A B S T R A C T ObjectiveTo analyze the prevalence and factors associated with breakfast skipping among adolescents. MethodsCross-sectional study, with adolescents aged 10-17 years, evaluated between 2009 and 2011, belonging to a cohort study in the Central-West region of Brazil. Breakfast skipping was considered as not having breakfast every day. Demographic, socioeconomic, and lifestyle factors were evaluated through a questionnaire. Anthropometric assessment included measurement of weight and height, which were used to classify weight status using body mass index. Poisson regression was used to assess the association of breakfast skipping with demographic and socioeconomic variables, lifestyle factors, and weight status. ResultsAmong 1,716 Brazilian adolescents evaluated, 36.2% reported not consuming breakfast every day, with the highest prevalence among girls (p=0.03). After adjusting for age and economic class, breakfast skipping was associated with not consuming breakfast with parents and morning shift at school, in both genders, and with obesity only in boys. Lifestyle factors such as alcohol consumption, physical activity, diet quality, and smoking were not associated with skipping breakfast. Revista de NutriçãoRev. Nutri., Campinas, 30(5):615-626, set./out
ResumenIntroducción/objetivo: la participación simultánea en los comportamientos de riesgo para las enfermedades no transmisibles (ENT) podría ejercer un efecto sinérgico sobre la salud de los adolescentes. El propósito del estudio fue identifi car patrones de comportamiento de riesgo para las ENT en adolescentes y analizar factores asociados. Métodos: se realizó un estudio transversal entre 2009-2011, con 1.716 participantes de entre 10 y 17 años, de un estudio de cohorte en la Región Centro-Oeste, Brasil. Se recogieron las características demográfi cas, económicas, antropométricas y de estilo de vida. Los comportamientos de riesgo evaluados fueron el consumo de alcohol, la experimentación con el tabaco, la actividad física insufi ciente, el comportamiento sedentario, omitir el desayuno y la baja calidad de la dieta. El análisis de componentes principales se utilizó para identifi car patrones de comportamientos de riesgo y el análisis de regresión lineal múltiple para cuantifi car la asociación entre las variables independientes y los patrones de comportamiento de riesgo. Resultados: Se identifi caron tres patrones de comportamientos de riesgo: "drogas legales", "dieta y pantallas" y "omisión". Después del ajuste, el patrón de drogas legales mostró asociación directa con la edad (β = 0,13; IC del 95% = 0,09; 0,16) e inverso con la educación materna (β = -0,07; IC del 95% = -0,14; -0,01). El patrón de dieta y pantallas se asoció directamente con el sexo femenino (β = 0,14; IC del 95% = 0,04; 0,23), la edad (β = 0,11; IC del 95% = 0,08; 0,14) y la clase económica (β = 0,15; IC del 95% = 0,04; 0,25). El patrón de omisión se relacionó directamente con la educación materna (β = 0,09; IC del 95% = 0,03; 0,15), el sobrepeso (β = 0,17; IC del 95% = 0,06; 0,28) y el sexo femenino (β = 0,32; IC del 95% = 0,22; 0,41). Conclusiones: se identifi caron tres patrones de comportamiento de riesgo y los factores asociados fueron el nivel socioeconómico, la edad y el sexo femenino. AbstractBackground/objective: Simultaneous engagement in risk behaviors for chronic non-communicable diseases (NCDs) might exert a synergistic effect on adolescent health. This study aimed to identify risk behavior patterns for NCDs in adolescents and analyze associated factors. Methods: Cross-sectional study conducted between 2009 and 2011, with 1,716 participants aged 10-17 years of a cohort study in Central-West Region, Brazil. Demographic, economic, anthropometric, and lifestyle characteristics were collected. Risk behaviors evaluated were alcohol consumption, tobacco experimentation, insuffi cient physical activity, sedentary behavior, skipping breakfast, and low diet quality. Principal component analysis was used to identify patterns of risk behaviors and multiple linear regression analysis to quantify the association between independent variables and patterns of risk behavior. Results: Three patterns of risk behaviors were identifi ed: "legal drugs", "diet and screens", and "silent". After adjustment, legal drugs pattern showed direct associatio...
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