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Correlation Coefficients: Appropriate Use and Interpretation.相关系数:合理使用与解释。
Anesth Analg. 2018 May;126(5):1763-1768. doi: 10.1213/ANE.0000000000002864.
2
Multilevel Examination of Job Satisfaction and Career Intentions of Collegiate Athletic Trainers: A Quantitative Approach.多层次考察高校体育教练的工作满意度和职业意向:一种定量方法。
J Athl Train. 2018 Jan;53(1):80-87. doi: 10.4085/1062-6050-52.11.27. Epub 2017 Nov 28.
3
Pediatric Resident Burnout and Attitudes Toward Patients.儿科住院医师倦怠与对患者的态度。
Pediatrics. 2017 Mar;139(3). doi: 10.1542/peds.2016-2163.
4
Organizational Infrastructure in the Collegiate Athletic Training Setting, Part I: Quality-of-Life Comparisons and Commonalities Among the Models.大学体育训练环境中的组织基础设施,第一部分:各模式之间的生活质量比较与共性
J Athl Train. 2017 Jan;52(1):12-22. doi: 10.4085/1062-6050-51.12.19. Epub 2016 Nov 22.
5
Personality Traits and Burnout Among Athletic Trainers Employed in the Collegiate Setting.大学体育教练的人格特质与职业倦怠
J Athl Train. 2016 Jun 2;51(6):454-9. doi: 10.4085/1062-6050-51.7.08. Epub 2016 Jul 14.
6
Addiction to Work: A Critical Review of the Workaholism Construct and Recommendations for Assessment.工作成瘾:对工作狂概念的批判性综述及评估建议
J Psychosoc Nurs Ment Health Serv. 2015 Oct;53(10):48-59. doi: 10.3928/02793695-20150923-04.
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Workaholism: are physicians at risk?工作狂:医生有风险吗?
Occup Med (Lond). 2014 Sep;64(6):410-6. doi: 10.1093/occmed/kqu081. Epub 2014 Jul 14.
8
Perceptions of wellness and burnout among certified athletic trainers: sex differences.认证运动训练师对健康和倦怠的看法:性别差异。
J Athl Train. 2013 May-Jun;48(3):424-30. doi: 10.4085/1062-6050-48.2.07. Epub 2013 Feb 20.
9
Demographic and occupational correlates of workaholism.工作狂的人口统计学和职业相关因素。
Psychol Rep. 2012 Apr;110(2):547-54. doi: 10.2466/03.09.17.PR0.110.2.547-554.
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Choosing a career in athletic training: exploring the perceptions of potential recruits.选择运动训练领域的职业:探索潜在招募对象的看法。
J Athl Train. 2008 Jan-Mar;43(1):70-9. doi: 10.4085/1062-6050-43.1.70.

运动员工作成瘾风险及其与工作-家庭冲突和倦怠的关系。

Work-Addiction Risk in Athletic Trainers and Its Relationship to Work-Family Conflict and Burnout.

机构信息

Department of Kinesiology, University of Connecticut, Storrs.

Korey Stringer Institute, University of Connecticut, Storrs.

出版信息

J Athl Train. 2022 Mar 1;57(3):225-233. doi: 10.4085/JAT0348-20. Epub 2020 Dec 22.

DOI:10.4085/JAT0348-20
PMID:35302614
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8935643/
Abstract

CONTEXT

Individual factors can affect numerous work-life interface outcomes, including work-family conflict and burnout. Recently, the concept of work addiction has been investigated as an individual factor that could affect numerous outcomes. Despite the large body of literature investigating work-family conflict and burnout in athletic training, little is known about the incidence of work addiction or its potential effect on these outcomes.

OBJECTIVE

To gather descriptive data on the work-addiction risk and examine the effect work addiction may have on work-life interface outcomes in athletic training.

DESIGN

Cross-sectional study.

SETTING

Online web-based survey.

PATIENTS OR OTHER PARTICIPANTS

Athletic trainers (ATs) employed in all work settings were recruited to participate via social media and email distribution lists. Data from 226 (n = 65, 28.8% males; n = 161, 71.2% females) ATs, currently employed in more than 13 work settings, were included in data analysis.

MAIN OUTCOME MEASURE(S): The online questionnaire consisted of 4 main sections: demographic questions, work-family conflict scale, Copenhagen Burnout Inventory, and the Work Addiction Risk Test. We calculated Mann-Whitney U and Kruskal-Wallis tests to determine if group differences existed. Simple linear regressions were used to assess if work-addiction risk scores predicted burnout and work-family conflict.

RESULTS

The ATs experienced moderate levels of personal (55.0 ± 19.1) and work-related (50.0 ± 16.0) burnout and were at medium risk for work addiction (58.3 ± 11.2). No demographic differences were observed in burnout or work-family conflict scores, but these scores differed based on the work-addiction risk. Women were more at risk for compulsive tendencies than were men. Work-addiction risk scores predicted both burnout and work-family conflict, but only a relatively small percentage of the variability was explained.

CONCLUSIONS

Those ATs at higher risk for work addiction reported higher levels of burnout. Because of the medium risk for work addiction among ATs, work-addiction mitigation strategies should be implemented by individuals and organizations.

摘要

背景

个体因素会影响众多工作-生活界面的结果,包括工作-家庭冲突和倦怠。最近,工作成瘾的概念已被视为可能影响众多结果的个体因素进行了研究。尽管有大量文献研究了运动训练中的工作-家庭冲突和倦怠,但对于工作成瘾的发生率及其对这些结果的潜在影响知之甚少。

目的

收集有关工作成瘾风险的描述性数据,并研究工作成瘾可能对运动训练中工作-生活界面结果的影响。

设计

横断面研究。

设置

在线网络调查。

患者或其他参与者

招募在各种工作环境中工作的运动训练师(ATs)通过社交媒体和电子邮件分发列表参与。数据来自 226 名(n = 65,男性占 28.8%;n = 161,女性占 71.2%)目前在 13 个以上工作环境中工作的 ATs,被纳入数据分析。

主要观察指标

在线问卷由 4 个主要部分组成:人口统计学问题、工作-家庭冲突量表、哥本哈根倦怠量表和工作成瘾风险测试。我们计算了 Mann-Whitney U 和 Kruskal-Wallis 检验,以确定是否存在组间差异。简单线性回归用于评估工作成瘾风险评分是否预测倦怠和工作-家庭冲突。

结果

ATs 经历了中等水平的个人(55.0 ± 19.1)和与工作相关的(50.0 ± 16.0)倦怠,并且处于工作成瘾的中等风险(58.3 ± 11.2)。在倦怠或工作-家庭冲突评分方面,没有观察到人口统计学差异,但这些评分因工作成瘾风险而异。女性比男性更容易出现强迫倾向。工作成瘾风险评分预测了倦怠和工作-家庭冲突,但仅解释了相对较小的变异性百分比。

结论

那些工作成瘾风险较高的 ATs 报告了更高水平的倦怠。由于 ATs 工作成瘾的风险较高,个人和组织应实施工作成瘾缓解策略。