Evidence map›Paper›PMID 42799903›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2026

The role of social support in transdiagnostic symptom networks in affective and psychotic disorders: a cross-sectional and longitudinal network analysis.

Rui Tan, Frederike Stein, Lea Teutenberg, Florian Thomas-Odenthal, Paula Usemann, Nooshin Javaheripour, Rieke Roxanne Mülfarth, Svenja Seuffert, Yuke Shen, Zirong Qian and 13 more

Abstract read
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Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Rui TanDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany. Tanru@students.uni-marburg.de.ORCID https://orcid.org/0009-0001-8195-0109
Frederike SteinDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany. frederike.stein@staff.uni-marburg.de.
Lea TeutenbergDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Florian Thomas-OdenthalDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Paula UsemannDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Nooshin JavaheripourDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Rieke Roxanne MülfarthDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Svenja SeuffertDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Yuke ShenDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Zirong QianDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Tim HahnInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Susanne MeinertInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Kira FlinkenflügelInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Tiana BorgersInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Dominik GrotegerdInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Elisabeth J LeehrInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Hamidreza JamalabadiDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Igor NenadićDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Benjamin StraubeDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Stefan G HofmannDepartment of Psychology, Marburg University, Marburg, Germany.
Nina AlexanderDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.
Udo DannlowskiInstitute for Translational Psychiatry, University of Münster, Münster, Germany.
Tilo KircherDepartment of Psychiatry and Psychotherapy, Faculty of Medicine, Marburg University, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symptoms and psychosocial factors interact dynamically across affective and psychotic disorders, yet longitudinal evidence remains limited. Building on the network theory of psychopathology, this study conceptualizes mental disorders as systems shaped by symptom-environment interactions. Using data from a two-site German cohort (N = 2743), we examined 36 psychopathological symptoms and 11 psychosocial factors using cross-sectional and longitudinal analyses. At baseline, transdiagnostic symptom networks were estimated and compared between patients with affective or psychotic disorders (N = 1569) and healthy controls (N = 1174). In addition, a separate baseline network including both symptom and psychosocial nodes (N = 1462) was estimated to identify psychosocial bridge variables, and a temporal symptom-psychosocial cross-lagged panel network (N = 642) was used to examine prospective associations over a two-year follow-up. The baseline transdiagnostic symptom network was denser in patients than in healthy controls. In the baseline symptom-psychosocial network, perceived stress and social support emerged as key psychosocial bridge variables. In the longitudinal cross-lagged panel network, social support showed the strongest overall predictive associations with follow-up nodes among psychosocial variables. These findings suggest that social support may be closely linked to symptom-environment associations across affective and psychotic disorders and warrant further investigation as a potentially modifiable psychosocial factor in transdiagnostic intervention research.

Indexed as

Affective disordersNetwork analysisPsychosocial processesPsychotic disordersTransdiagnostic

Identifiers

PMID42799903

What Socratic 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 Socratic graph.