Prevalence of burnout by social demographic factors and salivary biomarkers through Fourier transform infrared spectroscopy in military police officers of the São Paulo health care team who worked during Covid-19

Michael Bedros ARSENIAN, Élcio Magdalena GIOVANI
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Abstract

ABSTRACT Objective: Study the prevalence of burnout and the salivary biomarkers in military police officers in the São Paulo health-care team who worked during the Covid-19 pandemic in Brazil. Method: An observational cross-sectional study was conducted in a sample of 104 participants distinguished by age, skin color, gender, military rank, function performed, length of service, use of medications, smoking, alcohol consumption, and income. The analysis of the social demographic data collected used an adapted Maslach Burnout Inventory and saliva examination through Fourier transform infrared spectroscopy. The statistical tests of chi-square, PLS-DA, and hypothesis were fixed at the 95% confidence. Results: The social demographic indicators presented statistical association with burnout, with chi-square 62.72 (p<0.05). The prevalence of burnout (80.77%) and risk of development (19.23%) were observed. The presence of biomarkers in saliva (amide, genetic fragments and polysaccharides) in those experiencing burnout aligned with current literature. Conclusion: Of the total sample, 80.77% had burnout and 19.23% risk of developing the disease. Young white women, in the role of health assistants, with median income between 3 and 6 times the minimum wage and with less than 10 years of service`s length had the highest prevalence of burnout in relation to their peers. There was an association of social demographic indicators with measured stress levels. Salivary biomarkers were also associated with stress in the initial phase of burnout. There is a pressing need for further studies, aiming to support greater knowledge for this population researched.
通过傅里叶变换红外光谱分析圣保罗医疗团队军警在Covid-19期间工作的社会人口因素和唾液生物标志物的倦怠患病率
【摘要】目的:研究巴西新冠肺炎大流行期间圣保罗卫生保健队军警人员的职业倦怠患病率及唾液生物标志物。方法:对104名年龄、肤色、性别、军衔、执行职能、服务年限、使用药物、吸烟、饮酒和收入不同的参与者进行观察性横断面研究。对收集的社会人口统计数据进行分析,采用了改良的Maslach倦怠量表,并通过傅立叶变换红外光谱进行唾液检测。卡方、PLS-DA和假设的统计检验均为95%置信度。结果:社会人口学指标与职业倦怠存在统计学相关性,卡方为62.72 (p<0.05)。观察倦怠率(80.77%)和发展危险度(19.23%)。在那些经历过倦怠的人的唾液中存在生物标志物(酰胺、基因片段和多糖),这与目前的文献一致。结论:职业倦怠率为80.77%,发生疾病风险率为19.23%。从事保健助理工作的年轻白人妇女,收入中位数为最低工资的3至6倍,工作年限不到10年,与同龄人相比,她们的职业倦怠率最高。社会人口指标与测量的压力水平存在关联。唾液生物标志物也与倦怠初期的压力有关。迫切需要进一步的研究,旨在为这一研究人群提供更多的知识。
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