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Table 2 Models to estimate mammography participation according to the geographic accessibility of services adjusted on covariates

From: Role of mammography accessibility, deprivation and spatial effect in breast cancer screening participation in France: an observational ecological study

 

SLM1

SLM2

SLM 3

 

β-coefficient (95%CI)

β-coefficient (95%CI)

β-coefficient (95%CI)

Travel distance continuous (in km)

− 0.49 (− 1.00, 0.01)†

− 0.51 (− 1.01, 0.00)*

− 0.42 (− 0.94, 0.10)

Density of GPs

− 0.12 (− 0.56, 0.32)

− 0.11 (− 0.54, 0.31)

− 0.13 (− 0.55, 0.30)

Degree of urbanization

   

 Rural

Ref.

Ref.

Ref.

 Urban

− 4.58 (− 6.08, − 3.08)**

− 1.42 (− 3.94, 1.10)

− 1.32 (− 3.84, 1.20)

 Peri-urban

− 1.66 (− 3.11, − 0.21)*

− 0.31 (− 2.01, 1.39)

− 0.42 (− 2.12, 1.29)

Deprivation level

− 2.81 (− 3.39, − 2.24)**

− 3.19 (− 3.79, − 2.60)**

− 2.98 (− 3.86, − 2.07)**

Interaction terms

   

 Rural and deprivation

  

Ref.

 Urban and deprivation

  

− 1.62 (− 3.18, − 0.07)*a

 Peri-urban and deprivation

  

− 0.64 (− 2.09, 0.81)

Modes of travel

   

 % of the population traveling by car

 

0.13 (0.07, 0.19)**

0.13 (0.07, 0.19)**

 % of the population with no transportation access

 

− 0.24 (− 0.45, − 0.03)*

− 0.24 (− 0.45, − 0.03)*

Social cohesion

   

 % of the married population

 

− 0.11 (− 0.19, − 0.05)**

− 0.10 (− 0.17, − 0.02)*

 % of the population living alone in a household

 

− 0.05 (− 0.14, 0.04)

− 0.04 (− 0.13, 0.05)

Moran’s I

− 0.04

− 0.04

− 0.04

 R2

0.40

0.44

0.44

 AIC

3134

3103

3102

Spatial lag coefficients

    

 Participation lag (ρ)

0.46 (0.34, 0.59)**

0.38 (0.24, 0.51)**

0.41 (0.27, 0.54)**

  1. AIC Aikake’s Information Criterion, CI confidence interval, GP general practitioner, km kilometer
  2. aThe total effect takes into account the main effect of deprivation and the effect of interaction term urban & deprivation compare to rural CBs. For instance, in SLM3 − 2.98 + (− 1.62) = 4.60
  3. **(p < 0.01), *(p < 0.05), †(p < 0.10)