RESUMEN
Verificar associações entre parâmetros do sono, sintomas de ansiedade e depressão e nível de atividade física (NAF) em profissionais de saúde da linha de frente COVID-19. Foram avaliados qualidade do sono (QS), sonolência diurna excessiva (SDE), sintomas de ansiedade e depressão e NAF. Houve correlações entre QS e ansiedade (p < 0,001) e depressão (p < 0,001) e entre SDE e ansiedade (p < 0,05) e depressão (p < 0,05). Não houve correlações entre o NAF e QS (p > 0,05) e SDE (p > 0,05). Houve associação entre QS e sintomas de ansiedade (p= 0,005) e depressão (0,014). Não houve associação entre a SDE e sintomas de ansiedade e depressão. Em profissionais de saúde na linha de frente durante a pandemia de COVID-19, os sintomas de ansiedade e depressão foram preditores da QS. Não foi observada associação entre SDE e sintomas de ansiedade e depressão.
To verify associations between sleep parameters, anxiety and depression symptoms and physical activity level in healthcare professionals during COVID-19 pandemic. We evaluated sleep quality (SQ), excessive daytime sleepiness (EDS), anxiety and depression symptoms and physical activity level (PAL) in healthcare professionals who worked during COVID-19 pandemic in Recife-Brazil. Correlations were observed between SQ and anxiety (p < 0.001) and depression (p < 0.001), as well between EDS and anxiety: p < 0.05) and depression (p < 0 .05). No correlations were found between PAL and sleep parameters (QS: p > 0.05) (EDS: p > 0.05). No association was observed between SQ and anxiety (p = 0.005) and depression (p = 0.014). No association was found between EDS and anxiety and depression symptoms. In healthcare professionals during COVID-19 pandemic, anxiety and depression symptoms are predictors of sleep quality. No association was found between anxiety and depression symptoms and EDS.
RESUMEN
Avaliar fatores associados ao nível de atividade física durante a pandemia daCOVID-19em indivíduos com diabetes mellitus tipo 2 (DM2).Estudo transversal, envolvendo 211 pessoas com DM2 e idade ≥ 45 anos, utilizando o Google Forms para coletar informações: dados pessoais,Questionário Internacional de Atividade Física (IPAQ), Inventário de Autocuidado (SCI-R) e Versão Brasileira da Escala PAID (B-PAID). Houve prevalência do diagnóstico do DM2 acima de 10 anos (42,1%); no geral, eram ativos (55,2%), com alto sofrimento emocional (52,6%) e com baixo autocuidado (71,6%). Foi observada associação do nível de atividade física e a percepção de saúde [IC 95% OR = 2,421-1,264;p < 0,008) e o nível de atividade física e a insônia (OR = 0,410-0,196;(p < 0,018). O maior nível de atividade física foi associado à autopercepção de saúde positiva e à insônia.
To evaluate factors associated with the level of physical activity during the COVID-19 pandemic in individuals with type 2 diabetes mellitus (DM2). Cross-sectional study, involving 211 people with DM2 aged ≥ 45 years, using Google Forms to collect information: personal data, International Physical Activity Questionnaire (IPAQ), Self-Care Inventory (SCI-R) and Brazilian version of the PAID Scale (B-PAID). There was a prevalence of DM2 diagnosis over 10 years (42.1%); in general, they were active (55.2%), with high emotional distress (52.6%) and low self-care (71.6%). There was an association between the level of physical activity and perceived health [95% CI OR = 2.421-1.264; p < 0.008) and the level of physical activity and insomnia (OR = 0.410-0.196; (p < 0.018). A higher level of physical activity was associated with positive self-perception of health and insomnia.
RESUMEN
Objective To compare the sleep quality, excessive daytime sleepiness, and physical activity level in health professionals infected and not infected with COVID-19. Methods Cross-sectional study based on online forms (Google Forms) filled out by health professionals who cared for COVID- 19 patients in hospitals in the Recife metropolitan area, Brazil, between October 2020 and May 2021. Anthropometric, sociodemographic, and occupational data were collected, along with the assessment of excessive daytime sleepiness (with Epworth Sleepiness Scale [ESE]), sleep quality (with Pittsburgh Sleep Quality Index [PSQI]), and physical activity level (with International Physical Activity Questionnaire [IPAQ] - short version). Results A total of 96 participants were assessed (37 with COVID-19, 59 without COVID-19). There were no differences between the groups regarding physical activity levels classified as sedentary, moderately active, or highly active (p = 0.850), or the weekly energy expenditure (p = 0.522). Infected professionals had a greater workload than non-infected ones, besides poorer sleep quality (10.46 ± 3.75 vs. 7.88 ± 3.75; p = 0.001) and excessive daytime sleepiness (10.19 ± 3.05 vs. 8.44 ± 3.85; p = 0.016). Conclusion Based on the results, this study shows that professionals infected with COVID-19 have poorer sleep quality, associated with excessive daytime sleepiness, in contrast with non-infected professionals.
