Evidence map›Paper›PMID 40442251›Full record

ArticleNPJ digital medicine2025

Smartphone screen time and suicide risk in daily life captured through high-resolution screenshot data.

Ross Jacobucci, Miguel Blacutt, Nilàm Ram, Brooke A Ammerman

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ross JacobucciCenter for Healthy Minds, University of Wisconsin Madison, Madison, WI, USA. jacobucci@wisc.edu.
Miguel BlacuttDepartment of Psychology, University of Notre Dame, Notre Dame, IN, USA.
Nilàm RamDepartment of Psychology, Department of Communication, Stanford University, Stanford, CA, USA.
Brooke A AmmermanDepartment of Psychology, University of Wisconsin Madison, Madison, WI, USA.

Funding

Advancing Real-Time Suicide Risk Detection Through the Digital Phenotyping Smartphone Application ScreenomicsR21MH129688 · NIMH · UNIVERSITY OF NOTRE DAME · PI AMMERMAN, BROOKE A, JACOBUCCI, ROSS · 2022 to 2023
$430k
NIH HHS R21MH129688.NIMH NIH HHS R21 MH129688
6 · The paper itself

Abstract

Suicide rates are rising in the U.S., prompting interest in contributing factors like smartphone use. While screen time has been linked to mental health, its role in suicide risk is unclear. This study examined bidirectional associations between smartphone screen time and suicide risk in 79 adults with recent suicidal thoughts or behaviors. Over 28 days, participants provided ecological momentary assessments (EMA) of suicide risk six times daily and contributed ~7.5 million screenshots, collected every 5 seconds during phone use. Within-person increases in screen time were linked to elevated suicide risk in the following three hours, while screen time more than three hours prior predicted reduced planning and desire. Suicide risk also predicted subsequent screen time, and screen time was associated with greater EMA response rates. Findings suggest screen time may indicate both distress and coping, depending on context. These insights could inform real-time monitoring tools for suicide prevention and adaptive intervention strategies.

Identifiers

PMID40442251
PMCPMC12122703

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.