Visceral adiposity index and 10-year cardiovascular disease incidence:the ATTICA study

Background and aims: Visceral adiposity index (VAI) has been proposed as a marker of visceral adipose tissue accumulation/dysfunction. Our aim was to evaluate potential associations between the VAI and the 10-year cardiovascular disease (CVD) incidence. Methods and results: During 2001-2002, 3042 Greek adults (1514 men; age: ≥18 years) without previous CVD were recruited into the ATTICA study, whilst the 10-year study follow-up was performed in 2011-2012, recording the fatal/non-fatal CVD incidence in 2020 (1010 men) participants. The baseline VAI scores for these participants were calculated based on anthropometric and lipid variables, while VAI tertiles were extracted for further analyses. During the study follow-up a total of 317 CVD events (15.7%) were observed. At baseline, the participants' age and the prevalence of hypertension, diabetes, hypercholesterolemia and metabolic syndrome increased significantly across the VAI tertiles. After adjusting for multiple confounders, VAI exhibited a significantly independent positive association with the 10-year CVD incidence (OR = 1.05, 95%CI: 1.01, 1.10), whereas the association of the body mass index (HR = 1.03, 95%CI: 0.99, 1.08), or the waist circumference (HR = 1.01, 95%CI: 0.99, 1.02) was less prominent. Sex-specific analysis further showed that VAI remained significantly predictive of CVD in men alone (HR = 1.06, 95%CI: 1.00, 1.11) but not in women (HR = 1.06, 95%CI: 0.96, 1.10). Conclusions: Our findings show for the first time in a large-sample, long-term, prospective study in Europe that the VAI is independently associated with elevated 10-year CVD risk, particularly in men. This suggests that the VAI may be utilized as an additional indicator of long-term CVD risk for Caucasian/Mediterranean men without previous CVD

Repeatability of food frequency assessment tools in relation to the number of items and response categories included

Background: Accuracy of a measurement is a cornerstone in research in order to make robust conclusions about the research hypothesis. Objective: To examine whether the number of items (questions) and the number of responses of consumption included in nutritional assessment tools influence their repeatability. Methods: During 2009, 400 participants (250 from Greece, 37±13 yrs, 34% males and 150 participants from Spain, 39±17 yrs, 41% males) completed a diet index with 11-items and binary (yes/no) responses, a diet-index with 11-items and 6-scale responses, a 36-item and a 76-item food frequency questionnaire (FFQ) with 6-scale responses. Participants completed these tools, twice, within 15-days period. Spearman-Brown (rsb), Kendall’s tau coefficients and the Bland-Altman method were applied to answer the research hypothesis. Results: The highest repeatability coefficient was observed for the 11-items with binary responses index (rsb=0.948, p<0.001), followed by the 11-items with 6-scale responses index (rsb=0.943, p<0.001), the 36-item (rsb=0.936, p<0.001) and the 76-item FFQs (rsb=0.878, p<0.001). Statistical comparisons revealed no significant differences between repeatability coefficients of the first three tools (p>0.23); whereas the aforementioned tools had significantly higher repeatability coefficients as compared with the 76-item FFQ (p=0.002). Sub-group analyses by gender, education, smoking and clinical status, confirmed the aforementioned results. Conclusion: Repeatability has been revealed for all food frequency assessment tools used, irrespective of the number of items or the number of responses included

Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium.

BACKGROUND: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. METHODS: In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence of the coronary heart disease event or ischaemic stroke. Sex-specific multivariable analyses were computed using non-HDL cholesterol categories according to the European guideline thresholds, adjusted for age, sex, cohort, and classical modifiable cardiovascular risk factors. In a derivation and validation design, we created a tool to estimate the probabilities of a cardiovascular disease event by the age of 75 years, dependent on age, sex, and risk factors, and the associated modelled risk reduction, assuming a 50% reduction of non-HDL cholesterol. FINDINGS: Of the 524 444 individuals in the 44 cohorts in the Consortium database, we identified 398 846 individuals belonging to 38 cohorts (184 055 [48·7%] women; median age 51·0 years [IQR 40·7-59·7]). 199 415 individuals were included in the derivation cohort (91 786 [48·4%] women) and 199 431 (92 269 [49·1%] women) in the validation cohort. During a maximum follow-up of 43·6 years (median 13·5 years, IQR 7·0-20·1), 54 542 cardiovascular endpoints occurred. Incidence curve analyses showed progressively higher 30-year cardiovascular disease event-rates for increasing non-HDL cholesterol categories (from 7·7% for non-HDL cholesterol <2·6 mmol/L to 33·7% for ≥5·7 mmol/L in women and from 12·8% to 43·6% in men; p<0·0001). Multivariable adjusted Cox models with non-HDL cholesterol lower than 2·6 mmol/L as reference showed an increase in the association between non-HDL cholesterol concentration and cardiovascular disease for both sexes (from hazard ratio 1·1, 95% CI 1·0-1·3 for non-HDL cholesterol 2·6 to <3·7 mmol/L to 1·9, 1·6-2·2 for ≥5·7 mmol/L in women and from 1·1, 1·0-1·3 to 2·3, 2·0-2·5 in men). The derived tool allowed the estimation of cardiovascular disease event probabilities specific for non-HDL cholesterol with high comparability between the derivation and validation cohorts as reflected by smooth calibration curves analyses and a root mean square error lower than 1% for the estimated probabilities of cardiovascular disease. A 50% reduction of non-HDL cholesterol concentrations was associated with reduced risk of a cardiovascular disease event by the age of 75 years, and this risk reduction was greater the earlier cholesterol concentrations were reduced. INTERPRETATION: Non-HDL cholesterol concentrations in blood are strongly associated with long-term risk of atherosclerotic cardiovascular disease. We provide a simple tool for individual long-term risk assessment and the potential benefit of early lipid-lowering intervention. These data could be useful for physician-patient communication about primary prevention strategies. FUNDING: EU Framework Programme, UK Medical Research Council, and German Centre for Cardiovascular Research

Methodological issues in the quantitative assessment of quality of life

The term quality of life can be identified in Aristotle&apos;s classical writings of 330 BC. In his Nichomachian ethics he recognises the multiple relationships between happiness, well-being, &quot;eudemonia&quot; and quality of life. Historically the concept of quality of life has undergone various interpretations. It involves personal experience, perceptions and beliefs, attitudes concerning philosophical, cultural, spiritual, psychological, political, and financial aspects of everyday living. Quality of life has been extensively used both as an outcome and an explanatory factor in relation to human health, in various clinical trials, epidemiologic studies and health interview surveys. Because of the variations in the definition of quality of life, both in theory and in practice, there are also a wide range of procedures that are used to assess quality of life. In this paper several methodological issues regarding the tools used to evaluate quality of life is discussed. In summary, the use of components consisted of large number of classes, as well as the use of specific weights for each scale component, and the low-to-moderate inter-correlation level between the components, is evident from simulated and empirical studies. © SAGE Publications 2011

Chronic exposure to second hand smoke and 30-day prognosis of patients hospitalised with acute coronary syndromes: The Greek study of acute coronary syndromes

Objective: To investigate the association between chronic exposure to second hand smoke (SHS) and the short-term prognosis of patients hospitalised with acute coronary syndromes. Methods: Between 1 October 2003 and 30 September 2004, 2172 consecutive patients enrolled with acute coronary syndromes at the cardiology clinics or the emergency units of six major hospitals, in Greece were studied. Exposure to SHS was measured through a questionnaire administered during a specific interview, after the second day of hospitalisation. The main outcome of interest was the 30-day status of these patients (death, or rehospitalisation due to coronary heart disease). Results: 1003 (46%) of the patients were exposed to SHS. Patients reporting exposure to SHS had 61% (95% CI 14% to 118%) higher risk of having an event during the first 30 days after hospitalisation as compared with patients who were not exposed to SHS, after taking into account the effect of several potential confounders. A dose-response linear relationship was observed between the risk of having recurrent events and the years of exposure to SHS (p = 0.17, p&lt;0.001). Conclusions: Exposure to SHS increases considerably the risk of recurrent events in patients who had survived a cardiac event

α-priori and α-posterior dietary pattern analyses have similar estimating and discriminating ability in predicting 5-y incidence of cardiovascular disease: Methodological issues in nutrition assessment

The 5-y incidence of cardiovascular disease (CVD) in relation to dietary habits was evaluated, using 2 methodological approaches, an α-priori and an α-posterior diet pattern analyses. The aim of this study was to compare these methods in predicting CVD events. From May 2001 to December 2002, 3042 men and women (&gt;18 y) without any clinical evidence of CVD were enrolled in the ATTICA study. In 2006, the 5-y follow-up was performed (941 of the 3042 [31%] participants were lost to follow-up). Development of CVD (coronary heart disease, acute coronary syndromes, stroke, or other CVD) during the follow-up period was defined according to WHO-ICD-10 criteria. An α-posterior statistical method, principal component analysis (PCA), was applied to extract dietary patterns from various foods or food groups. Moreover, a special diet score that incorporates inherent characteristics of the Mediterranean diet (the MedDietScore) was also used to assess level of adherence to this diet (α-priori approach). Using PCA 10 components were extracted that explained the 57% of the total variation in intake. The model that also included various potential confounders together with the extracted components showed adequate goodness of fit and very good discriminating ability (C-statistic = 0.85). The other model that included the same potential confounders together with the MedDietScore also showed adequate goodness of fit and very good discriminating ability, too (C-statistic = 0.83). α-priori and α-posterior dietary assessment showed similar estimating and discriminating ability in predicting CVD, in our sample. © 2009 Institute of Food Technologists®

Inclusion of dietary evaluation in cardiovascular disease risk prediction models increases accuracy and reduces bias of the estimations

In the past few years, the prediction of CVD risk has received special attention; however, some investigators assert that risk models have so far not been very successful. Thus, we examined whether the inclusion of dietary evaluation in a risk prediction model that already contained the classical CVD risk factors increases the accuracy and reduces the bias in estimating future CVD events. The database of the ATTICA study (which included information from 1,514 men and 1,528 women) was used. At baseline, the HellenicSCORE values (based on age, gender, smoking, systolic blood pressure, and total cholesterol) were calculated, while overall assessment of dietary habits was based on the Mediterranean diet score (MDS) that evaluates adherence to this traditional diet. In 2006, a five-year follow-up was performed in 2,101 participants and development of CVD (coronary heart disease, acute coronary syndromes, stroke, or other CVD) was defined according to WHO-ICD-10 criteria. The MDS and the HellenicSCORE were significant predictors of CVD events, even after adjusting for various potential confounders (p &lt; 0.05). However, estimating bias (i.e., misclassification of cases) of the model that included HellenicSCORE and other potential confounders was 8.7%. The MDS was associated with the estimating bias of the outcome (p &lt; 0.001) and explained 5.5% of this bias. Other baseline factors associated with bias were increased body mass index, low education status, and increased energy intake/BMR ratio. The inclusion of dietary evaluation, as well as other Sociodemographic and anthropometric characteristics, increases the accuracy and reduces estimating bias of CVD risk prediction models. © 2008 Society for Risk Analysis

White Meat Consumption and Cardiometabolic Risk Factors: A Review of Recent Prospective Cohort Studies

Although the association between meat consumption and cardiovascular diseases (CVDs) has been extensively investigated, studies focusing specifically on the relationship between white meat consumption and CVD risk factors are fewer with controversial findings. The aim was to evaluate the relationship between white meat consumption and the incidence of cardiometabolic risk factors. A comprehensive literature search of PubMed articles was conducted from 2010 to 2022 (1 November), according to PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Thirteen prospective cohort studies were selected studying mainly poultry, with the exception of one study that also analyzed rabbit meat. From the seven studies on the risk of type 2 diabetes mellitus, four studies found no association, two studies found positive associations, and two studies found inverse associations when comparing poultry to other meats. Of the two studies on the risk of hypertension, one observed no association and one a positive association. Of the two studies on weight management, one observed a positive association with weight gain, the other study observed the same relationship only for chicken with skin, while for chicken without skin a positive relationship with relative weight loss was found. As for metabolic syndrome and its components, two studies revealed inverse associations with white meat intake. Only fresh lean white meat consumption seems to have potential beneficial effects on cardiometabolic risk factors. Future research should scrutinize consumption habits related to white meat intake when investigating its association with cardiometabolic risk factors. © 2022 by the authors

Dietary patterns: A Mediterranean diet score and its relation to clinical and biological markers of cardiovascular disease risk

Background and aim: It has been suggested that overall dietary patterns and not single nutrients should be studied, since food items might have a synergistic and antagonistic effect on health. The Mediterranean diet has long been associated with lower incidence of cardiovascular disease and cancer. Therefore, we developed a diet score that incorporates the inherent characteristics of this dietary pattern. Methods and results: We used 11 main components of the Mediterranean diet (non-refined cereals, fruits, vegetables, potatoes, legumes, olive oil, fish, red meat, poultry, full fat dairy products and alcohol). For the consumption of items presumed to be close to this pattern we assigned scores 0, 1, 2, 3, 4 and 5 when a participant reported no consumption, rare, frequent, very frequent, weekly and daily, respectively. For the consumption of foods presumed to be away from this pattern we assigned the scores on a reverse scale. Especially for alcohol, we assigned score 5 for consumption of less than 300 ml/day, score 0 for consumption of more than 700 ml/day or none and scores 1-4 for consumption of 300-400, 400-500, 500-600, and 600-700 ml/day (100 ml = 12 g ethanol), respectively. Then a total score ranging from 0 to 55 was calculated. After having applied this diet score in the participants of the ATTICA study we observed a significant positive association with monounsaturated fat and monounsaturated-to-saturated fat intake. We also observed, an inverse association with serum lipids, blood pressures, inflammation and coagulation markers related to cardiovascular disease. The application of that score in a case-control study (CARDIO2000) suggested that the score was inversely associated with the odds of having acute coronary syndromes. Conclusion: The Mediterranean diet score proposed above may be useful in assessing the nutritional status of an individual and investigating the relationship of the Mediterranean diet with various health outcomes. © 2005 Elsevier B.V. All rights reserved