Evidence map›Paper›PMID 37365640›Full record

ArticleChild and adolescent psychiatry and mental health2023

Risk and protective factors associated with mental health status in an Italian sample of students during the fourth wave of COVID-19 pandemic.

Mariangela Lanfredi, Jessica Dagani, Andrea Geviti, Federica Di Cosimo, Maria Bussolati, Luciana Rillosi, Donatella Albini, Marina Pizzi, Roberta Ghidoni, Elisa Fazzi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

12 authors at 4 institutions in 1 country.

Mariangela LanfrediUnit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Via Pilastroni 4, 25125, Brescia, Italy.
Jessica DaganiSIPEC Foundation, Brescia, Italy.
Andrea GevitiService of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Federica Di CosimoUSR Lombardia, Ufficio IV Ambito Territoriale di Brescia, Brescia, Italy.
Maria BussolatiAssociazione ITACA Brescia, Brescia, Italy.
Luciana RillosiSIPEC Foundation, Brescia, Italy.
Donatella AlbiniComune di Brescia, Brescia, Italy.
Marina PizziDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Roberta GhidoniMolecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Elisa FazziChild Neurology and Psychiatry Unit, Spedali Civili Hospital, Brescia, Italy.
Antonio VitaDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Roberta RossiUnit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Via Pilastroni 4, 25125, Brescia, Italy. rrossi@fatebenefratelli.eu.
University of Brescia · ITCentro San Giovanni di Dio Fatebenefratelli · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that the COVID-19 pandemic has caused a global health crisis, especially for young people. However, most studies were conducted during the first waves of the pandemic. Few Italian studies specifically attempted to broadly assess young people's mental health status during the fourth wave of the pandemic.

methodsThis study aimed at evaluating the mental health status among a group of Italian adolescents and young adults during the fourth wave of the COVID-19 pandemic. 11,839 high school students and 15,000 university students (age range 14-25) were asked to complete a multidimensional online survey, of which 7,146 (26,6%) agreed to participate. The survey also included standardized measures for depression, anxiety, anger, somatic symptoms, resilience, loneliness and post-traumatic growth. Two separate clusters were identified through cluster analysis. Random forest, classification tree and logistic regressions analyses were applied to identify factors associated to a good or a poor level of mental health and, thus, to define students' mental health profiles.

resultsOverall, the students in our sample showed high levels of psychopathology. The clustering methods performed identified two separate clusters reflecting groups of students with different psychological features, that we further defined as "poor mental health" and "good mental health". The random forest and the logistic regressions found that the most discriminating variables among those two groups were: UCLA Loneliness Scale score, self-harm behaviors, Connor-Davidson Resilience Scale-10 score, satisfaction with family relationships, Fear of COVID-19 Scale score, gender and binge eating behaviors. The classification tree analysis identified students' profiles, showing that, globally, poor mental health was defined by higher scores of loneliness and self-harm, followed by being of female gender, presenting binge eating behaviors and, finally, having unsatisfying family relationships.

conclusionsThe results of this study confirmed the major psychological distress caused by the COVID-19 pandemic in a large sample of Italian students, and provided further insights regarding those factors associated with a good or poor mental health status. Our findings suggest the importance of implementing programs targeting aspects that have been found to be associated to a good mental health.

Indexed as

AdolescentsCOVID-19Mental healthPsychological distressYoung adults

Identifiers

PMID37365640
PMCPMC10294442
OpenAlexW4382056362

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.