Literature DB >> 24745860

Hypertriglyceridemic waist phenotype and risk of cardiovascular diseases in China: results from the Kailuan Study.

Anxin Wang1, Zhaoxia Li2, Yong Zhou2, Chunxue Wang2, Yanxia Luo3, Xiaoxue Liu4, Xiuhua Guo5, Shouling Wu6, Xingquan Zhao7.   

Abstract

BACKGROUND: While some case-control studies have showed the correlation between the hypertriglyceridemic waist (HTGW) phenotype (increased WC and hypertriglyceridemia) and cardiovascular disease (CVD) events, there are few data regarding this correlation in cohort studies, especially in Asian populations that have a higher prevalence of central obesity than other populations.
OBJECTIVE: The aim of this study was to explore the relationship between HTGW phenotype and risk of incident CVD events among men and women in China.
METHODS: We analyzed 95,015 participants (18-98 years old) in the Kailuan Study. CVDs developed in 1958 people during follow-up. The cutoffs for defining HTGW phenotype were a waist circumference (WC) of 90 cm or more and a triglyceride level of 2.0 mmol/L or more for men and a WC of 85 cm or more and a triglyceride level of 1.5 mmol/L or more for women. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated from Cox regression models.
RESULTS: Compared with participants who had a normal WC and a normal triglyceride level (NWNT), those with HTGW phenotype had a higher WC, body mass index, prevalence of hypertension and diabetes mellitus; and a lower level of high-density lipoprotein cholesterol. The HTGW group had an unadjusted HR of 1.76 (95% CI=1.55-1.99) for future CVDs compared with the NWNT group. After adjustment for confounders, the HR still remained significant (HR=1.24, 95% CI=1.07-1.44).
CONCLUSIONS: HTGW phenotype was associated with the risk of CVDs independently. HTGW phenotype might be a simple but useful tool to screen the individuals at a high risk for future CVDs, and it might be recommended in most clinical practices.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  CVD risk; Hypertriglyceridemic waist (HTGW) phenotype; Triglycerides; Waist circumference

Mesh:

Year:  2014        PMID: 24745860     DOI: 10.1016/j.ijcard.2014.03.177

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  19 in total

1.  Hypertriglyceridemic waist phenotype and abnormal glucose metabolism: a system review and meta-analysis.

Authors:  Chun-Ming Ma; Xiao-Li Liu; Na Lu; Rui Wang; Qiang Lu; Fu-Zai Yin
Journal:  Endocrine       Date:  2019-05-07       Impact factor: 3.633

2.  Association of hypertriglyceridemic waist phenotype with renal function impairment: a cross-sectional study in a population of Chinese adults.

Authors:  Yun Qiu; Qi Zhao; Na Wang; Yuting Yu; Ruiping Wang; Yue Zhang; Shuheng Cui; Meiying Zhu; Xing Liu; Yonggen Jiang; Genming Zhao
Journal:  Nutr Metab (Lond)       Date:  2020-08-05       Impact factor: 4.169

3.  Lifetime Average Cannabis Use in Relation to Hypertriglyceridemic Waist Phenotype in U.S. Adults: A Population-Based Cross-Sectional Study.

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Journal:  Cannabis Cannabinoid Res       Date:  2020-09-02

4.  Resting heart rate and risk of cardiovascular diseases and all-cause death: the Kailuan study.

Authors:  Anxin Wang; Shuohua Chen; Chunxue Wang; Yong Zhou; Yuntao Wu; Aijun Xing; Yanxia Luo; Zhe Huang; Xiaoxue Liu; Xiuhua Guo; Xingquan Zhao; Shouling Wu
Journal:  PLoS One       Date:  2014-10-24       Impact factor: 3.240

5.  Impact of baseline systolic blood pressure on visit-to-visit blood pressure variability: the Kailuan study.

Authors:  Anxin Wang; Zhifang Li; Yuling Yang; Guojuan Chen; Chunxue Wang; Yuntao Wu; Chunyu Ruan; Yan Liu; Yilong Wang; Shouling Wu
Journal:  Ther Clin Risk Manag       Date:  2016-08-02       Impact factor: 2.423

6.  Cumulative Resting Heart Rate Exposure and Risk of All-Cause Mortality: Results from the Kailuan Cohort Study.

Authors:  Quanhui Zhao; Haibin Li; Anxin Wang; Jin Guo; Junxing Yu; Yanxia Luo; Shuohua Chen; Lixin Tao; Yuqing Li; Aiping Li; Xiuhua Guo; Shouling Wu
Journal:  Sci Rep       Date:  2017-01-09       Impact factor: 4.379

7.  The effect of lipid accumulation product and its interaction with other factors on hypertension risk in Chinese Han population: A cross-sectional study.

Authors:  Jian Song; Yingying Zhao; Sumei Nie; Xue Chen; Xuesen Wu; Jing Mi
Journal:  PLoS One       Date:  2018-06-06       Impact factor: 3.240

8.  Risk scores for predicting incidence of type 2 diabetes in the Chinese population: the Kailuan prospective study.

Authors:  Anxin Wang; Guojuan Chen; Zhaoping Su; Xiaoxue Liu; Xiangtong Liu; Haibin Li; Yanxia Luo; Lixin Tao; Jin Guo; Long Liu; Shuohua Chen; Shouling Wu; Xiuhua Guo
Journal:  Sci Rep       Date:  2016-05-25       Impact factor: 4.379

9.  Genome- and epigenome-wide association study of hypertriglyceridemic waist in Mexican American families.

Authors:  Manju Mamtani; Hemant Kulkarni; Thomas D Dyer; Harald H H Göring; Jennifer L Neary; Shelley A Cole; Jack W Kent; Satish Kumar; David C Glahn; Michael C Mahaney; Anthony G Comuzzie; Laura Almasy; Joanne E Curran; Ravindranath Duggirala; John Blangero; Melanie A Carless
Journal:  Clin Epigenetics       Date:  2016-01-20       Impact factor: 6.551

10.  Association of Persistent, Incident, and Remittent Proteinuria With Stroke Risk in Patients With Diabetes Mellitus or Prediabetes Mellitus.

Authors:  Anxin Wang; Ruixuan Jiang; Zhaoping Su; Jia Zhang; Xingquan Zhao; Shouling Wu; Xiuhua Guo
Journal:  J Am Heart Assoc       Date:  2017-10-12       Impact factor: 5.501

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