TY - JOUR
T1 - The Relationship between Physical Activity and Frailty among U.S. Older Adults Based on Hourly Accelerometry Data
AU - Huisingh-Scheetz, Megan
AU - Wroblewski, Kristen
AU - Kocherginsky, Masha
AU - Huang, Elbert
AU - Dale, William
AU - Waite, Linda
AU - Schumm, L. Philip
N1 - Funding Information:
This work was supported by National Institute on Aging (1K23AG049106 to M.H.-S.). The National Social Life, Health and Aging Project is supported by the National Institute on Aging and the National Institutes of Health (R37AG030481; R01AG033903). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2018 Oxford University Press. All rights reserved.
PY - 2018/4/17
Y1 - 2018/4/17
N2 - 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 (04) 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.
AB - 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 (04) 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.
KW - Accelerometry
KW - Frailty
KW - NSHAP
KW - Physical activity
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U2 - 10.1093/gerona/glx208
DO - 10.1093/gerona/glx208
M3 - Article
C2 - 29106478
AN - SCOPUS:85046262345
SN - 1079-5006
VL - 73
SP - 622
EP - 629
JO - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
JF - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
IS - 5
ER -