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Background/Objectives: Physical Literacy (PL) is increasingly recognized as a key element in studies aimed at promoting Physical Activity (PA), but measurement tools for emerging adults and evidence for assessing and using this concept is lacking in a wide range of contexts. We aimed to validate the French version of the Perceived Physical Literacy Instrument (PPLI): a scale for investigating PL in young French adults. Methods: After PL and PA data collection (n = 2,248, agemean = 19 ± 1.53 yrs), exploratory and confirmatory factor analyses, Cronbach's α and Omega's ω and an Intraclass-Correlation analysis were undertaken. Spearman's rank correlation and the Boruta algorithm were used to investigate the association between PL and PA. Boruta's algorithm examined deeper external validation by analyzing the strength of an overall PL score in explaining PA, compared with separate dimensions of PL and individual characteristics (BMI, sex). Results: Results showed an acceptable level of reliability (ICC = 0.91), internal validity (α = 0.88; ω = 0.77), and external validity (Rhô >0.18, p < 0.01). The Boruta algorithm highlighted that the construct of PL is a significant predictor of PA, although not the strongest one which is social and affective dimension. Conclusion: This study provided data on validity and reliability of the first French assessment tool to measure PL constituted by four intertwined dimensions (physical, cognitive, social, affective). At the same time, it provides new evidence of the association between PL and PA.
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Purpose: The purpose of this study was to determine the extent to which matching three learning tasks with students' conative stages in badminton can increase their situational interest. Method: Ninety-seven secondary school students (Mage = 13.0, SD = 1.4, 50.5% girls, aged 11-16) practiced three learning tasks in badminton, designed to reflect the game intentions associated with their conative stages. They responded to the 15-item situational interest scale after practicing each of the three learning tasks. Results: According to the differences related to the SI dimensions scores between the learning tasks, matching the design of three learning tasks with the students' game intentions results in higher scores in the SI dimensions. Conclusion: Using the conative stages to characterize students' expertise levels in badminton, this study fine-tunes the connection between the students and the learning tasks by exceeding the common criterion related to the students' technical skills. This study also confirms that instant enjoyment, exploration intention, attention demand, and challenge were key dimensions underlying students' motivation in badminton in relation to its technical, tactical and physical components.
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Aprendizagem , Esportes com Raquete , Feminino , Humanos , Masculino , Motivação , Intenção , EstudantesRESUMO
This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallies. The expertise levels were determined using a typology based on a continuum of 5 conative stages: (1) structural, (2) functional, (3) technical, (4) contextual, and (5) expertise. The video allowed empirical measurement of the duration of the rallies, and tri-axial accelerometers measured the intensity of the player's involvement. A principal component analysis showed that two dimensions explained 54.9% of the total variance in the data and that conative stage and empirical parameters during rallies (duration, intensity of the game) were correlated with axis 1, whereas duration and acceleration data between rallies were correlated with axis 2. A random forest algorithm showed that among the parameters considered, acceleration, duration of the rallies, and time between rallies could predict conative stages with a prediction accuracy above possibility. This study suggests that performance analysis benefits from the confrontation of subjective and objective data in order to design training plans according to the expertise level of the participants.
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Desempenho Atlético/fisiologia , Aprendizado de Máquina , Esportes com Raquete/fisiologia , Acelerometria , Adolescente , Adulto , Algoritmos , Feminino , Humanos , Masculino , Destreza Motora/fisiologia , Análise de Componente Principal , Esportes com Raquete/classificação , Estudos de Tempo e Movimento , Adulto JovemRESUMO
The purpose of this study was to determine whether there is a difference in physical activity assessment between a wrist-worn accelerometer at the dominant or non-dominant arm. The secondary purpose was to assess the concurrent validity of measures of physical activity from the wrist-worn accelerometer and the waist-worn accelerometer. Forty adults wore three accelerometers simultaneously, one on the waist and one each on the non-dominant wrist and dominant wrist, respectively, for 24 consecutive hours of free-living conditions. Data were uploaded from the monitor to a computer following a 1-day test period. There were no significant differences in physical activity when comparing the dominant versus the non-dominant wrist, regardless of axis (P>0·05). Mean daily accelerometer output data from both wrists were strongly correlated with average counts per minute from the ActiGraph worn around the waist (r = 0·88, P<0·001). Findings suggest that the choice to wear the accelerometer on the non-dominant or dominant wrist has no impact on results. Data from this study contribute to the knowledge of how to best assess physical activity habits.
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Actigrafia/instrumentação , Exercício Físico , Monitores de Aptidão Física , Lateralidade Funcional , Punho , Adolescente , Adulto , Feminino , Humanos , Masculino , Valor Preditivo dos Testes , Reprodutibilidade dos Testes , Processamento de Sinais Assistido por Computador , Fatores de Tempo , Adulto JovemRESUMO
Research on racket sports has traditionally focused on expert players and has treated energy expenditure and tactics as independent factors. These prior studies could not assess how energy expenditure and tactics changed as a function of experience and skill. Here, the specific relationship between playing tactics and energy expenditure in badminton were assessed. Participants were classified into five stages of badminton experience on the basis of conative criteria: structural (physical abilities), technical (technical skills), and functional (tactics). The physical activity of 99 players (47 beginners, 15 intermediates, 30 advanced, and 7 experts) was measured using a three-axis accelerometer during a badminton set (21 points, no extra scoring). The results showed that physical activity (counts/sec.) ranged between about 115 (Stage 1) and 155 (Stage 5), and differed significantly across the conative stages. For Stages 2 and 4, defined by an increase in use of tactics, physical activity increased substantially. For Stage 3, defined by a decrease in use of tactics, physical activity decreased significantly. Thus, tactically-oriented play appears to be closely related to physical activity.
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Desempenho Atlético/fisiologia , Metabolismo Energético/fisiologia , Prática Psicológica , Esportes com Raquete/fisiologia , Esportes com Raquete/psicologia , Actigrafia/psicologia , Adolescente , Adulto , Aptidão/fisiologia , Feminino , Humanos , Masculino , Atividade Motora/fisiologia , Destreza Motora/fisiologia , Estudantes/psicologia , Adulto JovemRESUMO
The aim was to explore the relationship between sleep habits and overweight/obesity, physical activity and sedentary behaviors in French adults with intellectual disabilities. This observational study was conducted on 570 French adults with intellectual deficiency. Sleep habits were analyzed and related to anthropometric measures, physical activity and sedentary behaviors. The study was conducted using a self-administered questionnaire. Participants completed the questionnaire during an interview with the principal investigator. Sleep timing behavior was classified into 4 sleep patterns: Early-bed/Early-rise, Early-bed/Late-rise, Late-bed/Late-rise, and Late-bed/Early-rise. Of 570 eligible participants, 61 were excluded because of missing data on age, weight or height. The number of participants identified in each of the four sleep patterns was as follows: Early-bed/Early-rise, N = 119 (23%), Early-bed/Late-rise, N = 171 (34%), Late-bed/Early-rise, N = 100 (20%), Late-bed/Late-rise N = 119 (23%). Participants who wake up earlier are more active than those who rise late (p < 0.02). Participants who slept later spent more time in sedentary activities than those in the Early rise groups (p < 0.01). The number of obese/overweight participants was also higher in Late-bed/Late rise group. Sleep behavior was associated with overweight/obesity, physical activity and sedentary behavior in adults with intellectual deficiency, independently the sleep duration. Implementing intervention or promotion programs on sleep behaviors should be considered in order to meet the objectives of promoting health on anthropometric characteristics and increased physical activity among these disabled adults.
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Deficiência Intelectual/epidemiologia , Atividade Motora , Obesidade/epidemiologia , Comportamento Sedentário , Sono , Adulto , Índice de Massa Corporal , Comorbidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Sobrepeso/epidemiologia , Inquéritos e Questionários , Fatores de TempoRESUMO
BACKGROUND: The aim of this study was to compare physical activity measured using GT1M ActiGraph and GT3X ActiGraph accelerometers in free living conditions. FINDINGS: Twenty-five adults wore GT1M and GT3X Actigraph accelerometers simultaneously during a typical weekday of activity. Data were uploaded from the monitor to a computer at the end of test (one day). Previously established thresholds were used for defining time spent at each level of physical activity, physical activity was assessed at varying intensities comparing data from the two accelerometers by ANOVA and Bland and Altman statistical analysis. The concordance correlation coefficient between accelerometers at each intensity level was 0.99. There were no significant differences between accelerometers at any of the activity levels. Differences between data obtained in minutes with the GT1M accelerometer and the GT3X monitor were to 0.56, 0.36, 0.52 and 0.44% for sedentary, light, moderate and vigorous, respectively. The Bland and Altman method showed good agreement between data obtained for the two accelerometers. CONCLUSIONS: Findings suggest that the two accelerometers provided similar results and therefore the GT3X may be used in clinical and epidemiological studies without additional calibration or validation studies.