The aim of this proposal is to provide the PI the opportunity to pursue theoretical and methodological development in a new field of research on explanatory models of sex differences in mortality in human populations across the life course. This will be accomplished by permitting me to seek training in the biological sciences to create an integrated social and biodemographic approach. The goal is to extend my previous training within the population level of analysis to interdisciplinary research on the interconnections between social forces and the biological processes of disease across levels of organization. The training focuses on population studies of biological mechanisms of inflammation and infections, fat and glucose metabolism aka metabolic syndrome, sex differences in these biological functions, their genetic origins and relationships to sex hormonal changes over the course of human development and aging, evolution of sex differences and basics of heritable genetic diseases.

Public Health Relevance

The aim of this proposal is to provide the PI the opportunity to pursue theoretical and methodological development in a new field of research on explanatory models of sex differences in mortality in human populations across the life course. This will be accomplished by permitting me to seek training in the biological sciences to create an integrated social and biodemographic approach. The goal is to extend my previous training within the population level of analysis to interdisciplinary research on the interconnections between social forces and the biological processes of disease across levels of organization.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Scientist Development Award - Research & Training (K01)
Project #
5K01AG036745-02
Application #
8117008
Study Section
National Institute on Aging Initial Review Group (NIA)
Program Officer
Patmios, Georgeanne E
Project Start
2010-08-01
Project End
2015-07-31
Budget Start
2011-08-01
Budget End
2012-07-31
Support Year
2
Fiscal Year
2011
Total Cost
$120,339
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Social Sciences
Type
Schools of Arts and Sciences
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Yang, Yang Claire; Gerken, Karen; Schorpp, Kristen et al. (2017) Early-Life Socioeconomic Status and Adult Physiological Functioning: A Life Course Examination of Biosocial Mechanisms. Biodemography Soc Biol 63:87-103
Yang, Yang Claire; Boen, Courtney; Gerken, Karen et al. (2016) Social relationships and physiological determinants of longevity across the human life span. Proc Natl Acad Sci U S A 113:578-83
Boen, Courtney; Yang, Y Claire (2016) The physiological impacts of wealth shocks in late life: Evidence from the Great Recession. Soc Sci Med 150:221-30
Yang, Yang Claire; Boen, Courtney; Mullan Harris, Kathleen (2015) Social relationships and hypertension in late life: evidence from a nationally representative longitudinal study of older adults. J Aging Health 27:403-31
Chen, Feinian; Mair, Christine A; Bao, Luoman et al. (2015) Race/Ethnic Differentials in the Health Consequences of Caring for Grandchildren for Grandparents. J Gerontol B Psychol Sci Soc Sci 70:793-803
Reither, Eric N; Masters, Ryan K; Yang, Yang Claire et al. (2015) Should age-period-cohort studies return to the methodologies of the 1970s? Soc Sci Med 128:356-65
Reither, Eric N; Land, Kenneth C; Jeon, Sun Y et al. (2015) Clarifying hierarchical age-period-cohort models: A rejoinder to Bell and Jones. Soc Sci Med 145:125-8
Yang, Yang Claire; Li, Ting; Frenk, Steven M (2014) Social network ties and inflammation in U.S. adults with cancer. Biodemography Soc Biol 60:21-37
Yang, Yang Claire; Schorpp, Kristen; Harris, Kathleen Mullan (2014) Social support, social strain and inflammation: evidence from a national longitudinal study of U.S. adults. Soc Sci Med 107:124-35
Masters, Ryan K; Reither, Eric N; Powers, Daniel A et al. (2013) The impact of obesity on US mortality levels: the importance of age and cohort factors in population estimates. Am J Public Health 103:1895-901

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