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Smartphones are wrecking teens' sleep, study indicates (opens in a new tab)

medicalxpress.com · 2026-10-21

Short answerEvidenceSource

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Mostly supported

Mostly supported.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 4 supported
  • 1 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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NewsLink checks it

Mostly supported

Every claim we could check holds up. Four of five claims match the study. This overall rating is based only on the claims we could check. One claim the study doesn't address.

  • 4 supported
  • 1 not covered
Open claim evidence
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5 claims in this story

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What the story left out

Important study details the story did not include.

  • Smartphone exposure and sleep outcomes were objectively/passively measured using EARS app smartphone sensing and Fitbit-derived sleep measures.

    The story summary mentions repeated-night data but does not reflect the material measurement detail that phone use was passively sensed and sleep was Fitbit-derived.

    From intensive longitudinal cohort (person-night panel); Intensive longitudinal cohort (person-night panel); within-between m

  • Generalizability may be limited because the analytic sample was restricted to Android users with concurrent EARS app data and Fitbit-measured sleep.

    The story caveats provided do not mention the Android-user restriction or the requirement for concurrent app and wearable data, which are material limitations in the paper profile.

    From intensive longitudinal cohort (person-night panel); Intensive longitudinal cohort (person-night panel); within-between m

6 things the story did carry across
  • The study was an observational intensive longitudinal cohort analysis using person-night data from adolescents in the ABCD Study, not an experiment.
  • The analytic sample comprised 425 adolescents, mean age 14.8 years, contributing 7591 person-nights.
  • Main within-person finding: greater smartphone use after 10 pm than a teen's own average was associated with later sleep onset, later sleep offset, and shorter total sleep time.
  • Adjusted per-minute estimates after 10 pm showed later sleep onset and shorter total sleep time for each additional minute of use above a participant's average.
  • Proximal smartphone use immediately before sleep onset was associated with greater sustained wake after sleep onset, with the largest association for the final 5 minutes and wakefulness concentrated in the first 30 minutes after sleep onset.
  • Causal inference is limited because the evidence comes from an observational cohort analysis.
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study summary

Lead result

secondary data

1Lead resultsecondary dataQuantify within-person and between-person associations between passively sensed cumulative evening smartphone use (hourly cutoffs from 8 pm to midnight) and objectively measured sleep timing and duration outcomes in adolescents.intensive longitudinal cohort (person-night panel)Expand

In plain English

In an intensive longitudinal cohort of 425 ABCD adolescents (7591 person-nights), greater cumulative late-evening smartphone use (hourly cutoffs 8 pm–midnight) was associated within-person with later sleep onset and offset and shorter total sleep time, and smartphone use immediately before sleep onset was associated with increased wake after sleep onset (WASO).

Key findings

  • Within-person: each additional minute of smartphone use after 10 pm above a participant’s own average was associated with later sleep onset, later sleep offset, and shorter total sleep time.Sleep onset +0.87 minutes per additional minute of use (95% CI, 0.84 to 0.90); Sleep offset +0.37 minutes (95% CI, 0.33 to 0.41); TST −0.43 minutes (95% CI, −0.47 to −0.39); all P < .001.
  • Descriptive within-person night-level contrasts: on nights with more-than-usual phone use after 10 pm, adolescents slept less and fell asleep substantially later.Mean difference on such nights: TST −20.05 minutes (SD 49.42); Sleep onset delayed by 64.73 minutes (SD 50.95).
“This intensive longitudinal cohort study assessed passively sensed data from US youths in the Adolescent Brain Cognitive Development Study.”
What this piece can’t prove
  • Observational cohort analysis; causal inference is limited by study design (as described in abstract).
  • Analytic sample limited to Android users with concurrent EARS app data and Fitbit-derived sleep, which may limit generalizability to non-Android users or those without wearable sleep data (sample restriction described in abstract).
2secondary dataAssess whether smartphone use proximal to sleep onset (within 5 to 30 minutes before sleep onset) is associated with objectively measured wake after sleep onset (WASO), including timing of wakefulness concentrated shortly after sleep onset.Intensive longitudinal cohort (person-night panel); within-between multilevel modelsExpand

In plain English

In an intensive longitudinal cohort of adolescents, passively sensed smartphone use in the proximal window before sleep onset (5–30 minutes pre-onset) was associated with greater sustained wake after sleep onset (WASO); the largest association occurred for use in the final 5 minutes before sleep onset (+0.74 minutes of wakefulness), and the increased wakefulness was concentrated in the first 30 minutes after sleep onset.

Key findings

  • Use in the final 5 minutes before sleep onset was associated with greater sustained WASO.+0.74 minutes (95% CI, 0.50 to 0.98) additional wakefulness; P < .001
  • Proximal use considered over the final 20 minutes before sleep onset showed negligible association with WASO.negligible
“Smartphone use ... within 5 to 30 minutes before sleep onset (proximal) were quantified.”
What this piece can’t prove
  • Observational cohort analysis (cannot establish causality).
  • Sample limited to Android-using adolescents with ≥14 days of concurrent EARS app and Fitbit data, which may limit generalizability to non-Android users or other age groups.

1 further detail could not be confirmed from the summary.

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Papers considered

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