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Table 3 Linear regression models for log e (CRP) and log e (SAA) on body fat percentage overall and stratified (n = 134)

From: DEXA measures of body fat percentage and acute phase proteins among breast cancer survivors: a Cross-Sectional Analysis

 

loge(CRP)

loge(SAA)

 

β

 SE

95%CI

p interaction

β

SE

95%CI

p-interaction

Full Model a

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 Change c

   

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)

 
  1. 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).
  2. 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).
  3. 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.