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Table 3 Bivariate Analysis of Cluster Membership by Demographic Characteristics

From: Segmentation of overweight Americans and opportunities for social marketing

VARIABLE/
CLUSTER
CLUSTER 1:
"Highest Risk"
CLUSTER 2:
"At Risk"
CLUSTER 3:
"Right Behavior/
Wrong Results"
CLUSTER 4:
"Getting Best
Results"
CLUSTER 5:
"Doing OK"
P valuea
Gender(% female) 53.0 45.6 59.8 72.2 62.1 0.008 **
Education(%)       0.000 ***
Less than high school 0.0 3.7 0.0 0.0 0.0  
High school grad 2.4 11.0 3.6 11.1 5.3  
Some college 54.8 58.1 56.5 31.5 49.1  
Bachelors or more 42.9 27.2 39.9 57.4 45.6  
Income(%)       0.000 ***
Less than $20,000 17.3 20.2 5.6 7.1 14.5  
$20,001 to $35,000 10.7 21.1 16.0 11.9 32.7  
$35,001 to $50,000 16.0 18.4 9.0 14.3 16.4  
$50,001 to $65,000 16.0 18.4 17.4 9.5 9.1  
$65,001 or greater 40.0 21.9 52.1 57.1 27.3  
Children(% has children) 37.3 45.3 48.2 45.5 32.8 0.216
Employment(%)       
Employed 53.0 46.0 43.5 58.2 79.3 0.000 ***
Unemployed 2.4 3.7 0.6 3.6 3.4 0.417
Retired 27.7 13.2 13.6 23.6 19.0 0.027 *
Age range(%)       0.000 ***
16–24 0.0 19.0 9.5 12.7 10.2  
25–34 15.7 23.4 17.9 16.4 30.5  
35–44 19.3 23.4 27.4 16.4 10.2  
45–54 26.5 12.4 21.4 16.4 18.6  
55–64 12.0 8.8 11.9 12.7 11.9  
65 or more 26.5 13.1 11.9 25.5 18.6  
Region(%)       0.001 ***
Northern 27.7 28.7 30.2 31.5 19  
South 19.3 27.2 23.1 29.6 46.6  
Middle America 16.9 27.9 30.2 20.4 22.4  
West 36.1 16.2 16.6 18.5 12.1  
Urban characteristic(%)       0.163
Rural 30.1 26.3 33.9 23.6 38.6  
Suburban 43.4 41.4 45.8 54.5 45.6  
Urban 26.5 32.3 20.2 21.8 15.8  
  1. a Chi2 statistic; Overall n = 581
  2. * P < 0.05
  3. ** P < 0.01
  4. *** P < 0.001