Perceived Physical and Mental Health and Healthy Eating Habits During the COVID-19 Pandemic in Korea

Tuakli‐Wosornu, Yetsa A.; Pandiyan, Uma; Stratton, Catherine; Hwang, Youngdeok; Hajjıouı, Abderrazak; Muñoz-Velasco, Laura Paulina; Fourtassı, Maryam; Cooper, Rory A.; Balikuddembe, Joseph Kimuli; Peterson, Mark D.; Krassioukov, Andrei V.; Palomba, Angela; Tripathi, Deo Rishi; Hong, Bo Young

doi:10.3346/jkms.2022.37.e118

Cited by 6 publications

(3 citation statements)

References 24 publications

(31 reference statements)

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“…En cuanto a los estilos de vida saludable determinado por el formulario Fantástico, se encontró que, a mayor puntaje en dicha prueba, los puntajes de depresión se sitúan en leve o mínimo, siendo proporcional el EVS con una menor posibilidad de presentar síntomas depresivos. Estos hallazgos son similares a los encontrados (Milojevich & Lukowski (2016); Ruiz-Hernández, Guillén, Pina & Puente-López, (2022); Tuakli-Wosornu, et al, (2022);Ðorðić, et al, (2022)).…”

Section: Discussionunclassified

Árbol de clasificación para la identificación de síntomas asociados a la depresión en estudiantes de una universidad pública (Classification Tree for the Identification of Symptoms Associated with Depression in Students of a Public University)

Amú Ruiz,

Gonzalez Bustamante,

Ortiz González

et al. 2023

Retos

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Introducción: la depresión, un trastorno común que afecta al 5% de la población mundial, ha experimentado un aumento debido a los efectos posteriores a la pandemia de COVID-19. Los estudiantes universitarios, especialmente afectados por el confinamiento durante la pandemia, experimentaron afectaciones en su emocionalidad, rendimiento académico e interacción social. Ya que los árboles de clasificación se han destacado en la predicción de estos eventos en diversos grupos poblacionales, el objetivo de este estudio fue crear una herramienta de identificación de síntomas depresivos basada en árboles de clasificación mediante machine learning. Metodología: se evaluaron 680 estudiantes universitarios antes y después de participar en un programa de ejercicio físico mediado por tecnología durante el segundo semestre de 2020. Se utilizaron los cuestionarios de Depresión de Beck-II y FANTÁSTICO para estilos de vida saludables, así como la herramienta Functional Movement Screening (FMS). La adherencia al programa se midió a través de la asistencia registrada. Un modelo de árbol de clasificación se desarrolló para predecir la depresión cuatro meses después de la evaluación inicial utilizando el paquete de software estadístico R. Resultados: el modelo de árbol de clasificación identificó el puntaje en la prueba de Beck-II inicial, bajo ánimo, la práctica de ejercicio y el puntaje inicial del test Fantástico como las variables predictoras más acertadas. El modelo demostró una sensibilidad del 0.83, una especificidad del 0.72 y una precisión (accuracy) del 0.72. Conclusiones: este modelo puede ser útil para anticipar el comportamiento de la depresión en estudiantes universitarios o como seguimiento para la sintomatología depresiva. Palabras clave: Árbol de Clasificación, Beck-II, Sintomatología Depresiva, Ejercicio Físico, Estilos de vida. Abstract. Introduction: Depression, a common disorder affecting 5% of the global population, has seen an increase due to the aftermath of the COVID-19 pandemic. University students, especially impacted by pandemic-related confinement, experienced disruptions in their emotional well-being, academic performance, and social interactions. Since classification trees have proven effective in predicting these events in various population groups, the objective of this study was to create a tool for identifying depressive symptoms based on classification trees through machine learning. Methodology: 680 university students were assessed before and after participating in a technology-mediated physical exercise program during the second semester of 2020. The Beck's Depression Inventory (BDI-II) and FANTÁSTICO healthy lifestyle questionnaires were implemented, as well as the Functional Movement Screening (FMS) tool. Program adherence was measured through recorded attendance. A classification tree model was developed to predict depression four months after the initial assessment using the statistical software package R. Results: The classification tree model identified that the initial Beck-II test score, low mood, engagement in exercise, and the initial Fantástico checklist score are the most successful predictive variables. The model exhibited sensitivity of 0.83, specificity of 0.72, and accuracy of 0.72. Conclusions: This model can be valuable for anticipating depressive behavior in university students or for monitoring depressive symptomatology. Keywords: Classification Tree; Beck-II; Depressive Symptomatology, Physical Exercise; Lifestyles.

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Section: Discussionunclassified

Árbol de clasificación para la identificación de síntomas asociados a la depresión en estudiantes de una universidad pública (Classification Tree for the Identification of Symptoms Associated with Depression in Students of a Public University)

Amú Ruiz,

Gonzalez Bustamante,

Ortiz González

et al. 2023

Retos

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“…A different study reported a significant increase in the cases of depression (14%) in American (USA) adults during the pandemic with respect to previous years (9%) [18]. In the same vein, even in countries such as Korea, where the perceived physical health was maintained to a great extent thanks to the fact that the government allowed citizens to perform outdoor activities wearing masks and home exercise was promoted through online programmes, mental health was significantly affected [19]. Moreover, a study conducted with a Spanish population reported a decrease in physical activity and greater adherence to the Mediterranean diet during the lockdown [20].…”

Section: Introductionmentioning

confidence: 98%

Physical Activity Levels, Eating Habits, and Well-Being Measures in Students of Healthcare Degrees in the Second Year of the COVID-19 Pandemic

Maté-Muñoz,

Hernández-Lougedo,

Ruiz-Tovar

et al. 2023

Healthcare

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Background: When the first cases of COVID-19 (caused by SARS-CoV-2 virus infection) were discovered, exceptional norms to fight the spread of the virus were established by applying movement restrictions (lockdown) in many countries. These unprecedented norms led to sedentary behaviours and less healthy diets which could persist for much longer after lockdown. The aim of this study was to analyse the physical activity, eating habits, self-perceived well-being, and toxic habits, as well as the perceived changes of these habits with respect to the pre-pandemic period, in a population of university students in the second year of the COVID-19 pandemic. Methods: A single-centre, cross-sectional study was conducted in a population of university students of healthcare degrees. A total of 961 students (639 (66.5%) women and 322 (33.5%) men) signed the informed consent and completed the questionnaire. The study was conducted through an anonymous survey, which was voluntarily self-completed by the students on an online platform. The questionnaire was based on the Spanish Health Survey and it was divided into six main parts: demographic and anthropometric characteristics, physical activity, eating habits, well-being measures (sleeping habits, health state, and stress), toxic habits, and perception of the influence of the COVID-19 pandemic on the variables described. Results and conclusions: The results showed that, during the second year of the pandemic, statistically significant dependence was identified for those students that showed higher levels of physical activity with greater perceived physical activity (p < 0.05), healthier eating habits (p < 0.05), and a better self-perceived health state (p < 0.05), with respect to the 12 months before the COVID-19 pandemic. On the other hand, there was a negative correlation between the sedentary students and greater perceived physical activity (p < 0.05). With regard to toxic habits and physical activity, a significant correlation was only detected between sedentary behaviour and cocaine consumption (p < 0.05). Analysing eating habits, it was observed that the students who smoked, consumed alcohol, and binge drank had low adherence to the Mediterranean diet (p < 0.05). In addition, those students with high stress levels slept less than 7 h (p < 0.05).

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“…They found no significant differences in the physical health and eating habits of individuals with and without disabilities in South Korea during the lockdown. However, they found that perceived mental health was worse during the lockdown for those with and without disabilities ( 16 ). There is a female preponderance in Mexico.…”

Section: Introductionmentioning

confidence: 99%

Impact of the coronavirus (COVID-19) disease pandemic on healthy lifestyle behaviors in persons with and without disabilities in Qatar

Pandiyan,

Sathian,

Kariyathankavil

et al. 2024

Front. Psychiatry

Self Cite

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PurposeThis study aimed to examine the impact of the COVID-19 pandemic on the lifestyle behaviors which included physical activity, sedentariness, healthy eating habits, sleep habits, and tobacco use in persons with and without disabilities in Qatar.MethodsThis cross-sectional study used a structured, online questionnaire. The collected data included demographics, mental health, physical health, eating habits, body weight, sleep, and nicotine intake. This study was conducted between September 25, 2020, and December 31, 2020.ResultsSeventy respondents from Qatar participated in the study. Pre-pandemic healthy lifestyle behaviors (physical activity, healthy diet, sleep, etc.) showed no significant differences between people with and without disabilities. However, perceived changes in mental and physical health and eating habits during the pandemic lockdown differed between people with and without disabilities. People with disabilities reported worsening mental health (64.7%), physical health (53%), and dietary habits compared to the pre-pandemic levels. Furthermore, the more severe the disability, the more significant is its impact on mental and physical health.ConclusionThis study indicated that the pandemic has had a significant impact on the mental and physical health of people with and without disabilities in Qatar. These findings reveal how closely individuals with disabilities and their lifestyle choices are related to their mental and physical well-being. This will enable the development of specific interventions for similar situations in the future.

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Perceived Physical and Mental Health and Healthy Eating Habits During the COVID-19 Pandemic in Korea

Cited by 6 publications

References 24 publications

Árbol de clasificación para la identificación de síntomas asociados a la depresión en estudiantes de una universidad pública (Classification Tree for the Identification of Symptoms Associated with Depression in Students of a Public University)

Árbol de clasificación para la identificación de síntomas asociados a la depresión en estudiantes de una universidad pública (Classification Tree for the Identification of Symptoms Associated with Depression in Students of a Public University)

Physical Activity Levels, Eating Habits, and Well-Being Measures in Students of Healthcare Degrees in the Second Year of the COVID-19 Pandemic

Impact of the coronavirus (COVID-19) disease pandemic on healthy lifestyle behaviors in persons with and without disabilities in Qatar

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