CHAMGAP
VERIFIEDPassed the Codex final verification and publication gate. Evidence-verification cutoff: 2026-08-05. AI was used for research and drafting; the existence of all 1 cited sources was verified at the original page, followed by blind grading, adversarial audit, and build validation. Methodology v1.0.
Verdict No. 2258 · Search date 2026-08-05 · Methodology v1.0

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

30-Second Summary
C
Evidence Grade C · 50 · 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%.
ID

Chamgap Semantic Classification Code

Candidate index · review held

X.smartphone-dual-tasks-such.behavioral.gait-stability.reduce.UNK

Behaviors, exposures and policies > Smartphone dual tasks such > Behavioral delivery > gait stability > Reduction claim > Unknown

An automated migration candidate, not an issued permanent code; exact claim scope remains under review. This machine-generated migration candidate helps retrieval but is not a permanent assignment. The original verdict ID and URL remain authoritative.

Download semantic index (JSON) · Codebook v1

Gap Measurement · Verdict 2258 · C 50
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 (50)

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 50 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

Stored scoring profile
EndpointSSurrogate marker - laboratory or imaging measures
ReplicationR1Single confirmatory trial
IndependenceI1Mixed funding sources
Effect sizeE+Meets the clinically important threshold

Stored derived and displayed grades match; this is not a current recalculation or validity check (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 — AI research and Codex final gate

AI was used for research and drafting. Blind grading, adversarial audit, and the methodology boundary rules were then reapplied before Codex performed the final evidence, grade, copy, and build checks. If a grade cannot be narrowed, both evidence positions and their reasons are published.
03

Evidence Table

StudyDesignSampleFundingEndpointResultWeight
Zhang et al. 2023Systematic review and meta-analysis of observational cross-sectional designs22 studies and 592 participantsCross-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
Research and draft: AI used · Cross-check: blind grading and adversarial audit
Final verification and publication gate: Codex · Evidence 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·50. 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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