EXPLORANDO OS COMPORTAMENTOS E NÍVEIS DE PREOCUPAÇÃO ENTRE CIDADÃOS AMERICANOS IDOSOS E NÃO IDOSOS DURANTE A PANDEMIA DE COVID-19
Visualizações: 231DOI:
https://doi.org/10.56579/rei.v5i3.632Keywords:
Covid-19, Idosos, Comportamento social, Comportamento de saúdeAbstract
O objetivo deste estudo foi analisar o comportamento dos cidadãos norte-americanos em relação à busca de informações sobre a pandemia e medidas de higiene, bem como o nível de preocupação durante a pandemia de Covid-19, comparando idosos com não idosos. Os dados analisados são de fonte secundária, da pesquisa DFP Covid-19 Response Weekly Tracking Poll, coletados no período entre abril de 2020 a janeiro de 2021. A amostra total de entrevistados foi 18.616 indivíduos, com idades entre 18 e 93 anos, dicotomizada em dois grupos: pessoas com menos de 65 anos e pessoas com 65 anos ou mais. Recorreu-se ao teste de Qui-quadrado, teste de Kruskal-WaIlis e teste t Student para analisar os dados coletados. Considerou-se uma probabilidade do erro tipo I (α) de 0,05 em todas as análises inferenciais. Os resultados apontam que as condutas e comportamentos apresentados em relação à pandemia e os mecanismos utilizados para buscar informações apresentaram diferenças significativas em relação às faixas etárias analisadas. As pessoas com menos de 65 anos estão mais preocupadas sobre o impacto da pandemia sobre a economia. Já as pessoas com 65 anos ou mais a preocupação do impacto foi maior sobre a saúde.
Downloads
References
BARCELÓ, J.; SHEEN, G. C. H. Voluntary adoption of social welfare-enhancing behavior: Mask-wearing in Spain during the Covid-19 outbreak. PLoS ONE, v. 15, n. 12, p. e0242764, 2020. DOI: https://doi.org/10.1371/journal.pone.0242764 DOI: https://doi.org/10.1371/journal.pone.0242764
BEAUNOYER, E.; DUPÉRÉ, S.; GUITTON, M. J. COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior, v. 111, 2020. DOI: https://doi.org/10.1016/j.chb.2020.106424 DOI: https://doi.org/10.1016/j.chb.2020.106424
BODAS, M.; PELEG, K. Self-isolation compliance in the COVID-19 era influenced by compensation: Findings from a recent survey in Israel. Health Affairs, v. 39, n. 6, p. 936-941, 2020. DOI: https://doi.org/10.1377/hlthaff.2020.00382
BREWER, N. T. et al. Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, v. 26, n. 2, p. 136-145, 2007. DOI: https://doi.org/10.1037/0278-6133.26.2.136
CARVALHO, W. R G.; TEIXEIRA, L. A. SARS-CoV-2 em superfícies: persistência e medidas preventivas – uma revisão sistemática. Journal Health NPEPS, v. 5, n. 2, p. e4873, 2020. DOI: http://dx.doi.org/10.30681/252610104873 DOI: https://doi.org/10.30681/252610104873
DATA FOR PROGRESS. Data for Progress Covid-19. 2021. Disponível em: https://www.dataforprogress.org/coronavirus. Acesso em: 8 agosto 2022.
DAVIES, A. R.; HONEYMAN, M.; GANN, B. Addressing the digital inverse care law in the time of Covid-19: Potential for digital technology to exacerbate or mitigate health inequalities. Journal of Medical Internet, v. 23, n. 2, e21726, 2021. DOI: http://dx.doi.org/10.2196/21726 DOI: https://doi.org/10.2196/21726
FECHINE, B. R. A.; TROMPIERI, N. O processo de envelhecimento: as principais alterações que acontecem com o idoso com o passar dos anos. Revista Científica Internacional, v. 1, n. 7, p. 106-132, 2012. DOI: https://doi.org/10.6020/1679-9844/2007
GARCÍA-ESQUINAS, E. et al. Changes in health behaviors, mental and physical health among older adults under severe lockdown restrictions during the Covid-19 pandemic in Spain. International Journal of Environmental Research and Public Health 2021, v. 18, n. 13, p. 7067, 2021. DOI: http://dx.doi.org/10.3390/ijerph18137067 DOI: https://doi.org/10.3390/ijerph18137067
HUANG, C. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet, v. 395, n. 10223, p. 497-506, 2020. DOI: http://dx.doi.org/10.1016/S0140-6736(20)30183-5 DOI: https://doi.org/10.1016/S0140-6736(20)30183-5
LI, X.; MA, X. Acute respiratory failure in COVID-19: Is it “typical” ARDS? Critical Care, v. 24, n. 198, 2020. DOI: https://doi.org/10.1186/s13054-020-02911-9 DOI: https://doi.org/10.1186/s13054-020-02911-9
LUCIDCHART: Software online de diagramas e comunicação visual. 2021. Disponível em: https://www.lucidchart.com/pages/pt. Acesso em: 8 agosto 2022.
MACINKO, J. et al. Prevalence and characteristics of brazilians aged 50 and over that received a doctor’s diagnosis of COVID-19: The ELSI-COVID-19 initiative. Cadernos de Saúde Pública, v. 36, Suppl 3, p. e00190320, 2020. https://doi.org/10.1590/0102-311X00190320 DOI: https://doi.org/10.1590/0102-311x00190320
MARÔCO, J. Análise estatística com o SPSS Statistics. Ed 8ª. Perô Pinheiro, Portugal: ReporNumber, 2021.
PAN, A. et al. Association of public health interventions with the epidemiology of the Covid-19 outbreak in Wuhan, China supplemental content. JAMA, v. 323, n. 19, p. 1915-1923, 2020. DOI: http://dx.doi.org/10.1001/jama.2020.6130 DOI: https://doi.org/10.1001/jama.2020.6130
POTHISIRI, W.; VICERRA, P. M. M. Psychological distress during Covid-19 pandemic in low-income and middle-income countries: a cross-sectional study of older persons in Thailand. BMJ Open, v. 11, n. 4, p. e047650, 2021. DOI: http://dx.doi.org/10.1136/bmjopen-2020-047650 DOI: https://doi.org/10.1136/bmjopen-2020-047650
SALZBERGER, B. et al. Epidemiology of SARS-CoV-2. Infection, v. 49, p. 233-239, 2021. DOI: https://doi.org/10.1007/s15010-020-01531-3 DOI: https://doi.org/10.1007/s15010-020-01531-3
SANTABÁRBARA, J. et al. Prevalence of anxiety in the COVID-19 pandemic: An updated meta-analysis of community-based studies. Progress in Neuropsychopharmacology & Biological Psychiatry, v. 109, p. 110207, 2021. DOI: https://doi.org/10.1016/j.pnpbp.2020.110207
SAVADORI, L.; LAURIOLA, M. Risk Perception and Protective Behaviors During the Rise of the COVID-19 Outbreak in Italy. Frontiers in Psychology, v. 11, p. 1-20, 2021. DOI: https://doi.org/10.3389/fpsyg.2020.577331 DOI: https://doi.org/10.3389/fpsyg.2020.577331
SCHAFFNER, B. DFP Covid-19 Response Weekly Tracking Poll. Harvard Dataverse, v. 11, 2020. DOI: https://doi.org/10.7910/DVN/XJLZIN
SUN, Y. J. et al. Clinical Features of Fatalities in Patients with COVID-19. Disaster Medicine and Public Health Preparedness, v. 15, n. 2, p. E9-E11, 2021. DOI: https://doi.org/10.1017/dmp.2020.235
TAYLOR, A. M. et al. Impact of COVID-19 lockdown on psychosocial factors, health, and lifestyle in Scottish octogenarians: The Lothian Birth Cohort 1936 study. Plos One, v. 16, n. 6, p. e0253153, 2021. DOI: https://doi.org/10.1371/journal.pone.0253153
TREVIÑO, J. A. Demografía, comorbilidad y condiciones médicas de los pacientes hospitalizados por Covid-19 en México. Middle Atlantic Review of Latin American Studies, v. 4, n. 1, p. 49-70, 2020. DOI: https://doi.org/10.23870/marlas.317
TURNA, J. et al. Anxiety, depression, and stress during the Covid-19 pandemic: Results from a cross-sectional survey. Journal of Psychiatric Research, v. 137, p. 96-103, 2021. DOI: https://doi.org/10.1016/j.jpsychires.2021.02.059 DOI: https://doi.org/10.1016/j.jpsychires.2021.02.059
WU, T. et al. Prevalence of mental health problems during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of Affective Disorders, v. 281, 2021. DOI: https://doi.org/10.1016/j.jad.2020.11.117 DOI: https://doi.org/10.1016/j.jad.2020.11.117
XIONG, J. et al. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. Journal of Affective Disorders, v. 277, 202o. DOI: https://doi.org/10.1016/j.jad.2020.08.001 DOI: https://doi.org/10.1016/j.jad.2020.08.001
XU, Z. et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. The Lancet Respiratory Medicine, v. 8, n. 4, p. 420-422, 2020. DOI: https://doi.org/10.1016/S2213-2600(20)30076-X
YAO, Y. et al. Clinical characteristics of COVID-19 patients in three consecutive generations of spread in Zhejiang, China. Clinical Microbiology and Infection, v. 26, n. 10, p. 1380-1385, 2020. DOI: https://doi.org/10.1016/j.cmi.2020.06.018
ZWEIG, S. A. et al. Impact of public health and social measures on the COVID-19 pandemic in the United States and other countries: Descriptive analysis. JMIR Public Health and Surveillance, v. 7, n. 6, p. 1-8, 2021. DOI: https://doi.org/10.2196/27917
Downloads
Published
How to Cite
Issue
Section
License
The Journal of Interdisciplinary Studies adopts the Creative Commons Attribution 4.0 International License (CC BY 4.0), which allows for sharing and adapting the work, including for commercial purposes, provided proper attribution is given and the original publication in this journal is acknowledged.
