scholarly journals Association between fat mass index and fat-free mass index values and cardiovascular risk in adolescents

2016 ◽  
Vol 34 (1) ◽  
pp. 30-37 ◽  
Author(s):  
Patrícia Morais de Oliveira ◽  
Fabiana Almeida da Silva ◽  
Renata Maria Souza Oliveira ◽  
Larissa Loures Mendes ◽  
Michele Pereira Netto ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Fat Mass Index

The fat mass index, not the fat-free mass index, is associated with impaired physical performance in older adult subjects: Evidence from a cross-sectional study

2019 ◽  
Vol 38 (2) ◽  
pp. 877-882 ◽  
Author(s):  
Maribel Ramírez Torres ◽  
Roxana E. Ruiz Valenzuela ◽  
Julián Esparza-Romero ◽  
Miriam T. López Teros ◽  
Heliodoro Alemán-Mateo
Keyword(s):  
Older Adult ◽  
Physical Performance ◽  
Fat Mass ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Sectional Study ◽  
Cross Sectional ◽  
Fat Mass Index

scholarly journals P0943FAT MASS/FAT FREE MASS RATIO AS A CARDIOVASCULAR RISK FACTOR. SURVIVAL STUDY

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Guillermina Barril ◽  
Angel Nogueira ◽  
Nuria Garcia ◽  
Paloma Sanz ◽  
Graciela Alvarez ◽  
...  
Keyword(s):  
Risk Factor ◽  
Cardiovascular Risk ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Mass Ratio ◽  
Survival Study ◽  
Hand Grip ◽  
Kaplan Meier ◽  
Inflammation Parameters ◽  
Overall Mortality

Abstract Background and Aims Excess fat mass correlates with cardiovascular risk and if the increase in BMI is at the expense of fat mass it can increase mortality. Aims- To evaluate the Fat Mass/Fat Free Mass ratio (FM/FFM)in 195 CKD patients and establish a correlation with nutrition-inflammation parameters, body composition and hand grip strenght Method We have studied 195 patients aged 67.01 ± 14.52 years, 126 (64.6%) men and 69 (35.4%) women. 41% in HD and 59% with advanced CKD. We have determined FM/FFM ratio using BIA monofrequency Bodigram Plus (Akhern) and hand grip stengh ( baseline).We determine biochemical nutrition-inflammation parameters also. Results xRatio FM/FFM = 0.499 ± 0.2304, in men = 0.41 ± 0.16 and in women = 0.64 ± 0.26 (both less than published 0.57 men and 0.867 in women). Median 0.4558 and percentils (p) with cut-off points 0.3868 and 0.5574. In HD 31 in P1, 23 in P2 and 26 in P3. In advanced CKD 32 in P1, 41 in P2 and 42 in P3. Anova significant according to percentiles: SMI, age, TBW% BCMI, albumin, waist circunference, and Hand grip strenght. Correlations Men FM / FFM ratio direct sig correlation with weight, AEC% and Trasferrin%, inverse with MIS, SMI, Na / K, BCM%, TBW%, IBW%, BCMI and right dynamometry. Do not continue with BMI, Phase Angle, Hb, lymphocytes, prealbumin, PCR. Women FM/FFM ratio direct sig correlation wih: weight, Na / k, BMI, prealbumin, CRP, MIS, inverse with: TBW. No sig: SMI, BCM%, EBW%, IBW%, MAMC, BCMI, Hb, hand grip strenght, lymphocytes or transferrin. In the 24-month mortality study we found no significant differences in Kaplan Meier overall mortality using the 3 percentiles. They died 7/63 in P1, 1/64 in P2 and 8/68 in P3. If we make the union of 1 and 2 vs percentil3 we find significant differences in mortality between strata, especially in HD with Long Rank 0.05. Conclusions 1.-The FM /FFM ratio is a useful tool for diagnosis of sarcopenic obesity 2.-It correlates significantly with parameters of CRP (direct) inflammation, muscle strength (inverse) and CV risk (direct waist circumference and tricipital fold) 3.- In a survival study joining P1 + P2 vs P3 we found greater survival in P1 + P2, mainly in HD.

scholarly journals Human Milk Casein and Whey Protein and Infant Body Composition over the First 12 Months of Lactation

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1332 ◽  
Author(s):  
Zoya Gridneva ◽  
Wan J. Tie ◽  
Alethea Rea ◽  
Ching Tat Lai ◽  
Leigh C. Ward ◽  
...  
Keyword(s):  
Body Composition ◽  
Human Milk ◽  
Whey Protein ◽  
Fat Mass ◽  
Total Protein ◽  
Fat Free Mass ◽  
Maternal Weight ◽  
Fat Mass Index ◽  
Milk Casein ◽  
Daily Intakes

Human milk (HM) influences infant feeding patterns and body composition (BC). This small proof-of concept longitudinal study investigated relationships between infant/maternal BC and HM casein, whey and total protein during the first 12 months of lactation. BC of breastfeeding dyads (n = 20) was measured at 2 (n = 15), 5 (n = 20), 9 (n = 19), and/or 12 (n = 18) months postpartum with ultrasound skinfolds (infants) and bioimpedance spectroscopy (infants/mothers). Proteins concentrations and 24-h milk intake were measured and calculated daily intakes (CDI) determined. Higher maternal weight, body mass index, fat-free mass, fat-free mass index, and fat mass index were associated with higher concentration of whey protein (p ≤ 0.034, n = 20). There were no associations between infant BC and concentrations of all proteins, and CDI of whey and total protein. Higher CDI of casein were associated with lower infant fat-free mass (p = 0.003, n = 18) and higher fat mass (p < 0.001), fat mass index (p = 0.001, n = 18), and % fat mass (p < 0.001, n = 18) measured with ultrasound skinfolds. These results show a differential effect of HM casein on development of infant BC during the first year of life, suggesting that there is a potential to improve outcome for the infant through interventions, such as continuation of breastfeeding during the first 12 months of life and beyond, which may facilitate favourable developmental programming that could reduce risk of non-communicable diseases later in life.

scholarly journals Sex Differences in Association Between Body Composition and Frailty or Physical Performance in Community-Dwelling Older Adults

2020 ◽  
Author(s):  
Yunsoo Soh ◽  
Chang Won Won
Keyword(s):  
Body Composition ◽  
Logistic Regression ◽  
Cohort Study ◽  
Physical Performance ◽  
Fat Mass ◽  
Frailty Index ◽  
Community Dwelling ◽  
Fat Free Mass ◽  
Fat Mass Index ◽  
The Relationship

Abstract BackgroundFrailty is a common geriatric condition due to aging, defined as a decrease in the functional reserve to maintain the homeostasis. As part of the aging process, body composition changes occur. This study investigated the relationship between body composition and frailty in a community-dwelling elderly Korean population.MethodsThis cross-sectional cohort study analyzed data of 2,385 elderly participants (aged 70–84 years, 1131 males and 1254 females) of the Korean Frailty and Aging Cohort Study from 2016 to 2017. Body composition, including total and trunk fat masses and fat-free mass, were measured with dual-energy X-ray absorptiometry. Fat mass index (FMI), trunk fat mass index (TFMI), and fat-free mass index (FFMI) represented total fat mass, trunk fat mass, and fat-free mass according to height. Based on the frailty index developed by Fried, we compared the frail and non-frail groups. Poor physical performance assessed with the short physical performance battery score of <9 is considered frailty. To evaluate the relationship between the variables, simple and fully adjusted multivariable logistic regression analyses were performed according to sex.ResultsAmong the participants, 462 (19.3%) were defined as the frail group, with a significantly high mean age of 77.9±4.0 years. In the logistic regression analysis of frailty based on body mass index (BMI) categories, underweight (BMI<18 kg/m2) participants showed a high incidence of frailty in both sexes. BMI showed an association with frailty only in males. In both sexes, FFMI was associated with a lower incidence of frailty, which was statistically significant in the fully adjusted models. In the female, fat-related indexes including body fat percentage, FMI, and TFMI showed a significant association with poor physical performance. In contrast, males with low FFMI only showed a significant association with poor physical performance.ConclusionsFrailty closely correlated with FFMI in both sexes. The poor physical performance associated with frailty correlated with fat-related body composition in females and fat-free mass in males owing to the difference in body composition between the sexes. In the assessment of frailty, body composition and sex-related differences should be analyzed.

scholarly journals Examination of protein intakes at 2-years and weight status and body composition at 5-years in the Cork BASELINE Birth Cohort

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Áine Hennessy ◽  
Carol ní Chaoimh ◽  
Elaine McCarthy ◽  
Deirdre Murray ◽  
Mairead Kiely
Keyword(s):  
Body Composition ◽  
Birth Cohort ◽  
Fat Mass ◽  
Dietary Protein ◽  
Total Protein ◽  
Protein Intake ◽  
Regression Models ◽  
Fat Free Mass ◽  
Fat Mass Index ◽  
Total Protein Intake

AbstractDietary protein is critical for normal growth and development through its contribution of essential amino acids. In high-resource settings, protein intakes are generally adequate. Previous studies have suggested that higher protein intakes in infancy and early childhood are associated with higher body mass index in later childhood.This analysis was performed in a subgroup of 2-year-old children (n = 468) with detailed dietary intake data (2-d weighed food record) participating in an extensively-characterised, prospective birth cohort, the Cork BASELINE Birth Cohort Study (n = 2183). Body weight and height were measured at 2- and 5-years, and indices of body composition (fat mass, fat free mass) were obtained at 5 years in a subgroup of 295 children. Total protein intake was estimated at 2-years and the contribution of animal and plant sources to total protein intake was quantified. Children were split into thirds of protein intake (as % total energy, %TE) and anthropometry and body composition at 5 years was compared across groups. The relationship between protein intake (total and animal sources) and BMI-SDS, fat mass index-SDS and fat free mass index-SDS was explored in multivariate linear regression models, adjusted for common confounders (energy intake, gestational age, duration of breastfeeding, birthweight-SDS, maternal education).Mean (SD) daily protein intake was 41.3 (11.2) g/d, representing 16.1 %TE (girls: 16.2 %TE; boys: 15.9 %TE, P = 0.202) and all children met EFSA average requirement and population reference intake thresholds. Meat (25%), cows’ milk (22%), breads (7%), yoghurt (6%), breakfast cereals (6%) and cheese (5%) were key sources of protein intake in toddlers. The majority of dietary protein intake was from animal sources (69%).Girls with high %TE from protein [mean (SD): 19.7 (2.6) %TE] were significantly heavier and taller at 5 years than their counterparts [low: 13.1 (1.4) %TE; medium: 16.0 (0.7) %TE], and had significantly higher fat free mass, fat free mass index and total body bone area (indicative of body size), but not fat mass. When adjusted for confounders in multivariate regression models, no association was observed between total protein intake and BMI-SDS, fat mass index-SDS or fat free mass index-SDS at 5 years.Children with high animal protein intakes (as %TE) had significantly higher fat free mass than their low and medium group counterparts; however, when adjusted for height and other confounders, no association was observed.Protein intakes in early childhood were associated with larger body size, but not BMI or body composition at 5-years.

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