2 resultados para Multiple regression
em Scielo España
Resumo:
Objectives: To explore whether an association exists between health care professionals (HCPs) asthma knowledge and inhaler technique demonstration skills. Methods: HCPs asthma knowledge and inhaler technique demonstration skills were assessed at baseline at an inter-professional educational workshop focusing on asthma medication use. Asthma knowledge was assessed via a published questionnaire. Correct inhaler technique for the three inhalers, the Accuhaler, Turbuhaler and pressurized Metered Dose Inhaler (pMDI) was assessed using published checklists. Results: Two hundred HCPs agreed to participate: 10 specialists (medical doctors specialized in respiratory diseases) (5%), 46 general practitioners (23%), 79 pharmacists (39%), 15 pharmacists assistants (8%), 40 nurses (20%) and 10 respiratory therapists (5%). Backwards stepwise multiple regression conducted to determine predictors of HCPs inhaler technique, showed that out of many independent variables (asthma knowledge score, profession, age, gender, place of work, years in practice and previous personal use of the study inhaler/s), asthma knowledge score was the only variable showing significant association with inhaler technique (R²=0.162, p<0.001). Conclusion: This study revealed significant associations between asthma knowledge and inhaler technique scores for all HCPs. Providing inter-professional workshops for all HCPs involved integrating education on asthma knowledge and practice of inhaler technique skills are looked-for.
Resumo:
Background: The different body components may contribute to the development of insulin resistance and type 2 diabetes mellitus. The aim of the present study was to examine the association of fat mass and fat free mass indices with markers of insulin resistance, independently of each other and giving, at the same time, gender-specific information in a wide cohort of European adolescents. Methods: A cross-sectional study in a school setting was conducted in 925 (430 males) adolescents (14.9 ± 1.2 years). Weight, height, anthropometric, bioimpedance and blood parameters were measured. Indices for fat mass and fat free mass, and homeostatic model assessment (HOMA) were calculated. Multiple regression analyses were performed adjusting for several confounders including fat free mass and fat mass when possible. Results: Indices of fat mass were positively associated with HOMA (all p < 0.01) after adjusting for all the confounders including fat free mass indices, in both sexes. Fat free mass indices were associated with HOMA, in both males and females, after adjusting for center, pubertal status, socioeconomic status and cardiorespiratory fitness, but the associations disappear when including fat mass indices in the adjustment's model. Conclusion: Fat mass indices derived from different methods are positively associated with insulin resistance independently of several confounders including fat free mass indices. In addition, the relationship of fat free mass with insulin resistance is influenced by the amount of fat mass in European adolescents. Nevertheless, future studies should focus not only on the role of fat mass, but also on other body components such as fat free mass because its role could vary depending of the level and distribution of fat mass.