Abstract:Índice de massa corporal para predizer hiperglicemia e alterações lipídicas em adolescentes brasileiros ABSTRACT OBJECTIVE: To determine the best cut-offs of body mass index for identifying alterations of blood lipids and glucose in adolescents.
METHODS:A probabilistic sample including 577 adolescent students aged 12-19 years in 2003 (210 males and 367 females) from state public schools in the city of Niterói, Southeastern Brazil, was studied. The Receiver Operating Characteristic curve was used to identify th… Show more
“…Schools were selected by convenience from the 13 schools that participated in the study on prevalence of overweight and obesity and cardiovascular risk factors in adolescents of public schools of Niterói conducted in 2003, 22,23 according to the following criteria: geographic location (schools should be distant from each other to reduce the possibility of exchange of information about intervention activities); similar number of students in the selected grades; presence of a cafeteria in the school; teachers and managers' interest in participating in the program; and similar frequency of overweight/obesity, based on the frequencies observed in a previous study and confi rmed in the two selected schools, before beginning this study. The school receiving the prevention program was randomly selected.…”
Section: Methodsmentioning
confidence: 99%
“…22 These data warned about the need for strategies that prevent the progression of this problem and also stimulate testing other approaches that may help to curb the obesity epidemic. Thus, the present study aimed to evaluate the effects of an obesity prevention program on the dietary practices of public school adolescents.…”
OBJECTIVE:To evaluate the effects of an obesity prevention program on the dietary practices of public school adolescents.
METHODS:An intervention was conducted with 331 students aged between 11 and 17 years, enrolled in the 5th and 6th grades of two state public schools in the city of Niterói, Southeastern Brazil, in 2005. These schools were categorized into "intervention schools" (IS) and "control schools" (CS) for comparison. Dietary practices were analyzed using self-administered questionnaires before and after the intervention period: fast food consumption; soft drink consumption; replacement of meals for snacks; consumption of fruits and vegetables; and type of food consumed during school breaks. Chi-square test and McNemar's test were applied to compare proportions, considering a value of p <0.05.
RESULTS:In the baseline, 185 students participated in the IS (82.2% of those eligible) and 146 students participated in the CS (70.5% of those eligible). In the post-intervention phase, there was a loss of 10.3% of IS adolescents and 27.4% of CS ones. There were no signifi cant changes in dietary practices in CS. In contrast, IS showed an increase in the proportion of students who reported not consuming snacks sold by street vendors (from 36.7% to 50.6%; p=0.02) and adolescents who reported not replacing their lunch (from 44.5% to 65.2%; p<0.01) and dinner (from 38.4% to 54.3%; p<0.01) for snacks. The main favorable change was the reduction in the frequency of consumption of fast food snacks in IS, when compared to CS (from 72.7% to 54.4%; p=0.001).CONCLUSIONS: Favorable changes in the adolescents' dietary practices were found and they encourage the implementation of programs of this nature. However, long-lasting interventions need to be implemented and evaluated in terms of their effectiveness.
“…Schools were selected by convenience from the 13 schools that participated in the study on prevalence of overweight and obesity and cardiovascular risk factors in adolescents of public schools of Niterói conducted in 2003, 22,23 according to the following criteria: geographic location (schools should be distant from each other to reduce the possibility of exchange of information about intervention activities); similar number of students in the selected grades; presence of a cafeteria in the school; teachers and managers' interest in participating in the program; and similar frequency of overweight/obesity, based on the frequencies observed in a previous study and confi rmed in the two selected schools, before beginning this study. The school receiving the prevention program was randomly selected.…”
Section: Methodsmentioning
confidence: 99%
“…22 These data warned about the need for strategies that prevent the progression of this problem and also stimulate testing other approaches that may help to curb the obesity epidemic. Thus, the present study aimed to evaluate the effects of an obesity prevention program on the dietary practices of public school adolescents.…”
OBJECTIVE:To evaluate the effects of an obesity prevention program on the dietary practices of public school adolescents.
METHODS:An intervention was conducted with 331 students aged between 11 and 17 years, enrolled in the 5th and 6th grades of two state public schools in the city of Niterói, Southeastern Brazil, in 2005. These schools were categorized into "intervention schools" (IS) and "control schools" (CS) for comparison. Dietary practices were analyzed using self-administered questionnaires before and after the intervention period: fast food consumption; soft drink consumption; replacement of meals for snacks; consumption of fruits and vegetables; and type of food consumed during school breaks. Chi-square test and McNemar's test were applied to compare proportions, considering a value of p <0.05.
RESULTS:In the baseline, 185 students participated in the IS (82.2% of those eligible) and 146 students participated in the CS (70.5% of those eligible). In the post-intervention phase, there was a loss of 10.3% of IS adolescents and 27.4% of CS ones. There were no signifi cant changes in dietary practices in CS. In contrast, IS showed an increase in the proportion of students who reported not consuming snacks sold by street vendors (from 36.7% to 50.6%; p=0.02) and adolescents who reported not replacing their lunch (from 44.5% to 65.2%; p<0.01) and dinner (from 38.4% to 54.3%; p<0.01) for snacks. The main favorable change was the reduction in the frequency of consumption of fast food snacks in IS, when compared to CS (from 72.7% to 54.4%; p=0.001).CONCLUSIONS: Favorable changes in the adolescents' dietary practices were found and they encourage the implementation of programs of this nature. However, long-lasting interventions need to be implemented and evaluated in terms of their effectiveness.
“…A influência da idade sobre a qualidade da dieta pode refletir uma mudança de consciência sobre a saúde, interferindo diretamente nas escolhas alimentares pelo grupo de maior idade ou na manutenção dos hábitos em face da menor exposição ao ambiente (31) . A condição financeira é um dos fatores determinantes do estilo da alimentação, isto é, o maior poder aquisitivo está relacionado à maior aquisição de certos tipos de alimentos (32) . A qualidade da dieta varia significativamente de acordo com as características demográficas de sexo e faixa etária, e melhora de acordo com o aumento do nível de escolaridade (31) .…”
“…Previous studies analyzing anthropometric measures as predictors of hyperglycemia in children and adolescents also observed poor accuracies, ranging from 0.44 to 0.51 for BMI, from 0.44 to 0.52 for WC, and from 0.50 to 0.57 for WHtR (27)(28)(29)(30). It is well known that excess body fat is associated with different physiological and pathological states, including alterations in glucose metabolism (31).…”
Section: Anthropometry and Hyperglycemia In Youngmentioning
Objectives: To evaluate the ability of BMI, WC and WHtR to discriminate hyperglycemia in young people, and to determine whether there is an increase in the accuracy with the addition of WC and/or WHtR to BMI. Subjects and methods: A cross-sectional study was conducted on 1,139 schoolchildren aged 6 to 17 years from Northeastern Brazil. Body weight, height, WC and fasting glucose levels were measured, and the BMI and WHtR were calculated. The presence of hyperglycemia was defined as a fasting glucose level ≥ 100 mg/dL. Results: The prevalence of hyperglycemia was 6.6%. Strong correlations were observed between the anthropometric indicators studied (BMI vs. WC = 0.87; BMI vs. WHtR = 0.87; WC vs. WHtR = 0.90). Hyperglycemia was more likely to be present in young people with excess weight (PR = 1.70), high WC (PR = 1.85), and high WHtR (PR = 1.91). The accuracies to discriminate hyperglycemia were significant, but low, for the individual (BMI = 0.56; WC = 0.53; WHtR = 0.55) and combined indicators (BMI + WC = 0.55; BMI + WHtR = 0.55). Conclusion: Our findings do not support the use of BMI, WC or WHtR as screening tools for hyperglycemia in children and adolescents. Arch Endocrinol Metab. 2016;60(6):526-31
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