BackgroundEducational institutions play an important role in encouraging student engagement, being necessary to know how engaged are students at university and if this factor is involved in student success point and followed.To explore the association between academic engagement and achievement.MethodsCross-sectional study. The sample consisted of 304 students of Health Sciences. They were asked to fill out an on-line questionnaire. Academic achievements were calculated using three types of measurement.ResultsPositive correlations were found in all cases. Grade point average was the academic rate most strongly associated with engagement dimensions and this association is different for male and female students. The independent variables could explain between 18.9 and 23.9% of the variance (p < 0.05) in the population of university students being analyzed.ConclusionsEngagement has been shown to be one of the many factors, which are positively involved, in the academic achievements of college students.

BackgroundThe capacity to diagnosys, quantify and evaluate movement beyond the general confines of a clinical environment under effectiveness conditions may alleviate rampant strain on limited, expensive and highly specialized medical resources. An iPhone 4® mounted a three dimensional accelerometer subsystem with highly robust software applications. The present study aimed to evaluate the reliability and concurrent criterion-related validity of the accelerations with an iPhone 4® in an Extended Timed Get Up and Go test. Extended Timed Get Up and Go is a clinical test with that the patient get up from the chair and walking ten meters, turn and coming back to the chair.MethodsA repeated measure, cross-sectional, analytical study. Test-retest reliability of the kinematic measurements of the iPhone 4® compared with a standard validated laboratory device. We calculated the Coefficient of Multiple Correlation between the two sensors acceleration signal of each subject, in each sub-stage, in each of the three Extended Timed Get Up and Go test trials. To investigate statistical agreement between the two sensors we used the Bland-Altman method.ResultsWith respect to the analysis of the correlation data in the present work, the Coefficient of Multiple Correlation of the five subjects in their triplicated trials were as follows: in sub-phase Sit to Stand the ranged between r = 0.991 to 0.842; in Gait Go, r = 0.967 to 0.852; in Turn, 0.979 to 0.798; in Gait Come, 0.964 to 0.887; and in Turn to Stand to Sit, 0.992 to 0.877. All the correlations between the sensors were significant (p < 0.001). The Bland-Altman plots obtained showed a solid tendency to stay at close to zero, especially on the y and x-axes, during the five phases of the Extended Timed Get Up and Go test.ConclusionsThe inertial sensor mounted in the iPhone 4® is sufficiently reliable and accurate to evaluate and identify the kinematic patterns in an Extended Timed Get and Go test. While analysis and interpretation of 3D kinematics data continue to be dauntingly complex, the iPhone 4® makes the task of acquiring the data relatively inexpensive and easy to use.

This study has shown some effectiveness of Basic Body Awareness Therapy in improving some symptoms in outpatients with eating disorders. Further studies should include larger samples, double-blinded and placebo methodologies, and should focus on questions such as which eating disorder diagnoses benefit most from physical therapy.

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