Physical activity patterns among school children in India.

OBJECTIVE: To assess the prevalence of physical activity and its relation with socio-demographic variables and eating habits among school-aged children in India. METHODS: The study incorporated secondary analysis of anthropometric measurements and questionnaires on lifestyle and dietary habits of 1,680 school children aged between 3 and 11 y, obtained while carrying out the OBEY-AD project. The inventory contained questions about several variables concerning to physical activity, educational background, lifestyles and eating habits for both children and parents. Questions were organized along specific contents, which could be informative topics, picture choices and multiple answers choices. RESULTS: Prevalence of inactivity was 21% and exhibited significant variations between cities. Physical activity was significantly associated to socio-economic status and consumption of fruits and vegetables. No association could be revealed with children's BMI. CONCLUSIONS: Health-promotion interventions aimed at improving healthy lifestyles in Indian children should focus on population strata with low socio-economic status.

An update review on risk factors and scales for prediction of deep sternal wound infections.

Surgical site infections are the most common nosocomial infections in surgical patients. The preventable and the unmodifiable risk factors for deep sternal wound infections (DSWI) have been amply assessed in the literature. The aim of this review was to describe the results of the numerous published studies to describe all the DSWI risk factors and the scales devised to predict SWI, with a view to providing an update on this issue. A comprehensive search of the Medline and Embase databases was performed (considering studies from January 1995 to April 2011); and a manual search was also conducted using references cited in original publications and relevant review articles. There are several risk factors associated with DSWI, which could be classified in four categories as demographic (e.g. sex and age), behavioural (e.g. smoking and obesity), baseline clinical conditions (e.g. diabetes, hypertension and COPD) and surgical operative risk factors (e.g. duration of operation and emergency operation). Six scales for predicting the risk of DSWI are described in the literature: they vary not only in accuracy but also in ease of application and they are applied at different times (some only preoperatively and others also postoperatively). This study provides a broad update on our knowledge of the risk factors for DSWI and the scales for prediction with a view to improving the management of infections at cardiosurgery units.