Evidence map›Paper›PMID 38196825›Full record

ArticleWork, aging and retirement2024

Electronic Wearable Device Use for Physical Activity in Older Adults: A Qualitative Study.

Mengchi Li, Miranda V McPhillips, Sarah L Szanton, Jennifer Wenzel, Junxin Li

Abstract read
In one paragraph

Article in Work, aging and retirement, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Experiences of technology for increasing physical activity of older adults: a qualitative systematic review and meta-synthesis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Review
  3. Article
  4. Staying engaged: a scoping review of psychological and motivational drivers of adherence to technology-supported physical activity in older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Review
  5. Article
  6. Article
  7. Review
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

5 authors.

Mengchi LiSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-5066-8012
Miranda V McPhillipsSchool of Nursing, University of Pennsylvania, Philadelphia, PA, USA.
Sarah L SzantonSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA.
Jennifer WenzelSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA.
Junxin LiSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA.

Funding

Hopkins Center to Promote resilience in persons and families living with multiple chronic conditions (the PROMOTE Center)P30NR018093 · NINR · JOHNS HOPKINS UNIVERSITY · PI CAMPBELL, JACQUELYN CUTLER · 2018 to 2022
$3.1M
A Personalized Behavioral Intervention to Improve Physical Activity, Sleep and Cognition in Sedentary Older AdultsR00NR016484 · NINR · JOHNS HOPKINS UNIVERSITY · PI LI, JUNXIN · 2019 to 2021
$996k
NINR NIH HHS P30 NR018093NINR NIH HHS R00 NR016484
6 · The paper itself

Abstract

Innovative solutions to help older adults increase physical activity are critically important. In this qualitative study, we explored older adults' acceptance, capability, and experiences of using three different types of electronic wearable devices over a period of 4-24 weeks for self-monitoring and promoting physical activity. We conducted 23 semistructured interviews with older adults who participated in three physical activity intervention studies. Two researchers analyzed the data using NVivo version 12, applying a directed content analysis that was partially guided by the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Six themes emerged: (1) device learning, (2) hedonic motivation, (3) habit and adherence, (4) facilitating conditions, (5) effort expectancy, and (6) performance expectancy. Although most older adults (95.8%) from this study were first-time users, they reflected positive experiences and generally enjoyed using electronic wearable devices. Participants reported issues related to electronic wearable device functionalities that can be improved to better enhance user experience and motivate increased physical activity. Future research should explore the role of electronic wearable devices in older adults' physical activity with an emphasis on behavioral change over time.

Indexed as

electronic wearable devicesolder adultsphysical activity

Identifiers

PMID38196825
PMCPMC10772964

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.