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Living in poverty and accelerated biological aging: evidence from population-representative sample of U.S. adults
A. Dalecka, A. Bartoskova Polcrova, H. Pikhart, M. Bobak, AJ. Ksinan
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
Grantová podpora
857487
European Union's Horizon 2020 research and innovation program
857487
European Union's Horizon 2020 research and innovation program
857487
European Union's Horizon 2020 research and innovation program
857487
European Union's Horizon 2020 research and innovation program
857487
European Union's Horizon 2020 research and innovation program
LX22NPO5101
European Union - Next Generation EU (Ministry of Education, Youth and Sports, NPO: EXCELES)
LX22NPO5101
European Union - Next Generation EU (Ministry of Education, Youth and Sports, NPO: EXCELES)
LX22NPO5101
European Union - Next Generation EU (Ministry of Education, Youth and Sports, NPO: EXCELES)
LX22NPO5101
European Union - Next Generation EU (Ministry of Education, Youth and Sports, NPO: EXCELES)
NLK
BioMedCentral
od 2001-12-01
BioMedCentral Open Access
od 2001
Directory of Open Access Journals
od 2001
Free Medical Journals
od 2001
PubMed Central
od 2001
Europe PubMed Central
od 2001
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2001-01-01
Medline Complete (EBSCOhost)
od 2001-01-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2001
Springer Nature OA/Free Journals
od 2001-12-01
- MeSH
- biologické markery MeSH
- chudoba * MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- průřezové studie MeSH
- senioři MeSH
- stárnutí * MeSH
- výživa - přehledy MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
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.
Department of Epidemiology and Public Health University College London London United Kingdom
RECETOX Faculty of Science Masaryk University Kotlarska 2 Brno Czech Republic
Citace poskytuje Crossref.org
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- $a 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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