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The 23-year tracking of blood lipids from adolescence to adulthood in Korea: the Kangwha study

Overview of attention for article published in Lipids in Health and Disease, November 2017
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Title
The 23-year tracking of blood lipids from adolescence to adulthood in Korea: the Kangwha study
Published in
Lipids in Health and Disease, November 2017
DOI 10.1186/s12944-017-0615-2
Pubmed ID
Authors

Jung Hyun Lee, Hyeon Chang Kim, Dae Ryong Kang, Il Suh

Abstract

Several studies have examined tracking pattern of blood lipids level during long follow-up periods in Western countries. However, there have been few such studies in Asian populations. The Kangwha Study is a community-based prospective cohort study that started in 1986 on Kangwha Island, South Korea. A total of 432 participants (47% men) were enrolled in the study, during which serum total cholesterol, triglycerides, and high-density lipoprotein (HDL) cholesterol levels were measured for each participant at least once during adolescence (12-16 years of age) and again at least once during adulthood (25-35 years of age). The tracking patterns of the blood lipid levels were determined using Spearman correlation coefficients and tracking coefficients from generalized estimating equations. The Spearman correlation coefficients between lipid measurements ranged from 0.12 to 0.73 depending on the lipid profile and measurement time interval; all were significant (p < 0.05). The magnitude of the coefficients tended to decrease as the time interval increased. When adjusted for age, sex, body mass index, and blood pressure, the tracking coefficients were 0.58 (95% confidence interval [CI]: 0.54-0.63) for total cholesterol, 0.39 (95% CI: 0.31-0.48) for triglycerides, and 0.51 (95% CI: 0.47-0.56) for HDL cholesterol. In a subgroup analysis by sex, the tracking coefficients were higher for women than for men, except for HDL cholesterol. The tracking patterns of blood lipids from adolescence to adulthood were notable. This study supports the importance of measuring lipids during adolescence for identifying high-risk individuals.

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 15%
Researcher 5 15%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Professor > Associate Professor 2 6%
Other 4 12%
Unknown 12 36%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Nursing and Health Professions 3 9%
Veterinary Science and Veterinary Medicine 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 15%
Unknown 14 42%