Evidence map›Paper›PMID 35865306›Full record

ArticleFrontiers in psychiatry2022

Purpose in Life and Character Strengths as Predictors of Health Sciences Students' Psychopathology During the COVID-19 Pandemic.

Iván Echeverria, Marc Peraire, Danaide Penadés, Valentina Quintero, Ana Benito, Isabel Almodóvar, Gonzalo Haro

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

7 authors.

Iván EcheverriaTXP Research Group, Universidad Cardenal Herrera-CEU, CEU Universities, Castelló de la Plana, Spain.
Marc PeraireTXP Research Group, Universidad Cardenal Herrera-CEU, CEU Universities, Castelló de la Plana, Spain.
Danaide PenadésFaculty of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Castelló de la Plana, Spain.
Valentina QuinteroFaculty of Health Sciences, Universidad Cardenal Herrera-CEU, CEU Universities, Castelló de la Plana, Spain.
Ana BenitoTXP Research Group, Universidad Cardenal Herrera-CEU, CEU Universities, Castelló de la Plana, Spain.
Isabel AlmodóvarTXP Research Group, Universidad Cardenal Herrera-CEU, CEU Universities, Castelló de la Plana, Spain.
Gonzalo HaroTXP Research Group, Universidad Cardenal Herrera-CEU, CEU Universities, Castelló de la Plana, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Health sciences students experience high levels of psychopathology conditioned by psychosocial, financial, and academic factors. However, COVID-19 pandemic might even have worsened their mental health. Thus, this article aims to evaluate how the exposure to COVID-19 pandemic has affected these students' mental health and to determine the effect of purpose in life and character strengths on this psychopathology. Methods: A cross-sectional study of unpaired samples was carried out in Spain during the first and third waves of the pandemic in 70 medical and 52 nursing students. Results: The risk factor that most determined the appearance of anxiety was the exposure of family and friends to COVID-19 (OR = 4.01; Conclusion: Exposure of the students' family and friends to SARS-CoV-2 favored the appearance of symptoms of anxiety. Honesty had a preventing role in the onset of anxiety and a high purpose in life was protective against the appearance of anxiety, depression, and total psychopathology.

Indexed as

character strengthsCOVID-19medical studentsmental healthmoral couragenursing studentspsychopathologypurpose in life

Identifiers

PMID35865306
PMCPMC9294443

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Registered trials

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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.