AthletiCo, 8937 W Grand Avenue, River Grove, IL 60171, USA.
J Athl Train. 2009 Jan-Feb;44(1):58-66. doi: 10.4085/1062-6050-44.1.58.
Recent research in the health care professions has shown that specific personal and environmental characteristics can predict burnout, which is a negative coping strategy related to stressful situations. Burnout has been shown to result in physiologic (eg, headaches, difficulty sleeping, poor appetite), psychological (eg, increased negative self-talk, depression, difficulty in interpersonal relationships), and behavioral (eg, diminished care, increased absenteeism, attrition) symptoms.
To examine the relationship between selected personal and environmental characteristics and burnout among certified athletic trainers (ATs).
Cross-sectional survey.
A demographic survey that was designed for this study and the Maslach Burnout Inventory-Human Services Survey.
A total of 206 ATs employed at National Collegiate Athletic Association (NCAA) institutions as clinical ATs volunteered.
MAIN OUTCOME MEASURE(S): We assessed personal and environmental characteristics of ATs with the demographic survey and measured burnout using the Maslach Burnout Inventory-Human Services Survey. Multiple regression analyses were performed to examine relationships between specific personal and environmental characteristics and each of the 3 subscales of burnout (emotional exhaustion, depersonalization, personal accomplishment).
Most ATs we surveyed experienced low to average levels of burnout. Personal characteristics predicted 45.5% of the variance in emotional exhaustion (P < .001), 21.5% of the variance in depersonalization (P < .001), and 24.8% of the variance in personal accomplishment (P < .001). Environmental characteristics predicted 16.7% of the variance in emotional exhaustion (P = .005), 14.4% of the variance in depersonalization (P = .024), and 10.4% of the variance in personal accomplishment (P = .209). Stress level and coaches' pressure to medically clear athletes predicted ratings on all 3 subscales of burnout.
Our findings were similar to those of other studies of burnout among NCAA Division I ATs, coaches, and coach-teachers. The results also support the Cognitive-Affective Model of Athletic Burnout proposed by Smith. Finally, these results indicate new areas of concentration for burnout research and professional practice.
最近医疗保健领域的研究表明,特定的个人和环境特征可以预测倦怠,这是一种与压力情境相关的消极应对策略。倦怠会导致生理(例如头痛、睡眠困难、食欲不振)、心理(例如增加消极的自我对话、抑郁、人际关系困难)和行为(例如护理减少、旷工增加、人员流失)症状。
研究特定的个人和环境特征与认证运动训练师(AT)倦怠之间的关系。
横断面调查。
为此研究设计的人口统计学调查和 Maslach 倦怠量表-人类服务调查。
共有 206 名在全国大学体育协会(NCAA)机构担任临床 AT 的 AT 自愿参加。
我们使用人口统计学调查评估 AT 的个人和环境特征,并使用 Maslach 倦怠量表-人类服务调查测量倦怠。进行多元回归分析以检查特定的个人和环境特征与倦怠的 3 个分量表(情绪耗竭、去人格化、个人成就感)中的每一个之间的关系。
我们调查的大多数 AT 经历了低到中等水平的倦怠。个人特征预测了情绪耗竭的 45.5%(P<0.001)、去人格化的 21.5%(P<0.001)和个人成就感的 24.8%(P<0.001)的方差。环境特征预测了情绪耗竭的 16.7%(P=0.005)、去人格化的 14.4%(P=0.024)和个人成就感的 10.4%(P=0.209)的方差。压力水平和教练对运动员进行医学许可的压力预测了倦怠的所有 3 个分量表的评分。
我们的研究结果与 NCAA 一级 AT、教练和教练教师倦怠的其他研究相似。结果还支持 Smith 提出的运动倦怠的认知-情感模型。最后,这些结果表明了倦怠研究和专业实践的新集中领域。