<p>Assessment of Age-Induced Changes in Body Fat Percentage and BMI Aided by Bayesian Modelling: A Cross-Sectional Cohort Study in Middle-Aged and Older Adults</p>

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.

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Body Fat, Cardiorespiratory Fitness, Carotid Artery Thickness Among Older Adults Participating in the Senior Games

Current Developments in Nutrition ◽

10.1093/cdn/nzab033_055 ◽

2021 ◽

Vol 5 (Supplement_2) ◽

pp. 55-55

Author(s):

Makenna Tanner ◽

James LeCheminant ◽

Emily Patten ◽

Ron Hager

Keyword(s):

Older Adults ◽

Carotid Artery ◽

Cardiorespiratory Fitness ◽

Body Fat ◽

Fat Body ◽

Bioelectrical Impedance ◽

Intima Media Thickness ◽

Body Fat Percentage ◽

Fat Percentage ◽

Cross Sectional

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 < 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 < 0.05) than women. Accounting for age and sex, body fat % significantly predicted CIMT thickness (P < 0.05) but BMI (P = 0.0853) and cardiorespiratory fitness did not predict CIMT thickness (P > 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.

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Body fat percentage assessment by ultrasound subcutaneous fat thickness measurements in middle-aged and older adults

Clinical Nutrition ◽

10.1016/j.clnu.2018.11.017 ◽

2019 ◽

Vol 38 (6) ◽

pp. 2659-2667 ◽

Cited By ~ 3

Author(s):

Robert S. Thiebaud ◽

Takashi Abe ◽

Jeremy P. Loenneke ◽

Eiji Fujita ◽

Takuya Akamine

Keyword(s):

Older Adults ◽

Body Fat ◽

Subcutaneous Fat ◽

Body Fat Percentage ◽

Middle Aged ◽

Fat Percentage ◽

Subcutaneous Fat Thickness ◽

Fat Thickness ◽

Thickness Measurements

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Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study

Diabetes Metabolic Syndrome and Obesity Targets and Therapy ◽

10.2147/dmso.s248444 ◽

2020 ◽

Vol Volume 13 ◽

pp. 1587-1597 ◽

Cited By ~ 2

Author(s):

Pawel Macek ◽

Malgorzata Biskup ◽

Malgorzata Terek-Derszniak ◽

Michal Stachura ◽

Halina Krol ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Body Fat ◽

Body Fat Percentage ◽

Fat Percentage ◽

Cross Sectional

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Body Fat Percentage Is Associated With Skeletal Muscle TLR4 And Tace Expression In Older Adults

Medicine & Science in Sports & Exercise ◽

10.1249/01.mss.0000477555.44047.f1 ◽

2015 ◽

Vol 47 ◽

pp. 412

Author(s):

Ian D. Connors ◽

Rachael E. Mott ◽

Rudra H. Trivedi ◽

Allison M. Morrison ◽

Alexandra M. Bishop ◽

...

Keyword(s):

Older Adults ◽

Skeletal Muscle ◽

Body Fat ◽

Body Fat Percentage ◽

Fat Percentage

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Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese

Medicine ◽

10.1097/md.0000000000008126 ◽

2017 ◽

Vol 96 (39) ◽

pp. e8126 ◽

Cited By ~ 19

Author(s):

Yiu-Hua Cheng ◽

Yu-Chung Tsao ◽

I-Shiang Tzeng ◽

Hai-Hua Chuang ◽

Wen-Cheng Li ◽

...

Keyword(s):

Insulin Resistance ◽

Body Mass Index ◽

Waist Circumference ◽

Body Mass ◽

Body Fat ◽

Body Fat Percentage ◽

Middle Aged ◽

Fat Percentage ◽

Total Body Fat ◽

Total Body

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Association between Neutrophil-to-Lymphocyte Ratio with Abdominal Obesity and Healthy Eating Index in a Representative Older Spanish Population

Nutrients ◽

10.3390/nu12030855 ◽

2020 ◽

Vol 12 (3) ◽

pp. 855 ◽

Cited By ~ 1

Author(s):

Elena Rodríguez-Rodríguez ◽

Ana M. López-Sobaler ◽

Rosa M. Ortega ◽

M. Luisa Delgado-Losada ◽

Ana M. López-Parra ◽

...

Keyword(s):

Older Adults ◽

Body Fat ◽

Abdominal Obesity ◽

Healthy Eating ◽

Healthy Eating Index ◽

Body Fat Percentage ◽

Fat Percentage ◽

Lymphocyte Ratio ◽

Inflammatory Status ◽

Inflammatory State

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.

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Body fat percentage assessment by skinfold equation, bioimpedance and densitometry in older adults

Archives of Public Health ◽

10.1186/s13690-020-00449-4 ◽

2020 ◽

Vol 78 (1) ◽

Author(s):

Erika Aparecida Silveira ◽

Larissa Silva Barbosa ◽

Ana Paula Santos Rodrigues ◽

Matias Noll ◽

Cesar De Oliveira

Keyword(s):

Older Adults ◽

Body Fat ◽

Body Fat Percentage ◽

Fat Percentage

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Evaluation of the obesity in the adolescents by assessing the body mass index and body fat percentage: A cross sectional study

International Journal of Advanced Community Medicine ◽

10.33545/comed.2019.v2.i2a.01 ◽

2019 ◽

Vol 2 (2) ◽

pp. 01-05

Author(s):

Mohammad Iliyas C ◽

Honnegowda Thittamaranahalli Muguregowda ◽

Ananthesh BG ◽

Riyaz M

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Body Fat ◽

Cross Sectional Study ◽

The Body ◽

Body Fat Percentage ◽

Sectional Study ◽

Fat Percentage ◽

Cross Sectional

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PERBEDAAN ASUPAN ENERGI, MAKRONUTRIEN, STATUS GIZI, DAN VO2 MAKS ANTARA ATLET SEPAK BOLA ASRAMA DAN NON ASRAMA [The Differences of Energy, Macronutrient Intake, Nutritional Status, and VO2 Max between Boarding and Non-Boarding Football Athletes]

Media Gizi Indonesia ◽

10.20473/mgi.v14i1.14-26 ◽

2019 ◽

Vol 14 (1) ◽

pp. 14

Author(s):

Ayu Alfitasari ◽

Fillah Fithra Dieny ◽

Martha Ardiaria ◽

A. Fahmi Arif Tsani

Keyword(s):

Nutritional Status ◽

Physical Fitness ◽

Dietary Intake ◽

Body Fat ◽

Bioelectrical Impedance ◽

Body Fat Percentage ◽

Macronutrient Intake ◽

Fat Percentage ◽

Vo2 Max ◽

Cross Sectional

Football athletes require high-quality physical fitness that affects achievement. Nutritional status was the outcome of dietary intake and can influence physical fitness. Athletes who boarded have an organized eating arrangement, so the dietary intake is more assured. The objective of this study was to analyze the differences of energy, macronutrients intake, nutritional status, and V2 max between boarding and nonboarding football athletes aged 13 - 18 years. A cross-sectional study was done in 32 people who divided into two groups (boarding and non-boarding football athletes).The collected datas included food intake using 6x24 hoursfood recalls, height using microtoise, weight using digital scales, BMI for Age using WHO Anthro Plus, body fat percentage using Bioelectrical Impedance Analysis, VO2 max using Cooper Test 2.4 km. Nutrient values were analyzed using NutriSurvey. Statistical analysis using Independent TTest. There were significant differences between energy and macronutrient intake (p=0.001), body fat percentage (p=0.004), and VO2 max score (p=0.001) of boarding and non-boarding athletes. Energy and macronutrient intake of boarding and non-boarding athletes were still in the deficient category; however, the average nutritional intake of boarding athletes were still higher than non-boarding athletes. Most nutritional status of athletes based on BMI/Age were in normal category (87.5% in boarding athletes and 62.5% in non-boarding athletes). There was no over in non-boarding athlete. However, there were 12.5% of boarding athletes in the over fat category. 25% of non-boarding athletes were in the under fat category, while in boarding athletes, none of athlete in under fat category. 62.5% boarding athletes had VO2 max score at a very good level, while 87.5% of non boarding athletes were in enough category. There were significant differences between energy and macronutrient intake, body fat percentage, and VO2 max score between boarding and non-boarding football athletes.

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