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https://revistacefac.org.br/article/doi/10.1590/1982-0216/20242628023
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Quality of life and metamemory in higher education students during the COVID-19 pandemic

Qualidade de vida e metamemória em estudantes do nível superior durante a pandemia da COVID-19

Nathália Monteiro Santos; Raphaela Barroso Guedes-Granzotti; Pablo Jordão Alcântara Cruz; Grace Anne Azevedo Dória; Rodrigo Dornelas; Carla Patrícia Hernandez Alves Ribeiro César; Priscila Lima dos Santos; Kelly da Silva

http://dx.doi.org/10.1590/1982-0216/20242628023 Revista CEFAC, vol.26, n2, e8023, 2024
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Abstract

Purpose: to analyze the quality of life and metamemory and verify their predictors in students during the COVID-19 pandemic.

Methods: a cross-sectional survey carried out through online collection with the application of an initial questionnaire to characterize the sample, the WHOQOL-brief to investigate the quality of life, and the Metamemory Questionnaire in Adults (short version) - MIAr to evaluate metamemory in a group of undergraduate and postgraduate students. Data were analyzed using descriptive and inferential statistics. Multiple linear regression was performed to verify the predictor variables. A significance level of 5% (p ≤ 0.05) was considered.

Results: 977 university students participated in the study, the majority (70.73%) of whom were females and with an income range below three minimum wages (63.56%). For quality of life, income range, being in the risk group for COVID-19, and age were predictors for both the undergraduate and postgraduate groups. In contrast, on an excellent metamemory, the predictors were male gender and age.

Conclusion: for students, during the COVID-19 pandemic, the main predictor of quality of life was having a higher income bracket, and the main predictor of metamemory was being a male.

Keywords

Teaching; Pandemics; Students; Quality of Life; Metacognition

Resumo

Objetivo: analisar a qualidade de vida e a metamemória e verificar seus preditores em estudantes durante a pandemia da COVID-19.

Métodos: trata-se de uma pesquisa transversal realizada por meio de coleta online com a aplicação de um questionário inicial para caracterizar a amostra, do WHOQOL-bref para investigar a qualidade de vida e do Questionário de Metamemória em Adultos (versão reduzida) – MIAr para avaliar a metamemória, em um grupo de estudantes de graduação e outro de pós-graduação. Os dados foram analisados por meio de estatística descritiva e inferencial. Realizou-se a regressão linear múltipla para verificar as variáveis preditoras. Foi considerado o nível de significância de 5% (p≤0,05).

Resultados: participaram do estudo 977 universitários, sendo a maioria (70,73%) do gênero feminino e com faixa de renda menor que três salários-mínimos (63,56%). Para a qualidade de vida, tanto para o grupo de graduandos quanto de pós-graduandos, a faixa de renda, o grupo de risco para COVID-19 e a idade foram preditores, enquanto para uma boa metamemória os preditores foram o gênero masculino e a idade.

Conclusão: para os estudantes, durante a pandemia da COVID-19, o principal preditor da qualidade de vida foi possuir maior faixa de renda e o da metamemória foi ser do gênero masculino.

Palavras-chave

Ensino; Pandemias; Estudantes; Qualidade de Vida; Metacognição

Referências

1. Block P, Hoffman M, Raabe IJ, Dowd JB, Rahal C, Kashyap R et al. Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nat Hum Behav. 2020;4(6):588-96. https://doi.org/10.1038/s41562-020-0898-6 PMID: 32499576.

2. Brasil. Portaria no 343, de 17 de março de 2020. 53 2020. p. 39.

3. Sahu P. Closure of universities due to Coronavirus disease 2019 (COVID-19): Impact on education and mental health of students and academic staff. Cureus. 2020;12(4):e7541. https://doi.org/10.7759/cureus.7541 PMID: 32377489.

4. Lima AC, Freitas JO, Pereira L de ASR, Silva VG da, Coelho MMP, Peixoto TM et al. Desafios da aprendizagem remota por estudantes universitários no contexto da Covid-19. Rev Divulg Científica Sena Aires. 2020;9(1):610-17. https://doi.org/10.36239/revisa.v9.nesp1.p610a61

5. Zhang Y, Zhang H, Ma X, Di Q. Mental Health Problems during the COVID-19 Pandemics and the mitigation effects of exercise: A longitudinal study of college students in China. Int J Environ Res Public Health. 2020;17(10):3722. https://doi.org/10.3390/ijerph17103722 PMID: 32466163.

6. Brasil. Glossário temático: promoção da saúde. 1st ed. Secretaria de Vigilância em Saúde, editor. Brasília: Ministério da Saúde; 2012. 49 p.

7. Organización Mundial de la Salud. Promoción de la salud: glosario. Genebra: Organización Mundial de la Salud; 1988.

8. Yassuda MS, Lasca VB, Neri AL. Meta-memória e auto-eficácia: Um estudo de validação de instrumentos de pesquisa sobre memória e envelhecimento. Psicol Reflex. Crít. 2005;18(1):78-90. https://doi.org/10.1590/S0102-79722005000100011

9. Besken M, Mulligan NW. Easily perceived, easily remembered? Perceptual interference produces a double dissociation between metamemory and memory performance. Mem Cognit. 2013;41(6):897-903. https://doi.org/10.3758/s13421-013-0307-8 PMID: 23460317.

10. Fong CJ, Davis CW, Kim Y, Kim YW, Marriott L, Kim SY. Psychosocial factors and community college student success: a meta-analytic investigation. Rev Educ Res. 2017;87(2):388-424. https://doi.org/10.3102/0034654316653479

11. Mazancieux A, Souchay C, Casez O, Moulin CJA. Metacognition and self-awareness in multiple sclerosis. Cortex. 2019;111(6):238-55. https://doi.org/10.1016/j.cortex.2018.11.012 PMID: 30530267.

12. The Whoqol group. Development of the World Health Organization WHOQOL-BREF Quality of Life Assessment. Psychol Med. 1998;28(3):551-8. https://doi.org/10.1017/S0033291798006667

13. Pedroso B, Pilatti LA, Gutierrez GL, Picinin CT. Cálculo dos escores e estatística descritiva do WHOQOL-bref através do Microsoft Excel. Rev Bras Qual Vida. 2010;2(1):31-6. https://doi.org/10.3895/S2175-08582010000100004

14. Dixon RA, Hultsch DF. Metamemory and memory for text relationships in adulthood: A cross-validation study. J Gerontol. 1983;38(6):689-94. https://doi.org/10.1093/geronj/38.6.689 PMID: 6630903.

15. Campelo G, Zortea M, Saraiva R, Machado W, Sbicigo JB, Segabinazi JD et al. A short version of the questionnaire of metamemory in Adulthood (MIA) in Portuguese. Psicol Reflex e Crit. 2016;29(1):37. https://doi.org/10.1186/s41155-016-0043-7

16. Ferri C, Duarte BK da C, Neitzel AA. O acadêmico ingressante na educação superior: perfil, escolhas e expectativas. ETD - Educ Temática Digit. 2018;20(3):781-804. https://doi.org/ 10.20396/etd.v20i3.8649245

17. Kumari A, Wu DT, Motiani KK, Wu KY, Palumbo M, Tran SD. Career pathways and professional skills of postgraduate students from a dental research-intensive programme. Eur J Dent Educ. 2019;23(2):143-50. https://doi.org/10.1111/eje.12413 PMID: 30582648.

18. Bezerra ACV, Silva CEM da, Soares FRG, Silva JAM da. Fatores associados ao comportamento da população durante o isolamento social na pandemia de COVID-19. Cien Saude Colet. 2020;25(suppl1):241121. https://doi.org/10.1590/141381232020256.1.10792020

19. World Health Organization (WHO). Folha informativa COVID-19 - Escritório da OPAS e da OMS no Brasil. 2020.

20. Ghassab-Abdollahi N, Shakouri S, Aghdam A, Farshbaf-Khalili A, Abdolalipour S, Farshbaf-Khalili A. Association of quality of life with physical activity, depression, and demographic characteristics and its predictors among medical students. J Educ Health Promot. 2020;9(1):147. https://doi.org/10.4103/jehp.jehp_91_20 PMID: 32766332.

21. Pieh C, Budimir S, Probst T. The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res. 2020;136:110186. https://doi.org/10.1016/j.jpsychores.2020.110186 PMID: 32682159.

22. Lodhi FS, Montazeri A, Nedjat S, Mahmoodi M, Farooq U, Yaseri M et al. Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization's quality of life instrument (WHOQOL-BREF): A population based cross-sectional study. Health Qual Life Outcomes. 2019;17(1):9. https://doi.org/10.1186/s12955-018-1065-x PMID: 30642360.

23. Santana LAA, Meireles E, Sá V. Sucesso educativo de egressos da graduação: uma possibilidade de medida e explicação. Avaliação Rev da Avaliação da Educ Super. 2020;25(3):575-93. https://doi.org/10.1590/s1414-40772020000300004

24. Tzur Bitan D, Grossman-Giron A, Bloch Y, Mayer Y, Shiffman N, Mendlovic S. Fear of COVID-19 scale: Psychometric characteristics, reliability and validity in the Israeli population. Psychiatry Res. 2020;289:113100. https://doi.org/10.1016/j.psychres.2020.113100 PMID: 32425276.

25. Zamora-Ledezma C, Clavijo CDF, Medina E, Sinche F, Santiago Vispo N, Dahoumane SA et al. Biomedical Science to Tackle the COVID-19 Pandemic: Current Status and Future Perspectives. Molecules. 2020;25(20):4620. https://doi.org/10.3390/molecules25204620 PMID: 33050601

26. Boukhris M, Hillani A, Moroni F, Annabi MS, Addad F, Ribeiro MH et al. Cardiovascular implications of the COVID-19 pandemic: A global perspective. Can J Cardiol. 2020;36(7):1068-80. https://doi.org/10.1016/j.cjca.2020.05.018 PMID: 32425328.

27. Kumar M, Thakur AK. Neurological manifestations and comorbidity associated with COVID-19: an overview. Neurol Sci. 2020;41(12):3409-18. https://doi.org/10.1007/s10072-020-04823-6 PMID: 33052573.

28. Mehraeen E, Behnezhad F, Salehi MA, Noori T, Harandi H, SeyedAlinaghi S. Olfactory and gustatory dysfunctions due to the coronavirus disease (COVID-19): A review of current evidence. Eur Arch Oto-Rhino-Laryngology. 2021;278(2):307-12. https://doi.org/10.1007/s00405-020-06120-6 PMID: 32556781.

29. Sousa TF de, Loch MR, Lima AJ de O, Franco DC, Barbosa AR. Coocorrência de fatores de risco à saúde em universitários de uma instituição de ensino superior brasileira. Cien Saude Colet. 2021;26(2):729-38. https://doi.org/10.1590/1413-81232021262.07062019

30. Raeisi E, Solati K, Aazami MH, Shamsipour N, Sadeghian Z, Ahmady S. The impact to demographic and academic factors on metacognition and academic self-efficacy: A study on Iranian students in health sciences. J Educ Health Promot. 2020;9:70. https://doi.org/10.4103/jehp.jehp_519_19 PMID: 32490005.

31. Bortone R, Muro D. Perfil metacognitivo en estudiantes universitarios. Investig y Postgrado. 2014;29(1):95-107. http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S1316-00872014000100006&lng=es&tlng=es

32. Fajgenbaum DC, June CH. Cytokine storm. N Engl J Med. 2020;383(23):2255-73. https://doi.org/10.1056/NEJMra2026131 PMID: 33264547.

33. Cothran TP, Kellman S, Singh S, Beck JS, Powell KJ, Bolton CJ et al. A brewing storm: The neuropsychological sequelae of hyperinflammation due to COVID-19. Brain Behav Immun. 2020;88:957-58. https://doi.org/10.1016/j.bbi.2020.06.008 PMID: 32590055.

34. Farah MJ. The neuroscience of socioeconomic status: Correlates, causes, and consequences. Neuron. 2017;96(1):56-71. https://doi.org/10.1016/j.neuron.2017.08.034 PMID: 28957676.
 

Submetido em:
10/08/2023

Aceito em:
01/12/2023

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