Evidence map›Paper›PMID 33049032›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

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

Megan Huisingh-Scheetz, Kristen Wroblewski, Linda Waite, Elbert S Huang, L Philip Schumm, Donald Hedeker

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Objectively Measured Patterns of Daily Physical Activity and Phenotypic Frailty.The journals of gerontology. Series A, Biological sciences and medical sciences · 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

6 authors at 2 institutions in 1 country.

Megan Huisingh-ScheetzSection of Geriatrics and Palliative Medicine, University of Chicago, Illinois.
Kristen WroblewskiDepartment of Public Health Sciences, University of Chicago, Illinois.
Linda WaiteDepartment of Sociology and NORC, University of Chicago, Illinois.ORCID 0000-0002-8997-5802
Elbert S HuangSection of General Internal Medicine, University of Chicago, Illinois.
L Philip SchummDepartment of Public Health Sciences, University of Chicago, Illinois.
Donald HedekerDepartment of Public Health Sciences, University of Chicago, Illinois.
Chicago Department of Public Health · USUniversity of Chicago · US

Funding

National Social Life, Health and Aging: Wave 4R01AG043538 · NIA · NATIONAL OPINION RESEARCH CENTER · PI LINDA J WAITE · 2013 to 2026
$42.7M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
Social Modulation of Transitions in Diabetes: Synthesizing Data Sets and Biomeasure AssaysR01AG060756 · NIA · UNIVERSITY OF CHICAGO · PI HUANG, ELBERT S., MCCLINTOCK, MARTHA KENT · 2019 to 2023
$3.1M
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 for Chronic Diseases of Older AdultsK24AG069080 · NIA · UNIVERSITY OF CHICAGO · PI HUANG, ELBERT S. · 2020 to 2024
$583k
NIA NIH HHS K23 AG049106NIA NIH HHS K24 AG069080NIA NIH HHS R01 AG043538NIA NIH HHS R37 AG03048NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

backgroundFrailty is associated with lower mean activity; however, hourly activity is highly variable among older individuals. We aimed to relate frailty to hourly activity variance beyond frailty's association with mean activity.

methodUsing the 2010-2011 National Social Life, Health and Aging Project wrist accelerometry data (n = 647), we employed a mixed-effects location scale model to simultaneously determine whether an adapted phenotypic frailty scale (0-4) was associated with the log10-mean hourly counts per minute (cpm) and between-and within-subject hourly activity variability, adjusting for demographics, health characteristics, season, day-of-week, and time-of-day. We tested the significance of a Frailty × Time-of-day interaction and whether adjusting for sleep time altered relationships.

resultsEach additional frailty point was associated with a 7.6% (10-0.0343, β = -0.0343; 95% CI: -0.05, -0.02) lower mean hourly cpm in the morning, mid-day, and late afternoon but not evening. Each frailty point was also associated with a 24.5% (e0.219, β = 0.219; 95% CI: 0.09, 0.34) greater between-subject hourly activity variance across the day; a 7% (e0.07, β = 0.07; 95% CI: 0.01¸ 0.13), 6% (e0.06, β = 0.06; 95% CI: 0, 0.12), and 10% (e0.091, β = 0.091; 95% CI: 0.03, 0.15) greater within-subject hourly activity variance in the morning, mid-day, and late afternoon, respectively; and a 6% (e-0.06, β = -0.06; 95% CI: -0.12, -0.003) lower within-subject hourly activity variance in the evening. Adjusting for sleep time did not alter results.

conclusionsFrail adults have more variable hourly activity levels than robust adults, a potential novel marker of vulnerability. These findings suggest a need for more precise activity assessment in older adults.

Indexed as

ExerciseFrail ElderlyAccelerometryAgedAged, 80 and overFemaleFrailtyGeriatric AssessmentHumansMaleMiddle AgedPhenotypeAccelerometryFrailtyGeriatric assessmentPhysical activityPhysical performance

Identifiers

PMID33049032
PMCPMC8521748
OpenAlexW3092428988

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.