Percent body fat, but not lean mass, is associated with objectively measured physical function in middle-aged women

Maturitas ◽  
2020 ◽  
Vol 142 ◽  
pp. 11-16
Author(s):  
Christie L. Ward-Ritacco ◽  
Ashley Meyer ◽  
Grace Walker ◽  
Deborah Riebe ◽  
Natalie J. Sabik
2019 ◽  
Vol 51 (Supplement) ◽  
pp. 311
Author(s):  
Christie L. Ward-Ritacco ◽  
Ashley L. Meyer ◽  
Walker Grace ◽  
Natalie J. Sabik ◽  
Deb Riebe

2000 ◽  
Vol 8 (8) ◽  
pp. 543-552 ◽  
Author(s):  
Julie A. Marshall ◽  
Gary K. Grunwald ◽  
William T. Donahoo ◽  
Sharon Scarbro ◽  
Susan M. Shetterly

2011 ◽  
Vol 141 (3) ◽  
pp. 440-446 ◽  
Author(s):  
Kathrine J. Vinknes ◽  
Stefan de Vogel ◽  
Amany K. Elshorbagy ◽  
Eha Nurk ◽  
Christian A. Drevon ◽  
...  

2021 ◽  
Vol 14 ◽  
pp. 117863882110593
Author(s):  
Darinka Korovljev ◽  
Nikola Todorovic ◽  
Valdemar Stajer ◽  
Sergej M Ostojic

Several small-scale trials indicate a positive correlation between dietary creatine intake and fat-free mass in the pediatric population; whether this connection occurs at the population-wide level remains currently unknown. The main purpose of this cross-sectional study was to calculate the amount of creatine consumed through a regular diet among U.S. boys and girls aged 8 to 19 years, and investigate the link between creatine consumption and dual-energy X-ray absorptiometry (DXA)-derived body composition indices in this population. Data were obtained from the National Health and Nutrition Examination Survey 2017-2018 round, with dietary information and whole-body DXA body composition measures extracted for respondents aged 8 to 19 years (1273 participants, 649 boys and 624 girls). Individual values for total grams of creatine consumed per day for each participant were computed using the average amount of creatine (3.88 g/kg) across all creatine-containing foods. The primary exposure was the mean daily intake of creatine; the primary and secondary outcomes comprised lean mass excluding bone mineral content (BMC), and bone mineral density, BMC, lean mass including BMC, fat mass, and percent body fat, respectively. The average intake of creatine across the sample was 0.65 ± 0.72 g/day (95% CI, from 0.61 to 0.69). Creatine positively correlated with lean mass (excluding BMC) and BMC across the whole sample ( r = .18 and .20, respectively; P < .001); a significant negative correlation was found between creatine intake and percent body fat ( r = −.09; P = .001). The higher intake of creatine was associated with higher lean mass in girls and higher BMC in boys, while taking more creatine corresponded to less body fat for both genders ( P < .05). Our findings indicate a significant correlation between dietary creatine and DXA-derived body composition biomarkers in a nationally representative cohort of U.S. youth. These results justify further research of creatine’s role in modifying body morphology in the pediatric population, taking into account the age and sex specific traits.


2017 ◽  
Vol 1 (6) ◽  
pp. 600-608 ◽  
Author(s):  
Julie K. Bower ◽  
Rachel J. Meadows ◽  
Meredith C. Foster ◽  
Randi E. Foraker ◽  
Abigail B. Shoben
Keyword(s):  
Body Fat ◽  

2021 ◽  
Vol 53 (8S) ◽  
pp. 8-8
Author(s):  
Olivia Finnegan ◽  
Sydney Reigle ◽  
Natalie Sabik ◽  
Deborah Riebe ◽  
Christie Ward-Ritacco

2014 ◽  
Vol 22 (2) ◽  
pp. 284-293 ◽  
Author(s):  
Christie L. Ward ◽  
Rudy J. Valentine ◽  
Ellen M. Evans

Adiposity, lean mass, and physical activity (PA) are known to influence physical function in older adults, although the independent influences are not completely characterized. Older adults (N= 156,Mage = 68.9 ± 6.7 yr, 85 men) were assessed for body composition via dual-energy X-ray absorptiometry, PA by accelerometer, and physical function via timed up-and-go (UP&GO), 30-s chair stand, 6-min walk (6-min WALK), and Star-Excursion Balance Test. In the absence of percentage-body-fat by PA interactions (p> .05), main effects existed such that a higher percentage body fat was associated with poorer performance in UP&GO, 30-s chair stand, and 6-min WALK (p< .05). No significant main effects were found for PA and functional performance. Adiposity explains 4.6–11.4% in physical functional variance (p< .05). Preventing increases in adiposity with age may help older adults maintain functional independence.


Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Julie K Bower ◽  
Rachel Brackett ◽  
Meredith C Foster ◽  
Randi E Foraker

Introduction: Weight loss is an important component of diabetes prevention and management because of the known effect of adiposity on insulin resistance. While both muscle (lean mass) and fat mass are known to serve important metabolic functions, most studies of obesity and diabetes use proxy measures for overall or abdominal obesity without accounting for the composition of that mass. The aim of this study was to examine the association of total and trunk lean body mass and fat mass with hemoglobin A1c (HbA1c) - an indicator of glucose control in persons with diabetes and a risk marker in non-diabetic populations - in the general U.S. population. Methods: We conducted a cross-sectional analysis of data from the NHANES collected in 1999-2006 in participants aged 18-69 years. Lean body mass and percent body fat were determined using dual energy x-ray absorptiometry (DXA); analyses were weighted and multiple imputation was applied to account for missing DXA data. Associations of body composition with HbA1C were evaluated using multiple linear regression. Results: The study sample included 1,085 participants with diagnosed diabetes (mean age 56 years, 50% male, mean HbA1c=7.6%) and 15,597 participants without diabetes (mean age 40 years, 51% women, mean HbA1c=5.3%). Trunk lean mass and total lean mass were significantly associated with lower HbA1c in adults without diabetes, independent of body mass index (BMI) and waist circumference. After adjustment for age, sex, race/ethnicity, and waist circumference, each 10 kg increase in trunk lean mass was associated with 0.07-% points lower HbA1c (95% CI: -0.09, -0.03). After adjustment for age, sex, race/ethnicity, and BMI, each 10kg increase in total lean mass was associated with 0.03-% points lower HbA1c (95% CI: -0.05, -0.0). Each 5% increase in trunk fat was associated with 0.5-% point higher HbA1c (95% CI: 0.45, 0.55) and each 5% increase in total fat was associated with 0.05-% point higher HbA1c (95% CI: 0.05, 0.06). Lean mass and percent body fat were not associated with HbA1c in participants with diagnosed diabetes (p > 0.05). Conclusions: Lean mass is independently associated with HbA1c in adults without diabetes. Interventions that target both weight loss where warranted and increasing lean mass via resistance training may have the most beneficial impact for diabetes prevention.


2016 ◽  
Vol 107 (6) ◽  
pp. e520-e525 ◽  
Author(s):  
Kelsey H. Collins ◽  
Behnam Sharif ◽  
Claudia Sanmartin ◽  
Raylene A. Reimer ◽  
Walter Herzog ◽  
...  

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