Prevalencia y factores asociados a la sintomatología depresiva en mujeres con cáncer de mama en un hospital público de Lima, Perú

Berrospi-Reyna, Silvia; Herencia-Souza, Mónica; Soto, Alonso

doi:10.35663/amp.2017.342.316

Cited by 7 publications

(8 citation statements)

References 12 publications

(26 reference statements)

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“…On the other hand, although in chronic disease the development of emotional disorders is likely, there is evidence that emotional disorders contribute to the development of chronic diseases, for example, a study concluded that the greater the depressive symptoms and anxiety, the greater the probability. The fact that the person is diagnosed with AH 5 years later than 7 and, on the other hand, a greater number of prescribed medications, is considered a risk factor in the development of depressive symptoms in patients with AH 8 .…”

Section: Introductionmentioning

confidence: 99%

The network structure of depressive symptomatology in Peruvian adults with arterial hypertension

2021

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Background: Globally, arterial hypertension (AH) has increased by 90% over the last four decades, and has increased by 1.6% in Peru over the previous four years. Scientific evidence indicates the prevalence of depressive symptoms in patients with AH and its importance in the comprehensive evaluation of the adult for adherence to clinical treatment. Previous studies carried out in the Peruvian population with AH mostly report the prevalence and associations, but do not indicate which depressive symptoms are more relevant in patients with AH. This study involved a network analysis of depressive symptomatology in Peruvian patients with AH using network estimation. Network analysis is used in this study for analysis, control, and monitoring purposes. Method: A representative cross-sectional study at the national level, using secondary data from 2019 Demographic and Family Health Survey (ENDES) was performed. The sample used included men and women of age over 17 years diagnosed with AH and was able to respond to Patient Health Questionnaire-9 (PHQ-9). Results: The symptoms of depressive mood (bridging force and centrality) and energy fatigue or loss (bridge centrality) play an essential role in the network structure, as does the feeling of uselessness in terms of closeness and intermediation. Conclusion: The study highlighted the symptoms related to depressive mood and energy fatigue or loss as bridging symptoms, which could trigger a depressive episode in patients diagnosed with AH. The results will contribute to developing personalized treatments aimed at patients with specific depressive symptoms who have also been diagnosed with AH. The study analysis presents statistical coefficients of effect size (≤ 0,1 = small; > 0,1 to < 0,5 = moderate; ≥ 0,5 = large) to determine network connections.

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Section: Introductionmentioning

confidence: 99%

The network structure of depressive symptomatology in Peruvian adults with arterial hypertension

2021

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“…La incidencia anual estimada de cáncer de mama en el Perú es de 28 casos por 100,000 habitantes, la tasa de mortalidad anual es de 8.5 casos por 100, 000 habitantes. Esta neoplasia es la segunda más frecuente en mujeres, con un 16,2% y es la tercera causa de mortalidad por cáncer (8,7%) [3].…”

Section: Introductionunclassified

Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático

Quintanilla¹,

Medina²,

Sulla-Torres³

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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The prediction of breast cancer through biomarkers is proposed through machine learning, in order to minimize the waiting time that exists at the time a cancer is discarded due to the different factors that exist in our national reality. For this, a Neural Network has been used, which is an Automatic Learning algorithm that allowed us to make the prediction. The results showed that with the developed design of the Neural Network an accuracy of 82.76% was obtained, likewise, a prototype was built that allowed validating the proposal, with which it can be concluded that the Neural Network is an adequate algorithm to be used for Complementary to the prediction of breast cancer through biomarkers and that the developed prototype serves those interested in the oncology field.

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“…Almanza-Muñoz y Holland (2000) plantean que, aunque el diagnóstico de cáncer se ha logrado enfrentar con mayor optimismo, se cursa con ansiedad y depresión; donde el contexto y servicios médicos son importantes para el afrontamiento. En cuanto al contexto, se ha encontrado que el grado de depresión es diferente de acuerdo con el nivel de escolaridad (Berrospi-Reyna et al, 2017); y es similar tanto en los que reportaron trabajar como en aquellos que se encuentran desempleados; y es similar en personas solteras, viudas, casadas o divorciadas (Lerma-Talamantes et al, 2017).…”

Section: Introductionunclassified

Diferencias en la ansiedad y depresión por variables contextuales en mujeres con cáncer de mama

García-Hernández

López-Guevara

Cano-Fajardo

et al. 2020

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Objetivo. Identificar las diferencias en la ansiedad y depresión de acuerdo con variables contextuales en mujeres con cáncer de mama que se encuentran bajo tratamiento. Método. Estudio comparativo realizado en 91 mujeres con cáncer de mama, en tres unidades de atención del Noreste de México. Se utilizó la Escala Hospitalaria de Ansiedad y Depresión. Resultados. El 51.6% (f = 47) resultó con ansiedad y el 25.3% (f = 23) depresión. La ansiedad y depresión no es diferente de acuerdo con el grado de escolaridad (p > .05) y estado civil (p > .05). La depresión (p = .001) y ansiedad (p =.05) es diferente de acuerdo con la unidad de atención. Se concluye que es importante cuidar el estado emocional de las pacientes con cáncer, ya que se observó que la mitad de las pacientes presentaron ansiedad y una cuarta parte depresión. Es necesario analizar el contexto, ya que la depresión y ansiedad son diferentes de acuerdo con la unidad de atención.

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Prevalencia y factores asociados a la sintomatología depresiva en mujeres con cáncer de mama en un hospital público de Lima, Perú

Cited by 7 publications

References 12 publications

The network structure of depressive symptomatology in Peruvian adults with arterial hypertension

The network structure of depressive symptomatology in Peruvian adults with arterial hypertension

Predicción de cáncer de mama a través de biomarcadores mediante aprendizaje automático

Diferencias en la ansiedad y depresión por variables contextuales en mujeres con cáncer de mama

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