Obesity markers and blood pressure in a sample of Portuguese children and adolescents.

Little information exists regarding the effect of several obesity markers on blood pressure (BP) levels in youth. Transverse study including 2494 boys and 2589 girls. Height, weight and waist were measured according to the international criteria and body fat (BF) by bioimpedance. BP was measured by an automated device. Hypertension was defined using sex-specific, age-specific and height-specific observation-points. Body mass index (BMI) and waist were positively related with systolic blood pressure (SBP) and diastolic blood pressure (DBP) and heart rate in both sexes, whereas the relationships with BF were less consistent. Stepwise linear regression analysis showed that BMI was positively related with SBP and DBP in both sexes, whereas BF was negatively related with SBP in both sexes and with heart rate in boys only; finally, waist was positively related with SBP in boys and heart rate in girls. Age and heart rate-adjusted values of SBP and DBP increased with BMI: for SBP, 117+/-1, 123+/-1 and 124+/-1 mmHg in normal, overweight and obese boys, respectively; corresponding values for girls were 111+/-1, 114+/-1 and 116+/-2 mmHg (mean+/-SE, P<0.001). Overweight and obese boys had an odds ratio for being hypertensive of 2.26 (95% confidence interval: 1.79-2.86) and 3.36 (2.32-4.87), respectively; corresponding values for girls were 1.58 (confidence interval 1.25-1.99) and 2.31 (1.53-3.50). BMI, not BF or waist, is consistently and independently related to BP levels in children; overweight and obesity considerably increase the risk of hypertension.

Effects of four-week high-fructose diet on gene expression in skeletal muscle of healthy men.

AIMS: A high-fructose diet (HFrD) may play a role in the obesity and metabolic disorders epidemic. In rodents, HFrD leads to insulin resistance and ectopic lipid deposition. In healthy humans, a four-week HFrD alters lipid homoeostasis, but does not affect insulin sensitivity or intramyocellular lipids (IMCL). The aim of this study was to investigate whether fructose may induce early molecular changes in skeletal muscle prior to the development of whole-body insulin resistance. METHODS: Muscle biopsies were taken from five healthy men who had participated in a previous four-week HFrD study, during which insulin sensitivity (hyperinsulinaemic euglycaemic clamp), and intrahepatocellular lipids and IMCL were assessed before and after HFrD. The mRNA concentrations of 16 genes involved in lipid and carbohydrate metabolism were quantified before and after HFrD by real-time quantitative PCR. RESULTS: HFrD significantly (P<0.05) increased stearoyl-CoA desaturase-1 (SCD-1) (+50%). Glucose transporter-4 (GLUT-4) decreased by 27% and acetyl-CoA carboxylase-2 decreased by 48%. A trend toward decreased peroxisomal proliferator-activated receptor-gamma coactivator-1alpha (PGC-1alpha) was observed (-26%, P=0.06). All other genes showed no significant changes. CONCLUSION: HFrD led to alterations of SCD-1, GLUT-4 and PGC-1alpha, which may be early markers of insulin resistance.

Could moderate alcohol consumption help prevent the metabolic syndrome and diabetes mellitus ?

Aim and purpose: Moderate alcohol consumption has been associated with lower risk of diabetes mellitus, but few data exist on the metabolic syndrome and on the metabolic impact of heavy drinking. The aim of our study was to investigate the complex relationship between alcohol and the metabolic syndrome and diabetes mellitus in a population-based study in Switzerland with high mean alcohol consumption. Design and methods: In 6188 adults aged 35 to 75, alcohol consumption was categorized as 0, 1-6, 7-13, 14-20, 21-27, 28-34 and >= 35 drinks/week or as nondrinkers, moderate (1-13 drinks), high (14-34 drinks) and very high (>= 35 drinks) alcohol consumption. The metabolic syndrome was defined according to the ATP-III criteria and diabetes mellitus as fasting glycemia >= 7 mmol/l or self-reported medication.We used multivariate analysis adjusted for age, gender, smoking status, physical activity and education level to determine the prevalence of the conditions according to drinking categories. Results: 73% (n = 4502) of the participants consumed alcohol, 16% (n = 993) were high drinkers and 2% (n = 126) very high drinkers. In multivariate analysis, alcohol consumption had a U-shaped relationship with the metabolic syndrome and diabetes mellitus. The prevalence of the metabolic syndrome significantly differed between nondrinkers (24%), moderate (19%), high (20%) and very high drinkers (29%) (P<= 0.005). The prevalence of diabetes mellitus also significantly differed between nondrinkers (6.0%), moderate (3.6%), high (3.8%) and very high drinkers (6.7%) (P<= 0.05). These relationships did not differ according to beverage types. Conclusions: The prevalence of the metabolic syndrome and diabetes mellitus decrease with moderate alcohol consumption and increase with heavy drinking, without differences according to beverage types. Recommending to limit alcohol consumption to 1-2 drinks/day might help prevent these conditions in primary care Metabolic Syndrome and Diabetes Mellitus.

Trends in self-reported prevalence and management of hypertension, dyslipidaemia and diabetes in adults in Switzerland, 1992-2007

Purpose: to assess the trends of self-reported prevalence of cardiovascular risk factors (CV RFs: hypertension, dyslipidaemia, diabetes) and their management for period 1992 to 2007 in the Swiss population. Methods: four National health interview surveys conducted between 1992 and 2007 in representative samples of the Swiss population (63,782 subjects overall). Self-reported CV RFs prevalence, treatment and controllevels were computed after weighting. Weights were calculated by raking ratio such that the marginal distribution of the weighted totals conforms to the marginal distribution of the targeted population. Multivariate analysis adjusted on age, sex, education, nationality and SMI was conducted using logistic regression. Results: prevalence of ail CV RFs increased between 1992 and 2007, see table. Although the self-reported prevalence of treatment among subjects with CV RFs increased, and this was confirmed by multivariate analysis: OR for hypocholesterolaemic treatment relative to 1992: 0.64 [0.52-0.78]; 1.39 [1.18-1.65] and 2.00 [1.69-2.36] for 1997, 2002 and 2007, respectively. Still, in 2007, circa 40% of hypertensive, 60% of dyslipidaemic and 50% of diabetic subjects weren't treated. Conversely, an adequate control of CV RFs was reported by treated subjects, with an increase during the study period. This increase was confirmed by multivariate analysis (not shown). Conclusion: the self-reported prevalence of hypertension, dyslipidaemia and diabetes increased between 1992 and 2007 in the Swiss population. Despite a good control of treated subjects, still a significant percentage of subjects with CV RFs are not treated.

Reproducibility and within-day variability of body fat measurements using segmental bipolar bioelectrical impedance in women

BACKGROUND AND AIMS: little is known regarding the reproducibility of body fat measuring devices; hence, we assessed the between and within-device reproducibility, and the within-day variability of body fat measurements. METHODS: body fat percentage was measured twice on seventeen female students aged between 18 and 20 with a body mass index of 21.9 ± 2.5 kg/m2 (mean ± SD) using seven bipolar bioelectrical impedance devices. Each participant was also measured each hour between 7:00 and 22:00. RESULTS: the correlation between first and second measurements was very high (Spearman r between 0.985 and 1.000, p<0.001), as well as between devices (Spearman r between 0.916 and 0.991, p<0.001). Repeated measurements analysis showed no differences were between devices (p=0.59) or readings (first vs. second: p=0.74). Conversely, significant differences were found between assessment periods throughout the day, measurements made in the morning being lower than those made in the afternoon (F test for repeated values= 6.58, p<0.001). CONCLUSIONS: the between and within-device reproducibility for measuring body fat is high, enabling the use of multiple devices in a single study. Conversely, small but significant changes in body fat measurements occur during the day, urging body fat measurements to be performed at fixed times.

Variant within the promoter region of the CHRNA3 gene associated with FTN dependence is not related to self-reported willingness to quit smoking.

INTRODUCTION: Common variation in the CHRNA5-CHRNA3-CHRNB4 gene region is robustly associated with smoking quantity. Conversely, the association between one of the most significant single nucleotide polymorphisms (SNPs; rs1051730 within the CHRNA3 gene) with perceived difficulty or willingness to quit smoking among current smokers is unknown. METHODS: Cross-sectional study including current smokers, 502 women, and 552 men. Heaviness of smoking index (HSI), difficulty, attempting, and intention to quit smoking were assessed by questionnaire. RESULTS: The rs1051730 SNP was associated with increased HSI (age, gender, and education-adjusted mean ± SE: 2.6 ± 0.1, 2.2 ± 0.1, and 2.0 ± 0.1 for AA, AG, and GG genotypes, respectively, p < .01). Multivariate logistic regression adjusting for gender, age, education, leisure-time physical activity, and personal history of cardiovascular or lung disease showed rs1051730 to be associated with higher smoking dependence (odds ratio [OR] and 95% CI for each additional A-allele: 1.38 [1.11-1.72] for smoking more than 20 cigarette equivalents/day; 1.31 [1.00-1.71] for an HSI ≥5 and 1.32 [1.05-1.65] for smoking 5 min after waking up) and borderline associated with difficulty to quit (OR = 1.29 [0.98-1.70]), but this relationship was no longer significant after adjusting for nicotine dependence. Also, no relationship was found with willingness (OR = 1.03 [0.85-1.26]), attempt (OR = 1.00 [0.83-1.20]), or preparation (OR = 0.95 [0.38-2.38]) to quit. Similar findings were obtained for other SNPs, but their effect on nicotine dependence was no longer significant after adjusting for rs1051730. Conclusions: These data confirm the effect of rs1051730 on nicotine dependence but failed to find any relationship with difficulty, willingness, and motivation to quit.

Current genetic data do not improve the prediction of type 2 diabetes mellitus: the CoLaus study.

CONTEXT: Several genetic risk scores to identify asymptomatic subjects at high risk of developing type 2 diabetes mellitus (T2DM) have been proposed, but it is unclear whether they add extra information to risk scores based on clinical and biological data. OBJECTIVE: The objective of the study was to assess the extra clinical value of genetic risk scores in predicting the occurrence of T2DM. DESIGN: This was a prospective study, with a mean follow-up time of 5 yr. SETTING AND SUBJECTS: The study included 2824 nondiabetic participants (1548 women, 52 ± 10 yr). MAIN OUTCOME MEASURE: Six genetic risk scores for T2DM were tested. Four were derived from the literature and two were created combining all (n = 24) or shared (n = 9) single-nucleotide polymorphisms of the previous scores. A previously validated clinic + biological risk score for T2DM was used as reference. RESULTS: Two hundred seven participants (7.3%) developed T2DM during follow-up. On bivariate analysis, no differences were found for all but one genetic score between nondiabetic and diabetic participants. After adjusting for the validated clinic + biological risk score, none of the genetic scores improved discrimination, as assessed by changes in the area under the receiver-operating characteristic curve (range -0.4 to -0.1%), sensitivity (-2.9 to -1.0%), specificity (0.0-0.1%), and positive (-6.6 to +0.7%) and negative (-0.2 to 0.0%) predictive values. Similarly, no improvement in T2DM risk prediction was found: net reclassification index ranging from -5.3 to -1.6% and nonsignificant (P ≥ 0.49) integrated discrimination improvement. CONCLUSIONS: In this study, adding genetic information to a previously validated clinic + biological score does not seem to improve the prediction of T2DM.

CoLaus: diabète et dyslipidémie, il y a toujours du nouveau [CoLaus: diabetes and dyslipidemia, there is always something new!].

Cardiovascular diseases remain the first cause of mortality in our country. They are associated with well known risk factors such as diabetes and dyslipidemia. Herein we summarize main results of the CoLaus study regarding, first the prevalence and characteristics of the treatment of these risk factors. Then we present recent discoveries of new genetic determinants associated with these risk factors. Finally, we discuss whether this knowledge changes our current clinical management of our patients.

High expectation in non-evidence-based smoking cessation interventions among smokers--the CoLaus study.

To assess the preferred methods to quit smoking among current smokers. Cross-sectional, population-based study conducted in Lausanne between 2003 and 2006 including 988 current smokers. Preference was assessed by questionnaire. Evidence-based (EB) methods were nicotine replacement, bupropion, physician or group consultations; non-EB-based methods were acupuncture, hypnosis and autogenic training. EB methods were frequently (physician consultation: 48%, 95% confidence interval (45-51); nicotine replacement therapy: 35% (32-38)) or rarely (bupropion and group consultations: 13% (11-15)) preferred by the participants. Non-EB methods were preferred by a third (acupuncture: 33% (30-36)), a quarter (hypnosis: 26% (23-29)) or a seventh (autogenic training: 13% (11-15)) of responders. On multivariate analysis, women preferred both EB and non-EB methods more frequently than men (odds ratio and 95% confidence interval: 1.46 (1.10-1.93) and 2.26 (1.72-2.96) for any EB and non-EB method, respectively). Preference for non-EB methods was higher among highly educated participants, while no such relationship was found for EB methods. Many smokers are unaware of the full variety of methods to quit smoking. Better information regarding these methods is necessary.

Trends in overweight and obesity levels in Geneva: time for optimism?

Background/Introduction: ln Switzerland, most trends in overweight and obesity levels have been assessed using reported data, a methodology which is prone to reporting bias. ln this study, we aimed at assessing trends in overweight and obesity levels using objectively measured data. Methods: We used independent cross-sectional data collected between 2005 and 2011 by the Bus Santé study on representative samples of the Geneva population. Trends were assessed overall and according to different characteristics of the participants. Overweight and obesity were defined as a body mass index (BMI) between 25 and 29.9 kg/m2 and >=30 kg/m2, respectively. Results: Data from 4093 participants (2012 men) was assessed. Mean BMI was 25.2 ± 4.3 kg/m2 (mean ±standard deviation) in 2005 and 25.4 ± 4.3 in 2011 (p for trend using linear regression=0.98). For men, mean BMI was 26.3 ± 3.8 kg/m2 in 2005 and 26.1 ± 3.7 in 2011 (p for trend=0.37); for women, the corresponding values were 24.3 ± 4.6 and 24.7 ± 4.7 kg/m2 (p for trend=0.42). Overall prevalence of overweight and obesity was 32.2% and 13.3%, respectively, in 2005 and 33.6% and 13.7% in 2011 (p for trend using polytomous logistic regression adjusting for gender, age and smoking=0.49 and 0.94 for overweight and obesity, respectively). For men, prevalence of overweight and obesity was 45.9% and 12.2% in 2005 and 42.1 % and 14.6% in 2011 (P for trend=0.03 for overweight and 0.81 for obesity); for women, the corresponding values were 20.4% and 14.2% in 2005 and 25.4% and 12.9% in 2011 (p for trend=0.13 for overweight and 0.99 for obesity). Conclusion: Overweight and obesity levels appear to have levelled in Geneva, with a possible decrease in overweight levels in men. These favorable findings should be replicated in other geographical locations.

The prediction of cardiovascular events is improved by combination of Framingham risk score and subclinical atherosclerosis imaging

Purpose: In primary prevention of cardiovascular disease (CVD), it is accepted that the intensity of risk factor treatment should be guided by the magnitude of absolute risk. Risk factors tools like Framingham risk score (FHS) or noninvasive atherosclerosis imaging tests are available to detect high risk subjects. However, these methods are imperfect and may misclassify a large number of individuals. The purpose of this prospective study was to evaluate whether the prediction of future cardiovascular events (CVE) can be improved when subclinical imaging atherosclerosis (SCATS) is combined with the FRS in asymptomatic subjects. Methods: Overall, 1038 asymptomatic subjects (413 women, 625 men, mean age 49.1±12.8 years) were assessed for their cardiovascular risk using the FRS. B-mode ultrasonography on carotid and femoral arteries was performed by two investigators to detect atherosclerotic plaques (focal thickening of intima-media > 1.2 mm) and to measure carotid intima-media thickness (C-IMT). The severity of SCATS was expressed by an ATS-burden Score (ABS) reflecting the number of the arterial sites with >1 plaques (range 0-4). CVE were defined as fatal or non fatal acute coronary syndrome, stroke, or angioplasty for peripheral artery disease. Results: during a mean follow-up of 4.9±3.1 years, 61 CVE were recorded. Event rates the rate of CVE increased significantly from 2.7% to 39.1% according to the ABS (p<0.001) and from 4% to 24.6% according to the quartiles of C-IMT. Similarly, FRS predicted CVE (p<0.001). When computing the angiographic markers of SCATS in addition of FRS, we observed an improvement of net reclassification rate of 16.6% (p< 0.04) for ABS as compared to 5.5% (p = 0.26) for C-IMT. Conclusion: these results indicate that the detection of subjects requiring more attention to prevent CVE can be significantly improved when using both FRS and SCATS imaging.

Serum uric acid and adiposity: deciphering causality using a bidirectional Mendelian randomization approach.

Although the relationship between serum uric acid (SUA) and adiposity is well established, the direction of the causality is still unclear in the presence of conflicting evidences. We used a bidirectional Mendelian randomization approach to explore the nature and direction of causality between SUA and adiposity in a population-based study of Caucasians aged 35 to 75 years. We used, as instrumental variables, rs6855911 within the SUA gene SLC2A9 in one direction, and combinations of SNPs within the adiposity genes FTO, MC4R and TMEM18 in the other direction. Adiposity markers included weight, body mass index, waist circumference and fat mass. We applied a two-stage least squares regression: a regression of SUA/adiposity markers on our instruments in the first stage and a regression of the response of interest on the fitted values from the first stage regression in the second stage. SUA explained by the SLC2A9 instrument was not associated to fat mass (regression coefficient [95% confidence interval]: 0.05 [-0.10, 0.19] for fat mass) contrasting with the ordinary least square estimate (0.37 [0.34, 0.40]). By contrast, fat mass explained by genetic variants of the FTO, MC4R and TMEM18 genes was positively and significantly associated to SUA (0.31 [0.01, 0.62]), similar to the ordinary least square estimate (0.27 [0.25, 0.29]). Results were similar for the other adiposity markers. Using a bidirectional Mendelian randomization approach in adult Caucasians, our findings suggest that elevated SUA is a consequence rather than a cause of adiposity.