Abstract:Associação das concentrações séricas de zinco com hipercolesterolemia e resistência à insulina em crianças brasileirasAssociation between serum zinc level and hypercholesterolemia and insulin resistance in Brazilian children Asociación de las concentraciones séricas de zinc con la hipercolesterolemia y resistencia a la insulina en niños brasileñas (RP = 1,96; IC95%: 1,66) e a de hipercolesterolemia foi 23% menor (RP = 0,77; IC95%: 0,96)
“…The study design, sample size calculation and non‐inclusion criteria have been previously described (Albuquerque et al, 2018; Milagres et al, 2017). In brief, 378 children (181 boys; 197 girls) were selected by stratified random sampling.…”
Introduction
Cardiometabolic risk factors often emerge in childhood, increasing the risk of cardiovascular diseases in adulthood. The school environments represent an important active space in a child's routine and may influence their health status.
Methods
In this cross‐sectional study, we aimed to evaluate the clustering of cardiometabolic risk factors and its association with the obesogenic and leptogenic environment around schools. A total of 378 children (181 boys; 197 girls) aged 8 and 9 years, enrolled in all urban schools of Viçosa, Minas Gerais, Brazil, were evaluated. Concentrations of high‐density lipoprotein‐cholesterol (HDL‐c) and triglycerides (TG), and the insulin resistance (HOMA‐IR), waist circumference (WC), and mean arterial pressure (MAP) were measured. The neighborhood income, walkability index, predominantly ultra‐processed food stores, public spaces for leisure and/or physical activities, traffic accidents, crime and green spaces densities were assessed in 400 road network buffers around schools. To test association of the obesogenic and leptogenic environment around schools with cardiometabolic risk clustering, binary logistic regression models were performed with generalized estimating equations.
Results
“Obesogenic school environments” had greater densities of ultra‐processed food stores, crime and traffic accidents, and higher walkability. The “↓ Atherogenic risk” cluster consisted of higher HDL‐c values. There was an inverse association between the obesogenic environment around schools and a child's “↓ atherogenic risk” clustering (OR = 0.63; p < 0.001).
Conclusion
We concluded that public policies aimed at modifying the environment around schools, by providing healthier food options and safe conditions for active mobility, are essential to prevent child's atherogenic risk.
“…The study design, sample size calculation and non‐inclusion criteria have been previously described (Albuquerque et al, 2018; Milagres et al, 2017). In brief, 378 children (181 boys; 197 girls) were selected by stratified random sampling.…”
Introduction
Cardiometabolic risk factors often emerge in childhood, increasing the risk of cardiovascular diseases in adulthood. The school environments represent an important active space in a child's routine and may influence their health status.
Methods
In this cross‐sectional study, we aimed to evaluate the clustering of cardiometabolic risk factors and its association with the obesogenic and leptogenic environment around schools. A total of 378 children (181 boys; 197 girls) aged 8 and 9 years, enrolled in all urban schools of Viçosa, Minas Gerais, Brazil, were evaluated. Concentrations of high‐density lipoprotein‐cholesterol (HDL‐c) and triglycerides (TG), and the insulin resistance (HOMA‐IR), waist circumference (WC), and mean arterial pressure (MAP) were measured. The neighborhood income, walkability index, predominantly ultra‐processed food stores, public spaces for leisure and/or physical activities, traffic accidents, crime and green spaces densities were assessed in 400 road network buffers around schools. To test association of the obesogenic and leptogenic environment around schools with cardiometabolic risk clustering, binary logistic regression models were performed with generalized estimating equations.
Results
“Obesogenic school environments” had greater densities of ultra‐processed food stores, crime and traffic accidents, and higher walkability. The “↓ Atherogenic risk” cluster consisted of higher HDL‐c values. There was an inverse association between the obesogenic environment around schools and a child's “↓ atherogenic risk” clustering (OR = 0.63; p < 0.001).
Conclusion
We concluded that public policies aimed at modifying the environment around schools, by providing healthier food options and safe conditions for active mobility, are essential to prevent child's atherogenic risk.
“…A detailed description of study design, sample size calculation, and non-inclusion criteria has been published elsewhere (Albuquerque et al, 2018). In summary, participants of this study were from PASE, a representative study with 378 children aged between 8 and 9 years, enrolled in urban schools in Viçosa, Minas Gerais, Brazil.…”
Objective
We aimed to evaluate the association of neighborhood obesogenic and leptogenic environments with cardiometabolic risk clustering among Brazilian schoolchildren, mediated by child's ultra‐processed food consumption and the mother's body mass index (BMI).
Methods
A total of 367 children aged 8–9 years, enrolled in urban schools of Viçosa, Minas Gerais, Brazil, were evaluated. Waist circumference, insulin resistance, blood pressure, high‐density lipoprotein‐cholesterol, and triglycerides concentrations were measured. The child's ultra‐processed food consumption assessment was performed by applying three 24‐hour dietary recall. The mother's weight and height values were used to calculate the BMI. The neighborhood income, walkability index, predominantly ultra‐processed food stores, public spaces for leisure, and/or physical activities, traffic accidents, crime, and green spaces densities were assessed in four hundred road network buffers around households. From neighborhood and cardiometabolic risk variables, four latent variables were obtained from confirmatory factor analysis: neighborhood “obesogenic”, and “leptogenic” environments; “high cardiometabolic risk,” and “low atherogenic risk”. A structural equation model was used to test the direct and indirect associations between neighborhood environment and cardiometabolic risk clusters.
Results
The neighborhood obesogenic environment had a significant total association (Standardized Coefficient = 0.172, p = .011) and was indirectly associated with the child's “high cardiometabolic risk” cluster, mediated by the mother's body mass index (Standardized Coefficient = 0.066, p = .049).
Conclusions
Our results reinforce the role of the urban environment on maternal obesity and child's cardiometabolic risk and provide evidence for public health policies aimed to prevent such conditions.
“…The study participants came from the Schoolchildren Health Assessment Survey ( Pesquisa de Avaliação da Saúde do Escolar , PASE), a cross-sectional investigation that aimed to evaluate the cardiovascular health of this pediatric population in the municipality of Viçosa. 8 In 2015, the municipality had 17 public schools and seven private ones in the urban area, attended by children aged 8 and 9 years, totalling 1464 enrolled children.…”
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