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Early-Life Health Consequences of Unequal Kinship Networks

不平等的亲属关系网络对生命早期健康的影响

基本信息

批准号：
10453719
负责人：
Heeju Sohn
金额：
$ 24.4万
依托单位：
EMORY UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10453719
关键词：
Achievement Address Adult Age Biological Biological Markers Birth Cessation of life Child Childbirth Childhood Complex Consequentialism Couples Data Demographer Demography Disadvantaged Divorce Doctor of Philosophy Engineering Environment Ethnic Origin Event Faculty Family Family Process Family Relationship Family member Fellowship Fertility Fertility Rates Foundations Future Gender Generations Goals Health Health Insurance Health Policy Health Services Accessibility Health Status Health behavior Individual Industrialization Inequality Infant Intervention Interview Joints Kinship Networks Knowledge Life Life Cycle Stages Link Literature Longevity Marriage Measures Methodology Minor Modeling Morbidity - disease rate Newborn Infant Nuclear Family Operations Research Outcome Parents Pathway Analysis Pathway interactions Pennsylvania Persons Phase Pilot Projects Policies Population Postpartum Period Pregnancy Process Race Recording of previous events Remarriages Research Research Project Grants Resources Sampling Sleep Social support Sociology Source Spouses Stepparent Stress Structure Support System Testing Training Training Programs Translating United States Universities Work base beneficiary child bearing critical period experience family structure family support grandparent health disparity health inequalities health management improved in utero intergenerational member mortality network models nutrition population health programs response safety net simulation social disparities socioeconomics stem support network trend young adult

项目摘要

Project Summary I graduated with a joint Ph.D. in Demography and Sociology from University of Pennsylvania and an M.Eng in Operations Research and Industrial Engineering from Cornell University. My dissertation examined the consequences of health insurance policies on inequalities between gender, race/ethnicity, and access to care. During my postdoctoral fellowship at UCLA’s Department of Health Policy and Management (HPM), I expanded my work in safety nets to include informal kin-based sources. My work thus far has focused on dyadic relationships and proximate determinants of health. The K99 will allow me to broaden this focus and (1) develop of methodological expertise in network analyses; and (2) gain expertise in the study of biological markers of health to address the question: “Do differences in kinship support networks explain the health gap between socioeconomic groups?” The R00 phase will allow for a pilot study whose findings will motivate a future R01 that will collect data needed to answer this question directly. Current health policy strengthens the importance of kin through dependent coverage of spouses and children. The changing landscape of family ties is often missing from policy debates. Diverging trends in mortality, family formation, and childbearing between people who have more, and less socioeconomic resources may reinforce or exacerbate health inequalities. Adults with supportive ties to their spouses and parents may benefit from stronger safety nets. Children who are born and grow up in these strong kinship networks may have access to greater resources than children who have fewer parents, grandparents, and whose family relationships are made complex by step-kin. This proposal will (1) quantify the unequal kinship networks stemming from diverging trends in mortality, fertility and martial histories and its resulting disparities in support; (2) establish an association between kin-based safety nets with health in-utero and early life; and (3) simulate the potential population-level health impact of kinship networks stemming from unequal demographic histories of multiple generations. The proposed training program and research project will set the foundations for an independent research program whose goal is to ascertain the contribution of disparate family processes in population health inequality. The findings will help to create health policies that consider the diverse and evolving kinship networks that beneficiaries are embedded in and to identify effective opportunities for intervention. During the K99 phase, I will develop methodologies to create simulations of kinship networks using population-representative data. I will also collaborate with a research lab to collect repeated biomarker data along with information on social support from families as they go through pregnancy, birth, and the first year of the infant’s life. During the R00 phase, I will analyze the data and incorporate its findings into the kinship network models developed during the K99 phase. UCLA is the ideal place for my training and research as it has faculty and institutional resources that are critical for the completion of this project.

项目总结