ArticleBMC research notes2019
The effects of mobile phone use on walking: a dual task study.
Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effect of mobile phone task and age on gait: A systematic review and meta-analysis.Frontiers in physiology · 2023Pooled it
- Walking with a Passive Hip Exoskeleton and Wearables: Gait Characteristics and Metabolic Power in Senior Adults.Sensors (Basel, Switzerland) · 2025Trial
- The effects of walking speed and mobile phone use on the walking dynamics of young adults.Scientific reports · 2021Trial
- Increased Gait Variability while Texting and Walking with Added Cognitive Loads in Challenging Environments.Journal of musculoskeletal & neuronal interactions · 2026Article
- Smartphone-Based Analysis for Early Detection of Aging Impact on Gait and Stair Negotiation: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2025Article
- Gender Differences in Head and Neck Posture Among Smartphone Users While Walking: Insights from Field Observations in Taipei.Journal of functional morphology and kinesiology · 2024Article
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- Slipping while counting: gaze-gait interactions during perturbed walking under dual-task conditions.Experimental brain research · 2023Article
- Smartphone Use and Postural Balance in Healthy Young Adults.International journal of environmental research and public health · 2020Article
- The Effect of Age on Gait Speed When Texting.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectivesThe aim of this study was to examine the effects of walking at different speeds while using a mobile phone on spatiotemporal stride parameters among young adults. Ten participants (7 male, 3 female; age = 24.7 ± 4.4 years, mean ± 1SD) completed 12 walking trials. Trials consisted of tasks performed at both normal and fast walking speeds-walking only, walking while texting, and walking while talking on a mobile phone. Gait velocity, stride length, cadence, and double support time were computed using data from accelerometers on either shoe.
resultsThe effects of distracted walking were not significantly larger when performed at a self-selected fast walking speed compared with a normal walking speed. However, walking while texting produced significant decreases in gait velocity, stride length, and cadence, with a significant increase in double support time at both walking speeds. Moreover texting increased the size of the relative variability of walking, observed through a significant increase in the coefficient of variation of cadence, stride length, and double support time. The observed changes may be suggestive of compromised balance when walking while texting regardless of walking speed. This may place the individual at a greater risk of, slips, trips and falls.
Indexed as
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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.