Cardiometabolic Risk Factors in Canadian Primary Care Patients with Abdominal Obesity and Diabetes

2014 ◽  
Vol 38 (5) ◽  
pp. S45
Author(s):  
David C.W. Lau ◽  
Lawrence A. Leiter ◽  
Jacques J.G. Genest ◽  
Stewart B. Harris ◽  
Peter Selby ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Obesity And Diabetes ◽  
Primary Care Patients

A Cross-Sectional Survey of Cardiometabolic Risk Factors in Canadian Primary Care Patients with Abdominal Obesity

2014 ◽  
Vol 38 (5) ◽  
pp. S45
Author(s):  
David C.W. Lau ◽  
Lawrence A. Leiter ◽  
Jacques J.G. Genest ◽  
Stewart B. Harris ◽  
Peter Selby ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Primary Care Patients

Abstract P148: Neck Circumference as an Independent Contributor to Cardio Metabolic Risk Factors - ELSA BRASIL

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Cristina P Baena ◽  
Paulo A Lotufo ◽  
Maria J Fonseca ◽  
Isabela J Benseñor
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Primary Care ◽  
Cardiometabolic Risk ◽  
Neck Circumference ◽  
Cardiometabolic Risk Factors ◽  
Metabolic Risk ◽  
Men And Women ◽  
Low Hdl

Background: Neck circumference is a proxy for upper body fat and it is a simple anthropometric measure. Therefore it could be a useful tool to identify individuals with cardiometabolic risk factors in the context of primary care. Hypothesis: Neck circumference is independently associated to cardiometabolic risk factors in an apparently healthy population. Methods: This is a cross-sectional analysis of baseline data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of 15105 civil servants aged 35-74 years. We excluded from this analysis those who fulfilled American Diabetes Association criteria for diabetes diagnosis, were taking antihypertensive and/or lipid-lowering drugs. A sex-specific analysis was conducted. Partial correlation (age-adjusted) was used. Risk factors were set as low HDL<50mg/dL for women and <40mg/dL for men, hypertriglyceridemia ≥ 150 mg/dl , hypertension as systolic blood pressure ≥130 mg/dl or diastolic blood pressure ≥85 mm Hg and insulin resistance(HOMA-IR ≥ 75th percentile). Logistic regression models were built to analyze the association between individual and clustered risk factors as dependent variables and 1-SD increase in neck circumference as independent variable. Multiple adjustments were subsequently performed for age, smoking, alcohol, body-mass index, waist and physical activity. Receiver Operating Curves were employed to find the best NC cut-off points for clustered risk factors. Results: We analyzed 3810 men (mean age= 49.0 ±8.3 yrs) and 4916 women (49.2 ±8.0 yrs). Mean NC was 38.9 (±2.6)cm for men and 33.4(±2.6)cm for women. NC positively correlated with systolic and diastolic blood pressure (r=0.21 and r=0.27), HOMA - IR (r=0.44), triglycerides (r=0.31) and negatively correlated with HDL (r= -0.21) in men (p<0.001 for all) with similar results in women. Fully adjusted Odds Ratio (OR) (95% CI) of risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.46) and 1.42(1.28;1.57) for insulin resistance; 1.24(1.11;1.39) and 1.25(1.11;1.40) for hypertension; 1.33(1.19;1.49) and 1.42(1.29;1.63) for hypertriglyceridemia; 1.07(0.92;1.23) and 1.32 (1.19;1.43) for low HDL. Fully adjusted OR (95% CI) of 2 clustered risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.48) and 1.37(1.21;1.54 ). Fully adjusted OR (95% CI) of 3 or more clustered risk factors per SD increase in neck circumference in men and women were 1.33 (1.02;1.74) and 1.62 (1.33;1.92). Values of neck circumference of >40 cm for men and >34.1 cm for women were the best cut-off points for 3 or more clustered risk factors. Conclusion: Neck circumference is significantly and independently associated to cardiometabolic risk factors in a well-defined non-treated population. It should be considered as a marker of cardio metabolic risk factors in primary care settings.

scholarly journals Adverse effects of fructose on cardiometabolic risk factors and hepatic lipid metabolism in subjects with abdominal obesity

2017 ◽  
Vol 282 (2) ◽  
pp. 187-201 ◽  
Author(s):  
M.-R. Taskinen ◽  
S. Söderlund ◽  
L. H. Bogl ◽  
A. Hakkarainen ◽  
N. Matikainen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lipid Metabolism ◽  
Adverse Effects ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Hepatic Lipid Metabolism ◽  
Hepatic Lipid

scholarly journals Relationship of TSH levels with cardiometabolic risk factors in US youth aged 12-18 years and population-based reference percentiles for thyroid function tests.

2020 ◽  
Author(s):  
Xinlei Chen ◽  
Shuliang Deng ◽  
Cecilia Sena ◽  
Chuhan Zhou ◽  
Vidhu V Thaker
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Normal Weight ◽  
The Body ◽  
Cardiometabolic Risk Factors ◽  
Thyroid Function Tests ◽  
Cross Sectional ◽  
Tsh Levels

Context: Thyroid hormones play an important role in the metabolic homeostasis of the body and have been associated with cardiometabolic risk. Objective: To examine the association of cardiometabolic risk factors (CMRF) with TSH levels in youth at population level in the US. Design & Setting: Cross-sectional study of youth aged 12-18 years without known thyroid abnormalities from National Health and Nutrition Examination Survey 1999-2012. Subclinical hypothyroidism (SH) was defined as TSH levels 4.5-10 mIU/L. Assessed CMRF included abdominal obesity (waist circumference > 90th percentile), hypertriglyceridemia (TG ≥ 130 mg/dL), low HDL cholesterol (HDL-C < 40 mg/dL), elevated blood pressure (SBP and DBP ≥ 90th percentile), hyperglycemia (FBG ≥ 100 mg/dL, or known diabetes), insulin resistance (HOMA-IR > 3.16) and elevated alanine transferase (ALT ≥ 50 U/L for boys and ≥ 44 U/L for girls). Age and sex- specific percentiles for thyroid parameters were calculated for youth with normal weight. Results: In this cohort of youth (51.3% male), 31.2% had overweight/obesity. The prevalence of SH was 2.0 % (95% CI 1.2-3.1). The median TSH levels were higher in youth with overweight/obesity (p<.001). Adjusting for age, sex, race/ethnicity and level of obesity, youth with TSH in the 4th quantile had higher odds of abdominal obesity (OR 2.53 [1.43-4.46], p = .002), higher HOMA-IR (OR 2.82 [1.42-5.57], p=.003) and ≥ 2 CMRF (OR 2.20 [1.23-3.95], p=.009). Conclusions: The prevalence of SH is low in US youth. The higher odds of insulin resistance and CMRF in youth with TSH levels > 75th percentile requires further study.

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