

8.  Relating wrist accelerometry measures to disability in older adults.

Authors:  Megan J Huisingh-Scheetz; Masha Kocherginsky; Elizabeth Magett; Patricia Rush; William Dale; Linda Waite
Journal:  Arch Gerontol Geriatr       Date:  2015-09-16       Impact factor: 3.250

9.  Gender and Age Differences in Hourly and Daily Patterns of Sedentary Time in Older Adults Living in Retirement Communities.

Authors:  John Bellettiere; Jordan A Carlson; Dori Rosenberg; Anant Singhania; Loki Natarajan; Vincent Berardi; Andrea Z LaCroix; Dorothy D Sears; Kevin Moran; Katie Crist; Jacqueline Kerr
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

10.  Measuring Physical Activity with Hip Accelerometry among U.S. Older Adults: How Many Days Are Enough?

Authors:  Masha Kocherginsky; Megan Huisingh-Scheetz; William Dale; Diane S Lauderdale; Linda Waite
Journal:  PLoS One       Date:  2017-01-12       Impact factor: 3.240

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  18 in total

Review 1.  Accelerating Accelerometer Research in Aging.

Authors:  Eric J Shiroma; Jennifer A Schrack; Tamara B Harris
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-04-17       Impact factor: 6.053

2.  Cognitive Function, Consent for Participation, and Compliance With Wearable Device Protocols in Older Adults.

Authors:  Jen-Hao Chen; Diane S Lauderdale
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-01-16       Impact factor: 6.053

3.  The Predictive Performance of Objective Measures of Physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in Older Adults: National Health and Nutritional Examination Survey 2003-2006.

Authors:  Ekaterina Smirnova; Andrew Leroux; Quy Cao; Lucia Tabacu; Vadim Zipunnikov; Ciprian Crainiceanu; Jacek K Urbanek
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-09-16       Impact factor: 6.053

4.  Objectively Measured Patterns of Daily Physical Activity and Phenotypic Frailty.

Authors:  Amal A Wanigatunga; Yurun Cai; Jacek K Urbanek; Christine M Mitchell; David L Roth; Edgar R Miller; Erin D Michos; Stephen P Juraschek; Jeremy Walston; Qian-Li Xue; Lawrence J Appel; Jennifer A Schrack
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-09-01       Impact factor: 6.591

5.  Free-living wrist and hip accelerometry forecast cognitive decline among older adults without dementia over 1- or 5-years in two distinct observational cohorts.

Authors:  Chengjian Shi; Niser Babiker; Jacek K Urbanek; Robert L Grossman; Megan Huisingh-Scheetz; Andrey Rzhetsky
Journal:  NPJ Aging       Date:  2022-06-06

6.  Timing of physical activity within the 24-hour day and its influence on health: a systematic review.

Authors:  Ian Janssen; Julie E Campbell; Samah Zahran; Travis J Saunders; Jennifer R Tomasone; Jean-Philippe Chaput
Journal:  Health Promot Chronic Dis Prev Can       Date:  2022-04       Impact factor: 2.725

7.  Frailty Is Associated with an Increased Risk of Major Adverse Cardiac Events in Patients with Stable Claudication.

Authors:  Melinda S Schaller; Joel L Ramirez; Warren J Gasper; Greg J Zahner; Nancy K Hills; S Marlene Grenon
Journal:  Ann Vasc Surg       Date:  2018-03-26       Impact factor: 1.466

8.  Variability in Hourly Activity Levels: Statistical Noise or Insight Into Older Adult Frailty?

Authors:  Megan Huisingh-Scheetz; Kristen Wroblewski; Linda Waite; Elbert S Huang; L Philip Schumm; Donald Hedeker
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-08-13       Impact factor: 6.053

9.  Disparate Habitual Physical Activity and Dietary Intake Profiles of Elderly Men with Low and Elevated Systemic Inflammation.

Authors:  Dimitrios Draganidis; Athanasios Z Jamurtas; Theodoros Stampoulis; Vasiliki C Laschou; Chariklia K Deli; Kalliopi Georgakouli; Konstantinos Papanikolaou; Athanasios Chatzinikolaou; Maria Michalopoulou; Constantinos Papadopoulos; Panagiotis Tsimeas; Niki Chondrogianni; Yiannis Koutedakis; Leonidas G Karagounis; Ioannis G Fatouros
Journal:  Nutrients       Date:  2018-05-04       Impact factor: 5.717

Review 10.  How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review.

Authors:  Grainne Vavasour; Oonagh M Giggins; Julie Doyle; Daniel Kelly
Journal:  J Neuroeng Rehabil       Date:  2021-07-08       Impact factor: 4.262

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