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INTRODUCCIÓN: Las prácticas de crianza en alimentación y la conducta alimentaria han sido ampliamente estudiadas en niños, sin embargo, es necesario proporcionar información sobre su impacto en adultos. La evidencia sugiere que las prácticas de crianza en alimentación pueden tener un impacto en la conducta alimentarias emocional, descontrolada, restrictiva y desordenada, las cuales están asociadas con el incremento del Índice de masa corporal (IMC), el sobrepeso y la obesidad, mismos que se encuentran como principal factor de riesgo para el desarrollo de DT2. OBJETIVO: analizar través de una revisión sistemática la evidencia existente acerca de la relación entre las prácticas de crianza en alimentación, la conducta alimentaria y el riesgo de diabetes en adultos. METODOLOGÍA: Se realizó una búsqueda de literatura publicada de 2013 a 2023 en las bases de datos Pubmed, Scopus, EBSCOhost, Clarivate Science Citation Index Expanded y SpringerLink. Se identificaron 459 estudios, luego de aplicar los criterios de exclusión, se revisaron 15 estudios en total. RESULTADOS: Las subescalas de las prácticas de crianza en alimentación más empleadas fueron: preocupación, control, presión para comer y restricción. Se encontró asociación entre las prácticas de crianza en alimentación, la conducta alimentaria y el incremento del IMC. CONCLUSIÓN: Se consideran insuficientes las investigaciones que muestran el impacto de las prácticas de crianza en alimentación sobre la conducta alimentaria y si estas a su vez tienen efectos en el riesgo de diabetes en la etapa adulta.
INTRODUCTION: Parenting practices in feeding and eating behavior have been widely studied in children, however, it is necessary to provide information on their impact on adults. The evidence suggests that parenting practices in feeding can have an impact on emotional, uncontrolled, restrictive and disordered eating behavior, which are associated with an increase in BMI, overweight and obesity, which are found as the main factor of risk for the development of T2D. OBJECTIVE: To analyze, through a systematic review, the existing evidence about the relationship between parenting feeding practices, eating behavior and the risk of diabetes in adults. METHODOLOGY: A search of literature published from 2013 to 2023 was carried out in the Pubmed, Scopus, EBSCOhost, Clarivate Science Citation Index Expanded and SpringerLink databases. 459 studies were identified, after applying the exclusion criteria, 15 studies in total were reviewed. RESULTS: The subscales of the most frequently used parenting practices in feeding were: concern, control, pressure to eat and restriction. An association was found between parenting feeding practices, eating behavior and increased BMI. CONCLUSION: Research showing the impact of parenting feeding practices on eating behavior and whether these in turn have effects on the risk of diabetes in adulthood are considered insufficient.
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Objective To evaluate sedentary lifestyles after school in children aged 7 to 12 year-old living in Guangzhou, and to explore the association between sedentary behaviors after school with cardiometabolic risk factors. Methods Using the method of stratified cluster random sampling, this study recruited 7 to 12 year-old primary students (n=4 294) in Guangzhou. The physical examination and questionnaire were used to collect the sedentary lifestyles after school and cardiometabolic risk factors, analyzing the impact of different aedentary behavoir time after school on cardiometabolic risk factors. Results The average sedentary time after school per day were 194.3 min (boys: 200.3 min; girls: 187.3 min). Inter-quartile ranges of sedentary time after school per day were ≤130.0, 131.0-180.0, 181.0-240.0, and ≥241.0 min/d. Controlling for confounding factors, the odd ratios (OR) of central obesity, overweight/obesity, high TC status, high TG status and high LDL-C status in the highest compared to the lowest quartile of sedentary time after school per day were 1.39 (95%CI:1.08-1.80), 1.44 (95%CI:1.16-1.80), 1.26(95%CI:1.05-1.51), 1.63(95%CI:1.34-1.98), 1.28(95%CI:1.06-1.55), respectively. Conclusions Sedentary lifestyles have a positive relationship with childhood central obesity, overweight/obesity and dyslipidemia in primary school children. Therefore, it is essential to strengthen the intervention to the lifestyles of teenagers and reduce the sedentary behavior time of children and teenagers.
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Objetivo: Determinar los niveles séricos de sCD36, molécula relacionada al metabolismo lipídico, en poblaciones de la altura y del nivel del mar, y establecer la asociación de este parámetro con factores de riesgo cardiometabólico. Materiales y métodos: Participaron 45 personas de Carhuamayo (4100 msnm) y 40 personas de Mala (30 msnm). Se midió el peso, talla y presión arterial. Se determinó la hemoglobina en sangre total, y la glucosa, perfil lipídico y sCD36 en suero. Resultados: Se encontró en la población de Carhuamayo niveles de hemoglobina significativamente mayores, mientras que el peso, IMC y nivel de glucosa fueron significativamente menores que en Mala. No hubo diferencia significativa entre los niveles séricos de sCD36 de ambas poblaciones. Se observó una diferencia significativa entre los valores medios de sCD36 según el IMC, y una correlación positiva significativa entre sCD36 y el peso e IMC. Conclusiones: El nivel sérico observado de sCD36 es independiente de la altitud y puede ser considerado como marcador potencial de síndrome metabólico
Objectives: To determine the serum levels of sCD36, a lipid metabolism-related molecule, in high-altitude and sea-level populations, and to establish the association of this parameter with cardiometabolic risk factors. Materials and methods: The study population consisted of 45 people from Carhuamayo (4100 masl) and 40 people from Mala (30 masl). Weight, height and blood pressure were measured. Hemoglobin was determined in whole blood, and glucose, lipid profile and sCD36 in serum. Results: It has been found that hemoglobin levels in the population of Carhuamayo were significantly higher, while weight, BMI and glucose level were significantly lower than those in the population of Mala. There was no significant difference between serum levels of sCD36 in both populations. A significant difference was observed between sCD36 mean serum levels of both populations based on the BMI, and a significant positive correlation between sCD36 and the weight and BMI. Conclusions: The observed sCD36 serum level is not related to the altitude and can be considered as a potential marker of metabolic syndrome