Evidence map›Paper›PMID 35932016›Full record

ArticleBMC public health2022

Aging and self-reported health in 114 Latin American cities: gender and socio-economic inequalities.

Marianela Castillo-Riquelme, Goro Yamada, Ana V Diez Roux, Tania Alfaro, Sandra Flores-Alvarado, Tonatiuh Barrientos, Camila Teixeira Vaz, Andrés Trotta, Olga L Sarmiento, Mariana Lazo

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  10. Urban Environments, Health, and Environmental Sustainability: Findings From the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Review
  11. Article
  12. Article
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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

10 authors.

Marianela Castillo-RiquelmeDoctoral Program in Public Health, School of Public Health, Faculty of Medicine, University of Chile, Avenida Independencia, 939, Santiago, Chile. marianelacastillo@hotmail.com.
Goro YamadaUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Ana V Diez RouxUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Tania AlfaroDoctoral Program in Public Health, School of Public Health, Faculty of Medicine, University of Chile, Avenida Independencia, 939, Santiago, Chile.
Sandra Flores-AlvaradoDoctoral Program in Public Health, School of Public Health, Faculty of Medicine, University of Chile, Avenida Independencia, 939, Santiago, Chile.
Tonatiuh BarrientosInstituto Nacional de Salud Pública, Cuernavaca, Mexico.
Camila Teixeira VazCampus Centro-Oeste Dona Lindu, Federal University of São João del-Rei, Divinópolis, Brazil.
Andrés TrottaInstitute of Collective Health, National University of Lanus, Buenos Aires, Argentina.
Olga L SarmientoSchool of Medicine, Universidad de los Andes, Bogota, Colombia.
Mariana LazoUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.

Funding

Wellcome Trust 205177Wellcome Trust 205177/Z/16/Z
6 · The paper itself

Abstract

backgroundUnderstanding 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.

objectivesTo 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.

methodsCross-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.

resultsOverall, 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.

conclusionsAcross 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.

Indexed as

AgingHispanic or LatinoAdultCitiesCross-Sectional StudiesFemaleHumansLatin AmericaMaleMiddle AgedSelf ReportSocioeconomic FactorsAgingGenderInequalitiesLatin-AmericaMultilevel analysisSelf-reported healthUrban health

Identifiers

PMID35932016
PMCPMC9356475

What OpenQuestion holds

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LicenceCC BY
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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.