FACTORS ASSOCIATED WITH THE PREVALENCE OF TIME IN FRONT OF TV BETWEEN BRAZILIAN SCHOOLERS (2012 AND 2015)
Author(s)
Margarido OT, Machado FF, Costa CK, Cunha MS
UNIVERSIDADE ESTADUAL DE MARINGÁ, MARINGÁ, Brazil
Presentation Documents
OBJECTIVES:: To associate the prevalence of daily time of adolescents in front of TV (more than 2 hours) with regular consumption of unhealthy foods (salty fried, industrialized, sweets and soda), socioeconomic, demographic, administrative dependence variables (sex, race, age, income index, private or public school) and family composition (place of residence and schooling of the mother). METHODS:: Analytical and transversal study developed from the PeNSE 2012 and 2015 surveys, using the logit econometric model. The Log-Likelihood Ratio (LR) test was used to verify if there is any difference between estimates for men and women. The test result confirmed that there were differences between the estimates, which allowed the analysis to be performed separately. To facilitate the interpretation of the estimated values, odds ratio (OR) was used. RESULTS:: Considering the three estimated models (overall with both sexes, men and women), the consumption of unhealthy foods increases the probability of watching more than two hours daily of TV. Having white skin color decreases that likelihood and black and brown skin color increases. In addition, the younger (<= 13 years) the adolescent is, the greater the likelihood. Adolescents with higher assets and private schools reduce this probability. Those who reside with only one parent and have mothers with a lower level of education, increase the likelihood. For both years, the results were similar. CONCLUSIONS:: It was found that adolescents have unhealthy habits, both in terms of time watching television and the food aspect.
Conference/Value in Health Info
2017-09, ISPOR Latin America 2017, Sao Paulo, Brazil
Value in Health, Vol. 20, No. 9 (October 2017)
Code
PRM8
Topic
Economic Evaluation
Topic Subcategory
Cost/Cost of Illness/Resource Use Studies
Disease
Multiple Diseases