The Effect To Quality Of Life Caused By Occupational Stress Of Life Insurance Sale

Objective: With the rapid development of science and technology and social progress, people's work and significantly accelerate the pace of life, coupled with the gradual deepening of China's reform and opening up, economic transition, technological innovation, business failures, recovery, laid off, job openings, jobs, etc. of the workers the knowledge, skills, competitiveness, adaptability and efficiency of a higher demand. Thus due to the instability of employment status, role change, interpersonal conflicts, occupational stress (Occupational stress) has become the Occupational Health and Occupational Medicine of the most outstanding problem. Occupational stress has been recognized as occupational hazards factor, directly or indirectly harm people's health and working ability, quality of life.As health is a complex, multidimensional phenomenon of biology and sociology, how to multi-dimensional health content into measurable quantitative content, and use a comprehensive measure expressed, has become the focus of an international scale.Some foreign researchers have begun to explore the use of quality of life assessment of the health status of different groups of people and influencing factors, but the life insurance salesmen on their quality of life indicators of occupational stress and the impact has not been reported. This study used occupational stress, quality of life such as life insurance salesmen scale systematic survey aimed at is to investigate the economic situation and the management mode, life insurance marketing Cunzai Members of occupational stress, individual stress reaction factor, especially professional stress on quality of life among life insurance marketing factors, and thus for the development of life insurance marketing staff to reduce the tension response, improve the quality of life of the preventive measures related to reference and theoretical basis.Objects and Methods: This cross-sectional survey study, using cluster random sampling, three life insurance companies for the 500 marketers surveyed, with the occupational stress norm for comparison, as life insurance salesmen mostly 40-50 years old, so only 40-50 years old, Secretary of the wages more than 1 year old marketing staff questionnaires, in order to eliminate bias in the age mix. Survey included: demographic characteristics, occupational stress scale (OS IR), Quality of Life Scale (SF-36). The scales are used in China, was revised and confirmed in the Chinese population has a good application letter reliability and validity, in the investigation process taken by the investigator training, briefings and hand checking of the quality control measures. Application epidata3.0 software data entry, the data logic troubleshooting; application Spss13.0 for Windows statistics package to analyze the data, using mean and standard deviation are the statistical description of the measurement data, ANOVA, Pearson correlation analysis, using stepwise regression equation for factor analysis, statistical significance is defined asα= 0.05 (bilateral).Results: The survey of life insurance marketing staff in gender, education level significantly different composition.1. Occupational Stress Survey Results: Members of the professional role of marketing features (ORQ), individual stress and strain (PSQ), the individual capacity to respond (PRQ) scores were 159.87±27.28, 109.60±29.16 and 117.73±17.39, respectively, the norm was 162.9±27.0, 91.0±17.2 and 129.2±17.7 difference was not statistically significant. Marketing staff in the survey, men's occupational role characteristics, individual stress response, the individual capacity to respond scores were 167.78±23.93,117.55±26.16 and 1116.92±17.39, females were 153.38±28.17, 103.53±29.92 and 118.35 Shi 17.61, both significantly (P <0.05). Marketing of Professional role characteristics, individual stress response and education level were negatively correlated with the degree of response resources, the increasing of the correlation coefficient do is - 0.40, -0.40,0.30, P <0.05. by academic groups, professional tasks in high school and college groups showed no significant difference (P> O.05), the following in high school and high school, college and high school groups have the following qualifications statistical significance P <0.05, in tense reaction and response resources, universities, high schools, three high school degree difference between groups was significant P <0.05. Occupational stress scores will be converted to the mean number of 50, standard deviation score of 10 compared with the norm, overweight men in the mission, business stress, psychological stress, physical strain belonging to moderate occupational stress. Less social support, a low social support.2. Quality of life survey and assessment of results: the quality of life marketers composite score, physical dimension score and the psychological dimensions of evaluation of evaluation scores were 75.49±13.14,80.00±11.33,56.20±12.96. Marketers surveyed, men and women comprehensive quality of life score, physical health and mental health evaluation scores were statistically significant differences in evaluation scores (P <0. 05); quality of life scores and the level of education increase with the rising trend, the correlation coefficients were 0.38,0.30,0.40,0.34,0.43,0.41,0.40,0.42,0.42,0.42. P <0.05.3. The multiple regression analysis, impact assessment of marketing staff quality of life scores, physical dimensions of evaluation scores, the impact of mental health evaluation scores were the same for both role overload, social support, responsibility, working environment.