Skip to main content

Table 4 Results of assessment of univariate (simple) associations between campylobacteriosis risk and selected socioeconomic factors

From: Socioeconomic determinants of geographic disparities in campylobacteriosis risk: a comparison of global and local modeling approaches

Category

Variable (proportion of census tract population)

Estimate (95% Confidence Interval)

SE1

P-value

AIC2

Race & Nationality

Black or African American

−0.0133 (−0.0158,-0.0108)

0.0013

0.0001

5972

 

White

0.0127 (0.0103, 0.0152)

0.0012

0.0001

5977

 

Asian

0.0265 (−0.0143, 0.0672)

0.0204

0.2037

6072

 

Hispanic/Latino

−0.0065 (−0.0278, 0.0148)

0.0109

0.5499

6074

 

American Indian/Alaskan

0.3575 (−0.0490, 0.7641)

0.2074

0.0843

6071

Employment

Unemployed

−0.0902 (−0.1170,-0.0634)

0.0137

0.0001

6030

 

Service occupation

−0.0291 (−0.0403,-0.0178)

0.0058

0.0001

6049

 

Agriculture: forestry, fishing, hunting & mining

0.0585 (0.0317, 0.0854)

0.0137

0.0001

6055

 

Farming Industry

0.0278 (0.0367,-0.0442)

0.0999

0.4485

6074

 

Disability (age 21–64)

−0.0169 (−0.0253,-0.0086)

0.0043

0.0001

6058

 

Armed forces

−0.0462 (−0.0779,-0.0144)

0.0162

0.0043

6065

Education

No High school diploma

−0.0097 (−0.0188,-0.0006)

0.0046

0.0373

6070

 

Bachelor degree

0.0122 (0.0049, 0.0195)

0.0037

0.0011

6069

 

Graduate/Professional Degree

0.0159 (0.0054, 0.0265)

0.0054

0.0031

6070

Marital status

Never married

−0.0134 (−0.0193, -0.007)

0.0030

0.0001

6055

 

Separated

−0.1560 (−0.1909, -0.1211)

0.0178

0.0001

6000

 

Divorced

−0.0390 (−0.0570, -0.020)

0.0092

0.0001

6056

 

Widow

−0.0559 (−0.0776, -0.0342)

0.0111

0.0001

6049

Poverty, Public Assistance & Urbanicity

Below poverty level

−0.0198 (−0.0264,-0.0132)

0.0034

0.0001

6041

 

Receives public assistance

−0.0458 (−0.0627,-0.0289)

0.0086

0.0001

6047

 

Urban

−0.2573 (−0.4133,-0.1013)

0.0796

0.0012

6064

 

Rural

0.2573 (0.1013, 0.4134)

0.0796

0.0012

6064

  1. 1 Standard Error.
  2. 2Akaike’s Information Criterion.