Torres-Harding Susan R, Jason Leonard A, Taylor Renee R
DePaul University, Center for Community Research, Chicago, Illinois, USA.
J Behav Med. 2002 Apr;25(2):99-113. doi: 10.1023/a:1014850819995.
This study examined the roles of ethnicity, gender, and socioeconomic status (SES) in predicting fatigue severity, symptoms, medical utilization, and attributions among a sample of individuals with chronic fatigue. Using path analysis, a model was tested and revised. In the new model, gender predicted fatigue, ethnicity predicted attributions, fatigue predicted medical utilization and attributions, and attributions predicted medical utilization. Women reported more fatigue and were more likely to feel that stress and depression were causing their fatigue. Higher-SES participants were more likely to cite stress and overwork as causing their fatigue. Latinos reported more physical symptoms than African Americans and Whites. The implications of these results are discussed.
本研究探讨了种族、性别和社会经济地位（SES）在预测慢性疲劳个体样本中的疲劳严重程度、症状、医疗利用情况及归因方面所起的作用。使用路径分析方法对一个模型进行了检验和修正。在新模型中，性别预测疲劳，种族预测归因，疲劳预测医疗利用情况和归因，而归因又预测医疗利用情况。女性报告的疲劳程度更高，且更有可能认为压力和抑郁导致了她们的疲劳。社会经济地位较高的参与者更有可能将压力和过度工作视为导致其疲劳的原因。拉丁裔报告的身体症状比非裔美国人和白人更多。文中讨论了这些结果的意义。
