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Effect of occupational mobility and health status on life satisfaction of Chinese residents of different occupations: logistic diagonal mobility models analysis of cross-sectional data on eight Chinese provinces

机译:职业流动性和健康状况对不同职业中国居民生活满意度的影响:中国八个省份横断面数据的逻辑对角流动模型分析

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Background Life satisfaction research in China is in development, requiring new perspectives for enrichment. In China, occupational mobility is accompanied by changes in economic liberalization and the emergence of occupational stratification. On the whole, however, occupational mobility has rarely been used as an independent variable. Health status is always used as the observed or dependent variable in studies of the phenomenon and its influencing factors. A research gap still exists for enriching this field. Methods The data used in this study were obtained from the China Health and Nutrition Survey (CHNS). The study included nine provinces in China. The survey was conducted from 1989 to 2009.Every survey involved approximately 4400 families or 19,000 individual samples and parts of community data. Results First, we built a 5?×?5 social mobility table and calculated life satisfaction of Chinese residents of different occupations in each table. Second, gender, age, marital status, education level, annual income and hukou, health status, occupational mobility were used as independent variables. Lastly, we used logistic diagonal mobility models to analyze the relationship between life satisfaction and the variables. Model 1 was the basic model, which consisted of the standard model and controlled variables and excluded drift variables. Model 2 was the total model, which consisted of all variables of interest in this study. Model 3 was the screening model, which excluded the insignificant drift effect index in Model 2. Conclusion From the perspective of the analysis of controlled variables, health conditions, direction, and distance of occupational mobility significantly affected life satisfaction of Chinese residents of different occupations. (1) From the perspective of health status, respondents who have not been sick or injured had better life satisfaction than those who had been sick or injured. (2) From the perspective of occupational mobility direction, the coefficients of occupational mobility in the models are less than 0, which means that upward mobility negatively affects life satisfaction. (3) From the perspective of distance, when analyzing mobility distance in Models 2 and 3, a greater distance indicates better life satisfaction.
机译:背景技术中国的生活满意度研究正在发展中,需要新的视角来丰富。在中国,职业流动伴随着经济自由化的变化和职业分层的出现。总体而言,职业流动性很少被用作自变量。在研究该现象及其影响因素时,始终将健康状况用作观察或因变量。丰富这一领域的研究差距仍然存在。方法本研究使用的数据来自中国健康与营养调查(CHNS)。该研究包括中国的九个省。该调查是从1989年至2009年进行的,每个调查涉及约4400个家庭或19000个个体样本以及部分社区数据。结果首先,我们建立了一个5××5的社会流动性表,并在每个表中计算了不同职业的中国居民的生活满意度。其次,将性别,年龄,婚姻状况,受教育程度,年收入和户口,健康状况,职业流动性作为自变量。最后,我们使用逻辑对角线流动性模型来分析生活满意度和变量之间的关系。模型1是基本模型,由标准模型,控制变量和排除的漂移变量组成。模型2是总模型,由本研究中所有感兴趣的变量组成。模型3是筛选模型,其中不包括模型2中微不足道的漂移效应指标。结论从控制变量,健康状况,方向和职业迁移距离分析的角度来看,该模型显着影响了不同职业的中国居民的生活满意度。 (1)从健康状况的角度来看,未生病或受伤的受访者的生活满意度要高于已生病或受伤的受访者。 (2)从职业迁移方向看,模型中的职业迁移系数小于0,这意味着向上迁移对生活满意度产生负面影响。 (3)从距离的角度来看,在模型2和模型3中分析移动距离时,距离越大表示生活满意度越高。

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