The Impact of Personality Change on Health Among a Diverse Sample of Older Americans: Findings from the Health and Retirement Study

Author(s):  
Latrica E. Best
2018 ◽  
Vol 108 ◽  
pp. 407-411 ◽  
Author(s):  
Annamaria Lusardi ◽  
Olivia S. Mitchell ◽  
Noemi Oggero

We investigate changes in older individuals' financial fragility as they stand on the verge of retirement. Using data from the Health and Retirement Study (HRS), we compare how debt has changed for successive cohorts of people age 56–61. Our analysis shows that recent older Americans close to retirement hold more debt, and hence face greater financial insecurity, than earlier generations. This is primarily due to having bought more expensive homes with smaller down payments. We discuss possible policy implications.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S892-S893
Author(s):  
Fadi Youkhana ◽  
Yanyan Wu ◽  
Mika Thompson ◽  
Catherine M Pirkle

Abstract Type 2 diabetes (T2D) is a complex chronic disorder influenced by genetic and environmental factors. Studies that use a combined polygenetic score (PGS), calculated based on the number of risk alleles an individual may have, are rarely applied to a representative national sample. We used data from the Health and Retirement Study (HRS), a nationally representative study of older U.S. adults 50-years or older to examine the impact of PGS and behavioral risk factors (education, poverty ratio, BMI, smoking status, alcohol consumption and physical activity) with incident T2D. We used ethnic-straitifed Poisson generalized estimating equation (GEE) models with robust standard errors to estimate prevalence ratios (PRs) and risk ratios (RRs). Our sample included genotyped Black (N=2,823) and White (N=11,178) men and women.The highest PRs for T2D were among those in the 5th PGS quintile in both Whites (PR=2.24, 95%CI 1.89, 2.65, P-value <0.0001) and Blacks (PR=1.73, 95%CI 1.28,2.33, P-value 0.0003). The highest risk for T2D was among obese Whites (RR=3.35, 95%CI 2.93,3.82, P-value <0.0001) and Blacks (RR=1.60, 95%CI 1.28, 2.00, P-value <0.0001). Our findings found associations between PGS and T2D as well as some lifestyle factors among both Black and White individuals in a nationally representative sample with similar patterns in age, physical activity and poverty ratio. Our study supports the importance of including modifiable and non-modifiable life-style factors in the analysis of risk alleles for T2D to continue addressing the disparities between T2D risk between race/ethnicity groups


Author(s):  
Gabor Kezdi ◽  
Margaret Lay ◽  
David Weir

We document changes in wealth inequality across American households with a member aged 55 or older, comparing data in the Health and Retirement Study (HRS) with that in the Survey of Consumer Finances (SCF) between 1998 and 2016. We examine net wealth including housing, financial and nonfinancial assets and debt, without the cash value of insurances, DB pensions or Social Security wealth. We find very similar distributions of net wealth in the two surveys between the 25th and 90th percentiles, but substantially higher wealth in the SCF at the top of the distribution. Both surveys show an increase in wealth inequality between 1998 and 2016, first mostly due to increased wealth at the top, and, after 2012, due to an increase in the share of households with very little wealth as well. Both surveys agree that wealth inequality by education and race, already substantial in 1998, increased further by 2016.


Hepatology ◽  
2011 ◽  
Vol 55 (1) ◽  
pp. 184-191 ◽  
Author(s):  
Mina O. Rakoski ◽  
Ryan J. McCammon ◽  
John D. Piette ◽  
Theodore J. Iwashyna ◽  
Jorge A. Marrero ◽  
...  

2005 ◽  
Vol 45 (4) ◽  
pp. 516-524 ◽  
Author(s):  
Jose Ness ◽  
Dominic J. Cirillo ◽  
David R. Weir ◽  
Nicole L. Nisly ◽  
Robert B. Wallace

2018 ◽  
Vol 86 (6) ◽  
pp. 1003-1016 ◽  
Author(s):  
Martina Luchetti ◽  
Antonio Terracciano ◽  
Yannick Stephan ◽  
Angelina R. Sutin

2016 ◽  
Vol 39 (1) ◽  
pp. 7-28 ◽  
Author(s):  
Ajin Lee

This article argues that wealth uncertainty influences when couples choose to retire. Using data from the Health and Retirement Study, I show that wives delay retirement when their husbands retire following a job loss. This effect is stronger when husbands are the primary earners, and couples are relatively poorer. This provides evidence of intra-household insurance that mitigates the impact of an unexpected earnings shock. I find that wives tend to delay retirement only until they become eligible for social security. This suggests that social security benefits can relax households’ budget constraints and allow wives to join their husbands in retirement.


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