Suchergebnisse

Objective: To evaluate the relationship be­tween metabolic risk (MR) and depression in a sample of older Mexican Americans and examine whether the association differs by age at migration.Methods: Longitudinal study using data from the Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) (N=807, mean age = 84.3). The analytical sample was compiled from wave 6 (2007) to wave 7 (2010-2011) of HEPESE. Random-effect logistic regression examined the association between MR and depression and tested the model stratified by nativity status and age at migration.Results: MR was associated with higher odds of depression for US-born Mexican Americans after controlling for potential confounders. Similarly, among Mexican Americans who migrated before age 20, MR was associated with higher odds of depres­sion.Conclusion: The findings highlight the importance of age at migration when evalu­ating the health of foreign-born Mexican Americans from a life-course perspective. Particularly among Mexican Americans who migrated before age 20, those with MR were more vulnerable to depression than their counterparts without MR.Ethn Dis. 2021;31(2):243-252; doi:10.18865/ed.31.2.243

On March 12th, 2020, the WHO declared COVID-19 as a pandemic. The collective impact of environmental and ecosystem factors, as well as biodiversity, on the spread of COVID-19 and its mortality evolution remain empirically unknown, particularly in regions with a wide ecosystem range. The aim of our study is to assess how those factors impact on the COVID-19 spread and mortality by country. This study compiled a global database merging WHO daily case reports with other publicly available measures from January 21st to May 18th, 2020. We applied spatio-temporal models to identify the influence of biodiversity, temperature, and precipitation and fitted generalized linear mixed models to identify the effects of environmental variables. Additionally, we used count time series to characterize the association between COVID-19 spread and air quality factors. All analyses were adjusted by social demographic, country-income level, and government policy intervention confounders, among 160 countries, globally. Our results reveal a statistically meaningful association between COVID-19 infection and several factors of interest at country and city levels such as the national biodiversity index, air quality, and pollutants elements (PM10, PM2.5, and O3). Particularly, there is a significant relationship of loss of biodiversity, high level of air pollutants, and diminished air quality with COVID-19 infection spread and mortality. Our findings provide an empirical foundation for future studies on the relationship between air quality variables, a country's biodiversity, and COVID-19 transmission and mortality. The relationships measured in this study can be valuable when governments plan environmental and health policies, as alternative strategy to respond to new COVID-19 outbreaks and prevent future crises. ; Temple University. College of Public Health ; Epidemiology and Biostatistics

On March 12th, 2020, the WHO declared COVID-19 as a pandemic. The collective impact of environ-mental and ecosystem factors, as well as biodiversity, on the spread of COVID-19 and its mortalityevolution remain empirically unknown, particularly in regions with a wide ecosystem range. The aim ofour study is to assess how those factors impact on the COVID-19 spread and mortality by country. Thisstudy compiled a global database merging WHO daily case reports with other publicly available measuresfrom January 21st to May 18th, 2020. We applied spatio-temporal models to identify the influence ofbiodiversity, temperature, and precipitation andfitted generalized linear mixed models to identify theeffects of environmental variables. Additionally, we used count time series to characterize the associationbetween COVID-19 spread and air quality factors. All analyses were adjusted by social demographic,country-income level, and government policy intervention confounders, among 160 countries, globally.Our results reveal a statistically meaningful association between COVID-19 infection and several factorsof interest at country and city levels such as the national biodiversity index, air quality, and pollutantselements (PM10,PM2.5,and O3). Particularly, there is a significant relationship of loss of biodiversity, highlevel of air pollutants, and diminished air quality with COVID-19 infection spread and mortality. Ourfindings provide an empirical foundation for future studies on the relationship between air qualityvariables, a country's biodiversity, and COVID-19 transmission and mortality. The relationships measuredin this study can be valuable when governments plan environmental and health policies, as alternativestrategy to respond to new COVID-19 outbreaks and prevent future crises ; Daniel Fernández supported by grant 2017 SGR 622 (GRBIO) administrated by the Departament d'Economia i Coneixement de la Generalitat de Catalunya (Spain) ; Peer Reviewed ; Postprint (author's final draft)