The public interest of sports at non-profi t sports organizations that are supported by the government

This paper analyses the concept of public interest in sport and the criteria that must be taken into consideration in terms of Government support to clubs and sports associations. The data was collected through semi structured interviews that were applied to nine sports directors with board responsibilities: seven of them from sport clubs and sport associations, and two of them from public administration. The directors pointed out that sport is considered to be of public interest when: it is developed in the concept of “sport for all”, provides health benefi ts and serves as a means of education and social development. Regarding advantages used with public utility status, tax benefi ts and partnerships with the sports system organizations were the most mentioned aspects. Given a better use of fi nancial resources provided by public administration to clubs and associations, sport directors believe that the Government should have a strategy focused on setting priorities and ranking fi nancing criteria for sport. If the government had that strategy, the development of sports results would be much better. The participants also suggest that the Government should conduct an assessment of the social role of sport clubs and associations, according to the public and social interest of sport. In conclusion, sport and physical activity should be considered as public interest activities, provided that: are able to ensure positive effects on health plans and wellness, provide a qualitative and sustainable sport development, improve economic and social development of a population.

Prediction of adult height in girls: the Beunen-MalinaFreitas method

The purpose of this study was to validate and cross-validate the Beunen-Malina-Freitas method for non-invasive prediction of adult height in girls. A sample of 420 girls aged 10–15 years from the Madeira Growth Study were measured at yearly intervals and then 8 years later. Anthropometric dimensions (lengths, breadths, circumferences, and skinfolds) were measured; skeletal age was assessed using the Tanner-Whitehouse 3 method and menarcheal status (present or absent) was recorded. Adult height was measured and predicted using stepwise, forward, and maximum R2 regression techniques. Multiple correlations, mean differences, standard errors of prediction, and error boundaries were calculated. A sample of the Leuven Longitudinal Twin Study was used to cross-validate the regressions. Age-specific coefficients of determination (R2) between predicted and measured adult height varied between 0.57 and 0.96, while standard errors of prediction varied between 1.1 and 3.9 cm. The cross-validation confirmed the validity of the Beunen-Malina-Freitas method in girls aged 12–15 years, but at lower ages the cross-validation was less consistent. We conclude that the Beunen-Malina-Freitas method is valid for the prediction of adult height in girls aged 12–15 years. It is applicable to European populations or populations of European ancestry.