Exploratory factor analysis of the fear-avoidance beliefs questionnaire in patients with chronic ankle instability

The Effect of Kinesio Taping on Balance and Dynamic Stability in College-Age Recreational Runners with Ankle Instability

(1) Background: Running is one of many sports that have increased in popularity since it can be conducted at any time or anywhere. Ankle instability is a common injury that usually occurs during running and is usually associated with abnormalities in postural stability. Recently, kinesio taping has gained increasing interest as a tool that can be used in rehabilitation, to improve stability, and to help in injury prevention. This study aimed to investigate the effect of Kinesio taping on balance and dynamic stability in recreational runners with ankle instability. (2) Methods: This randomized controlled trial recruited 90 RRs with ankle instability. The participants were randomly divided into three equal groups: a KT group (KTG) who received Kinesio taping on their ankle joints; a mixed group (MG) who received Kinesio taping and exercises; and an exercise group (EG) who received exercises only. Outcome measures (balance and dynamic stability) were assessed before and after the end of an 8-week treatment program using a Biodex balance system and a star excursion balance test, respectively. (3) Results: Within-group comparisons showed statistically significant improvements in most of the outcome values when compared to baseline. Overall stability index was statistically significantly better (with a high effect size) in the MG compared to KTG or EG (p = 0.01, Cohen's d = 1.6, and p < 0.001, Cohen's d = 1.63, respectively). A similar finding was evident in the anteroposterior stability index (p = 0.02, Cohen's d = 0.95, and p < 0.001, Cohen's d = 1.22, respectively). The mediolateral stability index of the KTG was statistically significantly better with a high effect size when compared to MG or EG (p = 0.04, Cohen's d = 0.6, and p < 0.01, Cohen's d = 0.96, respectively). The star excursion balance test values were statistically significant with high effect sizes in the posterior (p = 0.002, Cohen's d = 1.2) and lateral (p < 0.02, Cohen's d = 0.92) directions in the MG compared to KTG and EG. (4) Conclusions: Kinesiotape with exercises is superior to either kinesiotape alone or exercises alone in improving postural stability indices and dynamic stability in recreational runners with ankle instability. Recreational runners with ankle instability should be educated about practicing balance exercises and applying kinesiotape.

Validity and reliability of the questionnaire of academic knowledge of teachers of basic general education

Background: The concern and analysis about the knowledge possessed by teachers of basic general education persists in academic debate and professional practice. It is noteworthy that in the studies consulted, there is no precise evidence that determines with accuracy the configurations of these knowledge factors that function as the basis of the teaching profession. Therefore, the objective of this study is to establish the construct validity and reliability of the questionnaire on the nature or origin of the academic knowledge of teachers of basic general education, adapted from the Pedagogical Content Knowledge (PCK) Competence Model. Methods: A methodological study was established that applies a test to the processes of reliability and internal consistency. The construct validity was performed through (n = 8) expert judges, using Cohen's Kappa. An exploratory factor analysis was performed following the criteria of the Kaiser-Meyer-Olkin Coefficient (KMO), the Bartlett sphericity test and the principal components extraction method in the factor analysis with varimax rotation. The sample consisted of (n = 27) teachers of basic general education of the Ibarra Canton. Results: The results show a reliability analysis for the instrument obtained a Cronbach's alpha (α = 0.901), estimated to be an excellent level. Conclusions: The questionnaire is relevant, valid and reliable, adapting to the needs of teachers of basic general education to determine the nature or origin of the academic knowledge in a fast and reliable manner.

Unsupervised machine learning methods and emerging applications in healthcare

Unsupervised machine learning methods are important analytical tools that can facilitate the analysis and interpretation of high-dimensional data. Unsupervised machine learning methods identify latent patterns and hidden structures in high-dimensional data and can help simplify complex datasets. This article provides an overview of key unsupervised machine learning techniques including K-means clustering, hierarchical clustering, principal component analysis, and factor analysis. With a deeper understanding of these analytical tools, unsupervised machine learning methods can be incorporated into health sciences research to identify novel risk factors, improve prevention strategies, and facilitate delivery of personalized therapies and targeted patient care.Level of evidence: I.

Risk Management of Island Petrochemical Park: Accident Early Warning Model Based on Artificial Neural Network

Island-type petrochemical parks have gradually become the ‘trend’ in establishing new parks because of the security advantages brought by their unique geographical locations. However, due to the frequent occurrence of natural disasters and difficulties in rescue in island-type parks, an early warning model is urgently needed to provide a basis for risk management. Previous research on early warning models of island-type parks seldom considered the particularity. In this study, the early warning indicator system is used as the input parameter to construct the early warning model of an island-type petrochemical park based on the back propagation (BP) neural network, and an actual island-type petrochemical park was used as a case to illustrate the model. Firstly, the safety influencing factors were screened by designing questionnaires and then an early warning indicator system was established. Secondly, particle swarm optimization (PSO) was introduced into the improved BP neural network to optimize the initial weights and thresholds of the neural network. A total of 30 groups of petrochemical park data were taken as samples—26 groups as training samples and 4 groups as test samples. Moreover, the safety status of the petrochemical park was set as the output parameter of the neural network. The comparative analysis shows that the optimized neural network is far superior to the unoptimized neural network in evaluation indicators. Finally, the Zhejiang Petrochemical Co., Ltd., park was used as a case to verify the accuracy of the proposed early warning model. Ultimately, the final output result was 0.8324, which indicates that the safety status of the case park was “safer”. The results show that the BP neural network introduced with PSO can effectively realize early warning, which is an effective model to realize the safety early warning of island-type petrochemical parks.

Health-Related Quality of Life Among Patients With Painful Chronic Ankle Instability

More than half of individuals with chronic ankle instability (CAI) experience lingering pain from a previous injury. However, there is little empirical evidence investigating the role pain has on health-related quality of life (HRQL). The purpose of this cross-sectional study was to compare physical and psychological HRQL between CAI individuals with and without pain. Group comparisons demonstrated that CAI individuals with pain displayed a lower physical and mental HRQL than those without pain. In addition, CAI individuals with pain reported greater injury-related fear. These findings suggest that persistent pain compounds the negative effect that ankle joint instability has on physical and mental HRQL outcomes. Therefore, conservative therapies should consider multimodal approaches rather than focusing on joint stability alone.