Dr. Ulloa-Diaz, David

2021, Barboza-Gonzalez, Paola, Dr. Ulloa-Diaz, David, Reyes-Ferrada, Waleska, Chirosa-Ríos, Luis, Chirosa-Ríos, Ignacio, Martínez-García, Darío, Jerez-Mayorga, Daniel, Rodríguez-Perea, Ángela

Purpose: This study aimed to examine the reliability of trunk extensor strength assessment with a functional electromechanical dynamometer (FEMD). Methods: Thirty-one men performed strength assessment at different velocities (V) (V1 = 0.15 m·s−1, V2 = 0.30 m·s−1, V3 = 0.45 m·s−1) and range of movement (R) (R1 = 25% cm; R2 = 50% cm), and isometric contraction at 90º. Reliability was obtained through the intraclass correlation coefficient (ICC), typical error (TE), and coefficient of variation (CV). Results: The absolute reliability provided stable repeatability of the average eccentric strength in the V1R1 condition (CV = 9.52%) and the maximum eccentric strength in V1R1 (CV = 9.63%) and V2R2 (CV = 9.66%). The relative reliability of the trunk extensor’s average strength was good (ICC = 0.77–0.83) for concentric and good (ICC = 0.78–0.85) and moderate (ICC = 0.67–0.74) for eccentric contraction. Also, good (ICC = 0.77–0.81) and moderate (ICC = 0.55–0.74) reliability of the maximum strength were obtained for concentric and eccentric contraction. The most reliable manifestation to evaluate the concentric (CV = 11.33%) and eccentric (CV = 9.52%) strength was the average strength in the V1R1 condition and the maximum strength (CV = 10.29%) to isometric assessment. The average concentric strength in the V2R2 condition (r = 0.69) and the maximum eccentric strength in the V1R1 condition (r = 0.65) were the best related to the maximum isometric strength. Conclusions: FEMD is a highly reliable device to evaluate trunk extensors strength.

2020, Guede Rojas, Francisco, Jerez Mayorga, Daniel, Ulloa-Diaz, David, Soto Martínez, Adolfo, Ramírez Campillo, Rodrigo, Barboza González, Paola, Angarita Dávila, Lissé

Background: The functional fitness of older people may be associated with their nutritional status. Aim: To assess the association between of anthropometric measures with functional fitness in older people. Material and Methods: Cross-sectional study conducted in 75 participants aged 65 to 89 years. Body mass index (BMI), waist-to-height ratio (WHtR), fat mass (FM) and skeletal muscle mass index (SMI) were calculated from anthropometric measures. The functional fitness was determined using the Senior Fitness Test battery. Results: BMI and FM indicated obesity, and WHtR indicated cardiometabolic risk in 49%, 55% and 83% of participants, respectively. SMI indicated a low muscle mass in 91% of females. Performance standards of chair stand, arm curl, 2-min step test and 8-foot up-and-go tests were met in 1%, 8%, 1% and 89% of participants, respectively. Significant negative correlations were found between 2-min step test and BMI, WHtR and FM (r = −0.26, −0.31 and −0.48 respectively). Back scratch had a negative correlation with BMI (r = −0.23) and SMI (rho = −0.28). Significant positive correlations were found between 8-foot up-and-go, WHtR (rho = 0.28) and FM (rho = 0.23), and between 2-min step test and SMI (rho = 0.28). The coefficient of determination (R2) between 2-min step test with BMI, WHtR and FM were 0.05, 0.08 and 0.22, respectively, while the R2 between back scratch and BMI was 0.04. Multiple regression models indicated that FM affected the 2-min step test independently of BMI and WHtR (adjusted R2 = 0.22), however age and sex negatively influenced these associations. Conclusions: Functional fitness of older adults is influenced by nutritional anthropometric measures, particularly BMI, WHtR and FM for aerobic capacity, and BMI for upper limb flexibility.

2017, Dr. Ulloa-Diaz, David, Guede-Rojas, Francisco, Javier-Chirosa, Luis, Fuentealba, Sergio, Vergara, César, Salazar, Sergio, Márquez, Héctor, Barboza, Paola

Introduction: Anthropometry and functional fitness (FF) are fundamental aspects for functional independence conservation of older adults (OA). However, little has been investigated in chilean OA. Objective: To analyze anthropometric and FF characteristics of non-disabled OA. Methods: One hundred and sixteen subjects participated in the study. It was determined the prevalence of weight categories (Body Mass Index [BMI]) and cardiometabolic risk (CMR) (Waist Circumference [WC], Waist-Hip Ratio [WHR] and Waist-to-Height ratio [WHtR]). Additionally, "under the norm" physical performance and performance standards (Senior Fitness Test Battery [SFT]). Anthropometric and FF differences were analyzed according sex and age categories. Results: A total of 63.8% and 73.5% of men and women respectively were overweight. The highest prevalence of CMR was obtained through WHtR and the tests with the highest prevalence of low performance were 2-minute step Test and Back scratch Test. The performance standard was reached in 29.7% and 17.3%, in men and women respectively. Men presented greater height, WHR, strength and aerobic capacity. Women had greater hip circumference, BMI, WHtR and flexibility. These results tends to be maintained in the analyzes according age categories. Conclusions: The studied sample presented a high prevalence of overweight, CMR and low physical performance especially in women. Due its low cost and complexity, it is proposed that integral evaluation of anthropometric and FF parameters should be implemented in primary care programs aimed to preserving functionality of OA.

2019, García-Ramos, Amador, Barboza González, Paola, Ulloa-Diaz, David, Rodriguez Perea, Angela, Martinez Garcia, Darío, Guede Rojas, Francisco, Hinojosa Riveros, Hans, Chirosa Ríos, Luis Javier, Cuevas-Aburto, Jesualdo, Janicijevic, Danica, Weakley, Jonathon

This study examined the reliability and validity of three methods of estimating the one-repetition maximum (1RM) during the free-weight prone bench pull exercise. Twenty-six men (22 rowers and four weightlifters) performed an incremental loading test until reaching their 1RM, followed by a set of repetitions-to-failure. Eighteen participants were re-tested to conduct the reliability analysis. The 1RM was estimated through the lifts-to-failure equations proposed by Lombardi and O'Connor, general load-velocity (L-V) relationships proposed by Sánchez-Medina and Loturco and the individual L-V relationships modelled using four (multiple-point method) or only two loads (two-point method). The direct method provided the highest reliability (coefficient of variation [CV] = 2.45% and intraclass correlation coefficient [ICC] = 0.97), followed by the Lombardi's equation (CV = 3.44% and ICC = 0.94), and no meaningful differences were observed between the remaining methods (CV range = 4.95-6.89% and ICC range = 0.81-0.91). The lifts-to-failure equations overestimated the 1RM (3.43-4.08%), the general L-V relationship proposed by Sánchez-Medina underestimated the 1RM (-3.77%), and no significant differences were observed for the remaining prediction methods (-0.40-0.86%). The individual L-V relationship could be recommended as the most accurate method for predicting the 1RM during the free-weight prone bench pull exercise.

2018, Ávila-Moreno, Francisco Manuel, Chirosa Ríos, Luis Javier, Ureña-Espá, Aurelio, Lozano-Jarque, Demetrio, Ulloa-Diaz, David

The objectives of this revision were to identify game indicators, the references for evaluating tactical efficiency, and the types of data analysis used in invasion team sports for the analysis of tactical performance. A search of the principal electronic databases was carried out, the procedure was adjusted to the PRISMA-P 2015 protocol, and 62 non-experimental published articles were obtained from the years 2000–2016. The results showed the complimentary use of diverse types of indicators and the frequent elaboration of instruments ad hoc. The individual technical-tactical actions were widely used. The record of standardised team actions was scarce. The research lines with a sequential data record for their temporary analysis were significant. The transitory or final score and the results of game sequences were the most used references of performance. The big data tools of analysis, web analysis, and the detection of temporal patterns or the application of polar coordinates were emerging methods of analysis.