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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