Browsing by Author "Hasking P"

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Comorbidity and temporal associations between mental disorders among college students in the world mental health international college student initiative
    (Elsevier B V, 2025-09-01) Roest AM; de Vries YA; Pozuelo JR; Petukhova MV; Lee S; Sampson NA; Albor Y; Alhadi AN; Alonso J; Al-Saud N; Altwaijri Y; Andersson C; Atwoli L; Auerbach RP; Muaka CA; Báez-Mansur PM; Ballester L; Bantjes J; Baumeister H; Bendtsen M; Benjet C; Berman AH; Bruffaerts R; Carrasco P; Chan SCN; Cohut I; Couder MAC; Crockett MA; Cuijpers P; David OA; Dong D; Ebert DD; Gaete J; Forero CG; Gili M; Gutiérrez-García R; Haro JM; Hasking P; Hunt X; Husky MM; Jaguga F; Langer ÁI; Léniz I; Liu Y; Mac-Ginty S; Martínez V; McLafferty M; Miranda A; Monroy-Velasco IR; Murray EK; Musyoka CM; Nedelcea C; Núñez D; O'Neill SM; Piqueras JA; Popescu CA; Prescivalli AP; Rapsey C; Robinson K; Rodriguez-Jimenez T; Saal W; Siu O-L; Stein DJ; Struijs SY; Tomoiaga CT; Valdés-García KP; Vargas-Contreras E; Vigo DV; Wang AY; Wong SYS; Kessler RC; World Mental Health International College Student collaborators
    Background: Mental disorders are highly prevalent among students worldwide. This study aims to examine comorbidity and temporal associations between mental disorders among students. Methods: The study included 72,288 students from 18 countries as part of the World Mental Health International College Student (WMH-ICS) Initiative, with cross-sectional data collected between 2017 and 2023. Screening for common DSM-5 disorders was conducted using validated screening measures. Latent variables were examined using exploratory principal axis factor analysis on a correlation matrix among the lifetime mental disorders. Based on age-of-onset information, multivariable poisson regression models were used to examine associations of prior disorders with the first onset of other disorders. Results: 27.0 % of students screened positive for only one lifetime disorder, 17.1 % for two, 10.9 % for three, and 10.6 % for 4+ disorders. In the factor analysis, three latent variables were found, comprising: internalizing disorders (generalized anxiety disorder, major depressive episode, post-traumatic stress disorder, and panic disorder), substance use disorders (drug use disorder and alcohol use disorder), and externalizing disorders (attention deficit/hyperactivity disorder and mania/hypomania). Prior internalizing and externalizing disorders were associated with the subsequent first onset of all other disorders with risk ratios ranging from 1.5–7.5. Substance use disorders were less consistently associated with the subsequent first onset of other disorders, but alcohol use disorder was associated with the first onset of drug use disorder and vice versa. Conclusions: Mental disorder comorbidity is common among students, and students with disorders across the internalizing and externalizing spectrum have an increased risk of future mental disorder comorbidities.
  • Thumbnail Image
    Item
    Implementation of a Universal Screening and Referral Program for University Students at Risk of Suicide: A Case Study and Recommendations
    (Australian and New Zealand Student Services Association, 2025-04-01) Hasking P; Robinson K; Tonta K
    Background: University students are at heightened risk of suicide and are reluctant to reach out for support. Traditional risk assessment approaches are unreliable, prompting calls for psychosocial assessments with multivariable algorithms grounded in person-centred approaches. This paper outlines considerations in implementing one such program, identifying potential implementation barriers and offering recommendations for minimising them. Method: We conducted three surveys with university staff and students (total N = 672) to assess acceptability of a preventative screening and referral program. Participants were also asked to identify barriers to implementing such a program within university settings. Results: Staff and students thought universal screening and referral would be acceptable, and important to implement. Identified barriers included privacy, risk and liability, appropriate resourcing, and cultural appropriateness. Conclusion: Universal preventative screening and referral for suicide risk among university students is a feasible, and scalable, means of identifying students at risk and offering support before they reach crisis point. Identifying barriers early, and having strategies to minimise them, can ease the way to successful implementation.
  • Thumbnail Image
    Item
    The associations of childhood adversities and mental disorders with suicidal thoughts and behaviors - Results from the World Mental Health International College Student Initiative
    (Elsevier B V, 2025-08-01) Mortier P; Yang X; Altwaijri YA; Holdcraft JA; Lee S; Sampson NA; Albor Y; Alhadi AN; Alonso J; Al-Saud NK; Andersson C; Atwoli L; Auerbach RP; Muaka CA; Báez-Mansur PM; Ballester L; Bantjes J; Baumeister H; Bendtsen M; Benjet C; Berman AH; Bruffaerts R; Carrasco P; Chan SCN; Cohut I; Covarrubias Díaz Couder MA; Crockett MA; Cuijpers P; David OA; Dong D; Ebert DD; Gaete J; Felez-Nobrega M; García Forero C; Gili M; Gutiérrez-García RA; Haro JM; Hasking P; Hunt X; Husky MM; Jaguga F; Jansen L; Langer ÁI; Liu Y; Mac-Ginty S; Martínez V; Mason A; Mathai M; McLafferty M; Miranda-Mendizabal A; Murray EK; Musyoka CM; O'Neill SM; Papasteri CC; Piqueras JA; Popescu CA; Rapsey C; Robinson K; Rodriguez-Jimenez T; Scarf D; Siu O-L; Stein DJ; Struijs SY; Tomoiaga CT; Valdés-García KP; Vereecke S; Vigo DV; Wang AY; Wong SYS; Kessler RC; World Mental Health International College Student collaborators
    Objective: To investigate the associations of demographic variables, childhood adversities (CAs), and mental disorders (MDx) with onset, transition, and persistence of suicidal thoughts and behaviors (STB) among first-year university students. Method: Poisson regression models within a discrete-time survival framework were constructed using web-based self-report survey data from 72,288 incoming university students across 18 countries (response rate=20.9%; median age=19 years, 57.9% female, 1.4% transgender, 21.0% non-heterosexual). These models examined the associations of four demographic variables, five CAs, and eight MDx with STB outcomes. Results: Lifetime prevalence of suicidal ideation, plans, and attempts was 47.0%, 26.0%, and 9.6%, respectively; 12-month estimates were 30.6%, 14.0%, and 2.3%. In unadjusted analyses, associations were strongest between lifetime onset of suicidal ideation and CAs (RR range 4.4–7.0), particularly parental psychopathology (relative risk [RR]=7.0 [95% CI 6.5–7.7]), followed by MDx (RR range 1.3–3.0). Of the demographic subgroups, transgender students had highest risk of STB (lifetime ideation onset RR=2.4 [2.3–2.6]; ideation-to-attempt transition RR=1.5 [1.3–1.8]). In fully adjusted models, strongest predictors of lifetime ideation onset were emotional abuse (RR=2.1 [1.9–2.2]), major depressive disorder (RR=2.0 [1.9–2.1]), and bipolar disorder (RR=1.8 [1.6–2.0]). Ideation-to-attempt transition remained most strongly associated with panic disorder (RR=1.5 [1.3–1.7]), bipolar disorder (RR=1.4 [1.2–1.7]), and sexual abuse (RR=1.4 [1.2–1.7]). Most predictors were significantly but weakly associated with persistence of ideation and plan, while only physical abuse remained associated with repeated suicide attempts (RR=1.3 [1.0–1.8]). Conclusion: CAs and MDx are strong predictors of both onset of and transition within the STB spectrum, underscoring the importance of implementing early-life prevention interventions.
  • Thumbnail Image
    Item
    The relationships between sporadic and repetitive non-suicidal self-injury and mental disorders among first-year college students: results from the World Mental Health International College Student Initiative
    (Cambridge University Press, 2025-09-25) Hasking P; Kiekens G; Petukhova MV; Albor Y; Al-Hadi A; Alonso J; Al-Saud N; Altwaijri Y; Andersson C; Atwoli L; Muaka CA; Báez-Mansur P; Ballester L; Bantjes J; Baumeister H; Bendtsen M; Benjet C; Berman A; Bruffaerts R; Carrasco P; Chan S; Cohut I; Couder MCD; Cristóbal-Narvaez P; Cuijpers P; David O; Dong D; Ebert D; Gaete J; Forero CG; Gutiérrez-García R; Haro J; Hunt X; Hurks P; Husky M; Jaguga F; Jansen L; Jiménez-Pérez A; Kählke F; Klinkenberg E; Langer Á; Lee S; Lima RA; Liu Y; Lochner C; Mac-Ginty S; Martínez V; Mason A; McLafferty M; Mori T; Murray E; Musyoka C; Nedelcea C; Núñez D; O’Neill S; Piqueras J; Popescu C; Rapsey C; Robinson K; Roca M; Rodriguez-Jimenez T; Salemink E; Sampson N; Scarf D; Siu O-L; Stein D; Struijs SY; Tomoiaga C; Valdés-García K; van der Heijde C; Vigo D; Voorspoels W; Wang A; Wong S; Nock M; Kessler R; World Mental Health - International College Student collaborators
    Background. Non-suicidal self-injury (NSSI) is associated with mental disorders, yet work regarding the direction of this association is inconsistent. We examined the prevalence, comorbidity, time–order associations with mental disorders, and sex differences in sporadic and repetitive NSSI among emerging adults. Methods. We used survey data from n = 72,288 first-year college students as part of the World Mental Health-International College Student Survey Initiative (WMH-ICS) to explore time–order associations between onset of NSSI and mental disorders, based on retrospective age-of-onset reports using discrete-time survival models. We distinguished between sporadic (1–5 lifetime episodes) and repetitive (≥6 lifetime episodes) NSSI in relation to DSM-5 mood, anxiety, and externalizing disorders. Results. We estimated a lifetime NSSI rate of 24.5%, with approximately half reporting sporadic NSSI and half repetitive NSSI. The time–order associations between onset of NSSI and mental disorders were bidirectional, but mental disorders were stronger predictors of the onset of NSSI (median RR = 1.94) than vice versa (median RR = 1.58). These associations were stronger among individuals engaging in repetitive rather than sporadic NSSI. While associations between NSSI and mental disorders generally did not differ by sex, repetitive NSSI was a stronger predictor for the onset of subsequent substance use disorders among females compared to males. Most mental disorders marginally increased the risk for persistent repetitive NSSI (median RR = 1.23). Conclusions. Our findings offer unique insights into the temporal order between NSSI and mental disorders. Further work exploring the mechanism underlying these associations will pave the way for early identification and intervention of both NSSI and mental disorders.