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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