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Table 4 Bivariate associations of all variables with knowledge and attitude score

From: Awareness regarding risk factors of type 2 diabetes among individuals attending a tertiary-care hospital in Bangladesh: a cross-sectional study

Variables Association with knowledge score Association with attitude score
Correlation coefficient P value Correlation coefficient P value
Age, years, mean ± SD 0.092 0.067* 0.029 0.56*
Monthly income , $, median (range) 0.263 0.0001 0.28 0.0001
BMI, kg/m2, mean ± SD 0.15 0.003* 0.09 0.07*
Knowledge score, mean ± SD - - 0.51 0.0001*
Attitude score, mean ± SD 0.51 0.0001* - -
  Knowledge score mean ± SD   Attitude score mean ± SD  
Gender     
  Male 6.27 ± 2.32 0.0001 23.57 ± 2.87 0.0001
  Female 5.14 ± 2.45 22.41 ± 2.88
Education     
  Illiterate 4.06 ± 2.36 0.0001 21.17 ± 2.59 0.0001
  Primary to 8th grade 4.70 ± 2.14 22.37 ± 2.87
  Secondary-higher secondary 6.14 ± 2.20 23.45 ± 2.66
  Graduate & above 7.14 ± 2.05 24.18 ± 2.96
Occupation     
  Service 6.74 ± 2.33 0.0001§ 23.72 ± 2.99 0.0001§
  Business 6.10 ± 2.02 23.79 ± 2.40
  Housewife 5.0 ± 2.45 22.17 ± 2.86
  Unemployed 5.17 ± 2.42 23.20 ± 3.14
Family history of diabetes     
  Have family history 6.19 ± 2.33 0.0001 23 ± 3.04 0.79
  No family history 5.06 ± 2.45 23.1 ± 2.74
Acquisition of information regarding diabetes     
  Received information 5.79 ± 2.44 0.001 23.09 ± 2.98 0.0001
  Not received information 4.51 ± 2.30 21.59 ± 2.14
BMI (kg/m 2 )     
  Underweight (<18.5) 4.0 ± 2.61 0.007§ 20.76 ± 3.03 0.035§
  Normal (18.5-22.9) 5.37 ± 2.28 22.89 ± 2.79
  Overweight (23–27.5) 5.70 ± 2.56 22.92 ± 3.16
  Obese (>27.5) 6.24 ± 2.32 23.33 ± 2.47
  1. BMI = Body Mass Index.
  2. *Pearson correlation was used for analysis of continuous, normally distributed variables.
  3. Spearman correlation was used for analysis of continuous, non-normally distributed variables.
  4. Student t test was used to compare mean across normally distributed variables with 2 categories.
  5. §One-way ANOVA was used to compare mean and median scores and values across categorical variables with more than 2 categories.