Can family resources and place of residence play a beneficial role in explaining burnout levels in working men?

Maciej Załuski, M. Makara-Studzińska
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Abstract

Introduction and Objective. The phenomenon of occupational burnout is a common factor affecting employees’ health. In a study on occupational burnout it may happen that variables that are not among the main predictors of burnout can noticeably affect burnout and the main independent variables. The aim of this study was to verify hypotheses about the role of demographic variables in explaining levels of stress and burnout, based on the example of men working as firefighters and 112 emergency operators. Materials and Method. A total of 823 men employed as firefighters and 112 emergency number operators were surveyed. The study applied the LINK Occupational Burnout Questionnaire, the PSS-10 Perceived Stress Scale and a demographic questionnaire. It was followed by an analysis of covariance of qualitative variables and quantitative predictors (ANCOVA). Results . The study showed that living in rural areas was associated with lower levels of burnout among the men in the examined group. A similar relationship was detected for marital status, having children and secondary education. The other main variable, the level of perceived stress and age, showed typical associations with occupational burnout. Conclusions . The search for the causes of occupational burnout should not be narrowed only to stressors related to the demands of the workplace. Demographic variables are important elements of an employee’s non-work environment and often a source of personal strengths. However, it should be remembered that the same factor can have both a protective function as well as a source of additional stress.
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家庭资源和居住地能否对解释职业男性的职业倦怠水平起到有益作用?
引言和目的。职业倦怠现象是影响员工健康的一个常见因素。在职业倦怠研究中,可能会出现这样的情况,即不属于职业倦怠主要预测因素的变量会明显影响职业倦怠和主要自变量。本研究的目的是以从事消防员和 112 急救操作员工作的男性为例,验证人口统计学变量在解释压力和职业倦怠水平方面所起作用的假设。材料和方法。共调查了 823 名男性消防员和 112 名紧急电话接线员。研究采用了 LINK 职业倦怠问卷、PSS-10 感知压力量表和人口统计学问卷。然后对定性变量和定量预测因素进行协方差分析(方差分析)。结果 .研究表明,生活在农村地区的受试男性职业倦怠程度较低。婚姻状况、有无子女和中等教育程度也有类似的关系。其他主要变量、感知压力水平和年龄与职业倦怠有典型的关联。结论 .寻找职业倦怠的原因不应局限于与工作场所要求有关的压力因素。人口统计学变量是员工非工作环境的重要因素,通常也是个人力量的来源。然而,应当记住的是,同一因素既可能具有保护功能,也可能成为额外压力的来源。
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