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      Análisis del concepto "Diabesidad" Translated title: "Diabesity" concept analysis

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          Abstract

          Resumen Análisis del concepto diabesidad, mediante la metodología de Walker y Avant, los cuales proponen ocho pasos: (1) Selección del concepto: se seleccionó dada la carga global de morbi-mortalidad atribuida a la diabetes y obesidad. (2) Objetivo del análisis: reunir información sobre la diabesidad para tener una línea de base sobre la utilización e implicaciones del mismo. (3) Identificar los usos: se ha usado para designar simultáneamente a la obesidad y diabetes dentro de la salud pública. (4) Características y atributos del concepto: se identifican diversas características relacionadas con alteraciones en todos los sistemas corporales, especialmente en el metabólico. (5) Caso modelo y (6) Caso contrario/límite: ambos se realizaron con base en la literatura. (7) Identificación de antecedentes y consecuencias: dentro de los antecedentes se identifican los factores de riesgo cardiovascular y las consecuencias corresponden a las alternativas y tratamientos terapéuticos. (8) Definición de indicadores empíricos: se identificaron múltiples que contribuyen a medir diversas moléculas corporales relacionadas con obesidad y diabetes. Conclusión: La diabesidad es un padecimiento de alta prevalencia a nivel mundial, tiene repercusiones a nivel físico, psicológico y social, por tal motivo es importante la comprensión holística del fenómeno.

          Translated abstract

          Abstract Analysis of the concept of diabesity, through the methodology of Walker and Avant, who pro-pose eight steps. (1) Selection of the concept: it was selected given the global burden of morbidi-ty and mortality attributed to diabetes and obesity. (2) Aim of the analysis: gather information on diabesity to have a baseline on its use and implications. (3) Identify the uses: it has been used to simultaneously designate obesity and diabetes within public health. (4) Characteristics and at-tributes of the concept: various characteristics related to alterations in all body systems, especial-ly in the metabolic system, are identified. (5) Model case and (6) Opposite case/limit: it was car-ried out based on the literature. (7) Identification of antecedents and consequences: within the antecedents, cardiovascular risk factors are identified and the consequences correspond to thera-peutic alternatives and treatments. (8) Definition of empirical indicators: multiple indicators were identified that help measure various body molecules related to obesity and diabetes. Con-clusion: Diabesity is a disease of high prevalence worldwide, it has physical, psychological and social repercussions; For this reason, a holistic understanding of the phenomenon is important.

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          Most cited references46

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          Gut Microbiota and the Neuroendocrine System

          The microbial ecosystem that inhabits the gastrointestinal tract of all mammals—the gut microbiota—has been in a symbiotic relationship with its hosts over many millennia. Thanks to modern technology, the myriad of functions that are controlled or modulated by the gut microbiota are beginning to unfold. One of the systems that is emerging to closely interact with the gut microbiota is the body’s major neuroendocrine system that controls various body processes in response to stress, the hypothalamic–pituitary–adrenal (HPA) axis. This interaction is of pivotal importance; as various disorders of the microbiota–gut–brain axis are associated with dysregulation of the HPA axis. The present contribution describes the bidirectional communication between the gut microbiota and the HPA axis and delineates the potential underlying mechanisms. In this regard, it is important to note that the communication between the gut microbiota and the HPA axis is closely interrelated with other systems, such as the immune system, the intestinal barrier and blood–brain barrier, microbial metabolites, and gut hormones, as well as the sensory and autonomic nervous systems. These communication pathways will be exemplified through preclinical models of early life stress, beneficial roles of probiotics and prebiotics, evidence from germ-free mice, and antibiotic-induced modulation of the gut microbiota. Electronic supplementary material The online version of this article (10.1007/s13311-017-0600-5) contains supplementary material, which is available to authorized users.
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            Diabesity: the combined burden of obesity and diabetes on heart disease and the role of imaging

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              Gut Microbiota, Host Organism, and Diet Trialogue in Diabetes and Obesity

              The gastrointestinal tract with its microbiota is a complex, open, and integrated ecosystem with a high environmental exposure. It is widely accepted that the healthy gut microbiotais essential for host homeostasis and immunostasis, harboring an enormous number and variety of microorganisms and genes tailored by hundreds of exogenous and intrinsic host factors. The occurrence of dysbiosis may contribute to host vulnerability and progression to a large spectrum of infectious and non-communicable diseases, including diabetes and obesity, two metabolic disorders that are showing an endemic trend nowadays. There is an urgent need to develop efficient strategies to prevent and treat metabolic disorders such as diabetes and obesity which are often associated with serious complications. In this paper, we give an overview on the implications of gut microbiota in diabesity, with a focus on the triangle gut microbiota—diet-host metabolism and on the way to manipulate the gut microbial ecosystem toward achieving novel diagnosis and predictive biomarkers with the final goal of reestablishing the healthy metabolic condition. The current research data regarding the precision/personalized nutrition suggest that dietary interventions, including administration of pre-, pro-, and syn-biotics, as well as antibiotic treatment should be individually tailored to prevent chronic diseases based on the genetic background, food and beverage consumption, nutrient intake, microbiome, metabolome, and other omic profiles.
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                Author and article information

                Journal
                index
                Index de Enfermería
                Index Enferm
                Fundación Index (Granada, Granada, Spain )
                1132-1296
                1699-5988
                December 2022
                : 31
                : 4
                : 289-293
                Affiliations
                [1] Puebla orgnameFundación Universidad de las Américas México
                Article
                S1132-12962022000400011 S1132-1296(22)03100400011
                10.58807/indexenferm20225176
                0d50d852-0314-4853-ae8b-d0cca72e9e8e

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 21 June 2022
                : 30 August 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 47, Pages: 5
                Product

                SciELO Spain

                Categories
                Teorizaciones

                Diabesity,Diabetes Tipo 2,Obesidad,Diabesidad,Type 2 diabetes,Obesity

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