We examined trends in the MI incidence and age at MI diagnosis among adults living with HIV-1 between 2000 and 2009, by comparison with the French MI registries, by gender. Age standardized incidence rates and standardized incidence-ratios (SIRs) were estimated for individuals included in the French hospital database on HIV (n = 71 204, MI = 663) during three periods: 2000-2002, 2003-2005 and 2006-2009. Median ages at MI diagnosis were compared using the Brown-Mood test. Over the study periods, the absolute rate difference and relative risks were higher in women than in men in 2000-2002 and 2006-2009, with respective SIRs 1.99 (1.39-2.75) and 1.12 (0.99-1.27) in 2006-2009. The trends were different for men and women with a decreasing trend in SIRs in men and no change in women. In both sexes, among individuals with CD4 ≥500/μL and controlled viral-load on cART, the risk was no longer elevated. Age at MI diagnosis was significantly younger than in the general population, especially among women (-6.2 years, p<0.001; men: -2.1 years, p = 0.02). In HIV-1-positive adults, absolute rate difference and relative risks and trends of MI were different between men and women and there was no additional risk among individuals on effective cART.

BACKGROUND: Blood polyunsaturated fatty acid (PUFA) levels are determined by diet and by endogenous synthesis via Delta 5- and Delta 6-desaturases (encoded by the FADS] and FADS2 genes, respectively). Genome-wide association studies have reported associations between FADS)-FADS2 polymorphisms and the plasma concentrations of PUFAs, HDL- and LDL-cholesterol, and triglycerides. However, much remains unknown regarding the molecular mechanisms explaining how variants affect the function of FADS1-FADS2 genes. OBJECTIVE: Here, we sought to identify the functional variant(s) within the FADS gene cluster. METHODS: To address this question, we (1) genotyped individuals (n = 540) for the rs174547 polymorphism to confirm associations with PUFA levels used as surrogate estimates of desaturase activities and (2) examined the functionality of variants in linkage disequilibrium with rs174547 using bioinformatics and luciferase reporter assays. RESULTS: The rs174547 minor allele was associated with higher erythrocyte levels of dihomo-gamma-linolenic acid and lower levels of arachidonic acid, suggesting a lower Delta 5-desaturase activity. In silico analyses suggested that rs174545 and rs174546, in perfect linkage disequilibrium with rs174547, might alter miRNA binding sites in the FADS1 3'UTR. In HuH7 and HepG2 cells transfected with FADS1 3'UTR luciferase vectors, the haplotype constructs bearing the rs174546T minor allele showed 30% less luciferase activity. This relative decrease reached 60% in the presence of miR-149-5p and was partly abolished by cotransfection with an miR-149-5p inhibitor. CONCLUSION: This study identifies FADS1 rs174546 as a functional variant that may explain the associations between FADS1-FADS2 polymorphisms and lipid-related phenotypes. (C) 2018 National Lipid Association. All rights reserved.

Background & aims: Blood levels of polyunsaturated fatty acids (PUFAs) are under control of endogenous synthesis via Delta 5- and Delta 6-desaturases, encoded by the FADS1 and FADS2 genes, respectively and of diet. Genome-wide associations studies (GWAS) reported associations between polymorphisms in FADS1-FADS2 and variations in plasma concentrations of PUFAs, HDL- and LDL-cholesterol and triglycerides. However, it is not established whether dietary PUFAs intake modulates these associations. We assessed whether dietary linoleic acid (LA) or alpha-linolenic acid (ALA) modulate the association between the FADS1 rs174547 polymorphism (a GWAS hit) and lipid and anthropometric phenotypes. Methods: Dietary intakes of LA and ALA, FADS1 rs174547 genotypes, lipid and anthropometric variables were determined in three French population-based samples (n = 3069). These samples were stratified according to the median dietary LA (<9.5 and >= 9.5 g/d) and ALA (<0.80 and >= 0.80 g/d) intakes. The meta-analysis was performed using a random-effect. Results: Our meta-analysis confirmed the association between rs174547 and plasma lipid levels and revealed an association with waist circumference and body mass index. These associations were not modified by dietary ALA intake (all p-interaction > 0.05). In contrast, the associations with HDL-cholesterol levels, waist circumference and BMI were modulated by the dietary intake of LA (p interaction < 0.05). In high LA consumers only, the rs174547 minor allele was significantly associated with lower HDL-cholesterol levels (beta = -0.05 mmol/L, p = 0.0002). Furthermore, each copy of the rs174547 minor allele was associated with a 1.58 cm lower waist circumference (p = 0.0005) and a 0.46 kg M-2 lower BMI (p = 0.01) in the low LA intake group, but not in the high LA intake group. Conclusions: The present study suggests that dietary LA intake may modulate the association between the FADS gene variants and HDL-cholesterol concentration, waist circumference and BMI. These gene -nutrient interactions, if confirmed, suggest that subjects carrying the rs174547 minor allele might benefit from low dietary LA intakes. (C) 2017 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Background: To which extent the association between ideal cardiovascular health (CVH) and incident vascular events differ by main coronary heart disease (CHD) and main stroke phenotype is currently unknown. Furthermore, data on potential mediating factors underlying the association of ideal CVH with outcomes are lacking. Aims: We aimed to 1) quantify the association between ideal CVH and incident CHD and stroke, 2) to assess for potential heterogeneity across main CHD and main stroke phenotypes and between CHD and stroke; and 3) to assess the mediating effect of a selected panel of key circulatory biomarkers from different relevant disease pathways. Methods and Results: A total of 9312 men middle-aged men (50-59 years) free of CHD and stroke were recruited in the framework of WHO MONICA centres in Lille, Strasbourg, Toulouse (France) and Belfast (Northern Ireland) between 1991 and 1993 and enrolled in the PRIME study. According to the American Heart Association, men with 0-2, 3-4 and 5-7 metrics at the ideal level were categorized as having poor, intermediate and ideal CVH respectively. Hazards ratios (HRs) were estimated using Cox proportional hazards regression and were adjusted for age, centre, education, living alone, marital status, family history of CHD and blood fibrinogen. The contribution of baseline circulating, endothelial inflammatory and haemostatic biomarkers was explored in a case control study nested within the PRIME cohort and settled after 10 years of follow-up. An ideal CVH was observed in 7% of the participants. After a median follow-up of 10 years, 614 first CHD events (myocardial infarction, angina, coronary death) and 117 first stroke events (ischaemic and non ischaemic) were adjudicated. Compared to those with poor CVH, those with an ideal CVH at baseline had a 72% lower risk of CHD (HR=0.28; 95% CI: 0.17; 0.46) and a 76% lower risk of stroke (HR=0.24; 95% CI: 0.06; 0.98) in multivariate analysis. No heterogeneity was detected across main CHD and main stroke phenotypes. While significantly lower mean concentrations of hs-CRP, IL-6, ICAM-1, fibrinogen and von Willbrandt factor were noted in subjects with ideal or intermediate as compared to poor CVH status in the controls, none of these biomarkers contribute to the association of CVH with future CHD. Conclusion: In this study ideal CVH was associated with a substantially lower risk of CHD and stroke, without any difference across phenotypes. Neither inflammatory, endothelial nor haemostatic biomarkers explained the lower risk of CHD in men with ideal CVH.

Background The aim of this study was to investigate whether the association between baseline cardiovascular health (CVH) and incident cardiovascular disease differs according to coronary heart disease (CHD) and stroke subtypes, and to assess the mediating effect of inflammatory and hemostatic blood biomarkers. Methods and Results The association of ideal CVH with outcomes was derived in 9312 middle‐aged men from Northern Ireland and France (whole cohort) in multivariable Cox proportional hazards regression analysis. The mediating effect of baseline inflammatory and hemostatic blood biomarkers was evaluated in a case–control study nested within the cohort after 10 years of follow‐up. After a median follow‐up of 10 years, 614 first CHD events and 117 first stroke events were adjudicated. Compared with those with poor CVH, those with an ideal CVH profile at baseline had a 72% lower risk of CHD (hazard ratio=0.28; 95% confidence interval, 0.17; 0.46) and a 76% lower risk of stroke (hazard ratio =0.24; 95% confidence interval, 0.06; 0.98). The magnitude of the risk reductions was similar for incident angina and myocardial infarction, but was lower for ischemic stroke. In the controls, the mean concentrations of high‐sensitivity C‐reactive protein, IL‐6, and fibrinogen decreased with higher CVH status. Furthermore, the association of behavioral CVH with incident CHD was partly mediated by high‐sensitivity C‐reactive protein (16.69%), IL‐6 (8.52%), and fibrinogen (7.30%) Conclusions Our study shows no clear heterogeneity in the association of baseline CVH with the main subtypes of cardiovascular disease. This supports a universal promotion of ideal CVH for all cardiovascular disease subtypes. Furthermore, our mediation analysis suggests that the lower risk of CHD associated with ideal CVH is partly mediated by lower inflammatory and hemostatic blood biomarkers.

BACKGROUND:Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES:This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS:In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS:We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 × 10-4 with a range of other diseases/traits. CONCLUSIONS:We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk.

Purpose To estimate the trends in- and out-hospital coronary heart disease (CHD) mortality rates from 2000 to 2016 and their respective proportions in total mortality using data of the three French CHD registries (Strasbourg, Toulouse, Lille). Methods All fatal myocardial infarction (MI), coronary deaths (CD) and sudden deaths occurring between January 1st, 2000 and December 31st of 2016, were recorded for patients aged 35 to 74 years. Results A total of 20,818 events were recorded in the three registers, of which 69.4% were out-of-hospital. Age- and region-adjusted CHD mortality rate decreased with an annual percentage change (APC) of -3.6% in men and -3.9% in women. This significant decrease was approximately twice as high for in-hospital deaths compared to out-of-hospital deaths (P Table 1 ). Conclusion More than two-thirds of the deaths from CHD occurred outside the hospital. The CHD mortality rates significantly decreased during the 2000-2016 period, for both genders. However, this decline was slighter for out-of-hospital deaths than for in-hospital deaths, pointing out the need to strengthen primary and secondary prevention of CHD.

Background One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes.Methods We pooled data from population-based studies that had collected data on diabetes through measurement of its biomarkers. We used a Bayesian hierarchical model to estimate trends in diabetes prevalence-defined as fasting plasma glucose of 7.0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs-in 200 countries and territories in 21 regions, by sex and from 1980 to 2014. We also calculated the posterior probability of meeting the global diabetes target if post-2000 trends continue.Findings We used data from 751 studies including 4 372 000 adults from 146 of the 200 countries we make estimates for. Global age-standardised diabetes prevalence increased from 4.3% (95% credible interval 2.4-7.0) in 1980 to 9.0% (7.2-11.1) in 2014 in men, and from 5.0% (2.9-7.9) to 7.9% (6.4-9.7) in women. The number of adults with diabetes in the world increased from 108 million in 1980 to 422 million in 2014 (28.5% due to the rise in prevalence, 39.7% due to population growth and ageing, and 31.8% due to interaction of these two factors). Age-standardised adult diabetes prevalence in 2014 was lowest in northwestern Europe, and highest in Polynesia and Micronesia, at nearly 25%, followed by Melanesia and the Middle East and north Africa. Between 1980 and 2014 there was little change in age-standardised diabetes prevalence in adult women in continental western Europe, although crude prevalence rose because of ageing of the population. By contrast, age-standardised adult prevalence rose by 15 percentage points in men and women in Polynesia and Micronesia. In 2014, American Samoa had the highest national prevalence of diabetes (>30% in both sexes), with age-standardised adult prevalence also higher than 25% in some other islands in Polynesia and Micronesia. If post-2000 trends continue, the probability of meeting the global target of halting the rise in the prevalence of diabetes by 2025 at the 2010 level worldwide is lower than 1% for men and is 1% for women. Only nine countries for men and 29 countries for women, mostly in western Europe, have a 50% or higher probability of meeting the global target.Interpretation Since 1980, age-standardised diabetes prevalence in adults has increased, or at best remained unchanged, in every country. Together with population growth and ageing, this rise has led to a near quadrupling of the number of adults with diabetes worldwide. The burden of diabetes, both in terms of prevalence and number of adults affected, has increased faster in low-income and middle-income countries than in high-income countries.Funding Wellcome Trust. Copyright (C) NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.

Little is known about sex difference of middle-term mortality rates in patients surviving an ACS and about comparison with mortality rates in the corresponding healthy population. Our aims were: 1/to review the sex difference mortality at short-term (28 day) in ACS patients, 2/to describe short-term mortality in relation with middle-term mortality (4 years), 3/to compare sex difference of middle-term mortality in patients surviving an ACS with the corresponding population. 6022 patients hospitalized for a first ACS registered in the Strasbourg (BR), Lille and Toulouse (HG) MONICA registries, between 2009 and 2011 were included. ACS were defined as STEMI, NSTEMI, or unstable angina (UA). Mean follow-up was 50.3 months. 3025 patients (50.2%) were STEMI, 1571 (26.1%) NSTEMI and 1426 (23.6%) UA. Short-term mortality was 6.7% in men vs 9.0% in women for STEMI (p=0.05), 4.7% vs 4.2% for NSTEMI (p=0.67) and 5.2% vs 6.6% for UA (p=0.29). Middle-term mortality was 7.4% in men and 8.5% in women for STEMI (p=0.39), 11.5% vs 11.9% for NSTEMI (p=0.82) and 8.6% vs 10.9% for UA (p=0.20). The small higher short-term and middle-term mortality in women was removed after adjustment for age and center. In men the middle-term risk of death for STEMI compared with the corresponding population was 3.05 [2.32-4.02] in HG, 2.88 [2.25-3.68] in BR and 2.34 [1.83-2.99] in Lille. In women the risk of death was 6.80 [4.03-11.5], 5.04 [3.04-8.37] and 6.40 [4.28-9.58] in HG, BR and Lille respectively. Considering males and females together, middle-term mortality of STEMI for HG was in relation to the regional population 3.26 [2.56-4.15] and to the French population 4.17 [3.27-5.32], for BR 3.53 [2.83-4.41] vs 3.74 [6.00-4.67] and for Lille 4.40 [3.57-5.43] vs 3.42 [2.78-4.22]. Short-term and middle-term mortality were similar in men and women. In patients surviving an ACS, middle-term mortality was, comparatively to the corresponding population, from 2 to 3 times higher in women than in men.

Background Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults in all countries.Methods We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI categories (<18.5 kg/m(2) [underweight], 18.5 kg/m(2) to <20 kg/m(2), 20 kg/m(2) to <25 kg/m(2), 25 kg/m(2) to <30 kg/m(2), 30 kg/m(2) to <35 kg/m(2), 35 kg/m(2) to <40 kg/m(2), = 40 kg/m(2) [morbid obesity]), by sex in 200 countries and territories, organised in 21 regions. We calculated the posterior probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue.Findings We used 1698 population-based data sources, with more than 19.2 million adult participants (9.9 million men and 9.3 million women) in 186 of 200 countries for which estimates were made. Global age-standardised mean BMI increased from 21.7 kg/m(2) (95% credible interval 21.3-22.1) in 1975 to 24.2 kg/m(2) (24.0-24.4) in 2014 in men, and from 22.1 kg/m(2) (21.7-22.5) in 1975 to 24.4 kg/m(2) (24.2-24.6) in 2014 in women. Regional mean BMIs in 2014 for men ranged from 21.4 kg/m(2) in central Africa and south Asia to 29.2 kg/m(2) (28.6-29.8) in Polynesia and Micronesia; for women the range was from 21.8 kg/m(2) (21.4-22.3) in south Asia to 32.2 kg/m(2) (31.5-32.8) in Polynesia and Micronesia. Over these four decades, age-standardised global prevalence of underweight decreased from 13.8% (10.5-17.4) to 8.8% (7.4-10.3) in men and from 14.6% (11.6-17.9) to 9.7% (8.3-11.1) in women. South Asia had the highest prevalence of underweight in 2014, 23.4% (17.8-29.2) in men and 24.0% (18.9-29.3) in women. Age-standardised prevalence of obesity increased from 3.2% (2.4-4.1) in 1975 to 10.8% (9.7-12.0) in 2014 in men, and from 6.4% (5.1-7.8) to 14.9% (13.6-16.1) in women. 2.3% (2.0-2.7) of the world's men and 5.0% (4.4-5.6) of women were severely obese (ie, have BMI = 35 kg/m(2)). Globally, prevalence of morbid obesity was 0.64% (0.46-0.86) in men and 1.6% (1.3-1.9) in women.Interpretation If post-2000 trends continue, the probability of meeting the global obesity target is virtually zero. Rather, if these trends continue, by 2025, global obesity prevalence will reach 18% in men and surpass 21% in women; severe obesity will surpass 6% in men and 9% in women. Nonetheless, underweight remains prevalent in the world's poorest regions, especially in south Asia. Copyright (C) NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.

Abstract Purpose: In clinical trials, lowering cardiovascular risk factors (CVRFs) reduces cardiovascular (CV) morbidity and mortality. We assessed the impact of controlling CVRFs at baseline on long-term all-cause and CV mortality in the general population. Methods: Analysis was based on the Third French MONICA population-based survey (1994–1997). Vital status was obtained 18 years after inclusion. Statistical analysis was based on Cox-modelling. Results: About 3402 participants aged 35–64 were included and 569 (17%) presented with 2 or more uncontrolled CVRFs, 1194 (35%) had one uncontrolled CVRF, 770 (23%) had all CVRFs controlled under treatment (or were former smokers) and 869 (25%) exhibited no CVRF. During the follow-up, 389 deaths occurred (76 were due to CV causes). Considering all-cause mortality, the adjusted hazard ratios (aHR) for subjects with one uncontrolled CVRF and for those with two or more were 1.38 [1.03–1.83] (p = 0.029) and 1.80 [1.33–2.43](p < 0.001), respectively, as compared with subjects presenting with all their CVRFs controlled. For subjects exhibiting no CVRF, the aHR was 0.66 [0.44–0.98] (p = 0.042). Considering CV mortality, aHRs for subjects presenting with one and two or more uncontrolled CVRF were 1.70 [0.84–3.42] (p = 0.138) and 3.67 [1.85–7.29] (p < 0.001), respectively, as compared with subjects who had either all their CVRFs controlled or exhibited no CVRF. Conclusions: Failing to control CVRFs significantly increases long-term all-cause and CV mortality in the French general population. Key messages Only 30% of patients with cardiovascular risk factors were controlled. Failing to control cardiovascular risk factors significantly increased long-term cardiovascular and all-cause mortality. A residual risk for all-cause mortality remained even when patients were controlled.

PURPOSE: Assessment of cardiovascular (CV) risk with a predictive algorithm is recommended for managing CV disease prevention. The aim of this study was to assess the predictive accuracy of the European Society of Cardiology SCORE among French people. METHODS: Our analysis was based on the Third French MONICA population-based survey (1995-1996) and on a sample of subjects referred (from 1995 to 2000) for a CV checkup in a preventive cardiology unit. Vital status was obtained 10 years after inclusion. The 10-year predicted risk of CV death was calculated using the SCORE equation for low-risk countries and was compared with the 10-year incidence of CV death observed in the cohort. RESULTS: The sample was composed of 6915 participants aged 35 to 64 years, among whom 56 CV deaths occurred during the followup. The median risk SCORE (0.97%) did not differ from the 10-year incidence of CV death observed in the cohort (1.05%; 95% CI, 0.81-1.37). The median risk SCORE calculated for different categories of sex, age, educational level, family history of premature CV disease, physical activity, impaired fasting glucose, smoking, systolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol did not differ from the 10-year incidence of CV death observed in these categories. The C-statistic of the SCORE equation was 79% (73-85). Using a 5% threshold to discriminate people at high risk, 93% of participants were correctly classified (subjects with SCORE ≥5% who died from a CV causes during followup and those with SCORE <5% who did not). CONCLUSIONS: Among middle-aged French people, the SCORE equation adequately predicts CV death.

To dissect the genetic architecture of blood pressure and assess effects on target organ damage, we analyzed 128,272 SNPs from targeted and genome-wide arrays in 201,529 individuals of European ancestry, and genotypes from an additional 140,886 individuals were used for validation. We identified 66 blood pressure-associated loci, of which 17 were new; 15 harbored multiple distinct association signals. The 66 index SNPs were enriched for cis-regulatory elements, particularly in vascular endothelial cells, consistent with a primary role in blood pressure control through modulation of vascular tone across multiple tissues. The 66 index SNPs combined in a risk score showed comparable effects in 64,421 individuals of non-European descent. The 66-SNP blood pressure risk score was significantly associated with target organ damage in multiple tissues but with minor effects in the kidney. Our findings expand current knowledge of blood pressure-related pathways and highlight tissues beyond the classical renal system in blood pressure regulation.

Background and Purpose— The aim was to investigate prospectively the all-cause mortality risk up to and after coronary heart disease (CHD) and stroke events in European middle-aged men. Methods— The study population comprised 10 424 men 50 to 59 years of age recruited between 1991 and 1994 in France (N=7855) and Northern Ireland (N=2747) within the Prospective Epidemiological Study of Myocardial Infarction. Incident CHD and stroke events and deaths from all causes were prospectively registered during the 10-year follow-up. In Cox’s proportional hazards regression analysis, CHD and stroke events during follow-up were used as time-dependent covariates. Results— A total of 769 CHD and 132 stroke events were adjudicated, and 569 deaths up to and 66 after CHD or stroke occurred during follow-up. After adjustment for study country and cardiovascular risk factors, the hazard ratios of all-cause mortality were 1.58 (95% confidence interval 1.18–2.12) after CHD and 3.13 (95% confidence interval 1.98–4.92) after stroke. Conclusions— These findings support continuous efforts to promote both primary and secondary prevention of cardiovascular disease.

Objective: To investigate the influence of age and gender on the prevalence and cardiovascular disease (CVD) risk in Europeans presenting with the Metabolic Syndrome (MetS).Methods: Using 36 cohorts from the MORGAM-Project with baseline between 1982-1997, 69094 men and women aged 19-78 years, without known CVD, were included. During 12.2 years of follow-up, 3.7%/2.1% of men/women died due to CVD. The corresponding percentages for fatal and nonfatal coronary heart disease (CHD) and stroke were 8.3/3.8 and 3.1/2.5.Results: The prevalence of MetS, according to modified definitions of the International Diabetes Federation (IDF) and the revised National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATPIII), increased across age groups for both genders (P<0.0001); with a 5-fold increase in women from ages 19-39 years to 60-78 years (7.4%/7.6% to 35.4%/37.6% for IDF/NCEP-ATPIII) and a 2-fold increase in men (5.3%/10.5% to 11.5%/21.8%). Using multivariate-adjusted Cox regressions, the associations between MetS and all three CVD events were significant (P<0.0001). For IDF/NCEP-ATPIII in men and women, hazard ratio (HR) for CHD was 1.60/1.62 and 1.93/2.03, for CVD mortality 1.73/1.65 and 1.77/2.06, and for stroke 1.51/1.53 and 1.58/1.77. Whereas in men the HRs for CVD events were independent of age (MetS*age, P>0.05), in women the HRs for CHD declined with age (HRs 3.23/3.98 to 1.55/1.56; MetS*age, P = 0.01/P = 0.001 for IDF/NCEP-ATPIII) while the HRs for stroke tended to increase (HRs 1.31/1.25 to 1.55/1.83; MetS*age, P>0.05).Conclusion: In Europeans, both age and gender influenced the prevalence of MetS and its prognostic significance. The present results emphasise the importance of being critical of MetS in its current form as a marker of CVD especially in women, and advocate for a redefinition of MetS taking into account age especially in women.

Background Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA(1c). We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions.Methods We used data from 96 population-based health examination surveys that had measured at least two of the biomarkers used for defining diabetes. Diabetes was defined using HbA(1c) (HbA(1c) >= 6 . 5% or history of diabetes diagnosis or using insulin or oral hypoglycaemic drugs) compared with either FPG only or FPG-or-2hOGTT definitions (FPG >= 7 . 0 mmol/L or 2hOGTT >= 11 . 1 mmol/L or history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated diabetes prevalence, taking into account complex survey design and survey sample weights. We compared the prevalences of diabetes using different definitions graphically and by regression analyses. We calculated sensitivity and specificity of diabetes diagnosis based on HbA1c compared with diagnosis based on glucose among previously undiagnosed individuals (ie, excluding those with history of diabetes or using insulin or oral hypoglycaemic drugs). We calculated sensitivity and specificity in each survey, and then pooled results using a random-effects model. We assessed the sources of heterogeneity of sensitivity by meta-regressions for study characteristics selected a priori.Findings Population prevalence of diabetes based on FPG- or-2hOGTT was correlated with prevalence based on FPG alone (r= 0 . 98), but was higher by 2-6 percentage points at different prevalence levels. Prevalence based on HbA(1c) was lower than prevalence based on FPG in 42 . 8% of age-sex-survey groups and higher in another 41 . 6%; in the other 15 . 6%, the two definitions provided similar prevalence estimates. The variation across studies in the relation between glucose-based and HbA(1c)-based prevalences was partly related to participants' age, followed by natural logarithm of per person gross domestic product, the year of survey, mean BMI, and whether the survey population was national, subnational, or from specific communities. Diabetes defined as HbA(1c) 6 . 5% or more had a pooled sensitivity of 52 . 8% (95% CI 51 . 3-54 . 3%) and a pooled specificity of 99 . 74% (99 . 71-99 . 78%) compared with FPG 7 . 0 mmol/L or more for diagnosing previously undiagnosed participants; sensitivity compared with diabetes defined based on FPG-or-2hOGTT was 30 . 5% (28 . 7-32 . 3%). None of the preselected study-level characteristics explained the heterogeneity in the sensitivity of HbA(1c) versus FPG.Interpretation Different biomarkers and definitions for diabetes can provide different estimates of population prevalence of diabetes, and differentially identify people without previous diagnosis as having diabetes. Using an HbA(1c)-based definition alone in health surveys will not identify a substantial proportion of previously undiagnosed people who would be considered as having diabetes using a glucose-based test.

Background. Measurement of expired-air carbon monoxide (EACO) is commonly used to ascertain non-smoking status, although it can also reflect exposures not related to smoking. Our aim was to assess 16-year mortality according to EACO measured at baseline, in a general population.Methods. Our analysis was based on the Third French MONICA population survey (1994-1997). Causes of death were obtained 16 years after inclusion, and assessment of determinants of mortality was based on Cox modeling.Results. EACO was measured in 2232 apparently healthy participants aged 35-64. During follow-up, 195 deaths occurred (19% were due to cardio-vascular (CV) causes and 49% to cancer). At baseline, the mean EACO was 11.8 (+/- 7.4)ppm, 4.6 (+/- 2.5) ppm, 4.3 (+/- 2.2) ppm for current, former and never smokers, respectively (P < 0.001). After adjustment for main mortality risk factors and smoking, the hazard ratio (HR) for total mortality was 1.03[95% confidence interval: 1.01-1.06] per 1-unit increase in EACO, and it was 1.04[1.01-1.07] for cancer mortality. Adjusted HR for CV mortality was 1.05[1.01-1.10] but did not remain significant after additional adjustment for smoking (0.98[0.91-1.04]). Interactions between EACO and smoking were not significant.Conclusions. In a general population, baseline EACO is an independent predictor of 16-year all-cause and cancer mortality, after adjustment for confounders including smoking. Given that the effect of EACO is similar among smokers and non-smokers, EACO is probably not solely related to smoking but could also be a marker of inhaled ambient carbon monoxide and/or endogenous production. Besides, smoking better predicts CV mortality than EACO. (C) 2015 Elsevier Inc. All rights reserved.

Background Food frequency questionnaires (FFQs) are often used to evaluate individuals' food intakes in epidemiologic studies because of their simplicity and low cost. Objective To assess the validity of a short (24 items), qualitative FFQ used in the MONA LISA-NUT study. Design Cross-sectional study of a representative sample in three French counties. Participants/setting The sample included 2,630 participants aged 35 to 65 years from the MONA LISA-NUT study. Main outcome measures Food consumption was measured with the FFQ and via food records for 3 consecutive days. Plasma fatty acids were measured from a subset of participants. Statistical analyses performed The FFQ items' validity was assessed by calculating crude and deattenuated Pearson correlation coefficients between frequencies reported by the FFQ and average weights reported by the food records. Furthermore, the validity of some items of the FFQ measuring the consumption of fatty foods was assessed by calculating Pearson correlation coefficients between frequencies of consumption of these foods and dosages of the corresponding plasma fatty acids: fish and eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), olive oil and oleic acid, margarine and elaidic acid, and dairy products and pentadecanoic and heptadecanoic acids. Results The mean of the deattenuated Pearson correlation coefficients for all items was 0.46, with values ranging from 0.22 (fried food) to 0.77 (breakfast cereal). The correlation coefficient was ≤0.4 for one third of the 24 items. Moderate correlations were found between fish and EPA/DHA (EPA: r=0.43, 95% CI 0.33 to 0.51; DHA: r=0.39, 95% CI 0.30 to 0.47), but not for other food items. Conclusions One third of the 24 items in the short, qualitative FFQ evaluated here were not sufficiently valid. However, for the food groups most commonly studied in the literature, this FFQ had the same degree of validity as other questionnaires designed to classify subjects according to their level of intake.