Objective: To review the scientific literature on the influence of verified nutrition, food and diet interventions on occupational health. Method: This study involved a critical analysis of articles retrieved from MEDLINE (via PubMed), Embase, Cochrane Library, PsycINFO, Scopus, Web of Science, Latin American and Caribbean Health Sciences Literature (LILACS) and Medicina en Español (MEDES) using the descriptors “Diet, Food, and Nutrition” and “Occupational Health” and applying the filters “Clinical Trial”, “Humans” and “Adult: 19+ years”; the search was conducted on 29 May 2021. Results: A total of 401 references were retrieved from the bibliographic databases, with an additional 16 identified through a secondary search; among the studies retrieved, 34 clinical trials were selected after applying the inclusion and exclusion criteria. The interventions were grouped into seven categories: (1) dietary interventions associated with exercise or educational programs; (2) individual environmental interventions or other educational actions; (3) educational interventions oriented toward lifestyle, dietetics, physical activity and stress management; (4) economic incentives; (5) multicomponent interventions (combination of mindfulness, e-coaching and the addition of fruits and vegetables); or dietary interventions (facilitating greater food supply in cafeterias); or interventions focused on physical exercise. Conclusions: Given that most people spend a large part of their time in the workplace and, therefore, eat at least one of their daily meals there, well-planned interventions—preferably including several strategies—have been demonstrated, in general, as useful for combating overweight and obesity. From the meta-regression study, it was observed that the interventions give better results in people who presented high Body Mass Index (BMI) values (obesity). In contrast, intervention 2 (interventions related to workplace environment) would not give the expected results (it would increase the BMI).

Objective: To identify and analyze population interest in obesity, nutrition, and occupational health and safety and its relationship with the worldwide prevalence of obesity through information search trends. Method: In this ecological study, data were obtained through online access to Google Trends using the topics “obesity”, “nutrition”, and “occupational health and safety”. Obesity data were obtained from the World Health Organization (WHO) website for crude adult prevalence and estimates by region. The variables studied were relative search volume (RSV), temporal evolution, milestone, trend, and seasonality. The temporal evolution of the search trends was examined by regression analysis (R2). To assess the relationship between quantitative variables, the Spearman correlation coefficient (Rho) was used. Seasonality was verified using the augmented Dickey–Fuller (ADF) test. Results: The RSV trends were as follows: obesity (R² = 0.04, p = 0.004); nutrition (R² = 0.42, p < 0.001); and occupational health and safety (R² = 0.45, p < 0.001). The analysis of seasonality showed the absence of a temporal pattern (p < 0.05 for all terms). The associations between world obesity prevalence (WOP) and the different RSVs were as follows: WOP versus RSV obesity, Rho = −0.79, p = 0.003; WOP versus RSV nutrition, Rho = 0.57, p = 0.044; and WOP versus RSV occupational health and safety, Rho = −0.93, p = 0.001. Conclusions: Population interest in obesity continues to be a trend in countries with the highest prevalence, although there are clear signs popularity loss in favor of searches focused on possible solutions and treatments, with a notable increase in searches related to nutrition and diet. Despite the fact that most people spend a large part of their time in the workplace and that interventions including various strategies have been shown to be useful in combating overweight and obesity, there has been a decrease in the population’s interest in information related to obesity in the workplace. This information can be used as a guide for public health approaches to obesity and its relationship to nutrition and a healthy diet, approaches that are of equal utility and applicability in occupational health.

Google Académico (Google Scholar) es un buscador bibliográfico gratuito, especializado en recuperar documentos científicos de múltiples fuentes y en varias disciplinas. Por ejemplo, artículos científicos, tesis, patentes o libros, además de identificar las citas que éstos han recibido, ayudando a conocer el impacto de las publicaciones. Cabe destacar que Google Académico se complementa con Google Books, Google Patents, Google Scholar Metrics, citas de Google y con los enlaces a bibliotecas. Estas características hacen de Google Académico una herramienta ideal para buscar en diversas fuentes desde un solo sitio, convirtiéndose así en un potente competidor de otros motores de búsqueda e índices de citas.

Tras la pandemia de la COVID 19, se pudo ver las costuras de los sistemas sanitarios. En un contexto de gasto sanitario creciente, con falta de recursos materiales y humanos, en el que el acceso a los sistemas de salud es desigual y en el que los errores evitables derivados de la atención sanitaria causan miles de muertes al año, la inteligencia artificial (IA) ha supuesto una revolución en el campo de la salud. Y teniendo en cuenta que los servicios de urgencias deben gestionar altos volúmenes de pacientes, con una demanda creciente, recursos limitados y toma de decisiones sensibles al mismo tiempo, las aplicaciones de IA tienen el potencial de mejorar los resultados del paciente, optimizar la utilización de los recursos (reducción de costes), apoyar la toma de decisiones clínicas en situaciones sensibles y minimizar las limitaciones humanas y reducir los errores (sesgos cognitivos y fatiga).