Literature DB >> 30712318

Ideal cardiovascular health metrics and the risk of non-alcoholic fatty liver disease: A cross-sectional study in northern China.

Huamin Liu1, Yan Yao2, Youxin Wang3, Likun Ma4, Xuezhen Liu1, Shasha Guo1, Xia Feng1, Yanru Chen1, Xueyu Chen1, Zhongni Liu5, Long Ji1, Dong Li1, Yong Zhou6.   

Abstract

BACKGROUND AND
PURPOSE: The components of ideal cardiovascular health (CVH) metrics have been shown to be associated with non-alcoholic fatty liver disease (NAFLD). The present study aimed to determine the association between ideal CVH metrics and NAFLD.
METHODS: A total of 10,511 participants (47.26% men) aged 18 to 92 years were selected from the Jidong and Kailuan communities. Ideal CVH was based on 7 ideal CVH metrics: smoking, body mass index (BMI), physical activity, diet, total cholesterol, blood pressure and fasting blood glucose. NAFLD was determined by abdominal ultrasonography. All participants underwent questionnaire assessments and clinical and laboratory examinations. Logistic regression models were used to analyse the relationship of CVH metrics and the number of ideal CVH metrics with NAFLD.
RESULTS: The prevalence rates of NAFLD by CVH summary score quartiles were 64.38% (2,015/3,130), 50.16% (786/1,567), 33.28% (1,194/3,588) and 20.89% (465/2,226). Participants in the highest quartile showed a lower odds ratio (OR) than those in the lowest quartile (fully adjusted OR: 0.17, 95% CI: 0.17-0.20, P < 0.001). Similar results were observed in subjects stratified by sex and age (45 years). The ORs were progressively decreased with an increased number of ideal CVH metrics (all P < 0.001).
CONCLUSIONS: NAFLD was significantly associated with both the summary score of CVH metrics and the number of ideal CVH metrics. The combined evaluation of ideal CVH may contribute to the prevention of NAFLD.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  association; ideal cardiovascular health; non-alcoholic fatty liver disease; risk factors

Mesh:

Substances:

Year:  2019        PMID: 30712318     DOI: 10.1111/liv.14060

Source DB:  PubMed          Journal:  Liver Int        ISSN: 1478-3223            Impact factor:   5.828


  5 in total

1.  Relationships between menstrual status and obesity phenotypes in women: a cross-sectional study in northern China.

Authors:  Xueyu Chen; Hui Xi; Long Ji; Weihua Liu; Fengxue Shi; Yanru Chen; Xiaohui Wang; Wenran Zhang; Xinxia Sui; Xiaojun Wang; Haitao Zhang; Huamin Liu; Dong Li
Journal:  BMC Endocr Disord       Date:  2020-06-22       Impact factor: 2.763

2.  Adherence to Ideal Cardiovascular Health Metrics Is Associated With Reduced Odds of Hepatic Steatosis.

Authors:  Leah R DeCoste; Na Wang; Joseph N Palmisano; Jean Mendez; Udo Hoffmann; Emelia J Benjamin; Michelle T Long
Journal:  Hepatol Commun       Date:  2020-10-10

3.  Associations Between Abdominal Obesity Indices and Nonalcoholic Fatty Liver Disease: Chinese Visceral Adiposity Index.

Authors:  Xueyu Chen; Fengxue Shi; Juan Xiao; Fengyan Huang; Fang Cheng; Lihua Wang; Yanli Ju; Yong Zhou; Hongying Jia
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-10       Impact factor: 5.555

4.  Ideal Cardiovascular Health Metrics and Risk of Incident Early-Onset Vasomotor Symptoms Among Premenopausal Women.

Authors:  Hye Rin Choi; Yoosoo Chang; Yejin Kim; Yoosun Cho; Jeonggyu Kang; Min-Jung Kwon; Ria Kwon; Ga-Young Lim; Kye-Hyun Kim; Hoon Kim; Yun Soo Hong; Jihwan Park; Di Zhao; Juhee Cho; Eliseo Guallar; Hyun-Young Park; Seungho Ryu
Journal:  J Clin Endocrinol Metab       Date:  2022-08-18       Impact factor: 6.134

5.  Relationship between AGT rs2493132 polymorphism and the risk of coronary artery disease in patients with NAFLD in the Chinese Han population.

Authors:  Mengzhen Dong; Shousheng Liu; Mengke Wang; Yifen Wang; Yongning Xin; Shiying Xuan
Journal:  J Int Med Res       Date:  2021-07       Impact factor: 1.671

  5 in total

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