Evidence map›Paper›PMID 38922462›Full record

ArticleResearch on child and adolescent psychopathology2024

Back to Normal? Harnessing Long Short-term Memory Network to Examine the Associations Between Adolescent Social Interactions and Depressive Symptoms During Different Stages of COVID-19.

Reuma Gadassi Polack, Adam Zhang, Hedy Kober, Jutta Joormann, Hadas Benisty

Abstract read
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In one paragraph

Article in Research on child and adolescent psychopathology, 2024. 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. Changes in emotional granularity under a population-level stressor predict social anxiety and depressive symptoms.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026
    Article
  2. Article
  3. Networks of guilt, shame, pride, and disordered eating in youths show stability over time.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2025
    Article
  4. 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

5 authors.

Reuma Gadassi Polack *Department of Psychiatry, Yale University, New Haven, USA. reuma.gadassi@gmail.com.ORCID 0000-0002-7936-0679
Adam Zhang *Department of Psychology, Yale University, New Haven, USA. adamzhang0214@gmail.com.ORCID 0000-0002-2751-2503
Hedy KoberDepartment of Psychiatry, Yale University, New Haven, USA.
Jutta JoormannDepartment of Psychology, Yale University, New Haven, USA.
Hadas BenistyTechnion - Israel Institute of Technology, Faculty of Medicine, Haifa, Israel. hadasbe@technion.ac.il.ORCID 0000-0001-6308-2267

Funding

Emotion Dysregulation in Adolescents at Risk for Depression: The Interpersonal ContextR21MH119552 · NIMH · YALE UNIVERSITY · PI JOORMANN, JUTTA, KOBER, HEDY · 2020 to 2021
$461k
HORIZON EUROPE Marie Sklodowska-Curie Actions 786064National Institute of Mental Health and Neurosciences MH119552National Institute of Mental Health and Neurosciences MH18268
6 · The paper itself

Abstract

Adolescence is a developmental period in which social interactions are critical for mental health. While the onset of COVID-19 significantly disrupted adolescents' social environments and mental health, it remains unclear how adolescents have adapted to later stages of the pandemic. We harnessed a machine learning architecture of Long Short-Term Memory recurrent networks (LSTM) with gradient-based feature importance, to model the association among daily social interactions and depressive symptoms during three stages of the pandemic. A year before COVID-19, 148 adolescents reported social interactions and depressive symptoms, every day for 21 days. One hundred sixteen of these youths completed a 28-day diary after schools closed due to COVID-19. Seventy-nine of these youths and additional 116 new participants completed a 28-day diary approximately a year into the pandemic. Our results show that LSTM successfully predicted depressive symptoms from at least a week of social interactions for all three waves (r

Indexed as

COVID-19DepressionSocial InteractionAdolescentFemaleHumansMachine LearningMaleSARS-CoV-2AdolescentsCOVID-19DepressionLong short-term memorySocial interactions

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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.