Evidence map›Paper›PMID 42290665›Full record

ArticlePopulation research and policy review2026

Material Hardship Among Affluent and Poor Households in the United States.

John Iceland, Jaehoon Cho

Abstract read
In one paragraph

Article in Population research and policy review, 2026. 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
–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

0 citing papers in PubMed.

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

2 authors.

John IcelandDepartment of Sociology, Pennsylvania State University, University Park, USA.
Jaehoon ChoDepartment of Sociology, Pennsylvania State University, University Park, USA.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

We examined the correlates of hardship among affluent households and the characteristics of affluent households make them less likely to report hardships than poor ones. Is it income alone that explains differences in the likelihood of hardship, or do other characteristics-such as wealth and education-play important roles? Using 2021 data from the Survey of Income and Program Participation, we examined the prevalence of four types of hardship (bill paying, food, housing, and neighborhood) among poor and affluent households, with affluence defined as household income at least five times the poverty line. The predictors of hardship generally did not significantly differ across poor and affluent households. Wealth and the presence of a disabled household member were consistently linked with hardship among both. Decomposition analyses indicated that the difference in income alone was the most important reason why poor households are more likely to experience bill-paying and food hardships than affluent households, but wealth played the largest role in explaining differences in housing and neighborhood hardships. In decomposition analyses without income and wealth-two proximate determinants of hardship-household type (e.g., presence of a married couple), education, employment status, and race helped explain differences in hardship prevalence across poor and affluent households. Overall, our findings suggest that a variety of characteristics-the most important being income and wealth, depending on the hardship-help explain differences in the prevalence of hardship between poor and affluent households. Supplementary Information: The online version contains supplementary material available at 10.1007/s11113-026-10019-1.

Indexed as

AffluenceDecomposition analysisHardshipPoverty

Identifiers

PMID42290665
PMCPMC13263291

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.