Evidence map›Paper›PMID 39023923›Full record

ArticleJournal of psychopathology and clinical science2024

Identifying factors impacting missingness within smartphone-based research: Implications for intensive longitudinal studies of adolescent suicidal thoughts and behaviors.

Paul A Bloom, Ranqing Lan, Hanga Galfalvy, Ying Liu, Alma Bitran, Karla Joyce, Katherine Durham, Giovanna Porta, Jaclyn S Kirshenbaum, Rahil Kamath and 9 more

Abstract read
In one paragraph

Article in Journal of psychopathology and clinical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Understanding sleep and smartphone use in diverse adolescents through passive digital monitoring.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026
    Article
  6. Article
  7. Article
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  9. Article
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  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Unobtrusive inference of circadian rhythms from smartphone data.medRxiv : the preprint server for health sciences · 2025
    Article
  20. Article
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

19 authors.

Paul A BloomDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0003-3970-5721
Ranqing LanDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.
Hanga GalfalvyDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0001-7156-6106
Ying LiuDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.
Alma BitranDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.
Karla JoyceDepartment of Psychiatry, University of Pittsburgh Medical Center.
Katherine DurhamDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.
Giovanna PortaWestern Psychiatric Hospital, University of Pittsburgh Medical Center.
Jaclyn S KirshenbaumDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0001-8685-5840
Rahil KamathDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.
Trinity C TseDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.
Lauren ChernickDepartment of Emergency Medicine, Columbia University Medical Center.
Lauren E KahnKsana Health.
Ryann CrowleyKsana Health.
Esha TrivediDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0009-0003-5658-5546
David BrentDepartment of Psychiatry, University of Pittsburgh Medical Center.ORCID 0000-0002-5756-2157
Nicholas B AllenDepartment of Psychology, University of Oregon.ORCID 0000-0002-1086-6639
David PagliaccioDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0002-1214-1965
Randy P AuerbachDepartment of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0003-2319-4744

Funding

Translational Research Training in Child PsychiatryT32MH016434 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Cristiane S. Duarte, Kate Dimond Fitzgerald · 1985 to 2026
$10.9M
MAPS: Mobile Assessment for the Prediction of SuicideU01MH116923 · NIMH · UNIVERSITY OF OREGON · PI ALLEN, NICHOLAS B, AUERBACH, RANDY PATRICK · 2018 to 2022
$3.6M
American Foundation for Suicide PreventionBeckwith FoundationMorgan Stanley FoundationNIMH NIH HHS T32 MH016434NIMH NIH HHS U01 MH116923Once Upon a Time FoundationTommy Fuss Fund
6 · The paper itself

Abstract

Intensive longitudinal research-including experience sampling and smartphone sensor monitoring-has potential for identifying proximal risk factors for psychopathology, including suicidal thoughts and behaviors (STB). Yet, missing data can complicate analysis and interpretation. This study aimed to address whether clinical and study design factors are associated with missing data and whether missingness predicts changes in symptom severity or STB. Adolescents ages 13- to 18 years old (

Indexed as

SmartphoneSuicidal IdeationAdolescentAdolescent BehaviorEcological Momentary AssessmentFemaleHumansLongitudinal StudiesMaleResearch DesignSubstance-Related DisordersSuicide, Attempted

Identifiers

PMID39023923
PMCPMC12083753

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.