Papers by Hemantajit Gogoi
Background: Worldwide, obesity has become a significant health problem among adolescents; the pre... more Background: Worldwide, obesity has become a significant health problem among adolescents; the prevalence of obesity has been steadily increasing among these age groups. It has been shown that lifestyle interventions can help manage obesity and improve body composition, such as yoga practice and dietary modifications. However, little research has compared the effect of both the interventions on obese female adolescents. Therefore, the present study aimed to examine how yoga and diet intervention affect body composition in obese female adolescents. Methods: Sixty female obese adolescents (age: 19.4 ± 7.2 years; height: 162.3 ± 8.4 cm; weight: 72.25 ± 9.1 kg) were randomly assigned to three equal groups (n = 20): a yoga practice group (YG), a diet group (DG) and a control group (CG). Experimental groups: yoga practice and diet interventions were followed up for 12 weeks. All measurements were taken 24 hours before and after the first and the last interventions. Results: As a result of the study, both experimental groups showed significant improvements in various body composition parameters when compared to the control group (p˂0.05). Both the yoga practice group and the diet group (p˂0.05) experienced significant changes in weight, body mass (BFM), and body fat percentage (BFP) during the pre-to-post interaction period. SMM (skeletal muscle mass) did not change significantly in any of the groups. Conclusion: The study demonstrates that yogic practice and diet intervention both are effective in improving body composition, notably reducing weight, BMI, body fat mass, and percentage, thereby enhancing overall health in obese female adolescents.
The study purpose was to analyse the peak EMG at five upper-body muscles during four different ja... more The study purpose was to analyse the peak EMG at five upper-body muscles during four different jab techniques in youth boxers. Materials and methods. Male youth national-level boxers (n=7) were assessed for peak electromyography (EMG) of anterior deltoid (AD), biceps brachii (BB), triceps brachii (TB), flexor carpi radialis (FCR), and upper trapezius (UT) while performing four jab techniques: long-range targeting head (LRH), long-range targeting body (LRB), mediumrange targeting head (MRH), and medium-range targeting body (MRB). Results. The LRH induced the highest EMG for AD (2092.9±411.9) and BB (1392.0±687.3). The MRB induced the highest EMG for the FCR (1337.16±538.28), TB (1589.3±600.3), and UT (1221.2±507.5). However, between jab techniques, only the AD showed a significant (p<0.001) different EMG. Specifically, the LRH induced greater AD EMG compared to LRB (157.5 [p<0.001]), MRH (411.0 [p=0.003]), and MRB (398.3 [p=0.010]). Further, the LRB induced greater AD EMG compared to MRH (253.5 [p=0.024]) and MRB (240.8 [p=0.049]). The MRH and MRB (-12.7 [p=0.911]) induced similar AD EMG. Conclusions. Peak EMG at five upper-body muscles varies between jab techniques. However, the differences seem relatively small, except for the AD muscle, with a descending pattern of peak EMG for the LRH > LRB > MRH and MRB jab techniques.
Physical Education Theory and Methodology, 2021
The study purpose was to follow a prospective cohort study design to use gait kinematic parameter... more The study purpose was to follow a prospective cohort study design to use gait kinematic parameters to identify the risk factors and to develop a statistical model to predict running-related lower limb injuries of sportspersons. Materials and methods. BTS G-WALK® gait analysis system was used to collect gait kinematic data of 87 subjects from an institute of physical education and sports science. The subjects were followed for a full academic season after which the researcher inquired about their injury occurrences. Binary logistic regression was used to develop a prediction model to predict lower limb injuries of sportspersons. Results. The result of the study revealed that increasing Range of Obliquity, Range of Tilt and Range of Rotation were associated with increased likelihood of future running-related lower limb injury. However, the lower Symmetry Index was associated with increase in the likelihood of future running-related lower limb injury. Conclusions. The study confirmed...
International Journal of Human Movement and Sports Sciences, 2021
For an active sportsperson, running is the most common physical activity, but it carries a high r... more For an active sportsperson, running is the most common physical activity, but it carries a high risk of musculoskeletal injuries. Half of the running injuries are identified as overuse injuries, with the most affected areas being the lower limbs. Previous studies had revealed several factors responsible for the development of running-related lower-limb injuries of sportspersons. However, there have been few studies aiming at predicting them. Therefore, the present study aimed to develop a predictive model to predict lower limb injury of active sportsperson. The BTS G-WALK system synchronised with two GoPro Hero 6 cameras were used to conduct the study on seventy-five (N=75) healthy male subjects without any lower limb injury history. The BTS G-WALK system provided spatio-temporal parameters while Kinovea software was used to extract kinematic data from raw videos of treadmill running movement of the subjects. A prospective cohort study design was used to investigate how the difference in running gait kinematic affects the outcome of lower limb injury occurrences of active sportspersons. Further, a prediction model was developed using binary logistic regression, for which IBM® SPSS® version 25 was used. All statistical analyses were tested at 0.05 (p = 0.05) level of significance. The model indicated that Range of Pelvic Obliquity (RPO) and Maximum Toe Out (MTO) were positively and Symmetry Index (SI) was negatively associated with an increased likelihood of exhibiting lower limb injury. The model explained 85.7% variance and correctly classified 93.3% cases of lower limb injury of an active sportsperson. The risk factors for lower limb injuries of a sportsperson can be identified and prediction of lower limb injury of a sportsperson is theoretically possible. To generalize the model for practical implications, the researcher suggested further research with larger sample size.
International Journal of Human Movement and Sports Sciences, 2020
Objective: Previous researches on sports injuries primarily focused on specific games or sports o... more Objective: Previous researches on sports injuries primarily focused on specific games or sports or on specific types of injuries. None of them had tried to explore the injury patterns of games and sports altogether. The current study tried to explore the injury patterns of sportspersons over 16 different types of games and sports. Materials and methods: Total of 1008 injury cases (649 male and 369 female, age 21.07±2.78 and 20.81± 3.01 years) between the academic sessions 2008 to 2017 were analysed. Injury data were extracted from the institute injury record book. Apart from age and gender, ' Body site of injury ', ' Types of injury ' and ' Recurring of injury ' were selected as variables for the study. Descriptive statistics, bar and pie diagram were generated using crosstabs function of IBM SPSS. Results: An average 101.80±12.59 injury was reported per year. Footballers were found to be the highest injured sportsperson (19.5%). Injury percentage of male players (63.75%) was higher compared to female (36.25%) counterparts. Lower limb area (45.28%) was found to be the highest affected body site of injury followed by upper limb area (29.47%). Acute injury constituted 50.39% of overall injuries. Most injuries were non-recurring in nature (63.65%). Further different combinations of analysis revealed more insight of injury patterns of sportspersons.
Universal Journal of Public Health, 2021
Objective: Recently, Indian has adopted many policies to promote health, wellness and sports cult... more Objective: Recently, Indian has adopted many policies to promote health, wellness and sports culture in the country. Though these policies have been implemented nationally, limited research is available about the health-related fitness status of children in the Indian Himalayan region. Therefore, the present study was conducted to survey the health-related fitness status of school-going girls in the Indian Himalayan region. Materials and methods: A total of 563 school-going girls had participated in the study, 166 were from the age group of 10-12 years, 164 from the age group of 13-15 years and 233 from the age group of 16-18 years. Administration manual of Khelo India Fitness Assessment in Schools-version 2.0 was followed for data collection for five health-related physical fitness components. Simple descriptive statistics and One-Way ANOVA test were employed as statistical tools for the study. Results: The study showed a moderate level of health-related fitness among school-going girls in the Indian Himalayan region. The height and weight of the participants were found at lower 50 percentiles as per the growth chart of IAP. One-Way ANOVA test and pairwise comparison revealed the presence of variance in the fitness components between different age groups. Conclusion: It was suggested to involve parents and elders to change the sedentary habits of the children. Proper execution of sports infrastructure development programmes can further help in promoting health, wellness and sports culture in the region.
Universal Journal of Public Health, 2021
Objective: Recently, Indian has adopted many policies to promote health, wellness and sports cult... more Objective: Recently, Indian has adopted many policies to promote health, wellness and sports culture in the country. Though these policies have been implemented nationally, limited research is available about the health-related fitness status of children in the Indian Himalayan region. Therefore, the present study was conducted to survey the health-related fitness status of school-going girls in the Indian Himalayan region. Materials and methods: A total of 563 school-going girls had participated in the study, 166 were from the age group of 10-12 years, 164 from the age group of 13-15 years and 233 from the age group of 16-18 years. Administration manual of Khelo India Fitness Assessment in Schools-version 2.0 was followed for data collection for five health-related physical fitness components. Simple descriptive statistics and One-Way ANOVA test were employed as statistical tools for the study. Results: The study showed a moderate level of health-related fitness among school-going girls in the Indian Himalayan region. The height and weight of the participants were found at lower 50 percentiles as per the growth chart of IAP. One-Way ANOVA test and pairwise comparison revealed the presence of variance in the fitness components between different age groups. Conclusion: It was suggested to involve parents and elders to change the sedentary habits of the children. Proper execution of sports infrastructure development programmes can further help in promoting health, wellness and sports culture in the region.
International Journal of Human Movement and Sports Sciences, 2021
For an active sportsperson, running is the most common physical activity, but it carries a high r... more For an active sportsperson, running is the most common physical activity, but it carries a high risk of musculoskeletal injuries. Half of the running injuries are identified as overuse injuries, with the most affected areas being the lower limbs. Previous studies had revealed several factors responsible for the development of running-related lower-limb injuries of sportspersons. However, there have been few studies aiming at predicting them. Therefore, the present study aimed to develop a predictive model to predict lower limb injury of active sportsperson. The BTS G-WALK system synchronised with two GoPro Hero 6 cameras were used to conduct the study on seventy-five (N=75) healthy male subjects without any lower limb injury history. The BTS G-WALK system provided spatio-temporal parameters while Kinovea software was used to extract kinematic data from raw videos of treadmill running movement of the subjects. A prospective cohort study design was used to investigate how the difference in running gait kinematic affects the outcome of lower limb injury occurrences of active sportspersons. Further, a prediction model was developed using binary logistic regression, for which IBM® SPSS® version 25 was used. All statistical analyses were tested at 0.05 (p = 0.05) level of significance. The model indicated that Range of Pelvic Obliquity (RPO) and Maximum Toe Out (MTO) were positively and Symmetry Index (SI) was negatively associated with an increased likelihood of exhibiting lower limb injury. The model explained 85.7% variance and correctly classified 93.3% cases of lower limb injury of an active sportsperson. The risk factors for lower limb injuries of a sportsperson can be identified and prediction of lower limb injury of a sportsperson is theoretically possible. To generalize the model for practical implications, the researcher suggested further research with larger sample size.
International Journal of Human Movement and Sports Sciences, 2021
For an active sportsperson, running is the most common physical activity, but it carries a high r... more For an active sportsperson, running is the most common physical activity, but it carries a high risk of musculoskeletal injuries. Half of the running injuries are identified as overuse injuries, with the most affected areas being the lower limbs. Previous studies had revealed several factors responsible for the development of running-related lower-limb injuries of sportspersons. However, there have been few studies aiming at predicting them. Therefore, the present study aimed to develop a predictive model to predict lower limb injury of active sportsperson. The BTS G-WALK system synchronised with two GoPro Hero 6 cameras were used to conduct the study on seventy-five (N=75) healthy male subjects without any lower limb injury history. The BTS G-WALK system provided spatio-temporal parameters while Kinovea software was used to extract kinematic data from raw videos of treadmill running movement of the subjects. A prospective cohort study design was used to investigate how the difference in running gait kinematic affects the outcome of lower limb injury occurrences of active sportspersons. Further, a prediction model was developed using binary logistic regression, for which IBM® SPSS® version 25 was used. All statistical analyses were tested at 0.05 (p = 0.05) level of significance. The model indicated that Range of Pelvic Obliquity (RPO) and Maximum Toe Out (MTO) were positively and Symmetry Index (SI) was negatively associated with an increased likelihood of exhibiting lower limb injury. The model explained 85.7% variance and correctly classified 93.3% cases of lower limb injury of an active sportsperson. The risk factors for lower limb injuries of a sportsperson can be identified and prediction of lower limb injury of a sportsperson is theoretically possible. To generalize the model for practical implications, the researcher suggested further research with larger sample size.
Teorìâ ta Metodika Fìzičnogo Vihovannâ, 2021
The study purpose was to follow a prospective cohort study design to use gait kinematic parameter... more The study purpose was to follow a prospective cohort study design to use gait kinematic parameters to identify the risk factors and to develop a statistical model to predict running-related lower limb injuries of sportspersons. Materials and methods. BTS G-WALK® gait analysis system was used to collect gait kinematic data of 87 subjects from an institute of physical education and sports science. The subjects were followed for a full academic season after which the researcher inquired about their injury occurrences. Binary logistic regression was used to develop a prediction model to predict lower limb injuries of sportspersons. Results. The result of the study revealed that increasing Range of Obliquity, Range of Tilt and Range of Rotation were associated with increased likelihood of future running-related lower limb injury. However, the lower Symmetry Index was associated with increase in the likelihood of future running-related lower limb injury. Conclusions. The study confirmed that it is possible to predict injury, but for practical implication further research is essential with a bigger sample size.
International Journal of Human Movement and Sports Sciences, 2020
Objective: Previous researches on sports injuries primarily focused on specific games or sports o... more Objective: Previous researches on sports injuries primarily focused on specific games or sports or on specific types of injuries. None of them had tried to explore the injury patterns of games and sports altogether. The current study tried to explore the injury patterns of sportspersons over 16 different types of games and sports. Materials and methods: Total of 1008 injury cases (649 male and 369 female, age 21.07±2.78 and 20.81± 3.01 years) between the academic sessions 2008 to 2017 were analysed. Injury data were extracted from the institute injury record book. Apart from age and gender, ' Body site of injury ', ' Types of injury ' and ' Recurring of injury ' were selected as variables for the study. Descriptive statistics, bar and pie diagram were generated using crosstabs function of IBM SPSS. Results: An average 101.80±12.59 injury was reported per year. Footballers were found to be the highest injured sportsperson (19.5%). Injury percentage of male players (63.75%) was higher compared to female (36.25%) counterparts. Lower limb area (45.28%) was found to be the highest affected body site of injury followed by upper limb area (29.47%). Acute injury constituted 50.39% of overall injuries. Most injuries were non-recurring in nature (63.65%). Further different combinations of analysis revealed more insight of injury patterns of sportspersons.
International Journal of Human Movement and Sports Sciences, 2020
Objective: Previous researches on sports injuries primarily focused on specific games or sports o... more Objective: Previous researches on sports injuries primarily focused on specific games or sports or on specific types of injuries. None of them had tried to explore the injury patterns of games and sports altogether. The current study tried to explore the injury patterns of sportspersons over 16 different types of games and sports. Materials and methods: Total of 1008 injury cases (649 male and 369 female, age 21.07±2.78 and 20.81± 3.01 years) between the academic sessions 2008 to 2017 were analysed. Injury data were extracted from the institute injury record book. Apart from age and gender, ' Body site of injury ', ' Types of injury ' and ' Recurring of injury ' were selected as variables for the study. Descriptive statistics, bar and pie diagram were generated using crosstabs function of IBM SPSS. Results: An average 101.80±12.59 injury was reported per year. Footballers were found to be the highest injured sportsperson (19.5%). Injury percentage of male players (63.75%) was higher compared to female (36.25%) counterparts. Lower limb area (45.28%) was found to be the highest affected body site of injury followed by upper limb area (29.47%). Acute injury constituted 50.39% of overall injuries. Most injuries were non-recurring in nature (63.65%). Further different combinations of analysis revealed more insight of injury patterns of sportspersons.
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Papers by Hemantajit Gogoi