Sociodemographic, economic, and academic factors linked with resilience in university students during covid-19 pandemic: a Brazilian cross-sectional study.


Journal

BMC psychology
ISSN: 2050-7283
Titre abrégé: BMC Psychol
Pays: England
ID NLM: 101627676

Informations de publication

Date de publication:
01 Nov 2024
Historique:
received: 08 08 2024
accepted: 29 10 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 1 11 2024
Statut: epublish

Résumé

Resilience is a crucial factor in students' mental health, playing an important role in their successful adaptation to the academic environment. However, there is a lack of understanding about resilience and its associated factors in students from different undergraduate courses. This study aimed to describe the resilience profile of undergraduate students from various courses in Brazil and identify sociodemographic, economic, and academic factors associated with resilience. This study has data from a cross-sectional multicenter study involving undergraduate students from eight Federal Institutions of Higher Education in Minas Gerais, Brazil. The dependent variable was resilience, measured using the Connor-Davidson Resilience Scale (CD-RISC) 10-item version, with sociodemographic, economic, and academic factors considered independent variables. Data was collected virtually via a self-administered questionnaire between October 2021 and February 2022 (during the covid-19 pandemic). Independent samples t-tests and ANOVAs were conducted to compare resilience scores between independent variables, and Tukey's post-hoc test was performed when necessary. Multiple linear regression was performed to create three models. 8,650 undergraduate students were included in this study. The average score on the resilience scale was 19.86 ± 8.15, with a normal distribution. The respondents ranged from 18 to 71 years old, averaging 23.9 ± 6.33. Being female, not having a religious belief, having low per capita family income, having had a decrease in the family income, not being heterosexual, or having the head of the family with a low education level were the main factors associated, individually, with low resilience scores in the sociodemographic and economic multiple linear regression model constructed. Being from linguistics, letters and arts courses, being enrolled in fewer subjects, or being from UFMG were the main factors associated, individually, with low resilience scores in the academic multiple linear regression model constructed. The study's findings revealed that sociodemographic, economic, and academic variables were significantly associated with resilience scores in undergraduates from Minas Gerais during the covid-19 pandemic. These findings can help universities develop target strategies to promote students' resilience and reduce the risk of poor mental health among this population.

Sections du résumé

BACKGROUND BACKGROUND
Resilience is a crucial factor in students' mental health, playing an important role in their successful adaptation to the academic environment. However, there is a lack of understanding about resilience and its associated factors in students from different undergraduate courses. This study aimed to describe the resilience profile of undergraduate students from various courses in Brazil and identify sociodemographic, economic, and academic factors associated with resilience.
METHODS METHODS
This study has data from a cross-sectional multicenter study involving undergraduate students from eight Federal Institutions of Higher Education in Minas Gerais, Brazil. The dependent variable was resilience, measured using the Connor-Davidson Resilience Scale (CD-RISC) 10-item version, with sociodemographic, economic, and academic factors considered independent variables. Data was collected virtually via a self-administered questionnaire between October 2021 and February 2022 (during the covid-19 pandemic). Independent samples t-tests and ANOVAs were conducted to compare resilience scores between independent variables, and Tukey's post-hoc test was performed when necessary. Multiple linear regression was performed to create three models.
RESULTS RESULTS
8,650 undergraduate students were included in this study. The average score on the resilience scale was 19.86 ± 8.15, with a normal distribution. The respondents ranged from 18 to 71 years old, averaging 23.9 ± 6.33. Being female, not having a religious belief, having low per capita family income, having had a decrease in the family income, not being heterosexual, or having the head of the family with a low education level were the main factors associated, individually, with low resilience scores in the sociodemographic and economic multiple linear regression model constructed. Being from linguistics, letters and arts courses, being enrolled in fewer subjects, or being from UFMG were the main factors associated, individually, with low resilience scores in the academic multiple linear regression model constructed.
CONCLUSIONS CONCLUSIONS
The study's findings revealed that sociodemographic, economic, and academic variables were significantly associated with resilience scores in undergraduates from Minas Gerais during the covid-19 pandemic. These findings can help universities develop target strategies to promote students' resilience and reduce the risk of poor mental health among this population.

Identifiants

pubmed: 39482796
doi: 10.1186/s40359-024-02138-1
pii: 10.1186/s40359-024-02138-1
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

615

Subventions

Organisme : Fundação de Amparo à Pesquisa do Estado de Minas Gerais
ID : FAPEMIG/DOF nº 8288757/2019

Informations de copyright

© 2024. The Author(s).

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Auteurs

Jéssica Evelyn de Andrade (JE)

Postgraduate Program in Medications and Pharmaceutical Care, School of Pharmacy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil. jessicaeandrade@gmail.com.

Adriana Lúcia Meireles (AL)

Department of Clinical and Social Nutrition, School of Nutrition, Universidade Federal de Ouro Preto (UFOP), Ouro Preto, MG, Brazil.

Elaine Leandro Machado (EL)

Postgraduate Program in Public Health, School of Medicine, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.

Helian Nunes de Oliveira (HN)

Department of Social and Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.

Aline Dayrell Ferreira Sales (ADF)

Department of Social and Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.

Clareci Silva Cardoso (CS)

Postgraduate Program in Health Sciences, School of Medicine, Universidade Federal de São João del- Rei (UFSJ), Divinópolis, MG, Brazil.

Eulilian Dias de Freitas (ED)

Institute of Life Sciences, Faculty of Medicine, Universidade Federal de Juiz de Fora - Governador Valadares Campus (UFJF-GV), Governador Valadares, MG, Brazil.

Fernanda de Carvalho Vidigal (F)

Postgraduate Program in Nutrition and Longevity, Faculty of Nutrition, Universidade Federal de Alfenas (UNIFAL-MG), Alfenas, MG, Brazil.

Lívia Garcia Ferreira (LG)

Postgraduate Program in Nutrition and Health, Department of Nutrition, Universidade Federal de Lavras (UFLA), Lavras, MG, Brazil.

Luciana Neri Nobre (LN)

Postgraduate Program in Nutrition Sciences, Department of Nutrition, Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM), Diamantina, MG, Brazil.

Luciana Saraiva da Silva (LS)

Postgraduate Program in Health Sciences, School of Medicine, Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brazil.

Edna Afonso Reis (EA)

Department of Statistics, Institute of Exact Sciences, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.

Rob Saunders (R)

CORE Data Lab, Centre for Outcomes Research and Effectiveness, Research Department of Clinical, Health and Educational Psychology, University College London, London, UK.

Bruna Carolina Rafael Barbosa (BCR)

Postgraduate Program in Health and Nutrition, School of Nutrition, Universidade Federal de Ouro Preto (UFOP), Ouro Preto, MG, Brazil.

Cristina Mariano Ruas (CM)

Social Pharmacy Department, School of Pharmacy, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.

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