Evidence map›Paper›PMID 29106478›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2018

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

Megan Huisingh-Scheetz, Kristen Wroblewski, Masha Kocherginsky, Elbert Huang, William Dale, Linda Waite, L Philip Schumm

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Timing of physical activity within the 24-hour day and its influence on health: a systematic review.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2022
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Stretching and Multicomponent Training to Functional Capacities of Older Women: A Randomized Study.International journal of environmental research and public health · 2021
    Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Workshop Report-Heterogeneity and Successful Aging Part II: Approaches to Investigate Heterogeneity in Aging Research.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Indoor Mobility, Frailty, and Disability in Community-Dwelling Older Adults: A Mediation Model.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Megan Huisingh-ScheetzDepartment of Medicine, Section of Geriatrics and Palliative Medicine, Illinois.
Kristen WroblewskiDepartment of Public Health Sciences, University of Chicago, Illinois.
Masha KocherginskyDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois.
Elbert HuangDepartment of Medicine, Section of General Medicine, University of Chicago Medicine, Illinois.
William DaleDepartment of Medicine, Section of Geriatrics and Palliative Medicine, Illinois.
Linda WaiteDepartment of Sociology, University of Chicago, Illinois.
L Philip SchummDepartment of Public Health Sciences, University of Chicago, Illinois.
University of Chicago · USNorthwestern University · US

Funding

National Social Life, Health, and Aging Project: Anaylsis of Wave 1 and Wave 2R37AG030481 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2008 to 2017
$15.4M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
NSHAP Wave II Partner Data CollectionR01AG033903 · NIA · NATIONAL OPINION RESEARCH CENTER · PI WAITE, LINDA J · 2009 to 2013
$5.8M
Early Frailty Biomarkers: Patterns of Activity and Energy ExpenditureK23AG049106 · NIA · UNIVERSITY OF CHICAGO · PI HUISINGH-SCHEETZ, MEGAN J · 2016 to 2021
$924k
Research and Mentorship in Medical Decision Making in DiabetesK24DK105340 · NIDDK · UNIVERSITY OF CHICAGO · PI HUANG, ELBERT S. · 2015 to 2019
$884k
NIA NIH HHS K23 AG049106NIA NIH HHS R01 AG033903NIA NIH HHS R37 AG030481NIDDK NIH HHS K24 DK105340NIDDK NIH HHS P30 DK092949
6 · The paper itself

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.

Indexed as

AccelerometryFrail ElderlyGeriatric AssessmentAgedAged, 80 and overAge FactorsBody Mass IndexComorbidityFemaleHumansLongitudinal StudiesMaleMiddle AgedMotor ActivityPhenotypeSex Factors

Identifiers

PMID29106478
PMCPMC5905616
OpenAlexW2765606296

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.