Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Oct 14:13:994406.
doi: 10.3389/fendo.2022.994406. eCollection 2022.

Effect of obesity status on adolescent bone mineral density and saturation effect: A cross-sectional study

Affiliations

Effect of obesity status on adolescent bone mineral density and saturation effect: A cross-sectional study

Gao-Xiang Wang et al. Front Endocrinol (Lausanne). .

Abstract

Background: The effect of obesity status on bone mineral density (BMD) in adolescents and whether there is a saturation effect is still insufficient. A cross-sectional study of adolescents aged 12-19 was conducted to investigate them.

Methods: Weighted multivariate linear regression models were used to assess the relationship between obesity status and BMD via datasets from the National Health and Nutrition Examination Survey 2011-2018. The nonlinear relationships and saturation values were ascertained by fitting smooth curves and analyzing saturation effects. At the same time, the subgroup stratified analysis was also performed.

Results: 4056 adolescents were included in this study. We found that body mass index (BMI) and waist circumference (WC) were significantly associated with total BMD, which remained significant in subgroups stratified by age, gender, standing height, and ethnicity. We also noticed an inverse correlation between left leg fat/lean mass and left leg BMD, which was only significant in males and other races. Fitting smooth curve and saturation effect analysis showed that BMI, WC, left leg fat/lean mass, and BMD had a specific saturation effect. There was a saturation effect on bone mineral density in adolescents with a BMI of 22 kg/m2, a WC of 70.5 cm, or a left leg fat/lean mass of 0.2994.

Conclusions: We found a positive saturation effect of BMI and WC with BMD and a negative saturation effect of left leg fat/lean mass with BMD. Appropriate obesity status allows adolescents to have better bone mass development but not excessive obesity.

Keywords: Adolescents; Bone mineral density; Fat/lean mass; NHANES; body mass index; bone mineral content; osteoporosis; waist circumference.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of participant selection.
Figure 2
Figure 2
The forest plots of each body part’s bone mineral density or bone mineral content and body mass index, respectively (A, B). Association of total bone mineral density and bone mineral content with body mass index (C, D). The solid red line represents the smooth curve fit between variables. Blue bands represent the 95% confidence interval from the fit. All confounding factors were adjusted.
Figure 3
Figure 3
The forest plots of each body part’s bone mineral density or bone mineral content and waist circumference, respectively (A, B). Association of total bone mineral density and bone mineral content with waist circumference (C, D). The solid red line represents the smooth curve fit between variables. Blue bands represent the 95% confidence interval from the fit (C, D). All confounding factors were adjusted.
Figure 4
Figure 4
The forest plots of each body part’s bone mineral density or bone mineral content and left leg fat/lean mass, respectively (A, B). Association of left leg bone mineral density and bone mineral content with left leg fat/lean mass (C, D). The solid red line represents the smooth curve fit between variables. Blue bands represent the 95% confidence interval from the fit (C, D). All confounding factors were adjusted.

References

    1. Gonzalez RE, Debrach-Schneider AC, Lamy O. [Osteoporosis]. Rev Med Suisse (2022) 18(764-5):56–8. doi: 10.53738/REVMED.2022.18.764-65.56 - DOI - PubMed
    1. Qaseem A, Forciea MA, McLean RM, Denberg TD, Barry MJ, Cooke M, et al. Treatment of low bone density or osteoporosis to prevent fractures in men and women: A clinical practice guideline update from the American college of physicians. . Ann Intern Med (2017) 166(11):818–39. doi: 10.7326/M15-1361 - DOI - PubMed
    1. Clynes MA, Westbury LD, Dennison EM, Kanis JA, Javaid MK, Harvey NC, et al. Bone densitometry worldwide: a global survey by the ISCD and IOF. Osteoporos. Int (2020) 31(9):1779–86. doi: 10.1007/s00198-020-05435-8 - DOI - PMC - PubMed
    1. Si L, Winzenberg TM, Jiang Q, M. Chen and AJ. Palmer: Projection of osteoporosis-related fractures and costs in China: 2010-2050. Osteoporos. Int (2015) 26(7):1929–37. doi: 10.1007/s00198-015-3093-2 - DOI - PubMed
    1. Alejandro P, Constantinescu F. A review of osteoporosis in the older adult: An update. Rheum. Dis Clin North Am (2018) 44(3):437–51. doi: 10.1016/j.rdc.2018.03.004 - DOI - PubMed

Publication types