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. 2013 Mar 20;13:37. doi: 10.1186/1471-2431-13-37

The relationship between visceral fat thickness and bone mineral density in sedentary obese children and adolescents

Ismael Forte Freitas Júnior 1,5, Jefferson Rosa Cardoso 2,5, Diego G Destro Christofaro 3,5, Jamile Sanches Codogno 4,5, Augusto César Ferreira de Moraes 5,6,7,8, Rômulo Araújo Fernandes 1,5,9,✉
PMCID: PMC3606829  PMID: 23510224

Abstract

Background

Among adults, obesity has been positively related to bone mineral density. However, recent findings have pointed out that abdominal obesity could be negatively related to bone density. The above mentioned relationship is not clear among pediatric populations. Therefore, this cross-sectional study analyzed the relationship between thickness of abdominal adipose tissue and bone mineral variables in sedentary obese children and adolescents.

Methods

One hundred and seventy five obese children and adolescents (83 male and 92 female) with ages ranging from 6 to 16 years-old were analyzed. Bone mineral content and density were estimated by dual-energy X-ray absorptiometry and ultrasound equipment which estimated the thickness of the abdominal adipose tissue. Pubertal stage was self-reported by the participants.

Results

The mean age was 11.1 (SD = 2.6). Thickness of the abdominal adipose tissue was negatively related to bone mineral density (r = −0.17 [r95%CI: -0.03;-0.32]), independent of gender, pubertal stage and other confounders (β = −0.134 ± 0.042 [β95%CI: -0.217; -0.050]).

Conclusions

In sedentary obese children and adolescents abdominal obesity is negatively related to bone mineral density, suggesting a potential link between abdominal obesity and osteoporosis.

Keywords: Child, Adolescents, Obesity, Bone size, Bone density, Ultrasonography

Background

In modern society osteoporosis is a highly occurring disease and constitutes a public health concern due to its impact on public costs [1]. Early life has been pointed out as a crucial period in the development of osteoporosis. Childhood and adolescence are phases of the human development during which the adult bone mass density is determined and, therefore, problems during this period of life could compromise bone health in adulthood [2].

Worldwide, children and adolescents are widely affected by obesity and its comorbidities [3-6]. Despite these related comorbidities, overweight/obesity has been associated with a lower occurrence of osteoporosis in adulthood. However, body weight is composed of lean and fat mass and the actual effect of the adipose tissue on bone mineral density (BMD) is not clear.

Moreover, the distribution of the adipose tissue could be a relevant confounder in this complex process that links obesity to osteoporosis. Recently, Bhupathiraju et al. [7] analyzing Porto Rican adults (47–79 years) observed that a higher abdominal fat mass (in kg) is related to a lower BMD, but the amount of visceral and subcutaneous abdominal adipose tissue were not assessed. Furthermore, there is an absence of data about this issue in pediatric populations. Understanding the relationship between pediatric obesity and bone health is relevant for health professionals [8-10], because childhood and adolescence are two critical periods in the prevention and development of diseases in adulthood (e.g. arterial hypertension, diabetes mellitus and dyslipidemias) [2,8-10]. So, the purpose of this study was to analyze the relationship between abdominal adipose tissue and BMD in obese children and adolescents.

Methods

Participants

The present study was approved by the Ethical Research Expert Committee of the Universidade Estadual Paulista in Presidente Prudente, Brazil (# 087/2008). The sample size was estimated through an equation for correlation’s coefficients, which took into consideration a power of 80% and significance of 5% (z = 1.96). A previous study analyzed the relationship between BMD and intra-abdominal adipose tissue (IAAT) and identified correlations ranging from r = −0.31 to r = −0.65 [11]. Thus, the lowest coefficient was inserted in the equation and the minimum sample size indicated was 80 subjects.

The subjects were invited, through television and newspaper advertising, to participate in this study. The participants contacted the researchers by phone and an appointment was made in order to take measurements at the Campus of the University. Initially, the diagnosis of obesity was based on body mass index cut-off points, adjusted by sex and age, developed by Cole et al. [12]. After a positive diagnosis of obesity, some inclusion criteria were also used to select the sample: i) aged between 6 and 17 years [chronological age computed taking into account their birthday and the measurement day]; ii) no engagement in regular physical activity within the three months prior to the study (established via a face-to-face interview with the child/adolescent and their parents); iii) a self-report of no diagnosis of either cardiovascular disease or regular medicine use and iv) a consent form signed by parents/guardians to participate in the study. Finally, one hundred and seventy five obese children and adolescents (83 male and 92 female) with ages ranging from 6 to 16 years-old were included in the study.

Bone mineral density

Body composition and BMD were estimated by Dual-energy X-ray absorptiometry (DEXA) (Lunar DPX-NT; General Electric Healthcare, Little Chalfont, Buckinghamshire [software version 4.7]). The method estimated the percentage of body fat (%BF) and trunk fat mass (TFM [kg]), as well as, whole-body bone mineral density (BMD [g/cm2]). All data were collected by trained staff and all measurements were taken at the laboratory of the University, in a temperature controlled room. Each morning, before the first measurement, the DEXA equipment was calibrated by the same researcher according to the references provided by the manufacturer.

Ultrasound measures of the abdominal adipose tissue

Ultrasound equipment (Toshiba Aplio Model Tochigi-ken, Japan) was used to measure the thickness of adipose tissue in the abdominal region. IAAT was defined as the distance between the internal face of the rectus abdominal muscle and the anterior wall of the aorta. Thus, the thickness (in cm) of IAAT was estimated. For statistical analysis, the values of IAAT were stratified into tertile (Tertile-1 [bottom]; middle Tertile-2 [middle]; Tertile-3 [top]). All measurements were taken by a trained physician, in a Hospital, in a room with a constantly controlled temperature. Each morning, before any measurements were taken, the device was calibrated and, according to the reference values provided by the manufacturer, the tests presented high reliability.

Pubertal stage

Pubertal stage was self-assessed by the participants. The subjects received a standardized series of drawings to assess their own pubertal development (Girls: drawings with five stages of breast and female pubic hair development; Boys: drawings with five stages of genitalia and male pubic hair development) [13,14]. These scales have been previously validated in Brazilian pediatric populations [15,16]. The drawing had appropriate descriptions accompanying it. The results were placed by each subject in a locked box to guarantee the integrity and anonymity of the subjects, and only the main researcher had access to them. All pubertal measurements were performed at the University laboratory.

Statistical analysis

The Kolmogorov-Smirnov (K-S) test, used to test the distribution of the numerical variables and logarithm transformation, was used in variables of non-parametric distribution. Mean, median, 95% confidence interval (95% CI), standard deviation (SD) and interquartile range (P75-P25) were used as descriptive statistics. For analysis of variance (ANOVA), homogeneity assumption was assessed in advance. If the assumption was in accordance, test F was performed and, in cases of statistical differences, the tertiles of IAAT were tested through Tukey’s multiple comparisons. Pearson´s correlation was used to analyze the relationship between the numerical variables. In cases of moderate-high correlations, multivariable models were elaborated using linear regression and, therefore, the correlations between BMD and IAAT were adjusted by potential confounders (sex, age, total body fatness, trunk fatness, height and pubertal stage). Chi-square test analyzed associations between categorical variables and Yates correction was applied in 2×2 contingence tables. Statistical significance was set at 5% and statistical software BioEstat version 5.0 was used for all analyses.

Results

General characteristics of the analyzed sample are presented in Table 1. The K-S test indicated that most of the numerical variables were under non-parametric distribution, except for weight, height and %BF. Male gender made up 47.4% of the sample and there was a similarity between the numbers of boys and girls (P = 0.496). The mean age was 11.1 (SD = 2.6), and ranged from 6 to 16 years-old and the proportion of children and adolescents was similar (P = 0.112).

Table 1.

General characteristics of obese children and adolescents (n = 175)

  Variables Mean (SD) (95% CI) Median (P75-P25)
 Age (years)
 11.1 (2.6)
 (10.7; 11.5)
 11 (4)
 Weight (kg)
 66.8 (19.2)
 (63.9; 69.7)
 64.1 (25.3)
 Height (m)
 1.50 (0.12)
 (1.48; 1.52)
 1.50 (0.20)
 %BF
 45.4 (5.2)
 (44.6; 46.2)
 45 (7.2)
 TFM (kg)
 13.8 (5.1)
 (13.1; 14.5)
 13.4 (6.3)
 IAAT (cm)
 4.35 (1.5)
 (4.13; 4.58)
 4.1 (1.8)
 BMD (g/cm2)
 1.04 (0.12)
 (1.03; 1.06)
 1.03 (0.19)
Categorical Variables
 n (%)
 P
  
Gender
  
 0.496
  
 Male
 83 (47.4)
  
  
 Female
 92 (52.6)
  
  
Pubertal stage
  
 0.037
  
 Stage 1
 70 (40)
  
  
 Stages 2-3
 62 (35.4)
  
  
 Stages 4-5
 43 (24.6)
  
  
Age
  
 0.112
  
 6-10 years
 77 (44)
  
  
 11-17 years 98 (56)    
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SD = standard-deviation; 95%CI = 95% confidence interval; %BF = percentage of body fatness; Trunk-BF = trunk body fatness; IAAT = intra-abdominal adipose tissue; BMD = bone mineral density; TFM = trunk fat mass.

There were more children and adolescents at initial pubertal stage (40%) than final pubertal stage (24.6%) (P = 0.037). Children and adolescents at a higher pubertal stage had a higher BMD (Stage-1 = 0.96 ± 0.07 g/cm2; Stages 2-3 = 1.06 ± 0.10 g/cm2; Stages 4-5 = 1.16 ± 0.10 g/cm2; ANOVA P = 0.001). Boys and girls had similar values of BMD (1.05 ± 0.11 g/cm2 and 1.04 ± 0.12 g/cm2 [P = 0.630], respectively). Adolescents presented higher BMD than children (6-10 years = 0.95 ± 0.05 g/cm2 and 11-17 years = 1.12 ± 0.10 g/cm2 [P = 0.001], respectively).

Age (r = 0.80), weight (r = 0.78), height (r = 0.70), TFM (r = 0.63) and pubertal stage (r = 0.66) were significantly related to BMD, except for %BF values (r = 0.09). In the multivariable model, IAAT was negatively related to BMD, independent of other confounders (Table 2). IAAT was stratified into tertiles and the values of BMD (Figure 1) were compared between them. Obese adolescents in the highest IAAT tertile presented lower BMD than those in the lowest IAAT tertile.

Table 2.

Relationship between intra-abdominal adipose tissue and variables related to the bones of children and adolescents

 
 Univariate
 Multivariable model
  r(r95%CI) βadjusted ± SEM (β95%CI) P
BMD*
  
  
  
  
IAAT* −0.17 (−0.03; -0.32) −0.134 ± 0.042 (−0.217;-0.050) 0.002
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* = numerical variable under logarithm transformation; βadjusted = model adjusted by sex, age, height, total body fatness, trunk fatness and pubertal stage; BMD = bone mineral density; IAAT = intra-abdominal adipose tissue; SEM = standard error mean; 95%CI = 95% confidence interval.

Figure 1.

Figure 1

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Bone mineral density according to intra-abdominal adipose tissue tertiles.

Discussion

A cross-sectional study, which identified that IAAT is inversely related to BMD. In this pediatric sample, the mean of IAAT was 4.35 cm which seems a normal value, because it was similar to another group of sedentary obese children and adolescents without non-alcoholic fat liver disease (mean value of 4.1 cm) [17]. On the other hand, the same group of obese children and adolescents had a significant decrease of 1.6 cm after one year of exercise intervention [17], supporting the relevance of the sedentary lifestyle as an inclusion criteria and evidencing the potential of prolonged engagement of physical exercise in combating comorbidities related to abdominal obesity [8,9]. The inclusion of the sedentary lifestyle was also important because there is a positive relationship between increased habitual physical activity and BMD [18].

Gender is an important variable related to skeletal formation. Male adolescents, more than girls, are affected by biological processes that accelerate bone development [2]. In the final stages of adolescence, boys are taller and have a higher bone mineral density [2]. Through childhood and adolescence, when compared to the female gender, boys have an increased likelihood of practicing sports [8,9], which are related to bone development. Moreover, during adulthood, hormonal characteristics of male obesity may exert deleterious effects on bone microarchitecture [19]. Therefore, the inclusion of gender as a potential confounder constitutes a methodological strength, because it indicates that IAAT is inversely related to BMD independent of this important confounder.

Agreeing with previous studies, in this sample there was a positive relationship between body weight/adiposity and BMD [11,20]. Indeed, obese subjects, from an early age, have increased bone density, mainly due to the stress occasioned by the increased weight on bone tissue that causes deformation and, hence, leads to bone remodeling [2]. Similarly, the same mechanical/biochemical process offers support to the idea that sports with impact are important tools in the promotion of adequate bone health in adolescents [2]. It is noteworthy that although obesity is positively related to BMD, more recent findings suggest that bone quality is compromised in obese subjects [21].

On the other hand, our findings point out that body fatness distribution should be considered as a potential confounder in this relationship, because increased IAAT was inversely related to BMD, independent of general obesity. Previous studies involving anthropometric (waist-to-hip ratio) [20] and DXA variables (abdominal fatness in kg) [7] identified similar relationship patterns in children and adults, respectively.

The inverse relationship between IAAT and BMD could be based on the action of adipokines produced by adipose tissue over growth mediators related to bone development. Nemet et al. [22] identified, in a longitudinal design, that the practice of very high intensity physical exercise simultaneously caused a significant increase in pro-inflammatory markers (tumor necrosis factor - alpha) and a subsequent decrease in growth mediators, such as insulin-like-growth-factor-I. Similarly, the adipose tissue located in the abdominal region (mainly the visceral one) has a special role in the release of adipokines into the bloodstream [23]. Therefore, it is possible to believe that IAAT could be a risk factor related to a harmful effect in bone remodeling and in turn to a risk factor of osteoporosis in adulthood.

Visceral adipose tissue is related to insulin resistance and insulin plays a role in the proliferation of osteoblasts. Thus, decreased insulin action may be one of the possible mechanisms by which obesity affects bone mass. In agreement, in a recent study, increased insulin concentration and HOMA-IR were considered negative predictors of bone mineral density in adolescents [24]. However, this is a recent finding that needs further top research focusing on the understanding of the physiological common mechanisms behind this association.

Our study has positive points, such as: (i) the sample size calculation; (ii) the use of adequate techniques to measure body composition/IAAT. On the other hand, limitations should be recognized: (i) the cross-sectional design (absence of causality statements), (ii) an absence of measurements relating to the intake of calcium and vitamin D and (iii) an absence of pro-inflammatory adipokines. Moreover, there were correlations of low magnitude between BMD and IAAT, indicating that other variables are important in this relationship and, therefore, further studies are necessary to identify them.

Conclusions

In summary, our findings indicate that abdominal obesity negatively affects the bone density of obese children and adolescents, indicating that abdominal obesity could be a determinate in the development of osteoporosis in adulthood. Further studies should analyze whether this negative effect also occurs in non-obese youth.

Abbreviations

BMD: Bone mineral density; IAAT: Intra-abdominal adipose tissue; BMI: Body mass index; TFM: Trunk fat mass; DEXA: Dual-energy X-ray absorptiometry; BF: Body fat; TFM: Trunk fat mass; K-S: Kolmogorov-smirnov; SD: Standard deviation; ANOVA: Analysis of variance; Cm: Centimeters; SEM: Standard-error mean.

Authors’ contributions

IFFJ: (1) the conception and design of the study, acquisition of data and analysis and interpretation of data, (2) drafting the article and revising it critically for important intellectual content, (3) final approval of the version to be submitted. DGDC: (1) revising it critically for important intellectual content, (2) final approval of the version to be submitted. JRC: (1) revising it critically for important intellectual content, (2) final approval of the version to be submitted. ACFM: (1) revising it critically for important intellectual content, (2) final approval of the version to be submitted. JSC: (1) revising it critically for important intellectual content, (2) final approval of the version to be submitted. RAF: (1) the conception and design of the study (2) revising it critically for important intellectual content, (3) final approval of the version to be submitted. All authors read and approved the final manuscript.

Competing interesting

The authors declare that there is no conflict of interest.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2431/13/37/prepub

Contributor Information

Ismael Forte Freitas Júnior, Email: ismael@fct.unesp.br.

Jefferson Rosa Cardoso, Email: jeffcar@uel.br.

Diego G Destro Christofaro, Email: diegochristoaro@yahoo.com.br.

Jamile Sanches Codogno, Email: jamile_sc@yahoo.com.br.

Augusto César Ferreira de Moraes, Email: moraes82@yahoo.com.br.

Rômulo Araújo Fernandes, Email: romulo@fct.unesp.br.

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