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. Author manuscript; available in PMC: 2014 Dec 27.
Published in final edited form as: Obes Rev. 2012 Sep 10;13(12):1139–1147. doi: 10.1111/j.1467-789X.2012.01028.x

Table 2. Summary of studies of TV viewing and diet in young children.

Study Design Child participants Assessment of child TV Child diet assessment Key findings Modeling of TV exposure
Ariza et al., 2004 (42) Cross-sectional 250 overweight Hispanic children, ages 5-6 Parent-reported TV time in minutes Parent reported frequency of consumption of select foods No significant relationships between diet and TV identified, although this was not the primary focus of the analysis Average daily use in hours (binary); >3h/d or ≤3h/d
Brown et al., 2010 (51) Cross-sectional, prospective 4,983 children ages 4-7 Parent-reported TV time in minutes Parent reported consumption of select foods using 24-h dietary recall. In cross-sectional analysis, TV weakly correlated with snacking in separate models using children ages 4-5 (β = 0.073, P<0.001), and 6-7 (β = 0.070, P<0.001). In prospective analysis, TV exposure at ages 4-5 weakly correlated with snacking at ages 6-7 (β = 0.060, P<0.001). Average daily use in hours (continuous)
Campbell et al., 2006 (43) Cross-sectional 560 children ages 5-6 Parent-reported TV time in minutes Parent-reported frequency of select foods using food frequency questionnaire. TV viewing (minutes per day × 10) associated with higher energy intake (β = 81.9), greater sweet snack (β = 0.2) and high-energy drink consumption (β = 0.4), and lower vegetable intake (β = 0.2). Average daily use in minutes (continuous)
Dubois et al., 2008 (44) Cross-sectional 1,549 children ages 4-5 Parent-reported TV time in minutes. Parent reported consumption using 24-h dietary recall. TV viewing (≥3 h/d) associated with eating meals and snacks while watching television (d = 0.0446), lower daily consumption of fruits and vegetables (d = 0.0594). TV did not increase the odds of drinking soft drinks every day. Average daily use in hours (binary) ≥3h/d or <3h/d
Gubbels et al., 2009 (45) Cross-sectional 2,578 children age 2 Parent-reported TV time in minutes Parent-reported frequency of consumption of select foods. TV viewing inversely correlated with intake of fresh fruit (r = -0.22, P≤0.01), and vegetables (r = -0.15, P≤0.01), and positively correlated with intake of sugar-sweetened drinks (r = 0.16, P≤0.01) and snacks (r = 0.22, P≤0.01). Average daily use in hours (continuous)
Manios et al., 2009 (49) Cross-sectional 2,374 Greek children ages 1-5 Parent-reported TV time in minutes Parent-reported consumption using 24-h dietary recall, food diary and weighing. TV associated with higher total energy intake (β = 46.5, P=0.008). Average daily use in hours (binary); ≥2h/d or <2h/d
Miller et al., 2008 (46) Cross-sectional 1,203 children age 3 Parent-reported TV time in minutes Parent-reported consumption using food frequency questionnaire. TV viewing positively associated with intakes of SSB (β = 0.09), fruit juice (β = 0.11), whole or 2% milk (β = 0.08), fast food (β = 0.49), snack food (β = 0.12), red and processed meats (β = 0.08), total daily energy intake (β = 41.1), and percent energy intake from total fat (β = 0.39), trans fat (β = 0.05), and polyunsaturated fats (β = 0.11). TV viewing was inversely associated with intakes of fruit and vegetables (β = -0.17), skim or 1% milk (β = -0.11), calcium (β = -37.9), dietary fiber (β = -0.44), and percent of total energy intake from protein β = -0.23). Average daily use in hours (categorical); 0-1/2h/d, >1/2-<2h/d, 2h/d, >2h/d
Nelson et. al, 2006 (53) Cross-sectional 526 children ages 2- 4 Parent-reported TV time in minutes Parent-reported frequency of consumption of select foods using adapted NHANES questionnaire. TV positively associated with intake of “nonjuice fruit drinks” (d = 0.2741). Average daily use in hours (binary); ≤2h/d or >2h/d
Proctor et al., 2003 (50) Prospective cohort 106 children ages 4 (at enrollment) to 11 (at last follow-up) Parent-reported TV + video game time in minutes. Parent-reported consumption using food diary. TV associated with higher energy intake at baseline (d = -1.0901). Average daily use in hours (categorical, tertiles); low (1.1 ± 0. h/d), medium (1.6 ± 0.7h/d), and high (2.4 ± 1.6h/d)
Sasaki et al., 2010 (47) Cross-sectional 449 children ages 2 to 6 Parent-reported TV + video game time in minutes. Parent-reported, methodology unclear. TV positively associated with snacking frequency (OR = 2.71, P<0.01), and negatively associated with daily consumption of breakfast (OR = 0.29, P<0.01). Average daily use in hours (binary); <2h/d or ≥2h/d
Taveras et al., 2006 (54) Cross-sectional 240 children ages 2 to 5 Parent-reported TV + computer time in minutes. Parent-reported frequency of consumption of select foods. TV viewing (each hour) associated with greater consumption of fast food (OR = 1.60, 95% CI = 1.03, 2.49). Average daily use in hours (continuous)
Tremblay et al., 2010 (48) Cross-sectional 1,192 children aged 4 Parent-reported TV time in minutes. Parent-reported child frequency of fruits and vegetables TV inversely associated intake of vegetables (r = -0.123, P<0.01) in boys only. Average daily use in hours (continuous)