Table 2

Age-dependent linear regression cross-sectional analyses

Parameter estimatesModel
β-EstimateSEt ValueP valueFAdj. R2 dfP value
Case–control series
Linear model
All patients
 Age:status addicted−0.47780.1768−2.7020.00736.830.06133, 2650.0002
 Status addicted24.856111.08932.2410.0258
 Quadratic model
  Status addicted0.26340.06094.3260.00000.09616.70005, 263<0.0001
  (Age)2:status addicted3.16641.03013.0740.0023
  (Age)2 −2.53160.8370−3.0250.0027
 Men
  Age:status control−0.42320.2288−1.850.06682.63000.025242, 1240.0760
 Women
  Age−0.01450.0038−3.7880.00029.60000.06642, 1390.0001
  Age:status addicted0.00710.00213.3310.0011
All patients
Linear model
 Status addicted0.45470.08525.337<0.00010.058533.753, 1579<0.0001
 Age:status addicted−0.00710.0016−4.505<0.0001
 Quadratic model
  Status addicted0.21120.03216.572<0.00010.059320.955, 1577<0.0001
  Age:status addicted−4.16471.3631−3.0550.00229
 Men
  Status addicted0.56280.11954.709<0.00010.059923.5231, 057<0.0001
  Age:status addicted−0.00830.0019−4.423<0.0001
 Women
  Status addicted0.17230.04004.308<0.00010.0326118.561, 520<0.0001