Sleep problem, suicide and self-harm in university students: A systematic review

Russell, Kirsten; Allan, Stephanie; Beattie, Louise; Bohan, Jason; Macmahon, Kenneth; Rasmussen, Susan

doi:10.1016/j.smrv.2018.12.008

Cited by 129 publications

(84 citation statements)

References 74 publications

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“…Although the student population is an important group to study due to relatively high levels of suicidal behaviour within this group (Russell et al, 2019), it is also necessary to extend studies to a wider population to increase the generalizability of results -as the student population is not representative of the general population. Therefore, the current study aimed to recruit from a wider population by utilizing a wide range of sources.…”

Section: Discussionmentioning

confidence: 99%

Distinguishing suicide ideation from suicide attempts: Further test of the Integrated Motivational-Volitional Model of Suicidal Behaviour

Branley-Bell

O’Connor

Green

et al. 2019

Journal of Psychiatric Research

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Distinguishing suicide ideation from suicide attempts: Further test of the Integrated Motivational-Volitional Model of Suicidal Behaviour Suicidal behaviour poses a significant public health concern. Research into the factors that distinguish between the emergence of suicide ideation and the enactment of a suicide attempt is crucial. This study tests central tenets of the Integrated Motivational-Volitional Model of suicidal behaviour (IMV, O'Connor & Kirtley, 2018) which posits that volitional phase factors govern the transition from thinking to attempting suicide. 299 adults completed a face-to-face interview and were allocated to groups based on their suicidal history: Suicide attempt group (N = 100), suicide ideation group (N = 105), and a control group (N = 94). Measures were taken at baseline, at 1-month and 6-months follow-up. As predicted, the attempt group differed from the ideation group on all volitional phase factors. Those who had attempted suicide reported higher capability for suicide, were more likely to have a family member or friend who had self-injured or attempted suicide, and were more impulsive. In keeping with the IMV model, the ideation and attempt groups had similar scores on the motivational factors. Defeat and entrapment were significant predictors of ideation at baseline, and mediation analyses indicated that defeat had an indirect effect on ideation through entrapment at baseline and at 1-month follow-up. The results support the IMV model and suggest that entrapment should be routinely included in suicide risk assessments. Further research to test predictors of the transition from suicide ideation to suicide attempts is crucial to inform future intervention development and health care delivery.

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Section: Discussionmentioning

confidence: 99%

Distinguishing suicide ideation from suicide attempts: Further test of the Integrated Motivational-Volitional Model of Suicidal Behaviour

Branley-Bell

O’Connor

Green

et al. 2019

Journal of Psychiatric Research

View full text Add to dashboard Cite

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“…Current definitions acknowledge that many nightmares are not followed by an awakening (American Psychiatric Association, 2013). While occasional nightmares are common and harmless, frequent nightmares have been associated with other sleep problems (Zadra and Donderi, 2000), symptoms of depression (Li et al, 2010), and even increased risk of suicide (Russell et al, 2019). Idiopathic nightmares can contain events and themes that reflect daytime experiences, but they are rarely repetitive or replicate events accurately (Gieselmann et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Pandemic Dreams: Network Analysis of Dream Content During the COVID-19 Lockdown

et al. 2020

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We used crowdsourcing (CS) to examine how COVID-19 lockdown affects the content of dreams and nightmares. The CS took place on the sixth week of the lockdown. Over the course of 1 week, 4,275 respondents (mean age 43, SD = 14 years) assessed their sleep, and 811 reported their dream content. Overall, respondents slept substantially more (54.2%) but reported an average increase of awakenings (28.6%) and nightmares (26%) from the pre-pandemic situation. We transcribed the content of the dreams into word lists and performed unsupervised computational network and cluster analysis of word associations, which suggested 33 dream clusters including 20 bad dream clusters, of which 55% were pandemic-specific (e.g., Disease Management, Disregard of Distancing, Elderly in Trouble). The dream-association networks were more accentuated for those who reported an increase in perceived stress. This CS survey on dream-association networks and pandemic stress introduces novel, collectively shared COVID-19 bad dream contents.

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“…Introduction: Multiple recent systematic reviews suggest that sleepwake disturbances are associated with increased suicidality [1][2][3].…”

Section: University Of Sydney Camperdown Australiamentioning

confidence: 99%

Associations between suicidality and subjective and objective sleep‐wake disturbances in young people with mood disorders

2019

Journal of Sleep Research

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Sleep problem, suicide and self-harm in university students: A systematic review

Abstract: Word count: 9344 (including reference list, figure and tablehigher word count has been approved in communication with the editorial team).

Cited by 129 publications

References 74 publications

Distinguishing suicide ideation from suicide attempts: Further test of the Integrated Motivational-Volitional Model of Suicidal Behaviour

Distinguishing suicide ideation from suicide attempts: Further test of the Integrated Motivational-Volitional Model of Suicidal Behaviour

Pandemic Dreams: Network Analysis of Dream Content During the COVID-19 Lockdown

Associations between suicidality and subjective and objective sleep‐wake disturbances in young people with mood disorders

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