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Background and Aims: Various bio-psychological mechanisms underlying the association between mental health problems and metabolic syndrome remain unknown. We investigated the role of irrational beliefs in conjunction with anxiety, depression and hostility in the 10-year metabolic syndrome (MetS) incidence, and the effect of biochemical and socio-behavioral factors on the aforementioned associations., Methods and Results: ATTICA is a prospective, cohort study (2002-2012). The sample included 591 participants [51.3% men (aged 41.5 ± 10 years) and 48.7% women (aged 37.5 ± 11.5 years)], free of MetS at baseline. Detailed biochemical, clinical, and lifestyle evaluations were performed, while participants' irrational beliefs, anxiety, depression and hostility were assessed using the Irrational Beliefs Inventory, the Spielberger State-Trait Anxiety Inventory, the Zung Self-Rating Depression Scale and the Hostility and Direction of Hostility Questionnaire, respectively. Multiple logistic regression was applied to estimate the odds ratio (OR) of developing MetS and to control for confounders, as well as stratified logistic regression to detect moderator effects. High irrational beliefs were associated with 1.5-times higher odds of developing MetS than low irrational beliefs. Especially, participants with high irrational beliefs and high anxiety were 96% more likely to develop MetS, compared with those with low irrational beliefs and low or high anxiety (OR = 1.96; 95% CI = 1.01, 3.80)., Conclusion: The findings of the study underline the important role of irrational beliefs and anxiety in the development of MetS and the need to build new holistic approaches focused on the primary prevention of both mental health and MetS., (Copyright © 2022 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Background: In recent decades, the relationship between emotional disorders (i.e., depression and anxiety) and alterations in physiological functions (i.e., inflammation or metabolism) have been well supported. However, studies on a symptom-based approach have provided mixed results. Our study aims to gain insight into how subclinical statuses, featured by elevated depressive and/or anxious symptoms, may influence immunometabolic alterations in the concurrent relationship; and the development of metabolic diseases at 10-year follow-up: diabetes, hypertension and hypercholesterolemia. Methods: Data from 758 Greek adults [394 men (aged 41 ± 10 years) and 364 women (aged 37 ± 12 years)] were used. Four groups were created according to the levels of depressive and anxiety symptoms: (1) control group (CG), (2) depressive group (DG), (3) anxiety group (AG) and (4) depressive and anxiety group (DAG). Multi-indicator multi-causes (MIMIC) modeling was used to estimate metabolic function and inflammatory response scores, on a wide selection of blood biomarkers. Finally, a binary logistic regression was carried out to study the influence of symptoms on the development of the aforementioned metabolic diseases on a 10-year follow-up. Results: Group membership was not associated with metabolic function score. Conversely, DAG membership was related with higher inflammatory response score (B = 0.20, CI95 = 0.01, 0.40), with respect to the CG (p < 0.05). Both age and sex were significant variables in the calculation of both scores. Regarding disease at 10-year follow-up effect, risk of developing diabetes, hypertension and hypercholesterolemia was associated with age and socioeconomic status. Moreover, DG membership was significant for diabetes risk (OR = 2.08, CI95 = 1.00, 4.22) and DAG for hypercholesterolemia (OR = 1.68, CI95 = 1.16, 2.43). Limitations: Data on anti-inflammatory drugs and psychopharmacological medication were not collected in this study.Conclusions: Elevated symptoms of depression and anxiety accounts for inflammatory alterations at concurrent relationship and a higher risk of 10-year follow-up metabolic diseases. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]