Leveraging Social Media to Predict COVID-induced Disruptions to Mental Wellbeing among University Students: Pilot Study (Preprint) DOI
Vedant Das Swain, Jingjing Ye, Siva Karthik Ramesh

и другие.

Опубликована: Авг. 30, 2023

BACKGROUND Large-scale crisis events such as COVID-19 often have secondary impacts on individuals’ mental well-being. University students are particularly vulnerable to impacts. Traditional survey-based methods identify those in need of support do not scale over large populations and they provide timely insights. We pursue an alternative approach through social media data machine learning. Our models aim complement surveys early, precise, objective predictions disrupted by COVID-19. OBJECTIVE This study aims demonstrate the feasibility language private indicator crisis-induced disruption METHODS modeled 4124 Facebook posts provided 43 undergraduate students, spanning 2 years. extracted temporal trends psycholinguistic attributes their comments. These were used features predict how RESULTS The media–enabled model had F1-score 0.79, which was a 39% improvement trained self-reported state participant. we showed promise predicting other states anxiety, depression, social, isolation, suicidal behavior (F1-scores varied between 0.85 0.93). also found that selecting windows time 7 months after COVID-19–induced lockdown presented better results, therefore, paving way for minimization. CONCLUSIONS predicted disruptions well-being developing learning leveraged media. these described students’ online behavior. longitudinal helped than correlated health questionnaires. work inspires further research into potential applications automatic warnings individuals concerned about times crisis.

Язык: Английский

Occupational Burnout and Insomnia in Relation to Psychological Resilience Among Greek Nurses in the Post-Pandemic Era DOI Creative Commons

Christos Sikaras,

Argyro Pachi,

Sofia Alikanioti

и другие.

Behavioral Sciences, Год журнала: 2025, Номер 15(2), С. 126 - 126

Опубликована: Янв. 24, 2025

Recent studies indicate that nurses experienced high levels of occupational burnout and insomnia during after the pandemic highlight resilience as a crucial competence for overcoming adversity. The aim this study was to assess burnout, insomnia, psychological explore their interrelations among Greek 14 months official ending which declared in May 2023. conducted online July 2024 included 380 currently working hospitals, who completed Copenhagen Burnout Inventory (CBI), Athens Insomnia Scale (AIS), Brief Resilience (BRS). Overall, 56.1% exhibited symptoms 46.8% displayed signs burnout. Low scores were observed 26.3%. Multiple regression analysis indicated CBI explained 34.4% variance AIS scores, while an additional 3% by BRS. Mediation revealed operates protectively negative mediator relationship between insomnia. In conclusion, one year end remain high, whereas seems be retained at moderate levels. Consequently, there is urgent need regularly monitor risk implement resilience-building strategies combat improve symptoms.

Язык: Английский

Процитировано

2
Stress, Anxiety and Depressive Symptoms, Burnout and Insomnia Among Greek Nurses One Year After the End of the Pandemic: A Moderated Chain Mediation Model DOI Open Access
Argyro Pachi,

Christos Sikaras,

Dimitrios Melas

и другие.

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(4), С. 1145 - 1145

Опубликована: Фев. 10, 2025

Background/Objectives: Several studies have reported alarming rates of mental health issues and sleep problems among nurses even in the post-pandemic era. The objective was to investigate prevalence stress, anxiety depressive symptoms, burnout insomnia Greece one year after end pandemic construct a mediation model evaluating impact stress on insomnia, chain mediating roles symptoms burnout, as well moderating role model. Methods: This cross-sectional study conducted online July 2024 included 380 hospital who completed Depression Anxiety Stress Scale (DASS-21), Copenhagen Burnout Inventory (CBI) Athens Insomnia (AIS). Results: were 33.9% with 95% confidence interval (CI): [0.292, 0.390], 33.3% (95% CI: [0.284, 0.381]), 35% [0.302, 0.400]), 46.8% [0.399, 0.502]) 56.1% [0.509, 0.611]), respectively. Multiple regression analysis indicated that subscale DASS-21 explained 40.6% variance AIS, while an additional 7.6% by CBI another 1.3% rate DASS-21. Mediation revealed affected both directly indirectly through burnout. moderated path enhancing negative symptoms. Conclusions: proposed introduces certain factors influencing explains how changes any these effectuate other factors, offering insights for individualized interventions.

Язык: Английский

Процитировано

1
Experiencias de control de peso y necesidades de pacientes obesos y de edad reproductiva con síndrome de ovario poliquístico en China: un estudio cualitativo DOI Creative Commons
Hong Jiang,

Min Luo,

Hongjin Wu

и другие.

Revista da Escola de Enfermagem da USP, Год журнала: 2025, Номер 59

Опубликована: Янв. 1, 2025

RESUMEN Objetivo: Explorar las experiencias de control peso y necesidades pacientes obesos edad reproductiva con síndrome ovario poliquístico (SOP) en China. Métodos: Trece fueron reclutados un hospital terciario la provincia Sichuan. Entrevistas estructuradas cara a realizadas usando método fenomenológico, resultados analizados siguiendo los siete pasos metodología Colaizzi. Resultados: Los métodos claves identificados el incluyeron medicación, dieta, ejercicio, corrección del hábito. Las actitudes afrontamiento variadas, algunos exhibiendo respuestas positivas o negativas. revelaron adherencia corto plazo al dieta pero dificultad mantenimiento rutinas ejercicio. expresaron necesidad apoyo por parte personal médico familia, así como interés medicamentos medicina tradicional China para ayudar perder peso. Conclusión: perspectivas manejo SOP pueden guiar abordar estos desafíos. La atención bienestar emocional familias durante es crucial intervención efectiva.

Процитировано

0
Weight management experiences and needs in obese polycystic ovary syndrome patients of childbearing age in China: a qualitative study DOI Creative Commons
Hong Jiang,

Min Luo,

Hongjin Wu

и другие.

Revista da Escola de Enfermagem da USP, Год журнала: 2025, Номер 59

Опубликована: Янв. 1, 2025

ABSTRACT Objective: To explore the weight management experiences and needs of obese polycystic ovary syndrome patients reproductive age in China. Method: Thirteen were recruited from a tertiary hospital Sichuan province. Face-to-face structured interviews conducted using phenomenological approach, with data analyzed via Colaizzi seven-step method. Results: Key methods identified included medication, diet, exercise, habit correction. Coping attitudes varied, some exhibiting positive or negative responses. Experiences revealed short-term adherence to dietary control but difficulty maintaining exercise routines. Patients expressed need for support medical staff family, as well interest medications traditional Chinese medicine aid loss. Conclusion: Insights into PCOS can guide addressing these challenges. Attention patients' families' emotional well-being during is also crucial effective intervention.

Язык: Английский

Процитировано

0
Nightmare distress, insomnia and resilience of nursing staff in the post-pandemic era DOI Creative Commons
Argyro Pachi, Athanasios Tselebis,

Christos Sikaras

и другие.

AIMS Public Health, Год журнала: 2023, Номер 11(1), С. 36 - 57

Опубликована: Дек. 20, 2023

The pandemic has led to notable psychological challenges among healthcare professionals, including nurses.

Язык: Английский

Процитировано

9
Leveraging Social Media to Predict COVID-induced Disruptions to Mental Wellbeing among University Students: Pilot Study (Preprint) DOI Creative Commons
Vedant Das Swain, Jingjing Ye, Siva Karthik Ramesh

и другие.

JMIR Formative Research, Год журнала: 2024, Номер 8, С. e52316 - e52316

Опубликована: Апрель 12, 2024

Large-scale crisis events such as COVID-19 often have secondary impacts on individuals' mental well-being. University students are particularly vulnerable to impacts. Traditional survey-based methods identify those in need of support do not scale over large populations and they provide timely insights. We pursue an alternative approach through social media data machine learning. Our models aim complement surveys early, precise, objective predictions disrupted by COVID-19.

Язык: Английский

Процитировано

2
Resilience, Anger, and Insomnia in Nurses after the End of the Pandemic Crisis DOI Creative Commons
Argyro Pachi,

Ασπασία Παναγιώτου,

Nikolaos Soultanis

и другие.

Epidemiologia, Год журнала: 2024, Номер 5(4), С. 643 - 657

Опубликована: Окт. 10, 2024

Nurses seem to be persistently experiencing intense psychological repercussions, even after the official conclusion of COVID-19 pandemic. In this cross-sectional study conducted end pandemic crisis, from 1 June 2023 30 2023, we evaluated levels and explored associations between anger, insomnia, resilience among Greek nurses.

Язык: Английский

Процитировано

2
Leveraging Social Media to Predict COVID-induced Disruptions to Mental Wellbeing among University Students: Pilot Study (Preprint) DOI
Vedant Das Swain, Jingjing Ye, Siva Karthik Ramesh

и другие.

Опубликована: Авг. 30, 2023

BACKGROUND Large-scale crisis events such as COVID-19 often have secondary impacts on individuals’ mental well-being. University students are particularly vulnerable to impacts. Traditional survey-based methods identify those in need of support do not scale over large populations and they provide timely insights. We pursue an alternative approach through social media data machine learning. Our models aim complement surveys early, precise, objective predictions disrupted by COVID-19. OBJECTIVE This study aims demonstrate the feasibility language private indicator crisis-induced disruption METHODS modeled 4124 Facebook posts provided 43 undergraduate students, spanning 2 years. extracted temporal trends psycholinguistic attributes their comments. These were used features predict how RESULTS The media–enabled model had F1-score 0.79, which was a 39% improvement trained self-reported state participant. we showed promise predicting other states anxiety, depression, social, isolation, suicidal behavior (F1-scores varied between 0.85 0.93). also found that selecting windows time 7 months after COVID-19–induced lockdown presented better results, therefore, paving way for minimization. CONCLUSIONS predicted disruptions well-being developing learning leveraged media. these described students’ online behavior. longitudinal helped than correlated health questionnaires. work inspires further research into potential applications automatic warnings individuals concerned about times crisis.

Язык: Английский

Процитировано

0