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Table 2 Relationships between abdominal adipose tissue and bone mineral density assessed by linear regression

From: Gender-specific associations between abdominal adipose mass and bone mineral density in the middle-aged US population

 

Femoral neck BMD

Lumbar spine BMD

 

Univariate model

Multivariate model

Univariate model

Multivariate model

 

Coefficient (95% CI)

P value

Coefficient (95% CI)

P value

Coefficient (95% CI)

P value

Coefficient (95% CI)

P value

TAT

 Men

0.043 (0.027–0.058)

 < 0.001

-0.062 (-0.090–0.034)

0.001

0.044 (0.025–0.063)

 < 0.001

-0.031 (-0.070–0.008)

0.114

     BMI, kg/m2

   < 30

0.022 (-0.009–0.052)

0.157

-0.045 (-0.087–0.002)

0.042

0.031 (-0.003–0.065)

0.075

-0.008 (-0.065–0.049)

0.779

   ≥ 30

0.032 (-0.001–0.065)

0.060

-0.088 (-0.136–0.041)

0.001

0.036 (0.000–0.072)

0.048

-0.069 (-0.119–0.018)

0.009

 Women

0.062 (0.049–0.074)

 < 0.001

-0.009 (-0.043–0.025)

0.599

0.043 (0.028–0.059)

 < 0.001

0.006 (-0.033–0.045)

0.756

     BMI, kg/m2

    < 30

0.026 (-0.005–0.058)

0.099

0.001 (-0.042–0.044)

0.955

0.006 (-0.033–0.044)

0.761

-0.016 (-0.06–0.027)

0.451

  ≥ 30

0.038 (0.009–0.067)

0.012

-0.027 (-0.064–0.011)

0.162

0.030 (-0.001–0.060)

0.057

0.011 (-0.048–0.071)

0.701

SAT

 Men

0.066 (0.046–0.087)

 < 0.001

-0.073 (-0.111–0.035)

0.001

0.068 (0.044–0.092)

 < 0.001

-0.026 (-0.066–0.015)

0.206

    BMI, kg/m2

   < 30

0.045 (0.001–0.088)

0.044

-0.044 (-0.094–0.006)

0.085

0.056 (0.009–0.103)

0.022

0.004 (-0.074–0.082)

0.911

   ≥ 30

0.055 (0.010–0.101)

0.019

-0.099 (-0.167–0.030)

0.006

0.063 (0.010–0.116)

0.022

-0.056 (-0.120–0.008)

0.086

 Women

0.086 (0.070–0.102)

 

-0.009 (-0.051–0.034)

0.685

0.063 (0.042–0.083)

 < 0.001

0.012 (-0.030–0.054)

0.572

     BMI, kg/m2

   < 30

0.047 (0.001–0.092)

0.046

0.011 (-0.050–0.072)

0.720

0.025 (-0.025–0.075)

0.317

-0.004 (-0.062–0.055)

0.895

   ≥ 30

0.059 (0.035–0.084)

 < 0.001

-0.040 (-0.081–0.002)

0.059

0.044 (0.015–0.073)

0.004

0.020 (-0.032–0.072)

0.439

VAT

 Men

0.066 (0.009–0.124)

0.025

-0.086 (-0.173–0.002)

0.054

0.070 (0.007–0.134)

0.031

-0.065 (-0.169–0.039)

0.209

    BMI, kg/m2

   < 30

-0.002 (-0.074–0.07)

0.960

-0.126 (-0.245–0.007)

0.039

0.028 (-0.065–0.122)

0.539

-0.057 (-0.187–0.074)

0.385

   ≥ 30

0.009 (-0.087–0.106)

0.843

-0.076 (-0.199–0.046)

0.214

0.012 (-0.070–0.094)

0.764

-0.100 (-0.202–0.002)

0.055

 Women

0.126 (0.085–0.167)

 < 0.001

-0.012 (-0.075–0.051)

0.701

0.075 (0.028–0.122)

0.003

-0.007 (-0.095–0.081)

0.872

    BMI, kg/m2

   < 30

0.011 (-0.063–0.086)

0.759

-0.032 (-0.13–0.066)

0.511

-0.068 (-0.177–0.041)

0.211

-0.079 (-0.194–0.037)

0.176

   ≥ 30

-0.026 (-0.119–0.066)

0.564

0.010 (-0.078–0.098)

0.819

-0.013 (-0.102–0.076)

0.773

-0.011 (-0.106–0.084)

0.811

  1. Linear regression models were used to estimate the regression coefficients and 95% (CI) for the association of fat tissue with BMD. Multivariate model was adjusted for age, race, education, family income-to-poverty ratio, smoking and drinking status, leisure activity, body mass index, calcium supplement use, vitamin D supplement use, and diabetes, and for women, hormone replacement therapy, and menopause status
  2. Abbreviations: CI Confidence interval, SAT Subcutaneous adipose tissue, TAT Total adipose tissue, VAT Visceral adipose tissue
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BMC Musculoskeletal Disorders

ISSN: 1471-2474

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