CHAMGAP
APPROVEDReviewed and approved by the Chamgap Editorial Team (2026-08-05). The draft was written by AI, the existence of all 1 cited sources was verified at the original page, and the verdict passed blind grading and adversarial audit. Methodology v0.6.
Verdict No. 2258 · Search date 2026-08-05 · Methodology v0.6

Smartphone use while walking,
does it really help with Reduced gait stability?

30-Second Summary
C
Evidence Grade C · 59 · Safety caution
Walking with a phone changes gait substantially, but this meta-analysis did not test actual accident rates
Stop manipulating a phone where environmental awareness and stable gait are essential, including roads, stairs, and crossings. Extra caution is warranted for people with balance impairment.
What the
research shows
The grade is C. In a meta-analysis of 22 observational cross-sectional studies and 592 participants, gait velocity was 1.45 SD slower, 95% CI 1.24-1.66 slower, and step length was 1.01 SD shorter while using a phone. These are large changes, but the meta-analysis included single-session gait parameters rather than incidence of traffic crashes, collisions, injuries, or falls.
What the
ads claim
Slower speed and longer support time are measured facts, but they cannot be converted into a claimed multiple of accident risk. Real-road events and long-term falls require separate evidence.
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Useful facts when choosing a product

  • Investigators assigned phone tasks and compared them with no-phone walking.
  • Pooled outcomes were measured gait parameters, not crashes, collisions, injuries, or falls.
  • Egger P was .094 for gait velocity and .522 for step length, while step-length heterogeneity was 82%.
Gap Measurement · Verdict 2258 · C 59
What advertising claims
What independent, higher-quality research supports
△ GAP
01

What the research actually shows

The meta-analysis registered as PROSPERO CRD42022358963 included 22 studies, 592 participants, and 10 countries. With phone use, gait velocity SMD was -1.45, 95% CI -1.66 to -1.24, I-squared 66%; step length -1.01, -1.43 to -0.59, I-squared 82%; and double-support time +1.09, 0.86-1.31, I-squared 42%. Texting and reading affected velocity, whereas calling, talking, and dialing were null for some outcomes. The pooled endpoints were gait parameters, not crashes or falls.

02

Why this is classified as C (59)

Twenty-two observational cross-sectional studies show large objective gait changes, but brief, small-study designs and surrogate rather than event outcomes give C with 59 points.

Counterpoint. Slower, wider-support gait may partly represent cautious compensation. Accident incidence cannot be calculated from these data.

Rejudgment record. Cross-check applied — Used the source classification of observational cross-sectional designs, verified PROSPERO registration, pooled estimates, and heterogeneity, and separated measured gait parameters from accident events absent from this meta-analysis

Scoring profile behind this grade
EndpointSSurrogate marker - laboratory or imaging measures
ReplicationR1Single confirmatory trial
IndependenceI1Mixed funding sources
Effect sizeE+Meets the clinically important threshold

The scoring table and the verdict agree (C).

Sub-claim grades by effect

This ingredient is marketed for several effects. A single overall grade blends strong and weak claims together, so each effect is graded separately here. The overall grade reflects the strongest disconfirming or core claim.

Effect (sub-claim)GradeBasis
Reduced gait velocityCSMD was -1.45 with I-squared 66%.
Shorter step lengthCSMD was -1.01 with I-squared 82%.
More actual crashes or falls?The meta-analysis did not pool event incidence.

Cross-check — Codex and Claude

This verdict was drafted by Codex through literature review and source-existence checks, cross-checked through blind grading and adversarial audit, and settled by reapplying the methodology boundary rules. Cases with split grades were resolved through rejudgment.
03

Evidence Table

StudyDesignSampleFundingEndpointResultWeight
Study 1Systematic review and meta-analysis of observational cross-sectional designs592Cross-disciplinary projects 2021JC011; funding of included studies was not consolidatedGait velocity, step length, and support timeVelocity SMD -1.45 (-1.66 to -1.24); step length -1.01 (-1.43 to -0.59)Large objective gait effects, but this meta-analysis did not use actual events as endpoints
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Receipt — 1 References

All 1 cited sources were verified for existence at the original page (as of 2026-08-05).

Zhang X, Li Q, Gao P, et al. Front Physiol. 2023;14:1163655. PMID: 37082239. DOI: 10.3389/fphys.2023.1163655.
checked
Draft and rewrite: Codex (AI) · Verification: Codex blind grading and adversarial audit · Final adjudication: Claude
Reviewed and approved: Chamgap Editorial Team · Approval date: 2026-08-05 · Corrections: none

Cite this verdict

Smartphone use while walking x gait stability Evidence Grade C card
[Chamgap] Smartphone use while walking x gait stability — Evidence Grade C·59. 1 cited sources checked. Source: https://chamgap.com/en/verdicts/general/smartphone-use-while-walking-gait-stability/ · CC BY 4.0

CC BY 4.0 — free to use with attribution; do not distort grades, numbers, or verdict meaning.

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