Table 3

Linear regression models for log e (CRP) and log e (SAA) on body fat percentage overall and stratified (n = 134)
loge(CRP) loge(SAA)
β SE 95%CI p interaction β SE 95%CI p-interaction
Full Modela 0.068 0.012 (0.04,0.09) 0.032 0.008 (0.02,0.05)
NSAID use (n = 48)b 0.037 0.027 (-0.02,0.09) 0.13 -0.005 0.023 (-0.05,0.04) 0.16
No NSAID use (n = 86) 0.076 0.013 (0.05,0.10) 0.032 0.008 (0.02,0.05)
History of arthritis (n = 55) 0.057 0.024 (0.01,0.11) 0.08 0.037 0.018 (0.00,0.07) 0.45
No History of arthritis (n = 79) 0.069 0.015 (0.04,0.10) 0.02 0.009 (0.00,0.04)
Weight Changec 0.53 0.53
Loss (n = 12) 0.128 0.229 (-0.43,0.69) -0.029 0.065 (-0.19,0.13)
Same (n = 88) 0.079 0.013 (0.05,0.10) 0.034 0.008 (0.02,0.05)
Gain (n = 34) 0.048 0.026 (-0.01,0.10) -0.009 0.023 (-0.06,0.04)

a loge(CRP) model is adjusted for age, ethnicity, energy (kcal), NSAID (yes/no), and weight difference(kg). loge(SAA) model is additionally adjusted for arthritis (yes/no).

b Current use of over-the-counter or prescription non-steroidal ant-inflammatory drugs (NSAID). Adjusted for age, race/ethnicity, energy (kg) weight difference (kg).

c Adjusted for age, energy (kcal), NSAID (yes/no). Weight gain is >5% increase in bodyweight since baseline and weight loss is >5% decrease since baseline.

Dee et al.

Dee et al. BMC Cancer 2012 12:343   doi:10.1186/1471-2407-12-343

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