Evidence map›Paper›PMID 35217912›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2022

Interaction of childhood abuse and depressive symptoms on cortical thickness: a general population study.

Sara Voss, Stefan Frenzel, Johanna Klinger-König, Deborah Janowitz, Katharina Wittfeld, Robin Bülow, Henry Völzke, Hans J Grabe

Open access · hybridAbstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Sara VossDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany. sara.voss@stud.uni-greifswald.de.ORCID http://orcid.org/0000-0003-4434-1133
Stefan FrenzelDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
Johanna Klinger-KönigDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
Deborah JanowitzDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
Katharina WittfeldDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
Robin BülowInstitute for Diagnostic Radiology und Neuroradiology, University Medicine Greifswald, Greifswald, Germany.
Henry VölzkeInstitute for Community Medicine, SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Hans J GrabeDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1-2, 17475, Greifswald, Germany.
Universitätsmedizin Greifswald · DE

Funding

Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)RF1AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2018 to 2018
$6.1M
Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)R01AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Stephanie Anne-Carine Debette, Carole Dufouil · 2026 to 2026
$4.7M
Bundesministerium für Bildung und Forschung 01ZZ0103Bundesministerium für Bildung und Forschung 01ZZ0403Bundesministerium für Bildung und Forschung 01ZZ9603EU-JPND Funding for BRIDGET FKZ:01ED1615Ministerium für Wissenschaft, Forschung und Kultur 01ZZ0103Ministerium für Wissenschaft, Forschung und Kultur 01ZZ0403Ministerium für Wissenschaft, Forschung und Kultur 01ZZ9603National Institute of Health (NIH) grant AG059421NIA NIH HHS R01 AG059421NIA NIH HHS RF1 AG059421Siemens Healthineers 01ZZ0103Siemens Healthineers 01ZZ0403Siemens Healthineers 01ZZ9603
6 · The paper itself

Abstract

Childhood abuse was inconsistently related to whole-brain cortical thickness in former studies. However, both childhood abuse and cortical thickness have been associated with depressive symptoms. We hypothesised that childhood abuse moderates the association between depressive symptoms and cortical thickness. In 1551 individuals of the general population, associations between whole-brain cortical thickness and the interaction of childhood abuse (emotional, physical, and sexual) and depressive symptoms were analysed using an ANCOVA. Linear regression analyses were used to estimate the same effect on the cortical thickness of 34 separate regions (Desikan-Killiany-atlas). A significant interaction effect of childhood abuse and depressive symptoms was observed for whole-brain cortical thickness (F(2, 1534) = 5.28, p = 0.007). A thinner cortex was associated with depressive symptoms in abused (t value = 2.78, p = 0.025) but not in non-abused participants (t value = - 1.50, p = 0.224). Focussing on non-depressed participants, a thicker whole-brain cortex was found in abused compared to non-abused participants (t value = - 2.79, p = 0.025). Similar interaction effects were observed in 12 out of 34 cortical regions. Our results suggest that childhood abuse is associated with reduced cortical thickness in subjects with depressive symptoms. In abused subjects without depressive symptoms, larger cortical thickness might act compensatory and thus reflect resilience against depressive symptoms.

Indexed as

Child AbuseDepressionBrainChildEmotionsHumansRegression AnalysisChildhood abuseCortical thicknessDepressive symptomsResilience

Identifiers

PMID35217912
PMCPMC9653317
OpenAlexW4214605225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.