Original Full Length ArticleAssociations between body composition and bone density and structure in men and women across the adult age spectrum☆
Highlights
► Section modulus declines with age in women only, a finding not explained by age/sex differences in lean body mass. ► Section modulus was positively associated with lean body mass index and muscle strength and negatively associated with fat mass index. ► Adjustment for differences in body composition eliminated the greater section modulus observed in black participants. ► Greater lean body mass index was associated with lower cortical bone density and greater trabecular bone density. ► Associations between body composition and bone outcomes did not vary by sex (no significant tests for interaction).
Introduction
Body composition varies according to age, sex, and racial background, and contributes to the normal variability in bone structure and bone mineral density (BMD) among adults. Aging is associated with loss of muscle mass and quality, and age-related muscle loss is accompanied by fat gain in older adults [1]. It is well established that low body mass index (BMI) is a risk factor for osteoporosis and fracture [2]; however, studies of the independent contributions of lean mass and fat mass to bone health have yielded conflicting results. For example, an early dual energy X-ray absorptiometry (DXA) report from the Health, Aging, and Body Composition study (Health-ABC) of men and women, ages 70 to 79 years, concluded that lean mass and fat mass were both positively associated with BMD, however, the associations varied according to sex, measurement site, and the index used to adjust for bone size [3]. A subsequent Women's Health Initiative study reported that femur BMD and cross-sectional area (CSA) were greater in women with higher BMI and values scaled in proportion to lean mass but not fat or total body mass [4]. More recent studies suggested differential effects of subcutaneous versus visceral fat mass. The majority of studies employing computed tomography (CT) measures of fat distribution demonstrated that visceral adipose tissue was negatively associated with BMD and bone structure [5], [6], [7], [8].
The “functional muscle–bone unit” approach posits that bone adapts to the mechanical forces to which it is subjected in order to keep the bone strength at a constant set point [9]. A recent peripheral quantitative computed tomography (pQCT) study in men ages ≥ 65 years, enrolled in the Osteoporotic Fractures in Men Study (MrOS) demonstrated that leg power and physical activity were positively associated with bone size and estimates of bone compressive strength [10]. Muscle metabolism may also affect bone health; fatty infiltration of muscle was associated with a higher risk of fracture in Health-ABC participants, independent of BMD, muscle CSA, and muscle strength [11], [12]. These data support the concept that differences in lean mass and muscle quality between subjects of varying age, sex, race, and total fat mass play a critical role in determining epidemiologic associations between these variables and bone outcomes, including fractures.
Prior studies of the functional muscle–bone unit and the impact of adiposity on BMD and bone structure were largely limited to elderly or adolescent participants, were frequently restricted to males or females, and usually did not examine race differences. A recent study demonstrated positive associations between skeletal muscle mass and bone density and structure at multiple skeletal sites; however, the cohort was > 96% white, and the study did not include measures of adiposity [13]. To our knowledge, no prior studies examined measures of volumetric BMD, cortical structure, body composition, muscle strength, and muscle density across the age range from young adults to the elderly in a multiethnic sample.
This cross-sectional study in 500 adults, ages 21 to 78 years included DXA measures of whole body and regional lean and fat mass, tibia pQCT measures of muscle area, muscle density, trabecular and cortical volumetric BMD and cortical structure, and dynamometric measures of isometric muscle strength. The objectives were to (1) determine the effects of age, sex, and race on lean body mass, muscle strength, and muscle density; (2) determine the effects of age, sex and race on trabecular and cortical BMD, cortical section modulus (a summary measure of cortical dimensions); and (3) examine associations between body composition and bone outcomes.
Section snippets
Study setting and participants
Adults, ages 21 to 78 years, were enrolled as healthy reference participants for bone studies at the Children's Hospital of Philadelphia (CHOP) and University of Pennsylvania (UPENN) between March of 2004 and June of 2008. Participants were recruited from UPENN internal medicine clinics and the surrounding community using flyers and newspaper advertisements. Exclusion criteria included a history of chronic diseases or medications known to affect nutrition or bone health, such as a reported
Subject characteristics
The participant characteristics are summarized in Table 1 according to sex and race. Black women had significantly greater BMI and FMI, compared with all other groups. Within males and females, tibia length was significantly greater in blacks compared with non-blacks (p < 0.001), relative to height.
Muscle outcomes
Table 2 summarizes the multivariable models for DXA whole body LBMI, pQCT muscle density, and muscle strength. LBMI was lower in older participants and women, greater in blacks, and positively
Discussion
These data demonstrated distinct associations between body composition and cortical dimensions, and trabecular BMD and cortical BMD (summarized in Table 5). Greater LBMI and muscle strength were independently associated with greater section modulus, while greater FMI was associated with lower section modulus after adjustment for LBMI. Travison et al. reported a positive effect of LBMI and a negative effect of FMI on DXA-based estimates of cortical structure in the proximal femur in men [26].
Conflicts of interest
The authors have no potential conflicts of interest to disclose.
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Funding: This work was supported by NIH grants R01DK064966 and K24DK076808, and the University of Pennsylvania Clinical Translational Research Center (UL1-RR024134). Dr. Alexander was supported by the Bertha Dagan Berman-FOCUS Medical Student Fellowship.