Personal, social and relational predictors of UK postgraduate researcher mental health problems. Issue 6 (15th November 2021)
- Record Type:
- Journal Article
- Title:
- Personal, social and relational predictors of UK postgraduate researcher mental health problems. Issue 6 (15th November 2021)
- Main Title:
- Personal, social and relational predictors of UK postgraduate researcher mental health problems
- Authors:
- Berry, Clio
Niven, Jeremy E.
Hazell, Cassie M. - Abstract:
- Abstract : Background: Emerging evidence demonstrates that postgraduate researchers have high rates of mental health problems. These problems are distressing, affect PhD studies, and have longer-term potential effects beyond the duration of the PhD. Yet large-scale studies of multiple risk and protective factors are rare. Aims: We aimed to test the predictive validity of a comprehensive set of potential determinants of mental health symptoms (depression, anxiety and suicidality) among postgraduate researchers in the UK, including personal, study-related, and supervision characteristics. Method: We used regression models applied to data obtained from a national online survey of UK postgraduate researchers (Understanding DOCtoral researcher mental health; U-DOC, 2018–2019) to test predictors of mental health symptoms. Results: These models show that postgraduate researchers' mental health symptoms are predicted by demographic, occupational, psychological, social and supervisory relationship factors. Greater perfectionism, more impostor thoughts and reduced supervisory communion most strongly and consistently predict mental health symptoms. Conclusions: Institutions training postgraduate researchers should focus interventions intended to improve depression, anxiety, suicidality, on self-beliefs and social connectedness. Moreover, supervisors should be provided with training that improves the degree of agency, and especially communion, in the relationships they form withAbstract : Background: Emerging evidence demonstrates that postgraduate researchers have high rates of mental health problems. These problems are distressing, affect PhD studies, and have longer-term potential effects beyond the duration of the PhD. Yet large-scale studies of multiple risk and protective factors are rare. Aims: We aimed to test the predictive validity of a comprehensive set of potential determinants of mental health symptoms (depression, anxiety and suicidality) among postgraduate researchers in the UK, including personal, study-related, and supervision characteristics. Method: We used regression models applied to data obtained from a national online survey of UK postgraduate researchers (Understanding DOCtoral researcher mental health; U-DOC, 2018–2019) to test predictors of mental health symptoms. Results: These models show that postgraduate researchers' mental health symptoms are predicted by demographic, occupational, psychological, social and supervisory relationship factors. Greater perfectionism, more impostor thoughts and reduced supervisory communion most strongly and consistently predict mental health symptoms. Conclusions: Institutions training postgraduate researchers should focus interventions intended to improve depression, anxiety, suicidality, on self-beliefs and social connectedness. Moreover, supervisors should be provided with training that improves the degree of agency, and especially communion, in the relationships they form with postgraduate researchers. … (more)
- Is Part Of:
- BJPsych open. Volume 7:Issue 6(2021)
- Journal:
- BJPsych open
- Issue:
- Volume 7:Issue 6(2021)
- Issue Display:
- Volume 7, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 7
- Issue:
- 6
- Issue Sort Value:
- 2021-0007-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11-15
- Subjects:
- Doctoral students -- depressive disorders -- suicidality -- supervision -- higher education
Psychiatry -- Periodicals
Mental health -- Periodicals
616.89005 - Journal URLs:
- http://bjpo.rcpsych.org/ ↗
- DOI:
- 10.1192/bjo.2021.1041 ↗
- Languages:
- English
- ISSNs:
- 2056-4724
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 19728.xml