Evidence map›Paper›PMID 39368972›Full record

ArticleSchizophrenia (Heidelberg, Germany)2024

Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community.

Samuel J Abplanalp, Michael F Green, Jonathan K Wynn, Naomi I Eisenberger, William P Horan, Junghee Lee, Amanda McCleery, David J Miklowitz, L Felice Reddy, Eric A Reavis

Abstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact of early social isolation on social circuits and behavior: relevance to schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. 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

10 authors.

Samuel J AbplanalpVA Greater Los Angeles Healthcare System, Los Angeles, CA, USA. sabplanalp@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-2894-5607
Michael F GreenVA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Jonathan K WynnVA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-1763-8540
Naomi I EisenbergerDepartment of Psychology, UCLA, Los Angeles, CA, USA.
William P HoranDepartment of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Junghee LeeDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID http://orcid.org/0000-0001-9567-8700
Amanda McCleeryDepartment of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
David J MiklowitzDepartment of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
L Felice ReddyVA Rehabilitation R&D Center on Enhancing Community Integration for Homeless Veterans, Los Angeles, CA, USA.
Eric A ReavisVA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-9843-9139

Funding

The Determinants of Social Disconnectedness: A Spectrum from the General Community to Severe Mental IllnessR01MH110470 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREEN, MICHAEL F. · 2016 to 2020
$2.6M
NIMH NIH HHS R01 MH110470
6 · The paper itself

Abstract

Social disconnection, including objective social isolation and subjective loneliness, is linked to substantial health risks. Yet, little is known about the predictors of social disconnection in individuals with mental illness. Here, we used machine learning to identify predictors of social isolation and loneliness in schizophrenia (N = 72), a psychiatric condition associated with social disconnection. For comparison, we also included two other groups: a psychiatric comparison sample of bipolar disorder (N = 48) and a community sample enriched for social isolation (N = 151). We fitted statistical models of social isolation and loneliness within and across groups. Each model included five candidate predictors: social avoidance motivation, depression, nonsocial cognition, social anhedonia, and social cognition. The results showed that social anhedonia explained unique variance in social isolation and loneliness in all samples, suggesting that it contributes to social isolation and loneliness broadly. However, nonsocial cognition explained unique variance in social isolation only within schizophrenia. Thus, social anhedonia could be a potential intervention target across populations, whereas nonsocial cognition may play a unique role in determining social disconnection in schizophrenia.

Identifiers

PMID39368972
PMCPMC11455897

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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.