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Metabolic syndrome risk assessment -

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You may opt-out of email communications at any time by clicking on the unsubscribe link in the e-mail. Metabolic syndrome is closely linked to overweight or obesity and inactivity. The following factors increase your chances of having metabolic syndrome: Age.

Your risk of metabolic syndrome increases with age. In the United States, Hispanics — especially Hispanic women — appear to be at the greatest risk of developing metabolic syndrome. The reasons for this are not entirely clear.

Carrying too much weight, especially in your abdomen, increases your risk of metabolic syndrome. You're more likely to have metabolic syndrome if you had diabetes during pregnancy gestational diabetes or if you have a family history of type 2 diabetes.

Other diseases. Your risk of metabolic syndrome is higher if you've ever had nonalcoholic fatty liver disease, polycystic ovary syndrome or sleep apnea. Having metabolic syndrome can increase your risk of developing: Type 2 diabetes.

If you don't make lifestyle changes to control your excess weight, you may develop insulin resistance, which can cause your blood sugar levels to rise. Eventually, insulin resistance can lead to type 2 diabetes. Heart and blood vessel disease.

High cholesterol and high blood pressure can contribute to the buildup of plaques in your arteries. These plaques can narrow and harden your arteries, which can lead to a heart attack or stroke. A healthy lifestyle includes: Getting at least 30 minutes of physical activity most days Eating plenty of vegetables, fruits, lean protein and whole grains Limiting saturated fat and salt in your diet Maintaining a healthy weight Not smoking.

By Mayo Clinic Staff. May 06, Show References. Ferri FF. Metabolic syndrome. In: Ferri's Clinical Advisor Elsevier; Accessed March 1, Those with diabetes mellitus are considered a cardiovascular risk equivalent and warrant aggressive management of underlying risk factors to optimize prevention of CVD.

Initial evaluation of coronary heart disease risk involves global risk estimation using Framingham or other algorithms for risk prediction. Consideration of screening for novel risk factors such as C-reactive protein, as well as subclinical atherosclerosis from carotid ultrasound, computed tomography, or ankle-brachial index , can further refine the estimation of future CVD risk.

The presence of subclinical atherosclerosis or elevated levels of C-reactive protein can potentially modify recommended treatment goals for lipid and other cardiovascular risk factors. Derivation and validation of a prediction score for major coronary heart disease events in a U.

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Diabetes, other risk factors, and yr cardiovascular mortality for men screened in the Multiple Risk Factor Intervention Trial.

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