Many studies have shown that hyperinsulinemia and/or insulin resistance are related to various metabolic and physiological disorders including hypertension, dyslipidemia, and non-insulin-dependent diabetes mellitus. This syndrome has been termed Syndrome X. An important limitation of previous studies has been that they all have been cross sectional, and thus the presence of insulin resistance could be a consequence of the underlying metabolic disorders rather than its cause. We examined the relationship of fasting insulin concentration (as an indicator of insulin resistance) to the incidence of multiple metabolic abnormalities in the 8-yr follow-up of the cohort enrolled in the San Antonio Heart Study, a population-based study of diabetes and cardiovascular disease in Mexican Americans and non-Hispanic whites. In univariate analyses, fasting insulin was related to the incidence of the following conditions: hypertension, decreased high-density lipoprotein cholesterol concentration, increased triglyceride concentration, and non-insulin-dependent diabetes mellitus. Hyperinsulinemia was not related to increased low-density lipoprotein or total cholesterol concentration. In multivariate analyses, after adjustment for obesity and body fat distribution, fasting insulin continued to be significantly related to the incidence of decreased high-density lipoprotein cholesterol and increased triglyceride concentrations and to the incidence of non-insulin-dependent diabetes mellitus. Baseline insulin concentrations were higher in subjects who subsequently developed multiple metabolic disorders. These results were not attributable to differences in baseline obesity and were similar in Mexican Americans and non-Hispanic whites. These results support the existence of a metabolic syndrome and the relationship of that syndrome to multiple metabolic disorders by showing that elevations of insulin concentration precede the development of numerous metabolic disorders.

Prospective Analysis of the Insulin-Resistance Syndrome (Syndrome X)

Objective This review evaluates the effectiveness of quality improvement (QI) strategies in reducing disparities in health and health care. Data sources We identified papers published in English between 1983 and 2011 from the MEDLINE® database, the Cumulative Index of Nursing and Allied Health Literature (CINAHL), Web of Science Social Science Index, and PsycINFO. Review methods All abstracts and full-text articles were dually reviewed. Studies were eligible if they reported data on effectiveness of QI interventions on processes or health outcomes in the United States such that the impact on a health disparity could be measured. The review focused on the following clinical conditions: breast cancer, colorectal cancer, diabetes, heart failure, hypertension, coronary artery disease, asthma, major depressive disorder, cystic fibrosis, pneumonia, pregnancy, and end-stage renal disease. It assessed health disparities associated with race or ethnicity, socioeconomic status, insurance status, sexual orientation, health literacy/numeracy, and language barrier. We evaluated the risk of bias of individual studies and the overall strength of the body of evidence based on risk of bias, consistency, directness, and precision. Results Nineteen papers, representing 14 primary research studies, met criteria for inclusion. All but one of the studies incorporated multiple components into their QI approach. Patient education was part of most interventions (12 of 14), although the specific approach differed substantially across the studies. Ten of the studies incorporated self-management; this would include, for example, teaching individuals with diabetes to check their blood sugar regularly. Most (8 of 14) included some sort of provider education, which may have focused on the clinical issue or on raising awareness about disparities affecting the target population. Studies evaluated the effect of these strategies on disparities in the prevention or treatment of breast or colorectal cancer, cardiovascular disease, depression, or diabetes. Overall, QI interventions were not shown to reduce disparities. Most studies have focused on racial or ethnic disparities, with some targeted interventions demonstrating greater effect in racial minorities--specifically, supporting individuals in tracking their blood pressure at home to reduce blood pressure and collaborative care to improve depression care. In one study, the effect of a language-concordant breast cancer screening intervention was helpful in promoting mammography in Spanish-speaking women. For some depression care outcomes, the collaborative care model was more effective in less-educated individuals than in those with more education and in women than in men. Conclusions The literature on QI interventions generally and their ability to improve health and health care is large. Whether those interventions are effective at reducing disparities remains unclear. This report should not be construed to assess the general effectiveness of QI in the health care setting; rather, QI has not been shown specifically to reduce known disparities in health care or health outcomes. In a few instances, some increased effect is seen in disadvantaged populations; these studies should be replicated and the interventions studied further as having potential to address disparities.

Closing the quality gap: revisiting the state of the science (vol. 3: quality improvement interventions to address health disparities).

Background
Metabolic syndrome increases cardiovascular risk. Limited information on its prevalence in Latin America is available. The Cardiovascular Risk Factor Multiple Evaluation in Latin America (CARMELA) study included assessment of metabolic syndrome in 7 urban Latin American populations.

/pdf/prevalence-of-the-metabolic-syndrome-in-latin-america-and-3rtri2ncl6.pdf

Prevalence of the Metabolic Syndrome in Latin America and its association with sub-clinical carotid atherosclerosis: the CARMELA cross sectional study

Impaired quality of life among middle aged women: a multicentre Latin American study.

Epidemiology of risk factors and symptoms associated with menopause in Spanish women

Background Metabolic syndrome (METS) is a strong predictor of cardiovascular risk. Since the prevalence of METS increases after menopause, gynecological routine consultation offers an excellent screening opportunity.Objectives To assess the prevalence of METS in Latin American postmenopausal women and factors modifying its risk; as well as to assess the role of simple routine care measurements in the diagnosis of the METS.Methods A total of 3965 postmenopausal women, aged 45–64 years, seeking health care at 12 gynecological centers in major Latin American cities were included in this cross-sectional study. The US National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) guidelines were applied to assess METS. This was present if three or more of the following conditions were present: waist circumference ≥ 88 cm; blood pressure ≥ 130/85 mmHg; fasting plasma triglycerides ≥ 150 mg/dl; high density lipoprotein (HDL) cholesterol < 50 mg/dl; glucose ≥ 110 mg/dl or subjects were receivin...

The US National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III): prevalence of the metabolic syndrome in postmenopausal Latin American women

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The US National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III): prevalence of the metabolic syndrome in postmenopausal Latin American women