Correction: Smoking and Body Fat Mass in Relation to Bone Mineral Density and Hip Fracture: The Hordaland Health Study

Low body fat mass and menstrual irregularities have been associated with low bone mineral density (BMD). The aim of this study was to compare the relation between BMD, lean body mass, fat mass, physical activity energy expenditure (PAEE), and menstrual status in female boxers and in physically active females with low (C1) or average (C2) fat mass. Boxers (n = 11) and controls (C1, n = 16; C2, n = 17), aged 18–38 years, were assessed for BMD and body composition with dual-energy X-ray absorptiometry. Menstrual status and PAEE were determined from questionnaires. There was no difference in anthropometric measurements between boxers and C1 subjects, except that boxers had higher arm lean mass. However, both boxers and C1 subjects had a lower percentage of fat (p < 0.001) than C2 subjects (boxers, 14.6% ± 2.0; C1, 15.5% ± 4.2; C2, 25.8% ± 3.4%), and boxers had a higher (p = 0.002) lean body mass index (lean body mass/height2, where lean body mass is measured in kilograms and height is measured in metres) than C2 subjects. The PAEE of boxers was higher (p < 0.007) than that of controls (boxers, 5748 ± 2284 ; C1, 2966 ± 2258 ; C2, 2714 ± 1722 kcal·week–1). Oligomenorrhea was more common in boxers than in C1 and C2 subjects (boxers, 54.6%; C1, 18.8%; C2, 35.3%). Arm, leg, and spine BMD were higher (p < 0.008) in boxers than in C1 subjects, and arm BMD was higher in boxers than in C2 subjects. BMD Z scores were also higher (p < 0.05) in boxers (boxers, 1.1± 0.8, C1, 0.1 ± 0.7; C2: 0.3 ± 1.1). High BMD in boxers, despite low fat mass, high PAEE, and an increased incidence of oligomenorrhea suggest that boxing has a positive effect on BMD.

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Plasma Choline, Nicotine Exposure, and Risk of Low Bone Mineral Density and Hip Fracture: The Hordaland Health Study

Journal of Bone and Mineral Research ◽

10.1002/jbmr.2025 ◽

2013 ◽

Vol 29 (1) ◽

pp. 242-250 ◽

Cited By ~ 3

Author(s):

Jannike Øyen ◽

Ottar Kjell Nygård ◽

Clara Gram Gjesdal ◽

Per Magne Ueland ◽

Ellen Margrete Apalset ◽

...

Keyword(s):

Bone Mineral Density ◽

Hip Fracture ◽

Bone Mineral ◽

Health Study ◽

Nicotine Exposure ◽

Mineral Density ◽

Low Bone Mineral Density

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PREDICTORS OF BONE MINERAL DENSITY IN ADOLESCENTS WITH EXCESS WEIGHT

Revista Brasileira de Medicina do Esporte ◽

10.1590/1517-869220202606160524 ◽

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.

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A high protein diet reduces whole body fat mass in healthy mature female rats, but does not affect whole body bone mineral density

The FASEB Journal ◽

10.1096/fasebj.20.4.a562 ◽

2006 ◽

Vol 20 (4) ◽

Author(s):

Hope A Weiler ◽

Andrew Wakefield ◽

James D House ◽

Malcolm Ogborn ◽

Harold M Aukema

Keyword(s):

Bone Mineral Density ◽

Body Fat ◽

Bone Mineral ◽

High Protein Diet ◽

Mature Female ◽

Female Rats ◽

Whole Body ◽

Body Fat Mass ◽

Mineral Density ◽

Body Bone

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Effects of Adolescents’ Lifestyle Habits and Body Composition on Bone Mineral Density

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18116170 ◽

2021 ◽

Vol 18 (11) ◽

pp. 6170

Author(s):

ChangSook Han ◽

HyoKyung Kim ◽

Suhee Kim

Keyword(s):

Bone Mineral Density ◽

Skeletal Muscle ◽

Bone Mass ◽

Muscle Mass ◽

Body Fat ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Body Fat Mass ◽

Mineral Density ◽

Calcium Supplements

The incidence of osteoporosis is increasing as the population ages, as is the need to manage and prevent it. Adolescence is the period when the fastest development of bone mass takes place. Increasing adolescents’ maximum bone mass and avoiding the risk factors for its loss are effective for preventing osteoporosis. This study investigated the factors influencing adolescents’ bone mineral density (BMD). The participants were 126 middle- and high-school students from Gangwon-do; 47.6% (n = 60) were male, with an average age of 15 (range 12–18) years of age. It was found that age, carbonated beverages, snacks, and calcium supplements were variables that showed significant differences in adolescents’ BMD. Additionally, through correlation analysis, it was found that height, weight, body mass index (BMI), body water, protein, minerals, body fat mass, and skeletal muscle mass were correlated with BMD. Multiple regression analysis identified age, calcium supplements, BMI, body fat mass, and skeletal muscle mass as BMD-associated factors. These results show that adolescents’ BMD is higher with lower body fat mass, higher BMI and skeletal muscle mass, and a higher intake of calcium supplements.

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