Recent technological advances have changed how people interact, run businesses, learn, and use their free time. The advantages and facilities provided by electronic devices have played a major role. On the other hand, extensive use of such technology also has adverse effects on several aspects of human life (e.g., the development of societal sedentary lifestyles and new addictions). Smartphone dependency is new addiction that primarily affects the young population. The consequences may negatively impact mental and physical health (e.g., lack of attention or local pain). Health professionals rely on self-reported subjective information to assess the dependency level, requiring specialists' opinions to diagnose such a dependency. This study proposes a data-driven prediction model for smartphone dependency based on machine learning techniques using an analytical retrospective case–control approach. Different classification methods were applied, including classical and modern machine learning models. Students from a private university in Cali—Colombia (n = 1228) were tested for (i) smartphone dependency, (ii) musculoskeletal symptoms, and (iii) the Risk Factors Questionnaire. Random forest, logistic regression, and support vector machine-based classifiers exhibited the highest prediction accuracy, 76–77%, for smartphone dependency, estimated through the stratified-k-fold cross-validation technique. Results showed that self-reported information provides insight into predicting smartphone dependency correctly. Such an approach opens doors for future research aiming to include objective measures to increase accuracy and help to reduce the negative consequences of this new addiction form.

Pain is part of the daily life of ballet dancers. To achieve perfection in the dance, techniques based on repetitive movements that overload different parts of the body are used, which generate pain. The purpose of this study is identify coping strategies used by professional ballet dancers to manage chronic pain. A qualitative study was conducted using a phenomenological design with a population of 17 professional dancers from a ballet company in Cali, Colombia. The Chronic Pain Coping Questionnaire (CAD) and a open interview with guiding questions were applied as research instruments. The dancers of the Colombian Ballet Company engage in a physically demanding practice that necessitates continuous movement. The majority of these dancers are under 30 years of age and have been with the company for less than 5 years. Unfortunately, their frequent injuries include sprains, back pain, and disc herniation, often attributed to a lack of strengthening and the imposition of high physical loads. In coping with the pain, the dancers commonly resort to seeking information about their injuries and engaging in self-affirmation of their exceptional abilities. Dancers get used to pain to continue in professional dance companies. Coping with pain involves developing strategies for self-affirmation and motivation to continue in their profession.

In the world, there are more mobile phone lines than people. These numbers have been increasing, especially in university students, due to the academic and social demands of a globalized and interconnected world in social networks, raising concerns about the health effects of mobile device overuse. The goal of this study was to establish the relationship between musculoskeletal symptoms in students at the health department of an institution of higher education and their dependence on mobile devices. An observational, descriptive study in which 334 interviews were presented, of which 244 were selected, corresponding to students with dependence on mobile devices. We find most symptoms in the neck (56.3%), followed by the dorsal region with (49.4%), wrist (42.6%), shoulder (33.9%), and elbow (9.6%). Study correlations were low for the back (Rho: 0.274) and wrist (Rho: 0.200) and very low for the neck (Rho: 0.171) and shoulder (Rho: 0.142). The presence of musculoskeletal symptoms, mainly in the neck, back, and wrist in university students with dependence on mobile devices belonging to the health department associated with academic programs in phonoaudiology, physiotherapy, and medicine, is common; however, the correlation was found to be low between dependency level and pain in the back and wrist and very low between dependency level and pain in the neck. Our results suggest that university wellness programs should focus on the neck, dorsal region of the back, wrist, and shoulder and that contrary to what was previously thought, there is a low correlation between dependence on cell phone use and musculoskeletal symptoms.

Este libro pretende abordar la importancia de realizar procesos evaluativos, que permitan una correlación y análisis clínico considerando la perspectiva del movimiento corporal humano, a partir del examen y la evaluación. Por tanto, una adecuada valoración de la función neuromuscular garantiza la adecuada interacción como elemento inicial planificador y efector del movimiento a diferentes niveles, permitiendo un adecuado diseño y ejecución de programas de rehabilitación neuromuscular, disminución del riesgo de lesiones y el paso a las actividades de la vida diaria y ocupacionales.

Objective: The objective of this study is to investigate the perception of traditional medicine use during gestation processes in the Tacueyo Indigenous Reservation. The aim is to understand how indigenous women in the reservation perceive and utilize this resource during pregnancy, childbirth, and postpartum in the period 2021-2022. Theoretical Framework: This study is relevant in a context of high maternal and perinatal morbidity rates, focusing on ancestral practices to improve adherence to prenatal and postpartum care, contributing to the reduction of maternal mortality. Method: The study was guided by qualitative methodology and an ethnographic approach, using semi-structured interviews with 10 women. Results and Discussion: The results revealed the use of medicinal plants, interculturality as a protective factor, and barriers to accessing effective medical care. Research Implications: The implications of this research highlight the need to strengthen collaboration between traditional health practices and local health institutions within the framework of the Indigenous Own and Intercultural Health System (SISPI). Originality/Value: This study contributes to the literature by highlighting its intercultural approach and the integration of ancestral knowledge with modern public health to improve maternal health outcomes in indigenous communities.

This exploratory study examined segmental biomechanical variables associated with 20 m start performance in 24 juvenile inline speed skaters (14–16 years). Athletes performed three maximal 20 m starts; the best time was recorded with photoelectric timing gates, and the corresponding trial was analyzed from two-dimensional video using Tracker. Segmental kinematics and indirect inertial estimates were derived using De Leva-adjusted anthropometric parameters. Candidate predictors were selected with LASSO, and the complete preprocessing and selection pipeline was evaluated using nested leave-one-out cross-validation. Post-selection ordinary least squares, bootstrap, and Bayesian models were used as secondary analyses of coefficient sensitivity and uncertainty. LASSO retained forearm segmental inertial force estimate, thigh velocity, forearm velocity, thigh angular velocity, and torso angular acceleration. The nested pipeline achieved RMSE = 0.12 s, MAE = 0.08 s, and R²_pred = 0.485. Greater thigh velocity, forearm inertial force estimate, thigh angular velocity, and torso angular acceleration were associated with shorter times, whereas greater forearm velocity was associated with longer times. These findings identify candidate within-sample associations, not stable biomechanical determinants. Because of the small sample size, cross-sectional design, indirect two-dimensional measurements, absent reliability analysis, and lack of external validation, the variables should be used only for hypothesis generation and provisional monitoring.