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Table 1 The socio-demographic factors associated with the prescription of an anti-obesity medication and measures of clustering at the practice level

From: The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study

  Women Men
  Total population (% on medication) OR1(95% CI) P-value Total population (% on medication) OR1(95% CI) P-value
Age group       
   16-24 127 719 (0.9) 0.29 (0.27, 0.31) <0.001 133 610 (0.1) 0.15 (0.13, 0.18) <0.001
   25-34 132 355 (2.2) 0.71 (0.68, 0.75) <0.001 135 349 (0.4) 0.49 (0.44, 0.55) <0.001
   35-44 136 022 (3.0) 1.00   141 154 (0.7) 1.00  
   45-54 123 844 (2.9) 0.98 (0.93, 1.02) 0.35 127 073 (0.9) 1.29 (1.19, 1.40) <0.001
   55-64 96 110 (2.6) 0.88 (0.84, 0.93) <0.001 96 422 (1.0) 1.42 (1.30, 1.55) <0.001
   65-74 72 726 (1.5) 0.50 (0.46, 0.53) <0.001 65 679 (0.7) 0.98 (0.88, 1.09) 0.71
   75+ 61 728 (0.3) 0.09 (0.08, 0.10) <0.001 39 721 (0.2) 0.22 (0.17, 0.28) <0.001
Settlement band       
   Urban 290 578 (2.5) 1.00   278 807 (0.7) 1.00  
   Intermediate 248 335 (2.0) 0.97 (0.89, 1.05) 0.43 239 862 (0.6) 0.90 (0.80, 1.01) 0.065
   Rural 199 655 (1.6) 0.86 (0.79, 0.93) 0.001 208 669 (0.5) 0.81 (0.72, 0.91) <0.001
Area deprivation       
   Least deprived 154 850 (1.6) 1.00   149 806 (0.5) 1.00  
   2nd 162 180 (1.8) 1.22 (1.15, 1.30) <0.001 159 870 (0.6) 1.19 (1.08, 1.32) 0.001
   3rd 131 458 (2.0) 1.45 (1.36, 1.54) <0.001 129 325 (0.5) 1.16 (1.04, 1.30) 0.009
   4th 149 087 (2.2) 1.64 (1.55, 1.74) <0.001 146 440 (0.6) 1.28 (1.15, 1.42) <0.001
   Most deprived 140 993 (2.9) 1.95 (1.83, 2.07) <0.001 141 897 (0.8) 1.64 (1.47, 1.82) <0.001
Measures of variation or clustering       
   Practice level variance (SE) 0.25 (0.024)    0.21 (0.026)   
   Variance Partition Coefficient (%) 7.2    6.1   
   Median Odds Ratio 1.61    1.55   
  1. 1Odd Ratio (OR) and 95% Confidence Intervals from fully adjusted multi-level logistic regression models stratified by gender.