Background: Physical activity (PA) and risk of obesity are inversely related in adult populations. However, the extent to which meeting different PA guidelines influence body mass index (BMI) is less known. The aim of this research was to examine how different PA guideline parameters affect BMI in adults. Methods: The Montana Behavioral Risk Factor Surveillance System (BRFSS, 2019) was used for this study. Four different PA guideline variables were used and included 1) 2-level aerobic PA (APA) (met APA or did not meet APA), 2) 2-level muscle strengthening activity (MSA) (met MSA or did not meet MSA), 3) 4-level PA (met both APA and MSA, met APA only, met MSA only, or met neither), and 4) 3-level APA categories (active, insufficiently active, or inactive). BMI was calculated from self-reported height and weight (kg/m2). Multiple linear regression was used to examine the effect of each PA guideline parameter on BMI while controlling for sociodemographic variables. Results: Findings showed that meeting the 2-level APA (slope (b) = -0.74 kg/m2, p < .0001) or the 2-level MSA (b = -0.75 kg/m2, p < .0001) guideline was associated with lower mean BMI. In the 4-level PA model, as compared to meeting neither guideline, meeting APA only (b = -0.58 kg/m2, p = .0119) or meeting both APA and MSA (b = -1.32 kg/m2, p < .0001) was associated with lower mean BMI. Meeting MSA only did not show significantly (p = .1748) different BMI from those meeting neither guideline. In the 3-level APA model, as compared to those categorized as inactive, those categorized as active (b = -0.91 kg/m2, p < .0001) had lower mean BMI. Those categorized as insufficiently active did not have significantly (p = .1748) different BMI from those categorized as inactive. Furthermore, the 4-level PA guidelines × sex interaction was significant (p = .030) and indicated lower mean BMI for females meeting either MSA only (b = -1.05 kg/m2, p = .0215), APA only (b = -1.14 kg/m2, p = .0014), or both APA and MSA (b = -1.84 kg/m2, p < .0001) guideline (p for trend < .0001). Whereas for males, only meeting both APA and MSA was associated with lower mean BMI (b = -0.77 kg/m2, p = .0077). Conclusion: This study found that meeting either APA or MSA guideline is associated with lower BMI in adults. However, sex-specific analyses indicate that this is true for females only and in dose-response fashion. Lower BMI in males is only associated with meeting both APA and MSA guidelines. Health promotion specialists concerned with obesity should understand the influence that each PA guideline has on relative body weight. Physical activity programming should promote both APA and MSA among adults in Montana.
{"title":"Relationship between Meeting Physical Activity Guideline Parameters and Body Mass Index (BMI) in Adults","authors":"P. Hart","doi":"10.12691/jpar-6-2-11","DOIUrl":"https://doi.org/10.12691/jpar-6-2-11","url":null,"abstract":"Background: Physical activity (PA) and risk of obesity are inversely related in adult populations. However, the extent to which meeting different PA guidelines influence body mass index (BMI) is less known. The aim of this research was to examine how different PA guideline parameters affect BMI in adults. Methods: The Montana Behavioral Risk Factor Surveillance System (BRFSS, 2019) was used for this study. Four different PA guideline variables were used and included 1) 2-level aerobic PA (APA) (met APA or did not meet APA), 2) 2-level muscle strengthening activity (MSA) (met MSA or did not meet MSA), 3) 4-level PA (met both APA and MSA, met APA only, met MSA only, or met neither), and 4) 3-level APA categories (active, insufficiently active, or inactive). BMI was calculated from self-reported height and weight (kg/m2). Multiple linear regression was used to examine the effect of each PA guideline parameter on BMI while controlling for sociodemographic variables. Results: Findings showed that meeting the 2-level APA (slope (b) = -0.74 kg/m2, p < .0001) or the 2-level MSA (b = -0.75 kg/m2, p < .0001) guideline was associated with lower mean BMI. In the 4-level PA model, as compared to meeting neither guideline, meeting APA only (b = -0.58 kg/m2, p = .0119) or meeting both APA and MSA (b = -1.32 kg/m2, p < .0001) was associated with lower mean BMI. Meeting MSA only did not show significantly (p = .1748) different BMI from those meeting neither guideline. In the 3-level APA model, as compared to those categorized as inactive, those categorized as active (b = -0.91 kg/m2, p < .0001) had lower mean BMI. Those categorized as insufficiently active did not have significantly (p = .1748) different BMI from those categorized as inactive. Furthermore, the 4-level PA guidelines × sex interaction was significant (p = .030) and indicated lower mean BMI for females meeting either MSA only (b = -1.05 kg/m2, p = .0215), APA only (b = -1.14 kg/m2, p = .0014), or both APA and MSA (b = -1.84 kg/m2, p < .0001) guideline (p for trend < .0001). Whereas for males, only meeting both APA and MSA was associated with lower mean BMI (b = -0.77 kg/m2, p = .0077). Conclusion: This study found that meeting either APA or MSA guideline is associated with lower BMI in adults. However, sex-specific analyses indicate that this is true for females only and in dose-response fashion. Lower BMI in males is only associated with meeting both APA and MSA guidelines. Health promotion specialists concerned with obesity should understand the influence that each PA guideline has on relative body weight. Physical activity programming should promote both APA and MSA among adults in Montana.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47103726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sociodemographic Predictors of Physical Inactivity in Montana Adults","authors":"Peter D. Hart","doi":"10.12691/jpar-6-2-9","DOIUrl":"https://doi.org/10.12691/jpar-6-2-9","url":null,"abstract":"","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46974554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Relationship between Health Risk Behaviors and Physical Inactivity in Montana Adults","authors":"Peter D. Hart","doi":"10.12691/jpar-6-2-10","DOIUrl":"https://doi.org/10.12691/jpar-6-2-10","url":null,"abstract":"","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46533789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. McCluskey, Al-shallawi An, D. Penk, J. Bridges, N. Gilson, H. Hermens, J. Buurke, A. Pandyan
Aim: Previous research has shown that physical activity is positively associated with growth and academic attainment in primary school children. The aim of this study was to determine if this association is repeated and to identify differences in personal, social, and environmental factors that contribute to physical activity and academic attainment. Methods: Physical activity status was determined using the PAQ-C and measurements of mass and height were recorded and BMI calculated. Academic attainment was measured using nationally standardised end of year tests. Participants completed the Newcastle Food School Study questionnaire. Parents of participants provided information on their education, family income, profession and completed the ALPHA Environment Questionnaire. A Chi-square test of homogeneity and Independent Samples T Tests were used to determine if differences exist between children who were more or less active. Based upon these results, significant predictors were selected and included in a logistic regression model in to analyse their ability to predict educational attainment. Results: The mean of the mass children who were more active followed the growth expected trajectory, whereas those who were less active demonstrated a loss in mass at the January measurement. Children who were more active were 27.72 and 12.59 times more likely to achieve average or above performance in literacy and reading than less active children. In mathematics, children whose parents worked in professional occupations, were 28.38 times more likely to achieve average or above than those with manual occupations. There were no significant differences between children in personal, social and environmental factors. Conclusion: This study confirms previous findings which reported that there does appear to be an association between physical activity and body mass and academic performance in primary school children, with lower levels of reported physical activity being associated with negative effects.
{"title":"Evaluating Associations between Physical Activity and Growth, Academic Attainment, and Socioeconomic Factors in Primary School Children - A Prospective Cohort Study","authors":"M. McCluskey, Al-shallawi An, D. Penk, J. Bridges, N. Gilson, H. Hermens, J. Buurke, A. Pandyan","doi":"10.12691/jpar-6-2-8","DOIUrl":"https://doi.org/10.12691/jpar-6-2-8","url":null,"abstract":"Aim: Previous research has shown that physical activity is positively associated with growth and academic attainment in primary school children. The aim of this study was to determine if this association is repeated and to identify differences in personal, social, and environmental factors that contribute to physical activity and academic attainment. Methods: Physical activity status was determined using the PAQ-C and measurements of mass and height were recorded and BMI calculated. Academic attainment was measured using nationally standardised end of year tests. Participants completed the Newcastle Food School Study questionnaire. Parents of participants provided information on their education, family income, profession and completed the ALPHA Environment Questionnaire. A Chi-square test of homogeneity and Independent Samples T Tests were used to determine if differences exist between children who were more or less active. Based upon these results, significant predictors were selected and included in a logistic regression model in to analyse their ability to predict educational attainment. Results: The mean of the mass children who were more active followed the growth expected trajectory, whereas those who were less active demonstrated a loss in mass at the January measurement. Children who were more active were 27.72 and 12.59 times more likely to achieve average or above performance in literacy and reading than less active children. In mathematics, children whose parents worked in professional occupations, were 28.38 times more likely to achieve average or above than those with manual occupations. There were no significant differences between children in personal, social and environmental factors. Conclusion: This study confirms previous findings which reported that there does appear to be an association between physical activity and body mass and academic performance in primary school children, with lower levels of reported physical activity being associated with negative effects.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48815924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This BriefTrends first describes the prevalence of meeting physical activity (PA) guidelines (MPAG) by education in Montana adults and second examines the relationship between MPAG and education.
{"title":"BriefTrends: Prevalence of Meeting Physical Activity (PA) Guidelines by Education in Montana Adults, 2019","authors":"P. Hart","doi":"10.12691/jpar-6-2-6","DOIUrl":"https://doi.org/10.12691/jpar-6-2-6","url":null,"abstract":"This BriefTrends first describes the prevalence of meeting physical activity (PA) guidelines (MPAG) by education in Montana adults and second examines the relationship between MPAG and education.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43578975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nickolas S. Rahawi, A. Gonzalez, Ellea E. Bachmeier, J. Morrissey, L. Leininger
The American College of Sport Medicine created the Exercise is Medicine® (EIM) initiative to improve health through the promotion and prescription of physical activity. The EIM-On Campus (EIM-OC) initiative uses physical activity as a vital sign for promoting healthy behaviors among students and employees on a college campus. The EIM-OC initiative was launched at California State University, Monterey Bay (CSUMB) in Fall 2019. The purpose of this research project was to promote and evaluate college students’ health behaviors associated with the implementation of the EIM-OC initiative at CSUMB. We hypothesized significant improvements in perceived stress, sleep quality, and total physical activity time among participants. The research design was pre-post and tracked participants in the EIM-OC semester long consultation program. Fifteen CSUMB students participated in the consultation program. The Perceived Stress Scale (PSS), Pittsburgh Sleep Quality Index (PSQI), and the Godin-Leisure Time Exercise Questionnaire (GLTEQ) were administered online through an intake form before and after the consultation program. Dependent t-tests were performed to assess for pre- and post-differences in perceived stress (PS), sleep quality (SQ), and total physical activity (PA) time. Significance was set at 𝛂 = 0.05. Participant’s age was M=20.87, SD=3.34 years, with 60% being college junior status. There was a statistically significant improvement in students’ perceived stress levels (t=2.659, df=14, p=.019) pre (M=16.47, SD=5.630) and post (M=11.53, SD=6.424) intervention. There was also a statistically significant improvement in sleep quality (t=.3166, df=14, p=.007) pre (M=6.80, SD=2.981) and post (M=5.07, SD=2.963) intervention. There were improvements in total physical activity time, although it was not significant. The results of this research project indicate that peer advisor consultation programs can be effective in improving college-aged students’ perceived stress and sleep quality. These health behavior improvements are important contributors to college students’ lifelong health behavior habits, quality of life, and academic performance.
{"title":"Evaluating Students’ Perceived Stress, Sleep Quality, and Physical Activity in Exercise Is Medicine® On Campus Student-led Health Consultation Program","authors":"Nickolas S. Rahawi, A. Gonzalez, Ellea E. Bachmeier, J. Morrissey, L. Leininger","doi":"10.12691/jpar-6-2-1","DOIUrl":"https://doi.org/10.12691/jpar-6-2-1","url":null,"abstract":"The American College of Sport Medicine created the Exercise is Medicine® (EIM) initiative to improve health through the promotion and prescription of physical activity. The EIM-On Campus (EIM-OC) initiative uses physical activity as a vital sign for promoting healthy behaviors among students and employees on a college campus. The EIM-OC initiative was launched at California State University, Monterey Bay (CSUMB) in Fall 2019. The purpose of this research project was to promote and evaluate college students’ health behaviors associated with the implementation of the EIM-OC initiative at CSUMB. We hypothesized significant improvements in perceived stress, sleep quality, and total physical activity time among participants. The research design was pre-post and tracked participants in the EIM-OC semester long consultation program. Fifteen CSUMB students participated in the consultation program. The Perceived Stress Scale (PSS), Pittsburgh Sleep Quality Index (PSQI), and the Godin-Leisure Time Exercise Questionnaire (GLTEQ) were administered online through an intake form before and after the consultation program. Dependent t-tests were performed to assess for pre- and post-differences in perceived stress (PS), sleep quality (SQ), and total physical activity (PA) time. Significance was set at 𝛂 = 0.05. Participant’s age was M=20.87, SD=3.34 years, with 60% being college junior status. There was a statistically significant improvement in students’ perceived stress levels (t=2.659, df=14, p=.019) pre (M=16.47, SD=5.630) and post (M=11.53, SD=6.424) intervention. There was also a statistically significant improvement in sleep quality (t=.3166, df=14, p=.007) pre (M=6.80, SD=2.981) and post (M=5.07, SD=2.963) intervention. There were improvements in total physical activity time, although it was not significant. The results of this research project indicate that peer advisor consultation programs can be effective in improving college-aged students’ perceived stress and sleep quality. These health behavior improvements are important contributors to college students’ lifelong health behavior habits, quality of life, and academic performance.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41532825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this research was to assess the impact of the COVID-19 pandemic on physical activity (PA) participation, weight gain, and the mental health perception in Jamaica. A quantitative approach was applied using a cross-sectional survey design to collect data. The research surveyed 836 Jamaicans from all 14 parishes using a structured questionnaire via Google Forms. The research used a combined sampling method that included convenience and snowball techniques to survey participants ages 12-71 years. The results indicated that the level of PA participation during the COVID-19 pandemic was 73.3%. However, 87.2% of the respondents engaged in less than 150 minutes of PA per week, while 96.1% of the respondents participated in low intensity and short durations of PA below the recommended PA guidelines set out by the WHO as the very minimum needed to provide health benefits to people. Additionally, the government restrictions impacted eating habits and weight gain for majority of the respondents. Stress and depression were the most perceived mental impact of the COVID-19 pandemic on the participants.
{"title":"Assessing the Impact of the COVID-19 Pandemic in Jamaica: Physical Activity Participation, Weight Gain, and the Mental Health Perception","authors":"Van Der Rowe","doi":"10.12691/jpar-6-1-9","DOIUrl":"https://doi.org/10.12691/jpar-6-1-9","url":null,"abstract":"The purpose of this research was to assess the impact of the COVID-19 pandemic on physical activity (PA) participation, weight gain, and the mental health perception in Jamaica. A quantitative approach was applied using a cross-sectional survey design to collect data. The research surveyed 836 Jamaicans from all 14 parishes using a structured questionnaire via Google Forms. The research used a combined sampling method that included convenience and snowball techniques to survey participants ages 12-71 years. The results indicated that the level of PA participation during the COVID-19 pandemic was 73.3%. However, 87.2% of the respondents engaged in less than 150 minutes of PA per week, while 96.1% of the respondents participated in low intensity and short durations of PA below the recommended PA guidelines set out by the WHO as the very minimum needed to provide health benefits to people. Additionally, the government restrictions impacted eating habits and weight gain for majority of the respondents. Stress and depression were the most perceived mental impact of the COVID-19 pandemic on the participants.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43844953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jade Thibault, Pierre-Yves Pinard, P. Rushton, K. Best, M. Sol, J. Gauvin-Lepage
Pediatric manual wheelchair users (PMWUs) do not meet the Canadian 24-hour movement guidelines. Consequences are significant in terms of physical, emotional and cognitive health. Physical education (PE) classes are an important facilitator to increased physical activity among children and youth with disability. However, many teachers do not feel adequately prepared to provide education to children with special needs. Indeed, many Quebec (Canada) schools do not meet the recommended minutes of PE per week and the provincially mandated education program targets typically developing children only. Study objectives were to describe (1) the PE teachers’ training in adapted physical activity and (2) the integration of PMWUs in PE classes within Quebec elementary and high schools. An online survey asked 47 questions about: (1) demographic and descriptive information, (2) integration of PMWUs in PE classes, (3) teaching strategies (4) evaluation methods, (5) use of reference tools and (6) interests and opinions. Complete responses were received from 136 PE teachers. Forty-nine percent of PE teachers received adapted physical activity training through their university curriculum and 14.9% took additional training after university. Eighty-six percent of PE teachers were interested in receiving education about manual wheelchair skills training. While 97% of PMWUs participate with or without assistance in PE classes, some PE teachers were not satisfied with how they adapted their PE courses for PMWUs, reporting that adaptations to classes and evaluations are primarily based on professional judgment. Most PE teachers who did not currently teach PMWUs would not feel equipped to adapt their classes to do so. More work is needed to develop programs to facilitate PE teacher training. Improved PE courses may in turn increase physical activity among PMWUs.
{"title":"Physical Education for Manual Wheelchair Users in Quebec: A Description of Teacher Training and Child Integration in Elementary and High Schools","authors":"Jade Thibault, Pierre-Yves Pinard, P. Rushton, K. Best, M. Sol, J. Gauvin-Lepage","doi":"10.12691/JPAR-6-1-7","DOIUrl":"https://doi.org/10.12691/JPAR-6-1-7","url":null,"abstract":"Pediatric manual wheelchair users (PMWUs) do not meet the Canadian 24-hour movement guidelines. Consequences are significant in terms of physical, emotional and cognitive health. Physical education (PE) classes are an important facilitator to increased physical activity among children and youth with disability. However, many teachers do not feel adequately prepared to provide education to children with special needs. Indeed, many Quebec (Canada) schools do not meet the recommended minutes of PE per week and the provincially mandated education program targets typically developing children only. Study objectives were to describe (1) the PE teachers’ training in adapted physical activity and (2) the integration of PMWUs in PE classes within Quebec elementary and high schools. An online survey asked 47 questions about: (1) demographic and descriptive information, (2) integration of PMWUs in PE classes, (3) teaching strategies (4) evaluation methods, (5) use of reference tools and (6) interests and opinions. Complete responses were received from 136 PE teachers. Forty-nine percent of PE teachers received adapted physical activity training through their university curriculum and 14.9% took additional training after university. Eighty-six percent of PE teachers were interested in receiving education about manual wheelchair skills training. While 97% of PMWUs participate with or without assistance in PE classes, some PE teachers were not satisfied with how they adapted their PE courses for PMWUs, reporting that adaptations to classes and evaluations are primarily based on professional judgment. Most PE teachers who did not currently teach PMWUs would not feel equipped to adapt their classes to do so. More work is needed to develop programs to facilitate PE teacher training. Improved PE courses may in turn increase physical activity among PMWUs.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42097413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Proper balance of nutrients is crucial for athletes to maintain a good nutritional profile and optimize sports performance. The aim of the study was to evaluate nutrient intake and adequacy among Indian sprinters among various age groups. Cross-sectional study on Indian male National level sprinters (n=80) was carried out. Height, weight, dietary practices, and nutrient intake were collected. Mean weight, height and BMI were 59.3±2.8 kg, 170.3±2.6 cm, and 20.5±1.6 kg/m 2 respectively. Mean daily energy, carbohydrate, and protein intake per kg BM was 51±20 kcal; 7.56g and1.83±0.9g respectively and 24.89% came from fat. Nutrient Adequacy Ratio values reveal adequacy of vitamin A, B-complex vitamins, ascorbic acid, magnesium, calcium, zinc, and iron. Macro and micronutrient intake was significantly close to recommendations except for vitamin D in 10-12 years while in 13-15 years, protein, niacin, zinc, and pyridoxine were comparable and 16-17 years had a maximum deviation from recommendations. Nutrients (carbohydrate, protein, iron, zinc, and thiamine) were close to the recommendation in the 18+ group. Inter-individual variability in macro and micronutrient intake highlights the need for a well balanced, healthy meal plan from a sports nutritionist for tailor-made diets to suit training load to optimize performance.
{"title":"Dietary Adequacy of Macro and Micronutrients in National Level Indian Male Sprinters","authors":"Samyukta Gaur, V. B. Golla","doi":"10.12691/JPAR-6-1-2","DOIUrl":"https://doi.org/10.12691/JPAR-6-1-2","url":null,"abstract":"Proper balance of nutrients is crucial for athletes to maintain a good nutritional profile and optimize sports performance. The aim of the study was to evaluate nutrient intake and adequacy among Indian sprinters among various age groups. Cross-sectional study on Indian male National level sprinters (n=80) was carried out. Height, weight, dietary practices, and nutrient intake were collected. Mean weight, height and BMI were 59.3±2.8 kg, 170.3±2.6 cm, and 20.5±1.6 kg/m 2 respectively. Mean daily energy, carbohydrate, and protein intake per kg BM was 51±20 kcal; 7.56g and1.83±0.9g respectively and 24.89% came from fat. Nutrient Adequacy Ratio values reveal adequacy of vitamin A, B-complex vitamins, ascorbic acid, magnesium, calcium, zinc, and iron. Macro and micronutrient intake was significantly close to recommendations except for vitamin D in 10-12 years while in 13-15 years, protein, niacin, zinc, and pyridoxine were comparable and 16-17 years had a maximum deviation from recommendations. Nutrients (carbohydrate, protein, iron, zinc, and thiamine) were close to the recommendation in the 18+ group. Inter-individual variability in macro and micronutrient intake highlights the need for a well balanced, healthy meal plan from a sports nutritionist for tailor-made diets to suit training load to optimize performance.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43856822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mathematical models can be used to predict exercise performance, but the specific factors contributing to the fatigue component of these models are unknown. This study was designed to determine the contribution of nutrition and psychometric factors to the fatigue component of a performance prediction model for endurance running. It was hypothesized that there would be a positive correlation between both nutritional intake and psychometric factors, and the modeled fatigue. One experienced male marathon and ultra-marathon runner was monitored during 18-weeks of training, involving a weekly performance test (mean ± SD; distance = 10508 ± 113 m), nutritional diaries, and psychometric questionnaires (POMS and RESTQ-Sport). A dose-response based model incorporating two antagonistic components, fitness and fatigue, and training data, was used to calculate modeled performance, which was correlated against actual performance. The performance fit was low (r2 = 0.24, P = 0.05) when modelled for the total 122 day period, however the fit was increased when the model was divided into two separate training periods (days 1 - 66: r2 = 0.55, P = 0.02; days 66 - 122: r2 = 0.87, P = 0.002). There were significant (P 0.01) positive correlations between modelled fatigue and the nutritional data (Fat r2 = 0.78), POMS (Vigour r2 = 0.92), and RESTQ-Sport (General Recovery r2 = 0.74; Sports Recovery r2 = 0.71; Global Recovery r2 = 0.78). The results indicate a high correlation between nutritional intake and scores on the psychometric questionnaires, and the fatigue parameter of the model. Therefore, these factors should be measured and used in models of fatigue.
{"title":"Contribution of Nutrition and Psychometric Factors to the Fatigue Component of a Performance Prediction Model in Endurance Running","authors":"Emily A. Baker, C. Solomon, I. Stewart","doi":"10.12691/jpar-5-2-5","DOIUrl":"https://doi.org/10.12691/jpar-5-2-5","url":null,"abstract":"Mathematical models can be used to predict exercise performance, but the specific factors contributing to the fatigue component of these models are unknown. This study was designed to determine the contribution of nutrition and psychometric factors to the fatigue component of a performance prediction model for endurance running. It was hypothesized that there would be a positive correlation between both nutritional intake and psychometric factors, and the modeled fatigue. One experienced male marathon and ultra-marathon runner was monitored during 18-weeks of training, involving a weekly performance test (mean ± SD; distance = 10508 ± 113 m), nutritional diaries, and psychometric questionnaires (POMS and RESTQ-Sport). A dose-response based model incorporating two antagonistic components, fitness and fatigue, and training data, was used to calculate modeled performance, which was correlated against actual performance. The performance fit was low (r2 = 0.24, P = 0.05) when modelled for the total 122 day period, however the fit was increased when the model was divided into two separate training periods (days 1 - 66: r2 = 0.55, P = 0.02; days 66 - 122: r2 = 0.87, P = 0.002). There were significant (P 0.01) positive correlations between modelled fatigue and the nutritional data (Fat r2 = 0.78), POMS (Vigour r2 = 0.92), and RESTQ-Sport (General Recovery r2 = 0.74; Sports Recovery r2 = 0.71; Global Recovery r2 = 0.78). The results indicate a high correlation between nutritional intake and scores on the psychometric questionnaires, and the fatigue parameter of the model. Therefore, these factors should be measured and used in models of fatigue.","PeriodicalId":92549,"journal":{"name":"Journal of physical activity research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46882724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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