scholarly journals Body Mass Index, Lean Mass, and Body Fat Percentage as Mediators of the Relationship between Milk Consumption and Bone Health in Young Adults

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2500 ◽  
Author(s):  
Ana Torres-Costoso ◽  
Purificación López-Muñoz ◽  
Asunción Ferri-Morales ◽  
Elisabeth Bravo-Morales ◽  
Vicente Martínez-Vizcaíno ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Bone Health ◽  
Milk Consumption ◽  
Mineral Density ◽  
Total Body ◽  
The Relationship

Identifying environmental factors that influence bone health is crucial for developing effective intervention strategies that maximize peak bone mass. The aim of this study was to estimate the relationship between milk consumption and bone mineral density (BMD) in young adults, and to examine whether this relationship is mediated by body mass index (BMI) and total lean and fat mass. A cross-sectional study involving college students (n = 239) from a Spanish public university was performed. Data on milk consumption and anthropometric and body composition variables were collected. The Pearson correlation coefficients among total body BMD, body composition variables, and milk consumption ranged from −0.111 to −1.171, most of them statistically significant (p < 0.05). The ANCOVA (analysis of covariance) models showed that those with higher regular milk consumption had less total body BMD than those with lower regular milk consumption (p < 0.05), even after controlling for different sets of confounders. In the mediation analysis, BMI and lean and fat mass turned out to act as full mediators of the relationship between regular milk consumption and total body BMD (z = −1.7148, −1.3208, and −1.8549, respectively; p ≤ 0.05). In conclusion, milk consumption, per se, does not seem to have a direct effect on bone development, because its association seems to be fully mediated by body composition variables in young adults.

Dietary Energy Density is Associated with Body Mass Index and Fat Mass in Early Adulthood

2019 ◽  
pp. 105477381988319
Author(s):  
María Correa-Rodríguez ◽  
Emilio González-Jiménez ◽  
Ángel Fernández-Aparicio ◽  
Jose Luis Gómez-Urquiza ◽  
Jacqueline Schmidt-RioValle ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Energy Density ◽  
Body Mass ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Dietary Energy ◽  
Mass Percent ◽  
Dietary Energy Density

A cross-sectional study was conducted to investigate the association between body composition parameters as well as body mass index (BMI), and dietary energy density in a population of 538 young adults. Fat mass, fat mass percent, fat-free mass, and visceral fat were measured using a body composition analyzer. Daily energy intake was assessed using a 72-hr diet recall, and dietary energy density was calculated. Significant differences in dietary energy density among underweight, normal-weight and overweight/obesity young adults were identified ( M = 1.42, SD = 0.26 vs. M = 1.52, SD = 0.46 vs. M = 1.66, SD = 0.53, p = .002). Dietary energy density was associated with BMI (β = .961; CI 95% = 0.335, 1.586; p = .0030), fat mass percent (β = 1.921; CI 95% = 0.707, 3.135; p = .002), and fat mass (β = 2.146; CI 95% = 0.827, 3.466; p = .001). Dietary energy density might be considered as an important aspect in the obesity nutritional education programs in young people.

scholarly journals Body composition in professional female netball players within and between seasons: a cohort study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Luke Hogarth ◽  
Ava Farley ◽  
Max McKenzie ◽  
Brendan Burkett ◽  
Mark McKean
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Lean Mass ◽  
The Body ◽  
Limited Information ◽  
Mineral Density ◽  
Preparation Period ◽  
Total Body ◽  
Composition Changes

Abstract Background There is limited information on the physique attributes of female netball players from the highest playing standards and the typical body composition changes that occur with training and competition in these athletes. The purpose of this study was to examine the body composition of professional female netball players and changes that occur within and between national premier netball seasons. Methods Dual-energy X-ray absorptiometry (DXA) assessments were conducted in 20 female netball players (age = 26.5 [4.7] years, body mass = 77.3 [9.7] kg, stature = 182.7 [9.5] cm) contracted to a Suncorp Super Netball team. Total body lean mass, fat mass, bone mass and bone mineral density were derived for 127 assessments collected over three seasons. Linear mixed effects modelling was used to examine changes in body composition measures within and between seasons. Results Goal circle players were heavier (12.3 [3.5] kg, p < 0.001, g = 1.51) and taller (15.0 [2.7] cm, p < 0.001, g = 2.30) than midcourt players, and midcourt players had greater lean mass (3.1 [1.6] %, p = 0.07, g = 0.85) and less fat mass (-3.3 [1.7] %, p = 0.06, g = -0.84) than goal circle players when values were normalised to body mass. Players achieved increases in lean mass (2,191 [263] g, p < 0.01, g = 0.45) and decreases in fat mass (-835 [351] g, p = 0.09, g = -0.16) following a preseason preparation period. There were no changes in lean mass (-394 [295] g, p = 0.54, g = 0.07) or fat mass (102 [389] g, p = 0.99, g = 0.04) from the start to the end of the 14-week competition period. Conclusions Professional female netball players achieve small changes in lean mass and fat mass during preseason preparation and maintain their physique over the competitive season. The results of this study can inform practitioners on the training content necessary to promote or maintain desired body composition changes in these athletes.

scholarly journals The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
University Students ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
The Body ◽  
Study Results ◽  
The Relationship

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 

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.

scholarly journals A Bayesian Sensitivity Analysis to Partition Body Mass Index Into Components of Body Composition: An Application to Head and Neck Cancer Survival

2019 ◽  
Vol 188 (11) ◽  
pp. 2031-2039
Author(s):  
Patrick T Bradshaw ◽  
Jose P Zevallos ◽  
Kathy Wisniewski ◽  
Andrew F Olshan
Keyword(s):  
Body Mass Index ◽  
Sensitivity Analysis ◽  
Body Composition ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Body Mass ◽  
Neck Cancer ◽  
Hazard Ratio ◽  
Unit Increase ◽  
The Relationship

Abstract Previous studies have suggested a “J-shaped” relationship between body mass index (BMI, calculated as weight (kg)/height (m)2) and survival among head and neck cancer (HNC) patients. However, BMI is a vague measure of body composition. To provide greater resolution, we used Bayesian sensitivity analysis, informed by external data, to model the relationship between predicted fat mass index (FMI, adipose tissue (kg)/height (m)2), lean mass index (LMI, lean tissue (kg)/height (m)2), and survival. We estimated posterior median hazard ratios and 95% credible intervals for the BMI-mortality relationship in a Bayesian framework using data from 1,180 adults in North Carolina with HNC diagnosed between 2002 and 2006. Risk factors were assessed by interview shortly after diagnosis and vital status through 2013 via the National Death Index. The relationship between BMI and all-cause mortality was convex, with a nadir at 28.6, with greater risk observed throughout the normal weight range. The sensitivity analysis indicated that this was consistent with opposing increases in risk with FMI (per unit increase, hazard ratio = 1.04 (1.00, 1.08)) and decreases with LMI (per unit increase, hazard ratio = 0.90 (0.85, 0.95)). Patterns were similar for HNC-specific mortality but associations were stronger. Measures of body composition, rather than BMI, should be considered in relation to mortality risk.

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