Does Consumer Credit Precede or Follow Health Among Older Adults? An Investigation in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) Trial

Author:

Dean Lorraine T1,Chung Shang-En1,Gross Alden L1,Clay Olivio J23ORCID,Willis Sherry L4,McDonough Ian M5ORCID,Thomas Kelsey R6ORCID,Marsiske Michael7,Aysola Jaya8ORCID,Thorpe Roland J910,Felix Cynthia11,Berkowitz Melissa12,Coe Norma B12ORCID

Affiliation:

1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland , USA

2. Department of Psychology, University of Alabama at Birmingham , Birmingham, Alabama , USA

3. University of Alabama at Birmingham Alzheimer’s Disease Research Center , Birmingham, Alabama , USA

4. Department of Psychiatry and Behavioral Sciences, University of Washington , Seattle, Washington , USA

5. Department of Psychology, University of Alabama , Tuscaloosa, Alabama , USA

6. VA San Diego Healthcare System and Department of Psychiatry, University of California, San Diego School of Medicine , San Diego, California , USA

7. Department of Clinical and Health Psychology, University of Florida , Gainesville, Florida , USA

8. Department of Medicine and Pediatrics, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania , USA

9. Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland , USA

10. Johns Hopkins Alzheimer’s Disease Resource Center for Minority Aging Research , Baltimore, Maryland , USA

11. Department of Epidemiology, University of Pittsburgh , Pittsburgh, Pennsylvania , USA

12. Department of Medical Ethics and Policy, Perelman School of Medicine, University of Pennsylvania , Philadelphia, Pennsylvania , USA

Abstract

Abstract Background and Objectives Consumer credit has shown increasing relevance to the health of older adults; however, studies have not been able to assess the extent to which creditworthiness influences future health or health influences future creditworthiness. We assessed the relationships between 4-year pre and postmorbid consumer credit history and self-rated physical and mental health outcomes among older adults. Research Design and Methods Generalized estimating equations models assessed pre and postmorbid credit history (credit scores, derogatory accounts, and unpaid accounts in collections) and the onset of poor self-rated health (SF-36 score <50) among 1,740 participants aged 65+ in the Advanced Cognitive Training for Independent and Vital Elderly study from 2001 to 2017, linked to TransUnion consumer credit data. Results In any given year, up to 1/4 of participants had a major derogatory, unpaid, or collections account, and up to 13% of the sample had poor health. Each 50-point increase in credit score trended toward a 5% lower odds of poor health in the next 1 year, a 6% lower odds in the next 2 years, and a statistically significant finding of 13% lower odds by 3 years. A drop in credit score was associated with a 10% greater odds of poor health in the next year, and having a major derogatory account was associated with an 86% greater odds of poor health in the next 3 years. After poor health onset, credit scores continued to see significant losses up to the 3 years, with larger decrements over time. Discussion and Implications Having a major derogatory account or a sudden loss in credit may be a time to monitor older adults for changes in health. After a downturn in health, supporting older adults to manage their debt may help stabilize their credit.

Funder

National Institute on Aging

National Institutes of Health

University of Alabama at Birmingham Alzheimer’s Disease Research Center

U.S. Department of Veterans Affairs Clinical Sciences Research and Development Service

Publisher

Oxford University Press (OUP)

Reference38 articles.

1. Effects of cognitive training interventions with older adults: A randomized controlled trial;Ball,2002

2. An empirical investigation of dispositional antecedents and performance-related outcomes of credit scores;Bernerth,2012

3. Biological and psychobehavioral correlates of credit scores and automobile insurance losses: Toward an explication of why credit scoring works;Brockett,2007

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