内容简介
社会经济地位会影响人们的健康。不管是在发达国家还是发展中国家，都可以发现一个人的社会经济地位越高，他的健康状况越好。从多病因角度来看，除了遗传和物理因素之外，健康问题和疾病主要是由各种各样的社会因素所决定的。根据与健康因果关系的，所有的社会决定因素可以分端因素，中端因素和远端因素三个层次。一些研究已经表端因素生活社会经济地位产生的健康等具有中介作用，但中端因素社会交往是否能够调节社会经济地位产生的健康等却有待检验。本研究以日本和中国的两个城市老年人为例行了大规模的问卷调查和追踪调查，通过SPSS软件和Amos软件的统计分析，建立了社会经济地位、社会交往、生活健康的结构模型，验证了社会交往和生活中介调节作用。该研究系统地探讨了社会经济地位影响城市老年人健康的机制，丰富了不同别和不同年龄老年人社会经济地位与健康关系的结构模型。同时也为制定老年人的相关政策时提供基础数据和建议。
目录
Chapter 1 Introduction
1．1 Population Aging
1．1．1 Global Population Aging
1．1．2 Population Aging in Japan
1．1．3 Population Aging in China
1．2 Literature Review
1．2．1 Distal Factor： Socioeconomic Status and Health
1．2．2 Proximal Factor： The Mechanism of SES-heahh by Healthy Lifestyle
1．2．3 Mid-range Factor： Social Interaction and Health
1．3 Study Objectives and Significance
1．3．1 A Comprehensive View of Prior Study and Analyses
1．3．2 Objectives of Study
1．3．3 Significance of Study
1．4 Study Design
1．5 Data and Location
1．5．1 profile of Tibet Autonomous Region
1．5．2 Profile of Tama City
1．6 Statistical Methods
1．7 framework of Dissertation References
Chapter 2 The Mediating Effect of Social Interaction on the Association between Socioeconomic Status and Health Status among Chinese Elderly in Tibet
2．1 Background and Issue
2．2 Methods
2．2．1 Sample
2．2．2 Data Collection
2．2．3 Hypothesized Model
2．2．4 Statistical Analysis
2．3 Results
2．3．1 Frequency Distribution of Characteristics of Samples
2．3．2 Measurement Model
2．3．3 Structural Model
2．4 Discussion
2．5 Conclusions
References
Chapter 3 The Mediating Effect of Social Interaction on the Association between Socioeconomic Status and Health Status among Japanese Elderly in Tama City ．．
3．1 Introduction
3．2 Methods
3．2．1 Research Population
3．2．2 Measures
3．2．3 Statistical Analyses
3．2．4 Hypothesis
3．3 Results
3．3．1 Distribution of Main Variables
3．3．2 Bivariate Analysis
3．3．3 Structural Analysis
3．4 Discussion
3．5 Conclusion
References
Chapter 4 The Effects of Socioeconomic Status and Personal Behaviors on Health among Suburban Japanese Community-dwelling Elderly over Six-year Follow -up
4．1 Introduction
4．2 Material and Methods
4．2．1 Data
4．2．2 Variables
4．2．3 Research Hypothesis
4．2．4 Statistical Analyses
4．3 Results
4．3．1 Bivariate Correlation Analysis Results
4．3．2 Survival Analysis Results
4．3．3 Factor Analysis Results
4．3．4 Structural Analysis Results
4．4 Discussion
4．5 Conclusions
References
Chapter 5 Conclusions and Implications
5．1 Main Findings
5．2 Comparison between Japan and China
5．3 Implications
5．4 Strengths of the Study
5．5 Limitations and Future Issue
References
APPENDIX A Questionnaire for Tibet Autonomous Region
APPENDIX B Questionnaires for Tama City