6 research outputs found

    Tendencias temporales de los patrones de búsqueda sobre Servicios de Atención de Salud a Domicilio antes y después del COVID-19

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    Objetive: To analyze the temporal trends of the information search patterns on Home Care Services through Google Trends before and after the appearance of COVID-19. Method: Ecological and correlational study. The data were obtained from direct queries in the «Google Trends» tool. Search term: “Home Care Services.” Date of consultation 01-09-2021. Results: The maximum number of searches was reached in January 2020, coinciding with the start of the COVID-19 pandemic. During the pre-COVID period, a seasonality was observed in the interest of the population (ADF: - 0.49; * p> 0.05) that disappeared with the emergence of COVID-19 (ADF: -8.55; p < 0.05). The comparison of the medians showed statistically significant differences before and after COVID (KW: 31.15; *** p-value < 0.001). Conclusions: It has been shown that the appearance of COVID-19 has been a significant milestone regarding the general population’s interest in Home Care Services.Objetivo: Analizar las tendencias temporales de los patrones de búsqueda de información, sobre los Servicios de Atención de Salud a Domicilio a través de Google Trends antes y después de la aparición del COVID-19. Método: Estudio ecológico y correlacional. Los datos se obtuvieron de la consulta directa en la herramienta «Google Trends». Término de búsqueda: “Servicio de asistencia sanitaria domiciliaria”. Fecha de consulta 01-09-2021. Resultados: El máximo de búsquedas se alcanzó en enero de 2020, coincidiendo con el inicio de la pandemia del COVID-19. Durante el período pre-COVID se observó una estacionalidad en el interés de la población (ADF: - 0.49; *p > 0.05) que desapareció con la irrupción del COVID-19 (ADF: -8.55; p < 0.05). La comparación de las medianas mostró diferencias estadísticamente significativas antes y después del COVID (KW: 31.15; *** p-valor < 0.001). Conclusiones: Se ha demostrado que la aparición del COVID-19 ha supuesto un hito significativo respecto al interés de la población general sobre los Servicios de Atención de Salud a Domicilio

    Topic Modeling mediante Machine Learning no supervisado de artículos científicos sobre Salud Laboral y Servicios de Atención de Salud a Domicilio

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    Objective: To identify in an unsupervised manner through topic modeling the topics of greatest interest in the field of Occupational Health and Home Care Services from the scientific articles published on the subject. Method: The study used the unsupervised Machine Learning algorithm Dirichlet Latent Assignment for topic modeling and the NRC lexicon to carry out the sentiment analysis of the corpus of document files obtained from MEDLINE (via PubMed) using the descriptors “Occupational Health” and “Home Care Services”. Results: Of the total of 70 documentary files analyzed, it was obtained that the intensity of the emotions in the texts was low (ranging in values from 5 to 10), with positive feelings having a greater representation compared to negative ones in a ratio of 60/ 40. There was no variation in the proportions of emotions with respect to the study period. The four topics of greatest interest were identified in the articles analyzed: home care and caregiver satisfaction, breastfeeding period, rehabilitation programs, and physical activity to mitigate pain. Conclusions: It has been confirmed that natural language processing methodologies can be a great support tool for the analysis of scientific articles. Specifically, it has been possible to determine in a clear and unsupervised manner the topics of greatest interest in the field of Occupational Health and Home Care Services.Objetivo: Identificar de manera no supervisada mediante topic modeling los temas de mayor interés en el campo de la Salud Laboral y los Servicios de Atención a Domicilio de los artículos científicos publicados en la materia. Método: Este estudio empleó el algoritmo de Machine Learning no supervisado Asignación Latente de Dirichlet para el topic modeling y el lexicón NRC para la realización del análisis de sentimientos del corpus de las fichas documentales obtenidas de MEDLINE (vía PubMed) usando los descriptores “Salud Laboral” y “Servicios de Atención de Salud a Domicilio”. Resultados: Del total de 70 fichas documentales analizadas, se obtuvo que la intensidad de las emociones en los textos era baja (oscilando en valores de 5 a 10), teniendo una mayor representación los sentimientos positivos frente a los negativos en una relación de 60/40. No hubo una variación de las proporciones de las emociones con respecto al período del estudio. Se identificaron los cuatro temas de mayor interés en los artículos analizados: cuidado domiciliario y satisfacción de los cuidadores, período de lactancia, programas de rehabilitación, y actividad física para mitigación del dolor. Conclusiones: Se ha podido constatar que las metodologías del procesado de lenguaje natural pueden ser una gran herramienta de apoyo al análisis de artículos científicos. Concretamente, se ha logrado determinar de manera clara y no supervisada los temas de mayor interés en el campo de la Salud Laboral y la Atención de Salud a Domicilio

    Tendencias y estacionalidad de las búsquedas de información, realizadas a través de Google, sobre síndrome metabólico y salud laboral: estudio infodemiológico

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    Objective: This study aimed to analyse and relate the population interest through information search trends, on Metabolic Syndrome (MS) with the Occupational Health (OH). Method: Ecological and correlational study of the Relative Search Volume (RSV) obtained from Google Trends query, segmented into 3 searched periods concerning antiquity; date of query: September 30, 2023. Results: The lowest mean of the RSV was for the MS Topic (2.23 ± 0.87), albeit there was a positive correlation in the RSV amid MS and OH (R = 0.56; p < 0.05). Association (p < 0.05) was observed between the 3 periods under study, except for the Hypertension and Central Obesity topics, but significantly lower in the current period for the MS and OH Topics. Moderate seasonality was found in the MS topic (KPSS = 0.14; p > 0.05), and significant differences were demonstrated in the information search between developed and undeveloped countries (p > 0.05). Conclusions: Through their information searches, the whole population showed to have a dearth of knowledge of MS than of its component diseases. A relationship was found between the information searches carried out on MS and OH. The study of information search trends may provide useful information on the population’s interest in the disease data, as well as would gradually allow the analysis of differences in popularity, or interest even between different countries.Objetivo: Este estudio tuvo como objetivo analizar y relacionar el interés de la población, a través de tendencias de búsqueda de información, sobre el Síndrome Metabólico (MS) con la Salud Laboral (OH). Método: Estudio ecológico y correlacional del Volumen Relativo de Búsqueda (RSV) obtenido de la consulta de Google Trends, segmentado en 3 períodos buscados relacionados con la antigüedad; fecha de consulta: 30 de septiembre de 2023. Resultados: La media más baja del RSV fue para el tema MS (2,23 ± 0,87), aunque hubo una correlación positiva en el RSV entre MS y OH (R = 0,56; p < 0,05). Se observó asociación (p < 0,05) entre los 3 períodos estudiados, excepto para los temas Hipertensión y Obesidad Central, pero significativamente menor en el período actual para los Temas MS y OH. Se encontró una estacionalidad moderada en el tema MS (KPSS = 0,14; p > 0,05), y se demostraron diferencias significativas en la búsqueda de información entre países desarrollados y no desarrollados (p > 0,05). Conclusiones: A través de sus búsquedas de información, toda la población demostró tener un menor conocimiento sobre la MS que sobre las enfermedades que la componen. Se encontró relación entre las búsquedas de información realizadas sobre MS y OH. El estudio de las tendencias de búsqueda de información puede proporcionar información útil sobre el interés de la población por los datos de enfermedades, así como permitiría gradualmente analizar diferencias en popularidad, o interés incluso entre distintos países

    Trends and Seasonality of Information Searches Carried Out through Google on Nutrition and Healthy Diet in Relation to Occupational Health: Infodemiological Study

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    This study aimed to analyze and relate the population interest through information search trends on Nutrition and Healthy Diet (HD) with the Occupational Health (OH). Ecological and correlational study of the Relative Search Volume (RSV) obtained from Google Trends query, segmented in two searched periods concerning antiquity; date of query: 20 April 2021. The RSV trends for the analyzed three Topics were: Nutrition (R2 = 0.02), HD (R2 = 0.07) and OH (R2 = -0.72). There was a good positive correlation between Nutrition and OH (R = 0.56, p 0.05). There was only a significant relationship between the RSV Topic HD (p < 0.05) for the Developing and Least Developed countries. The data on the analyzed RSV demonstrated diminishing interest in the search information on HD and OH as well as a clearly positive trend change in recent years for Nutrition. A good positive correlation was observed between the RSV of nutrition and OH whereas the correlation between HD and OH was moderate. There were no milestones found that may report a punctual event leading to the improvement of information searches. Temporal dependence was corroborated in the RSV on Nutrition, but not in the other two Topics. Strangely, only an association was found on HD searches between the Developing and Least Developed Countries. The study of information search trends may provide useful information on the population's interest in the disease data, as well as would gradually allow the analysis of differences in popularity, or interest even between different countries. Thus, this information might be used as a guide for public health approaches regarding nutrition and a healthy diet at work.S

    Occupational Health Applied Infodemiological Studies of Nutritional Diseases and Disorders: Scoping Review with Meta-Analysis

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    Objective: to identify and review existing infodemiological studies on nutritional disorders applied to occupational health and to analyse the effect of the intervention on body mass index (BMI) or alternatively body weight (BW). Methods: 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 "Nutrition Disorders, "Occupational Health" and "Infodemiology", applying the filters "Humans" and "Adult: 19+ years". The search was conducted on 29 May 2021. Results: a total of 357 references were identified from the bibliographic database searches; after applying the inclusion and exclusion criteria, a total of 11 valid studies were obtained for the review. Interventions could be categorised into (1) interventions related to lifestyle, physical activity, and dietary changes through education programmes, (2) interventions associated with lifestyle, physical activity, and dietary changes through the use of telemonitoring systems or self-help applications, (3) interventions tied to lifestyle, physical activity, and dietary changes through control and/or social network support groups, and (4) interventions linked to changes in the work environment, including behavioural change training and work environment training tasks. The meta-analysis demonstrated that the heterogeneity present when analysing the results for BMI was 72% (p < 0.01), which decreased to 0% (p = 0.57) when analysing the outcomes for weight, in which case the null hypothesis of homogeneity could be accepted. In all instances, the final summary of the effect was on the decreasing side for both BMI and BW. Conclusions: Despite the high heterogeneity of the results reported, the trend shown in all cases indicates that the intervention methodologies implemented by empowering individuals through Web 2.0 technologies are positive in terms of the problem of overweight. Further implementation of novel strategies to support individuals is needed to overcome obesity, and, at least in the early studies, these strategies seem to be making the necessary change.S

    Tendencias y estacionalidad de las búsquedas de información, realizadas a través de Google, sobre síndrome metabólico y salud laboral: estudio infodemiológico

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    [EN] Objective: This study aimed to analyse and relate the population interest through information search trends, on Metabolic Syndrome (MS) with the Occupational Health (OH). Method: Ecological and correlational study of the Relative Search Volume (RSV) obtained from Google Trends query, segmented into 3 searched periods concerning antiquity; date of query: September 30, 2023. Results: The lowest mean of the RSV was for the MS Topic (2.23 ± 0.87), albeit there was a positive correlation in the RSV amid MS and OH (R = 0.56; p 0.05), and significant differences were demonstrated in the information search between developed and undeveloped countries (p > 0.05). Conclusions: Through their information searches, the whole population showed to have a dearth of knowledge of MS than of its component diseases. A relationship was found between the information searches carried out on MS and OH. The study of information search trends may provide useful information on the population’s interest in the disease data, as well as would gradually allow the analysis of differences in popularity, or interest even between different countries. [ES] Objetivo: Este estudio tuvo como objetivo analizar y relacionar el interés de la población, a través de tendencias de búsqueda de información, sobre el Síndrome Metabólico (MS) con la Salud Laboral (OH). Método: Estudio ecológico y correlacional del Volumen Relativo de Búsqueda (RSV) obtenido de la consulta de Google Trends, segmentado en 3 períodos buscados relacionados con la antigüedad; fecha de consulta: 30 de septiembre de 2023. Resultados: La media más baja del RSV fue para el tema MS (2,23 ± 0,87), aunque hubo una correlación positiva en el RSV entre MS y OH (R = 0,56; p 0,05), y se demostraron diferencias significativas en la búsqueda de información entre países desarrollados y no desarrollados (p > 0,05). Conclusiones: A través de sus búsquedas de información, toda la población demostró tener un menor conocimiento sobre la MS que sobre las enfermedades que la componen. Se encontró relación entre las búsquedas de información realizadas sobre MS y OH. El estudio de las tendencias de búsqueda de información puede proporcionar información útil sobre el interés de la población por los datos de enfermedades, así como permitiría gradualmente analizar diferencias en popularidad, o interés incluso entre distintos países.S
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