Skip to main content

Table 3 Univariate and multivariate analysis on factors associated with WHR increase > 10% from diagnosis to T3 assessment, by stepwise logistic regression (n = 1171)

From: Weight and waist-to-hip ratio change pattern during the first five years of survival: data from a longitudinal observational Chinese breast cancer cohort

  Univariate analysis Multivariate analysis
OR 95%CI for OR P OR 95%CI for OR P
Age group at diagnosis, year    0.031    0.033
 < 40 1 – – 1 – –
 40–49 0.572 0.352–0.927 0.024 0.587 0.361–0.956 0.032
 50–59 0.774 0.486–1.233 0.281 0.923 0.571–1.493 0.946
 ≥60 0.520 0.305–0.886 0.016 0.684 0.390–1.200 0.237
Education level    0.200    
High school or below 1 –     
College or above 1.272 0.881–1.836     
Marital status       
Married or cohabitation 1 –     
Unmarried or divorced or widowed 1.105 0.814–1.501 0.522    
Family income, HKD/month
 < 30,000 1 –     
 ≥30,000 1.184 0.855–1.638 0.310    
Employment status       
 Working 1 –     
 Not working 1.228 0.928–1.625 0.150    
Number of comorbidities    0.006    0.009
 0 1 –   1 –  
 1 0.878 0.633–1.217 0.434 0.859 0.610–1.210 0.385
 ≥2 0.418 0.245–0.713 0.001 0.417 0.238–0.732 0.002
Menopausal status from T0 to    0.445    
T3 assessment       
 Pre-menopausal 1 –     
 Peri-menopausal 1.146 0.760–1.727 0.515    
Post-menopausal 0.941 0.629–1.409 0.768    
Parity    0.259    
 0 1 –     
 ≥1 0.832 0.605–1.145     
AJCC stage    0.203    
 0-I 1 –     
 II 0.840 0.620–1.136 0.258    
 III 0.691 0.452–1.057 0.089    
ER status, %
 Positive 1    1   
 Negative 0.663 0.471–0.933 0.019 0.624 0.440–0.886 0.008
PR status, %
 Positive 1      
 Negative 0.895 0.674–1.189 0.444    
HER 2 status, %
 Positive 1      
 Negative 1.124 0.814–1.554 0.478    
Type of surgery
 Mastectomy 1 –     
Conservation 1.236 0.931–1.640 0.143    
Chemotherapy, %
 No 1 –     
 Yes 0.780 0.571–1.065 0.118    
Radiotherapy, %
 No 1      
 Yes 1.081 0.794–1.472 0.621    
Endocrine therapy, %
 No 1 –     
 Yes 1.229 0.882–1.712 0.223    
Average sports participation    0.655    
from T1 to T3 assessment       
Never 1 –     
Rarely/occasionally 0.843 0.543–1.311 0.449    
 Frequently 0.942 0.595–1.491 0.799    
Average dietary energy intake from T1 to T3 assessment
 ≤median 1 –     
 >median 1.010 0.764–1.336 0.943    
Average dietary carbohydrate intake from T1 to T3
 assessment, g/1000 kcal/day       
 ≤median 1 –     
 >median 1.052 0.796–1.391 0.722    
Average dietary fat intake from T1 to T3 assessment, g/1000
 kcal/day       
 ≤median 1 –     
 >median 1.096 0.829–1.449 0.522    
Average vegetables and fruits intake from T1 to T3 assessment, g/day
 < 400 1 –     
 ≥400 0.792 0.550–1.140 0.210    
Average coffee intake from T1 to T3 assessment, ml/week
 < 200 1 –     
 ≥200 0.914 0.662–1.261 0.584    
Average sugar-sweetened beverage intake from T1 to T3
 assessment, ml/week       
 < 200 1 –     
 ≥200 0.802 0.489–1.316 0.383    
  1. Univariate logistic regression was performed to identify any potential factors associated with very substantial weight gain from diagnosis to T3 assessment. The potential variables with P < 0.1 in univariate analysis were included into the multivariate logistic regression model, including age group at diagnosis, number of comorbidities and ER status
  2. From T0 to T3 assessment, patients’ menopause status could be classified as three groups: pre-menopausal, peri-menopausal and post-menopausal. Peri-menopausal was defined as pre-menopausal patients at T0 who described a change in menopause status at T3
  3. Abbreviations: WHR waist-to-hip ratio; OR odds ratio; CI confidence interval; HKD Hong Kong dollars; AJCC American joint Committee on cancer; ER estrogen receptor; PR progesterone receptor; HER 2 human epidermal-growth-factor receptor 2; MET metabolic equivalent of task; g gram
Back to article page

BMC Cancer

ISSN: 1471-2407

Contact us