Currently, there is no consensus on the criteria for identifying metabolic syndrome in children, as observed in the diversity of research developed. For this reason, a scoping review was developed in this work, in order to compare the criteria for the diagnosis of metabolic syndrome (MetS) applied in children, described in observational, descriptive cross-sectional studies. The databases PubMed, Scopus, Web of Science and the search engine Google Scholar were used. The search terms “metabolic syndrome”, “cardiometabolic syndrome”, “child”, “children” and “childhood” were considered, as well as the names of organizations or authors proposing identification criteria for MetS to establish search relationships using the Boolean connectors “AND” and “OR”. Likewise, two reviewers carried out the evaluation and selection of articles, of which 26 articles were included in which children aged 6 to 12 participated. It was found that the most commonly used criteria for identifying MetS since 2015 are those of Cook et al, IDF, NCEP ATPIII, and De Ferranti et al, in that order. Specific criteria, such as those proposed by Cook et al, are being chosen to enhance the accuracy of identifying MetS in children. The most common risk factors in children with MetS are abdominal circumference and BMI, followed by triglycerides, HDL, blood pressure, and blood glucose. The prevalence of MetS in children varies according to the criteria used, being higher with De Ferranti et al.

Purpose: The presence of the COVID-19 coronavirus in Peru, and especially in northern Peru, was very fast and caused many deaths. As a result, vaccination proved to be the most immediate option to control it. However, a sector of the population was reluctant to vaccination. Therefore, this study aimed to analyze the factors associated with the acceptance of COVID-19 vaccines by citizens of northern Peru. Patients and Methods: The study was observational, descriptive-correlational and the sample was stratified and consisted of 516 citizens from eight departments of northern Peru, who answered an online questionnaire regarding sociodemographic, cultural and health aspects. The data were analyzed using statistical tests of association and a logistic model was estimated to identify factors predicting vaccine acceptance. Results: Among the factors associated with vaccine acceptance, sociodemographic factors such as age and family income, cultural factors such as level of knowledge, and health factors such as having another chronic disease and a vaccine with a higher confidence (p<0.05) were found. In addition, 12% of the population do not trust them, 10% are afraid that they may cause thrombosis, 13% disagree with vaccination for children, 7% think that a chip will be implanted and 8% believe that their DNA will be changed. However, most people accept vaccination and consider it necessary. A multivariate analysis was also performed for the acceptance of vaccines, which presented a percentage of 80.2% correct in the prognosis. Conclusion: The multivariate analysis allowed a conclusion that the predictor variables for vaccine acceptance are household income of less than 1000 Peruvian soles per month, low or medium levels of knowledge, and having another chronic disease.

Objective: To analyze the questionnaire of the validity and reliability of knowledge, attitudes and practices concerning Mpox. Methods: This was an instrumental, cross-sectional study. The sample consisted of 178 citizens from 3 sectors of Peru, who responded to a virtual questionnaire regarding knowledge, attitudes and practices concerning Mpox. The validity and reliability process of the questionnaire was carried out using Aiken’s V, Cronbach’s Alpha, McDonald’s Omega and principal component analysis. Results: After expert evaluation, the questionnaire was shown to have adequate content validity for measuring knowledge, attitudes and practices concerning Mpox, each in their respective dimensions, with Aiken’s V values above 0.90. For construct validity, exploratory factor analysis was used and the items were grouped into four dimensions for the level of knowledge, three dimensions for attitudes, and two for practices. With respect to the reliability analysis, the application of Cronbach’s α statistic and McDonald’s ω, obtained values above 0.70. Conclusion: The results of the research enabled the attainment of a questionnaire that meets the adequate psychometric characteristics in order to be applied.

Introduction: Excessive workload in health personnel, due to the COVID-19 pandemic, has generated the presence of Burnout Syndrome. The purpose of this study was to determine a logistic model for the factors associated with the dimensions of Burnout Syndrome in health personnel during the COVID-19 pandemic in Trujillo - Peru.Method: A cross-sectional, correlational design was applied. The standardized Maslach Burnout Inventory questionnaire was used and applied virtually. It measures emotional exhaustion, depersonalization and personal fulfillment. The sample consisted of 143 health professionals from the Trujillo Micro-network and Social Health Insurance establishments (ESSALUD).Results: 24.5% of health professionals have a high level of emotional exhaustion, 27.3% a high level of depersonalization and 39.9% a low level of personal fulfillment. Marital status, family income, type of institution where they work, age and number of children are associated with the level of emotional exhaustion (p<0.05). Gender, profession, type of institution, age and number of children are associated with the level of depersonalization (p<0.05). The type of institution and age are associated with the level of personal fulfillment (p<0.05). Conclusions: The proposed ordinal logistic model indicates 69.2% success in emotional exhaustion level, 60.8% success for depersonalization level and 58.7% with the model for personal fulfillment level. Introducción: La carga de trabajo excesiva en el personal de salud, debido a la pandemia del COVID-19 ha generado la presencia del Síndrome de Burnout. El propósito de este estudio fue determinar un modelo logístico para los factores asociados a las dimensiones del Síndrome de Burnout en el personal de salud, durante la pandemia COVID-19, en Trujillo - Perú.Método: Se aplicó un diseño transversal, correlacional; se utilizó el cuestionario estandarizado del inventario de Burnout de Maslach aplicado virtualmente, que mide: agotamiento emocional, despersonalización y realización personal, la muestra estuvo conformada por 143 profesionales de salud de los establecimientos de la Micro red de Trujillo y de El Seguro Social de Salud (ESSALUD), Resultados: El 24,5% de profesionales de la salud tienen un nivel de agotamiento emocional alto, 27,3% nivel de despersonalización alto y 39,9% nivel de realización personal bajo. El estado civil, ingreso familiar, tipo de institución donde labora, la edad y el número de hijos se asocian al nivel de agotamiento emocional (p<0,05). El sexo, la profesión, tipo de institución, edad y número de hijos se asocian al nivel de despersonalización (p<0,05). El tipo de institución y la edad se asocian al nivel de realización personal (p<0,05). Conclusiones: El modelo logístico ordinal propuesto indica el 69,2% de éxito en nivel de agotamiento emocional, el 60,8% de éxito para el nivel de despersonalización y el 58,7% con el modelo para nivel de realización personal.

Palabras clave: Colesterol; Curva ROC; Lipoproteínas; Síndrome metabólico; Triglicéridos

Objective: To analyze the factors associated with leishmaniasis in Peru, according to the cluster classification in the period 2017–2021. Methods: Quantitative approach, with an ecological, descriptive correlational, and cross-sectional design. The population was from the geographical region of Peru, where a total of 26,956 cases of leishmaniasis were registered by the Peruvian Ministry of Health from 2017 to 2021. Spearman’s Rho statistic was used to analyze the variables that are most associated with the cases of leishmaniasis reported per year, and, in addition, the multivariate technique of cluster analysis was applied. Results: Annual rainfall and areas with humid forest (climatic factors) and mortality from transmissible diseases (health factor) are directly associated with reported cases of leishmaniasis. Households with basic access to infrastructure, drinking water, drainage, and electric lighting; illiteracy, regional social progress, and unsatisfied basic needs (social factors); and percentage of urban population (demographic factor) are inversely and significantly associated with cases of leishmaniasis. Conclusions: Climatic and environmental factors contribute to the multiplication of the leishmaniasis disease vector. The incidence of leishmaniasis adds up to the mortality rates for transmissible diseases in Peru. As living conditions improve, the incidence of this pathology decreases.