Studies have shown that the frequency or worsening of sleep disorders tends to increase with age and that the ability to perform circadian adjustments tends to decrease in individuals who work the night shift. This condition can cause consequences such as excessive sleepiness, which are often a factor in accidents that occur at work. The present study investigated the effects of age on the daytime and nighttime sleep patterns using polysomnography (PSG) of long-haul bus drivers working fixed night or day shifts. A total of 124 drivers, free of sleep disorders and grouped according to age ( ± 5.64%); P ≤ 0.05], which was greater in younger drivers. These findings are inconsistent with the notion that older night workers are more adversely affected than younger night workers by the challenge of attempting to rest during the day.

Introduction: Sleepiness is responsible for a considerable proportion of traffi c accidents. It is thus an important traffi c safety issue to fi nd a robust, objective and practical way to estimate the amount of time a person has been awake. To attempt to meet this goal, we investigated the relationship between sleepiness and posture control. Methods: Subjects were kept awake for 36 hours and posturographic data during quiet standing were collected every two hours by means of a force platform. The standing surface (rigid surface or foam surface) and visual (eyes open or eyes closed) conditions were manipulated. Results: In the more challenging conditions (with foam surface and/or eyes closed), the body sway variables derived from the center of the pressure measurement increased signifi cantly when time since awakening became greater than 21 h in almost all subjects. Conclusion: Based on this result, we propose a practical protocol that could robustly assess whether time since awakening was greater than 21 h.

Objetivo descrever o impacto do trabalho em turnos na saúde, no sono e na qualidade de vida de maquinistas ferroviários. Métodos foram avaliados 611 maquinistas (escalas de trabalho 4 x 1 e 6 x 2), por meio de polissonografia, Índice da Qualidade do Sono de Pittsburgh, Índice de Gravidade de Insônia, Questionário de Qualidade de Vida SF-36, Questionário de Horne e Östberg, Capacidade de Trabalho e Escala de Sonolência de Epworth. Resultados os maquinistas apresentaram idade média de 36,6 ± 15,1 anos, 22% apresentaram obesidade e 38,1% risco para doenças cardiovasculares. Em relação ao sono, 64,2% dos maquinistas relataram qualidade ruim de sono, 11,6% apresentaram distúrbios do sono e 29,3% sonolência excessiva. Os resultados da polissonografia mostraram que 36,1% deles apresentaram apneia do sono e 47,2% demonstraram eficiência do sono reduzida. Além disso, os maquinistas apresentaram baixos índices de qualidade de vida, especialmente os da escala 4 x 1. Conclusão é possível afirmar, na população estudada, que a exposição ao trabalho em turnos, a rotatividade inversa, pouco tempo dispensado às folgas e horas extras de trabalho estão associados a danos ao bem-estar, saúde, sociabilização e ao sono de qualidade desses trabalhadores e que provavelmente os fatores relacionados aos turnos de trabalho contribuem para esses danos.

Background Congenital disorders of glycosylation (CDG) are a growing group of rare genetic disorders. The most common CDG is phosphomannomutase 2 (PMM2)-CDG which often has a severe clinical presentation and life-limiting consequences. There are no approved therapies for this condition. Also, there are no validated disease-specific quality of life (QoL) scales to assess the heterogeneous clinical burden of PMM2-CDG which presents a challenge for the assessment of the disease severity and the impact of a certain treatment on the course of the disease. Aim and methods This study aimed to identify the most impactful clinical signs and symptoms of PMM2-CDG, and specific patient and observer reported outcome measures (PROMs and ObsROMs, respectively) that can adequately measure such impact on patients’ QoL. The most burdensome signs and symptoms were identified through input from the CDG community using a survey targeting PMM2-CDG families and experts, followed by family interviews to understand the real burden of these symptoms in daily life. The list of signs and symptoms was then verified and refined by patient representatives and medical experts in the field. Finally, a literature search for PROMs and ObsROMs used in other rare or common diseases with similar signs and symptoms to those of PMM2-CDG was performed. Results Twenty-four signs/symptoms were identified as the most impactful throughout PMM2-CDG patients’ lifetime. We found 239 articles that included tools to measure those community-selected PMM2-CDG symptoms. Among them, we identified 80 QoL scales that address those signs and symptoms and, subsequently, their psychometric quality was analysed. These scales could be applied directly to the PMM2-CDG population or adapted to create the first PMM2-CDG-specific QoL questionnaire. Conclusion Identifying the impactful clinical manifestations of PMM2-CDG, along with the collection of PROMs/ObsROMs assessing QoL using a creative and community-centric methodology are the first step towards the development of a new, tailored, and specific PMM2-CDG QoL questionnaire. These findings can be used to fill a gap in PMM2-CDG clinical development. Importantly, this methodology is transferable to other CDG and rare diseases with multiple signs and symptoms.