Browsing by Autor "Samuel Manzano-Carrasco"

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Adherence to the 24-hour movement guidelines and its correlates among Spanish university students: UNILIFE-M study
(2025) José Francisco López‐Gil; Samuel Manzano-Carrasco; José Adrián Montenegro-Espinosa; María Mendoza-Muñoz; Fiorella Quiroz-Cárdenas; Alejandro Lara-Bocanegra; Aline Josiane Waclawovsky; Débora Tornquist; Andréa Camaz Deslandes; Rodrigo Yáñez‐Sepúlveda
<title>Abstract</title> <bold>Background: </bold>University students are at a critical stage for establishing healthy lifestyle habits, yet little is known about their adherence to integrated 24-hour movement guidelines that include physical activity, sedentary behavior, and sleep. The aim of this study was to examine the prevalence of adherence to the 24-hour movement guidelines and identify sociodemographic, anthropometric and mental or physical health conditions correlates among Spanish university students.<bold> </bold> <bold>Methods: </bold>This cross-sectional analysis included first-year students <italic>from Universidad Loyola Andalucía</italic>(Spain) participating in the UNIversity student’s LIFEstyle behaviors and Mental health (UNILIFE-M) study. Data were self-reported using validated questionnaires. Adherence was defined according to international recommendations for moderate-to-vigorous physical activity (≥150 min/week), screen time (≤3 h/day), and sleep duration (7–9 hour/night). Descriptive statistics, Venn diagrams, and robust logistic regression models were used to assess prevalence and correlates. <bold>Results: </bold>A total of 671 students (median age = 18 years; interquartile range [IQR] 18-19); 50.1% females) were included. Only 25.9% of students met all three 24-hour movement guidelines, while 7.0% met none. Adherence was significantly higher among males (odds ratio [OR] = 1.77; 95% confidence interval [95% CI] 1.21 to 2.59), and lower in older students (≥18 years old; OR = 0.58; 95% CI 0.37 to 0.90), those enrolled in non-health sciences programs (OR = 0.68; 95% CI 0.47 to 1.00); and those with mental health problems (OR = 0.27; 95% CI 0.09 to 0.65).<bold> </bold> <bold>Conclusions: </bold>Adherence to 24-hour movement guidelines is low among Spanish university students, particularly among females, older students, non-health sciences academic disciplines and mental health problems. Personalized interventions targeting high-risk groups are warranted to promote healthy lifestyle behaviors in this population.
Assessing real-world movements using consumer-grade wearable devices: Measuring segment orientations and movement quality
(Cambridge University Press, 2025) Tridiv Swain; Melitta A. McNarry; Samuel Manzano-Carrasco; Kelly A. Mackintosh
In recent years, there has been growing interest regarding the impact of human movement quality on health. However, assessing movement quality outside of laboratories or clinics remains challenging. This study aimed to evaluate the capabilities of consumer-grade wearables to assess movement quality and to consider optimal sensor locations. Twenty-two participants wore Polar Verity Sense magnetic, angular rate, and gravity (MARG) sensors on their chest and both wrists, thighs, and ankles, while performing repeated bodyweight movements. The Madgwick sensor-fusion algorithm was utilized to obtain three-dimensional orientations. Concurrent validity, quantified using the root-mean-square-error (RMSE), was established against a Vicon optical motion capture system following time-synchronization and coordinate-system alignment. The chest sensors demonstrated the highest accuracies overall, with mean RMSE () less than 9.0° across all movements. In contrast, the wrist sensors varied considerably (). Ankle and thigh sensors yielded mixed results, with the ranging from 2.0° to 40.0°. Notably, yaw angles consistently demonstrated higher discrepancies overall, while pitch and roll were relatively more stable. This study highlights the potential of consumer-grade MARG sensors to increase the real-world applicability and accessibility of complex biomechanical models. It also accentuates the requirement for strategic sensor placement and refined calibration and postprocessing methods to ensure accuracy.