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. 2019 Sep 6;13(9):e0007714. doi: 10.1371/journal.pntd.0007714

Table 2. Results from multivariate hierarchical analysis of the association of geographic and socioeconomic factors with leprosy treatment default (N = 20,063), Brazil, 2007–2014.

Variable MODEL A
(Block 1)*
MODEL B
(Blocks 1 and 2)**
MODEL C
(Blocks 2 and 3)***
OR (95% CI) P-value OR (95% CI) P-value OR (95% CI) P-value
Sex
 Male 0.87 (0.77–0.99) 0.035 0.88 (0.77–1.00) 0.055 0.88 (0.77–1.00) 0.047
 Female 1 1 1
Age (per year) 0.99 (0.99–1.00) 0.002 1.00 (0.99–1.00) 0.464 1.00 (0.99–1.00) 0.909
Distal variables
Region of family home
 North 1.57 (1.25–1.97) <10−3
 Northeast 1.44 (1.17–1.78) 0.001
 Midwest 1.35 (1.06–1.72) 0.014
 South/Southeast 1
Location of family home
 Rural 0.97 (0.82–1.14) 0.691
 Urban 1
Intermediate variables
Ethnicity/skin colour
 Black 1.29 (1.01–1.69) 0.045
 ‘Pardo’ (mixed/brown) 0.98 (0.82–1.16) 0.800
 Other (White, Asian, Indigenous) 1
Highest level of education
 Pre-school/illiterate 0.99 (0.75–1.29) 0.926
 1–5 years 0.99 (0.78–1.25) 0.909
 6–9 years 1.17 (0.92–1.48) 0.188
 No data 0.89 (0.67–1.18) 0.421
 > 9 years 1
Familial per capita income
 No income 1.41 (1.07–1.86) 0.016
 0.1–0.25 1.42 (1.13–1.77) 0.002
 0.26–0.5 1.18 (0.92–1.53) 0.189
 > 0.5 1
Employment
 Unemployed (not student) 0.98 (0.82–1.18) 0.860
 Student 0.90 (0.75–1.09) 0.305
 No data 1.17 (0.94–1.46) 0.169
 Employed 1
Proximal variables
Housing material
 Wood, mud or others 0.97 (0.82–1.14) 0.679
 Brick or cement 1
Household water supply
 Non-public network supply 0.90 (0.76–1.07) 0.248
 Public network 1
Sewage disposal
 Septic tank or open sewage 0.96 (0.82–1.13) 0.661
 Public network 1
Source of home lighting
 Community meter 1.11 (0.77–1.61) 0.583
 Informal home lighting or no electricity 1.53 (1.28–1.82) <10−3
 Home meter 1
Waste collection
 Informal waste collection 1.00 (0.83–1.21) 0.993
 Public collection system 1
Household density (individuals/room)
 Up to 0.50 1
 0.51–0.75 1.10 (0.89–1.35) 0.371
 0.76–1.00 1.18 (0.97–1.44) 0.100
 > 1.00 1.35 (1.10–1.66) 0.003

* Covariates in model A were adjusted for sex and age;

** Covariates in model B were adjusted only for covariates from model A with p-value < 0.1, sex and age;

*** Covariates in model C were adjusted for covariates from model A and B with p-value < 0.1, sex and age.