Universidad Peruana Cayetano Heredia

Urbanization, mainly rurality, but not altitude is associated with dyslipidemia profiles

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dc.contributor.author Lazo Porras, María de los Ángeles
dc.contributor.author Bernabé Ortiz, Antonio
dc.contributor.author Quispe, Renato
dc.contributor.author Málaga Rodríguez, Germán Javier
dc.contributor.author Smeeth, Liam
dc.contributor.author Gilman, Robert Hugh
dc.contributor.author Checkley, William
dc.contributor.author Miranda, J. Jaime
dc.contributor.author CRONICAS Cohort Study Group
dc.date.accessioned 2019-01-25T16:20:55Z
dc.date.available 2019-01-25T16:20:55Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/20.500.12866/4789
dc.description.abstract BACKGROUND: Geographical and environmental features such as urbanization and altitude may influence individual's lipid profiles because of the diversity of human-environment interactions including lifestyles. OBJECTIVE: To characterize the association between altitude and urbanization and lipid profile among Peruvian adults aged ≥35 years. METHODS: Cross-sectional analysis of the CRONICAS Cohort Study. The outcomes of interest were 6 dyslipidemia traits: hypertriglyceridemia, high low-density lipoprotein cholesterol, low high-density lipoprotein cholesterol (HDL-c), nonisolated low HDL-c, isolated low HDL-c, and high non-HDL-c. The exposures of interest were urbanization level (highly urban, urban, semi-urban, and rural) and altitude (high altitude vs sea level). Prevalence ratios (PRs) and 95% confidence intervals (95% CIs) were calculated using Poisson regression models with robust variance adjusting for potential confounders. RESULTS: Data from 3037 individuals, 48.5% males, mean age of 55.6 (standard deviation ±12.7) years, were analyzed. The most common dyslipidemia pattern was high non-HDL-c with a prevalence of 88.0% (95% CI: 84.9%-90.7%) in the rural area and 96.0% (95% CI: 94.5%-97.1%) in the semi-urban area. Relative to the highly urban area, living in rural areas was associated with a lower prevalence of hypertriglyceridemia (PR = 0.75; 95% CI: 0.56-0.99) and high non-HDL-c (PR = 0.96; 95% CI: 0.93-0.99), whereas living in semi-urban areas was associated with higher prevalence high low-density lipoprotein cholesterol (PR = 1.37; 95% CI: 1.11-1.67). Compared with sea level areas, high-altitude areas had lower prevalence of high non-HDL-c (PR = 0.97; 95% CI: 0.95-0.99). CONCLUSION: Urbanization but not altitude was associated to several dyslipidemia traits, with the exception of high non-HDL-c in high altitude settings. en_US
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartofseries Journal of Clinical Lipidology
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Adult en_US
dc.subject Female en_US
dc.subject Humans en_US
dc.subject Male en_US
dc.subject Aged en_US
dc.subject Middle Aged en_US
dc.subject Cohort Studies en_US
dc.subject Altitude en_US
dc.subject Environment en_US
dc.subject Body Mass Index en_US
dc.subject Urbanization en_US
dc.subject Dyslipidemia en_US
dc.subject Rurality en_US
dc.subject Lipids/blood en_US
dc.subject Rural Population/statistics & numerical data en_US
dc.subject Urbanization en_US
dc.subject Dyslipidemias/blood/epidemiology en_US
dc.title Urbanization, mainly rurality, but not altitude is associated with dyslipidemia profiles en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1016/j.jacl.2017.06.016
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.04
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.18
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.04
dc.relation.issn 1933-2874


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