Breakfast Patterns and Their Likelihood of Increased Risk of Overweight/Obesity and Risk Factors for Metabolic Syndrome in Adults 19+ Years: National Health and Nutrition Examination Survey 2001-2008

Abstract Metabolic syndrome (MetS) is multifaceted. Risk factors include visceral adiposity, dyslipidemia, hyperglycemia, hypertension and environmental stimuli. MetS leads to an increased risk of cardiovascular disease, type 2 diabetes and stroke. Comparative studies, however, have identified heterogeneity in the pathology of MetS across groups though the etiology of these differences has yet to be elucidated. The Metabolic Syndrome Research Resource (MetSRR) described in this report is a curated database that provides access to MetS-associated biological and ancillary data and pools current and potential biomarkers of MetS extracted from relevant National Health and Nutrition Examination Survey (NHANES) data from 1999–2016. Each potential biomarker was selected following the review of over 100 peer-reviewed articles. MetSRR includes 28 demographics, survey and known MetS-related variables, including 9 curated categorical variables and 42 potentially novel biomarkers. All measures are captured from over 90 000 individuals. This biocuration effort provides increased access to curated MetS-related data and will serve as a hypothesis-generating tool to aid in novel biomarker discovery. In addition, MetSRR provides the ability to generate and export ethnic group-/race-, sex- and age-specific curated datasets, thus broadening participation in research efforts to identify clinically evaluative MetS biomarkers for disparate populations. Although there are other databases, such as BioM2MetDisease, designed to explore metabolic diseases through analysis of miRNAs and disease phenotypes, MetSRR is the only MetS-specific database designed to explore etiology of MetS across groups, through the biocuration of demographic, biological samples and biometric data. Database URL: http://www.healthdisparityinformatics.com/MetSRR

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Difference in risk factors for metabolic syndrome According to the condition and type of physical activity in middle age: Data from the Korea National Health and Nutrition Examination Survey(2014-2017)

Korean Journal of Sports Science ◽

10.35159/kjss.2019.08.28.4.967 ◽

2019 ◽

Vol 28 (4) ◽

pp. 967-984

Author(s):

Chae-Won Son ◽

Dae-Seung Yang

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Metabolic Syndrome ◽

National Health ◽

Middle Age ◽

Nutrition Examination Survey ◽

Health And Nutrition

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Sugar-Sweetened Beverage Consumption in Relation to Obesity and Metabolic Syndrome among Korean Adults: A Cross-Sectional Study from the 2012–2016 Korean National Health and Nutrition Examination Survey (KNHANES)

Nutrients ◽

10.3390/nu10101467 ◽

2018 ◽

Vol 10 (10) ◽

pp. 1467 ◽

Cited By ~ 10

Author(s):

Sangah Shin ◽

Seong-Ah Kim ◽

Jinwoo Ha ◽

Kyungjoon Lim

Keyword(s):

Metabolic Syndrome ◽

National Health ◽

Smoking Status ◽

Asian Population ◽

Nutrition Examination Survey ◽

Cross Sectional ◽

Korean Adults ◽

Health And Nutrition ◽

Increased Risk ◽

Prevalence Of Obesity

It is well known that the consumption of sugar-sweetened beverages (SSBs) increases the risk of developing obesity and metabolic syndrome (MetS). However, there are not many studies investigating the link between SSBs and increased incidences of diseases in the Asian population, and in particular, in Korea. We explored the association of SSB consumption with the risk of developing obesity and MetS among Korean adults (12,112 participants from the 2012–2016 Korean National Health and Nutrition Examination Survey). We calculated the total SSB consumption frequency by counting each beverage item, including soda beverages, fruit juices, and sweetened rice drinks. Obesity was defined as a body mass index ≥25 kg/m2, and MetS was defined using the National Cholesterol Education Program, Adult Treatment Panel III. A survey logistic regression analyses was conducted to examine the association of SSB consumption with obesity and MetS, adjusting for related confounders such as age, energy intake, household income, education, alcohol drinking, smoking status, and physical activity. The SSB consumption was positively associated with an increased risk of the prevalence for obesity (Odd ratio (OR): 1.60; 95% confidence interval (CI): 1.23–2.09; p for trend = 0.0009) and MetS (OR: 1.61; 95% CI: 1.20–2.16; p for trend = 0.0003) among women. In men, SSB consumption only contributed to a higher prevalence of obesity (OR: 1.38; 95% CI: 1.11–1.72; p for trend = 0.0041). In conclusion, increased consumption of SSBs was closely linked with a higher prevalence of obesity and MetS in the Korean population.

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C reactive protein level as a marker for dyslipidaemia, diabetes and metabolic syndrome: results from the Korea National Health and Nutrition Examination Survey

BMJ Open ◽

10.1136/bmjopen-2019-029861 ◽

2019 ◽

Vol 9 (8) ◽

pp. e029861 ◽

Cited By ~ 3

Author(s):

Hyemin Jeong ◽

Sun-Young Baek ◽

Seon Woo Kim ◽

Eun-Jung Park ◽

Jaejoon Lee ◽

...

Keyword(s):

Cardiovascular Disease ◽

Metabolic Syndrome ◽

General Population ◽

National Health ◽

Nutrition Examination Survey ◽

C Reactive Protein ◽

Reactive Protein ◽

Health And Nutrition ◽

Increased Risk ◽

The Mean

ObjectivePlasma C reactive protein (CRP) is a marker of inflammation, and increased plasma CRP is reported in many diseases, including cardiovascular disease, diabetes, metabolic syndrome, arthritis and malignancies. The aim of the study was to evaluate the association between plasma CRP levels and cardiovascular disease, metabolic syndrome, malignancies and other comorbidities.DesignA retrospective, cross-sectional survey study.SettingLarge population survey in Korea.MethodsA total of 5887 (weighted n=40 251 868) participants aged 19 years or older from the 2016 Korea National Health and Nutrition Examination Survey were included for analysis. Weighted prevalence and OR of comorbidities were analysed according to the continuous variable of log plasma high-sensitivity CRP levels.ResultsThe mean age was 46.7±0.37 years and the median plasma CRP was 0.58 mg/L (IQR 0.36–1.09). The mean plasma CRP levels were higher in participants with cardiovascular diseases and cardiovascular risk factors, osteoarthritis, rheumatoid arthritis, pulmonary tuberculosis, and several cancers, including gastric, colon, breast and cervix, than in the general population. In the multivariable analysis, plasma CRP concentration was associated with increased prevalence of hypertriglyceridaemia (OR 1.157, 95% CI 1.040 to 1.287, p=0.007), diabetes (OR 1.204, 95% CI 1.058 to 1.371, p=0.005) and metabolic syndrome (OR 1.228, 95% CI 1.112 to 1.357, p<0.001) after adjustment for socioeconomic and lifestyle characteristics. There was no significant association between plasma CRP level and cancers.ConclusionPlasma CRP was associated with an increased risk of dyslipidaemia, diabetes and metabolic syndrome in the general population.

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Associations between elevated kidney and liver biomarker ratios, metabolic syndrome and all-cause and coronary heart disease (CHD) mortality: analysis of the U.S. National Health and Nutrition Examination Survey (NHANES)

BMC Cardiovascular Disorders ◽

10.1186/s12872-021-02160-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Akinkunle Oye-Somefun ◽

Jennifer L. Kuk ◽

Chris I. Ardern

Keyword(s):

Metabolic Syndrome ◽

Coronary Heart Disease ◽

Heart Disease ◽

National Health ◽

Nutrition Examination Survey ◽

Health And Nutrition ◽

Increased Risk ◽

All Cause Mortality ◽

The U.S

Abstract Background We examined the relationship between ratios of select biomarkers of kidney and liver function on all-cause and coronary heart disease (CHD) mortality, both in isolation, and in combination with metabolic syndrome (MetS), among adults (20 + years, n = 10,604). Methods Data was derived from the U.S. National Health and Nutrition Examination Survey (1999–2016) including public-use linked mortality follow-up files through December 31, 2015. Results Select biomarker ratios of kidney (UACR or albuminuria and BUN-CR) and liver (AST-ALT and GGT-ALP) function in isolation and in combination with MetS were associated with all-cause and CHD mortality. Compared to individuals with neither elevated biomarker ratios nor MetS (HR = 1.00, referent), increased risk of all-cause mortality was observed in the following groups: MetS with elevated UACR (HR, 95% CI = 2.57, 1.99–3.33), MetS with elevated AST-ALT (HR = 2.22, 1.61–3.07), elevated UACR without MetS (HR = 2.12, 1.65–2.72), and elevated AST-ALT without MetS (HR = 1.71, 1.35–2.18); no other biomarker ratios were associated with all-cause mortality. For cause-specific deaths, elevated risk of CHD mortality was associated with MetS with elevated UACR (HR = 1.67, 1.05–2.67), MetS with elevated AST-ALT (HR = 2.80, 1.62–4.86), and elevated BUN-CR without MetS (HR = 2.12, 1.12–4.04); no other biomarker ratios were associated with CHD mortality. Conclusion Future longitudinal studies are necessary to examine the utility of these biomarker ratios in risk stratification for chronic disease management.

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