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 |
|