Wacker Eva, Fischer Axel, Schorlemmer Julia
FOM Hochschule für Oekonomie und Management Berlin, Institut für Gesundheit und Soziales, Bismarckstr. 107, 10625, Berlin, Germany.
Charité - Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany.
J Occup Med Toxicol. 2021 Apr 16;16(1):13. doi: 10.1186/s12995-021-00303-5.
Analysis on gender related differences in occupational stress and burnout levels usually reveal higher occupational stress and burnout levels for women compared to men, especially in male-dominated working environments. In opposition to group differentiation, more specific gender-related dimensions feminity and masculinity were used in the study to describe individual and work environment characteristics and analyze their effects.
In a cross-sectional design, survey results were linked to steroid levels in hair samples. Data was collected in a German medical services company with 146 employed women age 22-66 years (M = 40.48, SD = 10.38), 58 of them provided hair samples for steroid detection. Feminity and masculinity were measured by Gender Role Orientation Scale GTS+. Two Person-Environment fit scores in feminity and masculinity were calculated by subtracting individual from environment values. Both fit scores were proved as predictors in hierarchical linear regression models predicting burnout and work engagement as well as hair steroids cortisol, cortisone, DHEA, testosterone and progesterone detected by Liquid Chromatography-Mass Spectrometry (LC-MS/MS) as stress biomarkers. Bivariate correlations as well as moderator and mediator analysis were implemented.
After considering age, role clarity, and work organization, Person-Environment fit in feminity still added significant variance explanation (β = .23, ∆ R = .05, p = .003) for burnout. Person-Environment fit in feminity also explained poor variance in work engagement (β = -.29, R = .09, p < .001). Person-Environment fit in masculinity added considerable variance explanation (β = .34, ∆ R = .12, p = 0.018) to cortisol levels after including quantitative demands to the model.
Person-Environment fit in feminity might be inspected as a predictor for burnout and work engagement. Person-Environment fit in masculinity can be taken into consideration as a predictor for hair cortisol as stress biomarker. Feminity and masculinity can be used as personality traits as well as characteristics of work environment, thus providing a particular gender-role related method of differentiation within gender groups. Also, specific methods could be derived for stress and burnout prevention and promotion of work engagement. Representative population studies with bigger samples and longitudinal surveys are needed to better explore the benefits and limitations of this approach.
对职业压力和倦怠水平的性别差异分析通常显示,与男性相比,女性的职业压力和倦怠水平更高,尤其是在男性主导的工作环境中。与群体差异分析不同,本研究使用了更具体的与性别相关的维度——女性气质和男性气质,来描述个体和工作环境特征,并分析它们的影响。
在横断面设计中,将调查结果与头发样本中的类固醇水平相关联。数据收集于一家德国医疗服务公司,该公司有146名年龄在22 - 66岁的在职女性(M = 40.48,SD = 10.38),其中58人提供了头发样本用于类固醇检测。女性气质和男性气质通过性别角色取向量表GTS +进行测量。通过从环境值中减去个体值来计算女性气质和男性气质的两个人 - 环境适配得分。在预测倦怠、工作投入以及通过液相色谱 - 质谱联用仪(LC - MS/MS)检测的头发类固醇皮质醇、可的松、脱氢表雄酮、睾酮和孕酮作为压力生物标志物的分层线性回归模型中,这两个适配得分均被证明是预测指标。实施了双变量相关性分析以及调节和中介分析。
在考虑年龄、角色清晰度和工作组织后,女性气质的人 - 环境适配度仍能显著解释倦怠的方差(β = 0.23,∆R = 0.05,p = 0.003)。女性气质的人 - 环境适配度也能解释工作投入的较差方差(β = -0.29,R = 0.09,p < 0.001)。在模型中纳入定量需求后,男性气质的人 - 环境适配度对皮质醇水平有显著的方差解释(β = 0.34,∆R = 0.12,p = 0.018)。
女性气质的人 - 环境适配度可作为倦怠和工作投入的预测指标进行考察。男性气质的人 - 环境适配度可作为头发皮质醇作为压力生物标志物的预测指标加以考虑。女性气质和男性气质既可以用作人格特质,也可以作为工作环境的特征,从而在性别群体中提供一种特定的与性别角色相关的区分方法。此外,还可以推导出预防压力和倦怠以及促进工作投入的具体方法。需要进行更大样本的代表性人群研究和纵向调查,以更好地探索这种方法的益处和局限性。