Institute of Social Medicine, Occupational Health and Public Health (ISAP), Leipzig University, Ph.-Rosenthal-Str. 55, Leipzig, 04103, Germany.
German Center for Neurodegenerative Diseases (DZNE), RG Psychosocial Epidemiology & Public Health, Greifswald, Germany.
BMC Public Health. 2024 Aug 1;24(1):2083. doi: 10.1186/s12889-024-19599-z.
Within occupational settings, mental health of employees can be affected by complex interactions between individuals and their work environment. The aim of this cross-sectional analysis was to investigate the association between person-environment fit and mental health in employees. Data of n = 568 participants from the LIFE adult cohort study was analysed, including socio-demographic characteristics, three dimensions of person-environment fit (P-E fit), symptoms of depression and anxiety. Assessment took place between 2017 and 2021. Statistical analysis included descriptive analyses as well as generalized linear regression models adjusted for age, gender, socioeconomic status, marital status, and job status. Correlational analysis revealed significant associations between age, marital status, SES, employment status, symptoms of depression and anxiety and P-E fit. According to regression models, greater perceived fit between person and organization was associated with lower depression scores and lower symptoms of anxiety. Higher perceived fit between demands and abilities was significantly related to lower severity of depression and anxiety. Similarly, participants reporting a higher fit between needs and supplies, exhibited less symptom severity regarding depression and anxiety. These results underline the importance of person-environment fit regarding mental health. Finding ways to obtain an optimal balance should not only be recognized as an important factor for health and well-being, but might also be beneficial for organizations and employers in the long-term.
在职业环境中,员工的心理健康可能会受到个人与其工作环境之间复杂相互作用的影响。本横断面分析的目的是研究员工个体与环境匹配程度与心理健康之间的关系。本研究分析了来自 LIFE 成人队列研究的 n=568 名参与者的数据,包括社会人口统计学特征、个体与环境匹配的三个维度(P-E 匹配)、抑郁和焦虑症状。评估于 2017 年至 2021 年进行。统计分析包括描述性分析以及调整年龄、性别、社会经济地位、婚姻状况和工作状况后的广义线性回归模型。相关性分析显示年龄、婚姻状况、社会经济地位、就业状况、抑郁和焦虑症状与 P-E 匹配之间存在显著关联。根据回归模型,个体与组织之间感知到的匹配程度越高,抑郁得分越低,焦虑症状越轻。需求与能力之间感知到的匹配程度越高,与抑郁和焦虑严重程度越低显著相关。同样,报告需求与供给之间匹配程度较高的参与者,抑郁和焦虑的症状严重程度也较低。这些结果强调了个体与环境匹配程度对心理健康的重要性。找到获得最佳平衡的方法不仅应被视为健康和幸福的重要因素,从长远来看,对组织和雇主也可能有益。