Insomnia symptoms during the covid-19 pandemic: a case-control study / Sintomas de insônia durante a pandemia de covid-19: um estudo caso-controle

ABSTRACT OBJECTIVE To identify lifestyle-related, sociodemographic, and mental health characteristics of people with insomnia symptoms and people without insomnia during the pandemic. METHODS A case-control study was conducted with data collected by snowball sampling using an online questionnaire. From November 2020 to April 2021, 6,360 people with a mean age of 43.5 years (SD = 14.3) participated in the survey. For this study, we considered 158 cases of insomnia disorder and 476 controls (three controls per case) randomly selected from the participants without sleep problems. RESULTS The results of the comparative analysis between cases and controls showed that sleeping less than six hours daily (OR = 3.89; 95%CI 2.50-6.05), feeling sadness frequently (OR = 2.95; 95%CI 1.69-5.17), residing in metropolitan areas (OR = 1.71; 95%CI 1.04-2.84), being 40 years or older (OR = 1.93; 95%CI 1.22-3.06), and the interaction between occupation and poorer education (OR = 2.12; 95%CI 1.22-3.69) were predictors for symptoms of insomnia disorder during the pandemic. CONCLUSIONS In addition to confirming the hypothesis that mental health problems are associated with insomnia symptoms, the results point to insomnia as an important outcome for studies on the effects of unemployment, vulnerability and low education of the population, especially in large cities, highlighting that the effects of the crisis on health and the economy are extremely unequally distributed.

RESUMO OBJETIVO Identificar características relacionadas ao estilo de vida, sociodemográficas e saúde mental de pessoas com sintomas de insônia e pessoas sem insônia durante a pandemia. MÉTODOS A partir de dados coletados por amostragem em bola de neve, por meio de um questionário online foi realizado um estudo caso-controle. Durante o período de novembro de 2020 a abril de 2021, 6.360 pessoas com idade média de 43,5 anos (DP = 14,3) participaram da pesquisa. No presente estudo, foram considerados 158 casos de transtorno de insônia e 476 controles (três controles por caso) selecionados aleatoriamente dentre os participantes sem problemas de sono. RESULTADOS Os resultados da análise comparativa entre casos e controles mostraram que dormir menos de seis horas diárias (OR = 3,89; IC95% 2,50-6,05), sentir tristeza frequentemente (OR = 2,95; IC95% 1,69-5,17), residir em metrópoles (OR = 1,71; IC95% 1,04-2,84), estar com 40 anos ou mais (OR = 1,93; IC95% 1,22-3,06) e a interação entre ocupação e escolaridade mais precária (OR = 2,12; IC95% 1,22-3,69) foram fatores preditores para sintomas de transtorno de insônia durante a pandemia. CONCLUSÕES Além da confirmação da hipótese de que problemas de saúde mental estão associados a sintomas de insônia, os resultados apontam para a insônia como um desfecho importante para estudos sobre efeitos do desemprego, vulnerabilidade e baixa escolaridade da população, sobretudo nas grandes metrópoles, ressaltando que os efeitos da crise sobre a saúde e a economia são distribuídos de forma extremamente desiguais.

Schwann cell reprogramming and lung cancer progression: a meta-analysis of transcriptome data.

Schwann cells were identified in the tumor surrounding area prior to initiate the invasion process underlying connective tissue. These cells promote cancer invasion through direct contact, while paracrine signaling and matrix remodeling are not sufficient to proceed. Considering the intertwined structure of signaling, regulatory, and metabolic processes within a cell, we employed a genome-scale biomolecular network. Accordingly, a meta-analysis of Schwann cells associated transcriptomic datasets was performed, and the core information on differentially expressed genes (DEGs) was obtained by statistical analyses. Gene set over-representation analyses was performed on core DEGs to identify significantly functional and pathway enrichment analysis between Schwann cells and, lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). DEGs were further integrated with genome-scale human biomolecular networks. miRNAs were proposed by the reconstruction of a transcriptional and post-transcriptional regulatory network. Moreover, microarray-based transcriptome profiling was performed, and the prognostic power of selected dedifferentiated Schwann cell biomolecules was predicted. We observed that pathways associated with Schwann cells dedifferentiation was overexpressed in lung cancer samples. However, genes associated with Schwann cells migration inhibition system were downregulated. Besides, miRNA targeting those pathways were also deregulated. In this study, we report valuable data for further experimental and clinical analysis, because the proposed biomolecules have significant potential as systems biomarkers for screening or for therapeutic purposes in perineural invasion of lung cancer.