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Urbanization, mainly rurality, but not altitude is associated with dyslipidemia profiles

*Corresponding author for this work
  • Universidad Peruana Cayetano Heredia
    ,
  • Universidad Peruana Cayetano Heredia
    ,
  • London School of Hygiene and Tropical Medicine
    ,
  • Johns Hopkins University
    ,
  • Asociación Benéfica PRISMA
    ,
  • Johns Hopkins University School of Medicine
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1212-1222.e4

Journal (Volume, Issue Number)

Journal of Clinical Lipidology (Volume 11, Issue 5)

Publication milestones

  • Published - 09/2017

Publication status

Published - 09/2017

ISSN

1933-2874

Publication IDs

  • Scopus: 85026642064
  • PubMed: 28780399

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.

Funding Details

Funding: This project has been funded in whole with Federal funds from the United States National Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN268200900033 C. Dr Checkley was further supported by a Pathway to Independence Award (R00HL096955) from the National Heart, Lung and Blood Institute. Dr Smeeth is a Senior Clinical Fellow and Antonio Bernabe-Ortiz is a Research Training Fellow in Public Health and Tropical Medicine (103994/Z/14/Z), both funded by Wellcome Trust. Dr Miranda currently receives, or has received, further support from the Alliance for Health Policy and Systems Research (HQHSR1206660), Consejo Nacional de Ciencia y Tecnología (CONCYTEC), Grand Challenges Canada (0335-04, the International Development Research Center Canada (106887-001), the Inter-American Institute for Global Change Research (IAI CRN3036), the National Heart, Lung and Blood Institute (5U01HL114180, HHSN268200900028C-3-0-1), the National Institute of Mental Health (1U19MH098780), the Swiss National Science Foundation (40P740-160366), Universidad Peruana Cayetano Heredia, and the Wellcome Trust (GR074833 MA, WT093541AIA).
FundersFunding numbers
United States National Heart, Lung, and Blood Institute
-
NIH
-
HHS
HHSN268200900033
NIMH
U19MH098780
NHLBI
R00HL096955, 103994/Z/14/Z
AHPSR
HQHSR1206660
WT
-
UPCH
WT093541AIA, GR074833
IDRC
106887-001
SNF
40P740-160366
CONACYT
-
GCC
0335-04
IAI
5U01HL114180, IAI CRN3036, HHSN268200900028C-3-0-1

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Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well
  • SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities