Principles of Genetics and Molecular Epidemiology 2022
DOI: 10.1007/978-3-030-89601-0_12
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Bioinformatics and Genomics for Epidemiologists

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Cited by 3 publications
(3 citation statements)
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“…• Social lag -We used data from the National Council for Evaluation of Social Development Policy (CONEVAL), which provides state-level estimates of the 2020 social lag index (SLI), which is a composite measure of access to education, health care, dwelling quality, and basic services in Mexico (16). To assess marginalization independently of urbanization, we extracted mean population density from each state and regressed it onto SLI and obtained the residuals which represent a density-independent social lag index (DISLI) (9,17,18). We then categorized states into DISLI quartiles (Q1-Q4) and classified individuals from each quartile to each according to their state of residence.…”
Section: Modifying Factorsmentioning
confidence: 99%
“…• Social lag -We used data from the National Council for Evaluation of Social Development Policy (CONEVAL), which provides state-level estimates of the 2020 social lag index (SLI), which is a composite measure of access to education, health care, dwelling quality, and basic services in Mexico (16). To assess marginalization independently of urbanization, we extracted mean population density from each state and regressed it onto SLI and obtained the residuals which represent a density-independent social lag index (DISLI) (9,17,18). We then categorized states into DISLI quartiles (Q1-Q4) and classified individuals from each quartile to each according to their state of residence.…”
Section: Modifying Factorsmentioning
confidence: 99%
“…(31) Analysis of out-of-hospital deaths in Mexico during the pandemic revealed that most of the excess deaths that occurred during 2020 took place out of hospital. (32) In 2020, the regions with higher non-COVID-19 excess mortality were associated with a low percentage of the population with access to social security and healthcare. (30) Our results present a similar trend: we observed that southern Mexico reported a higher contribution of causes of death amenable to healthcare to changes in life expectancy between 2019 and 2021, while in northern Mexico, causes of death amenable to healthcare helped to mitigate life expectancy losses.…”
Section: -Interpretation Of Resultsmentioning
confidence: 99%
“…Ethnicity is a known modifier of metabolic risk in individuals with prediabetes (3,4); in particular, Mexican mestizo populations have an increased risk of diabetes, which manifests at younger ages and lower body-mass index levels (5)(6)(7). However, epidemiological data on prediabetes among ethnically diverse populations are limited, including in Mexico, where diabetes mellitus is a leading cause of disability and death (8).…”
Section: Introductionmentioning
confidence: 99%