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Table 1 Demographic characteristics of study participants

From: From TVs to tablets: the relation between device-specific screen time and health-related behaviors and characteristics

 

All participants

(N = 926)

Light users

(n = 296)

Moderate users

(n = 311)

Heavy users

(n = 319)

Total screen time (minutes per day)*

690 (480–916.25)

420 (328.50–480)

675 (615–750)

1050 (900–1290)

Age*

34 (28–45)

34 (28–45)

35.5 (28–49)

32 (27–41.25)

Sex

 Male

44.9

42

45.8

46.5

 Female

55.1

58

54.2

53.5

Race/ethnicity*

 Non-Hispanic White

72.7

78.2

76.8

63.7

 Hispanic

7.7

7.1

7.7

8.2

 African-American

8.6

4.8

6.5

14.2

 Asian or Pacific Islander

8.4

7.8

6.5

10.7

 Native American

2.6

2.0

2.6

3.2

Employment

 Full-time (≥ 35 h/wk)

63.5

60.0

61.9

68.2

 Part-time (<  35 h/wk)

17.0

16.6

18.7

15.7

 Not currently employed/retired

19.5

23.4

19.4

16.0

Income

 Less than 30,000

21.8

17.6

20.6

26.7

 30,000 – 59,999

42.1

45.8

41.6

39.3

 More than 59,999

36.1

36.6

37.7

34.0

Education

 Less than high school

0.5

0.3

0.3

0.9

 High school/ GED/some college

36.4

35.9

37.2

36.0

 Associate’s degree

12.1

12.5

12.3

11.4

 Bachelor’s degree

37.4

34.2

38.2

39.4

 Graduate or professional degree

13.7

16.9

12.0

12.3

Marital status

 Single (never married)

31.3

27.8

31.1

34.7

 Married or in a committed relationship

60.5

66.1

60.2

55.5

 Separated or divorced

6.4

4.4

6.8

7.9

 Widowed

1.8

1.7

1.9

1.9

  1. Note. Descriptive statistics are presented as medians and interquartile ranges for continuous variables and as proportions for categorical variables. Categories shown were created based on total screen time; light users ≤33.33th percentile, moderate users > 33.33th, 66.66th < percentiles, and heavy users ≥66.66th percentile. *Groups significantly different at alpha < 0.05