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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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