ArticleJournal of clinical lipidology
Urbanization, mainly rurality, but not altitude is associated with dyslipidemia profiles.
Article in Journal of clinical lipidology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Urban health inequities and healthy longevity: traditional and emerging risk factors across the cities and policy implications.Aging clinical and experimental research · 2025Review
- Epidemiology and Prevalence of Dyslipidemia Among Adult Population of Tehran: The Tehran Cohort Study.Archives of Iranian medicine · 2024Article
- Assessing the effect of socioeconomic factors on prevalence of dyslipidemia among iranian adult population; district level analysis from 2016 STEPS national study using small area estimation.Journal of diabetes and metabolic disorders · 2022Article
- Urbanization, Altitude and Cardiovascular Risk.Global heart · 2022Article
- Khat Chewing and Lipid Profile in Human and Experimental Animals.BioMed research international · 2021Review
- Cardiovascular Disease in the Peruvian Andes: Local Perceptions, Barriers, and Paths to Preventing Chronic Diseases in the Cajamarca Region.International journal of public health · 2021Article
- Outcome Reporting Variability in Trials of Chinese Medicine for Hyperlipidemia: A Systematic Review for Developing a Core Outcome Set.Evidence-based complementary and alternative medicine : eCAM · 2021Review
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Authors and funding
9 authors.
Funding
Abstract
backgroundGeographical and environmental features such as urbanization and altitude may influence individual's lipid profiles because of the diversity of human-environment interactions including lifestyles.
objectiveTo characterize the association between altitude and urbanization and lipid profile among Peruvian adults aged ≥35 years.
methodsCross-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.
resultsData 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).
conclusionUrbanization but not altitude was associated to several dyslipidemia traits, with the exception of high non-HDL-c in high altitude settings.
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