Body composition assessment in a large cohort of Olympic athletes with different training loads: possible reference values for fat mass and fat-free mass domains.

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.

Benchmarking Heart Rate Variability to Overcome Sex-Related Bias.

Since the seminal studies by Sayers (Ergonomics 16:17-32, 1973) and Akselrod et al. (Science 213:220-222, 1981) a few decades ago, it became clear that beat-by-beat oscillations in RR interval length (i.e. heart-rate variability [HRV]) contain information on underlying neural-control mechanisms based on the instantaneous balance between parasympathetic and sympathetic innervation. Over the years, the number of studies addressing HRV has increased markedly and now outnumbers 23,000. Despite such a large interest, there is still a continuing debate about interpretation of indices produced by computer analysis of HRV.The main part of studies relies on spectral techniques to extract parameters that are linked to hidden information. The general idea is that these proxies of autonomic regulation can be useful to clinical applications in various conditions in which autonomic dysregulation may play a role. There are, however, serious shortcomings related to algorithms, interpretation, and the hidden value of individual indices. In particular, it appears that specific training is necessary to interpret the hidden informational value of HRV. This technical complexity represents a severe barrier to large-scale clinical applications. Moreover, important differences in HRV separate the sexes, and age plays an additional confounding role.We present here a preliminary application of a novel unitary index of RR variability (Autonomic Nervous System Index of cardiac regulation) capable of providing information on the performance of autonomic regulation using a percentile rank position as projected on a large benchmark population. A summary of the underlying sympatho-vagal model is also presented.

A simple healthy lifestyle index as a proxy of wellness: a proof of concept.

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.

On site assessment of cardiac function and neural regulation in amateur half marathon runners.

OBJECTIVE: Strenuous exercise variably modifies cardiovascular function. Only few data are available on intermediate levels of effort. We therefore planned a study in order to address the hypothesis that a half marathon distance would result in transient changes of cardiac mechanics, neural regulation and biochemical profile suggestive of a complex, integrated adaptation. METHODS: We enrolled 35 amateur athletes (42±7 years). Supine and standing heart rate variability and a complete echocardiographic evaluation were assessed on site after the completion of a half marathon (postrace) and about 1 month after (baseline). Biochemical tests were also measured postrace. RESULTS: Compared to baseline, the postrace left ventricular end-diastolic volume was smaller, peak velocity of E wave was lower, peak velocity of A wave higher, and accordingly the E/A ratio lower. The postrace heart and respiratory rate were higher and variance of RR interval lower, together with a clear shift towards a sympathetic predominance in supine position and a preserved response to orthostasis. At baseline, athletes were characterised by a lower, although still predominant, sympathetic drive with a preserved physiological response to standing. CONCLUSIONS: Immediately after a half marathon there are clear marks that an elevated sympathetic cardiac drive outlasts the performance, together with decreased left ventricular diastolic volumes and slight modifications of the left ventricular filling pattern without additional signs of diastolic dysfunction or indices of transient left or right ventricular systolic abnormalities. Furthermore, no biochemical indices of any permanent cardiac damage were found.

Cardiovascular risk assessment in children: role of physical activity, family history and parental smoking on BMI and blood pressure.

OBJECTIVE: Aim of the study was to assess the role of family history, physical activity and parental smoking in the prediction of BMI, SBP and hypertension risk in children. PARTICIPANTS AND METHODS: In a paediatric primary care setting, a sample of 1310 children aged 5-14 years was systematically selected by 48 family paediatricians in northern Italy. BMI, waist circumference-to-height ratio (WtHr), SBP and DBP were measured and the information on the presence of small birth weight for gestational age (SGA) and early adiposity rebound (EAR) was collected. Data concerning exercise, video time, family history for cardiovascular diseases and parental smoking were derived from parental interview. Data were collected using an 'ad hoc designed' electronic sheet available online. RESULTS: Multiple linear regression showed that the presence of EAR, low exercise (<2 h/week), high video time (>2  h/day TV/videogames/computer) and parental smoking were associated to higher BMI (z-score; P < 0.005). Age, BMI (z-score), WtHr, presence of SGA, low exercise, high video time and family history of cardiovascular diseases were associated to SBP values (P < 0.03). Logistic regression analysis showed that factors related to risk of hypertension and prehypertension were BMI (z-score; odds ratio, OR 2.63; 95% confidence interval, CI 2.12-3.28), WtHr (OR 1.13; 95% CI 1.10-3.28) and low exercise (OR 1.58; 95% CI 1.12-2.24; P <0.01). CONCLUSION: Our study demonstrates that a simple tool like a cardiovascular multi-item sheet can provide useful information to paediatricians for child health. Physical exercise plays a pivotal role in obesity prevention and protection from hypertension risk.

Health promotion in the workplace: assessing stress and lifestyle with an intranet tool.

BACKGROUND: Chronic noncommunicable conditions, particularly cardiovascular and metabolic diseases, are the major causes of death and morbidity in both industrialized and low- to middle-income countries. Recent epidemiological investigations suggest that management of lifestyle factors, such as stress and lack of physical activity, could have an important value in cardiometabolic conditions, while information technology tools could play a significant facilitatory role. OBJECTIVES: The objective of our study was to verify the feasibility of using a private website, directed to the workers of a major Italian company, to describe their health profile and lifestyle and work habits using an ad hoc self-administered questionnaire. METHODS: We administered anonymous multiple choice Web-based questionnaires to 945 participants (683 completed the task) as part of an ongoing health promotion program in a multinational company. Qualitative and quantitative data were synthesized with nonlinear principal component analysis to construct indicators (ie, variables) for stress, control, and lifestyle domains. Considering in addition absenteeism, the Calinski-Harabasz statistic and cluster analysis jointly differentiated seven clusters, which displayed different distributions of standardized classification variables. The final step consisted in assessing the relationship of the resulting seven subject typologies with personal data, illnesses, and metabolic syndrome status, carried out for the most part with descriptive methods. RESULTS: Statistical analyses singled out two not-overlapping domains of stress and control, as well as three not-overlapping domains of physical activity, smoking, and alcohol habits. The centroids of the seven clusters generated by the procedure were significantly (P < .001) different considering all possible 21 comparisons between couples of groups. Percentage distributions of variables describing personal information (gender, age group, work category, illness status, or metabolic syndrome) within participant typologies show some noteworthy findings: females, workers aged 35-44 years, junior white collar workers, and respondents reporting illness were more prevalent in the stress group than in the overall studied population; preclinical metabolic syndrome status was more prevalent in the group with higher alcohol consumption. Absentees reported more illness. CONCLUSIONS: The present Intranet-based study shows the potential of applying diverse statistical techniques to deal jointly with qualitative and quantitative self-reported data. The resulting formal description of subject typologies and their relationship with personal characteristics might provide a convenient tool for supporting health promotion in the work environment.

Multivariate decomposition of arterial blood pressure variability for the assessment of arterial control of circulation.

In order to analyze the information carried by arterial blood pressure (ABP) variability, a multivariate parametric model of interactions involving systolic ABP (SAP), diastolic ABP (DAP), pulse pressure (PP), heart period (HP), and respiration is proposed. The model defines SAP as sum of the preceding DAP and PP values; DAP model accounts for arterial baroreflex, diastolic runoff; PP reflects changes in stroke volume related to respiration and HP, afterload; equation residuals reveal other vascular and cardiac output modulations. The model was applied to data from nine young volunteers (aged 29 +/- 6 years) during supine cycling at 10%, 20%, and 30% of their maximum effort. Significant basal values and changes across the epochs of the experiment were found in all hemodynamic parameters describing fast, beat-by-beat responses; in SAP and PP total power, DAP low- and high-frequency power (LF, HF), PP very low frequency (VLF), and LF and HF power. A primary role of vascular control through DAP and PP was emphasized by the considered feedbacks and the model residuals. The model proved to be able to assess beat-by-beat cardiovascular interactions and offer a comprehensive view of arterial tree control.