Control del entrenamiento con datos GPS y medidas subjetivas de fatiga y recuperación en futbolistas hondureños durante un periodo preparatorio para los Juegos Olímpicos de Tokio 2020/2021 / Training Monitoring With GPS Data and Subjective Measures of Fatigue and Recovery in Honduran Soccer Players During a Preparatory Period for Tokyo 2020/2021 Olympic Games / Monitoramento do treinamento com dados GPS e medidas subjetivas de fadiga e recuperação dos jogadores de futebol hondurenhos durante um período preparatório para os Jogos Olímpicos de Tóquio 2020/2021

Resumen: Introducción: El control de cargas de entrenamiento es importante para optimizar el rendimiento. Por lo tanto, se deben documentar metodologías que mejoren la preparación de selecciones nacionales en eventos como los juegos olímpicos. Objetivo: Determinar si los datos del GPS en combinación con medidas subjetivas de bienestar, fatiga y recuperación son apropiados para el control de las cargas durante un periodo preparatorio para los Juegos Olímpicos. Metodología: Participaron 22 jugadores profesionales sub-23 durante 5 microciclos y 27 sesiones de entrenamiento. Se recopilaron datos de carga externa a través de un sistema global de posicionamiento (GPS): Distancia total (DT), zonas de rendimiento Z0 (0-15 km/h), Z1 (15.1-18 km/h), Z2 (18.1-24 km/h), Z3 (>24.1 km/h)), velocidad máxima (Vmax (km/h)), aceleraciones (>2.5m/s2) y desaceleraciones (<2.5m/s2). También, se obtuvo la carga interna a través de medidas subjetivas de percepción del esfuerzo (RPE), calidad de la recuperación (TQR), predisposición para entrenar (RTT%) derivada de las variables de calidad del sueño, dolor muscular, niveles de energía, estado de ánimo, estrés, calidad de la alimentación y la salud. Luego se calculó la ratio subjetiva de fatiga-recuperación (F-R). Se aplicó un test ANOVA, análisis de componentes principales (ACP) y una regresión múltiple lineal. Resultados: Las variables DT (p=0.00 TE=0.22), Z0 (p= 0.00 TE=0.08), Z2 (p=0.00 TE= 0.05), Vmax (p=0.00 TE=0.42), suma de aceleración y deceleración (p=0.00 TE=0.08) y valores relativos de la carga/min (p=0.00 TE=0.17) se identificaron como variables más sensibles al cambio de la carga entre microciclos. El RTT% y ratio subjetivo F-R mostraron un tamaño del efecto moderado (p=0.04 TE=0.06 y p=0.06 TE=0.06), pero fueron sensibles al cambio entre los microciclos. El ACP extrajo 15 variables GPS y 11 variables subjetivas que explicaron el 78% de la varianza de la carga de entrenamiento. Conclusión: Utilizar datos GPS junto con medidas subjetivas implicadas en la fatiga-recuperación puede ser una buena estrategia para el control de la carga de entrenamiento en futbolistas.

Abstract: Background: Training control is essential to optimize performance. Therefore, methodologies that improve the preparation of national teams in events such as the Olympic Games should be documented. Purpose: To determine whether GPS data in combination with subjective measures of well-being, fatigue and recovery are appropriate for load monitoring during a preparatory period for the Olympic Games. Methodology: Twenty-two under-23 professional players participated during 5 micro-cycles and 27 training sessions. External load data was collected via a global positioning system (GPS): Total distance (DT), performance zones Z0 (0-15 km/h), Z1 (15.1-18 km/h), Z2 (18.1 -24 km/h), Z3 (>24.1 km/h), maximum speed (km/h), accelerations (>2.5m/s.) and decelerations (<2.5m/s.). Also, internal load was obtained through subjective measures of Rating Perceived Exertion (RPE), Total Quality Recovery (TQR), Readiness to Train (RTT%) obtained from the sleep quality, muscle pain, energy levels, mood, stress, food quality and health. The subjective rate of fatigue-recovery (F-R) was then calculated. An ANOVA test, Principal Component Analysis (PCA) and multiple linear regression were applied. Results: the variables DT (p=0.00 ES=0.22), Z0 (p= 0.00 TE=0.08), Z2 (p=0.00 ES= 0.05), maximum speed (p= 0.00 ES=0.42), sum of acceleration and deceleration (p=0.00 ES=0.08) and values relative to load/min (p=0.00 ES=0.17) were identified as variables more sensitive to load change between micro-cycles. RTT% and subjective rate F-R showed a moderate effect size (p=0.04 ES=0.06 and p=0.06 ES=0.06), but were sensitive to change between micro-cycles. PCA extracted 15 GPS variables and 11 subjective variables that explained 78% of the training load variance. Conclusion: Using GPS data together with subjective measures involved in fatigue-recovery may be a good strategy to control training load in footballers.

Resumo: Introdução: O monitoramento das cargas de treinamento é importante para otimizar o desempenho. Portanto, as metodologias devem ser documentadas para melhorar a preparação das equipes nacionais para eventos como os Jogos Olímpicos. Objetivo: Determinar se os dados GPS em combinação com medidas subjetivas de bem-estar, fadiga e recuperação são apropriados para o monitoramento da carga durante um período preparatório para os Jogos Olímpicos. Metodologia: 22 jogadores profissionais U-23 participaram durante 5 microciclos e 27 sessões de treinamento. Os dados de carga externa foram coletados através de um sistema de posicionamento global (GPS): distância total (DT), zonas de desempenho Z0 (0- 15 km/h), Z1 (15,1-18 km/h), Z2 (18,1-24 km/h), Z3 (>24,1 km/h), velocidade máxima (Vmax (km/h)), acelerações (>2,5m/ s2) e desacelerações (<2,5m/s2). Além disso, a carga interna foi obtida através de medidas subjetivas de percepção do esforço (RPE), qualidade de recuperação (TQR), predisposição para o treinamento (RTT%) derivada das variáveis de qualidade do sono, dor muscular, níveis de energia, humor, estresse, qualidade alimentar e saúde. Posteriormente a taxa subjetiva de fadiga-recuperação (F-R) foi calculada. Um teste ANOVA, análise de componentes principais (ACP) e regressão linear múltipla foram aplicados. Resultados: As variáveis DT (p=0,00 TE=0,22), Z0 (p= 0,00 TE=0,08), Z2 (p=0,00 TE= 0,05), Vmax (p=0,00 TE=0,42), soma de aceleração e desaceleração (p=0,00 TE=0,08) e valores de carga relativa/min (p=0,00 TE=0,17) foram identificadas como as variáveis mais sensíveis à mudança de carga entre microciclos. RTT% e a relação F-R subjetiva mostraram tamanho de efeito moderado (p=0,04 TE=0,06 e p=0,06 TE=0,06 TE=0,06), mas foram sensíveis à mudança entre microciclos. O ACP extraiu 15 variáveis GPS e 11 variáveis subjetivas que explicaram 78% da variância na carga de treinamento. Conclusão: O uso de dados GPS junto com medidas subjetivas envolvidas na fadiga#recuperação pode ser uma boa estratégia para o monitoramento da carga de treinamento em jogadores de futebol.

Assessment of Soil Fertility Status in the Jurisdiction of Sugar Factory

Background: The high yielding varieties and intensive cropping together with the shift towards the use of high NPK fertilizers has caused the decline in the level of micronutrients in soils below normal at which productivity of crops cannot be sustained. Methods: The GPS based 104 soil samples were collected and analyzed for fertility status and nutrient indices in 2017-18. Results: The pH and EC of soils of sugar factory varied from 7.78 to 8.73 and 0.17 to 1.33 dSm-1, respectively. The organic carbon and calcium carbonate content in soils also varied from 0.21 to 0.82% and 5.25 to 15.75%, respectively. The available nitrogen, phosphorus and potassium content in soils were ranged from 137.90 to 310.40, 6.37 to 27.12, and 257.60 to 763.20 kg ha-1 respectively. The soil fertility status recorded from very low to moderate in available nitrogen, from very low to moderately high available phosphorus and high to very high available potassium. The available boron ranged from 0.05 to 0.40 mg kg-1. The iron, manganese, zinc and copper content ranged from 2.00 to 6.08, 1.22 to 3.87, 0.24 to 1.86 and 1.09 to 4.42 mg kg-1, respectively. The soils of the sugar factory are sufficient in available copper. Conclusion: The 69.23%, 2.88% and 65.38%samples were deficient in available iron, manganese and zinc, respectively. The soil fertility status of sugar factory was assessed to be low in available nitrogen, medium in available phosphorus and high in available potassium respectively.

Characteristics of the built environment on GPS-determined bicycle routes used by adolescents / Características do ambiente construído nas rotas de bicicleta determinadas por GPS utilizadas pelos adolescentes

The aim of this study was to identify the characteristics of the routes used for cycling according to gender on a sample of adolescents from the city of Curitiba, Brazil. The study was conducted in 2013 with 147 adolescents aged 12 to 17 years, who wore accelerometer and Global Positioning System receivers to assess physical activity and geographic locations. A total of 38 participants (50.0% girls) presented at least one bicycle route and were included in the analytic sample. A total of 386 routes were identified. Nearly all routes included public transportation facilities, plazas, and parcels with residential, retail, food or recreational land use (> 97.0%) while bike lanes/paths (62.7%) and Fitness Zones were less frequent (71.8%). Bus rapid transit (BRT) stations, parks and vacant lots were the least frequent feature in the routes (37.3%; 17.1%; and 7.5%, respectively). Routes used by girls had fewer vacant lots (3.9%; p = 0.001) and more residential, retail, food services, and recreational uses (99.6%; p = 0.003; 99.1%; p = 0.011; 98.7%; p = 0.030, respectively) than those used by boys. The findings suggest that the routes used by adolescents have mixed and diverse land use and girls ride along routes with greater bicycling and service infrastructure and less physical disorder than boys

O objetivo deste estudo foi identificar as características das rotas utilizadas para o uso de bicicleta de acordo com o sexo em uma amostra de adolescentes da cidade de Curitiba, Brasil. O estudo foi realizado em 2013 com 147 adolescentes de 12 a 17 anos, que usaram acelerômetro e receptores de Sistema de Posicionamento Global para avaliar a atividade física e a localização geográfica. Um total de 38 participantes (50,0% meninas) apresentaram pelo menos uma rota em bicicleta e, por isso, foram incluídos na amostra analítica. Foram identificadas 386 rotas. Quase todas as rotas incluíam meios de transporte público, praças e áreas residencial, comercial, de alimentos ou de lazer (> 97,0%), enquanto ciclovias (62,7%) e academias ao ar livre eram menos frequentes (71,8%). As estações de ônibus de transporte rápido (BRT), parques e terrenos vazios foram as menos frequentes nas rotas (37,3%; 17,1%; e 7,5%, respectivamente). As rotas utilizadas pelas me-ninas tiveram menos terrenos vazios (3,9%; p = 0,001) e mais residenciais, varejo, serviços de alimentação e recreação (99,6% ; p = 0,003; 99,1%; p = 0,011; 98,7%; p = 0,030, respectivamente) quando comparado com meninos. Os resultados sugerem que as rotas utilizadas pelos adolescentes têm uso misto e diversificado do solo e que meninas trafegam por rotas com maior infraestrutura de bicicleta e serviços e menos terrenos vazios quando comparado com meninos

Efeito do número de jogadores sobre a demanda física e respostas fisiológicas durante jogos com campo reduzido em jogadores de futebol sub-15 / The effect of number of players on physical demand and physiological responses during small-sided games in under-15 soccer players

O objetivo do estudo foi verificar o efeito do número de jogadores em jogos com campo reduzido (JCRs) sobre a demanda física e as respostas fisiológicas em jogadores adolescentes de futebol. Para isso, 14 jogadores de uma equipe de nível estadual (idade 14,4 ± 0,5 anos; massa corporal 56,2 ± 7,0 kg; estatura 1,7 ± 0,1 m; IMC 20,3 ± 1,4 kg∙m-2) foram submetidos a dois formatos (3 vs 3 e 7 vs 7) de JCRs. Foram analisadas as repostas de frequência cardíaca (FC), percepção subjetiva de esforço (PSE) e lactato sanguíneo ([La]), além da demanda física por meio do sistema de posicionamento global (GPS). Embora não tenha havido diferença estatística nas distâncias percorridas em diferentes zonas de velocidade entre os formatos de JCRs, a distância total percorrida, a distância percorrida em alta velocidade, a quantidade de ações em alta intensidade e a quantidade de acelerações > 1 m∙s-2 foram maiores (p < 0,05) no JCR 3 vs 3 (1794 m; 885 m; 69; 87, respectivamente) em relação ao JCR 7 vs 7 (1663 m; 712 m; 57; 68). O percentual da frequência cardíaca máxima (FCmáx), PSE e [La] foram superiores (p < 0,05) no JCR 3 vs 3 quando comparado ao 7 vs 7 (91,3%; 6,1 u.a.; 5,0 mmol∙L-1 vs 85,1%; 5,1 u.a.; 2,1 mmol∙L-1, respectivamente). Os resultados demonstram que a intensidade é maior durante o JCR 3 vs 3 do que no JCR 7 vs 7; além disso, a demanda física é influenciada pelo número de jogadores, com uma maior distância total e distância em alta velocidade, além de maior quantidade de atividades em alta intensidade e acelerações no JCR 3 vs 3.

The aim of this study was to analyze the effect of number of players in small-sided games (SSG) on time-motion characteristics and physiological responses in young soccer players. Fourteen soccer players from a state-level youth soccer team (age 14.4 ± 0.5 years; body mass 56.2 ± 7.0 kg; height 1.7 ± 0.1 m; BMI 20.3 ± 1.4 kg∙m-2) performed two formats (3 vs. 3 e 7 vs. 7) of the SSG. Heart rate (HR), rating perceived exertion (RPE) and blood lactate ([La]) and physical demands were analyzed using a global positioning system (GPS). Although there were not statistical differences in distance covered at different zones between SSG formats, the total distance covered, distance covered at high-speed, the quantity of high-intensity activities and quantity of accelerations > 1.0 m∙s-2 were higher (p < 0.05) during SSG 3 vs. 3 (1794 m; 885 m; 69; 87, respectively) than SSG 7 vs. 7 (1663 m; 712 m; 57; 68). The percentage of maximal heart rate (HRmax), RPE and [La] were higher (p < 0.05) in the SSG 3 vs. 3 than in 7 vs. 7 (91.3%; 6.1 a.u.; 5.0 mmol∙L-1 vs. 85.1%; 5.1 a.u.; 2.1 mmol∙L-1, respectively). The results show that intensity is greater during SSG 3 vs. 3 than in 7 vs. 7; furthermore, the physical demand is influenced by the number of players per team, with higher total distance covered and distance at high-speed during SSG 3 vs. 3. The players also perform higher number of activities at high-intensity and accelerations during SSG 3 vs. 3.

Development of Time-location Weighted Spatial Measures Using Global Positioning System Data

OBJECTIVES: Despite increasing availability of global positioning system (GPS), no research has been conducted to analyze GPS data for exposure opportunities associated with time at indoor and outdoor microenvironments. We developed location-based and time-weighted spatial measures that incorporate indoor and outdoor time-location data collected by GPS. METHODS: Time-location data were drawn from 38 female subjects in California who wore a GPS device for seven days. Ambient standard deviational ellipse was determined based on outdoor locations and time duration, while indoor time weighted standard deviational ellipse (SDE) was developed to incorporate indoor and outdoor times and locations data into the ellipse measure. RESULTS: Our findings indicated that there was considerable difference in the sizes of exposure potential measures when indoor time was taken into consideration, and that they were associated with day type (weekday/weekend) and employment status. CONCLUSIONS: This study provides evidence that time-location weighted measure may provide better accuracy in assessing exposure opportunities at different microenvironments. The use of GPS likely improves the geographical details and accuracy of time-location data, and further development of such location-time weighted spatial measure is encouraged.

Application of Google Earth in the prevention and management of drinking water type of endemic arsenism / 中国地方病学杂志

ObjectiveTo construct geographic information database of drinking water type of endemic arsenism at village level with Google Earth and provide scientific basis for prevention and management of endemic arsenism.MethodsDrinking water samples were collected in the field of Shilegetu village,Tuoketuo county,Inner Mongolia in 2008.Arsenic concentrations were determined by high-performance liquid chromatography-hydride generation-atomic fluorescence spectrometry.Global positioning system(GPS) was performed to obtain the geographic information of the water sources.Google Earth was applied to establish the geographic information database.Results There were 5 drinking water resources in this village.They were located between 40°29′09″ N and 40°29′36″ Nlatitude and 111°28′00″ E and 111°29′02″ E longitude,with the altitude between 1010 m and 1021 m.For all drinking water resources,four water arsenic concentrations was beyond 0.05 mg/L and one below 0.05 mg/L.In addition,one water source had been abandoned and the remaining four were providing daily drinking water for residents of the villages.ConclusionsThe geographic information database,established by Google Earth,can intuitively reflect the real situation of the endemic village.It can provide more useful information for field epidemiological research.It is an effectively tool in control and management of endemic arsenism.