Trends in the prevalence of metabolic syndrome and its components in the United States 2007–2014

Shin, Doosup; Kongpakpaisarn, Kullatham; Bohra, Chandrashekar

doi:10.1016/j.ijcard.2018.01.139

Cited by 141 publications

(115 citation statements)

References 9 publications

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“…With overall prevalence continuing to increase every year (Beltrán-Sánchez, Harhay, Harhay, & McElligott, 2013), MetS is now considered as a substantial threat for the development of vascular-related cognitive impairment (Van den Berg, Biessels, Craen, Gussekloo, & Westendorp, 2007;Kim & Feldman, 2015;Yaffe, Weston, Blackwell, & Krueger, 2009) and neurodegenerative conditions such as vascular dementia Solfrizzi et al, 2011) and Alzheimer's disease (AD) (Misiak, Leszek, & Kiejna, 2012;Raffaitin et al, 2009). Prevalence rates have been estimated to approach 35% of the general U.S. population and increase to 54.7% of older adults over the age of 60, suggesting that older adults are disproportionally affected by the syndrome (Shin, Kongpakpaisarn, & Bohra, 2018). Moreover, given the fact that MetS is highly prevalent in middle age (Aguilar, Bhuket, Torres, Liu, & Wong, 2015;Arai et al, 2010;Grundy, 2008), there is a great need for early detection and intervention in order to prevent or delay cognitive and functional decline.…”

Section: Introductionmentioning

confidence: 99%

Aberrant patterns of default‐mode network functional connectivity associated with metabolic syndrome: A resting‐state study

et al. 2019

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IntroductionMetabolic syndrome (MetS) is a clustering of three or more cardiovascular risk factors (RF), including hypertension, obesity, high cholesterol, or hyperglycemia. MetS and its component RFs are more prevalent in older age, and can be accompanied by alterations in brain structure. Studies have shown altered functional connectivity (FC) in samples with individual RFs as well as in clinical populations that are at higher risk to develop MetS. These studies have indicated that the default mode network (DMN) may be particularly vulnerable, yet little is known about the overall impact of MetS on FC in this network.MethodsIn this study, we evaluated the integrity of FC to the DMN in participants with MetS relative to non‐MetS individuals. Using a seed‐based connectivity analysis approach, resting‐state functional MRI (fMRI) data were analyzed, and the FC measures among the DMN seed (isthmus of the cingulate) and rest of the brain voxels were estimated.ResultsParticipants with MetS demonstrated reduced positive connectivity between the DMN seed and left superior frontal regions, and reduced negative connectivity between the DMN seed and left superior parietal, left postcentral, right precentral, right superior temporal and right superior parietal regions, after accounting for age‐ and sex‐effects.ConclusionsOur results suggest that MetS is associated with alterations in FC between the DMN and other regions of the brain. Furthermore, these results indicate that the overall burden of vascular RFs associated with MetS may, in part, contribute to the pathophysiology underlying aberrant FC in the DMN.

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Section: Introductionmentioning

confidence: 99%

Aberrant patterns of default‐mode network functional connectivity associated with metabolic syndrome: A resting‐state study

et al. 2019

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“…The metabolic syndrome (MetS) is characterized by at least three of the following: obesity, dysglycemia, hypertension, an elevated level of plasma triglycerides, and a low level of high‐density lipoprotein (HDL) cholesterol . The prevalence of the MetS is steadily increasing worldwide; nearly one‐third of the US population had MetS between 2007 and 2014 . According to the Israel Center of Disease Control, during 2013 to 2015, almost one‐fifth of the Israeli population aged 21 years or older reported having been diagnosed with hypertension, 8% with diabetes and 30% with elevated levels of cholesterol or plasma triglycerides, and over 50% were overweight or obese…”

Section: Introductionmentioning

confidence: 99%

The metabolic syndrome and its components are differentially associated with chronic diseases in a high‐risk population of 350 000 adults: A cross‐sectional study

Assi

Ziv

Dankner

2019

Diabetes Metabolism Res

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Aims: We compared strengths of associations conferred by the metabolic syndrome (MetS) and its components across four chronic disease categories (cancer, cardiovascular diseases [CVDs], chronic kidney disease [CKD], and chronic obstructive pulmonary disease [COPD]) in a community-dwelling high-risk population.Methods: This is a cross-sectional analysis of Israeli adults insured in a single health maintenance organization during 2010 to 2013 and having greater than or equal to two MetS components (hypertension, dysglycemia, low high-density lipoprotein level, high plasma triglyceride level, and obesity). Data regarding MetS components, chronic disease prevalence, and sociodemographic variables were retrieved from electronic health records and disease registries. Results: Among 347 244 eligible members, 54.2% had MetS. MetS was negatively associated with cancer, (prevalence ratio [PR] = 0.86; 95% confidence interval, 0.79-0.93) and positively associated with CKD (PR = 1.07, [1.01-1.13]). Some MetS components conferred different associations across the chronic diseases: a high triglyceride level was positively associated with cancer (PR = 1.15, 1.12-1.18) and CKD (PR = 1.37, 1.32-1.41) but negatively associated with CVD (PR = 0.88, 0.86-0.90) and COPD (PR = 0.93, 0.88-0.98). In the presence of MetS, those with dysglycemia had higher cancer prevalence than those with normoglycemia (PR-interaction MetS*dysglycemia on cancer = 1.14, 1.06-1.22). Likewise, in the presence of MetS, men were more likely than women to present with CVD (PR-interaction MetS*sex on CVD = 1.12, [1.05-1.20]). Conclusions: Prevalences of the MetS and MetS components distribute unequally across four chronic diseases. MetS including dysglycemia may warrant screening for cancer, and MetS in males may indicate the presence of CVD. Longitudinal studies may reveal if MetS is associated with different risks or merely indicates better prognosis once having a chronic illness.

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“…Metabolic syndrome (MetS) represents a cluster of metabolic disorders, including obesity, hyperglycemia, hypertension, and dyslipidemia. The prevalence of MetS remains stable in nearly 35% of all adults in the United States (1,2). A recent study showed a high prevalence of MetS at 33.9% (31% in men and 36.8% in women), with a dramatic increase from 2000 to 2010 in China (3).…”

Section: Introductionmentioning

confidence: 99%

The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma

et al. 2020

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Background: Metabolic syndrome (MetS) is associated with the development of esophageal squamous cell carcinoma (ESCC), and long non-coding RNAs (lncRNAs) are involved in a variety of mechanisms of MetS and tumor. This study will explore the prognostic effect of MetS and the associated lncRNA signature on ESCC.Methods: Our previous RNA-chip data (GSE53624, GSE53622) for 179 ESCC patients were reanalyzed according to MetS. The recurrence-free survival (RFS) was collected for these patients. The status of the MetS-related tumor microenvironment was analyzed with the CIBERSORT and ESTIMATE algorithms. A lncRNA signature was established with univariate and multivariate Cox proportional hazards regression (PHR) analysis and verified using the Kaplan-Meier survival curve analysis and time-dependent receiver operating characteristic (ROC) curves. A clinical predictive model was constructed based on multiple risk factors, evaluated using C-indexes and calibration curves, and verified using data from the GEO and TCGA databases. Results:The results showed that MetS was an independent risk factor for ESCC patients conferring low OS and RFS. Tumor microenvironment analysis indicated that patients with MetS have high stromal scores and M2 macrophage infiltration. A six-lncRNA signature was established by 60 ESCC patients randomly selected from GSE53624 and identified with an effective predictive ability in validation cohorts (59 patients from GSE53624 and 60 patients from GSE53622), subgroup analysis, and ESCC patients from TCGA. MetS and the six-lncRNA signature could be regarded as independent risk factors and enhanced predictive ability in the clinical predictive model. Conclusions:Our results indicated that MetS was associated with poor prognosis in ESCC patients, and the possible mechanism was related to changes in the tumor microenvironment. MetS and the six-lncRNA signature could also serve as independent risk factors with available clinical application value.

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Trends in the prevalence of metabolic syndrome and its components in the United States 2007–2014

Cited by 141 publications

References 9 publications

Aberrant patterns of default‐mode network functional connectivity associated with metabolic syndrome: A resting‐state study

Aberrant patterns of default‐mode network functional connectivity associated with metabolic syndrome: A resting‐state study

The metabolic syndrome and its components are differentially associated with chronic diseases in a high‐risk population of 350 000 adults: A cross‐sectional study

The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma

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