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

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

	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
2^nd	162 180 (1.8)	1.22 (1.15, 1.30)	<0.001	159 870 (0.6)	1.19 (1.08, 1.32)	0.001
3^rd	131 458 (2.0)	1.45 (1.36, 1.54)	<0.001	129 325 (0.5)	1.16 (1.04, 1.30)	0.009
4^th	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

¹Odd Ratio (OR) and 95% Confidence Intervals from fully adjusted multi-level logistic regression models stratified by gender.