The Relationship Between Body Composition And Y-balance Testing In D2 Collegiate Athletes

Abstract Background Understanding the relationships between physical fitness characteristics and sports injury may assist with the development of injury minimisation programs. The purpose of this systematic review was to investigate the association between physical fitness attributes and sports injury in female, team ball sport players. Methods Four scientific databases (MEDLINE, EMBASE, SPORTDiscus, Scopus) and reference lists of relevant research were searched for eligible studies up to September 2, 2019. Full-text articles examining the relationship between physical fitness and sports injury in female, team ball sport players were included. A modified Downs and Black checklist was used to assess methodological quality. Data synthesis determined summary conclusions based on the number of significant relationships divided by the total relationships investigated and reported as a percentage. Level of certainty was identified for summary conclusions based on level of evidence. Sub-analyses regarding competition level, age, and single injury types were also conducted. Results A total of 44 studies were included. Data synthesis revealed no associations (low to moderate certainty) between body composition (1/9; 11%), flexibility (18–20%), and balance (2/8; 25%) and ‘any injury’ classification. No associations (mostly of moderate certainty) were found between flexibility (0–27%), muscular strength (0–27%), and body composition (14–33%) and various body region injury classifications, whereas mixed summary conclusions were shown for balance (0-48%). Many associations between physical fitness and sports injury were deemed ‘unknown’ or with an insufficient level of certainty. Sub-analyses revealed no association between strength and noncontact ACL injuries (0/5; 0%) or ankle sprains (0/12; 0%), and between flexibility and ankle sprains (1/5; 20%); however, insufficient certainty of these results exists. Clear associations were concluded between balance and lower body injuries in female, non-elite (10/16; 63%) and junior (9/12; 75%) team ball sport players, with moderate and insufficient certainty of these results, respectively. Conclusion Limited evidence is available to demonstrate relationships between physical fitness and sports injury in female, team ball sport players. High-quality evidence investigating the multifactorial nature of sports injury, including the interactions physical fitness qualities have with other injury determinants, is needed to better understand the role of physical fitness in minimising sports injuries in female, team ball sport players. Trial Registration CRD42017077374 (PROSPERO on September 14, 2017).

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The product of trunk muscle area and density on the CT image is a good indicator of energy expenditure in patients with or at risk for COPD

Respiratory Research ◽

10.1186/s12931-021-01621-2 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Toru Shirahata ◽

Hideaki Sato ◽

Sanehiro Yogi ◽

Kaiji Inoue ◽

Mamoru Niitsu ◽

...

Keyword(s):

At Risk ◽

Body Composition ◽

Energy Expenditure ◽

Trunk Muscle ◽

Rectus Abdominis ◽

Activity Level ◽

Erector Spinae ◽

Trunk Muscles ◽

Muscle Area ◽

The Relationship

Abstract Background Physical inactivity due to cachexia and muscle wasting is well recognized as a sign of poor prognosis in chronic obstructive pulmonary disease (COPD). However, there have been no reports on the relationship between trunk muscle measurements and energy expenditure parameters, such as the total energy expenditure (TEE) and physical activity level (PAL), in COPD. In this study, we investigated the associations of computed tomography (CT)-derived muscle area and density measurements with clinical parameters, including TEE and PAL, in patients with or at risk for COPD, and examined whether these muscle measurements serve as an indicator of TEE and PAL. Methods The study population consisted of 36 male patients with (n = 28, stage 1–4) and at risk for (n = 8) COPD aged over 50 years. TEE was measured by the doubly labeled water method, and PAL was calculated as the TEE/basal metabolic rate estimated by the indirect method. The cross-sectional areas and densities of the pectoralis muscles, rectus abdominis muscles, and erector spinae muscles were measured. We evaluated the relationship between these muscle measurements and clinical outcomes, including body composition, lung function, muscle strength, TEE, and PAL. Results All the muscle areas were significantly associated with TEE, severity of emphysema, and body composition indices such as body mass index, fat-free mass, and trunk muscle mass. All trunk muscle densities were correlated with PAL. The product of the rectus abdominis muscle area and density showed the highest association with TEE (r = 0.732) and PAL (r = 0.578). Several trunk muscle measurements showed significant correlations with maximal inspiratory and expiratory pressures, indicating their roles in respiration. Conclusions CT-derived measurements for trunk muscles are helpful in evaluating physical status and function in patients with or at risk for COPD. Particularly, trunk muscle evaluation may be a useful marker reflecting TEE and PAL.

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The relationship between diet quality and falls risk, physical function and body composition in older adults

The journal of nutrition health & aging ◽

10.1007/s12603-015-0542-8 ◽

2015 ◽

Author(s):

Disa Smee ◽

K. Pumpa ◽

M. Falchi ◽

F. E. Lithander

Keyword(s):

Older Adults ◽

Body Composition ◽

Physical Function ◽

Diet Quality ◽

Falls Risk ◽

The Relationship

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Developmental changes in the relationship between IGF-I and body composition during puberty

Growth Hormone & IGF Research ◽

10.1016/s1096-6374(98)80123-8 ◽

1998 ◽

Vol 8 (4) ◽

pp. 283-288 ◽

Cited By ~ 7

Author(s):

Philip R. Beckett ◽

William W. Wong ◽

Kenneth C. Copeland

Keyword(s):

Body Composition ◽

Developmental Changes ◽

Igf I ◽

The Relationship

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The relationship between body composition and sleep architecture in athletes

Sleep Medicine ◽

10.1016/j.sleep.2021.08.028 ◽

2021 ◽

Author(s):

Eri Kitamura ◽

Yu Kawasaki ◽

Takatoshi Kasai ◽

Itsuki Midorikawa ◽

Nanako Shiroshita ◽

...

Keyword(s):

Body Composition ◽

Sleep Architecture ◽

The Relationship

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ASSOCIATION BETWEEN BERG BALANCE, PHYSIOLOGICAL PROFILE ASSESSMENT AND PHYSICAL ACTIVITY, PHYSICAL FUNCTION AND BODY COMPOSITION: A CROSS-SECTIONAL STUDY

Journal of Frailty & Aging ◽

10.14283/jfa.2015.57 ◽

2015 ◽

pp. 1-7

Author(s):

D.J. SMEE ◽

H.L. BERRY ◽

G. WADDINGTON ◽

J. ANSON

Keyword(s):

Body Composition ◽

Physical Function ◽

Risk Measures ◽

Berg Balance Scale ◽

Cross Sectional ◽

Physiological Profile ◽

Falls Risk ◽

Balance Scale ◽

The Relationship ◽

Physiological Profile Assessment

Background: Falls are of great concern to older adults and costly to the health system. In addition the relationship between falls risk and falls risk predictor characteristics is complex. Objective: This study aimed to explore the relationship between two objective fall-risk measures tools, the Physiological Profile Assessment and the Berg Balance Scale and to determine how an individual’s sex, level of physical function, health-related and body composition characteristics impact these objective falls risk measures. Design: A cross-sectional, observational study. Participants: 245 community-dwelling older adults (M age=68.12 years, SD=6.21; 69.8% female). Measurements: Participants were assessed for falls-risk (Physiological Profile Assessment and the Berg Balance Scale), physical activity, physical functional and body composition characteristics. Pearson product-moment correlation coefficients were calculated to examine bivariate relationships and hierarchical multiple linear regression modelling was used to estimate the contribution of each predictor in explaining variance in falls-risk. Results: In females, there was a weak association between the two objective falls-risk measures (r =-0.17 p <0.05). The number of falls in the previous 12 months explained 6% of variance in Physiological Profile Assessment scores, with bone density of the lumbar spine contributing a further 1%. In males and females, variance in the Berg Balance Scale showed that age (25%) and physical function (16% for females, 28% for males) contributed significantly to the explaining variance in the falls-risk measure. Conclusion: Sex differences are apparent and as such males and females should be assessed (and potentially treated) differently with regards to falls risk. Results indicate that both falls risk assessment tools measure aspects of balance but are not interchangeable. The Berg Balance Scale may be more discriminative in older, less functioning adults and the Physiological Profile Assessment is more useful in assessing falls risk in females.

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