Rohwedder Luiza Salvador, Triches Maria Isabel, Sousa Rosângela Aparecida de, Sato Tatiana de Oliveira, Mininel Vivian Aline
Nursing Department, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Physical Therapy Department, Postgraduate Program in Physical Therapy, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Sleep Sci. 2024 Apr 9;17(4):e370-e380. doi: 10.1055/s-0044-1782172. eCollection 2024 Dec.
To investigate psychosocial factors at work, sleep characteristics, and the correlation between these aspects in healthcare workers. A cross-sectional e-survey study was conducted with 125 workers of the Brazilian healthcare system, mostly from the Southeast region, from June 2021 to April 2022. Self-administered questionnaires in Google Forms were used to collect data on personal and occupational characteristics, psychosocial factors (Copenhagen Psychosocial Questionnaire), and sleep quality (Pittsburg Sleep Quality Index). Descriptive statistics and a point biserial correlation test were performed. The most reported factors in the were burnout (86%), stress (81%), emotional demands (75%), work pace (61%), and work-family conflicts (55%). Most participants were classified as sleepers (74%), especially nursing technicians/assistants (86%). Burnout (r = 0.33) and inadequate predictability (r = 0.30) were associated with poor sleep quality. Intervention strategies to decrease burnout and increase predictability at work may assist in improving sleep quality among healthcare workers.
调查医护人员工作中的心理社会因素、睡眠特征以及这些方面之间的相关性。
2021年6月至2022年4月，对巴西医疗系统的125名工作人员进行了一项横断面电子调查研究，这些人员大多来自东南部地区。通过谷歌表单中的自填式问卷收集个人和职业特征、心理社会因素（哥本哈根心理社会问卷）以及睡眠质量（匹兹堡睡眠质量指数）的数据。进行了描述性统计和点二列相关检验。
报告最多的因素是职业倦怠（86%）、压力（81%）、情感需求（75%）、工作节奏（61%）和工作家庭冲突（55%）。大多数参与者被归类为睡眠质量差的人（74%），尤其是护理技术员/助理（86%）。职业倦怠（r = 0.33）和可预测性不足（r = 0.30）与睡眠质量差有关。
减少职业倦怠和提高工作可预测性的干预策略可能有助于改善医护人员的睡眠质量。
