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Rouse Emborg posted an update 6 months ago
Treatment with mechanical ventilation is associated with chronic lung disease and poor neurologic outcomes in very premature neonates. Surfactant replacement in patients with respiratory distress syndrome reduces need for mechanical ventilation and may be most beneficial when performed early.
To evaluate the association between oral health conditions and academic performance and absenteeism in university students.
This cross-sectional study was carried out on a comprehensive sample of 1865 freshman students from the Federal University of Pelotas/Southern Brazil in 2017. A self-administered questionnaire was applied in the classroom, inquiring about socioeconomic, demographic, psychological, academic characteristics and oral conditions (tooth loss, self-reported oral health and toothache). For the dependent variables, academic performance was evaluated by the question ‘How would you describe your academic performance?’ while absenteeism was assessed with the question ‘In the last six months, have you missed some class for dental reasons?’. Multivariable analyses used hierarchical Poisson regression with backward selection.
The prevalence of low academic performance was 38.6% and absenteeism due to dental reasons 6.2%. The prevalence of toothache and poor self-perceived oral health was 28% and 20%, respectively. Multivariable analysis found low academic performance to be more prevalent in students with poor self-perceived oral health (PR 1.46; 95% CI 1.22-1.77), and absenteeism to be almost six times more prevalent (PR 5.85; 95% CI 3.84-8.90) in students reporting toothache.
Poor oral health is associated with both poor academic performance and absenteeism in university students.
Poor oral health is associated with both poor academic performance and absenteeism in university students.Matching exercise behavior to musical beats has been shown to favorably affect repetitive endurance tasks. In this study, our aim was to explore the role of spontaneous versus instructed entrainment, focusing on self-paced exercise of healthy, recreational runners. EKI-785 For three 4-min running tasks, 33 recreational participants were either running in silence or with music; when running with music, either no instructions were given to entrain to the music, or participants were instructed to match their running cadence with the tempo of the music. The results indicated that less entrainment occurred when no instruction to match the exercise with the musical tempo was provided. In addition, similar to the condition without music, lower speeds and shorter step lengths were observed when runners were instructed to match their running behavior to the musical tempo when compared with the condition without such instruction. Our findings demonstrate the impact of instruction on running performance and stress the importance of intention to entrain running behavior to musical beats.To ensure that a study can properly address its research aims, the sample size and power must be determined appropriately. Covariate adjustment via regression modeling permits more precise estimation of the effect of a primary variable of interest at the expense of increased complexity in sample size/power calculation. The presence of correlation between the main variable and other covariates, commonly seen in observational studies and non-randomized clinical trials, further complicates this process. Though sample size and power specification methods have been obtained to accommodate specific covariate distributions and models, most existing approaches rely on either simple approximations lacking theoretical support or complex procedures that are difficult to apply at the design stage. The current literature lacks a general, coherent theory applicable to a broader class of regression models and covariate distributions. We introduce succinct formulas for sample size and power determination with the generalized linear, Cox, and Fine-Gray models that account for correlation between a main effect and other covariates. Extensive simulations demonstrate that this method produces studies that are appropriately sized to meet their type I error rate and power specifications, particularly offering accurate sample size/power estimation in the presence of correlated covariates.
To gain more insight into child and environmental factors that influence gross motor development (GMD) of healthy infants from birth until reaching the milestone of independent walking, based on longitudinal research.
A systematic search was conducted using Scopus, PsycINFO, MEDLINE and CINAHL to identify studies from inception to February 2020. Studies that investigated the association between child or environmental factors and infant GMD using longitudinal measurements of infant GMD were eligible. Two independent reviewers extracted key information and assessed risk of bias of the selected studies, using the Quality in Prognostic Studies tool (QUIPS). Strength of evidence (strong, moderate, limited, conflicting, no evidence) for the factors identified was described according to a previously established classification.
In 36 studies, six child and 11 environmental factors were identified. Five studies were categorized as having low risk of bias. Strong evidence was found for the association between bir), and one environmental factor (sleeping position). For the other factors identified in this review, insufficient evidence for an association with GMD was found. For those factors that were examined in only one longitudinal study, and are therefore classified as having limited evidence, more research would be needed to reach a conclusion.
The dissemination and uptake of scientific findings is of critical importance. While broader research suggests that an article’s Altmetric score may predict subsequent citation scores for scientific manuscripts, the potential relationship between online dissemination and the broader scientific uptake of findings has not been explored in eating disorder research.
We identified 310 manuscripts published between 2017 and 2018 in the International Journal of Eating Disorders, and assessed (a) Altmetric scores, (b) the composition of Altmetric scores (i.e., Facebook posts, Twitter posts), and (c) overall citation scores.
Higher Altmetric scores were associated with higher citation scores. Multivariate analysis of separate Altmetric components indicated a higher number of Facebook mentions was uniquely associated with higher citation scores.
Altmetric scores may offer a viable and relatively rapid metric of the likely uptake and impact of manuscripts. Ultimately, these findings represent preliminary evidence of the benefits of widespread dissemination of eating disorder research beyond traditional academic methods.
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