CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru; CONEVID Unidad de Conocimiento y Evidencia, Universidad Peruana Cayetano Heredia, Lima, Peru.
CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
J Clin Lipidol. 2017 Sep-Oct;11(5):1212-1222.e4. doi: 10.1016/j.jacl.2017.06.016. Epub 2017 Jul 5.
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.
To characterize the association between altitude and urbanization and lipid profile among Peruvian adults aged ≥35 years.
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.
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).
Urbanization but not altitude was associated to several dyslipidemia traits, with the exception of high non-HDL-c in high altitude settings.
城市化和海拔等地理和环境特征可能会因人类与环境的互动多样性而影响个体的脂质谱,包括生活方式。
描述秘鲁≥35 岁成年人的海拔和城市化水平与血脂谱之间的关系。
横断面分析 CRONICAS 队列研究。感兴趣的结局是 6 种血脂异常特征:高甘油三酯血症、高低密度脂蛋白胆固醇、低高密度脂蛋白胆固醇(HDL-c)、非孤立性低 HDL-c、孤立性低 HDL-c 和高非高密度脂蛋白胆固醇。感兴趣的暴露因素是城市化水平(高度城市化、城市化、半城市化和农村)和海拔(高海拔与海平面)。使用泊松回归模型计算具有稳健方差的患病率比(PR)和 95%置信区间(95%CI),并调整潜在混杂因素。
共分析了 3037 名男性占 48.5%、平均年龄 55.6(标准差±12.7)岁的个体的数据。农村地区最常见的血脂异常模式是高非高密度脂蛋白胆固醇,患病率为 88.0%(95%CI:84.9%-90.7%),半农村地区为 96.0%(95%CI:94.5%-97.1%)。与高度城市化地区相比,居住在农村地区与较低的高甘油三酯血症(PR=0.75;95%CI:0.56-0.99)和高非高密度脂蛋白胆固醇(PR=0.96;95%CI:0.93-0.99)患病率相关,而居住在半农村地区与较高的高低密度脂蛋白胆固醇患病率相关(PR=1.37;95%CI:1.11-1.67)。与海平面地区相比,高海拔地区的高非高密度脂蛋白胆固醇患病率较低(PR=0.97;95%CI:0.95-0.99)。
城市化而不是海拔与几种血脂异常特征相关,除了高海拔地区的高非高密度脂蛋白胆固醇外。