scholarly journals Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women

Nutrients ◽  
2016 ◽  
Vol 8 (8) ◽  
pp. 470 ◽  
Author(s):  
Maria Casale ◽  
Pamela von Hurst ◽  
Kathryn Beck ◽  
Sarah Shultz ◽  
Marlena Kruger ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Fat ◽  
Bone Mineral ◽  
Lean Mass ◽  
Body Fat Percentage ◽  
Pacific Island ◽  
Fat Percentage ◽  
Mineral Density

scholarly journals Equation to Fat Percentage Estimation in Women with Reduced Bone Mineral Density

2017 ◽  
Vol 10 (1) ◽  
pp. 251-256
Author(s):  
Cristiane da Silva Oselame ◽  
Gleidson Brandão Oselame ◽  
Oslei de Matos ◽  
Eduardo Borba Neves
Keyword(s):  
Bone Mineral Density ◽  
Body Composition ◽  
Body Fat ◽  
Bone Mineral ◽  
The Body ◽  
World Health ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Mineral Density ◽  
Postmenopausal Period

Introduction: The measurement of body fat is a way to obtain information about the characteristics that can lead to a framework of certain diseases. Thus, women in postmenopausal period experience significant variations in the body composition and fat distribution. Objective: To develop an equation to estimation of the body fat percentage in women with osteopenia / osteoporosis based on anthropometric measurements easily obtainable. Methods: The sample consisted of 74 women participating in the study group of the Physical Exercise Program for Osteoporosis Federal Technological University of Paraná, all in postmenopausal period and with osteopenia or osteoporosis. It evaluated body composition and bone mineral density by absorptiometry Radiological Dual Energy (DXA), anthropometry and body circumferences (waist, abdomen and hips), and nutritional status by the Body Mass Index (BMI) as the World Health Organization classification. Results: The sample can be characterized by the following average data: age of 59.32 ± 6.96, 27.14 ± 3 BMI 90, Waist Hip Ratio of 0.85 ± 0.08 and Body fat percentage 40.35 ± 4.04. The proposed equation was Body Fat Percentage (BFP) = 14,419 + (0.405 x BMI) + (0.147 x HC) using only two predictor variables, BMI and hip circumference (PQ). Conclusion: The standard error of estimate of the proposed equation was 2.89 (R2 = 0.501) can be considered low average values for the percentage of fat in this population, suggesting that the equation can be used to estimate the percentage of body fat in postmenopausal women.

The Effect Of A High Fat/high Sugar Diet And Physical Activity On Body Fat Percentage And Bone Mineral Density

2016 ◽  
Vol 48 ◽  
pp. 525
Author(s):  
Ayland C. Letsinger ◽  
Heather L. Vellers ◽  
Jorge Z. Granados ◽  
Nick R. Walker ◽  
Madison E. Spier ◽  
...  
Keyword(s):  
Physical Activity ◽  
Bone Mineral Density ◽  
Body Fat ◽  
Bone Mineral ◽  
Body Fat Percentage ◽  
High Fat ◽  
Fat Percentage ◽  
Mineral Density ◽  
High Sugar ◽  
Diet And Physical Activity

Relationship of upper body fat distribution to higher regional lean mass and bone mineral density

2003 ◽  
Vol 21 (3) ◽  
pp. 179-183 ◽  
Author(s):  
Takashi Matsuo ◽  
Tsutomu Douchi ◽  
Mitsuhiro Nakae ◽  
Hirofumi Uto ◽  
Toshimichi Oki ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Fat ◽  
Bone Mineral ◽  
Lean Mass ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
Upper Body ◽  
Mineral Density ◽  
Relationship Of

scholarly journals PREDICTORS OF BONE MINERAL DENSITY IN ADOLESCENTS WITH EXCESS WEIGHT

2020 ◽  
Vol 26 (6) ◽  
pp. 508-512
Author(s):  
Deisi Maria Vargas ◽  
Samantha Karoline Kleis ◽  
Nara Rúbia dos Santos Lehmkuhl ◽  
Clovis Arlindo de Sousa ◽  
Luciane Coutinho de Azevedo
Keyword(s):  
Bone Mineral Density ◽  
Vitamin D ◽  
Body Fat ◽  
Bone Mineral ◽  
Lean Mass ◽  
Proximal Femur ◽  
Excess Weight ◽  
Body Fat Mass ◽  
Mineral Density ◽  
Total Body

ABSTRACT Introduction: Adolescence is characterized as a phase of intense development of the skeletal system. Maximizing bone mass acquisition during adolescence may reduce the risk of bone fractures later in life. Objectives: To analyze bone mineral density (BMD) and its relation to nutritional status and serum vitamin D in adolescents with excess weight. Methods: This is a cross-sectional, exploratory study. Data from 102 adolescents with excess weight, of both sexes, were analyzed. The following indices were evaluated: body mass index (BMI), abdominal circumference (AC), intake of micronutrients (vitamin D, calcium, magnesium and phosphorus), serum 25-hydroxycholecalciferol (25(OH)D concentration, BMD of the proximal femur, lumbar spine (L1-L4) and total body, % body fat mass (% BFM), total BFM, total body lean mass (BLM), body fat mass (BFMI) and lean mass (BLMI). Results: The male adolescents (n=53) had higher values for weight, height, AC, BLM and BLMI, while the females (n=49) had higher % BFM. The majority were obese (53.9%) and had a BMD within the normal range for all evaluation sites. Of the 84 adolescents (n=84) with laboratory examination of 25OHD, 33.3% presented values considered insufficient or deficient. Multivariate linear regression analysis showed that the most important independent predictor of BMD for the girls was BLMI, regardless the evaluation site. For boys, in addition to BLMI, BMI-Z of the proximal femur (neck of the femur and total) was also was a determinant variable for BMD. Conclusion: In this sample of adolescents, BLMI was a positive predictor of BMD in both sexes; and BMI-Z was a positive predictor only in proximal femur in the boys. Level of evidence II; Prognostic studies.

scholarly journals The “Fat but Fit” Paradigm and Bone Health in Young Adults: A Cluster Analysis

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 518
Author(s):  
Ana Torres-Costoso ◽  
Miriam Garrido-Miguel ◽  
Luis Gracia-Marco ◽  
Purificación López-Muñoz ◽  
Sara Reina-Gutiérrez ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Young Adults ◽  
Body Fat ◽  
Bone Mineral ◽  
Bone Health ◽  
Handgrip Strength ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Mineral Density ◽  
Fitness Levels

The fat but fit paradox has suggested that obese individuals with good fitness levels have lower cardiometabolic risk compared to individuals with normal weight but lower fitness levels. This paradigm has not been explored in the context of bone health. The aim of this study was to test whether categories of fat but fit paradigm assessed by body fat percentage and handgrip strength holds up in young adults and to analyze the relationship between fat but fit categories and bone outcomes. Cluster cross-sectional analyses of data from 499 young adults aged 18 to 30 from Toledo and Cuenca, Spain were conducted. Body fat percentage, handgrip strength, bone mineral content (BMC), bone mineral density (BMD), and dietary nutrients such as, proteins, magnesium, calcium, phosphorus, potassium, and vitamin D were assessed. Cluster analysis of body fat percentage and handgrip z scores resulted in a classification of four clusters that could be interpreted according to Fat Unfit (FU), Unfat Unfit (UU), Fat Fit (FF) and Unfat Fit (UF) categories. ANCOVA models showed that young adults in clusters with higher handgrip strength levels (FF, UF) and with higher key bone nutrients levels (UF) had significantly higher total BMC values than their peers in the UU and FU cluster categories, after controlling for sex, age and height. This study provides two novel conclusions in relation to the fat but fit paradigm: first, it confirms the construct of the four clusters of body fat percentage and handgrip strength, and second, it reinforces the predictive validity of the fat but fit paradigm categories, indicating the positive effect, although it may not just be a causal relationship, of muscular strength and key bone nutrients on counteracting the negative effect of obesity on bone health.

Identification of novel pleiotropic gene for bone mineral density and lean mass using the cFDR method

2021 ◽  
Author(s):  
Li‐Jun Tan ◽  
Xiao‐Hua Li ◽  
Gai‐Gai Li ◽  
Yuan Hu ◽  
Xiang‐Ding Chen ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Lean Mass ◽  
Mineral Density ◽  
Pleiotropic Gene
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