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Table 3 Multivariate Multilevel Models for Recent Mammography by Individual and County Level Characteristics

From: Healthcare access and mammography screening in Michigan: a multilevel cross-sectional study

Characteristic

Model 1: Demographics a

Model 2: + Countyb

Race

  

   White

0.63 (0.34-1.16)

0.64 (0.32-1.28)

   Black (Ref.)

-

-

Age

  

   50-60

1.16 (0.71-1.91)

1.12 (0.68-1.85)

   61-74 (Ref.)

-

-

Income

  

   < 35,000

0.33 (0.14-0.76)**

0.32 (0.14-0.74)**

   35,000-74,999

0.47 (0.21-1.05)

0.46 (0.21-1.03)

   > 75,000 (Ref.)

-

-

Employment

  

   Unemployed

0.85 (0.46-1.56)

0.90 (0.48-1.67)

   Retired/Unable

1.15 (0.66-2.00)

1.13 (0.65-1.99)

   Employed (Ref.)

-

-

Education

  

   Less than High School

2.19 (1.21-3.96)**

2.05 (1.12-3.75)*

   Some College

1.49 (0.85-2.60)

1.45 (0.82-2.56)

   College plus

-

-

Marital Status

  

   Single

0.50 (0.25-1.02)

0.51 (0.25-1.03)

   Divorced/Separated

0.74 (0.43-1.27)

0.75 (0.43-1.31)

   Widowed

1.24 (0.62-2.48)

1.22 (0.60-2.44)

   Married (Ref.)

-

-

Usual Source of Care

  

   No

0.46 (0.21-0.99)*

0.46 (0.21-1.02)

   Yes (Ref.)

-

-

Usual Healthcare Provider

  

   No

0.32 (0.15-0.69)**

0.33 (0.15-0.71)**

   Yes (Ref.)

-

-

Health Insurance Status

  

   No

0.27 (0.14-0.54)**

0.26 (0.13-0.52)**

   Yes (Ref.)

-

-

Facilities c

  

   Low

 

1.55 (0.76-3.14)

   High (Ref.)

 

-

Personnel c

  

   Low

 

1.16 (0.48-2.80)

   High (Ref.)

 

-

Concentrated Affluence d

  

   Low

 

2.23 (0.89-5.56)

   High (Ref.)

 

-

Concentrated Disadvantage e

  

   Low

 

1.26 (0.55-2.87)

   High (Ref.)

 

-

Concentrated Immigration f

  

   Low

 

0.82 (0.32-2.14)

   High (Ref.)

 

-

Percent black g

  

   < 6%

 

0.88 (0.37-2.09)

   > = 6% (Ref.)

 

-

  1. aModel adjusting for individual demographic variables only
  2. bModel adjusting for county level variables including healthcare access and SES in addition to individual demographic variables
  3. cPersonnel and Facilities, two measures of health care access were defined using principal components analysis on the count per 10,000 population of several variables by county: hospitals, mammography facilities, MDs, DOs and nurse practitioners
  4. dConcentrated affluence was based on PCA of county level proportion of individuals making over $100,000, proportion over 25 years with a college degree and the proportion of white collar workers
  5. eConcentrated disadvantage was based on PCA of county level proportion of persons in poverty, proportion of families with a female-headed household, proportion of households that are food stamp recipients, and proportion of unemployed
  6. fConcentrated immigration was based on PCA of the proportion of foreign born individuals and the proportion of non-English speaking individuals
  7. *P < 0.05, **p < 0.01, ***p < 0.001; Ref, reference group