scholarly journals 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)

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.

Association between selenium intake, diabetes, and mortality in adults: findings from National Health and Nutrition Examination Survey (NHANES) 2003-2014

2021 ◽  
pp. 1-24
Author(s):  
Bushra Hoque ◽  
Zumin Shi
Keyword(s):  
National Health ◽  
Cox Regression ◽  
Inverse Association ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Hazard Ratios ◽  
The Us ◽  
All Cause Mortality ◽  
Cvd Mortality

Abstract Selenium (Se) is a trace mineral that has antioxidant and anti-inflammatory properties. This study aimed to investigate the association between Se intake, diabetes, all-cause and cause-specific mortality in a representative sample of US adults. Data from 18,932 adults who attended the 2003-2014 National Health and Nutrition Examination Survey (NHANES) were analysed. Information on mortality was obtained from the US mortality registry updated to 2015. Multivariable logistic regression and Cox regression were used. Cross-sectionally, Se intake was positively associated with diabetes. Comparing extreme quartiles of Se intake, the odds ratio (OR) for diabetes was 1.44 (95% CI: 1.09–1.89). During a mean of 6.6 years follow-up, there were 1627 death (312 CVD, 386 cancer). High intake of Se was associated with a lower risk of all-cause mortality. When comparing the highest with the lowest quartiles of Se intake, the hazard ratios (HRs) for all-cause, CVD mortality, cancer mortality and other mortality were: 0.77 (95% CI 0.59-1.01), 0.62 (95% CI, 0.35-1.13), 1.42 (95% CI, 0.78-2.58) and 0.60 (95% CI,0.40-0.80), respectively. The inverse association between Se intake and all-cause mortality was only found among white participants. In conclusion, Se intake was positively associated with diabetes but inversely associated with all-cause mortality. There was no interaction between Se intake and diabetes in relation to all-cause mortality.

scholarly journals Creating a Metabolic Syndrome Research Resource using the National Health and Nutrition Examination Survey

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Willysha S Jenkins ◽  
Christian Richardson ◽  
Ariel Williams ◽  
Clarlynda R Williams-DeVane
Keyword(s):  
Metabolic Syndrome ◽  
National Health ◽  
Biomarker Discovery ◽  
Metabolic Diseases ◽  
Categorical Variables ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
The Metabolic Syndrome ◽  
Potential Biomarker ◽  
Increased Risk

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

scholarly journals 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 ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1467 ◽  
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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