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Teng-teng Fan

Datos Biográficos

ID10024641
NOMBRETeng-teng Fan
NOMBRESTeng-teng
APELLIDOFan
FIRMAFAN T
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS0
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • Burnout, emotional distress and sleep quality among Chinese psychiatric healthcare workers during the Covid-19 pandemic

    Open Access•Nana Xiong, Na-na Xiong et al.•ARTICLE•Frontiers in Public Health•2023

    Background: Different from the very early stages of the COVID-19 pandemic, burnout and chronic mental health problems among health care workers (HCWs) has become a challenge. Research is lacking on the relationship between burnout, stress, emotional distress and sleep quality. Methods: The Chinese center has been involved in the Cope-Corona project since the second survey (T2). Named after the project, a total of three cross-sectional surveys wer…

  • Workplace factors can predict the stress levels of healthcare workers during the Covid-19 pandemic

    Open Access•Anne‐Claire Lukaszewicz, Na-na Xiong et al.•ARTICLE•Frontiers in Public Health•2022

    To relieve the high stress of health care workers, organizational-level approaches should be implemented, especially measures designed to enhance support, health/safety in the workplace, and to reduce the rejection of the public

  • Identifying Modifiable Risk Factors for Relapse in Patients With Schizophrenia in China

    Open Access•Wei-feng Mi, Xiaohong Chen et al.•ARTICLE•Frontiers in Psychiatry•2020

    For schizophrenic patients discharged from hospital, who had good medication adherence, more higher household income, be employed and normal ability of daily living, would be less likely to relapse. Decision tree provides a new path for doctors to find the schizophrenic inpatient's relapse risk and give them reasonable treatment suggestions after discharge

Sin obras prominentes en esta página.

  • Identifying Modifiable Risk Factors for Relapse in Patients With Schizophrenia in China

    Open Access•Wei-feng Mi, Xiaohong Chen et al.•ARTICLE•Frontiers in Psychiatry•2020

    For schizophrenic patients discharged from hospital, who had good medication adherence, more higher household income, be employed and normal ability of daily living, would be less likely to relapse. Decision tree provides a new path for doctors to find the schizophrenic inpatient's relapse risk and give them reasonable treatment suggestions after discharge

  • Workplace factors can predict the stress levels of healthcare workers during the Covid-19 pandemic

    Open Access•Anne‐Claire Lukaszewicz, Na-na Xiong et al.•ARTICLE•Frontiers in Public Health•2022

    To relieve the high stress of health care workers, organizational-level approaches should be implemented, especially measures designed to enhance support, health/safety in the workplace, and to reduce the rejection of the public

  • Burnout, emotional distress and sleep quality among Chinese psychiatric healthcare workers during the Covid-19 pandemic

    Open Access•Nana Xiong, Na-na Xiong et al.•ARTICLE•Frontiers in Public Health•2023

    Background: Different from the very early stages of the COVID-19 pandemic, burnout and chronic mental health problems among health care workers (HCWs) has become a challenge. Research is lacking on the relationship between burnout, stress, emotional distress and sleep quality. Methods: The Chinese center has been involved in the Cope-Corona project since the second survey (T2). Named after the project, a total of three cross-sectional surveys wer…

Medicine (2 obras) · Psychiatry (2 obras) · Anxiety (1 obra) · Burnout (1 obra) · Clinical Psychology (1 obra) · COVID-19 and Mental Health (1 obra) · COVID-19 Pandemic Impacts (1 obra) · Cross-sectional study (1 obra) · Distress (1 obra) · Economic and Social Development (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae