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Background: The purpose was to determine the proportion of 9- to 11-year-old children meeting the 24-hour movement guidelines (24-HMG) in a low-income town from Chile. Methods: Physical activity, sedentary behavior (recreational screen), and sleep times were measured with both questionnaire and accelerometer in 258 children from third to sixth grade. Meeting the 24-HMG was defined as having ≥60 minutes per day of moderate to vigorous physical activity, ≤2 hour day of screen time, and 9 to 11 hours of sleep per night. Compliance rates were calculated as self-reported 24-HMG, with all estimations based on questionnaires, and mixed 24-HMG, in which physical activity and sleep were determined with an accelerometer and sedentary behavior was determined with a questionnaire. Results: About 198 children (10.1 [0.8] y, range 9–11 y) provided valid data for estimating self-reported 24-HMG, and 141 for mixed 24-HMG. Only 3.2% and 0.7% met the 24-HMG when using the self-reported and mixed methods, respectively. When assessing individual recommendations, 13.1% and 3.7% of the sample were physically active based on the self-report and accelerometer, respectively. About a quarter met the sedentary behavior recommendations, while around 50% met the sleep recommendations with both self-reported and mixed methods. Conclusions: An extremely low percentage of the participants met the 24-HMG. Multicomponent initiatives must be implemented to promote healthy movement behaviors in Chilean children.

Background: The study summarizes the findings of the 2018 Chilean Report Card (RC) on Physical Activity (PA) for Children and Adolescents and compares the results with the first Chilean RC and with other countries from the Global Matrix 3.0. Methods: A Research Work Group using a standardized methodology from the Global Matrix 3.0 awarded grades for 13 PA-related indicators based on the percentage of compliance for defined benchmarks. Different public data sets, government reports, and papers informed the indicators. Results: The grades assigned were for (1) “behaviors that contribute to overall PA levels”: overall PA, D−; organized sport participation, D−; active play, INC; and active transportation, F; (2) “factors associated with cardiometabolic risk”: sedentary behavior, C−; overweight and obesity, F; fitness, D; sleep, INC; and (3) “factors that influence PA”: family and peers, F; school, D; inclusion, INC; community and built environment, B; government strategies and investments, B−. Conclusions: Chile’s grades remained low compared with the first RC. On the positive side, Chile is advancing in environmental and policy aspects. Our findings indicate that the implementation of new strategies should be developed through collaboration between different sectors to maximize effective investments for increasing PA and decreasing sedentary time among children and adolescents in Chile.

High prevalence of dyslipidemia and high atherogenic index of plasma in children and adolescents Background: Dyslipidemias in childhood increase the risk of cardiovascular events in adult life. Aim: To evaluate the prevalence of dyslipidemia and risk of atherogenicity based in the atherogenic index of plasma (AIP) in a sample of school children and adolescents. Material and Methods: Cross-sectional study of 208 children aged 10.4 ± 1.0 years (107 women). Demographic data were obtained, and a clinical evaluation was conducted, including pubertal development according to Tanner and anthropometric parameters. A fasting blood sample was obtained to measure total cholesterol (CT), HDL cholesterol (cHDL) and triglycerides (TG), glucose and insulin. LDL cholesterol (cLDL), Non-HDL cholesterol and the indices CT/cHDL, cLDL/cHDL and AIP (log[TG/cHDL]) were calculated. Risk categories according to AIP for the pediatric population were also determined (low: AIP < 0.11, intermediate: AIP 0.11-0.21, high: AIP > 0.21). Results: Thirty eight percent of participants had dyslipidemia, without differences by gender and pubertal development. The frequency of dyslipidemia was significantly higher in children with obesity (54%, p < 0.01) and a waist circumference over percentile 90 (61%; p < 0.01). The later conditions had also higher CT/cHDL, cLDL/cHDL and AIP. According to AIP, 54% of children had a high atherogenicity risk along with alterations in anthropometric parameters and insulin resistance. All anthropometric and insulin resistance parameters were significantly correlated with the AIP. Conclusions: There is a high prevalence of dyslipidemia in the studied population, which is associated with an increased cardiometabolic risk. The indices of atherogenicity and particularly AIP are correlated with nutritional status, abdominal obesity and parameters of insulin resistance.

High prevalence of overweight, obesity, insulin resistance and metabolic syndrome in rural children and adolescents Background: Childhood and adolescent obesity is a major public health problem in Chile. Aim: To characterize cardiometabolic risk factors in a population of schoolchildren from Carahue, Chile. Material and Methods: Cross-sectional assessment of 208 children aged 10.4 ± 1.0 years (106 women). A clinical evaluation was carried out including pubertal development according to Tanner and anthropometric parameters. A fasting blood sample was obtained to measure glucose, insulin and lipid profile. HOMA-IR and Quicki indices were calculated. Insulin resistance (IR) was established according to Burrows criteria and Barja criteria, previously proposed for the Chilean pediatric population. The metabolic syndrome (MetS) was established using the modified Cook criteria. Results: Thirty eight percent of children had overweight and 33.1% obesity. MetS was only observed in obese subjects and the frequency in this subgroup was 38%. The prevalence of IR was 51% according to the Burrows criteria and 19% according to Barja criteria. It was more common in participants who were overweight, obese or had abdominal obesity. Children with insulin resistance according to Barja criteria, had worse anthropometric measures than their counterparts without resistance. When Burrows criteria was used, no differences in anthropometric measures were observed between participants with or without resistance. The frequency of MetS was 26 and 18% in children with insulin resistance according to Barja and Burrows criteria, respectively. Insulin levels and insulin sensitivity indexes were positively correlated with anthropometric parameters. Conclusions: There was a high prevalence of overweight, obesity and MetS in these participants. Our results suggest that the IR criteria according to Barja allows to identify cases with higher metabolic risk.

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Abstract. Background: Little is known about of correlates of physical activity (PA), sedentary behaviour (SB), and sleeping in children from Latin America. The aim of this study was to assess the association between potential correlates with device-measured PA, SB and sleeping time in children from 9 to 11 years in Carahue, Chile. Methods: A cross-sectional study was conducted to assess correlates of physical behaviours (demographic, psychological, behavioural, home and school environment factors) from data reported by participants and caregivers. Each participant wore an ActiGraph GT3X+ accelerometer on the hip during seven consecutive days to measure PA, SB and sleeping time. Results: In total, 148 participants completed the study (47.3% male, 10.0±0.8 years). SB was positively associated with age, being female, family income, total screen time and distance to places, and negatively with higher scores of parent support for PA. Light PA was associated with age, family income, total screen time (all negative), and parent support for PA (positive). Moderate PA was associated with being male, self-efficacy and established healthy lifestyle committee at school. Vigorous PA was associated with being male, self-efficacy (both positive) and BMI z-score (negatively). Sleeping time was associated with age, portable videogame ownership (both negative) and PE minutes/week (positive).Conclusion: Variables from different levels explained each behaviour, reinforcing the need for multilevel strategies for promoting and helping to ensure healthier lifestyles in children.Resumen. Antecedentes: se sabe poco sobre los correlatos de la actividad física (PA), el comportamiento sedentario (SB) y el sueño en niños de América Latina. El objetivo de este estudio fue evaluar la asociación entre los posibles correlatos con la PA, la SB y el tiempo de sueño medidos por el dispositivo en niños de 9 a 11 años en Carahue, Chile. Métodos: se realizó un estudio transversal para evaluar los correlatos de los comportamientos físicos (factores demográficos, psicológicos, de comportamiento, del entorno escolar y del hogar) a partir de los datos informados por los participantes y los cuidadores. Cada participante usó un acelerómetro ActiGraph GT3X + en la cadera durante siete días consecutivos para medir la PA, SB y el tiempo de sueño. Resultados: En total, 148 participantes completaron el estudio (47.3% hombres, 10.0 ± 0.8 años). SB se asoció positivamente con la edad, el hecho de ser mujer, el ingreso familiar, el tiempo total de la pantalla y la distancia a los lugares, y negativamente con puntuaciones más altas de apoyo de los padres para PA. La PA leve se asoció con la edad, el ingreso familiar, el tiempo total de la pantalla (todo negativo) y el apoyo de los padres para la PA (positivo). La PA moderada se asoció con ser hombre, autoeficacia y un comité de estilo de vida saludable establecido en la escuela. La PA vigorosa se asoció con ser hombre, autoeficacia (ambos positivos) y puntaje BMI (negativo). El tiempo de sueño se asoció con la edad, la propiedad de los videojuegos portátiles (ambos negativos) y los minutos / semana de PE (positivo) .Conclusión: las variables de diferentes niveles explicaron cada comportamiento, lo que refuerza la necesidad de estrategias multinivel para promover y ayudar a garantizar estilos de vida más saludables en los niños.

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