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Living in poverty and accelerated biological aging: evidence from population-representative sample of U.S. adults.
Dalecka, Andrea; Bartoskova Polcrova, Anna; Pikhart, Hynek; Bobak, Martin; Ksinan, Albert J.
Afiliação
  • Dalecka A; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
  • Bartoskova Polcrova A; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
  • Pikhart H; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
  • Bobak M; Department of Epidemiology and Public Health, University College London, London, United Kingdom.
  • Ksinan AJ; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.
BMC Public Health ; 24(1): 458, 2024 Feb 13.
Article em En | MEDLINE | ID: mdl-38350911
ABSTRACT

BACKGROUND:

Biological 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.

METHODS:

The 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.

RESULTS:

The 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.

CONCLUSION:

In 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pobreza / Envelhecimento Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans / Middle aged Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: República Tcheca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pobreza / Envelhecimento Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans / Middle aged Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: República Tcheca