scholarly journals Optimal Waist Circumference Cut-Off Point for Multiple Risk Factor Aggregation: Results from the Maracaibo City Metabolic Syndrome Prevalence Study

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Valmore Bermúdez ◽  
Joselyn Rojas ◽  
Juan Salazar ◽  
Roberto Añez ◽  
Mervin Chávez-Castillo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Waist Circumference ◽  
Roc Curves ◽  
Multiple Risk Factor ◽  
Logistic Regression Models ◽  
Risk Increase ◽  
Multiple Risk ◽  
Definition Of

Context and Objective. The purpose of this study was to determine optimal waist circumference (WC) cut-off values for the detection of multiple risk factor aggregation in individuals from Maracaibo, Venezuela. Participants and Methods. A total of 1,902 adult individuals of both genders belonging to MMSPS were included. Complete physical, laboratory, and anthropometric examination were done to evaluate Metabolic Syndrome (MS) components and insulin resistance. ROC curves were plotted for risk factor aggregation in order to assess WC cut-off point. Logistic regression models were constructed to assess risk factors associated with the WC. Results. There were 52.2% females and 47.8% males, with WC of 90.7±13.7 cm and 98.2±15.9 cm, respectively. ROC curves exhibited a WC cut-off point for women of 90.25 cm (68.4% sensitivity, 65.8% specificity) and 95.15 cm (71.1% sensitivity, 67.4% specificity) for men. HOMA2-IR and high blood pressure were associated with a WC over these cut-off points, as well as 2.5-fold risk increase for multiple risk factor aggregation (OR 2.56; CI 95%: 2.05–3.20; P<0.01). Conclusions. These population-specific WC cut-offs are readily applicable tools for detection of risk factor aggregation. Insulin resistance is closely associated with this definition of abdominal obesity, which may serve as a surrogate for its assessment.

scholarly journals Metabolic Syndrome: Risk factor distribution and 18-year mortality in the Multiple Risk Factor Intervention Trial

Diabetes Care ◽  
2005 ◽  
Vol 29 (1) ◽  
pp. 123-130 ◽  
Author(s):  
L. E. Eberly ◽  
R. Prineas ◽  
J. D. Cohen ◽  
G. Vazquez ◽  
X. Zhi ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Multiple Risk Factor ◽  
Intervention Trial ◽  
Metabolic Syndrome Risk Factor ◽  
Multiple Risk

scholarly journals Fatty Liver as a Potential Surrogate for Waist Circumference in the Diagnosis of Metabolic Syndrome: A Population-Based Study among Chinese Adults

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Boren Jiang ◽  
Ting Gu ◽  
Kun Zhou ◽  
Yanjun Zheng ◽  
Yuyu Guo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Metabolic Disorder ◽  
Surrogate Marker ◽  
Population Based ◽  
Model Assessment ◽  
Chinese Adults ◽  
Severe Insulin Resistance ◽  
Logistic Regression Models

Increased waist circumference (WC) is an essential component of metabolic syndrome (MetS). Asians have been found to have more intra-abdominal adipose tissue than Caucasians, in spite of having smaller WC. The purpose of this study was to explore whether NAFLD could be used as a surrogate for MetS diagnosis in the normal WC population. A total of 9694 Chinese residents were selected from SPECT-China, a population-based survey of Chinese adults aged ≥ 18 years in East China. Insulin resistance was calculated by the homeostatic model assessment for insulin resistance (HOMA-IR). MetS z-score was used to evaluate the degree of total metabolic disorder. Logistic regression models were used to obtain the associations between different categories and metabolic syndrome (MetS) components. The prevalence of NAFLD was 27.6%, in which 35.2% were without abnormal WC. Subjects with only NAFLD had similarly severe insulin resistance and OR for clustering of MetS components compared with those with only abnormal WC. A considerable number of NAFLD cases, although had severe metabolic disorder, would not be detected by the current MetS definition. NAFLD could be used as a potential surrogate marker for the diagnosis of MetS in normal WC population.

Obesity and Work-Related Injuries Among Farmers in Kentucky, Tennessee, and West Virginia

2021 ◽  
pp. 216507992110266
Author(s):  
Sharon Hunsucker ◽  
Deborah B. Reed
Keyword(s):  
Risk Factor ◽  
Waist Circumference ◽  
Occupational Health ◽  
West Virginia ◽  
Health Administration ◽  
Safety Risk ◽  
Farm Work ◽  
Work Related ◽  
Definition Of ◽  
Recurrent Injuries

Background Obesity is a recognized risk factor for work-related injuries (WRI). Despite the inherent safety hazards associated with farm work, research on obesity among farmers is limited giving little guidance to occupational health providers on obesity as a risk factor in farm WRI. This study evaluated the association between obesity and farm WRI. Methods Cross-sectional data were collected from farmers ( n = 100) in Kentucky, Tennessee, and West Virginia. Data included a survey (demographic data, farm factors, health indicators, occurrences of work-related injuries consistent with the definition of Occupational Safety and Health Administration [OSHA] recordable injuries) and direct anthropometric measures (height, weight, and waist circumference). Logistic regression was used to model any work-related injury, injuries consistent with the definition of OSHA recordables (herein called OSHA-recordable injuries), and recurrent injuries occurring during farm work performance on body mass index (BMI) and waist circumference. Findings Twenty-five percent of the participants reported any injuries, and 18% reported OSHA-recordable injuries. Farmers with a BMI ≥30 kg/m2 had 3 times the risk for OSHA-recordable injuries and 5 times the risk for recurrent injuries. No significant relationship was identified between waist circumference and farm WRI. Conclusion This study provides evidence that increased BMI is a safety risk for farmers. Prospective studies with a larger sample are needed. Occupational health nurses and providers should educate farmers on the potential safety risk of obesity and implement weight management programs addressing obesity in farmers.

scholarly journals The effects of metformin plus sulfonylurea therapy on clinical features of the metabolic syndrome

2010 ◽  
Vol 63 (9-10) ◽  
pp. 611-615 ◽  
Author(s):  
Branka Koprivica ◽  
Teodora Beljic-Zivkovic ◽  
Tatjana Ille
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Glycemic Control ◽  
Body Mass ◽  
Combined Therapy

Introduction. Insulin resistance is a well-known leading factor in the development of metabolic syndrome. The aim of this study was to evaluate metabolic effects of metformin added to sulfonylurea in unsuccessfully treated type 2 diabetic patients with metabolic syndrome. Material and methods. A group of thirty subjects, with type 2 diabetes, secondary sulfonylurea failure and metabolic syndrome were administered the combined therapy of sulfonylurea plus metformin for six months. Metformin 2000 mg/d was added to previously used sulfonylurea agent in maximum daily dose. Antihypertensive and hypolipemic therapy was not changed. The following parameters were assessed at the beginning and after six months of therapy: glycemic control, body mass index, waist circumference, blood pressure, triglycerides, total cholesterol and its fractions, homeostatic models for evaluation of insulin resistance and secretion (HOMA R, HOMA B) and C- peptide. Results. Glycemic control was significantly improved after six months of the combined therapy: (fasting 7.89 vs. 10.61 mmol/l. p<0.01; postprandial 11.12 vs. 12.61 mmol/l. p<0.01, p<0.01; glycosylated hemoglobin 6.81 vs. 8.83%. p<0.01). the body mass index and waist circumference were significantly lower (26.7 vs. 27.8 kg/m2, p<0.01 and 99.7 vs. 101.4 cm for men, p<0.01; 87.2 vs. 88.5 for women, p<0.01). Fasting plasma triglycerides decreased from 3.37 to 2.45 mmol/l (p<0.001) and HOMA R from 7.04 to 5.23 (p<0.001). No treatment effects were observed on blood pressure, cholesterol, and residual insulin secretion. Conclusion. Administration of metformin in type 2 diabetes with metabolic syndrome decreased cardiovascular risk factors by reducing glycemia, triglycerides, BMI, central obesity and insulin resistance.

Recruitment of participants for the Multiple Risk Factor Intervention Trial (MRFIT)

1987 ◽  
Vol 8 (4) ◽  
pp. 41-53 ◽  
Author(s):  
James D. Neaton ◽  
Richard H. Grimm ◽  
Jeffrey A. Cutler
Keyword(s):  
Risk Factor ◽  
Multiple Risk Factor ◽  
Intervention Trial ◽  
Multiple Risk

Quality control procedures for the resting electrocardiogram in the multiple risk factor intervention trial

1986 ◽  
Vol 7 (3) ◽  
pp. 46-65 ◽  
Author(s):  
Pentti M. Rautaharju ◽  
Steven K. Broste ◽  
Ronald J. Prineas ◽  
William J. Eifler ◽  
Richard S. Crow ◽  
...  
Keyword(s):  
Quality Control ◽  
Risk Factor ◽  
Multiple Risk Factor ◽  
Intervention Trial ◽  
Control Procedures ◽  
Multiple Risk
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