Evidence map›Paper›PMID 27134654›Full record

ArticleMental health and physical activity2016

Wearable Devices and Smartphones for Activity Tracking Among People with Serious Mental Illness.

John A Naslund, Kelly A Aschbrenner, Stephen J Bartels

Abstract read
In one paragraph

Article in Mental health and physical activity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 9 pooled it
23.7field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 9 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Trial
  13. Smart wearable devices as a psychological intervention for healthy lifestyle and quality of life: a randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Trial
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

John A NaslundHealth Promotion Research Center at Dartmouth, Lebanon, NH; The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Lebanon, NH.
Kelly A AschbrennerHealth Promotion Research Center at Dartmouth, Lebanon, NH; The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Lebanon, NH; Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH.
Stephen J BartelsHealth Promotion Research Center at Dartmouth, Lebanon, NH; The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Lebanon, NH; Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH; Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH.
Dartmouth College · US

Funding

Health Promotion and Disease Prevention Research CenterU48DP005018 · DP · DARTMOUTH COLLEGE · PI ADACHI-MEJIA, ANNA MARIA · 2014 to 2018
$5.6M
Statewide Intervention to Reduce Early Mortality in Persons with Mental IllnessR01MH089811 · NIMH · DARTMOUTH COLLEGE · PI BARTELS, STEPHEN J · 2010 to 2014
$2.7M
ACL HHS U48DP005018NCCDPHP CDC HHS U48 DP005018NIMH NIH HHS R01 MH089811
6 · The paper itself

Abstract

introductionPeople with serious mental illness, including schizophrenia spectrum and mood disorders, are more physically inactive than people from the general population. Emerging wearable devices and smartphone applications afford opportunities for promoting physical activity in this group. This exploratory mixed methods study obtained feedback from participants with serious mental illness to assess the acceptability of using wearable devices and smartphones to support a lifestyle intervention targeting weight loss.

methodsParticipants with serious mental illness and obesity enrolled in a 6-month lifestyle intervention were given Fitbit activity tracking devices and smartphones to use for the study. Participants completed quantitative post-intervention usability and satisfaction surveys, and provided qualitative feedback regarding acceptability of using these devices and recommendations for improvement through in-depth interviews.

resultsEleven participants wore Fitbits for an average of 84.7% (SD=18.1%) of the days enrolled in the study (median=93.8% of the days enrolled, interquartile range=83.6-94.3%). Participants were highly satisfied, stating that the devices encouraged them to be more physically active and were useful for self-monitoring physical activity and reaching daily step goals. Some participants experienced challenges using the companion mobile application on the smartphone, and recommended greater technical support, more detailed training, and group tutorials prior to using the devices. DISCUSSION: Participants' perspectives highlight the feasibility and acceptability of using commercially available mHealth technologies to support health promotion efforts targeting people with serious mental illness. This study offers valuable insights for informing future research to assess the effectiveness of these devices for improving health outcomes in this high-risk group.

Indexed as

Fitbitmental illnessmHealthphysical activitysmartphonewearable device

Identifiers

PMID27134654
PMCPMC4845759
OpenAlexW2274180408

What OpenQuestion holds

Textmetadata
LicenceTDM
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.