本文選題：醫(yī)務(wù)人員 + 職業(yè)緊張��； 參考：《山西醫(yī)科大學(xué)》2014年碩士論文

【摘要】：目的： 探明醫(yī)療行業(yè)從業(yè)人員職業(yè)緊張狀況以及職業(yè)緊張狀況相關(guān)的變量并對其關(guān)系進行研究。以職業(yè)緊張作為自變量，個體身心健康作為因變量，探究職業(yè)滿意和職業(yè)倦怠在其中所起到的作用，以及職業(yè)緊張如何影響個體身心健康。 方法： 研究通過對山西省6個醫(yī)院的2200名被試進行問卷調(diào)研，通過《付出回報失衡量表》，《工作內(nèi)容量表》，《職業(yè)倦怠量表》，《明尼蘇達滿意度量表》、《生命質(zhì)量量表》及《焦慮量表》測量醫(yī)療機構(gòu)從業(yè)者職業(yè)緊張，職業(yè)倦怠，職業(yè)滿意度和身心健康4個方面現(xiàn)狀，研究使用Spss21.0和Amos21.0軟件對數(shù)據(jù)進行分析，采用T檢驗、F檢驗、person相關(guān)分析、回歸分析進行研究，，并通過構(gòu)建模型探討其中關(guān)系。 結(jié)果： 1.在回歸分析中，工作要求顯著預(yù)測一般健康狀況Beta=0.062（P＜0.05），工作要求顯著預(yù)測社會功能Beta=0.053（P＜0.05），自主程度顯著預(yù)測精神健康Beta=0.081（P=0.001）工作要求顯著預(yù)測精神健康Beta=0.055（P＜0.05）、外在付出顯著預(yù)測軀體疼痛Beta=-0.084（P＜0.01），內(nèi)在投入顯著預(yù)測軀體疼痛Beta=0.098（P=0.01），外在付出顯著預(yù)測一般健康狀況Beta=-0.092（P=0.003），內(nèi)在投入顯著預(yù)測一般健康狀況Beta=0.116（P＜0.001）、外在付出顯著預(yù)測精力Beta=-0.120（P＜0.001）、外在付出顯著預(yù)測精神健康Beta=0.122（P＜0.001），回報顯著預(yù)測精神健康Beta=-0.141（P＜0.001），內(nèi)在投入顯著預(yù)測精神健康Beta=0.074（P＜0.05）、回報顯著預(yù)測健康變化Beta=0.112（P＜0.001），內(nèi)在投入顯著預(yù)測健康變化Beta=-0.092（P＜0.01）社會支持顯著預(yù)測焦慮Beta=-0.080（P＜0.01），內(nèi)在投入顯著預(yù)測焦慮Beta=-0.103（P＜0.001）。 2.在結(jié)構(gòu)方程模型中，（1）付出回報對職業(yè)滿意路徑系數(shù)為-0.658（p＜0.001）；（2）工作內(nèi)容對職業(yè)滿意路徑系數(shù)為0.642（p＜0.001）；（3）職業(yè)倦怠對焦慮路徑系數(shù)為0.16（p＜0.001）；（4）工作內(nèi)容對職業(yè)倦怠的路徑系數(shù)為-0.151（p＜0.001）；（5）付出回報對職業(yè)倦怠的路徑系數(shù)為0.537（p＜0.001）；（6）工作滿意對焦慮的路徑系數(shù)為0.765（p＜0.001）；（7）工作內(nèi)容對焦慮的路徑系數(shù)不顯著（p〉0.05）；（8）付出回報對焦慮的路徑系數(shù)不顯著（p〉0.05)。 結(jié)論： 1.不同人口學(xué)變量被試在職業(yè)緊張、職業(yè)倦怠、職業(yè)滿意度和身心健康上存在差異； 2.職業(yè)緊張對于個體的工作倦怠和工作滿意的影響較強，而對于個體身心健康影響較弱； 3.個體對于工作倦怠和工作滿意度的感知會對個體的生命質(zhì)量和焦慮產(chǎn)生影； 4.滿意度作為付出回報和工作內(nèi)容對焦慮的完全中介變量起到作用，而職業(yè)倦怠上不存在中介效應(yīng)。
[Abstract]:Objective: To find out the related variables of occupational stress and occupational stress among medical workers and to study the relationship between them. Taking occupational stress as independent variable and individual physical and mental health as dependent variable, this paper explores the role of job satisfaction and job burnout, and how occupational stress affects individual physical and mental health. Methods: A questionnaire survey was conducted among 2200 subjects in 6 hospitals in Shanxi Province. Job burnout, Minnesota satisfaction scale, quality of Life scale and anxiety scale were used to measure occupational stress and job burnout in medical institutions, including the payback imbalance scale, the Job content scale, the Job Burnout scale, the Minnesota satisfaction scale, the quality of Life scale and the anxiety scale. The present situation of occupational satisfaction and physical and mental health was studied. The data were analyzed by Spss21.0 and Amos21.0 software, the correlation analysis of person with T test and regression analysis were carried out, and the relationship between them was discussed by constructing a model. Results: 1. In regression analysis, Job requirements significantly predicted general health status Beta=0.062(P < 0.05, job requirements significantly predicted social function Beta=0.053(P < 0.05, autonomous degree significantly predicted mental health Beta=0.055(P < 0.05, external pay significantly predicted somatic pain Beta=-0.084(P < 0.01, internal investment significantly. Significant predictor of somatic pain, external payout significantly predicted general health status, internal input significantly predicted general health status Beta=0.116(P < 0. 001, external payout significantly predicted mental health Beta=0.122(P < 0. 001, and return was significantly predicted by external payout, significant predictive energy, mental health Beta=0.122(P < 0. 001, internal input significantly predicted general health status, external payout significantly predicted mental health Beta=0.122(P < 0. 001. Mental health (Beta=-0.141(P < 0. 001), internal input significantly predicted mental health (Beta=0.074(P < 0. 05), return significantly predicted health change (Beta=0.112(P < 0. 001), internal input significantly predicted health change (Beta=-0.092(P < 0. 01) Social support significantly predicted anxiety (Beta=-0.080(P < 0. 01), internal input significantly predicted anxiety (Beta=-0.103(P < 0. 001). 2. In the structural equation model, the path coefficient of payoff to job satisfaction is -0.658 (p < 0.001) the job content is 0.642p < 0.001) job burnout is 0.16p < 0.001 / 4) the path coefficient of job content to job burnout is -0.151p < 0.001n / min) The path coefficient of job satisfaction to anxiety was 0. 765 p < 0. 001) the path coefficient of job content to anxiety was not significant (p > 0. 05) the path coefficient of pay reward to anxiety was not significant (p > 0. 05). Conclusion: 1. There were differences in occupational stress, job burnout, job satisfaction and physical and mental health among subjects with different demographic variables. 2. The effects of occupational stress on job burnout and job satisfaction were stronger than those on individual physical and mental health. 3. The perception of job burnout and job satisfaction will affect the quality of life and anxiety. 4. Satisfaction, as a reward and job content, plays a role in the complete mediating variable of anxiety, but there is no intermediary effect on job burnout.
【學(xué)位授予單位】：山西醫(yī)科大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：B849

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