我国职业人群“职业倦怠-工作投入连续体”5种状态分布及影响因素

Five profiles and influencing factors of burnout-engagement continuum in working populations of China

  • 摘要:
    背景 随着积极心理学研究兴起和深入,国际上对职业倦怠理论研究也不断深入,提出了一些新的理论模式,如“职业倦怠-工作投入连续体”模式,而国内尚缺乏实证研究和应用。
    目的 分析我国职业人群“职业倦怠-工作投入连续体”模式中工作投入、低效率、过度劳累、淡漠和倦怠5种状态的现状及其影响因素。
    方法 于2019年8—10月、2020年6—9月期间,采用多阶段分层整群抽样方法,在我国东、中、西部地区10省(市)选择教师、消防员、制造业员工、医务人员、航空乘务员和交通警察共6类典型行业重点职业人群27344名员工作为研究对象进行横断面调查研究。采用《职业倦怠通用量表》《职业紧张测量核心量表》分别调查职业倦怠和职业紧张情况。计数资料率的比较采用χ2检验,采用二元logistic回归分析上述5种状态的影响因素。
    结果 研究对象中处于工作投入、低效率、过度劳累、淡漠和倦怠这5种状态者占比分别为24.4%、61.9%、31.9%、12.7%和11.8%。工作投入状态占比较高的为空乘人员(35.7%)、消防员(29.0%)、交通警察(28.5%)和制造业人员(26.5%)。低效率状态占比较高的为医务人员(62.9%)和制造业人员(61.8%)。过度劳累状态占比较高的为教师(39.2%)、交通警察(37.2%)和医务人员(35.5%)。淡漠状态占比较高的为交通警察(17.9%)、医务人员(14.3%)和教师(13.4%)。倦怠状态占比较高的为交通警察(16.9%)、医务人员(13.4%)和教师(13.3%)。多因素分析结果表明,性别、年龄、文化水平、婚姻状况、周工作时间、工龄、月收入、轮班作业、吸烟情况、饮酒情况、行业和职业紧张等因素进入了工作投入、低效率、过度劳累、淡漠和倦怠状态的回归方程。相较于职业紧张4个维度低评分组人员,高评分组人员出现过度劳累状态的风险(OR为1.456~2.970)、淡漠状态的风险(OR为1.306~4.092)和倦怠状态的风险(OR为1.302~4.102)较高。空乘人员(OR=0.296)和消防员(OR=0.329)发生倦怠的风险低于教师,空乘人员(OR=0.392)和消防员(OR=0.466)出现淡漠状态风险低于教师。
    结论 我国6种典型职业人群“职业倦怠-工作投入连续体”5种状态中,低效率的检出率最高,其次为过度劳累,倦怠最低。性别、年龄、文化水平、婚姻状况、周工作时间、工龄、月收入、轮班作业、吸烟情况、饮酒情况、行业和职业紧张均对5种状态有不同程度的影响,行业和职业紧张影响较大。

     

    Abstract:
    Background With the rise and deepening of positive psychology research, theoretical research on job burnout is also deepening worldwide, and some new theoretical models are proposed, such as the burnout-engagement continuum, but there is still a lack of empirical research and application in China.
    Objective To analyze the current situation and influencing factors of five profiles in the burnout-engagement continuum in working populations of China: job engagement, ineffective, overextended, disengaged, and burnout.
    Methods From August to October 2019 and June to September 2020, a total of 27344 subjects of key occupations in six typical industries, including teachers, firefighters, manufacturing workers, medical staff, flight attendants, and traffic police, were selected from 10 provinces (cities) in the eastern, middle, and western regions of China by multistage stratified cluster sampling method for cross-sectional investigation. Maslach Burnout Inventory-General Survey and Core Occupational Stress Scale were used to evaluate job burnout and occupational stress respectively. χ2 test was used to compare rates of count data. Binary logistic regression was used for multivariate analysis of the five profiles.
    Results Among the subjects, 24.4%, 61.9%, 31.9%, 12.7%, and 11.8% were the prevalence rates of job engagement, ineffective, overextended, disengaged, and burnout, respectively. Flight attendants (35.7%), firefighters (29.0%), traffic police (28.5%), and manufacturing workers (26.5%) had high prevalence rates of job engagement profile. Medical stuff (62.9%) and manufacturing workers (61.8%) had high prevalence rates of ineffective profile. Teachers (39.2%), traffic police (37.2%), and medical stuff (35.5%) had high prevalence rates of overextended profile. Traffic police (17.9%), medical staff (14.3%), and teachers (13.4%) had high prevalence rates of disengaged profile. Traffic police (16.9%), medical staff (13.4%), and teachers (13.3%) had high prevalence rates of burnout profile. The results of multivariate analysis showed that gender, age, education level, marital status, weekly working hours, length of service, income per month, shift work, smoking, drinking, industry, and occupational stress entered into the regression equations of job engagement, ineffective, overextended, disengaged, and burnout. The risks of overextended (OR=1.456-2.970), disengaged (OR=1.306-4.092), and burnout (OR=1.302-4.102) among the high rating groups of the four factors of occupational stress were higher than those among the low rating groups. Flight attendants (OR=0.296) and firefighters (OR=0.329) had lower risks of burnout than teachers, and flight attendants (OR=0.392) and firefighters (OR=0.466) had lower risks of disengaged than teachers.
    Conclusion Among the prevalence rates of the five profiles in the burnout-engagement continuum in the 6 typical occupational populations in China, ineffective profile is the highest, followed by overextended, and burnout is the lowest. Gender, age, education level, marital status, weekly working hours, length of service, income per month, shift work, smoking, drinking, industry, and occupational stress have different effects on the five profiles, but industry and occupational stress have greater impacts on job burnout.

     

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