EXPLORANDO OS COMPORTAMENTOS E NÍVEIS DE PREOCUPAÇÃO ENTRE CIDADÃOS AMERICANOS IDOSOS E NÃO IDOSOS DURANTE A PANDEMIA DE COVID-19
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https://doi.org/10.56579/rei.v5i3.632Palabras clave:
Covid-19, Idosos, Comportamento social, Comportamento de saúdeResumen
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.
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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
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