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

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 ◽  
...  
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.

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

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

scholarly journals 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

2020 ◽  
Vol Volume 15 ◽  
pp. 2301-2311
Author(s):  
Pawel Macek ◽  
Malgorzata Terek-Derszniak ◽  
Malgorzata Biskup ◽  
Halina Krol ◽  
Jolanta Smok-Kalwat ◽  
...  
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Bayesian Modelling ◽  
Middle Aged ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Induced Changes

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

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

scholarly journals β-Carotene Status Is Associated with Inflammation and Two Components of Metabolic Syndrome in Patients with and without Osteoarthritis

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2280
Author(s):  
Chi-Hua Yen ◽  
Po-Sheng Chang ◽  
Ching-Ju Chiu ◽  
Yu-Yun Huang ◽  
Ping-Ting Lin
Keyword(s):  
Metabolic Syndrome ◽  
Abdominal Obesity ◽  
Odds Ratio ◽  
Control Group ◽  
Low Grade ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Inflammatory Status ◽  
Obese Control ◽  
Β Carotene

This study was conducted to investigate the β-carotene status in osteoarthritis (OA) patients and examine its relationships with the risk of inflammation and metabolic syndrome. OA patients were stratified by obesity based on body fat percentage (obese OA, n = 44; non-obese OA, n = 56), and sixty-nine subjects without OA or obesity were assigned as a non-obese control group. β-carotene, metabolic parameters, and inflammation status were assessed. Obese OA patients exhibited a significantly higher rate of metabolic syndrome (p = 0.02), abdominal obesity (p < 0.01), and lower β-carotene status (p < 0.01) compared with non-obese OA and non-obese controls. After adjusting for potential confounders, β-carotene status (≥0.8 µM) was significantly inversely correlated with the risk of metabolic syndrome (odds ratio = 0.27, p < 0.01), abdominal obesity (odds ratio = 0.33, p < 0.01), high blood pressure (odds ratio = 0.35, p < 0.01), hyperglycemia (odds ratio = 0.45, p < 0.05), and inflammation (odds ratio = 0.30, p = 0.01). Additionally, subjects who had a high β-carotene status with a low proportion of metabolic syndrome when they had a low-grade inflammatory status (p < 0.01). Obese OA patients suffered from a higher prevalence of metabolic syndrome and lower β-carotene status compared to the non-obese controls. A better β-carotene status (≥0.8 µM) was inversely associated with the risk of metabolic syndrome and inflammation, so we suggest that β-carotene status could be a predictor of the risk of metabolic syndrome and inflammation in patients with and without OA.

scholarly journals Body composition associations with muscle strength in older adults living in Auckland, New Zealand

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
Keyword(s):  
Older Adults ◽  
Body Composition ◽  
Muscle Strength ◽  
Grip Strength ◽  
Muscle Mass ◽  
Body Fat ◽  
Muscle Quality ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional

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.

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

2020 ◽  
Author(s):  
Erika Aparecida Silveira ◽  
Larissa Silva Barbosa ◽  
Matias Noll ◽  
Hudson Azevedo Pinheiro ◽  
Cesar de Oliveira
Keyword(s):  
Older Adults ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage

scholarly journals 0036 Inconsistent Bedtimes Associated with Unhealthier Body Size in Older Adults

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A14-A15
Author(s):  
P Zendels ◽  
J Gaultney
Keyword(s):  
Older Adults ◽  
Socioeconomic Status ◽  
Obstructive Sleep Apnea ◽  
Body Size ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Obstructive Sleep

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

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