Evidence map›Paper›PMID 38350911›Full record

ArticleBMC public health2024

Living in poverty and accelerated biological aging: evidence from population-representative sample of U.S. adults.

Andrea Dalecka, Anna Bartoskova Polcrova, Hynek Pikhart, Martin Bobak, Albert J Ksinan

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  10. Discussing the Interplay of Social Determinants of Health, Aging, and Alzheimer's Biomarkers in U.S. Latinos.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Review
  11. Article
  12. Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. 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

5 authors.

Andrea DaleckaRECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
Anna Bartoskova PolcrovaRECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
Hynek PikhartRECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
Martin BobakRECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
Albert J KsinanRECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic. albert.ksinan@recetox.muni.cz.

Funding

European Union - Next Generation EU (Ministry of Education, Youth and Sports, NPO: EXCELES) LX22NPO5101European Union's Horizon 2020 research and innovation program 857487
6 · The paper itself

Abstract

backgroundBiological aging reflects a decline in the functions and integrity of the human body that is closely related to chronological aging. A variety of biomarkers have been found to predict biological age. Biological age higher than chronological age (biological age acceleration) indicates an accelerated state of biological aging and a higher risk of premature morbidity and mortality. This study investigated how socioeconomic disadvantages influence biological aging.

methodsThe data from the National Health and Nutrition Examination Survey (NHANES) IV, including 10 nationally representative cross-sectional surveys between 1999-2018, were utilized. The analytic sample consisted of N = 48,348 individuals (20-84 years). We used a total of 11 biomarkers for estimating the biological age. Our main outcome was biological age acceleration, indexed by PhenoAge acceleration (PAA) and Klemera-Doubal biological age acceleration (KDM-A). Poverty was measured as a ratio of family income to the poverty thresholds defined by the U.S. Census Bureau, adjusted annually for inflation and family size (5 categories). The PAA and KDM-A were regressed on poverty levels, age, their interaction, education, sex, race, and a data collection wave. Sample weights were used to make the estimates representative of the U.S. adult population.

resultsThe results showed that higher poverty was associated with accelerated biological aging (PAA: unstandardized coefficient B = 1.38 p <.001, KDM: B = 0.96, p = .026 when comparing the highest and the lowest poverty level categories), above and beyond other covariates. The association between PAA and KDM-A and age was U-shaped. Importantly, there was an interaction between poverty levels and age (p <.001), as the effect of poverty was most pronounced in middle-aged categories while it was modest in younger and elderly groups.

conclusionIn a nationally representative US adult population, we found that higher poverty was positively associated with the acceleration of biological age, particularly among middle-aged persons.

Indexed as

AgingPovertyAdultAgedBiomarkersCross-Sectional StudiesHumansMiddle AgedNutrition SurveysBiomarkersAgingBiological ageBiomarkersHealth inequalitiesPovertySocioeconomic position

Identifiers

PMID38350911
PMCPMC10865704

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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.