ArticleHeliyon2024
Measuring the psychosocial impact of COVID-19 by means of the "international student well-being study questionnaire": Evidence on Italian university students.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Instruments used to measure well-being, ill-being, and health-related lifestyle behaviors in students attending Italian universities: a systematic review.Frontiers in public health · 2026Pooled it
- Not all heroes wear capes: a photovoice exploration of youth experiences during and beyond COVID-19.BMC public health · 2026Article
- COVID-19 stress, aggressiveness, and deviant behaviour: a mediation analysis of youth in the pandemic era.Australian journal of psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The COVID-19 pandemic appeared as an unpredictable disruption of daily activities. This situation produced a unique mental health impact for the general population, youth, and vulnerable groups. A documented consequence has been alcohol abuse and impaired mental health. To our knowledge, no published study has yet evaluated the rates of depressive symptoms, academic frustration, and substance abuse in the Italian student population in the COVID era linking them to sociodemographic variables. Aims: To investigate the incidence of depressive symptoms, academic frustration, and substance abuse students developed in one university in Northern Italy during the first COVID-19 outbreak, using a student wellbeing framework borrowed from Allardt's and Bronfenbrenner's theories. Methods: Descriptive statistics, correlations, Wilcoxon test and factorial ANOVA were performed on data gathered through an online questionnaire sent to a convenience sample of university students. Data collection occurred between 18 May and June 21, 2020. Results: According to the framework used, Being was the dimension of sociodemographic variables, Having was economic support and Loving was social support. Students experienced academic frustration and related depressive symptoms. Male gender seemed to be less affected by the depressive syndrome. With regard to economic support and related repercussions on depressive symptoms, students who reported that they could not obtain a loan showed significantly higher depressive symptoms. Students benefiting from greater financial support showed less academic frustration. Age appeared to be a predictor of academic frustration since young students proved to be the most frustrated. The examined students' population showed a significant decrease in alcohol and cigarettes consumption. Conclusions: Having and Being dimensions influenced depression and academic frustration. Having and Loving dimensions were related with use of substances. The study findings support the implementation of interventions to help students, at a psychological, social, financial level aiming at fostering the quality of students' educational life.
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Registered trials
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.