Barriers and enablers of physical activity engagement for patients with COPD in primary care

Maria-Christina Kosteli,1 Nicola R Heneghan,1 Carolyn Roskell,1 Sarah E Williams,1 Peymane Adab,2 Andrew P Dickens,2 Alexandra Enocson,2 David A Fitzmaurice,2 Kate Jolly,2 Rachel Jordan,2 Sheila Greenfield,2 Jennifer Cumming1 1School of Sport, Exercise and Rehabilitation Sciences, 2Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK Background: Given that physical activity (PA) has a positive impact on COPD symptoms and prognosis, this study examined the factors that both encourage and limit participation in PA for individuals with COPD in a primary care setting from the perspective of social cognitive theory.Methods: A purposive sample of 26 individuals with a range of COPD severity (age range: 50–89 years; males =15) were recruited from primary care to participate in one of four focus groups. Thematic analysis was undertaken to identify key concepts related to their self-efficacy beliefs.Results: Several barriers and enablers closely related to self-efficacy beliefs and symptom severity were identified. The main barriers were health related (fatigue, mobility problems, breathing issues caused by the weather), psychological (embarrassment, fear, frustration/disappointment), attitudinal (feeling in control of their condition, PA perception, older age perception), and motivational. The main enabling factors were related to motivation (autonomous or controlled), attitudes, self-regulation, and performance accomplishments.Clinical implications: When designing interventions for individuals with COPD, it is important to understand the patient-specific social cognitive influences on PA participation. This information can then inform individually tailored management planning. Keywords: COPD, social cognitive theory, self-efficacy, barriers, enablers, primary car

P-splines quantile regression estimation in varying coefficient models

Quantile regression, as a generalization of median regression, has been widely used in statistical modeling. To allow for analyzing complex data situations, several flexible regression models have been introduced. Among these are the varying coefficient models, that differ from a classical linear regression model by the fact that the regression coefficients are no longer constant but functions that vary with the value taken by another variable, such as for example, time. In this paper, we study quantile regression in varying coefficient models for longitudinal data. The quantile function is modeled as a function of the covariates and the main task is to estimate the unknown regression coefficient functions. We approximate each coefficient function by means of P-splines. Theoretical properties of the estimators, such as rate of convergence and an asymptotic distribution are established. The estimation methodology requests solving an optimization problem that also involves a smoothing parameter. For a special case the optimization problem can be transformed into a linear programming problem for which then a Frisch–Newton interior point method is used, leading to a computationally fast and efficient procedure. Several data-driven choices of the smoothing parameters are briefly discussed, and their performances are illustrated in a simulation study. Some real data analysis demonstrates the use of the developed method.The authors are grateful to the Editor, Associate Editor and the referees for their very valuable comments on a first version of the paper. This research is supported by the IAP Research Network P7/06 of the Belgian State (Belgian Science Policy), and the projects GOA/07/04 and GOA/12/014 of the Research Fund of the KU Leuven.B-splines; longitudinal data; P-splines; quantile regression; varying coefficient model

Direct solvothermal synthesis of early transition metal nitrides

Solvothermal reactions of TaCl5 with LiNH2 in benzene result in nanocrystalline Ta3N5 at 500 or 550 °C. The 25 nm Ta3N5 particles have a band gap of 2.08?2.10 eV. The same reactions in mesitylene resulted in a higher crystallization temperature and large amounts of carbon incorporation due to solvent decomposition. Reactions of Ta(NMe2)5 with LiNH2 under the same conditions resulted in TaN. Rocksalt-type MN phases are obtained for Zr, Hf, or Nb when their chlorides (ZrCl4, HfCl4, or NbCl5) or dialkylamides (M(NEtMe)4, M = Zr, Hf) are reacted with LiNH2 under similar conditions. With the amides, there is some evidence for nitrogen-rich compositions (HfN>1), and carbon is incorporated into the products through pyrolysis of the dialkylamide groups