Evidence map›Paper›PMID 31499522›Full record

ArticleAnnals of internal medicine2019

Local Area Variation in Morbidity Among Low-Income, Older Adults in the United States: A Cross-sectional Study.

Maria Polyakova, Lynn M Hua

Abstract read
In one paragraph

Article in Annals of internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Heterogeneity in Damages from A Pandemic.The review of economics and statistics · 2024
    Article
  4. Article
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

2 authors.

Maria PolyakovaStanford University School of Medicine, Stanford, California, and the National Bureau of Economic Research, Cambridge, Massachusetts (M.P.).
Lynn M HuaUniversity of Pennsylvania, Philadelphia, Pennsylvania (L.M.H.).

Funding

Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI Adam Jon Sacarny · 1986 to 2026
$56.5M
Public Insurance Design and Health at Older AgesK01AG059843 · NIA · STANFORD UNIVERSITY · PI POLYAKOVA, MARIA · 2019 to 2023
$634k
Social Insurance Design and International Differences in Health at Older AgesR21AG052833 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI PERSSON, PETRA, POLYAKOVA, MARIA · 2016 to 2017
$423k
NIA NIH HHS K01 AG059843NIA NIH HHS P01 AG005842NIA NIH HHS R21 AG052833
6 · The paper itself

Abstract

Background: Recent studies have reported that low-income adults living in more affluent areas of the United States have longer life expectancies. Less is known about the relationship between the affluence of a geographic area and morbidity of the low-income population. Objective: To evaluate the association between the prevalence of chronic conditions among low-income, older adults and the economic affluence of a local area. Design: Cross-sectional association study. Setting: Medicare in 2015. Participants: 6 363 097 Medicare beneficiaries aged 66 to 100 years with a history of low-income support under Medicare Part D. Measurements: Adjusted prevalence of 48 chronic conditions was computed for 736 commuting zones (CZs). Factor analysis was used to assess spatial covariation of condition prevalence and to construct a composite condition prevalence index for each CZ. The association between morbidity and area affluence was measured by comparing the average of condition prevalence index across deciles of median CZ house values. Results: The mean age of study participants was 77.7 years (SD, 8.2); 67% were women, and 61% were white. The crude prevalence of 48 chronic conditions ranged from 72.5 per 100 for hypertension to 0.6 per 100 for posttraumatic stress disorder. The prevalence of these 48 chronic conditions was highly spatially correlated. Composite condition prevalence was on average substantially lower in more affluent CZs. Limitation: Low-income status measured on the basis of receipt of Medicare Part D low-income subsidies and not capturing persons not enrolled in Medicare Part D. Conclusion: Low-income, older adults living in more affluent areas of the country are healthier, and areas with poor health in the low-income, older adult population tend to have a high prevalence of most chronic conditions. Primary Funding Source: National Institute on Aging.

Indexed as

Health StatusPovertyResidence CharacteristicsAgedAged, 80 and overChronic DiseaseCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMaleMedicare Part DSocioeconomic FactorsUnited States

Identifiers

PMID31499522
PMCPMC7062581

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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.