Evidence map›Paper›PMID 31963409›Full record

ArticleInternational journal of environmental research and public health2020

The Effect of Age on Gait Speed When Texting.

Linson J Alapatt, Nancye M Peel, Natasha Reid, Leonard C Gray, Ruth E Hubbard

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Texting on a Smartphone While Walking Affects Gait Parameters.International journal of environmental research and public health · 2023
    Article
  7. Risks of Accidents Caused by the Use of Smartphone by Pedestrians Are Task- and Environment-Dependent.International journal of environmental research and public health · 2022
    Article
  8. Mobile Phone Use during Gait: The Role of Perceived Prioritization and Executive Control.International journal of environmental research and public health · 2021
    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

5 authors.

Linson J AlapattDepartment of Health, Queensland Government, Brisbane, QLD 4000, Australia.
Nancye M PeelCentre for Health Services Research, The University of Queensland, Brisbane, QLD 4102, Australia.ORCID 0000-0002-3038-8881
Natasha ReidSchool of Public Health, The University of Queensland, Brisbane, QLD 4006, Australia.ORCID 0000-0002-8528-9741
Leonard C GrayCentre for Health Services Research, The University of Queensland, Brisbane, QLD 4102, Australia.
Ruth E HubbardCentre for Health Services Research, The University of Queensland, Brisbane, QLD 4102, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Texting while walking exerts a high cognitive load, and may be a sensitive test of the integrity of the cognitive-motor interface. We aimed to investigate the association between chronological age and gait speed while texting. A convenience sample of 308 community-dwellers was recruited: n ≥ 50 in each age group (20-29, 30-39, 40-49, 50-59) and n = 100 aged ≥60 years. Gait speed was measured over 10 metres under two experimental conditions: 1) walking at usual pace; 2) walking at usual pace while texting the message "Good morning Harry" on their smartphone. Both median gait speed with and without texting decreased with increasing age (

Indexed as

Text MessagingWalking SpeedAdultAgedAge FactorsFemaleHumansMaleMiddle AgedQueenslandSmartphoneYoung Adultageingdual task testgait speedphysical healthtexting

Identifiers

PMID31963409
PMCPMC7014418

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.