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Aims: To assess body composition by means of BOD POD in the large cohort of Italian Olympic athletes of many sport disciplines (studied at the same time), and to provide possible reference values for body composition in elite athletes. Methods: 1556 elite athletes, who took part in the selection procedure for the 2016 Rio Olympic Games for the National Italian Olympic Committee (CONI), were retrospectively studied. Body composition was determined using air plethysmography-based BOD POD. Results: We observed that Fat Mass (FM) and Fat-free Mass (FFM) should be considered as two mutually independent domains in elite athletes. By performing Principal Component Analysis, we defined two independent main domains (respectively, representing FM and FFM), which presented different trends according to gender and static or dynamic exercise load. Lastly, we reported possible reference values for FM index and FFM index, respectively, representing the largest contributors to FM domain and FFM domain, and calculated as FM or FFM (kg)/height (m2). Conclusions: Our findings might provide a basis to optimize the practical approach to body composition in athletes, highlighting the importance of considering indicators of fat mass and lean mass "simultaneously" and not specularly, according to different sport disciplines as well. Moreover, these data might contribute to standardize reference values for body composition in elite athletes, with a view to potentially helping to monitor and guide training regimens, prevent related detrimental practices and plan cardiometabolic prevention and rehabilitation programs. [ABSTRACT FROM AUTHOR]

Aim: Given the time spent at work, the workplace represents an ideal setting to implement preventive programs for non-communicable diseases, the major cause of mortality and morbidity in Western and developing countries. We sought to verify if an ecological approach based on corporate culture, employees' education and concrete modifications of workplace environment, offering easy opportunity to assume healthy lifestyle, could be associated with reduced cardiometabolic risk. Methods: The study involved 1089 workers in two multinational companies following different workplace health promotion policies. Company A offered to all employees the opportunity to access a web platform dedicated to general information on health and diseases. Company B implemented an ecological model encompassing company culture, employees' education and concrete modifications of workplace environment, giving to all employees the opportunity to adopt healthy solutions throughout daily living at workplace. Participants volunteered self-reported clinical information using an IT tool. Numbers of Metabolic Syndrome components (MetS) were taken as proxy of cardiometabolic risk. Results: MetS probability obtained via statistical modeling was lower in company B as compared to company A, and absenteeism was also lower in company B. Our study shows that a work environment favoring assumption of healthy lifestyle, as in company B, is associated with a lower percentage of employees with MetS components and lower absenteeism. Moreover, statistical modeling shows that individual probabilities of being without MetS elements, controlling for age and gender, is remarkably higher in company B. Conclusions: Our data suggest that ecological approaches might be useful in worksite prevention policies. [ABSTRACT FROM AUTHOR]

The evidence supporting the importance of a healthy lifestyle (active life, healthy diet, not smoking, and low stress) as a part of programs for primary and secondary prevention of cardiometabolic diseases is strong, compelling, and continuously growing. In this study, we test whether a simple web-based healthy lifestyle index, using self-reports, is related to indices of cardiovascular health and metabolic syndrome and could be employed in large wellness programs intended to promote healthy lifestyle. We studied 411 workers in an Italian multinational factory who were enrolled in a voluntary program consisting of a health checkup and an online questionnaire on lifestyle. These domains were combined into a single simple index. Participants were subdivided into three healthy lifestyle index (HI) groups (red, yellow, and green) ranging from poor to good HI quality (HI from red to green: 41.8 ± 14.6; 75.7 ± 8.5; 93.8 ± 2.2; p < 0.05). The groups differed in indicators of cardiovascular and metabolic health (waist circumference females: 82.1 ± 9.56, 78.9 ± 9.3, 72.7 ± 6.6; males: 95.2 ± 11.7, 90.0 ± 9.5, 85.7 ± 6.1 cm; group difference p < 0.05). Moreover, they differed significantly in the likelihood of having more components of the metabolic syndrome and, conversely, fewer components of the ideal cardiovascular health profile (with red having the worst profile). The red group was also characterized by the highest absenteeism. We report for the first time that a web-based self-reported poor health behavior was significantly associated with clinical and laboratory (partial correlation between HI and high-density cholesterol 0.192; body mass index −0.288; systolic blood pressure −0.130; all p < 0.05) results indicating a negative cardiometabolic profile. [ABSTRACT FROM AUTHOR]

Considering that changes in exercise routines might have relevance in treatment of adolescents with type 1 diabetes mellitus, we sought to assess whether spontaneous modifications to weekly exercise habits might occur in these patients and whether such variations would be accompanied by alterations in autonomic profile. In this observational study, we examined 77 patients (age 15.0 ± 0.6 years.) who in addition to a tailored optimal insulin treatment were invited to perform at least 1 h a day of moderate, aerobic exercise, as suggested by recent guidelines. Patients were studied at baseline (T0) and after 15.8 ± 0.7 months (T1). They were divided into three subgroups according to increased, unchanged and diminished total estimated weekly METs between T0 and T1. Autonomic profile was evaluated by assessing spontaneous baroreflex gain and low-frequency oscillation in arterial pressure, using spectral analysis of RR and systolic arterial pressure time series. Insulin therapy and biochemical data were similar among the 3 groups at T0 and T1, while body mass index standard deviation score was slightly reduced ( p < 0.04) and markers of autonomic performance were improved (alpha index, from 17 ± 1 to 20 ± 2 ms/mmHg, p < 0.002) in the group who increased the amount of exercise (from 1627 ± 250 to 3582 ± 448 METs min wt, p < 0.001). Furthermore, the change in total weekly METs significantly correlates with changes of key indices of autonomic regulation. The favourable autonomic effects of moderate increase in spontaneous exercise load suggest testing more formally this intervention in adolescents with type 1 diabetes. [ABSTRACT FROM AUTHOR]