Waist-to-Height Ratio Outperforms Classic Anthropometric Indices in Predicting Successful Aging in Older Adults; an Analysis of the ATTICA and MEDIS Epidemiological Studies.

Background/Study context: The aim of the present work was to investigate the association of Waist-to-Height Ratio (WHtR) with Successful Aging (SA) status and compare it to classic anthropometric indices, among middle-aged and older individuals.Methods: Among various socio-demographic, clinical and lifestyle characteristics, height, weight, waist circumference (WC), Waist-to-Hip Ratio (WHR) and WHtR of the Greek participants, over 50 years old, enrolled in the ATTICA (n = 1,128) and the MEDIS (n = 2,221) in relation to SA; SA was evaluated using the validated Successful Aging Index (SAI, range 0-10) comprising of health-related, social, lifestyle, and clinical parameters.Results: WHtR was inversely associated with SAI with every 0.1-unit increase, lowering SAI by almost 0.5 units (b-coefficient±SE: -4.71 ± 0.26; 95%CI: -5.21, -4.20). Also, WHtR was more strongly associated with SAI (b = -0.352), surpassing the effect of age and sex (b = -0.347 and 0.11, respectively). With respect to the other anthropometric indices (weight, height, WC, WHR), WHtR exhibited the highest explanatory ability (Adjusted R2 = 0.345); the higher the adjusted R2 the higher explanatory ability.Conclusions: WHtR was revealed as the best determinant of successful aging, with respect to other anthropometric indices (weight, height, WC, WHR). The present findings are of significant public health importance for better understanding the role of body mass distribution on the aging process.

Visceral adiposity index outperforms common anthropometric indices in predicting 10-year diabetes risk: Results from the ATTICA study.

BACKGROUND: Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10-year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices. METHODS: In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD-free men (18-87 years old) and women (18-89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10-year follow-up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow-up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10-year diabetes incidence. RESULTS: One hundred thirty-three incident cases of diabetes were documented (10-year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1-unit increase =1.22; 95%CI, 1.09-1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist-to-height ratio, to the correct classification of participants who developed diabetes. CONCLUSIONS: The present findings suggest that VAI may be a useful index for predicting long-term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices.

Decomposition of Mediterranean Dietary Pattern on Successful Aging, Among Older Adults: A Combined Analysis of Two Epidemiological Studies.

Objective: To investigate the association of Mediterranean food group consumption with successful aging (SA), among people more than 50 years old. Method: Dietary habits, as well as several bio-clinical characteristics of the Greek participants enrolled in the ATTICA (n = 1,128 men and women from Athens metropolitan area) and the MEDIS (n = 2,221 men and women from selected Greek islands) cohort studies were investigated in relation to SA; SA was measured using a validated 10-scale index. Results: Multivariate discriminant food group analysis revealed that legumes consumption, followed by vegetables, cereals, and poultry were associated with higher levels of SA index (explained variability: 7.9%), mainly among islanders, but not among mainland participants. Further analysis revealed that alcohol consumption was positively associated with SA for mainlanders (ATTICA study) but inversely for islanders (MEDIS study; all p's < .05). Conclusion: The differential and hierarchical effect of various foods on SA and the diet-environmental interaction revealed in the present work may help health professionals to better understand the role of diet on SA, and to prioritize the nutritional needs of older people for better quality of life.

A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health classification. In this work, the predictive accuracy of statistical v. ML methodologies as regards the association of dietary patterns on CVD risk was tested. During 2001-2002, 3042 men and women (45 (sd 14) years) were enrolled in the ATTICA study. In 2011-2012, the 10-year CVD follow-up was performed among 2020 participants. Item Response Theory was applied to create a metric of combined 10-year cardiometabolic risk, the 'Cardiometabolic Health Score', that incorporated incidence of CVD, diabetes, hypertension and hypercholesterolaemia. Factor analysis was performed to extract dietary patterns, on the basis of either foods or nutrients consumed; linear regression analysis was used to assess their association with the cardiometabolic score. Two ML techniques (k-nearest-neighbor's algorithm and random-forests decision tree) were applied to evaluate participants' health based on dietary information. Factor analysis revealed five and three factors from foods and nutrients, respectively, explaining 54 and 65 % of the total variation in intake. Nutrient and food pattern regression models showed similar accuracy in correctly classifying an individual according to the cardiometabolic risk (R 2=9·6 % and R 2=8·3 %, respectively). ML techniques were superior compared with linear regression in correct classification of the individuals according to the Health Score (accuracy approximately 38 v. 6 %, respectively), whereas the two ML methods showed equal classification ability. Conclusively, ML methods could be a valuable tool in the field of nutritional epidemiology, leading to more accurate disease-risk evaluation.

Association of Socio-Environmental Determinants with Diabetes Prevalence in the Athens Metropolitan Area, Greece: A Spatial Analysis.

OBJECTIVES: The aim of this study was to investigate the spatial variation of diabetes in relation to the geographical variability of socio-environmental characteristics in the urban districts of Athens. METHODS: A sample of 2,445 individuals from the greater area of Athens was randomly enrolled in the ATTICA study between 2001 and 2002. Diabetes was defined according to American Diabetes Association criteria. Geographical and statistical analyses were applied to examine the relationship between diabetes prevalence and factors related to education, economic status, population density, immigrant status, and availability of urban green areas. Diabetes prevalence and socio-environmental factor mapping was based on the Geographic Information Systems (GIS) technology. Variograms and spatial quasi-Poisson regression analysis evaluated the associations of diabetes with the socio-environmental variables at the municipal level. RESULTS: According to the geographical analysis and mapping, the highest proportions of people with diabetes were found in the West sector and in one district of the East and South sector each. Regression analysis revealed that the proportion of inhabitants with higher education is negatively correlated with diabetes prevalence in the regional areas of Athens. CONCLUSIONS: The study revealed that socio-environmental status in residential areas, especially educational and economic levels, is correlated with diabetes prevalence at the aggregate level. These correlations may reflect socio-economic segregation patterns at the district level, and different prevalence rates of diabetes among individuals with higher income and educational levels.

Single and combined effects of inflammatory markers on 10 year diabetes incidence: The mediating role of adiposity-Results from the ATTICA cohort study.

BACKGROUND: The role of inflammation in diabetes development is not fully elucidated. The aim of this work was to investigate the independent effect of individual inflammatory markers and combinations of them on diabetes incidence and the potential mediating role of obesity. METHODS: In 2001 to 2002, a random sample of 1514 men (18-87 years old) and 1528 women (18-89 years old) was selected to participate in the ATTICA study, where Athens is a major metropolis. Interleukin-6 (IL-6), C-reactive protein (CRP), tumour necrosis factor-alpha, serum amyloid alpha, fibrinogen, and homocysteine were measured. Covariates included various clinical, demographic, and lifestyle characteristics, assessed with standard procedures. In 2012, the 10 year follow-up was performed. Diabetes diagnosis was defined according to American Diabetes Association criteria among n = 1485 participants. RESULTS: One hundred ninety-one incident cases of diabetes were documented, yielding an incidence of 12.9% (13.4% in men and 12.4% in women). After adjustments, only elevated IL-6 increased by 2.2 times the 10 year diabetes risk (third vs first tertile, 95% CI: 1.13, 4.28). After investigating combinations of inflammatory markers, combined elevated levels of CRP and IL-6 or CRP and fibrinogen (both markers ≥75th percentile vs <75th percentile) increased the risk by 1.93 times (95% CI: 1.20, 3.08) and 2.37 times (95% CI: 1.37, 4.16), respectively. Body mass index was found to significantly mediate the aggravating effect of inflammation. CONCLUSIONS: The reported results underline the significant role of individual IL-6 or combinations of CRP-IL-6 and CRP-fibrinogen in diabetes prediction. Adiposity seems to be primarily responsible for an increase in inflammatory markers, leading through this mechanism to insulin resistance and increasing diabetes risk.

Moderate physical activity reduces 10-year diabetes incidence: the mediating role of oxidative stress biomarkers.

OBJECTIVES: To evaluate the effect of physical activity levels on 10-year diabetes incidence and investigate the potential mechanism. METHODS: In 2001-2002, a random sample of apparently healthy 3042 men and women (18-89 years) was selected to participate in the ATTICA study. Several socio-demographic, clinical and lifestyle characteristics were recorded. Physical activity level was recorded through a translated, validated, version of International Physical Activity Questionnaire (IPAQ); MET min/week was calculated and quartiles constructed. Diabetes diagnosis was defined according to the ADA criteria. During 2011-2012, a 10-year follow-up was performed. RESULTS: n = 191 cases were recorded, yielding an incidence of 12.9%. In multivariable analysis, moderate physical activity level (331-1484 MET min/week) was found to decrease 10-year diabetes incidence by 53% compared to very low physical activity (< 150 MET min/week) (OR = 0.47; 95% CI 0.24, 0.93). For high physical activity level (> 1484 MET min/week), the results were not significant. The antidiabetic effect was found to be mediated by oxidized LDL and total antioxidant capacity. CONCLUSIONS: The current work revealed the significant beneficial role of moderate physical activity against diabetes development, potentially through attenuating oxidative stress.

Macronutrient Composition and Management of Non-Insulin-Dependent Diabetes Mellitus (NIDDM): A New Paradigm for Individualized Nutritional Therapy in Diabetes Patients.

Medical nutrition therapy constitutes an important lifestyle intervention in diabetes management. Several nutrition patterns have been effective in improving diabetes control, but there has been a debate about the optimal macronutrient composition in diabetes meal planning. For many years, the recommended diets for persons with and without diabetes were similar, i.e. heart-healthy and low in fat. For almost three decades, carbohydrates have been lauded, lipids demonized, and proteins considered of little importance. However, in the past few years, this concept has been questioned and reassessed. Modern nutritional recommendations for people with diabetes are headed towards individualization, but lack specific guidelines. Nutritional algorithms may help nutritionists in diabetes meal planning. This review aims to discuss: 1) the effects of the three major macronutrients (carbohydrates, proteins, and lipids) on glucose levels, 2) current recommendations for macronutrient intake for people with diabetes, and 3) specific parameters that need to be taken into consideration when determining the macronutrient composition for a person with diabetes, for example body mass index, degree of insulin resistance, HbA1c value, and lipid profile (especially triglycerides and HDL cholesterol). These aspects are analyzed in the context of the results of recent studies, especially randomized controlled trials (RCTs). Finally, we introduce an individualized nutritional concept that proposes carbohydrate over lipid restriction, substitution of SFAs with MUFAs and PUFAs, and adequate intake of dietary fiber, which are key factors in optimizing diabetes management.

Dietary Patterns and 10-year (2002-2012) Incidence of Type 2 Diabetes: Results from the ATTICA Cohort Study.

AIM: To identify dietary patterns among apparently healthy individuals and to determine their long-term effect on diabetes incidence. METHODS: During 2001-2002, a random sample of 3,042 men and women (18-89 years old), living in greater Athens, was randomly selected to participate in the study. During 2011-2012, the 10-year follow-up was performed in 2,583 participants (15% drop-out rate). After excluding participants with diabetes at baseline and those for whom no information on diabetes status was available at follow-up, the working sample consisted of 1,485 participants. Dietary habits were assessed by means of a validated semi-quantitative, food frequency questionnaire. Factor analysis was performed to extract dietary patterns from 18 food groups. RESULTS: Diabetes diagnosis at follow-up was made in 191 participants, yielding an incidence rate of 12.9%. Six factors (i.e. dietary patterns) were identified that explained 54% of the variation in consumption. After adjusting for major confounders, and stratification by age-group, logistic regression revealed that the most healthful pattern consisted of the consumption of fruits, vegetables, legumes, bread, rusk, and pasta which reduced the 10-year diabetes risk by 40%, among participants aged 45-55 years. The association reached marginal statistical significance (95% CI: 0.34, 1.07), while no significant association was observed for the other age-groups. When the analysis was additionally adjusted for carbohydrate percentage, statistical significance was lost completely, suggesting a possibly mediating effect of this macronutrient. CONCLUSIONS: The results confirm the potentially protective effect of a plant-based dietary pattern in the primary prevention of diabetes, in particular among middle-aged people. Carbohydrate content may be a specific factor in this relationship; other micronutrients found in plant-based food groups may also play a role.

10-year incidence of diabetes and associated risk factors in Greece: the ATTICA study (2002-2012).

BACKGROUND: The incidence of diabetes in the general population is increasing world-wide. The increase is attributed to the consumption of saturated fatty acids, obesity, lack of physical activity, genetic predisposition, and other factors, but knowledge about the reasons, biological mechanisms, and late complications is insufficient. It is therefore important to clarify the reasons more exactly through long-term clinical trials to stop the rise of diabetes and its complications. AIM: To evaluate the 10-year incidence of type 2 diabetes in apparently healthy Greek adults. METHODS: In 2001-2002, a random sample of 1514 men (18-87 years old) and 1528 women (18-89 years old) was selected to participate in the ATTICA study. During 2011-2012, the 10-year follow-up was performed. Patients diagnosed with diabetes at baseline (n = 210) and those lost at the 10-year follow-up (n = 1347) were excluded, yielding a final sample of 1485 participants. RESULTS: During the period of investigation, diabetes was diagnosed in 191 cases corresponding to a 12.9% incidence (95%CI: 10.4-15.4), with 13.4% (95%CI: 10.8-16) in men and 12.4% (95%CI: 10.1-14.7) in women. A relative increase was observed in the second half of the 10-year follow-up when age became significant. Multiple logistic regression analysis revealed that age (OR = 1.14, 95%CI: 1.09-1.19), abnormal waist-to-height ratio (OR = 3.27, 95%CI: 1.07-10.0), fasting blood glucose (OR per 1 mg/dl = 0.05, 95%CI: 1.02-1.08), energy intake (OR per 500 kcal = 1.02, 95%CI: 1.01-1.35), and family history of diabetes (OR = 2.8, 95%CI: 1.30-6.03) were the most significant baseline predictors for diabetes, after adjusting for potential confounders. Waist-to-height ratio showed the best explanatory power of all anthropometric variables. Physical activity exerts an effect on risk factors. Being active was found to eliminate the aggravating effect of diabetes family history and fasting blood glucose. CONCLUSIONS: The findings confirm the escalating increase of type 2 diabetes incidence in Greece, which is in line with global trends. A lifestyle change in individuals at risk of developing diabetes towards healthier eating and increased physical activity would be an effective and inexpensive means of reducing diabetes.

The effect of Mediterranean diet on the development of type 2 diabetes mellitus: a meta-analysis of 10 prospective studies and 136,846 participants.

OBJECTIVE: The purpose of this work was to meta-analyze prospective studies that have evaluated the effect of a Mediterranean diet on the development of type 2 diabetes. MATERIALS/METHODS: PubMed, Embase and the Cochrane Central Register of Controlled Trials databases were searched up to 20 November 2013. English language publications were allocated; 17 original research studies (1 clinical trial, 9 prospective and 7 cross-sectional) were identified. Primary analyses were limited to prospective studies and clinical trials, yielding to a sample of 136,846 participants. A systematic review and a random effects meta-analysis were conducted. RESULTS: Higher adherence to the Mediterranean diet was associated with 23% reduced risk of developing type 2 diabetes (combined relative risk for upper versus lowest available centile: 0.77; 95% CI: 0.66, 0.89). Subgroup analyses based on region, health status of participants and number of confounders controlling for, showed similar results. Limitations include variations in Mediterranean diet adherence assessment tools, confounders' adjustment, duration of follow up and number of events with diabetes. CONCLUSIONS: The presented results are of major public health importance, since no consensus exists concerning the best anti-diabetic diet. Mediterranean diet could, if appropriately adjusted to reflect local food availability and individual's needs, constitute a beneficial nutritional choice for the primary prevention of diabetes.

Implementation of a stress management program in outpatients with type 2 diabetes mellitus: a randomized controlled trial.

OBJECTIVE: Although there is scientific evidence that stress adversely affects metabolic control, only a few studies have examined the role of stress management in improving glycemic control in patients with type 2 diabetes mellitus (DM). In this study, we investigated the effect of a relaxation technique on levels of stress and glycemic control. DESIGN: A total of 53 patients with type 2 DM were randomly assigned to undergo either an 8-week stress management program, consisting of 10 min of diaphragmatic breathing and 15 min of progressive muscle relaxation twice per day (n=25, intervention group), or not (n=28, control group). Perceived stress, health locus of control and HbA1c were primary outcomes and were measured before and after intervention. RESULTS: In the intervention group, perceived stress score (PSS) and HbA1c had decreased significantly (P<0.05) by the end of the program. Specifically concerning the PSS, the higher the initial levels of perceived stress the greater the benefit of the intervention. No other significant changes were found. CONCLUSIONS: Our results show a beneficial role of stress management for patients with type 2 DM, as regards both stress levels and glycemic control. It is recommended to consider this type of treatment as an adjunct to conventional therapy. We deem that our study could encourage future studies in this area with larger samples, longer duration and more objective measurements.