期刊
JOURNAL OF CLINICAL LIPIDOLOGY
卷 11, 期 5, 页码 1212-1222出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacl.2017.06.016
关键词
Urbanization; Rurality; Altitude; Dyslipidemia; Environment
资金
- United States National Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services [HHSN268200900033 C]
- National Heart, Lung and Blood Institute [R00HL096955, 5U01HL114180, HHSN268200900028C-3-0-1]
- Wellcome Trust [103994/Z/14/Z, GR074833 MA, WT093541AIA]
- Alliance for Health Policy and Systems Research [HQHSR1206660]
- Consejo Nacional de Ciencia y Tecnologia (CONCYTEC)
- Grand Challenges Canada [0335-04]
- International Development Research Center Canada [106887-001]
- Inter-American Institute for Global Change Research [IAI CRN3036]
- National Institute of Mental Health [1U19MH098780]
- Swiss National Science Foundation [40P740-160366]
- Universidad Peruana Cayetano Heredia
- Medical Research Council [MR/K007467/1] Funding Source: researchfish
- MRC [MR/K007467/1] Funding Source: UKRI
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 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. (c) 2017 National Lipid Association. Published by Elsevier Inc.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据