Evidence map›Paper›PMID 35524705›Full record

ArticlePsycho-oncology2022

Relationships between satisfaction with life, posttraumatic growth, coping strategies, and resilience in cancer survivors: A network analysis approach.

Matúš Adamkovič, Denisa Fedáková, Michal Kentoš, Miroslava Bozogáňová, Dominika Havrillová, Gabriel Baník, Mária Dědová, Ivana Piterová

Open access · hybridAbstract read
In one paragraph

Article in Psycho-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. An exploration of the relationship between perceived injustice and pain severity in breast cancer survivors: a structural equation model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  11. The experience of fertility concerns in patients with testicular cancer: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  12. Characterizing the post-traumatic growth trajectory in gastric cancer survivors: a population-based longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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

8 authors at 4 institutions in 2 countries.

Matúš AdamkovičInstitute of Social Sciences, Centre of Social and Psychological Sciences SAS, Košice, Slovakia.ORCID 0000-0002-9648-9108
Denisa FedákováInstitute of Social Sciences, Centre of Social and Psychological Sciences SAS, Košice, Slovakia.
Michal KentošInstitute of Social Sciences, Centre of Social and Psychological Sciences SAS, Košice, Slovakia.
Miroslava BozogáňováInstitute of Social Sciences, Centre of Social and Psychological Sciences SAS, Košice, Slovakia.
Dominika HavrillováInstitute of Social Sciences, Centre of Social and Psychological Sciences SAS, Košice, Slovakia.
Gabriel BaníkInstitute of Psychology, Faculty of Arts, University of Prešov, Prešov, Slovakia.ORCID 0000-0002-6601-3619
Mária DědováDepartment of Psychology, Faculty of Arts, University of Trnava, Trnava, Slovakia.
Ivana PiterováInstitute of Social Sciences, Centre of Social and Psychological Sciences SAS, Košice, Slovakia.
Centre of Social and Psychological Sciences of the Slovak Academy of Sciences · SKUniversity of Prešov · SKUniversity of Pavol Jozef Šafárik · SKUniversity of Trnava · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCancer survivors' satisfaction with life should be seen through the psychological factors related to a person's capabilities to face and handle the situation. This study aimed to (1) examine the relationships of satisfaction with life, posttraumatic growth, resilience and coping strategies in a global network model, (2) find the bridge indicators between satisfaction with life and the other constructs, and (3) test for the invariance of the network structures across several moderating variables.

methodsIn a heterogeneous sample of 696 cancer survivors (69% female; mean age = 53.1 ± 15.44 years; median time from being diagnosed = 4 years; breast cancer was the most frequent type of cancer) their satisfaction with life, resilience, coping strategies and posttraumatic growth was measured. In order to account for their complexity, the relationships between the constructs were explored using a network analysis approach.

resultsThe network analysis shows that satisfaction with life is strongly connected to resilience, moderately connected to coping strategies, and has a weak connection with posttraumatic growth. In the separate networks, the relationships between the psychological constructs were examined in greater detail. Besides some exceptions observed in the degree of disability, the networks were invariant across gender, age, years since being diagnosed, cancer type and treatment type.

conclusionThe findings suggest that interventions focused on cancer survivors' coping strategies and resilience could help increase their satisfaction with life. However, further replication of the proposed and/or modified model is needed.

Indexed as

Breast NeoplasmsCancer SurvivorsPosttraumatic Growth, PsychologicalResilience, PsychologicalAdaptation, PsychologicalAdultAgedFemaleHumansMaleMiddle AgedPersonal Satisfactionbridge indicatorscancercancer survivorscoping strategiesnetwork analysisoncology survivorsposttraumatic growthpsycho-oncologyresiliencesatisfaction with life

Identifiers

PMID35524705
PMCPMC9790334
OpenAlexW4229072920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.