scholarly journals Body fat percentage prediction in older adults: Agreement between anthropometric equations and DXA

Author(s):  
Erika Aparecida Silveira ◽  
Larissa Silva Barbosa ◽  
Matias Noll ◽  
Hudson Azevedo Pinheiro ◽  
Cesar de Oliveira
2015 ◽  
Vol 47 ◽  
pp. 412
Author(s):  
Ian D. Connors ◽  
Rachael E. Mott ◽  
Rudra H. Trivedi ◽  
Allison M. Morrison ◽  
Alexandra M. Bishop ◽  
...  

2020 ◽  
Vol Volume 15 ◽  
pp. 2301-2311
Author(s):  
Pawel Macek ◽  
Malgorzata Terek-Derszniak ◽  
Malgorzata Biskup ◽  
Halina Krol ◽  
Jolanta Smok-Kalwat ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 855 ◽  
Author(s):  
Elena Rodríguez-Rodríguez ◽  
Ana M. López-Sobaler ◽  
Rosa M. Ortega ◽  
M. Luisa Delgado-Losada ◽  
Ana M. López-Parra ◽  
...  

Poor diet quality and obesity, especially abdominal obesity, have been associated with systemic inflammation. The neutrophil-to-lymphocyte Ratio (NLR) is an available and inexpensive inflammation biomarker. The aim of the present study was to determine the association of dietary patterns and obesity with an inflammatory state. A group of 1747 Spanish noninstitutionalized older adults individuals were included, and a food-frequency questionnaire was applied. The Global Food Score (GFS) and Healthy Eating Index for Spanish population (SHEI) were calculated. Weight, height and waist (WC) and hip circumferences were measured, and BMI, waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR) determined. In addition, body-fat percentage was measured by bioimpedance. NLR was calculated (NLR ≥ p80: 2.6; 2.8 and 2.4 as inflammatory status in the entire population, men and women, respectively). The men with inflammatory status presented significative higher values of WC, WHtR, WHR, and body-fat percentage (101.82 ± 10.34 cm, 0.61 ± 0.06, 0.98 ± 0.06, and 31.68 ± 5.94%, respectively) than those with better inflammatory status (100.18 ± 10.22 cm, 0.59 ± 0.06, 0.97 ± 0.07, and 30.31 ± 6.16%, respectively). Those males with worse inflammatory state had lower scores for protein foods (OR = 0.898 (0.812–0.993); p = 0.037). The women with NLR ≥ 2.4 had higher WHtR and WHR (0.62 ± 0.09 and 0.91 ± 0.09) than those with NLR < 2.4 (0.60 ± 0.08 and 0.90 ± 0.08). In multiple linear regression analysis, NLR was positively related with WHtR and negatively related with SHEI score (β = 0.224 ± 0.094; R2 = 0.060; p < 0.05 and β = −0.218 ± 0.101; R2 = 0.061; p < 0.05), adjusting by sex, age, marital status, education level, smoking, hours of sleeping and inflammatory diseases. In women, the higher the SHEI and GFS scores were and the better meeting the aims of cereal and vegetable servings, the less the odds of inflammatory status (OR = 0.970 (0.948–0.992); p = 0.008; OR = 0.963 (0.932–0.995); p = 0.024; OR = 0.818 (0.688–0.974); p = 0.024 and OR = 0.829 (0.730–0.942); p = 0.004, respectively). WHtR and quality of diet is related to the inflammation status in older adults regardless to the sex.


2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Erika Aparecida Silveira ◽  
Larissa Silva Barbosa ◽  
Ana Paula Santos Rodrigues ◽  
Matias Noll ◽  
Cesar De Oliveira

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250439
Author(s):  
Anne N. Hiol ◽  
Pamela R. von Hurst ◽  
Cathryn A. Conlon ◽  
Owen Mugridge ◽  
Kathryn L. Beck

Background Aging is associated with decreases in muscle strength and simultaneous changes in body composition, including decreases in muscle mass, muscle quality and increases in adiposity. Methods Adults (n = 369; 236 females) aged 65–74 years living independently were recruited from the cross-sectional Researching Eating Activity and Cognitive Health (REACH) study. Body fat percentage and appendicular skeletal muscle mass (ASM) (sum of lean mass in the arms and legs) were assessed using Dual-energy X-ray Absorptiometry (Hologic, QDR Discovery A). The ASM index was calculated by ASM (kilograms) divided by height (meters) squared. Isometric grip strength was measured using a hand grip strength dynamometer (JAMAR HAND). Results Linear regression analyses revealed that muscle strength was positively associated with the ASM index (R2 = 0.431, p < 0.001). When exploring associations between muscle strength and muscle mass according to obesity classifications (obesity ≥30% males; ≥40% females), muscle mass was a significant predictor of muscle strength in non-obese participants. However, in participants with obesity, muscle mass was no longer a significant predictor of muscle strength. Conclusions Body fat percentage should be considered when measuring associations between muscle mass and muscle strength in older adults.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A14-A15
Author(s):  
P Zendels ◽  
J Gaultney

Abstract Introduction A variety of sleep related variables have been shown to impact measures of health, including duration of sleep, consistency of sleep, quality of sleep, and sleep disorders. These can impact respiratory health, metabolic health, immune function, and more. Older adults have been shown to have different sleep schedules, with mostly consistent weeknight and weekend bedtimes and more opportunities to nap. The study investigated which aspects of sleep best predicted body size (averaged standardized body mass index and percent body fat indices). Methods A sample of 304 older adults (55+) participated in surveys and health measures in an urban area in the southeastern United States. Survey data collected were reports of sleep during the last month, including duration at night, nap duration, measures of quality, typical weeknight and weekend bedtime, and reports of possible sleep disorders. Physiological measures, including height, weight, BMI, body fat percentage, blood sugars, blood fats, and fitness tests were conducted. Sleep data were weighted ((5*weeknight+2*weekend)/7) across the week. A hierarchical multiple regression model was run with a standardized average of BMI and body fat percentage with multiple sleep variables as a predictor, controlling for age and socioeconomic status. Results After controlling for age and socioeconomic status (SES), symptoms of obstructive sleep apnea, night sleep duration, nap duration, difficulty initiating and maintaining sleep, sleep midpoint, duration inconsistencies and midpoint inconsistences were added to the regression. SES and duration inconsistencies were significant predictors, explaining 16% of the variance in body size. Conclusion Inconsistent bedtimes may be associated with larger body size. Encouraging older adults to have consistent sleep schedules could help preserve health as they age. This may also reduce rates of disorders like obstructive sleep apnea, which are associated with higher BMI, and help promote better overall sleep quality and health. However, these older adults reported fairly consistent sleep midpoint, limiting interpretation of this variable. Support Psychological Sciences department funding


2017 ◽  
Vol 25 (2) ◽  
pp. 254-260 ◽  
Author(s):  
José I. Recio-Rodríguez ◽  
Natalia Sanchez-Aguadero ◽  
Emiliano Rodríguez-Sánchez ◽  
Vicente Martinez-Vizcaino ◽  
Carlos Martin-Cantera ◽  
...  

This study determined the relationship between self-reported and objective measurements of physical activity with adiposity markers in a random sample of community-dwelling older adults. The sample included 439 individuals over 65 years (age 71.1 ± 7.8; 54.2% women). Regular physical activity information was collected using self-reported (questionnaire, 7-day-PAR) and objective measurements (accelerometer ActiGraph GT3X) over 7 days. Anthropometric parameters included body mass index, body fat percentage, and waist circumference. The number of patients considered active was 28% according to the results of 7-day PAR, and 69% according to objective measures of accelerometry. With every daily increase of 10 min of sedentary activity, the BMI, body fat percentage, and waist circumference values increased by 0.04 units, 0.14%, and 0.14 cm, respectively. According to the accelerometry data, being active was a protective factor for presenting obesity criteria (OR = 0.34, CI 95% 0.19–0.59). Objective but non self-reported physical activity was associated with adiposity markers in older adults.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 55-55
Author(s):  
Makenna Tanner ◽  
James LeCheminant ◽  
Emily Patten ◽  
Ron Hager

Abstract Objectives To determine the relationship among body fat, cardiorespiratory fitness, and carotid artery thickness in a large group of older adults. Methods Data were collected at the Huntsman World Senior Games held in St. George, Utah between 2016–2019. Participants visited the Dixie Convention Center (St. George, UT) for free health screenings associated with the Games. The data were cross-sectional; for repeat participants only the most recent results were analyzed. The measures of interest for this study included: body fat, body mass index (BMI), cardiorespiratory fitness (predicted VO2max), and carotid artery intima media thickness (CIMT). Body fat percentage was measured using bioelectrical impedance. BMI was calculated via weight (kg) and height (m2). Predicted VO2max was calculated at rest using a heart rate monitor and the validated Polar fitness test. CIMT was obtained via images of the right and left carotid arteries, visualized and captured with a portable diagnostic ultrasound system. Differences by sex were determined using independent t-tests. Multiple regression was used to examine associations between measures. Results For this analysis, 649 participants (232 women; 326 men; 68.13 ± 8.71 y, 25.15 ± 4.92 kg/m2) were included. Women had a higher body fat percentage than men (32.00 vs. 22.42%) (t &lt; 0.0001). However, men had a significantly higher BMI (26.28 vs. 24.01 kg/m2) and cardiorespiratory fitness (40.22 vs. 38.82 ml/kg/min) (t &lt; 0.05) than women. Accounting for age and sex, body fat % significantly predicted CIMT thickness (P &lt; 0.05) but BMI (P = 0.0853) and cardiorespiratory fitness did not predict CIMT thickness (P &gt; 0.05). Conclusions CIMT thickness appears to be related to body fat percentage among older adults. Subsequent studies could examine how reduction in body fat changes CIMT thickness and how that influences risk of chronic disease, such as stroke. Funding Sources There was no funding for this project.


Bone ◽  
2020 ◽  
Vol 140 ◽  
pp. 115546
Author(s):  
Anoohya Gandham ◽  
Ayse Zengin ◽  
Maxine P. Bonham ◽  
Tania Winzenberg ◽  
Saliu Balogun ◽  
...  

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