dc.creatorCastillo Riquelme, Marianela Carmen
dc.creatorYamada, Goro
dc.creatorDiez Roux, Ana V.
dc.creatorAlfaro Morgado, Tania
dc.creatorFlores Alvarado, Sandra Andrea
dc.creatorBarrientos, Tonatiuh
dc.creatorTeixeira Vas, Camila
dc.creatorTrotta, Andrés
dc.creatorSarmiento, Olga L.
dc.creatorLazo, Mariana
dc.date.accessioned2023-07-18T20:06:45Z
dc.date.accessioned2023-09-08T11:38:20Z
dc.date.available2023-07-18T20:06:45Z
dc.date.available2023-09-08T11:38:20Z
dc.date.created2023-07-18T20:06:45Z
dc.date.issued2022
dc.identifierBMC Public Health (2022) 22:1499
dc.identifier10.1186/s12889-022-13752-2
dc.identifierhttps://repositorio.uchile.cl/handle/2250/194813
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8752228
dc.description.abstractBackground: Understanding how urban environments influence people’s health, especially as individuals age, can help identify ways to improve health in the rapidly urbanizing and rapidly aging populations.
dc.description.abstractObjectives: To investigate the association between age and self-reported health (SRH) in adults living in Latin-American cities and whether gender and city-level socioeconomic characteristics modify this association.
dc.description.abstractMethods: Cross-sectional analyses of 71,541 adults aged 25–97 years, from 114 cities in 6 countries (Argentina, Brazil, Colombia, Chile, El Salvador, and Guatemala), as part of the Salud Urbana en America Latina (SALURBAL) Project. We used individual-level age, gender, education, and self-reported health (SRH) data from harmonized health surveys. As proxies for socioeconomic environment we used a city-level socioeconomic index (SEI) calculated from census data, and gross domestic product (GDP) per-capita. Multilevel Poisson models with a robust variance were used to estimate relative risks (RR), with individuals nested in cities and binary SRH (poor SHR vs. good SRH) as the outcome. We examined effect modification by gender and city-level socioeconomic indicators.
dc.description.abstractResults: Overall, 31.4% of the sample reported poor SRH. After adjusting for individual-level education, men had a lower risk of poor SRH (RR = 0.76; CI 0.73–0.78) compared to women, and gender modified the association between age and poor SRH (p-value of interaction < 0.001). In gender stratified models, the association between older age and poor SRH was more pronounced in men than in women, and in those aged 25–65 than among those 65+ (RR/10 years = 1.38 vs. 1.10 for men, and RR/10 years = 1.29 vs. 1.02 for women). Living in cities with higher SEI or higher GDP per-capita was associated with a lower risk of poor SRH. GDP per-capita modified the association between age (25–65) and SRH in men and women, with SEI the interaction was less clear.
dc.description.abstractConclusions: Across cities in Latin America, aging impact on health is significant among middle-aged adults, and among men. In both genders, cities with lower SEI or lower GDP per-capita were associated with poor SRH. More research is needed to better understand gender inequalities and how city socioeconomic environments, represented by different indicators, modify exposures and vulnerabilities associated with aging.
dc.languageen
dc.publisherBMC, England
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.sourceBMC Public Health
dc.subjectSelf-reported health
dc.subjectAging
dc.subjectLatin-America
dc.subjectMultilevel analysis
dc.subjectUrban health
dc.subjectGender
dc.subjectInequalities
dc.titleAging and self‑reported health in 114 Latin American cities: gender and socio‑economic inequalities
dc.typeArtículo de revista


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