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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]

Purpose: Autonomic assessment might be useful in training management. We planned to assess whether oscillatory metrics of RR variability (such as LFnu) would be more efficient than static indices from low order statistics (RR variance) at discriminating laying rest from stand posture, as an analog of a shift to sympathetic dominance.Methods: We studied a large population of elite Olympic athletes: a total of 406 athletes (162 females and 244 males, of similar age 21.7 and 24.4 years) participating to the selection for the upcoming 2016 Olympic games. We employed various methods to extract autonomic indices from RR variability and employed a stepwise statistical approach combining factor and discriminant analysis.Results: We observed that that relative power of oscillatory components from spectral analysis of RR variability (such as LF or HF in nu) and indices from symbolic analysis (particularly 0V) clearly outperform RR variance in discriminating between two physiological conditions (laying rest and stand) related to posture and autonomic activation.Conclusions: In world class Olympic athletes we have shown that a small subset of RR variability indices, related to sympathovagal balance, may be more appropriate than RR variance to assess excitatory sympathetic autonomic responsiveness of the SA node. These findings may have practical implications for the use of RR variability in guiding training and predicting success in competitions. [ABSTRACT FROM AUTHOR]