Evidence map›Paper›PMID 37779789›Full record

ArticleCureus2023

Association Between Wearable Device Use and Levels of Physical Activity Among Older Adults in the US: Evidence From the 2019-2020 Health Information National Trends Survey.

Anita O Onyekwere, Okelue E Okobi, Francis C Ifiora, Micheal K Akinboro, Ngozi T Akueme, Joy Iroro, Abigail O Dan-Eleberi, Faith C Onyeaka, Aba Amoasiwah Ghansah

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 9 institutions in 5 countries.

Anita O OnyekwereSchool of Medicine, Richmond Gabriel University, Kingstown, VCT.
Okelue E OkobiFamily Medicine, Larkin Community Hospital Palm Springs Campus, Miami, USA.
Francis C IfioraPharmacy, University of Texas Health Science Center at Houston, Houston, USA.
Micheal K AkinboroEpidemiology and Biostatistics, Texas A&M Health School of Public Health, College Station, USA.
Ngozi T AkuemeDermatology, University of Medical Sciences (UNIMED), Ondo, NGA.
Joy IroroInternal Medicine, All Saints University School of Medicine, Roseau, DMA.
Abigail O Dan-EleberiInternal Medicine, University of Ghana Medical School, Accra, GHA.
Faith C OnyeakaHaematology/Blood Transfusion Science, Madonna University, Calabar, NGA.
Aba Amoasiwah GhansahInternal Medicine, Kwame Nkrumah University of Science and Technology, Accra, GHA.
All Saints Hospital · ZAKwame Nkrumah University of Science and Technology · GHNational Blood Transfusion Service · NGOlusegun Agagu University of Science and Technology · NGPalm Springs General Hospital · USTexas A&M Health Science Center · USThe University of Texas Health Science Center at Houston · USUniversity of Ghana · GHUniversity of Richmond · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To examine the relationship between electronic wearable device (WD) use and physical activity (PA) levels among older adults in the US. Methods Data were pooled from 3310 older adults from the 2019 and 2020 Health Information National Trends Survey. The explanatory variable was WD use, and the outcomes were weekly PA levels, resistance training, and sedentary time. Logistic regression was conducted to investigate the association between WD use and the reported outcome variables. Separate logistic models were also fitted to explore the relationship between WD use and physical activity outcomes among a subgroup of older adults with chronic conditions. Results A total of 14.4% of older adults reported WD use. Older adults who use WD were more likely to meet national guidelines for weekly levels of PA (odds ratio (OR) 1.60, 95% confidence intervals (CI) (1.10, 2.32); p = 0.015) and resistance strength training (OR 1.54, 95% CI (1.14, 2.09); p = 0.005) when compared with their counterparts not using WD. After restricting the analysis to those with chronic conditions only, WD use was only associated with a higher level of weekly strength training (OR 1.68, 95% CI 1.19, 2.38; p = 0.004). Conclusion  WD use may be associated with increased physical activity among older adults, including those with chronic health conditions. Further studies are needed to examine the factors influencing the adoption and sustained use of WD in older adults.

Indexed as

activityassociationelderlyolder adultsphysical activityususawearable device

Identifiers

PMID37779789
PMCPMC10533366
OpenAlexW4386208424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.