The Influence of Abdominal and Ectopic Fat Accumulation on Carotid Intima-Media Thickness: A Chongqing Study

Xu, Yi; Liu, Yuhui; Zhou, Xin‐Fu; Wang, Yan‐Jiang; Deng, Juan; Liu, Juan; He, Hongbo; Xu, Zhi‐Qiang

doi:10.1016/j.jstrokecerebrovasdis.2018.02.052

Cited by 12 publications

(7 citation statements)

References 24 publications

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“…Laguna et al did not find increased CIMT in patients with PAD. 12 Our results are similar to those of Yi et al, who found that patients with ectopic liver fat accumulation have higher CIMT and increased risk of atherosclerosis; 13 moreover, with those of Acele et al, who found an association between EFT and thoracic aortic intima-media thickness. 14 However, none of those trials determined ABI.…”

Section: Discussionsupporting

confidence: 91%

Correlation between epicardial fat thickness with intima–media thickness and ankle–brachial index in patients with metabolic syndrome

Arana-Pazos¹,

Narváez-Rivera²,

Maceda-Serrano³

et al. 2021

NMJI

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Background An increase in epicardial fat thickness (EFT) has been associated with increased cardiovascular risk and the development of atherosclerosis. Transthoracic echo-cardiography provides a reliable measurement of EFT. We evaluated the relationship of EFT with carotid intima–media thickness (CIMT) and ankle–brachial index (ABI), in patients with metabolic syndrome. Methods We assessed 80 patients with metabolic syndrome who underwent echocardiography; EFT was measured by two cardiologists. The CIMT (B-mode colour imaging of extracranial carotid arteries using high-resolution ultrasound) was also measured by a certified ultrasonographer, and ABI was measured by the main researcher. Results We did not find any correlation between ABI with EFT (r=0.0103, p=0.93) or with CIMT (r=–0.1625, p=0.15). However, we found a significant correlation between EFT and CIMT (r=0.2718, r2=0.074, p=0.015). When we evaluated the risk for a CIMT >0.9 mm in patients with an EFT >3 mm, we found a statistically significant association (p=0.039). Interestingly, only 1 patient with an EFT <3 mm had a CIMT >0.9 mm. Conclusion We found that the EFT correlates with CIMT in patients with metabolic syndrome, which explains, at least in part, the higher risk of atherosclerosis in them. Measurement of EFT should be part of the cardiovascular risk evaluation in patients with metabolic syndrome.

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Section: Discussionsupporting

confidence: 91%

Correlation between epicardial fat thickness with intima–media thickness and ankle–brachial index in patients with metabolic syndrome

Arana-Pazos¹,

Narváez-Rivera²,

Maceda-Serrano³

et al. 2021

NMJI

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“…Effects of adiposity on insulin resistance.-Ectopic fat contributes to insulin resistance. Intrahepatic fat, a form of ectopic fat, is associated with increased cardiometabolic risk factors and CVD (58,65). However, there is much to learn about the predictive value of ectopic fat and more specifically of nonalcoholic fatty liver disease in ABCD and CMBCD.…”

Section: Metabolic Drivers Adiposity-based Chronic Diseasementioning

confidence: 99%

Cardiometabolic-Based Chronic Disease, Adiposity and Dysglycemia Drivers

Mechanick

Farkouh

Newman

et al. 2020

Journal of the American College of Cardiology

146

120

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“…Obesity is a common risk factor for many diseases, such as metabolic syndrome, coronary heart disease, and type 2 diabetes [1,2]. The global incidence of obesity is 13%, and the number of obese people has increased rapidly in China, gravely impacting the health of the Chinese population [3,4]. Obesity is caused by excessive accumulation of fat and can be classified according to the location of fat accumulation as general obesity, central obesity or visceral obesity.…”

Section: Introductionmentioning

confidence: 99%

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

Chen

et al. 2020

BMC Endocr Disord

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Background: One of most important concerns of postmenopausal women is obesity. The relationships between menstruation status and obesity phenotypes are unclear. This study aimed to assess the associations between menstrual status and different obesity phenotypes in women. Methods: In total, 5373 women aged ≥40 years were recruited from the Jidong and Kailuan communities. Basic information was collected via clinical examination, laboratory testing and standardized questionnaires. The women were stratified into the following three groups: menstrual period, menopausal transition period and postmenopausal period. General obesity was defined as a body mass index (BMI) of ≥28 kg/m 2. Central obesity was defined as a waist-to-hip ratio (WHR) of > 0.85. Visceral obesity was defined as the presence of nonalcoholic fatty liver disease (NAFLD) and increased pericardial fat volume (PFV). Results: The numbers of women in the menstrual, menopausal transition, and postmenopausal periods were 2807 (52.2%), 675 (12.6%) and 1891 (35.2%), respectively. The adjusted odds ratio (OR) and 95% confidence interval (CI) for central obesity among women in the menopausal transition and postmenopausal periods compared with women in the menstrual period were 0.99 (0.82-1.19) and 1.52 (1.26-1.84), respectively. The OR for NAFLD among postmenopausal women was 1.78 (1.44-2.20). The adjusted β-coefficient (standard error, SE) for PFV among postmenopausal women was 41.25 (7.49). The adjusted OR for general obesity among postmenopausal women was 1.01 (0.77-1.34). Conclusions: This study demonstrated that menopause is an independent risk factor for central and visceral obesity but not general obesity.

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The Influence of Abdominal and Ectopic Fat Accumulation on Carotid Intima-Media Thickness: A Chongqing Study

Cited by 12 publications

References 24 publications

Correlation between epicardial fat thickness with intima–media thickness and ankle–brachial index in patients with metabolic syndrome

Correlation between epicardial fat thickness with intima–media thickness and ankle–brachial index in patients with metabolic syndrome

Cardiometabolic-Based Chronic Disease, Adiposity and Dysglycemia Drivers

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

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