Evidence map›Paper›PMID 32685614›Full record

ArticleInternational journal of nursing sciences2020

Wearable activity trackers and health awareness: Nursing implications.

Karen-Leigh Edward, Loretta Garvey, Muhammad Aziz Rahman

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in International journal of nursing sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06843187 (Lemborexant for the Treatment of Residual Insomnia in Adequately Treated Major Depressive Disorder), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT06843187 phase2terminatednot on this mapstarted 2024, after this paper: background citation

Lemborexant for the Treatment of Residual Insomnia in Adequately Treated Major Depressive Disorder: A Pilot Randomized Controlled Trial

TypeinterventionalSponsorUnity Health TorontoRan2024 to 2026Enrolled30ConditionsMajor Depressive Disorder(MDD), Insomnia Comorbid to Psychiatric DisorderArmsLemborexant, Placebo
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Karen-Leigh EdwardDepartment of Health Professions, School of Health Sciences, Faculty of Health, Arts and Design, Swinburne University of Technology, Australia.
Loretta GarveyDepartment of Health Professions, School of Health Sciences, Faculty of Health, Arts and Design, Swinburne University of Technology, Australia.
Muhammad Aziz RahmanSchool of Nursing and Healthcare Professions, Federation University, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWearable devices are commonly used to measure physical activity. However, it remains unclear the effect of wearing these devices on health awareness. Our aim was to provide evidence related to wearing physical activity trackers and health awareness.

methodsA quantitative comparison study design was used comparing participants who wore physical activity tracking devices (

resultsA difference between participants who wore physical activity tracking devices and those that did not was identified in relation to activity levels and physical health awareness. Wearable devices are suggested as an opportunity for nurses to engage people in physical activity with the potential to improve their health awareness.

conclusionsNurses are well placed in the healthcare landscape to work with patients who own an activity tracker device concerning increasing activity self-monitoring. This information the patient has from the device can also form the basis of health discussions between nurses and the people in their care.

Indexed as

ExerciseFitness trackersHealth behaviourHealth literacyWearable electronic devices

Identifiers

PMID32685614
PMCPMC7355185

What OpenQuestion holds

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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.