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.

Comparing the Anthropometrics, Body Composition, and Strength Performance of Male and Female Italian Breaking Athletes: A Pilot Study.

Breaking is a performative art that has recently undergone a process of sportification, developing into an aesthetic sport included in the 2024 Paris Olympic Games. Despite its growing worldwide popularity, there is a lack of research on Breaking. Accordingly, this pilot study's aim was twofold: (a) to provide an initial understanding of the anthropometric measures, body composition data, somatotype profiles, and strength performance of male (B-boys) and female (B-girls) Italian Breakers divided into elite (international) and sub-elite (national) levels and (b) to guide further research on the area, providing the methodological approach for future investigations. A total of 24 B-boys (elite n = 5; sub-elite n = 19) and 9 B-girls (elite n = 3; sub-elite n = 6) were included in this study. Descriptive analyses revealed that B-boys and B-girls displayed low height and weight (1.70 m (63.8 kg) and 1.58 m (54.2 kg), respectively), low levels of body fat percentages (10.3% and 17.6%, respectively), and a balanced mesomorph somatotype (2.28-4.64-2.69 and 2.34-5.16-2.38, respectively), revealing a marked development of muscular mass. Due to the small sample size, Welch's test and correlation analyses did not report any elite vs. sub-elite difference. It was hypothesized that Breakers' morphological profiles result from the selection procedures and training regimens related to Breaking aesthetic, athletic, and physiological demands.

Iron deficiency anaemia prevalence in a population of immigrated women in Italy.

BACKGROUND: Martial deficiency and sideropenic anaemia are the most diffused deficiency pathologies in the world. WHO recommends preventive screening of the new immigrant population. No epidemiological data exist on its prevalence among migrant population in Italy. METHODS: A transversal study was conducted at San Gallicano Hospital in Rome through laboratory screening on 821 migrant women and interviews on a sub-sample of 550 women (including socio-demographic, anamnestic and nutritional information). RESULTS: The complete sub-sample (laboratory results and questionnaire) shows a 20.5% [95% confidence interval (CI) 16.8-24.3] prevalence of anaemia and a 22.7% (95% CI 18.9-26.6) prevalence of sideropenia. Sideropenic anaemia was found in 11.5% (95% CI 8.5-14.4) of cases. Results are similar in the rest of the sample. There is significant association between anaemia and the clinical conditions of haemorrhoids [odds ratio (OR) 3.8; P < 0.000], hypermenorrhoea (OR 3.3; P < 0.000) and metrorrhagia (OR 5.9; P < 0.000). Africans were found to be at highest risk of anaemia (OR 5.5; P < 0.000). Feeding habits have a milder effect. Unemployed and low educated people are more likely to be affected by non-iron deficiency anaemia. CONCLUSION: The observed prevalence of sideropenia and sideropenic anaemia is much greater than what the scientific literature reports for Western populations. Pathologies inducing bleeding and the country of origin (i.e. genetic factors, pre-existing conditions) appear to be associated with anaemia. Nutritional factors are less important because of an adequate nutritional income. Prevention programmes should then aim at screening larger samples for improving the access of migrants to health-care services.

Relationship between Body Composition and Cardiac Autonomic Regulation in a Large Population of Italian Olympic Athletes.

Athletic performance is determined by many factors, such as cardiorespiratory fitness, muscular strength and psychological features, which all interact simultaneously. The large Italian National Olympic Committee database of Olympic athletes offers a unique healthy population to verify the strength of the interplay among a number of major elements of training, including autonomic nervous system (ANS) modulation, biochemical indicators and body composition, in a system medicine approach. This observational, retrospective study involved 583 individuals. As part of the yearly precompetitive examination, cardiac autonomic (heart rate variability), psychological, physical (cycloergometer stress test), biochemical and body composition (BOD POD) evaluations were performed. In subsequent analysis, we first considered the relationship between body composition and single individual variables in a simple correlation matrix, including a multitude of variables; then, Exploratory Factor Analysis (EFA) restricted the information to six latent domains, each combining congruent information in relation to body composition. Finally, we employed a multiple quantile regression model to evaluate possible relationships between ANSIs (index capable of synthetizing ANS regulation) and the latent domains indicated by EFA reflecting body composition. We observed a clear relationship between ANS and body mass composition parameters, as indicated by both bivariate correlations and the quantile regression result of ANSIs versus the latent domain aggregating mainly body composition data expressed in % (p = 0.002). In conclusion, these results suggest that specific training may elicit parallel adaptation of ANS control and body composition. The analysis of Olympic athletes' data allowed us to obtain a better understanding of the complex, multidimensional factors involved in determining sport performance. The latter appears to be determined by the simultaneous interaction not only of cardiorespiratory fitness, muscular strength and psychological features, but also of ANS cardiovascular modulation and body composition.