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Smartphone screen time fails as a momentary proxy for sedentary behavior because a substantial proportion occurs during non-sedentary behavior

In a sample of 63 adult caregivers, a median of 25.9% of smartphone screen time occurred during non-sedentary behavior, with individual variability ranging from 5.6% to 73.7%. Among non-sedentary screen-use epochs, 52.1% were inactive and 47.9% were active, and app type influenced the proportion of non-sedentary use.

Last updated: Jul 14, 2026•0 RCTs•📖 Read as article →

Evidence Score

Evidence Score32/100
Human RCT☆☆☆☆☆
Meta-analysis☆☆☆☆☆
Mechanism★★★★★
Safety★★★★☆
Confidencelow

Study Evidence

Study 1. Not all screen time is sedentary: evidence from aligned smartphone sensing and accelerometry data in adults.

observational

Culverhouse J, Finnegan OL, Bowen K, Nelakuditi S, Ghosal R, Radesky JS, Adair T, Restino M, White JW, Zhong Z, Hadj-Amar B, Holmes A, Kiely K, Burkart S, Adams EL, Weaver RG, Beets M, Armstrong B · Journal of activity, sedentary and sleep behaviors (2026)

Participants: N/A
Duration: N/A
Intervention: Observation of smartphone screen time and accelerometry data without intervention
Outcome: Proportion of smartphone screen time occurring during sedentary versus non-sedentary behavior
Effect Size: N/A
Population: Adult caregivers of preschool-aged children from an ongoing cohort study

Result:

PubMed: 42426888DOI: 10.1186/s44167-026-00109-y

Mechanism Graph

Smartphone screen time is measured via passive sensing app
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Movement behavior is measured via wrist-worn accelerometer
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Data are aligned at 5-second epochs during waking wear time
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Result: 25.9% of screen time occurs during non-sedentary behavior, indicating screen time is not a reliable proxy for sedentary behavior

Limitations

  • ⚠Small sample size of 63 participants
  • ⚠Sample limited to adult caregivers of preschool-aged children, limiting generalizability

Frequently Asked Questions

What percentage of smartphone screen time was non-sedentary?▼

A median of 25.9% of smartphone screen time occurred during non-sedentary behavior, with a wide range from 5.6% to 73.7% across participants.

Which apps were associated with more non-sedentary screen use?▼

Apps such as Phone, Maps, Camera, and YouTube showed higher proportions of non-sedentary use, while social media applications were predominantly sedentary.

How was screen time and movement behavior measured?▼

Smartphone screen time was objectively assessed using the Android-based passive sensing app Chronicle, and movement behavior was measured using wrist-worn accelerometers with data processed via GGIR and the SedUp algorithm.

What are the implications of these findings?▼

The findings suggest that using smartphone screen time as a proxy for sedentary behavior is inaccurate, which has implications for measurement and interventions targeting sedentary behavior or smartphone use.

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References

  1. 1.Culverhouse J, Finnegan OL, Bowen K, Nelakuditi S, Ghosal R, Radesky JS, Adair T, Restino M, White JW, Zhong Z, Hadj-Amar B, Holmes A, Kiely K, Burkart S, Adams EL, Weaver RG, Beets M, Armstrong B. "Not all screen time is sedentary: evidence from aligned smartphone sensing and accelerometry data in adults.." Journal of activity, sedentary and sleep behaviors, 2026. PMID: 42426888 DOI: 10.1186/s44167-026-00109-y
Disclaimer: This content is for educational purposes only and is not medical advice. Evidence scores reflect the quality and quantity of available research, not clinical recommendations. Always consult a healthcare professional before starting any supplement or intervention.