Metabolic syndrome (MS) in elderly: A cross sectional survey

2011 ◽  
Vol 53 (3) ◽  
pp. e263-e266 ◽  
Author(s):  
Gamze Akbulut ◽  
Eda Köksal ◽  
Saniye Bilici ◽  
Nilüfer Acar Tek ◽  
Hilal Yildiran ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cross Sectional Survey ◽  
Cross Sectional

scholarly journals Metabolic Syndrome and Colorectal Cancer: A Cross-Sectional Survey

2012 ◽  
Vol 13 (10) ◽  
pp. 4999-5002 ◽  
Author(s):  
Mojgan Forootan ◽  
Morteza Tabatabaeefar ◽  
Mansooreh Yahyaei ◽  
Nakisa Maghsoodi
Keyword(s):  
Colorectal Cancer ◽  
Metabolic Syndrome ◽  
Cross Sectional Survey ◽  
Cross Sectional

scholarly journals Identification of Metabolic Syndrome Based on Anthropometric, Blood and Spirometric Risk Factors Using Machine Learning

2020 ◽  
Vol 10 (21) ◽  
pp. 7741
Author(s):  
Sang Yeob Kim ◽  
Gyeong Hee Nam ◽  
Byeong Mun Heo
Keyword(s):  
Machine Learning ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Prediction Model ◽  
Prediction Models ◽  
Strong Association ◽  
Forced Expiratory Volume ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional

Metabolic syndrome (MS) is an aggregation of coexisting conditions that can indicate an individual’s high risk of major diseases, including cardiovascular disease, stroke, cancer, and type 2 diabetes. We conducted a cross-sectional survey to evaluate potential risk factor indicators by identifying relationships between MS and anthropometric and spirometric factors along with blood parameters among Korean adults. A total of 13,978 subjects were enrolled from the Korea National Health and Nutrition Examination Survey. Statistical analysis was performed using a complex sampling design to represent the entire Korean population. We conducted binary logistic regression analysis to evaluate and compare potential associations of all included factors. We constructed prediction models based on Naïve Bayes and logistic regression algorithms. The performance evaluation of the prediction model improved the accuracy with area under the curve (AUC) and calibration curve. Among all factors, triglyceride exhibited a strong association with MS in both men (odds ratio (OR) = 2.711, 95% confidence interval (CI) [2.328–3.158]) and women (OR = 3.515 [3.042–4.062]). Regarding anthropometric factors, the waist-to-height ratio demonstrated a strong association in men (OR = 1.511 [1.311–1.742]), whereas waist circumference was the strongest indicator in women (OR = 2.847 [2.447–3.313]). Forced expiratory volume in 6s and forced expiratory flow 25–75% strongly associated with MS in both men (OR = 0.822 [0.749–0.903]) and women (OR = 1.150 [1.060–1.246]). Wrapper-based logistic regression prediction model showed the highest predictive power in both men and women (AUC = 0.868 and 0.932, respectively). Our findings revealed that several factors were associated with MS and suggested the potential of employing machine learning models to support the diagnosis of MS.

scholarly journals The Association of Hypovitaminosis D with the Metabolic Syndrome Is Independent of the Degree of Obesity

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Inka Miñambres ◽  
Joan Sánchez-Hernández ◽  
Jose Luis Sánchez-Quesada ◽  
Jose Rodríguez ◽  
Alberto de Leiva ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Vitamin D ◽  
Hypovitaminosis D ◽  
Cross Sectional Survey ◽  
Chi Square ◽  
Cross Sectional ◽  
Hydroxyvitamin D ◽  
The Metabolic Syndrome ◽  
Chi Square Test ◽  
The Mean

Background. It remains uncertain whether the metabolic syndrome (MS) or insulin resistance contribute to the association between vitamin D deficiency and obesity. Methods. We conducted a cross-sectional survey of 343 subjects who were overweight or obese. We analyzed anthropometric data and the presence or absence of MS. Additionally, we determined 25-hydroxyvitamin D (25OHD) and insulin concentrations, and the HOMA index was calculated. Chi-square test,Mann-Whitney U test, Student's t-tests,and logistic regression analysis were used. Results. The mean age of the patients was 42±11 years, and 65.9% were women. The mean BMI was 34.7±8.3 kg/m2 and 25(OH)D levels were 53.7±29.8 nmol/L. Forty-six patients (13.4%) had MS. Vitamin D status was associated with the degree of obesity, especially with a BMI > 40 kg/m2. Patients with MS had lower levels of 25(OH)D than patients without (43.3±29.0 versus 55.3±29.6 mmol/L, resp.), and the odds ratio for hypovitaminosis D was 2.7 (confidence interval (CI), 1.14–6.4) (P=.023) for patients with MS versus patients without MS, irrespective of the degree of obesity. Conclusions. Our data confirm the association between vitamin D and MS and suggest that this association is independent of the degree of obesity.

scholarly journals Prevalence of the Metabolic Syndrome in Central and South American Immigrant Residents of the Washington, DC, Area

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Regina M. Gill ◽  
Saira A. Khan ◽  
Robert T. Jackson ◽  
Marguerite Duane
Keyword(s):  
Metabolic Syndrome ◽  
Low Income ◽  
Mexican Americans ◽  
Hdl Cholesterol ◽  
Epidemiological Data ◽  
Washington Dc ◽  
South American ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Metabolic Syndrome

The objective of this study was to estimate the prevalence of Metabolic Syndrome (MetS) and its risk components and then compare differences in the risk components among low-income, uninsured Central and South American recent immigrants to the USA. This cross-sectional survey sampled 1,042 adult patients from a medical clinic in metropolitan Washington, DC. The overall prevalence of the MetS was 26.9% estimated using the modified harmonized definition. The most common abnormal metabolic indicator for women was an elevated BMI ≥ 30 kg/m2(36.1%), while, for men, it was an elevated triglyceride level (46.5%). The risk of abnormal MetS indicators increased steadily with increasing BMI. The abnormal indicator combination identifying the most subjects with the MetS included the following: high triglycerides, low HDL cholesterol, and obesity. MetS rates were highest among subjects from El Salvador and Honduras, 31.3% and 28.0%, respectively, and lowest among subjects from Bolivia (21.7%). Dyslipidemia and high BMI increased the likelihood of having the MetS, which is consistent with studies on Mexican Americans in the San Antonio Heart Study and studies within Central and South American countries. This study adds new baseline epidemiological data for largely understudied, low-income, and mostly recent immigrant groups.

scholarly journals The association of sleep duration and metabolic syndrome in the Bandare-Kong cohort study, a cross-sectional survey (finding from PERSIAN cohort study)

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Shideh Rafati ◽  
Maryam Isheh ◽  
Abnoos Azarbad ◽  
Farhad Ghadiri Soufi ◽  
Arash Rahimi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Study ◽  
Sleep Duration ◽  
Severity Score ◽  
Additive Models ◽  
Cross Sectional Survey ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Relationship

Abstract Background A variety of health problems, such as metabolic syndrome (MetS), have been linked to sleep disorders. While numerous epidemiological studies have shown a U-shaped relationship between sleep duration and poor health outcomes, the results were limited and inconsistent. This study was designed to evaluate the relationship between sleep duration and MetS. Methods This population-based study was conducted on the participants aged 35–70 of Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of Prospective Epidemiological Research Studies in IrAN (PERSIAN). MetS was diagnosed according to the National Cholesterol Education Program (NCEP) criteria and the Iranian-specific cut-off for waist circumference (≥ 95 cm). Sleep information was extracted through a standard questionnaire based on self-reported information. Data were analyzed by R software using generalized additive models (GAMs). A statistically significant level was considered as P < 0.05. Results A total of 3695 participants were included in the analyses. The mean age was 48.05 years (SD 9.36), and 2067 (55.9%) were female. The estimated Prevalence of MetS was 35.9%, and women appeared to be more likely to have MetS than men (P < 0.001). There was a non-linear and linear association between sleep duration and the risk of MetS in women and men, respectively. The lowest risk was observed among those with 7–7.5 h of sleep duration per night. Conclusion Long sleep duration was associated with increased risk of MetS and higher MetS severity score in both genders, while the short sleep duration increased the risk of Mets as well as MetS severity score just in women. The longitudinal studies would be suggested to assess the relationship between sleep quality and quantity components and MetS.

scholarly journals Associations of resistin with inflammatory and fibrinolytic markers, insulin resistance, and metabolic syndrome in middle-aged and older Chinese

2008 ◽  
Vol 159 (5) ◽  
pp. 585-593 ◽  
Author(s):  
Qibin Qi ◽  
Jing Wang ◽  
Huaixing Li ◽  
Zhijie Yu ◽  
Xingwang Ye ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Plasminogen Activator Inhibitor ◽  
Population Based ◽  
Model Assessment ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factor Α

ObjectiveResistin increases insulin resistance (IR) in mice. However, the role of resistin in human disease remains controversial. We aimed to assess plasma resistin levels and their associations with inflammatory and fibrinolytic markers, IR and metabolic syndrome (MetS) among Chinese.Design and methodsPlasma resistin was measured in a population-based cross-sectional survey of 3193 Chinese aged from 50 to 70 years in Beijing and Shanghai.ResultsThe median resistin concentration was 8.60 ng/ml (interquartile range, 5.78–14.00) among all participants, and it was higher in women than in men (P=0.008). Resistin was correlated weakly with body mass index, waist circumference, high-density lipoprotein (HDL) cholesterol (negatively), homeostatic model assessment of IR and tumor necrosis factor-α receptor 2 (TNFR2; r=0.04, 0.07, –0.09 and 0.06 respectively, all P<0.05), and more highly with C-reactive protein (CRP), interleukin (IL)6 and plasminogen activator inhibitor (PAI)1 (r=0.12, 0.12 and 0.21 respectively, all P<0.001), but only HDL cholesterol, CRP, IL6, TNFR2, and PAI1 remained significantly associated with resistin in multiple regression analysis (all P<0.05). Furthermore, elevated resistin levels were associated with the higher prevalence of IR and MetS. However, the significant relationships disappeared after adjustment for inflammatory and fibrinolytic markers especially PAI1.ConclusionsThis study suggests that resistin is more strongly associated with inflammatory and fibrinolytic markers than with obesity or IR status. The associations of resistin with IR and MetS could largely be explained by inflammatory and fibrinolytic markers especially PAI1 levels.

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