Literature DB >> 28973934

Projections of white and black older adults without living kin in the United States, 2015 to 2060.

Ashton M Verdery1, Rachel Margolis2.   

Abstract

Close kin provide many important functions as adults age, affecting health, financial well-being, and happiness. Those without kin report higher rates of loneliness and experience elevated risks of chronic illness and nursing facility placement. Historical racial differences and recent shifts in core demographic rates suggest that white and black older adults in the United States may have unequal availability of close kin and that this gap in availability will widen in the coming decades. Whereas prior work explores the changing composition and size of the childless population or those without spouses, here we consider the kinless population of older adults with no living close family members and how this burden is changing for different race and sex groups. Using demographic microsimulation and the United States Census Bureau's recent national projections of core demographic rates by race, we examine two definitions of kinlessness: those without a partner or living children, and those without a partner, children, siblings, or parents. Our results suggest dramatic growth in the size of the kinless population as well as increasing racial disparities in percentages kinless. These conclusions are driven by declines in marriage and are robust to different assumptions about the future trajectory of divorce rates or growth in nonmarital partnerships. Our findings draw attention to the potential expansion of older adult loneliness, which is increasingly considered a threat to population health, and the unequal burden kinlessness may place on black Americans.

Entities:  

Keywords:  demography; disparities; family; microsimulation; race

Mesh:

Year:  2017        PMID: 28973934      PMCID: PMC5651770          DOI: 10.1073/pnas.1710341114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

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Review 10.  Predicting nursing home admission in the U.S: a meta-analysis.

Authors:  Joseph E Gaugler; Sue Duval; Keith A Anderson; Robert L Kane
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