Evidence map›Paper›PMID 30322882›Full record

ArticleJournal of epidemiology and community health2019

Consumer credit, chronic disease and risk behaviours.

Lorraine T Dean, Emily A Knapp, Sevly Snguon, Yusuf Ransome, Dima M Qato, Kala Visvanathan

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Lorraine T DeanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-2272-2755
Emily A KnappDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Sevly SnguonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Yusuf RansomeDepartment of Social and Behavioral Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.
Dima M QatoDepartment of Pharmacy Systems, Outcomes and Policy, University of Illinois College of Pharmacy, Chicago, Illinois, USA.
Kala VisvanathanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Clinical Research&Epidemiology in Diabetes&EndocrinologyT32DK062707 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Wendy Lynet Bennett · 2002 to 2026
$7.3M
Cardiometabolic Health in Adolescents of South Asian Ancestry - the CHAriSmA studyR01DK115648 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MAGGE, SHEELA NATESH · 2018 to 2022
$3.9M
The Brown Initiative in HIV and AIDS Clinical Research for Minority CommunitiesR25MH083620 · NIMH · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2008 to 2025
$3.7M
Research in HIV Intervention: Skills for Underserved Communities and FamiliesR25MH083602 · NIMH · HUNTER COLLEGE · PI GOLUB, SARIT A · 2008 to 2011
$938k
Social Determinants of Breast Cancer SurvivorshipK01CA184288 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DEAN, LORRAINE TIERA · 2014 to 2018
$767k
Social Capital and Late HIV Diagnosis in the United StatesK01MH111374 · NIMH · YALE UNIVERSITY · PI RANSOME, YUSUF · 2017 to 2021
$749k
NCATS NIH HHS UL1 TR001079NCI NIH HHS K01 CA184288NCI NIH HHS P30 CA006973NIAID NIH HHS P30 AI094189NIDDK NIH HHS R01 DK115648NIDDK NIH HHS T32 DK062707NIMH NIH HHS K01 MH111374NIMH NIH HHS R25 MH083602NIMH NIH HHS R25 MH083620
6 · The paper itself

Abstract

backgroundCredit scores have been identified as a marker of disease burden. This study investigated credit scores' association with chronic diseases and health behaviours that are associated with chronic diseases.

methodsThis cross-sectional analysis included data on 2083 residents of Philadelphia, Pennsylvania, USA in 2015. Nine-digit ZIP code level FICO credit scores were appended to individual self-reported chronic diseases (obesity, diabetes, hypertension) and related health behaviours (smoking, exercise, and salt intake and medication adherence among those with hypertension). Models adjusted for individual-level and area-level demographics and retail pharmacy accessibility.

resultsMedian ZIP code credit score was 665 (SD=58). In adjusted models, each 50-point increase in ZIP code credit score was significantly associated with: 8% lower chronic disease risk; 6% lower overweight/obesity risk, 19% lower diabetes risk; 9% lower hypertension risk and 14% lower smoking risk. Other health behaviours were not significantly associated. Compared with high prime credit, subprime credit score was significantly associated with a 15%-70% increased risk of chronic disease, following a dose-response pattern with a prime rating.

conclusionLower area level credit scores may be associated with greater chronic disease prevalence but not necessarily with related health behaviours. Area-level consumer credit may make a novel contribution to identifying chronic disease patterns.

Indexed as

Financial ManagementRisk-TakingAdultChronic DiseaseCross-Sectional StudiesFemaleHumansMalePhiladelphiachronic diseaseconsumer creditdiabeteshypertensionobesityUnited States

Identifiers

PMID30322882
PMCPMC6512797

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.