A Larger Body Mass Index is Associated with Increased Atherogenic Dyslipidemia, Insulin Resistance, and Low-Grade Inflammation in Individuals with Metabolic Syndrome

BACKGROUND

The consequences of increased body mass index (BMI) on the metabolic disorders associated with metabolic syndrome (MetS) have not been thoroughly examined.

METHODS

We analyzed data from 262 individuals, 97 men and 165 women (aged 18-70 years), classified with MetS to investigate whether variations in BMI could be associated with parameters of dyslipidemia, insulin resistance, or low-grade inflammation. We hypothesized that increases in BMI would positively correlate with the major dysregulations in metabolism that define MetS. For this purpose, individuals were separated into four subgroups based on their BMI: normal weight (<25 kg/m(2)), overweight (≥25 to <30 kg/m(2)), obese (≥30 to <40 kg/m(2)), and morbidly obese (≥40 kg/m(2)).

RESULTS

As expected, body weight and waist circumference increased significantly as BMI increased (P < 0.0001). Both systolic and diastolic blood pressure were lower in the normal BMI group compared with the other three BMI groups (P = 0.001). Markers of HDL metabolism were adversely impacted in elevated BMI groups, as both high-density lipoprotein cholesterol (HDL-C) and large HDL decreased as BMI increased (P = 0.01). BMI was negatively correlated with HDL-C (r = -0.193, P = 0.002), HDL size (r = (-)0.227, P = 0.002), and large HDL (r = -0.147, P = 0.037). In addition, plasma insulin was highest in subjects classified as morbidly obese (P < 0.0001). There was also a strong positive correlation between BMI and plasma insulin (r = 0.413, P < 0.0001), whereas adiponectin, a marker of insulin sensitivity, was negatively correlated with BMI (r = -0.288, P = 0.001). Finally, BMI was positively correlated with proinflammatory C-reactive protein (r = 0.312, P = 0.0001) and interleukin-6 (r = 0.238, P = 0.001).

CONCLUSIONS

The data from this study suggest that the physiological factors associated with increased BMI exacerbate the metabolic abnormalities characteristic of MetS.

[Randomised controlled trial: the role of diet and exercise in women with metabolic syndrome]

OBJECTIVE

To evaluate a program of nutritional recommendations and exercise in women with metabolic syndrome.

DESIGN

Multicentre randomised controlled trial.

LOCATION

Primary Health Care, Holguin, Cuba.

PARTICIPANTS

A cluster sample of 150 obese women with metabolic syndrome without glucose disturbances, were randomly assigned to a control (n=70) or experimental (n=80) group. A total of 62 women in the control group and 60 in the intervention group completed the study (June 2008-July 2009).

INTERVENTIONS

Low calorie diets and a program of exercises in the experimental group. Usual care in the control group.

MEASUREMENTS

Body weight, body mass index, waist circumference, blood pressure, blood glucose and lipid profile.

RESULTS

Compared to the control group, after one year, the experimental group had a lower, diastolic blood pressure (78±0.9 vs 91±1.1mm Hg), total cholesterol (4.7±0.1 vs 6.0 ±0.1mmol/L), triglycerides (1.9±0.0 vs 2.9±0.1mmol/L) and LDL cholesterol (2.5±0.0 vs 3.5±0.1mmol/L), and a higher HDL-cholesterol (1.2±0.0 vs 1.1±0.0mmol/L). There were no appreciable changes in weight, body mass index, waist circumference, systolic blood pressure and blood glucose.

CONCLUSIONS

We demonstrated the effectiveness of the intervention program on blood pressure and blood lipid profile.

Extreme concentrations of high density lipoprotein cholesterol affect the calculation of low density lipoprotein cholesterol in the Friedewald formula and other proposed formulas

OBJECTIVES

To investigate the effect of extreme levels of high density lipoprotein cholesterol (HDL-C) in the calculation of low density lipoprotein cholesterol (LDL-C) using Friedewald's formula (FF) and other formulas proposed recently.

DESIGN AND METHODS

Lipoprotein profile was performed in 2603 samples with HDL-C ≤ 20 mg/dL and 1953 samples with HDL-C ≥ 100 mg/dL.

RESULTS

Wilcoxon's and Student's t-tests showed significant differences (p<0.001) between calculated LDL-C by different formulas and direct determination in the two groups of HDL-C values. Passing-Bablok regression and Bland-Altman plot showed disagreement for the four formulas studied, except for Vujovic formula in the HLD-C ≥ 100 mg/dL group.

CONCLUSIONS

Our results suggested that none of the formulas under analysis should be used for estimating LDL-C in samples with extreme HDL-C concentrations due to absence of statistical correlation with LDL-C direct measurement.

Upright water-based exercise to improve cardiovascular and metabolic health: a qualitative review

Research regarding the benefits of exercise for cardiovascular and metabolic health is extensive and well-documented. However, weight-bearing exercise may not be suitable for individuals with orthopaedic or musculoskeletal limitations, excess adiposity or other medical conditions. Water-based exercise may provide an attractive alternative to land-based exercise for achieving improved health and fitness in these populations. Although swimming is a popular form of water-based exercise it requires specific skills and is often undertaken at intensities that may not be safely prescribed in patient populations. Therefore upright, water-based exercise has been suggested as a viable water-based alternative. However, surprisingly little is known about the effects of upright water-based exercise on improvements in cardiovascular and metabolic health. Limited evidence from water-based studies indicate that regular deep or shallow water exercise can exert beneficial effects on cardiorespiratory fitness, strength, and body fat distribution. However, the impacts of water-based exercise on lipid profile, bodyweight, and carbohydrate metabolism are still unclear. Further studies are warranted to establish the effects of non-swimming, water-based exercise on cardiometabolic risks in humans.

Impact of change in high-density lipoprotein cholesterol from baseline on risk for major cardiovascular events

INTRODUCTION

Low concentration of high-density lipoprotein cholesterol (HDL-C) has increasingly been recognized as a strong and independent predictor of cardiovascular risk. The aim of this study was to determine the association between change in HDL-C concentration from baseline and risk of a major cardiovascular event in a commercially insured population cohort with suboptimal HDL-C and low-density lipoprotein cholesterol (LDL-C) concentrations at baseline.

METHODS

A retrospective longitudinal survival analysis was conducted using claims data from a large, commercial US health plan. To be included, patients had to be > or =50 years of age on the index date (laboratory test date between January 1, 2000 and December 31, 2003 on which both their LDL-C and HDL-C were not at goal), be continuously enrolled for a minimum of 6 months prior to and 12 months after the index date, and had to have at least one other laboratory panel result within 1 year prior to the cardiovascular event or study disenrollment. Cox proportional hazards analysis was conducted to assess the association between change in HDL-C concentrations and risk of a major cardiovascular event (defined as a > or =1-day hospitalization for a cardiovascular disease [CVD] diagnosis or an invasive cardiovascular procedure) within 5 years of the index date, after adjusting for covariates.

RESULTS

A 0.026 mmol/L (1 mg/dL) increase in HDL-C from baseline was associated with a statistically significant 1.9% decreased risk of a major cardiovascular event (P<0.0001; hazard ratio: 0.981; 95% CI: 0.974, 0.989), after adjustment for covariates.

CONCLUSION

Our finding of an inverse association between change in HDL-C concentrations and risk of a major cardiovascular event confirms previously reported results. Increasing HDL-C concentrations may serve as an effective measure for preventing future cardiovascular events.

Impact of different metabolic syndrome classifications on the metabolic syndrome prevalence in a young Middle Eastern population

The metabolic syndrome (MetS) prevalence in a young Middle Eastern population has never been studied. We studied this prevalence in a randomly selected population of Lebanese students using different MetS classifications. Three hundred eighty-one subjects aged 18 to 30 years were included in the study. Anthropometric and biological parameters (waist circumference [WC], systolic and diastolic blood pressures, fasting plasma glucose, triglycerides, total cholesterol, high-density lipoprotein cholesterol, and homeostasis model assessment [HOMA] index to assess insulin resistance) were measured. Receiver operating characteristic (ROC) curves were generated to determine population-specific cutoff values for MetS parameters and HOMA index. The MetS prevalence was calculated using the National Cholesterol Education Program's Adult Treatment Panel III (ATP-III), the actualized ATP-III, and our cutoffs, either with or without HOMA index as an extra risk factor. The MetS prevalence using the ATP-III and the actualized ATP-III was, respectively, 5.25% and 5.28%. It increased to 9.19% when using our cutoff values and to 12.64% when HOMA index was added. This increase was significant only in men. The identified cutoff values are, for WC, 91 cm in women and 99.5 cm in men and, for HOMA index, 2.32. Among the MetS components, WC was the best MetS predictor, whereas fasting plasma glucose was the poorest. Our study shows that the MetS prevalence in Lebanon is comparable with other countries. In addition, we identified in our population new cutoff points for MetS parameters and HOMA index that allow the detection of a higher number of subjects with the MetS, mainly in the male population.