Resumo O objetivo do artigo é apresentar curvas de crescimento de altura, peso e IMC de 95.000 jovens brasileiros com idades entre 6 e 17 anos, incluindo as cinco regiões do país, a região da Amazônia e os povos indígenas, e comparar com as referências de crescimento da Organização Mundial da Saúde (OMS). A amostra final foi composta por 52.729 meninos e 42.731 meninas provenientes do banco de dados do “Projeto Esporte Brasil”. As informações de massa corporal e estatura foram utilizadas para derivar as curvas. O modelo aditivo generalizado para localização, escala e forma foi usado. neste estudo, apresentamos as curvas suavizadas de peso-idade, altura-idade e IMC-idade para meninos e meninas. Foram observadas diferenças entre os resultados das curvas brasileiras e as referências de crescimento da OMS. As curvas desenvolvidas serão úteis para profissionais da medicina, saúde pública, nutrição, educação física, entre outros, no que diz respeito a avaliação do crescimento físico de crianças e adolescentes brasileiros e para monitorar o estado nutricional desta população. Além disso, essas curvas permitirão a detecção de indivíduos ou subgrupos em risco de doenças e crescimento retardado, com um foco maior em fatores específicos do país.

Abstract This article aims to present growth curves for height, weight, and BMI of 95,000 Brazilian youths aged 6 to 17 years, including the five regions of the country, the Amazon region, and indigenous populations, and compare them with the World Health Organization (WHO) growth references. The final sample consisted of 52,729 boys and 42,731 girls from the “Projeto Esporte Brasil” database. Body mass and height information were used to derive the curves. The generalized additive model for location, scale, and shape was employed. In this study, we present smoothed weight-for-age, height-for-age, and BMI-for-age curves for boys and girls. Differences were observed between the results of the Brazilian curves and the WHO growth references. The developed curves will be valuable for professionals in medicine, public health, nutrition, physical education, and other related fields, regarding the assessment of physical growth in Brazilian children and adolescents and monitoring the nutritional status of this population. Additionally, these curves will facilitate the identification of individuals or subgroups at risk of diseases and delayed growth, with a greater focus on specific country-related factors.

Abstract Introduction: food type represents higher odds of having obesity (OB), especially in overweight (OW) subjects. Minimally and ultra-processed foods can be associated with the odds of having OB in OW subjects. Objective: to investigate the association of minimally and ultra-processed food consumption with OB in OW adults. Methods: we included 15,024 participants (9,618 OW [25.0-29.9 kg/m2], 5,406 OB [≥ 30 kg/m2]) with ages ranging from 18 to 59 years from the 2019 baseline survey of the Surveillance of Risk Factors and Protection for Chronic Diseases by Telephone Survey (VIGITEL, Brazil). Minimally and ultra-processed food daily consumption scores and confounding variables (age, sex, scholarly, physical activity, hypertension, and diabetes) were measured. Binary logistic regression analyzes the association of minimally and ultra-processed food consumption scores with OB (odds ratio [OR]). Results: minimally processed food consumption score quartiles (1st = 1[food-score/day]; 2nd = 6[food-score/day]; 3rd = 7[food-score/day]; 4th = 8[food-score/day]) presented higher values compared to ultra-processed food (1st = 1[food-score/day]; 2nd = 1[food-score/day]; 3rd = 2[food-score/day]; 4th = 4[food-score/day]). For each score of minimally processed food consumed, there was a -5.9 % odds of OB. Thus, the higher quartile (4th) of minimally processed food consumption score represents less odds of OB (OR: -47.2 %; p < 0.001). Each ultra-processed food score consumed presented odds of 3.7 % of OB. Therefore, higher consumption of ultra-processed food (4th quartile) shows higher odds of OB (OR: +14.8 %; p < 0.001). All associations remained significatively even after being adjusted by the confounders. Conclusion: the consumption scores of minimally processed and ultra-processed foods presented a magnitude capable of impacting OW adults' odds of OB, even when controlled by sociodemographic factors, physical activity, hypertension, and diabetes.

Resumen Introducción: el tipo de alimentación representa una mayor probabilidad de tener obesidad (OB), especialmente en sujetos con sobrepeso (SO). Los alimentos mínimamente procesados y ultraprocesados se pueden asociar con las probabilidades de tener OB en sujetos con SO. Objetivo: investigar la asociación del consumo de alimentos mínimamente procesados y ultraprocesados con la OB en adultos con SO. Métodos: se incluyeron 15.024 participantes (9.618 SO [25,0-29,9 kg/m2], 5.406 OB [≥ 30 kg/m2]) con edades entre 18 y 59 años de la encuesta basal 2019 de la Vigilancia de Factores de Riesgo y Protección para Enfermedades Crónicas mediante una Encuesta Telefónica (VIGITEL, Brasil). Se midió el puntaje de consumo diario de alimentos mínimamente procesados y ultraprocesados y variables de confusión (edad, sexo, escolaridad, actividad física, hipertensión y diabetes). Mediante una regresión logística binaria se analizó la asociación de las puntuaciones de consumo de alimentos mínimamente procesados y ultraprocesados con la OB (odds ratio [OR]). Resultados: los cuartiles de puntuación de consumo de alimentos mínimamente procesados (1.º = 1[alimento-puntuación/día]; 2.º = 6[alimento-puntuación/día]; 3.º = 7[alimento-puntuación/día]; 4.º = 8[alimento-puntuación/día]) presentaron valores superiores en comparación con los alimentos ultraprocesados (1.º = 1[alimento-puntuación/día]; 2.º = 1[alimento-puntuación/día]; 3.º = 2[alimento-puntuación/día]; 4.º = 4[alimento-puntuación/día]). Por cada punto de alimentos mínimamente procesados consumidos, hubo una probabilidad de OB del -5,9 %. Por lo tanto, el cuartil más alto (4.º) de puntuación de consumo de alimentos mínimamente procesados representa menos probabilidades de OB (OR: -47,2 %; p < 0,001). Cada puntaje de alimentos ultraprocesados consumidos presentó probabilidades de 3.7 % de OB. Por lo tanto, un mayor consumo de alimentos ultraprocesados (cuartil 4.º) muestra mayores probabilidades de OB (OR: +14,8 %; p < 0,001). Todas las asociaciones se mantuvieron significativamente incluso después de ajustarlas por los factores de confusión. Conclusión: las puntuaciones de consumo de alimentos mínimamente procesados y ultraprocesados impactaron en la probabilidad de desarrollar OB en adultos con SB, incluso cuando se controló por factores sociodemográficos, actividad física, hipertensión y diabetes.

Abstract Objective: The aim of this study was to analyze the relationship between body adiposity and physical fitness with performance in the Supine-to-Stand test (STS-test) in sedentary adolescents. Methods: Sixty-two adolescents, of both sexes, between 10 and 16 years old, participated in the study. Body mass (BM), height, waist circumference (WC), fat mass (FM), fat-free mass (FFM), right and left handgrip strength (HGS-right, HGS-left), abdominal resistance (ABDO), flexibility (FLEX), and cardiorespiratory fitness (VO2peak) were measured. Body mass index (BMI), z-score BMI (BMI-z), tri-ponderal mass index (TMI) and waist-to-height ratio (WHtR) were calculated. The STS-test was applied to evaluate the STS-MC by the movement patterns in the execution of the test. The STS-time in seconds (s) was categorized into terciles: fast (FG < 2.0 s), intermediate (IG = 2.0-2.6 s) and slow (SG > 2.6 s). One-way ANOVA, Chi-square, Spearman’s correlation coefficient as well as non-parametric tests were used, with significance p 0.05. Results: The SG presented higher BMI, BMI-z, TMI, WHtR, FM, %FM, as well as lower averages for %FFM, HGS-right, HGS-left, FLEX, ABDO, VO2peak, VO2peak relative to BM (VO2peakBM) in relation to GF. The BMI, BMI-z, TMI, WC, WHtR and FM showed moderate and direct correlations with STS-time and inverse with STS-MC (p < 0.01). HGS-right, HGS-left, ABDO, and VO2peakBM showed moderate and an inverse correlation with STS-time (p < 0.05). The VO2peakBM was moderate and with direct correlations to STS-MC (p < 0.01). Conclusion: It is concluded that excess fat and low physical fitness hamper STS-test performance. Therefore, the STS-test can be used for screening students to assess MC.

Abstract Aim: To compare high active (HA) and low active (LA) adolescent’s physical activity (PA) levels in three different domains: commuting to school, physical education (PE) class and recess time at school. Method: This is a cross-sectional study, with a quantitative approach and random sample of 176 (105 girls) adolescents aged 14 - 18 years old from 10 urban public high schools in southern from Brazil. PA levels were measured using a pedometer. The average number of steps was recorded on the way to school, during PE classes and during school recess time. Participants were classified as HA and LA according to Tudor-Locke’s cut-off points. Data were analyzed using descriptive statistics and One-Way ANOVA stratified by sex. Results: Data showed differences of mean values between school commuting PA for girls (LA: 1057.60; HA: 1624.54; Δ: 566.94; p<0.001), during PE class (LA: 1401.75, HA: 1701.10; Δ: 308.53; p<0.05) and in recess time (LA: 443.09, HA: 611.98; Δ: 168.89; p=0.001), whereas for boys, differences only found between the mean values of PA during PE class (LA: 1787.91, HA: 2511.20; Δ: 723.29; p<0.01). Conclusion: HA girls are consistently more active in each domain analyzed compared to LA counterparts, while for boys PE class was the domain that differentiated the HA vs. LA adolescents. This study highlights some potential settings to be included in the policies focused in enhance PA levels among adolescents namely in the context of school PE.

Abstract Aim: The objective of this study was to analyze whether or not socioeconomic positions influence outdoor playtime during the week (WK) and on the weekends (WEND). Methods: The sample consisted of 485 (girls; n=223) healthy preschoolers, aged from 3 to 6 years, enrolled in kindergartens from the metropolitan area of Porto, Portugal. Physical Activity (PA) was assessed for 7 consecutive days with an accelerometer. The time playing outdoors during the WK or the WEND was reported by parents. Anthropometric data (weight and height) was collected following standardized protocols. Socioeconomic position was assessed by Parental Education (PE), according to the Portuguese education system. Results: We found differences in time spent playing outdoors either for the WK or WEND, but not for Total PA (TPA), in both sexes. However, regression analysis showed that after age adjustment, BMI and TPA for both sexes, we only found significant associations between low PE (LPE) and high PE (HPE) groups on WK or WEND. However, we found no statistically significant association for boys on the WK (p=0.06). Conclusion: Our findings suggest that socioeconomic position can influence the children’s time spent in outdoor activities, especially on the weekends. This may have implications for future interventions with this age group.