Numbering Code	P-PUB01 8H157 LB90	Year/Term	2022 ・ First semester
Number of Credits	2	Course Type	Lecture
Target Year	Professional degree students	Target Student
Language	Japanese and English	Day/Period	Mon.3
Instructor name	KONDO　NAOKI (Graduate School of Medicine Professor)
Outline and Purpose of the Course	In addition to the high-risk approach to individuals at high risk of illness/diseases, the population approach to improving the social environment has become a major trend in public health. In the population approach, it is necessary to consider the differences in the social background of individuals and the resulting health inequalities. By formulating a strategy based on health inequalities, further effects and efficient resource utilization can be expected. This course will teach the basic theories and analytical methods of social epidemiology necessary for such activities. Social epidemiology is a field of epidemiology that describes the social distribution of health events and explores the role of the social environment and social systems as disease risk factors/health promotion factors. Social epidemiology also develops methods to reduce health inequalities and assesses their effectiveness. By doing this, we aim to contribute to the realization of a healthy society in which no one is left behind. After the lectures on the main themes by Prof. Naoki Kondo, Leading experts in the field provide the lectures on their specific topics.
Course Goals	1. Understand the perspective of social epidemiology. 2. Understand the types, evaluation methods, and actual conditions of the main social determinants of health. 3. Understand the related theories of relevant disciplines such as sociology, economics, ethics, behavioral science, and social psychology. 4. Understand the basics of health inequalities assessment methods 5. Understand the basics of how to control health inequalities 6. Have your own awareness and opinion on public health actions and clinical application of social epidemiology.
Schedule and Contents	The following schedule is subject to change. 1. 4/11 An introduction of social epidemiology 2. 4/18 Socio-economic status 3. 4/25 Poverty and social exclusion 4. 5/2 Social disparity 5. 5/19 Cognitive science and political philosophy of inequality 6. 5/16 Social relationships (Daisuke Takagi, the University of Tokyo) 7. 5/20 Lifecourse epidemiology (Takeo Fujiwara, Tokyo Medical and Dental University) 8. 5/23 Social capital 9. 5/30 Gender (Kaori Honjo, Osaka Medical and Pharmaceutical University) 10.6/13 Measurement of health inequalities (Maho Haseda) 11.6/20 Multiple level phenomenon understanding and data analysis 12.6/27 Construction environment (Daisuke Takagi, the University of Tokyo) 13.7/4 Managing health inequalities: Approaching the community 14.7/25 Managing health inequalities: Applications of behavioral science 15.8/1 Review & feedback
Evaluation Methods and Policy	Attendance / lecture quiz 40%, report 60% Report assignments will be presented during the course. About the report: * Up to 2 pages(A4). * Deadline: Noon one week after each lecture day * Specify the assignment name, student ID number, and submission date. * When quoting data, phrases, etc., be sure to indicate the source of them. The list of cited materials should be listed at the end. Copying and pasting long sentences from the Internet is prohibited (for charts and data, it is possible to specify the citation source).
Course Requirements	None
Study outside of Class (preparation and review)	Reading course materials before the class is recommended.
Textbooks	Textbooks/References	社会と健康: 健康格差解消に向けた統合科学的アプローチ, 川上憲人・橋本英樹・近藤尚己（編著）, (東大出版会, 2015), ISBN:978-4-13-060411-6, In Japanese Reading the relevant chapters in this textbook before each lecture is recommended. Non-Japanese speakers may read alternative materials such as "Social Epidemiology 2nd edition(Oxford)" or relevant review papers, searching PubMed.
References, etc.	Social Epidemiology 2nd Edition, Lisa F. Berkman, Ichiro Kawachi, and M. Maria Glymour, (Oxford, 2014), ISBN:9780195377903