Evidence map›Paper›PMID 40825540›Full record

SynthesisClinical psychology & psychotherapy

Interpersonal Distress as a Covariate of Mental Health in Depression: A Multilevel Meta-Analysis.

Juan Martín Gómez Penedo, Malenka Areas, Cristoph Flückiger

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical psychology & psychotherapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. 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

3 authors.

Juan Martín Gómez PenedoUniversity of Kassel Germany, Kassel, Germany.ORCID https://orcid.org/0000-0001-7304-407X
Malenka AreasUniversidad de Buenos Aires and CONICET, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-4286-9703
Cristoph FlückigerUniversity of Kassel Germany, Kassel, Germany.ORCID https://orcid.org/0000-0003-3058-5815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although empirical studies have shown that interpersonal distress is related to mental health indicators in depression, there are no previous meta-analyses evaluating this association. We performed a systematic review and meta-analytic study to estimate the association between interpersonal distress and non-relational mental health indicators (NR-MHI) in depression. Following PRISMA criteria, we performed a systematic search on PubMed and PsycINFO. We conducted multilevel meta-analytic (i.e., random-effects) models to estimate a pooled correlation coefficient representing the strength of the association between interpersonal distress and NR-MHI. Thirty-eight studies (reporting 88 effect sizes) met inclusion criteria. The models showed a significant correlation between interpersonal distress and NR-MHI (r = 0.41, p < 0.001), with moderate heterogeneity, Q(87) = 710.38, p < 0.001. A funnel plot did not present evidence of publication bias. We found no significant moderation effects of specific depressive diagnoses, type of study or levels of interpersonal distress. This study is the first to report a meta-analytic synthesis of the association between interpersonal distress and NR-MHI in depression, showing that in individuals with depression, NR-MHI was positively associated with interpersonal distress, presenting a medium-to-large pooled effect size.

Indexed as

Depressive DisorderInterpersonal RelationsMental HealthPsychological DistressStress, PsychologicalHumansMultilevel Analysisdepressioninterpersonal distressmental healthmeta‐analysissystematic review

Identifiers

PMID40825540
PMCPMC12360870

What OpenQuestion holds

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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.