John L. Loeb and Frances Lehman Loeb Professor of Social Epidemiology
Chair, Department of Social and Behavioral Sciences
Monika Szperka email@example.com
Ichiro Kawachi, MB.ChB., Ph.D., is the John L. Loeb and Frances Lehman Loeb Professor of Social Epidemiology, and Chair of the Department of Social and Behavioral Sciences at the Harvard School of Public Health. Kawachi received both his medical degree and Ph.D. (in epidemiology) from the University of Otago, New Zealand. He has taught at the Harvard School of Public Health since 1992.
Kawachi is the co-editor (with Lisa Berkman) of the first textbook on Social Epidemiology, published by Oxford University Press in 2000 (new & revised edition published in 2014, with Lisa Berkman & Maria Glymour). His other books include Neighborhoods and Health with Lisa Berkman (Oxford University Press, 2003); Globalization and Health with Sara Wamala (Oxford University Press, 2006); Social Capital and Health with S.V. Subramanian & Daniel Kim (Springer, 2008); the Oxford Handbook of Public Health Practice with Charles Guest, Walter Ricciardi & Iain Laing (Oxford University Press, 2013); Global Perspectives on Social Capital and Health (Springer 2013) with Soshi Takao & S.V. Subramanian;and Behavioral Economics and Public Health with Christina Roberto (Oxford University Press, forthcoming). His current NIH-funded R01 project is focused on the longitudinal impacts of community social cohesion/social capital on functional recovery after the March 11, 2011 Great Eastern Japan earthquake and tsunami.
In 2013, he launched a massive, open online course (MOOC) through HarvardX called “Health and Society” (PHx 201), in which 32,000 participants registered from throughout the world. Kawachi is the Co-Editor in Chief (with S.V. Subramanian) of the international journal Social Science & Medicine. He is an elected member of the Institute of Medicine of the US National Academy of Sciences.
Co-Director, Robert Wood Johnson Foundation Health and Society Scholars, Harvard site.
Co-Director, IMSD (Initiative to Maximize Student Diversity) Training Grant
Chair, Institutional Review Board (IRB), HSPH
Social Determinants of Health
I am broadly interested in the social determinants of population health and health disparities. To use Isaiah Berlin’s typology, I am a quintessential fox not a hedgehog. My investigations encompass the macro-social determinants of population health (e.g. income inequality, social cohesion, and political participation), to the meso-level (neighborhood and workplace contextual influences), down to the individual-level (stress, and psychosocial risk factors for cardiovascular disease).
Income inequality and population health
I have conducted empirical research on the potentially damaging health consequences of growing inequality, earlier summarized in my books, The Health of Nations (New York: The New Press, 2002, with Bruce Kennedy), and Income Inequality and Health: A Reader (New York: The New Press, 1999, with Bruce Kennedy and Richard Wilkinson). With collaborators I have been looking at the impacts of income inequality on health in the United States, Brazil, and Japan. Our research has focused specifically on two hypothesized links between income inequality and health: (a) the deleterious consequences of relative deprivation and upward social comparisons, and (b) the “pollution” effects of income inequality on society, assessed through multi-level analysis.
Social capital and social cohesion
I have made seminal contributions to the link between health and “social capital”, defined as the resources accessed through social networks. I am particularly interested in the health effects of social cohesion in residential communities, workplaces and schools. Known as the Roseto effect (from Stewart Wolf’s classic study in a Pennsylvania community of that name), social cohesion is hypothesized to promote health through reciprocity exchanges, the maintenance of norms among community members, as well as the lubrication of collective action through trust. My current project is based in Iwanuma city, Japan, where our team is examining the longitudinal impacts of community social cohesion on resilience and recovery in the aftermath of the March 11, 2011 Great Eastern Japan earthquake and tsunami.
Collateral health effects of social ties
I’m also interested in the collateral health effects of social ties – for example, the impacts of family bereavement on the health of survivors (explored through Swedish registry data), birth order effects on health among siblings, the effects of marital transitions on health behaviors (in large panel datasets), and the spillover effects of care-giving on the health of care-givers.
Neighborhood influences on health
With colleagues in Finland and Japan, I have been interested in examining neighborhood contextual influences on health outcomes, including the impacts of local food environment and built environment characteristics on physical activity, obesity, and other health-related behaviors (alcohol & tobacco consumption). We are particularly interested in designs that improve on causal inference to overcome endogenous neighborhood effects – e.g. fixed effects approaches in which changes in neighborhood environment (natural experiments) are examined in relation to changes in the behaviors/health of residents.
Psychosocial work environment
Past and ongoing research projects have examined the impacts of psychosocial work environment on the health of workers – e.g. the adverse consequences of job strain, job insecurity and the rise in non-standard work (precarious employment), and the transition to retirement. I am particularly interested in the health of workers in the context of two global trends: (a) the aging of the workforce, and (b) the demand for “flexible labor” in the era of globalization.
Re-examining social stratification and health
Last but not least, I am interested in re-examining the effects of education/income changes on health using identification strategies that bring us a half step closer to causality. With colleagues, we have examined different strategies including instrumental variable estimation, fixed effects analysis, twin studies, and marginal structural models. There are subtle nuances in the data – i.e. in several instances, the relation between schooling/income and health reflects residual confounding or reverse causation – summarized in Chapter 2 (by Glymour, Avendano & Kawachi) in the 2nd edition of Social Epidemiology (Oxford, 2014).
MB.ChB., 1985, Otago University, New Zealand
Ph.D., 1991, Otago University, New Zealand