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Fast and slow aging in Brazil

An analysis of inequalities in population dynamics across social groups

Bibliographic Data

ID5958118
AuthorsAnderson Gonçalves (0000-0003-3190-9674, Centro Universitário Padre Anchieta, corresponding author), Luís C Alves (0000-0002-8598-4875, Universidade Estadual de Campinas (UNICAMP))
Year2025
Volume70
Issue3
Pages1-12
Publication date2025-07-07
Open AccessYes
TypeARTICLE
VenueBiodemography and Social Biology (JOURNAL)
Journal identifiersISSN: 1948-5565 • E-ISSN: 1948-5573
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19485565.2025.2527040
PMID40621742
OpenAlexW4412092166
LanguageEN
Citations received1
References cited17

OBJECTIVES: To analyze the inequalities of population aging in Brazil by a new measure - relative age combined with characteristics approach. METHODS: Data from the 2015-2016 Brazilian Longitudinal Study of Aging (ELSI-Brazil) were analyzed. Population subgroups over 50 years old had their relative ages calculated, considering schooling level and self-reported skin color/race. Handgrip strength was employed as a physical health indicator. RESULTS: Results show that Brazilians of the same birth cohort can have more than 10 years of difference between their relative ages. Depending on the schooling level, Brazilians can present characteristics of people 10 years younger (or older) compared with those in the same chronological age. Males who declared themselves Brown have their relative ages up to 4.9 years higher compared with those in the same chronological age and White

Demographic economics · Economics · Geography · Inequality · Population · Population ageing · Social inequality · Sociology · Demography · Genetics, Aging, and Longevity in Model Organisms · Health disparities and outcomes · Intergenerational Family Dynamics and Caregiving · Mathematics

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    Open Access•Anderson Gonçalves, Luís C Alves•Cadernos de Saude Publica•2026

  • New Approaches to the Conceptualization and Measurement of Age and Aging

    Open Access•Sergei Scherbov, Warren C Sanderson•Journal of Aging and Health•2016

  • Disentangling Race and Socioeconomic Status

    Thomas A Laveist•Journal of Urban Health•2005

  • Weathering” and Age Patterns of Allostatic Load Scores Among Blacks and Whites in the United States

    A T Geronimus, Margaret T Hicken et al.•American Journal of Public Health•2006

  • Biodemography

    Open Access•E M Crimmins, Eileen Crimmins et al.•Demography•2010

  • Economic hardship and biological weathering

    Open Access•R L Simons, Man-Kit Lei et al.•Social Science & Medicine•2015

  • Socioeconomic status and immune aging in older US adults in the health and retirement study

    Open Access•Eric T Klopack, Bharat Thyagarajan et al.•Biodemography and Social Biology•2022

  • Do black/white differences in telomere length depend on socioeconomic status

    B L Needham, Stephen Salerno et al.•Biodemography and Social Biology•2020

  • Racial/Ethnic differences in inflammation levels among older adults 56

    Open Access•Kj Davidson-Turner, Mateo P Farina et al.•Biodemography and Social Biology•2024

  • Sociodemographic patterns in biomarkers of aging in the Add Health cohort

    Open Access•Jennifer Momkus, A E Aiello et al.•Biodemography and Social Biology•2024

  • Do US Black Women Experience Stress-Related Accelerated Biological Aging

    Open Access•A T Geronimus, Margaret T Hicken et al.•Human Nature•2010

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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