Missing class increases the daily frequency of screen use among schoolchildren / Faltar à aula eleva a frequência diária de uso de telas entre estudantes

We analyzed the association between school attendance and the daily frequency of use of different forms of screens (TV, computer, cell phone and video game) among children and adolescents. Lon-gitudinal study with four repeated measures during the 2015 school year. Children and adolescents from a public school participated in the study (n = 463, 53.6% boys; 9.3 ± 1.3 years old). The daily frequency of screen use was the outcome analyzed, which was reported on an online questionnaire for the previous-day recall, illustrated with 32 icons of activities including 4 types of electronic de-vices. The participant answered "What did you do yesterday?" in the morning, afternoon, and night. School attendance was assessed by responding to the item "Did you go to school yesterday?". The analysis was conducted using generalized estimation equations, with adjustment by sex, age, BMI z-scores, and season of the year. The average percentage of absences during the follow-up was 28.7%. The use of screens was 13% higher among students who missed class. Playing a video game was 37% higher among students who missed class. The daily frequency of screen use was 26% higher among adolescents (10-12 years) compared to children (7-9 years), especially in the analysis performed indi-vidually for TV and cell phone. The daily frequency of screen use and watching TV among students who missed classes during the winter was, respectively, 24% (IRR = 1.24; 95%CI = 1.11 - 1.39) and 35% (IRR = 1.35; 95%CI = 1.10 - 1.66) higher compared to those who missed classes during the fall. In conclusion, the use of screens predominated among students who missed class, mainly in winter

Nós analisamos a associação longitudinal entre presença na escola e frequência diária de uso de diferentes tipos de telas (TV, celular, computador e videogame). O follow-up incluiu quatro medidas repetidas durante o ano letivo de 2015. Participaram do estudo crianças e adolescentes de escola pública (n = 463; 53,6% meninos; 9,3 ± 1,3 anos). O uso de telas foi o desfecho analisado, relatado em um questionário online para a recordação do dia anterior, ilustrado com 32 ícones de atividades, incluindo 4 tipos de dispositivos eletrônicos. O participante respondeu "O que você fez ontem?" pela manhã, tarde e noite. A frequência escolar foi avaliada por meio do item "Você veio à escola ontem?". A análise foi conduzida via equações de estimativa generalizada, com ajuste por sexo, idade, estação do ano e escore-z de IMC. O percentual médio de faltas no período foi de 28,7%. De maneira geral, o uso de telas foi 13% mais frequente entre estudantes que faltaram à aula, com destaque para vídeogame, cuja frequência diária foi 37% maior. Adolescentes (10-12 anos) exibiram frequência diária de telas 26% maior quando comparados com as crianças (7-9 anos), especialmente de TV (36%) e celular (32%). A frequência diária de uso de telas e de assistir TV entre os alunos que faltaram às aulas no inverno foi, respectivamente, 24% (IRR = 1,24; IC95% = 1,11 - 1,39) e 35% (IRR = 1,35; IC95% = 1,10 - 1,66) maior em relação aos que faltaram às aulas no outono. Concluímos que o uso de telas predominou entre estudantes que faltaram à aula, sobretudo no período do inverno

Differences in Cigarette Use Behaviors by Age at the Time of Diagnosis With Diabetes From Young Adulthood to Adulthood: Results From the National Longitudinal Study of Adolescent Health / 예방의학회지

OBJECTIVES: Previous observations propose that risk-taking behaviors such as cigarette smoking are prevailing among young people with chronic conditions including diabetes. The purpose of this study was to examine whether cigarette smoking is more prevalent among diabetics than non-diabetics and whether it differs by age at the time of diagnosis with diabetes from young adulthood (YAH) to adulthood (AH). METHODS: We used US panel data from the National Longitudinal Study of Adolescent Health (Add Health Study) during the years 2001 to 2002 (Wave III, YAH) and 2007 to 2008 (Wave IV, AH). Multivariate logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of cigarette use behaviors according to age at the time of diagnosis with diabetes, after adjusting for demographic and selected behavioral factors. RESULTS: Of 12 175 study participants, 2.6% reported having been diagnosed with diabetes up to AH. Early-onset diabetics (age at diagnosis or =20 days during the previous 30 days) in YAH (OR, 3.34; 95% CI, 1.27 to 8.79). On the other hand, late-onset diabetics (age at diagnosis > or =13 years) were more likely than non-diabetics to report heavy cigarette smoking (smoking > or =10 cigarettes per day during the previous 30 days) in AH (OR, 1.54; 95% CI, 1.03 to 2.30). CONCLUSIONS: The current study indicated that diabetics are more likely than non-diabetics to smoke cigarettes frequently and heavily in YAH and AH. Effective smoking prevention and cessation programs uniquely focused on diabetics need to be designed and implemented.