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

Association between lipids and apolipoproteins on type 2 diabetes risk; moderating effects of gender and polymorphisms; the ATTICA study

Background and aims: Type 2 diabetes mellitus (T2DM) is a condition defined by hyperglycaemia, but also often presents with dyslipidaemia and suppressed HDL cholesterol. Mendelian randomization studies have suggested a causal link between low HDL cholesterol and T2DM. However, influences of gender, polymorphisms and lifestyle, all known to influence HDL cholesterol, have not been fully explored in a prospective cohort. Methods and results: In 2001–2002, a random sample of 1514 males (18–87 years old) and 1528 females (18–89 years old) were recruited in the ATTICA study. The 10-year follow-up (2011–2012) included 1485 participants. Lipids and lipoproteins levels, glucose and insulin levels were measured together with apolipoprotein A1 (apoA1) 75 G/A genotype, which is known to influence HDL-cholesterol. In total, 12.9% of the study sample developed T2DM within the 10-year follow-up period. In multivariable models, for each mg/dL increase in apoA1 levels in males, 10-year T2DM risk decreased 1.02%; while every unit increase in apoB/LDL-cholesterol ratio increased risk 4-fold. Finally, for every unit increase in triglycerides/apoA1 ratio, the risk increased 85%. HOMA-IR independently predicted T2DM 10-year incidence only for carriers of GG polymorphism (all, p < 0.05), but not in carriers of the GA polymorphism (all, p > 0.05). Conclusion: ApoA1 was associated with decreased T2DM risk and TG/ApoA1 and apoB/LDL were associated with increased risk of T2DM, only in males. ApoA1 polymorphism, which is associated with lower HDL cholesterol, influenced the predictive effects of HOMA-IR on T2DM incidence, which appeared to be moderated by physical activity, suggesting potential scope for more targeted preventative strategies. © 2020 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II Universit

The role of dietary patterns' assessment in the predictive ability of cardiovascular disease risk estimation models: A review

Risk prediction scores have received much attention the past few years, especially in the primary prevention of cardiovascular disease (CVD). Although diet has been independently associated with CVD risk, its role in the accuracy of the developed scores has rarely been studied. Thus, in this review, the role of diet assessment on the performance of CVD risk scores and models was critically discussed. A computer-assisted literature search retrieved 15 relevant studies, but only two out of them evaluated the role of diet on the accuracy of the developed models; the inclusion of diet assessment improved significantly the accuracy of CVD risk models. The remaining studies suggested an independent, protective effect of healthy dietary habits on CVD risk, with an attributable risk varying from 9 to 37%. Inclusion of diet component in CVD risks scores, may increase the accuracy of the models, and better identify people at high risk. © 2014 Informa UK Ltd

Assessment of diet quality improves the classification ability of cardiovascular risk score in predicting future events: The 10-year follow-up of the ATTICA study (2002-2012)

Background In past years the prediction of cardiovascular disease (CVD) risk has received special attention; however, the presented risk models have so far not been very successful or appreciated. Design The aim of the present work was to examine whether the inclusion of a diet quality evaluation in a CVD risk prediction model is associated with the accuracy of estimating future events. Methods The working sample consisted of the 2009 ATTICA study participants (aged 18-89 years). The HellenicSCORE (a calibration of the European Society of Cardiology SCORE, based on age, gender, smoking habits, systolic blood pressure and total cholesterol) was calculated as a proxy of heart disease risk, while assessment of diet quality was based on the MedDietScore, which evaluates adherence to a Mediterranean diet. Fatal or non-fatal incidence of CVD (i.e., development of acute coronary syndromes, stroke or other CVD according to WHO-ICD-10 criteria) was calculated using the 10-year follow-up (2002-2012) data of the ATTICA study participants. Results The MedDietScore and the HellenicSCORE were significant predictors of CVD events (p < 0.05). The estimating bias (i.e., misclassification rate of cases) of the model that included only the HellenicSCORE was significantly reduced by the inclusion of MedDietScore in the risk model (Harrell's C = 0.027, p = 0.012), improving the classification ability of the risk model by 56%. Conclusion The inclusion of dietary evaluation increased the accuracy of HellenicSCORE risk estimation and, thus, its incorporation into CVD risk prediction scores might help clinicians and public health professionals to better allocate future CVD candidates. © European Society of Cardiology 2014

Greek acute coronary syndrome score for the prediction of in-hospital and 30-day mortality of patients with an acute coronary syndrome

Background and Objectives: Risk evaluation of patients hospitalized with acute coronary syndrome (ACS) may contribute to their short-term prognosis improvement. The aim of this work was to develop a prediction index (score) for the risk assessment of 30-day death of ACS patients, using clinical and biological measurements at hospital admission. Methods: A sample of 6 Greek hospitals was selected, and almost all consecutive 2172 ACS patients from October 2003 to September 2004 were enrolled. Sociodemographic, biochemical, clinical, and lifestyle characteristics were recorded. Using as components age, systolic blood pressure, white blood cell count, creatine kinase-MB, and creatinine levels at the time of admission and the time between the onset of symptoms and presentation at hospital, a risk score (Greek Acute Coronary Syndrome score; range, 6-36) was developed and tested against in-hospital and 30-day outcome of the patients. Results: The Greek Acute Coronary Syndrome score showed strong discriminating ability for in-hospital mortality (area under the receiver operating characteristic curve, 0.812; 95% confidence interval, 0.750-0.874; P <.001) and 30-day death after hospitalization (area under the receiver operating characteristic curve, 0.720; 95% confidence interval, 0.724-0.837; P <.001). The optimal value of the score, which discriminates those who will die in-hospital from survivors, was 24, and that for those who will die within 30 days after discharge was 22. The score's classification ability was confirmed using 100 bootstrap samples and remained similar among several subgroups of patients (younger or older, men or women, type of ACS, and diabetes status). Conclusions: The suggested risk score using routinely collected clinical and biological data may be a useful tool in clinical practice for decision making regarding further management, not only during hospitalization but also in the postdischarge period. © 2015 Wolters Kluwer Health, Inc

Identifying determinants of obesity in Athens, Greece through global and local statistical models

Individual socioeconomic status is linked to obesity risk, though, less is known about the influence of an area's socio-environmental conditions on obesity/overweight prevalence. This association was investigated using obesity/overweight data collected from 2445 individuals in Athens greater area, who were randomly enrolled in ATTICA study, during 2001 to 2002, and factors related to educational and economic level, population density, immigrants and green urban areas. Thematic mapping illustrated the socio-environmental status and highlighted the obesity/overweight prevalence across the municipalities of Athens. Global statistical models revealed that high socio-environmental status, educational and economic level were inversely associated with obesity/overweight (p < 0.001). Furthermore, local Geographically Weighted Regression revealed spatial non-stationarity in the relationship between green urban areas and obesity/overweight. The findings of the study lead to the better understanding of the factors affecting obesity/overweight and may support the development of policies that target to well-being, decrease of obesity/overweight prevalence and improvement of public health. © 2019 Elsevier Lt

Sex-related differences of the effect of lipoproteins and apolipoproteins on 10-year cardiovascular disease risk; insights from the ATTICA study (2002-2012)

The sex-specific effect of lipid-related biomarkers on 10-year first fatal/non fatal cardiovascular disease (CVD) incidence was evaluated. ATTICA study was conducted during 2001-2012. n = 1514 men and n = 1528 women (>18 years) from greater Athens area, Greece were recruited. Follow-up (2011-2012) was achieved in n = 2020 participants. Baseline lipid profile was measured. Overall CVD event was 15.5% (n = 317) (19.7% in men and 11.7% in women, p < 0.001). High density lipoprotein cholesterol (HDL-C) and triglycerides (TAG) were independently associated with CVD in women; per 10 mg/dL HDL-C increase, hazard ratio (HR) = 0.73, 95% confidence interval (95% CI) (0.53, 1.00); and per 10 mg/dL TAG increase, HR = 1.10, 95% CI (1.00, 1.21). Apolipoprotein A1 (ApoA1) (per 10 mg/dL increase, HR = 0.90, 95% CI (0.81, 0.99)) was inversely associated with CVD in women, while a positive association with apolipoprotein B100 (ApoB100) was observed only in men (per 10 mg/dL increase, HR = 1.10, 95% CI (1.00, 1.21)). Non-HDL-C was associated with CVD in the total sample (HR = 1.10, 95% CI (1.00, 1.21)) and in women (HR = 1.10, 95% CI (1.00, 1.21)); a steep increase in HR was observed for values >185 mg/dL in the total sample and in men, while in women, a raise in CVD risk was observed from lower values (>145 mg/dL). As for non-HDL-C/HDL-C and TC/HDL-C ratios, similar trends were observed. Beyond the common cholesterol-adjusted risk scores, reclassifying total CVD risk according to other lipid markers may contribute to early CVD prevention. Biomarkers such as HDL-C, non-HDL-C, and TAG should be more closely monitored in women. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)

Foods, nutrients and dietary patterns in relation to irrational beliefs and related psychological disorders: The attica epidemiological study

We explored the differences in dietary habits and dietary patterns between individuals characterized by irrational beliefs with no or low anxiety and depressive symptoms and individuals characterized by irrational beliefs with high anxiety and depressive symptomatology. Within the context of the ATTICA cohort study (2002–2012), 853 participants without evidence of cardiovascular disease (453 men (45 ± 13 years) and 400 women (44 ± 18 years)) underwent mental health assessment through the irrational beliefs inventory (IBI), the Zung self-rating depression scale (ZDRS) and the state–trait anxiety inventory (STAI). Demographic characteristics, a thorough medical history, dietary behaviour and other lifestyle behaviours were also evaluated and analysed using factor analysis. Five main factors related to dietary patterns were extracted for the high-IBI/low-STAI group of participants (explaining the 63% of the total variation in consumption), whereas four factors were extracted for the high-IBI/high-STAI participants, the high-IBI/low-ZDRS participants and the high-IBI/high-ZDRS participants, explaining 53%, 54% and 54% of the total variation, respectively. A Western-type dietary pattern was the most dominant factor for individuals reporting irrational beliefs and anxiety or depressive symptomatology. The high refined carbohydrates and fats dietary pattern was the most dominant factor for individuals with irrational beliefs but without psychopathology. Linear regression analysis showed that irrational beliefs, in combination with anxiety or depression, age, sex and BMI, were important predictors of adherence to the Mediterranean diet. Dietary habits interact with irrational beliefs and, in association with the consequent psychological disorders, are associated with overall diet, and presumably may affect the health status of individuals. © 2021 by the authors. Licensee MDPI, Basel, Switzerland