Evidence map›Paper›PMID 37872216›Full record

ArticleTranslational psychiatry2023

Interrelations of resilience factors and their incremental impact for mental health: insights from network modeling using a prospective study across seven timepoints.

Sarah K Schäfer, Jessica Fritz, M Roxanne Sopp, Angela M Kunzler, Lisa von Boros, Oliver Tüscher, Anja S Göritz, Klaus Lieb, Tanja Michael

Abstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Which resilience-related factors are important for anxiety, depression, and stress in cancer caregivers?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  7. Neural signatures of human psychological resilience driven by acute stress.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

9 authors.

Sarah K SchäferLeibniz Institute for Resilience Research, Mainz, Germany.ORCID 0000-0001-9885-3252
Jessica FritzDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
M Roxanne SoppDepartment of Clinical Psychology and Psychotherapy, Saarland University, Saarbrücken, Germany.
Angela M KunzlerLeibniz Institute for Resilience Research, Mainz, Germany.
Lisa von BorosLeibniz Institute for Resilience Research, Mainz, Germany.
Oliver TüscherLeibniz Institute for Resilience Research, Mainz, Germany.
Anja S GöritzBehavioral Health Technology, Augsburg University, Augsburg, Germany.ORCID 0000-0002-4638-0489
Klaus LiebLeibniz Institute for Resilience Research, Mainz, Germany.
Tanja MichaelDepartment of Clinical Psychology and Psychotherapy, Saarland University, Saarbrücken, Germany. t.michael@mx.uni-saarland.de.ORCID 0000-0002-2409-3817

Funding

EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj) 84009588
6 · The paper itself

Abstract

Resilience can be viewed as trajectory of stable good mental health or the quick recovery of mental health during or after stressor exposure. Resilience factors (RFs) are psychological resources that buffer the potentially negative effects of stress on mental health. A problem of resilience research is the large number of conceptually overlapping RFs complicating their understanding. The current study sheds light on the interrelations of RFs in the face of the COVID-19 pandemic as a use case for major disruptions. The non-preregistered prospective study assessed a sample of 1275 German-speaking people from February 2020 to March 2021 at seven timepoints. We measured coping, hardiness, control beliefs, optimism, self-efficacy, sense of coherence (SOC), sense of mastery, social support and dispositional resilience as RFs in February 2020, and mental health (i.e., psychopathological symptoms, COVID-19-related rumination, stress-related growth) at all timepoints. Analyses used partial correlation network models and latent growth mixture modeling (LGMM). Pre-pandemic RFs were strongly interrelated, with SOC being the most central node. The strongest associations emerged between coping using emotional support and social support, SOC and sense of mastery, and dispositional resilience and self-efficacy. SOC and active coping were negatively linked. When we examined RFs as predictors of mental health trajectories, SOC was the strongest predictor of psychopathological symptoms and rumination, while trajectories of stress-related growth were predicted by optimism. Subsequent network analyses, including individual intercepts and slopes from LGMM, showed that RFs had small to moderate associations with intercepts but were unrelated to slopes. Our findings provide evidence for SOC playing an important role in mental distress and suggest further examining SOC's incremental validity. However, our results also propose that RFs might be more important for stable levels of mental health than for adaptation processes over time. The differential associations for negative and positive outcomes support the use of multidimensional outcomes in resilience research.

Indexed as

COVID-19Mental DisordersResilience, PsychologicalAdaptation, PsychologicalHumansMental HealthPandemicsProspective Studies

Identifiers

PMID37872216
PMCPMC10593776

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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.