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Full-Text Articles in Physiology
Influence Of Body Composition On Functional Movement Among Police Officers, Stacy L. Gnacinski, Frankie Porter, Madison N. Renner, Tessa Laska
Influence Of Body Composition On Functional Movement Among Police Officers, Stacy L. Gnacinski, Frankie Porter, Madison N. Renner, Tessa Laska
International Journal of Exercise Science
International Journal of Exercise Science 17(4): 418-428, 2024. Research indicates that the Functional Movement Screen (FMS) can be used to measure functional movement quality and characterize musculoskeletal injury risk in tactical populations. Although body composition has been linked to chronic disease in police officers, the link between body composition and functional movement quality has not been explored in this population. As such, the purposes of the study were to examine: (a) the effect of body mass index (BMI) on functional movement, and (b) determine the significance of fat mass (FM) and fat free mass (FFM) in predicting functional movement among …
Body Mass Index Superior To Body Adiposity Index In Predicting Adiposity In Female Collegiate Athletes., Annika Grams, Anthony Acevedo, Riley Morton, Payton Price, Kyli Alvarez, Malia Nowlen, Estephania Campa, Zachary Zeigler
Body Mass Index Superior To Body Adiposity Index In Predicting Adiposity In Female Collegiate Athletes., Annika Grams, Anthony Acevedo, Riley Morton, Payton Price, Kyli Alvarez, Malia Nowlen, Estephania Campa, Zachary Zeigler
International Journal of Exercise Science
International Journal of Exercise Science 16(4): 1487-1498, 2023. Body mass index (BMI) is moderately correlated with %Fat and often used to assess obesity in athletes. Limited research assesses BMI as a surrogate for %Fat in female collegiate athletes. Body Adiposity Index (BAI) is an anthropometric measurement suggested to be superior to BMI at predicting adiposity but has not been well assessed within female athletic populations. This study aimed to determine if BAI is superior to other anthropometric indices to predict %Fat in female collegiate athletes and college-aged female non-athletes. Collegiate female athletes and female non-athletes were invited into the laboratory …
Factors Associated With Diabetes Risk In South Texas College Students, Jordan W. Stack, Sara E. Mahoney, Christopher M. Hearon
Factors Associated With Diabetes Risk In South Texas College Students, Jordan W. Stack, Sara E. Mahoney, Christopher M. Hearon
International Journal of Exercise Science
International Journal of Exercise Science 7(2) : 110-118, 2014. South Texas has a high prevalence of diabetes and college students may be particularly at risk. While increased BMI, sedentary activity and depression have been associated with diabetes progression in the general population, it has not been established whether these factors contribute to increased diabetes risk in college students. The purpose of this study was to assess diabetes risk and determine whether depressive symptoms or physical activity patterns are associated with increased diabetes risk in college students. Sixty-nine college students were assessed for diabetes risk using the Finnish Diabetes Risk Score …
Correlational Analysis Of Bmi And Balance In Adults 50 And Over, Rachel D. Latimer, Casi Helbig
Correlational Analysis Of Bmi And Balance In Adults 50 And Over, Rachel D. Latimer, Casi Helbig
International Journal of Exercise Science: Conference Proceedings
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Development And Comparison Of Two Field-Based Body Fat Prediction Equations: Nhanes 1999-2004, Michael Zanovec, Jing Wang, Carol E. O'Neil
Development And Comparison Of Two Field-Based Body Fat Prediction Equations: Nhanes 1999-2004, Michael Zanovec, Jing Wang, Carol E. O'Neil
International Journal of Exercise Science
International Journal of Exercise Science 5(3) : 223-231, 2012. Clinical guidelines define obesity in terms of excess body weight adjusted for height (i.e., bodymass index [BMI] categories) and/or gender-specific waist circumference (WC) cut-point values. Since body composition, particularly fat mass, is the most variable among individuals due to differences by gender, age, and race, and total percent body fat (%BF) can be estimated accurately using dual-energy X-ray absorptiometry (DXA), the purpose of this study was to develop and compare two field-based body fat prediction equations suitable for a nationally representative sample of the US adult population. Data were analyzed from …
Body Mass Index Is Not A Reliable Tool To Predict Obesity In Postmenopausal Women, João Paulo Botero, Gilberto Eiji Shiguemoto, Jonato Prestes, Richard Diego Leite
Body Mass Index Is Not A Reliable Tool To Predict Obesity In Postmenopausal Women, João Paulo Botero, Gilberto Eiji Shiguemoto, Jonato Prestes, Richard Diego Leite
International Journal of Exercise Science: Conference Proceedings
The aim of this study was to compare two methods of body composition evaluation in postmenopausal women, and establish correlations with the Body Mass Index (BMI). Twenty seven postmenopausal women (58.03±5.33) were evaluated by two body composition methods: Bioimpedance (Biodynamics 310) and Dual Energy X-Ray Absorptiometry (DXA). Results of the fat mass showed by the DXA was 38.21±7.46% of the body mass, and 39.05±4.40% by the Bioimpedance, with 0.76 of correlation (Perason’s correlation test). In the other hand, the BMI found was 28.08±4.90. There was a high correlation between DXA and Bioimpedance; however low correlation between DXA and Bioimpedance with …
Exploring Obesity Among Wheelchair Users: Bmi Vs Body Compostion, Katherine Froehlich-Grobe
Exploring Obesity Among Wheelchair Users: Bmi Vs Body Compostion, Katherine Froehlich-Grobe
International Journal of Exercise Science: Conference Proceedings
Author(s): Katherine Froehlich-Grobe, PhD1 & Richard A. Washburn, PhD2 Affiliations: 1 University of Texas School of Public Health, Dallas Regional Campus, 2 Center for Physical Activity and Weight Management, University of Kansas Purpose: Body mass index (BMI) is commonly used to indicate weight status but has been critiqued for being insensitive to body composition. Americans with disabilities have significantly higher obesity rates than those without when BMI has been used as the indicator of weight status. Examining obesity prevalence based on body composition among this group is warranted. As the life expectancy of those with disabilities has increased to approximate …
Physical Activity Is Associated With Percent Body Fat And Body Composition But Not Bmi In White And Black College Students, Michael Zanovec†, Anantha P. Lakkakula†, Lisa G. Johnson‡, Georgianna Tuuri‡
Physical Activity Is Associated With Percent Body Fat And Body Composition But Not Bmi In White And Black College Students, Michael Zanovec†, Anantha P. Lakkakula†, Lisa G. Johnson‡, Georgianna Tuuri‡
International Journal of Exercise Science
The objective of this study was to examine the association of self-reported physical activity (PA) with body composition in 290 college students (49% male, 60% White) 18-25 years of age. Outcome measures included: self-reported PA levels calculated in MET-hrs·wk-1 from the International Physical Activity Questionnaire (IPAQ); body mass index (BMI; in kg·m-2); and body composition variables estimated by dual-energy X-ray absorptiometry (DXA). Mean activity levels of the sample were 39.8 ± 23.8 MET-hrs·wk-1. Participants were divided into quartiles of PA levels: ≥0 to <24.0, ≥24.0 to <34.0, ≥34.0 to <51.25, and ≥51.25 MET-hrs·wk-1 and body composition variables were compared by group. Chi-square analyses revealed a significant difference for gender by PA quartile [χ2 (3, N=290) = 32.42, p < 0.0001], and for gender by race by PA quartile [χ2 (9, N=290) = 37.82, p < 0.0001]. MET-hrs·wk-1 was inversely correlated with %BF (r = -0.40, p < 0.0001) but not BMI (r = 0.05, p = 0.43). When comparing body composition variables across PA quartiles, no significant differences were observed for BMI; however, subjects in the highest quartile of PA had a lower percent body fat (%BF) and fat mass (FM), and a higher lean-tissue mass (LTM) compared to subjects in the other three groups. In this cohort of young adults, participants in the highest activity group had a more fit body composition profile (e.g., lower %BF, lower FM, and higher LTM) which was not reflected in BMI and was independent of gender and race.