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. 2016 Apr 5;2016:4946593. doi: 10.1155/2016/4946593

Table 4.

Linear regression coefficients (brute and adjusted) for bone mineral density according to sociodemographic, lifestyle, anthropometric, and body composition variables, in elderly men. Goiânia, GO, 2009. n = 132.

Variables β brute p value# Hierarchic multivariate analysis
β Aj p-value# R 2
1st level 0.29
 Age
  60–64 1.00 1.00
  65–69 −0.046 0.355 −0.047 0.323
  70–74 −0.047 0.323 −0.030 0.520
  75–79 −0.064 0.274 −0.055 0.320
  Over 80 −0.166 0.013 −0.158 0.012
 Years of school
  0–4 −0.102 0.009 −0.090 0.018
  5–7 −0.115 0.008 −0.120 0.005
  Over 8 1.000 1.00

2nd level 0.44
 Use of tobacco
  Nonsmoker 1.000 1.000
  Ex-smoker −0.025 0.470 0.004 0.896
  Smoker −0.102 0.063 −0.068 0.221
 BMI (WHO)
  Low weight −0.115 0.299 −0.089 0.400
  Eutrophic −0.154 0.001 −0.141 0.003
  Overweight −0.032 0.461 −0.039 0.376
  Obese 1.00 1.00
 BMI (Lipschitz)
  Low weight −0.161 0.000 −0.149 0.002
  Eutrophic −0.096 0.004 −0.059 0.110
  Overweight 1.00 1.00
 BFP
  Adequate −0.044 0.185 0.488 0.246
  Augmented 1.000 1.000
 WC
  Adequate −0.108 0.007 −0.020 0.720
  Enlarged −0.062 0.116 −0.017 0.718
  Very enlarged 1.000 1.000
 WHR
  No risk for CNTD 0.064 0.158 0.059 0.316
  At risk for CNTD 1.000 1.000

Due to loss of statistical significance, was not maintained in the final model of multivariate linear regression (p > 0.05).

#Linear regression test.

Adjusted by age and years of school (education level).