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Low body mass index (BMI) z score is commonly used to define undernutrition, but faltering growth allows for a complementary dynamic assessment of nutritional status. We studied the prevalence of undernutrition and faltering growth at admission in the pediatric intensive care (PICU) setting and their impacts on outcome. All (685) consecutive children (aged 0 to 18 years old) admitted in a single-center PICU over a 1-year period were prospectively enrolled. Nutritional status assessment was based on anthropometric measurements performed at admission and collected from medical files. Undernutrition was considered when z score BMI for age was < - 2SD. Faltering growth was considered when the weight for age curve presented a deceleration of > - 1 z score in the previous 3 months. Undernutrition was diagnosed in 13% of children enrolled, and faltering growth in 13.7% mostly in children with a normal BMI. Faltering growth was significantly associated with a history of underlying chronic disease, and independently with extended length of PICU stay in a multivariate analysis.Conclusion: Assessment of nutritional status in critically ill children should include both undernutrition and faltering growth. This study highlights that faltering growth is independently associated with suboptimal outcome in PICU. What is Known: • Malnutrition, defined according to BMI-for-age z score, is correlated with poor outcome in the critically ill child. • In this setting, nutritional assessment should consist not only of a static assessment based on BMI-for-age z score but also of a dynamic assessment to identify recent faltering growth. What is New: • Critically ill children frequently present with faltering growth at admission. • Faltering growth is a newly identified independent associated factor of suboptimal outcome in this setting (extended length of stay). [ABSTRACT FROM AUTHOR]

Background: Head and neck cancer (HNC) risk is elevated among lean people and reduced among overweight or obese people in some studies; however, it is unknown whether these associations differ for certain subgroups or are influenced by residual confounding from the effects of alcohol and tobacco use or by other sources of biases.Methods: We pooled data from 17 case-control studies including 12 716 cases and the 17 438 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for associations between body mass index (BMI) at different ages and HNC risk, adjusted for age, sex, centre, race, education, tobacco smoking and alcohol consumption.Results: Adjusted ORs (95% CIs) were elevated for people with BMI at reference (date of diagnosis for cases and date of selection for controls) < or =18.5 kg/m(2) (2.13, 1.75-2.58) and reduced for BMI >25.0-30.0 kg/m(2) (0.52, 0.44-0.60) and BMI > or =30 kg/m(2) (0.43, 0.33-0.57), compared with BMI >18.5-25.0 kg/m(2). These associations did not differ by age, sex, tumour site or control source. Although the increased risk among people with BMI < or =18.5 kg/m(2) was not modified by tobacco smoking or alcohol drinking, the inverse association for people with BMI > 25 kg/m(2) was present only in smokers and drinkers.Conclusions: In our large pooled analysis, leanness was associated with increased HNC risk regardless of smoking and drinking status, although reverse causality cannot be excluded. The reduced risk among overweight or obese people may indicate body size is a modifier of the risk associated with smoking and drinking. Further clarification may be provided by analyses of prospective cohort and mechanistic studies. [ABSTRACT FROM AUTHOR]