Mental Health on Twitter in Turkey: Sentiment Analysis with Transformers DOI
Qamar A. Alshammari, Süreyya Özöğür‐Akyüz

Studies in systems, decision and control, Год журнала: 2023, Номер unknown, С. 391 - 402

Опубликована: Дек. 31, 2023

Язык: Английский

Individual, social and societal resilience factors in the face of societal challenges and crises: A systematic review of adult populations from OECD member states DOI Open Access
Sarah K. Schäfer, Max Supke, Corinna Kausmann

и другие.

Опубликована: Ноя. 8, 2023

Societal challenges put public mental health at risk and result in a growing interest resilience as trajectories of good during stressor exposure. Resilience factors increase the likelihood resilient responses. This systematic review summarizes evidence on predictive value individual, social societal factors. Fifty-one studies reported various stressors (e.g., pandemics). Higher income socioeconomic status, better emotion regulation flexibility were related to Findings mixed for most supporting importance fit between situational demands. Research into is needed.

Язык: Английский

Процитировано

0

Resilience of people with a history of mental disorder during the COVID-19 pandemic: an international 2-years longitudinal prospective study DOI Creative Commons
Irene Pinucci,

Federico Tedeschi,

Riccardo Serra

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Дек. 28, 2023

Abstract BackgroundDuring the COVID-19 pandemic, global population was exposed to a significant psychological distress, however, subgroups of vulnerable individuals proved resilient throughout pandemic. This study aims identify predictors long-term, sustained resilience among people with history mental disorder during first two years pandemic.MethodsIn this international 2-year, 5-wave longitudinal online survey, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale, and PTSD Checklist DSM-5 were used for proxy measure distress. As possible resilience, we investigated socio-demographic characteristics, economic housing status, pandemic-related issues, chronic diseases, social support, fear contamination personal values which respectively through Oslo Social Support Padua Inventory, Portrait Values Questionnaire. Data analysed Mover-Stayer Latent Transition Analysis model.ResultsNine-hundred forty-three participants included in analysis. Variables associated higher chance older age, maintaining job, having more household. In contrast, female gender, losing difficulty meeting basic needs, contamination, hedonism, less support loneliness resulted lower likelihood being resilient.ConclusionThis identified factors that predict disorders. The newly discovered could prove invaluable developing strategies enhance disorders times crises, such as pandemics.

Язык: Английский

Процитировано

0

Mental Health on Twitter in Turkey: Sentiment Analysis with Transformers DOI
Qamar A. Alshammari, Süreyya Özöğür‐Akyüz

Studies in systems, decision and control, Год журнала: 2023, Номер unknown, С. 391 - 402

Опубликована: Дек. 31, 2023

Язык: Английский

Процитировано

0