Evidence map›Paper›PMID 31995664›Full record

ArticleDepression and anxiety2020

Interpersonal life stress, inflammation, and depression in adolescence: Testing Social Signal Transduction Theory of Depression.

George M Slavich, Matteo Giletta, Sarah W Helms, Paul D Hastings, Karen D Rudolph, Matthew K Nock, Mitchell J Prinstein

Open access · bronzeAbstract read
In one paragraph

Article in Depression and anxiety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
4.9field-weighted citation impact, top 3% of its field
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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Interplay between Stressful Life Events and Interleukin-1β on 12-week Antidepressant Response in Depressive Patients.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

7 authors at 6 institutions in 2 countries.

George M SlavichCousins Center for Psychoneuroimmunology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California.ORCID 0000-0001-5710-3818
Matteo GilettaDepartment of Developmental Psychology, Tilburg University, Tilburg, The Netherlands.
Sarah W HelmsDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Paul D HastingsCenter for Mind & Brain and Department of Psychology, University of California, Davis, California.
Karen D RudolphDepartment of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois.
Matthew K NockDepartment of Psychology, Harvard University, Cambridge, Massachusetts.
Mitchell J PrinsteinDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · USHarvard University · USTilburg University · NLUniversity of California, Davis · USUniversity of California, Los Angeles · USUniversity of Illinois Urbana-Champaign · US

Funding

Stress Responses as Prospective Predictors of Girls' Suicidality and Self-InjuryR01MH085505 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NOCK, MATTHEW K, PRINSTEIN, MITCHELL J · 2010 to 2014
$3.1M
Neural, Inflammatory, and Genomic Mechanisms Underlying Risk for Depression in AdolescenceK08MH103443 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SLAVICH, GEORGE MICHAEL · 2015 to 2018
$772k
EPA EP-C-15-004NIMH NIH HHS K08 MH103443NIMH NIH HHS R01 MH085505
6 · The paper itself

Abstract

backgroundDepression rates increase markedly for girls across the adolescent transition, but the social-environmental and biological processes underlying this phenomenon remain unclear. To address this issue, we tested a key hypothesis from Social Signal Transduction Theory of Depression, which posits that individuals who mount stronger inflammatory responses to social stress should exhibit greater increases in depressive symptoms following interpersonal life stress exposure than those who mount weaker inflammatory responses to such stress.

methodParticipants were 116 adolescent girls (M

resultsAs hypothesized, greater interpersonal life stress exposure was associated with significant increases in depression over time, but only for girls exhibiting stronger salivary tumor necrosis factor-α and interleukin-1β reactivity to social stress. In contrast, noninterpersonal stress exposure was unrelated to changes in depression longitudinally, both alone and when combined with youths' cytokine reactivity scores. DISCUSSION: These results are consistent with Social Signal Transduction Theory of Depression and suggest that heightened inflammatory reactivity to social stress may increase adolescents' risk for depression. Consequently, it may be possible to reduce depression risk by modifying inflammatory responses to social stress.

Indexed as

Interpersonal RelationsModels, PsychologicalAdolescentChildDepressionFemaleHumansInflammationInterleukin-1betaInterviews as TopicMalePsychopathologySalivaStress, PsychologicalTumor Necrosis Factor-alphaIL1B protein, humanInterleukin-1betaTumor Necrosis Factor-alphacytokinesdevelopmentdiseaseinflammationmajor depressive disorderrisksocial stressvulnerability

Identifiers

PMID31995664
PMCPMC7000138
OpenAlexW3003534428

What OpenQuestion 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 OpenQuestion graph.