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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: J Adolesc Health. 2016 Mar 23;59(1):17–23. doi: 10.1016/j.jadohealth.2016.02.003

Table 2.

Characteristics of high school students and associations between characteristics and regular soda consumption — 12 large urban school districts, Youth Risk Behavior Surveillance System, 2013a

Characteristic Overall respondents (%)b By regular soda consumption

≥1 time/day (%)c <1 time/day (%)c p valued
Observations 25,241 (100) 4,472 (18.4) 20,679 (81.6)
Sex (n = 25,241) <.001
  Female 13,315 (50.0) 2,184 (20.0) 11,131 (80.0)
  Male 11,926 (50.0) 2,288 (16.7) 9,638 (83.3)
Grade (n = 25,241) <.01
  9 6,659 (27.8) 1,316 (20.5) 5,343 (79.5)
  10 6,527 (26.4) 1,173 (17.9) 5,354 (82.1)
  11 6,179 (23.1) 1,006 (17.6) 5,173 (82.4)
  12 5,876 (22.7) 997 (17.1) 4,899 (82.9)
Race/ethnicity (n = 25,241) <.001
  White, non-Hispanic 4,060 (14.4) 531 (14.3) 3,529 (85.7)
  Black, non-Hispanic 6,139 (26.8) 1,426 (22.2) 4,713 (77.8)
  Hispanic 9,791 (46.8) 1,878 (19.1) 7,913 (80.8)
  Asian, non-Hispanic 2,980 (9.1) 238 (9.5) 2,742 (90.5)
  Other, non-Hispanic 1,551 (2.9) 259 (18.6) 1,292 (81.4)
Weight status (n = 25,241) <.01
  Underweight 853 (3.3) 166 (19.3) 687 (80.7)
  Normal weight 15,958 (62.3) 2,698 (17.8) 13,260 (82.2)
  Overweight 3,544 (14.4) 680 (18.2) 2,914 (81.8)
  Obese 4,886 (20.0) 978 (20.2) 3,908 (79.8)
Participate in at least 60 minutes of physical activity per day (n = 24,373) .12
  Yes 9,379 (39.5) 2,590 (19.0) 7,691 (81.0)
  No 14,994 (60.6) 1,688 (17.8) 12,404 (82.2)
Watch 3 or more hours of TV per day (n = 24,308) <.001
  Yes 7,750 (33.2) 2,250 (26.3) 5,735 (73.7)
  No 16,558 (66.8) 2,015 (14.3) 14,308 (85.7)
Use computers 3 or more hours per day (n = 24,187) <.001
  Yes 9,615 (40.3) 2,140 (22.5) 7,512 (77.5)
  No 14,572 (59.7) 2,103 (15.4) 12,432 (84.6)
a

Unweighted sample sizes and weighted percentages are presented. Weighted percentages may not total 100 due to rounding.

b

Column percentages are presented.

c

Row percentages are presented.

d

Chi-square tests were used for each variable to examine differences across categories.