Shimizu M, Wansink B. Watching food-related television increases caloric intake in restrained eaters.
Epidemiologic studies have begun to show links between adiposity and behaviors such as television watching, alcohol intake, and sleep deprivation.
Similarly, some studies have found a lack of stimulatory impact for both alcohol and television on food intake (19– 219.
Conclusions: Our results suggest that television watching, alcohol intake, and sleep deprivation are not merely correlated with obesity but likely contribute to it by encouraging excessive eating.
Notably, studies have shown that viewing food-related advertisements on television increases food intake in children (14, 15), and childhood overweight has been linked to advertising of energy-dense foods (16).
Next we added demographic and exposure characteristics (race/ethnicity, age, caregiver education, poverty income ratio, sex, serum cotinine) (model B), and then lifestyle characteristics (measures of caloric intake, television watching) (model C).
†Data adjusted for age, source of genotyping data, physical activity, television watching, smoking, alcohol intake, sugar sweetened beverage intake, alternative healthy eating index, and total energy intake.
†Data derived from repeated measures analysis for women in Nurses Health Studyy (four measures during 1984-98) and in Health Professionals Follow-Up Sthree(three measures during 1986-98), adjusted for age, source of genotyping data, physical activity, television watching, smoking, alcohol intake, sugar sweetened beverage intake, alternative healthy eating index, and total energy intake.
Unadjusted analyses indicated that students enrolled in 2-year colleges, particularly females, had a higher prevalence of overweight/obesity, lower levels of physical activity, more television viewing, higher intakes of soda, fast food, and diet pills compared to students attending 4-year colleges (P < 0.05).
We controlled for the following a priori confounders of the association between PAHs and BMI z-score and obesity: age, race/ethnicity, sex, urinary creatinine, poverty:income ratio (PIR), serum cotinine, serum C-reactive protein (CRP), calorie intake, and television, video game, and computer use.
