Evidence map›Paper›PMID 33728659›Full record

ArticlePerspectives in psychiatric care2021

Posttraumatic growth and positive determinants in nursing students after COVID-19 alarm status: A descriptive cross-sectional study.

Erman Yıldız

Open access · bronzeAbstract read
In one paragraph

Article in Perspectives in psychiatric care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 49 citations in OpenAlex.

  1. High Levels of Well-Being and Being Infected With the COVID-19 Virus Predicted Post-Traumatic Growth in Healthcare Workers.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 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

1 author at 1 institution in 1 country.

Erman YıldızDepartment of Psychiatric Nursing, Inonu University, Malatya, Turkey.ORCID https://orcid.org/0000-0002-6544-4847
Inonu University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the relationship between posttraumatic growth (PTG), psychological flexibility, and psychological resilience of nursing students after the COVID-19 alarm status. DESIGN AND

methodsThis descriptive cross-sectional study was conducted with nursing students (N = 292) studying at a nursing school of a university. The data collection instruments included a form on descriptive variables, and the PTG, psychological flexibility, and psychological resilience scales. Descriptive statistics, independent-samples t test, ANOVA, correlation, simple, and hierarchical linear regression analyses were used to analyze the data.

findingsThe mean scores regarding psychological flexibility, psychological resilience, and PTG were 27.56 ± 11.06, 18.10 ± 5.75, and 63.49 ± 20.64, respectively. While psychological flexibility explained 36.7% of the total variance in psychological resilience, the predictive effect of seven descriptive variables, including psychological flexibility and psychological resilience, on PTG was determined as 13.4%. PRACTICE IMPLICATIONS: PTG, psychological flexibility, and psychological resilience may help nursing students prepare for their transition to the profession.

Indexed as

COVID-19Posttraumatic Growth, PsychologicalResilience, PsychologicalStudents, NursingCross-Sectional StudiesHumansSARS-CoV-2Surveys and QuestionnairesCOVID-19education curriculumnursing studentpandemicpsychological flexibilitypsychological resilience

Identifiers

PMID33728659
PMCPMC8251109
OpenAlexW3137324208

What OpenQuestion holds

Textmetadata
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.