Association of high-density lipoprotein with development of metabolic syndrome components: a five-year follow-up in adultsReportar como inadecuado




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BMC Public Health

, 15:412

Chronic Disease epidemiology

Abstract

BackgroundHigh-density lipoprotein HDL is associated with the incidence of metabolic syndrome MetS. It is unclear whether subjects with different HDL levels develop different components of MetS over time. Our study aimed to determine what MetS components tend to emerge and change relative to different levels of HDL.

MethodsDuring the period 2007 to 2012, 4,905 adults in Tongren and Xiaotangshan Hospitals in Beijing were included with no MetS, self-reported type 2 diabetes, or cardiovascular disease at baseline. An association rule was used to determine the changes of MetS components over time.

ResultsThe incidence of MetS at follow-up was 3.40% for men and 1.50% for women in the high-normal HDL group; 6.65% and 4.55%, respectively, in the normal HDL group; and 11.05% and 6.45%, respectively, in the low HDL group. The most common transition was from healthy to healthy in normal-high or normal HDL groups 47.2% to 63.8%, whereas 11.7% to 39.9% of subjects with low HDL returned to healthy status or stayed unchanged in the low HDL group. The most common new-onset components were elevated blood pressure 9.2 to 10.0%, elevated high-density lipoprotein 5.5 to 11.0%, and raised fasting glucose 5.4 to 5.5% in the groups with normal-high or normal HDL.

ConclusionsThe incidence of MetS increased in parallel with the decrease in HDL. Adults with a low HDL level were more susceptible to developing MetS over time. Low HDL seemed to be a pre-existing phase of MetS and may be a crucial status for MetS prevention.

KeywordsMetabolic syndrome High-density lipoprotein Follow-up study Adults AbbreviationsHDLHigh-density lipoprotein

MetSMetabolic syndrome

CVDCardiovascular disease

DMDiabetes mellitus

ARMAssociation rule mining

BPBlood pressure

SBPSystolic blood pressure

DBPDiastolic blood pressure

BMIBody mass index

WCWaist circumference

MBAMarket basket analysis

SDStandard deviation

MCMCMarkov chain Monte Carlo

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Autor: Xiangtong Liu - Lixin Tao - Kai Cao - Zhaoping Wang - Dongning Chen - Jin Guo - Huiping Zhu - Xinghua Yang - Youxin Wang

Fuente: https://link.springer.com/







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