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 The influence of birth order and number of siblings on adolescent body composition: evidence from a Brazilian birth cohort study

2015 ◽  
Vol 114 (1) ◽  
pp. 118-125 ◽  
Author(s):  
Fernanda de Oliveira Meller ◽  
M. C. F. Assunção ◽  
A. A. Schäfer ◽  
C. L. de Mola ◽  
A. J. D. Barros ◽  
...  
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Birth Order ◽  
Birth Cohort ◽  
Fat Mass ◽  
Perinatal Period ◽  
Fat Free Mass ◽  
Birth Cohort Study ◽  
Fat Mass Index ◽  
Air Displacement Plethysmography

The aim of this study was to estimate the association between birth order and number of siblings with body composition in adolescents. Data are from a birth cohort study conducted in Pelotas, Brazil. At the age of 18 years, 4563 adolescents were located, of whom 4106 were interviewed (follow-up rate 81·3 %). Of these, 3974 had complete data and were thus included in our analysis. The variables used in the analysis were measured during the perinatal period, or at 11, 15 and/or 18 years of age. Body composition at 18 years was collected by air displacement plethysmography (BOD POD®). Crude and adjusted analyses of the association between birth order and number of siblings with body composition were performed using linear regression. All analyses were stratified by the adolescent sex. The means of BMI, fat mass index and fat-free mass index among adolescents were 23·4 (sd 4·5) kg/m2, 6·1 (sd 3·9) kg/m2 and 17·3 (sd 2·5) kg/m2, respectively. In adjusted models, the total siblings remained inversely associated with fat mass index (β = − 0·37 z-scores, 95 % CI − 0·52, − 0·23) and BMI in boys (β = − 0·39 z-scores, 95 % CI − 0·55, − 0·22). Fat-free mass index was related to the total siblings in girls (β = 0·06 z-scores, 95 % CI − 0·04, 0·17). This research has found that number of total siblings, and not birth order, is related to the fat mass index, fat-free mass index and BMI in adolescents. It suggests the need for early prevention of obesity or fat mass accumulation in only children.

scholarly journals Effect of Whey Protein Supplementation on Physical Performance and Body Composition in Army Initial Entry Training Soldiers

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1248 ◽  
Author(s):  
Jeremy McAdam ◽  
Kaitlin McGinnis ◽  
Darren Beck ◽  
Cody Haun ◽  
Matthew Romero ◽  
...  
Keyword(s):  
Body Composition ◽  
Whey Protein ◽  
Physical Performance ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Medium Effect ◽  
Cohen’S D ◽  
Cohen's D ◽  
Initial Entry ◽  
Push Up

We investigated the effects of whey protein (WP) supplementation on body composition and physical performance in soldiers participating in Army Initial Entry Training (IET). Sixty-nine, male United States Army soldiers volunteered for supplementation with either twice daily whey protein (WP, 77 g/day protein, ~580 kcal/day; n = 34, age = 19 ± 1 year, height = 173 ± 6 cm, weight = 73.4 ± 12.7 kg) or energy-matched carbohydrate (CHO) drinks (CHO, 127 g/day carbohydrate, ~580 kcal/day; n = 35, age = 19 ± 1 year, height = 173 ± 5 cm, weight = 72.3 ± 10.9 kg) for eight weeks during IET. Physical performance was evaluated using the Army Physical Fitness Test during weeks two and eight. Body composition was assessed using 7-site skinfold assessment during weeks one and nine. Post-testing push-up performance averaged 7 repetitions higher in the WP compared to the CHO group (F = 10.1, p < 0.001) when controlling for baseline. There was a significant decrease in fat mass at post-training (F = 4.63, p = 0.04), but no significant change in run performance (F = 3.50, p = 0.065) or fat-free mass (F = 0.70, p = 0.41). Effect sizes for fat-free mass gains were large for both the WP (Cohen’s d = 0.44) and CHO (Cohen’s d = 0.42) groups. WP had a large effect on fat mass (FM) loss (Cohen’s d = −0.67), while CHO had a medium effect (Cohen’s d = −0.40). Twice daily supplementation with WP improved push-up performance and potentiated reductions in fat mass during IET training in comparison to CHO supplementation.

scholarly journals Composición corporal y rendimiento físico de jugadores de fútbol soccer universitario por posición de juego (Body composition and physical performance of college soccer by player´s position)

Retos ◽  
2020 ◽  
pp. 52-57
Author(s):  
Oswaldo Ceballos-Gurrola ◽  
Fernando Bernal-Reyes ◽  
Marquelia Jardón-Rosas ◽  
María Cristina Enríquez-Reyna ◽  
Jesús Durazo- Quiroz ◽  
...  
Keyword(s):  
Body Composition ◽  
Physical Performance ◽  
Body Mass ◽  
Fat Mass ◽  
Physical Characteristics ◽  
Soccer Players ◽  
Hip Circumference ◽  
Soccer Teams ◽  
Physical Abilities ◽  
The Relationship

Se propuso determinar la relación que existe entre la composición corporal y el rendimiento físico de jugadores de fútbol soccer universitario. Participaron 26 jugadores de sexo masculino con edad promedio de 20.7 años (DT = 1.7), pertenecientes a los equipos representativos de fútbol soccer de dos universidades mexicanas. Se midieron características morfológicas, de composición corporal y físicas para las posiciones de defensa, mediocampo y delantero. Se determinó el nivel de asociación entre las variables. Los resultados muestran que los defensas presentan mayor masa corporal, diámetro de húmero y circunferencia de cadera que los delanteros (p < .05), no así respecto a los jugadores de mediocampo. No se presenta diferencia en la expresión de las capacidades físicas y del porcentaje de masa grasa de los jugadores por posición de juego (p > .05). La masa grasa se asoció de manera directa con la velocidad (.427*, p < .05). Se encontraron diferencias en la masa ósea y corporal por posición de juego entre defensas, mediocampistas y delanteros. Los hallazgos sugieren la influencia de la composición corporal en el rendimiento físico de los participantes.  Abstract. The aim of the study was to determine the relationship between body composition and physical performance in college soccer players. Twenty-six male players with an average age of 20.7 years (SD = 1.7), belonging to the representative soccer teams of two Mexican universities participated in the research. Morphological, body composition, and physical characteristics were measured for the defense, midfield, and forward positions. The level of association between variables was determined. The results show that defenders have greater body mass, humerus diameter, and hip circumference than forwards (p <. 05), whereas no differences were found in comparison to midfielders. There is no difference in players’ expression of physical abilities and percentage of fat mass by playing position (p > .05). Fat mass was directly associated with speed (.427 *, p < .05). Differences were found in bone and body mass by playing position between defenders, midfielders, and forwards. The findings hint at an influence of body composition on participants’ physical performance.

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 Accounting for height in indices of body composition during childhood and adolescence

2019 ◽  
Vol 4 ◽  
pp. 105 ◽  
Author(s):  
Linda M. O'Keeffe ◽  
Abigail Fraser ◽  
Laura D. Howe
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Body Mass ◽  
Fat Mass ◽  
Early Life ◽  
Fat Free Mass ◽  
Childhood And Adolescence ◽  
Total Body Mass ◽  
Total Body ◽  
Age And Sex

Correlations of body composition with height vary by age and sex during childhood. Standard approaches to accounting for height in measures of body composition (dividing by height (in meters)2) do not take this into account. Using measures of total body mass (TBM), fat mass (FM) and fat free mass (FFM) at ages nine, 11, 13, 15 and 18 years from a longitudinal UK cohort study (ALSPAC), we calculated indices of body composition at each age by dividing measures by height (in meters)2. We then produced age-and sex-specific powers of height using allometric regressions and calculated body composition indices by dividing measures by height raised to these powers. TBM, FM and FFM divided by height2 were correlated with height up-to age 11 in females. In males, TBM and FM divided by height2 were correlated with height up-to age 15 years while FM divided by height2 was correlated with height up-to age 11 years. Indices of body composition using age-and sex-specific powers were not correlated with height at any age. In early life, age-and sex-specific powers of height, rather than height in meters2, should be used to adjust body composition for height when measures of adiposity/mass independent of height are required.

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 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.

scholarly journals Identification of and Associations among Low, Middle, and High Body Composition Trajectories from Age 5- to 17-Years

Children ◽  
2020 ◽  
Vol 7 (10) ◽  
pp. 192
Author(s):  
Teresa A. Marshall ◽  
Alexandra M. Curtis ◽  
Joseph E. Cavanaugh ◽  
John J. Warren ◽  
Steven M. Levy
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Clinical Settings ◽  
Fat Mass Index ◽  
X Ray ◽  
Body Composition Measure ◽  
Dxa Scans

Our objective was to identify sex-specific age 5- to 17-year body composition (body mass index (BMI), % body fat, fat mass index, fat-free mass index) trajectories, compare trajectories assigned using age 5 (AGE5) data to those assigned using all available (ALL) data, and compare BMI assignments to other body composition assignments. Cluster analysis was used to identify low, medium, and high trajectories from body composition measures obtained from dual energy x-ray absorptiometry (DXA) scans at 5, 9, 11, 13, 15, and 17 years in a birth cohort followed longitudinally (n = 469). Moderate agreement was observed for comparisons between AGE5 data and ALL data cluster assignments for each body composition measure. Agreement between cluster assignments for BMI and other body composition measures was stronger using ALL data than using AGE5 data. Our results suggest that BMI, % body fat, fat mass index, and fat free mass index trajectories are established during early childhood, and that BMI is a reasonable predictor of body composition appropriate to track obesity in public health and clinical settings.

The Relationship Between Body Composition, Glucose Metabolism, and Subtypes of Depressive Symptoms – Findings From the Helsinki Birth Cohort Study

2021 ◽  
Author(s):  
Mia D. Eriksson ◽  
Johan G. Eriksson ◽  
Päivi Korhonen ◽  
Minna K. Salonen ◽  
Tuija M. Mikkola ◽  
...  
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Glucose Metabolism ◽  
Birth Cohort ◽  
Beck Depression Inventory ◽  
Fat Mass ◽  
Lean Mass ◽  
Birth Cohort Study ◽  
Fat Mass Index

Abstract Background There is an existing link between two of the most common diseases, obesity and depression. These are both of great public health concern, but little is known about the relationships between the subtypes of these conditions. We hypothesized that non-melancholic depressive symptoms have a stronger relationship with both body composition (lean mass and fat mass) and dysfunctional glucose metabolism than melancholic depression. Methods For this cross-sectional study 1 510 participants from the Helsinki Birth Cohort Study had their body composition evaluated as lean mass and fat mass (Lean Mass Index + Fat Mass Index = Body Mass Index). Participants were evaluated for depressive symptoms utilizing the Beck Depression Inventory, and had laboratory assessments including an oral glucose tolerance test. Results Higher than average Fat Mass Index (kg/m2) was associated with a higher percentage of participants scoring in the depressive range of the Beck Depression Inventory (p=0.048). Higher Fat Mass Index was associated with a higher likelihood of having depressive symptoms (OR per 1-SD Fat Mass Index=1.37, 95% CI: 1.13-1.65), whereas higher Lean Mass Index (kg/m2) was associated with a lower likelihood of having depressive symptoms (OR per 1-SD Lean Mass Index=0.76, 95% CI: 0.64-0.91). Participants with an above average Fat Mass Index more frequently had non-melancholic depressive symptoms (p=0.008) regardless of Lean Mass Index levels (p=0.38). There was no difference between the body composition groups in the likelihood of having melancholic depressive symptoms (Fat Mass Index p=0.83, Lean Mass Index p=0.93). The non-melancholic group had higher Fat Mass Index than either of the other groups (p<0.001), and a higher 2-hour glucose concentration than the non-depressed group (p=0.005). Conclusion As hypothesized, non-melancholic depressive symptoms are most closely related to high fat mass index and dysfunctional glucose metabolism.

scholarly journals Bio-Banding in Judo: The Mediation Role of Anthropometric Variables on the Maturation Effect

2020 ◽  
Vol 17 (1) ◽  
pp. 361 ◽  
Author(s):  
Bruno B. Giudicelli ◽  
Leonardo G. O. Luz ◽  
Mustafa Sogut ◽  
Alain G. Massart ◽  
Arnaldo C. Júnior ◽  
...  
Keyword(s):  
Physical Performance ◽  
Body Mass ◽  
Fat Mass ◽  
Aerobic Capacity ◽  
Handgrip Strength ◽  
Fat Free Mass ◽  
Mediation Analyses ◽  
Arm Span ◽  
The Relationship

Young judo athletes are bio-banding based on age and body mass and compete in weight classes. The purposes of this study were to investigate the influences of maturation on physical performance in young judokas through controlling the chronological age and body mass, and to examine the mediating role of anthropometric variables. Sixty-seven judokas, aged 11.0–14.7, were measured for 11 anthropometric and seven physical performance variables. Pearson partial correlations were conducted to verify the relationship between the maturational indicator and the dependent variables. Mediation analyses were performed to identify the extent to which anthropometric variables mediate the relationship. The maturation effect remained on the aerobic capacity and handgrip strength (p < 0.05). Fat mass (b = 80.335, 95%CI 11.580–204.270) and fat-free mass (b = 108.256, 95%CI 39.508–207.606) totally mediated the effect on aerobic capacity. Fat mass (b = 0.023, 95%CI 0.004–0.057), fat-free mass (b = 0.029, 95%CI 0.011–0.058), stature (b = 0.031, 95%CI 0.008–0.061), arm span (b = 0.021, 95%CI 0.003–0.044), and inferior members length (b = 0.022, 95%CI 0.005–0.049) totally mediated the effect on handgrip strength. The effect of biological maturation is noticeable even after age and body mass control, being mediated by anthropometric variables related to body composition and size.

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