Evidence map›Paper›PMID 34215874›Full record

ReviewEpidemiologic reviews2022

Assessment of Physical Activity in Adults Using Wrist Accelerometers.

Fangyu Liu, Amal A Wanigatunga, Jennifer A Schrack

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Epidemiologic reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06169020 (Design of an Intelligent Wearable to Assess Physical Activity and Health Related Outcomes - the DIWAH Study), which is not on this map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% 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.

NCT06169020 naenrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Design of an Intelligent Wearable to Assess Physical Activity and Health Related Outcomes - the DIWAH Study

TypeinterventionalSponsorLinnaeus UniversityRan2023 to 2027Enrolled50ConditionsHealth PromotionArmsResting and maximal oxygen consumtion, Free living energy expenditure
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Neighborhood Walkability Is Associated With Global Positioning System-Derived Community Mobility of Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

3 authors at 1 institution in 1 country.

Fangyu Liu
Amal A Wanigatunga
Jennifer A Schrack
Johns Hopkins University · US

Funding

The Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research - Research Ed ComponentP30AG059298 · NIA · JOHNS HOPKINS UNIVERSITY · PI Joseph John Gallo, ROLAND J. THORPE · 2018 to 2026
$7.1M
Contribution of sensorimotor function to risk and pathogenic mechanisms of Alzheimer's disease and related dementiasR01AG061786 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGRAWAL, YURI, LIN, FRANK R · 2019 to 2023
$3.7M
Energy Reserves, Physical Activity, and Alzheimer's Disease in the Baltimore Longitudinal Study of AgingU01AG057545 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2017 to 2021
$3.0M
NIA NIH HHS P30 AG059298NIA NIH HHS R01 AG061786NIA NIH HHS U01 AG057545
6 · The paper itself

Abstract

The health benefits of physical activity (PA) have been widely recognized, yet traditional measures of PA, including questionnaires and category-based assessments of volume and intensity, provide only broad estimates of daily activities. Accelerometers have advanced epidemiologic research on PA by providing objective and continuous measurement of PA in free-living conditions. Wrist-worn accelerometers have become especially popular because of low participant burden. However, the validity and reliability of wrist-worn devices for adults have yet to be summarized. Moreover, accelerometer data provide rich information on how PA is accumulated throughout the day, but only a small portion of these rich data have been used by researchers. Last, new methodological developments are emerging that aim to overcome some of the limitations of accelerometers. In this review, we provide an overview of accelerometry research, with a special focus on wrist-worn accelerometers. We describe briefly how accelerometers work; summarize the validity and reliability of wrist-worn accelerometers; discuss the benefits of accelerometers, including measuring light-intensity PA; and discuss pattern metrics of daily PA recently introduced in the literature. A summary of large-scale cohort studies and randomized trials that implemented wrist-worn accelerometry is provided. We conclude the review by discussing new developments and directions of research using accelerometers, with a focus on wrist-worn accelerometers.

Indexed as

AccelerometryWristAdultExerciseHumansReproducibility of ResultsWrist Jointaccelerometrybiasepidemiologic studiesexercisesedentary behavior

Identifiers

PMID34215874
PMCPMC8900289
OpenAlexW3177049393

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.