Evidence map›Paper›PMID 38511203›Full record

ArticleInnovation in aging2024

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

Lorraine T Dean, Shang-En Chung, Alden L Gross, Olivio J Clay, Sherry L Willis, Ian M McDonough, Kelsey R Thomas, Michael Marsiske, Jaya Aysola, Roland J Thorpe and 3 more

Open access · goldAbstract read
In one paragraph

Article in Innovation in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 8 institutions in 1 country.

Lorraine T DeanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Shang-En ChungDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Olivio J ClayDepartment of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-7529-6120
Sherry L WillisDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA.
Ian M McDonoughDepartment of Psychology, University of Alabama, Tuscaloosa, Alabama, USA.ORCID https://orcid.org/0000-0003-0907-8931
Kelsey R ThomasVA San Diego Healthcare System and Department of Psychiatry, University of California, San Diego School of Medicine, San Diego, California, USA.ORCID https://orcid.org/0000-0003-4277-8876
Michael MarsiskeDepartment of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA.
Jaya AysolaDepartment of Medicine and Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8474-3682
Roland J ThorpeDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Cynthia FelixDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Melissa BerkowitzDepartment of Medical Ethics and Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Norma B CoeDepartment of Medical Ethics and Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-1228-0938
Johns Hopkins University · USUniversity of Pennsylvania · USUniversity of Alabama · USUniversity of Alabama at Birmingham · USUniversity of California San Diego · USUniversity of Florida Health · USUniversity of Pittsburgh · USUniversity of Washington · US

Funding

The Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research - Research Ed ComponentP30AG059298 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2018 to 2026
$7.1M
Socioeconomic, Cardiovascular, and Psychosocial Sources of Cross-National Variation in Cognitive Health Among Older AdultsR01AG070953 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alden L. Gross, Lindsay C Kobayashi · 2021 to 2026
$4.6M
UAB Alzheimer's Disease Research CenterP20AG068024 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GELDMACHER, DAVID S · 2020 to 2022
$3.3M
Identifying best methods for the detection of subtle cognitive declineR03AG070435 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THOMAS, KELSEY R · 2021 to 2022
$316k
CSRD VA IK2 CX001865NIA NIH HHS P20 AG068024NIA NIH HHS P30 AG059298NIA NIH HHS R01 AG070953NIA NIH HHS R03 AG070435
6 · The paper itself

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.

Indexed as

Attitude to health, Financial activitiesPatient credit

Identifiers

PMID38511203
PMCPMC10953618
OpenAlexW4392023022

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.