Distúrbios do sono: escalas subjetivas e fatores associados em profissionais da saúde em jornada de plantões / Sleep disorders: subjective scales and associated factors in healthcare professionals during their duties

Objetivo: Demonstrar fatores envolvidos nos distúrbios do sono em profissionais que fazem plantões. Métodos: Trata-se de estudo transversal, cuja amostra foi composta de 244 voluntários, plantonistas da área da saúde, sendo 191 do sexo feminino, que responderam a um questionário socioeconômico, associado à aplicação da Escala de Sonolência de Epworth e ao Índice de Qualidade do Sono de Pittsburgh. Os dados foram analisados pelos coeficientes de Spearman e de Kendall Tau, com distribuição de probabilidade gama. Resultados: Houve significância (p<0,05) com o Índice de Qualidade do Sono de Pittsburgh e a atividade física (+0,216), ergonomia (+0,148), filhos (-0,146), valor da remuneração (+0,112) e disfunção durante o dia (+0,352). Também houve significância com a Escala de Sonolência de Epworth e atividade física (+0,138), renda familiar (-0,118), trabalho semanal (-0,151), latência do sono (-0,106), duração do sono (-0,107), eficiência do sono (-0,139) e disfunção durante o dia (+0,170). Por fim, a eficiência do sono teve significiância com profissão (-0,209), tabagismo (+0,402), Escala de Sonolência de Epworth (-0,139) e dissonias com a obesidade (índice de massa corporal >30; razão de chance de 1,40; intervalo de confiança de 95% de 1,02-1,94). Conclusão: As medidas autorrelatadas são prontamente obtidas com questionários validados, como a Escala de Sonolência de Epworth e o Índice de Qualidade do Sono de Pittsburgh, encontrando-se correlações com renda familiar, ter ou não filhos, índice de massa corporal, atividade física, ergonomia, condições de trabalho, tabagismo e componentes biopsicossociais. Em virtude do caráter transversal deste estudo é indispensável mais estudos com maior follow-up.

Objective: To demonstrate factors involved in sleep disorders in professionals who take shifts. Methods: This is a cross-sectional study whose sample consists of 244 volunteers, on-duty health workers, 191 females, who answered a socioeconomic questionnaire, associated with application of the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index. Data were analyzed with Spearman's and Kendall Tau coefficients, and gamma probability distribution. Results: There was significance (p<0,05) with the Pittsburgh Sleep Quality Index and physical activity (+0,216), ergonomics (+0,148), children (-0,146), the wage (+0,112), dysfunction during the day (+0,352). Also there was significance with the Epworth Sleepiness Scale and physical activity (+0,138), family income (-0,118), weekly workload (-0,151), sleep latency (-0,106), sleep duration (-0,107), sleep efficiency (-0,139), and dysfunction during the day (+0,170). Finally, sleep efficiency was significant with occupation (-0,209), smoking habits (+0,402), Epworth Sleepiness Scale (-0,139), dyssomnia with obesity (body index mass >30; OR of 1,40; CI 95% 1,02-1,94). Conclusion: Self-reported measures are readily obtained with validated questionnaires such as Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index, with correlations with family income, having children or not, body mass index, physical activity, ergonomics, working conditions, smoking habits, and biopsychosocial components. Due to the cross-sectional nature of this study, further research with longer follow-up is indispensable.

Structural equation modeling of associations between night work and glycemic levels

ABSTRACT Objective Different pathways may lead from night work to metabolic diseases, including type 2 diabetes. This study aimed to explore the direct and indirect pathways from night work to glycemic levels, considering the role of physical activity, waist circumference and snacking using data from ELSA-Brasil. Materials and methods A structural equation model was used to confirm the pathways from night work to glycemic levels. The latent variable, "glycemic levels", included fasting glucose, glycated hemoglobin and 2-hour plasma glucose. Results A total of 10.396 participants were included in the analyses. The final model showed that among women, night work was associated with increased glycemic levels. A statistical significant association between night work and glycemic levels mediated by waist circumference was observed among women and men. Conclusions The association between night shift and glycemic levels can be interpreted as an important step toward understanding the pathways that could explain night work as a risk factor for diabetes using epidemiological data.

Structural equation modeling of associations between night work and glycemic levels.

OBJECTIVE: Different pathways may lead from night work to metabolic diseases, including type 2 diabetes. This study aimed to explore the direct and indirect pathways from night work to glycemic levels, considering the role of physical activity, waist circumference and snacking using data from ELSA-Brasil. MATERIALS AND METHODS: A structural equation model was used to confirm the pathways from night work to glycemic levels. The latent variable, "glycemic levels", included fasting glucose, glycated hemoglobin and 2-hour plasma glucose. RESULTS: A total of 10.396 participants were included in the analyses. The final model showed that among women, night work was associated with increased glycemic levels. A statistical significant association between night work and glycemic levels mediated by waist circumference was observed among women and men. CONCLUSIONS: The association between night shift and glycemic levels can be interpreted as an important step toward understanding the pathways that could explain night work as a risk factor for diabetes using epidemiological data.

Hipovitaminose D e índices glicêmicos em trabalhadores de turno alternante de empresa de mineração / Hypovitaminosis D and glycemic index in individuals working in rotate shifts of a mining company

Objetivo: Demonstrar a prevalência da hipovitaminose D em trabalhadores de turno de uma empresa de mineração e verificar se, nesta população, há correlação entre as variáveis glicêmicas (hemoglobina glicada e glicemia de jejum) e os níveis séricos de vitamina D. Métodos: Estudo transversal observacional realizado por 2 anos consecutivos com trabalhadores de turno. No primeiro ano, foram analisados os níveis séricos de vitamina D (25(OH)D) e glicemia de jejum, excluindo indivíduos que realizavam tratamento para controle glicêmico, suplementação de vitamina D e/ou participantes do sexo feminino, totalizando 548 trabalhadores. No ano seguinte, foram selecionados da amostra anterior apenas os indivíduos que apresentaram hipovitaminose D (25(OH) D<30ng/mL). Nestes, foram analisados os níveis de 25(OH)D, glicemia de jejum e hemoglobina glicada. Foram aplicados o teste de normalidade Kolmogorov-Smirnov e a correlação de Spearman. Resultados: A idade média dos participantes foi de 38,2 anos. No primeiro ano, 80,8% dos trabalhadores apresentaram hipovitaminose D e 10,8% apresentavam glicemia de jejum fora dos níveis de normalidade. Dentre a amostra do ano seguinte, 81,1% permaneceram com hipovitaminose D, 18,2% apresentaram glicemia de jejum fora dos níveis de normalidade e 15,8% apresentaramhemoglobina glicada alterada. Não foram encontradas correlações significativas entre a 25(OH)D e a glicemia de jejum e hemoglobina glicada. Conclusão: Foi observada alta prevalência de hipovitaminose nos trabalhadores de turno. Diferentemente de outros estudos, não foram encontradas correlações significativas entre as variáveis glicêmicas e a concentração sérica da vitamina D. (AU)

Objective: To demonstrate the prevalence of hypovitaminosis D in shift workers of a mining company, and to check whether, in this population, there is a correlation between glycemic variables (glycosylated hemoglobin and fasting plasma glucose)- and serum levels of vitamin D. Methods: These are cross-sectional observational studies performed in two consecutive years with shift workers. In the first year, the serum levels of vitamin D (25(OH)D) and fasting plasma glucose were analyzed, with people who underwent treatment for glycemic control, vitamin D supplementation, and/or female participants being excluded, totalizing 548 workers. In the following year, only those individuals who presented hypovitaminosis D (25 (OH) D <30 ng/dL) were selected from the previous sample. The levels of 25 (OH) D, fasting plasma glucose, and HbA1C of these individuals were analyzed. The Kolmorogov-Smirnov normality test and the Spearman correlation were applied. Results: Th e m ean a ge o f participants was 38.2 years. In the first year, 80.8% (n=442) of the workers presented hypovitaminosis D, and 10.8% had fasting plasma glucose out of normal levels. Among the sample of the following year, 81.1% remained with hypovitaminosis D, 18.2% (n=51) had fasting glycemia out of normal levels, and 15.8% (n=44) had altered glycosylated hemoglobin. Conclusion: A high prevalence of hypovitaminosis in shift workers was observed. Differently from other studies, no significant correlations were found between glycemic variables and serum vitamin D concentration. (AU)

Night Shift Work, Genetic Risk, and Type 2 Diabetes in the UK Biobank.

OBJECTIVE: To examine the effects of past and current night shift work and genetic type 2 diabetes vulnerability on type 2 diabetes odds. RESEARCH DESIGN AND METHODS: In the UK Biobank, we examined associations of current (N = 272,214) and lifetime (N = 70,480) night shift work exposure with type 2 diabetes risk (6,770 and 1,191 prevalent cases, respectively). For 180,704 and 44,141 unrelated participants of European ancestry (4,002 and 726 cases, respectively) with genetic data, we assessed whether shift work exposure modified the relationship between a genetic risk score (comprising 110 single-nucleotide polymorphisms) for type 2 diabetes and prevalent diabetes. RESULTS: Compared with day workers, all current night shift workers were at higher multivariable-adjusted odds for type 2 diabetes (none or rare night shifts: odds ratio [OR] 1.15 [95% CI 1.05-1.26]; some nights: OR 1.18 [95% CI 1.05-1.32]; and usual nights: OR 1.44 [95% CI 1.19-1.73]), except current permanent night shift workers (OR 1.09 [95% CI 0.93-1.27]). Considering a person's lifetime work schedule and compared with never shift workers, working more night shifts per month was associated with higher type 2 diabetes odds (<3/month: OR 1.24 [95% CI 0.90-1.68]; 3-8/month: OR 1.11 [95% CI 0.90-1.37]; and >8/month: OR 1.36 [95% CI 1.14-1.62]; Ptrend = 0.001). The association between genetic type 2 diabetes predisposition and type 2 diabetes odds was not modified by shift work exposure. CONCLUSIONS: Our findings show that night shift work, especially rotating shift work including night shifts, is associated with higher type 2 diabetes odds and that the number of night shifts worked per month appears most relevant for type 2 diabetes odds. Also, shift work exposure does not modify genetic risk for type 2 diabetes, a novel finding that warrants replication.