Objective: To examine the contextual effects of urban neighborhood characteristics on mortality among older adults.
Method: Data are from the Study of Assets and Health Dynamics Among the Oldest Old (AHEAD). Death is assessed between the baseline assessment (1993) and the first follow-up interview (1995). Neighborhood data are from the 1990 Census.
Results: The log odds of dying between the two time points are higher in high proportion Hispanic neighborhoods, net of individual-level sociodemographic variables, but this effect is partly mediated by individual-level health. The log odds of dying are significantly (p < .05) lower in affluent neighborhoods, controlling for all individual-level variables and neighborhood proportion Hispanic.
Discussion: There are survival-related benefits of living in an affluent urban neighborhood, which we posit may be manifested through the diffusion of innovations in health care and health-promotion activities.
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http://dx.doi.org/10.1177/0898264309355980 | DOI Listing |
J Urban Health
January 2025
Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
Chronological age is not an accurate predictor of morbidity and mortality risk, as individuals' aging processes are diverse. Phenotypic age acceleration (PhenoAgeAccel) is a validated biological age measure incorporating chronological age and biomarkers from blood samples commonly used in clinical practice that can better reflect aging-related morbidity and mortality risk. The heterogeneity of age-related decline is not random, as environmental exposures can promote or impede healthy aging.
View Article and Find Full Text PDFBMJ Open
December 2024
Centre for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada.
Objectives: To describe the population that meets the criteria for major depressive disorder (MDD) in British Columbia (BC), compare patterns of healthcare utilisation between those with MDD who are and are not prescribed pharmacotherapy, and assess these relationships in models that control for potential confounding variables.
Design: We used a population cross-sectional study design among a cohort of individuals living with MDD and examined the relationship between pharmacotherapy and healthcare utilisation between 2019 and 2020 using linked billing and administrative data.
Setting: This study identified individuals with MDD using a validated case definition of International Classification of Diseases (ICD) codes in BC, Canada.
Sci Rep
January 2025
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
The rapid development of low-cost sensors provides the opportunity to greatly advance the scope and extent of monitoring of indoor air pollution. In this study, calibrated particle matter (PM) sensors and a non-negative matrix factorisation (NMF) source apportionment technique are used to investigate PM concentrations and source contributions across three households in an urban residential area. The NMF is applied to combined data from all houses to generate source profiles that can be used to understand how PM source characteristics are similar or differ between different households in the same urban area.
View Article and Find Full Text PDFOccup Environ Med
January 2025
Lifestyles and Living Environments Unit, Finnish Institute for Health and Welfare, Oulu, Finland.
Objective: To assess the role of occupational noise exposure on pregnancy complications in urban Nordic populations.
Methods: A study population covering five metropolitan areas in Denmark, Finland, Norway and Sweden was generated using national birth registries linked with occupational and residential environmental exposures and sociodemographic variables. The data covered all pregnancies during 5-11 year periods in 2004‒2016, resulting in 373 184 pregnancies.
Curr Environ Health Rep
January 2025
Brandeis University, Waltham, MA, USA.
Purpose Of Review: Indoor air pollution is likely to be elevated in multi-family housing and to contribute to health disparities, but limited studies to date have systematically considered the empirical evidence for exposure differentials between multi-family and single-family housing. Our goal is to separately examine the drivers of residential indoor air pollution, including outdoor air pollution, ventilation and filtration, indoor sources, and occupant activity patterns, using secondhand smoke as a case study to examine the behavioral dimensions of indoor environmental interventions.
Recent Findings: Within studies published from 2018 to 2023, multi-family homes have higher average outdoor air pollution than single-family homes given their more frequent presence in urban and near-roadway settings.
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