Evidence map›Paper›PMID 34136338›Full record

ReviewPreventive medicine reports2021

Device-measured sedentary behavior in oldest old adults: A systematic review and meta-analysis.

Katelyn E Webster, Weijiao Zhou, Nancy A Gallagher, Ellen M Lavoie Smith, Neha P Gothe, Robert Ploutz-Snyder, Natalie Colabianchi, Janet L Larson

Abstract readReview
In one paragraph

Review in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors.The international journal of behavioral nutrition and physical activity · 2024
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  4. Review
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  9. Determining minimum number of valid days for accurate estimation of sedentary behaviour and awake-time movement behaviours using the ActivPAL3 in nursing home residents.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
    Article
  10. Article
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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

8 authors.

Katelyn E WebsterUniversity of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI 48109, USA.
Weijiao ZhouUniversity of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI 48109, USA.
Nancy A GallagherUniversity of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI 48109, USA.
Ellen M Lavoie SmithUniversity of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI 48109, USA.
Neha P GotheUniversity of Illinois at Urbana-Champaign College of Applied Health Sciences, 1206 South Fourth St., Champaign, IL 61820, USA.
Robert Ploutz-SnyderUniversity of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI 48109, USA.
Natalie ColabianchiUniversity of Michigan School of Kinesiology, 1402 Washington Heights, Ann Arbor, MI 48109, USA.
Janet L LarsonUniversity of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI 48109, USA.

Funding

Feasibility and Acceptability of an Intervention to Reduce Sedentary Behavior and Increase Light Physical Activity in Assisted Living ResidentsF31NR018784 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEBSTER-DEKKER, KATELYN ELIZABETH · 2020 to 2021
$56k
NINR NIH HHS F31 NR018784
6 · The paper itself

Abstract

Sedentary behavior contributes to health decline and frailty in older adults, especially the oldest old. The purpose of this systematic review was to synthesize evidence describing the volume of device-measured sedentary behavior and factors that influence sedentary behavior in community-dwelling adults aged 80 and older. Four electronic databases were searched in August 2018; the search was updated in September 2019 and December 2020. Twenty-one articles representing 16 unique datasets from six countries met inclusion criteria. Various devices and data processing methods were used to measure sedentary behavior; the most common device was the ActiGraph accelerometer. Sedentary time during the waking day ranged from 7.6 to 13.4 h/day. Studies using similar measurement methods (hip-worn ActiGraph with uniaxial cut-point <100 counts per minute) had a weighted mean of 10.6 h/day. Subgroup analyses revealed that male gender and age ≥85 may contribute to increased sedentary behavior. Only seven individual articles examined factors that influence sedentary behavior in the 80 and older age group; older age, male gender, non-Hispanic white race/ethnicity, social disadvantage, and declining cognitive function (in men) were associated with increased sedentary behavior. In conclusion, the oldest old are highly sedentary and little is known about factors that influence their sedentary behavior.

Indexed as

AccelerometryactivPALOlder adultsPhysical activitySitting

Identifiers

PMID34136338
PMCPMC8181193

What OpenQuestion holds

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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.