Comparison of Parametric Indices of Anthropometric and Biomechanical Characteristics of Female Basketball Players, Volleyball Players and Handball Players

Objective: This study aimed to Compare parametric indices of anthropometric and biomechanical characteristics of female basketball, volleyball, and handball players. Methods: This research is purposive comparative-descriptive study. A total of 100 female students (35 handball players, 37 volleyball players, and 28 basketball players) participated in this study. The normality of the data distribution was examined using the Kolmogorov-Smirnov test. The Mean±SD and percentage rank to describe the information, multiple correlation coefficient to reduce the overlapping data, and analysis of the main components of the data to determine the leading indicators of anthropometric and biomechanical characteristics of female handball, volleyball, and basketball players and ANOVA was used to compare the corresponding leading indices in different age groups. Results: Ten parameters for female handball and volleyball players and nine parameters for female basketball players were highlighted as the leading indicators. Head width, leg length, ankle width, scapular fat for basketball and handball players, biceps and weight for handball and volleyball players, abdominal fat, leg length for volleyball and basketball players, and height introduced as the leading common indicators among all groups of players. The results related to the variance extracted in each of the main components of anthropometric features after rotation showed that the main parameters related to anthropometric characteristics in female handball players are: height, weight, knee-to-ground height, head width, Head circumference, waist circumference, leg length, ankle width, scapular fat, and biceps fat; in female volleyball players are: height, weight, trunk width at the navel, sitting pelvis width, elbow circumference, knee circumference, foot arc circumference, leg length, biceps fat, triceps fat; in female basketball players are: height, elbow circumference, head width, trunk circumference at chest level, trunk circumference at navel level, leg length, ankle width, scapular fat, and abdominal fat; and in players of the three groups of athletes are: height, knee-to-ground height, elbow circumference, head circumference, waist circumference, trunk circumference at chest level, scapular fat and maximum forearm circumference. Conclusion: The height is the leading standard index between different female handball, volleyball, and basketball players. Most of the anthropometric characteristics are various, related to the type of sport. Also, the biomechanical characteristics vary according to the unique skills in each discipline. In some sports, the biomechanical factors vary due to the features of the common sport and the design of specific training programs. Every sport needs to evaluate and study the anthropometric and biomechanical aspects of individuals.

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Waist Circumference Adjusted for Body Mass Index and Intra-Abdominal Fat Mass

PLoS ONE ◽

10.1371/journal.pone.0032213 ◽

2012 ◽

Vol 7 (2) ◽

pp. e32213 ◽

Cited By ~ 14

Author(s):

Tina Landsvig Berentzen ◽

Lars Ängquist ◽

Anna Kotronen ◽

Ronald Borra ◽

Hannele Yki-Järvinen ◽

...

Keyword(s):

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Fat Mass ◽

Abdominal Fat

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Changes in Waist Circumference in HIV-Infected Individuals Initiating a Raltegravir or Protease Inhibitor Regimen: Effects of Sex and Race

Open Forum Infectious Diseases ◽

10.1093/ofid/ofy201 ◽

2018 ◽

Vol 5 (11) ◽

Cited By ~ 10

Author(s):

Priya Bhagwat ◽

Ighovwerha Ofotokun ◽

Grace A McComsey ◽

Todd T Brown ◽

Carlee Moser ◽

...

Keyword(s):

Waist Circumference ◽

Repeated Measures ◽

Health Management ◽

Strong Predictor ◽

Abdominal Fat ◽

Baseline Viral Load ◽

Predominantly Black ◽

Therapy Initiation ◽

Treatment Naïve ◽

Inhibitor Regimen

Abstract Background This study investigates the association of clinical and demographic predictors with abdominal fat gain, measured using waist circumference (WC) and self-reported abdominal size. Methods We analyzed data from ACTG A5257, a clinical trial that randomized treatment-naïve HIV-infected participants to 1 of 3 antiretroviral regimens: raltegravir (RAL) or the protease inhibitors (PIs) atazanavir/ritonavir (ATV/r) or darunavir/ritonavir (DRV/r), each in combination with tenofovir disoproxil fumarate/emtricitabine. Associations of treatment and baseline/demographic characteristics with 96-week WC change were assessed using repeated-measures models. Ordinal logistic regression was used to examine the associations of predictors with week 96 self-reported abdominal changes. Results The study population (n = 1809) was 76.0% male and predominantly black non-Hispanic (41.9%) and white non-Hispanic (34.1%). Mean baseline WC was 90.6 cm, with an average 96-week increase of 3.4 cm. WC increases were higher in the RAL arm compared with DRV/r (P = .0130). Females experienced greater increases in WC on RAL vs ATV/r than males (P = .0065). Similarly, a larger difference in WC change was found for RAL vs DRV/r for black vs nonblack individuals (P = .0043). A separate multivariable model found that in addition to the treatment regimen, higher baseline viral load and lower CD4+ were also associated with WC increases. Conclusions With antiretroviral therapy initiation, higher WC increases in the RAL arm compared with PIs were more pronounced in female and black participants, and a more advanced baseline HIV disease state was a strong predictor of larger abdominal increases. Understanding factors predisposing individuals to abdominal fat gain could inform health management after therapy initiation.

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Fitness Alters the Associations of BMI and Waist Circumference with Total and Abdominal Fat

Obesity Research ◽

10.1038/oby.2004.60 ◽

2004 ◽

Vol 12 (3) ◽

pp. 525-537 ◽

Cited By ~ 73

Author(s):

Ian Janssen ◽

Peter T. Katzmarzyk ◽

Robert Ross ◽

Arthur S. Leon ◽

James S. Skinner ◽

...

Keyword(s):

Waist Circumference ◽

Abdominal Fat

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Relationship of Changes in Physical Fitness and Anthropometric Characteristics over One Season, Biological Maturity Status and Injury Risk in Elite Youth Ski Racers: A Prospective Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17010364 ◽

2020 ◽

Vol 17 (1) ◽

pp. 364 ◽

Cited By ~ 3

Author(s):

Lisa Steidl-Müller ◽

Carolin Hildebrandt ◽

Erich Müller ◽

Christian Raschner

Keyword(s):

Physical Fitness ◽

Injury Risk ◽

Body Height ◽

Winter Season ◽

Height Velocity ◽

Leg Length ◽

Anthropometric Characteristics ◽

Fitness Parameters ◽

Biological Maturity ◽

Ski Racers

Alpine ski racing is a sport with a high risk of injuries. In order to contribute to the longitudinal career development of young athletes, prevention measures should be elaborated. Therefore, the aim of the present study was to investigate prospectively the role of biological maturity status, and changes in anthropometric characteristics and physical fitness parameters over one season in elite youth ski racers younger than 15 years. Eighty-nine elite youth ski racers (39 females, 50 males), aged 10–14 years (mean age: 12.1 ± 1.3), were investigated. Anthropometric characteristics and physical fitness parameters were assessed prior and after the winter season; traumatic and overuse injuries were recorded over the 32 weeks. Binary logistic regression analyses (R² = 0.202–0.188) revealed that the biological maturity (Wald = 4.818; p = 0.028), and changes over the season in the jump agility test (Wald = 4.692; p = 0.03), in body height (Wald = 6.229; p = 0.013), and in leg length (Wald = 4.321; p = 0.038) represented significant injury risk factors. Athletes who could improve their jump agility performance more, had smaller changes in the anthropometric characteristics and who were closer to their peak height velocity were at a lower injury risk. In the context of injury prevention, regular neuromuscular training should be incorporated, and phases of rapid growth have to be considered.

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Associations between head circumference, leg length and dementia in a Korean population

International Journal of Geriatric Psychiatry ◽

10.1002/gps.1833 ◽

2007 ◽

Vol 23 (1) ◽

pp. 41-48 ◽

Cited By ~ 35

Author(s):

Jae-Min Kim ◽

Robert Stewart ◽

Il-Seon Shin ◽

Sung-Wan Kim ◽

Su-Jin Yang ◽

...

Keyword(s):

Head Circumference ◽

Korean Population ◽

Leg Length

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THE INFLUENCE OF ANTHROPOMETRIC CHARACTERISTICS AND ANAEROBIC CAPACITY OF THE LOWER LIMBS ON THE TECHNICAL SKILLS OF ADOLESCENT BASKETBALL PLAYERS

RESEARCH IN PHYSICAL EDUCATION, SPORT AND HEALTH ◽

10.46733/pesh209007h ◽

2020 ◽

Vol 9 ◽

pp. 7-12

Author(s):

Nikolay Hadzhiev

Keyword(s):

Anaerobic Capacity ◽

Technical Skills ◽

Lower Limbs ◽

Basketball Players ◽

Anthropometric Characteristics

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Leg length inequality and its relationship with injuries incidence of young basketball players: an observational study

Manual Therapy Posturology & Rehabilitation Journal ◽

10.17784/mtprehabjournal.2016.14.419 ◽

2016 ◽

Vol 14 ◽

pp. 419

Author(s):

Lucas Villalta Santos ◽

Mateus Francisco Rossi ◽

Claudia Santos Oliveita ◽

Hugo Pasin Neto

Keyword(s):

Functional Limitations ◽

Lower Limbs ◽

High Rate ◽

Injury Incidence ◽

Leg Length ◽

Basketball Players ◽

Leg Length Inequality ◽

Training Time ◽

Survey Report ◽

Postural Changes

Background: The leg length inequality (LLI) creates postural changes collaborating with the emergence of functional limitations and musculoskeletal disorders. In a sport like basketball inequality of the lower limbs may be added to the demands of the sport and generate an increase in the incidence of injuries. The aim of this study was to identify young basketball players from with structural or functional LLI and its influence in injury incidence in a period of 6 months. Methods: 18 players were followed with an average age of 14.50 ± 1.86 of a basketball team from the city of Sorocaba for a period of 6 months. At the beginning and end of that period were applied tests from the Morbidity Survey Report modified for basketball to obtain data such as physical characteristics, training time, incidence of injuries, quantitative and qualitative measurement of the length of the lower limbs. Results: 72.2% of players had LLI and 50% had some kind of injury during this period, among the most common, sprains and muscle strains. Conclusions: There was a high rate of players with LLI and a positive relationship between this inequality with the incidence of injury.

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