Browsing by Author "Kessler, Ronald C."
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- ItemApplication of data pooling to longitudinal studies of early post-traumatic stress disorder (PTSD) : the International Consortium to Predict PTSD (ICPP) project(Taylor & Francis Open, 2018) Qi, Wei; Ratanatharathorn, Andrew; Gevonden, Martin; Bryant, Richard; Delahanty, Douglas; Matsuoka, Yutaka; Olff, Miranda; DeRoon-Cassini, Terri; Schnyder, Ulrich; Seedat, Soraya; Laska, Eugene; Kessler, Ronald C.; Koenen, Karestan; Shalev, AriehBackground: Understanding the development of post-traumatic stress disorder (PTSD) is a precondition for efficient risk assessment and prevention planning. Studies to date have been site and sample specific. Towards developing generalizable models of PTSD development and prediction, the International Consortium to Predict PTSD (ICPP) compiled data from 13 longitudinal, acute-care based PTSD studies performed in six different countries. Objective: The objectives of this study were to describe the ICPP’s approach to data pooling and harmonization, and present cross-study descriptive results informing the longitudinal course of PTSD after acute trauma. Methods: Item-level data from 13 longitudinal studies of adult civilian trauma survivors were collected. Constructs (e.g. PTSD, depression), measures (questions or scales), and time variables (days from trauma) were identified and harmonized, and those with inconsistent coding (e.g. education, lifetime trauma exposure) were recoded. Administered in 11 studies, the Clinician Administered PTSD Scale (CAPS) emerged as the main measure of PTSD diagnosis and severity. Results: The pooled data set included 6254 subjects (39.9% female). Studies’ average retention rate was 87.0% (range 49.1–93.5%). Participants’ baseline assessments took place within 2 months of trauma exposure. Follow-up durations ranged from 188 to 1110 days. Reflecting studies’ inclusion criteria, the prevalence of baseline PTSD differed significantly between studies (range 3.1–61.6%), and similar differences were observed in subsequent assessments (4.3–38.2% and 3.8–27.0% for second and third assessments, respectively). Conclusion: Pooling data from independently collected studies requires careful curation of individual data sets for extracting and optimizing informative commonalities. However, it is an important step towards developing robust and generalizable prediction models for PTSD and can exceed findings of single studies. The large differences in prevalence of PTSD longitudinally cautions against using any individual study to infer trauma outcome. The multiplicity of instruments used in individual studies emphasizes the need for common data elements in future studies.
- ItemBarriers of mental health treatment utilization among first-year college students: First cross-national results from the WHO World Mental Health International College Student Initiative(Wiley Open Access, 2019) Ebert, David Daniel; Mortier, Philippe; Kaehlke, Fanny; Bruffaerts, Ronny; Baumeister, Harald; Auerbach, Randy P.; Alonso, Jordi; Vilagut, Gemma; Martinez, Kalina U.; Lochner, Christine; Cuijpers, Pim; Kuechler, Ann-Marie; Green, Jennifer; Hasking, Penelope; Lapsley, Coral; Sampson, Nancy A.; Kessler, Ronald C.Background: Although mental disorders and suicidal thoughts-behaviors (suicidal thoughts and behaviors) are common among university students, the majority of students with these problems remain untreated. It is unclear what the barriers are to these students seeking treatment. Aims: The aim of this study is to examine the barriers to future help-seeking and the associations of clinical characteristics with these barriers in a cross-national sample of first-year college students. Method: As part of the World Mental Health International College Student (WMH-ICS) initiative, web-based self-report surveys were obtained from 13,984 first-year students in eight countries across the world. Clinical characteristics examined included screens for common mental disorders and reports about suicidal thoughts and behaviors. Multivariate regression models adjusted for socio-demographic, college-, and treatment-related variables were used to examine correlates of help-seeking intention and barriers to seeking treatment. Results: Only 24.6% of students reported that they would definitely seek treatment if they had a future emotional problem. The most commonly reported reasons not to seek treatment among students who failed to report that they would definitely seek help were the preference to handle the problem alone (56.4%) and wanting to talk with friends or relatives instead (48.0%). Preference to handle the problem alone and feeling too embarrassed were also associated with significantly reduced odds of having at least some intention to seek help among students who failed to report that they would definitely seek help. Having 12-month major depression, alcohol use disorder, and suicidal thoughts and behaviors were also associated with significantly reduced reported odds of the latter outcome. Conclusions: The majority of first-year college students in the WMH-ICS surveys report that they would be hesitant to seek help in case of future emotional problems. Attitudinal barriers and not structural barriers were found to be the most important reported reasons for this hesitation. Experimental research is needed to determine whether intention to seek help and, more importantly, actual help-seeking behavior could be increased with the extent to which intervention strategies need to be tailored to particular student characteristics. Given that the preference to handle problems alone and stigma and appear to be critical, there could be value in determining if internet-based psychological treatments, which can be accessed privately and are often build as self-help approaches, would be more acceptable than other types of treatments to student who report hesitation about seeking treatment.
- ItemCorrection to: Evaluating a screener to quantify PTSD risk using emergency care information : a proof of concept study(BMC (part of Springer Nature), 2020-06-29) Van Der Mei, Willem F.; Barbano, Anna C.; Ratanatharathorn, Andrew; Bryant, Richard A.; Delahanty, Douglas L.; deRoon-Cassini, Terri A.; Lai, Betty S.; Lowe, Sarah R.; Matsuoka, Yutaka J.; Olff, Miranda; Qi, Wei; Schnyder, Ulrich; Seedat, Soraya; Kessler, Ronald C.; Koenen, Karestan C.; Shalev, Arieh Y.An amendment to this paper has been published and can be accessed via the original article.
- ItemEvaluating a screener to quantify PTSD risk using emergency care information : a proof of concept study(BMC (part of Springer Nature), 2020-03-02) Van der Mei, Willem F.; Barbano, Anna C.; Ratanatharathorn, Andrew; Bryant, Richard A.; Delahanty, Douglas L.; DeRoon-Cassini, Terri A.; Lai, Betty S.; Lowe, Sarah R.; Matsuoka, Yutaka J.; Olff, Miranda; Qi, Wei; Schnyder, Ulrich; Seedat, Soraya; Kessler, Ronald C.; Koenen, Karestan C.; Shalev, Arieh Y.Background: Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. Methods: We used individual participant data (IPD) from five acute care studies that used both the PDEQ and the CAPS (n = 647). Logistic regression calculated the probability of having CAPS scores ≥ 40 between 30 and 60 days after trauma exposure across the range of initial PDEQ scores, and evaluated the added contribution of age, sex, trauma type, and prior trauma exposure. Brier scores, area under the receiver-operating characteristic curve (AUC), and the mean slope of the calibration line evaluated the accuracy and precision of the predicted probabilities. Results: Twenty percent of the sample had CAPS ≥ 40. PDEQ severity significantly predicted having CAPS ≥ 40 symptoms (p < 0.001). Incremental PDEQ scores produced a reliable estimator of CAPS ≥ 40 likelihood. An individual risk estimation tool incorporating PDEQ and other significant risk indicators is provided. Conclusion: Peritraumatic reactions, measured here by the PDEQ, can reliably quantify the likelihood of acute PTSD symptoms predictive of chronic PTSD and requiring clinical attention. Using them as a screener in a stepwise chronic PTSD prediction strategy may reduce the burden of later CAPS-based assessments. Other peritraumatic metrics may perform similarly and their use requires similar validation.
- ItemInequality and mental healthcare utilisation among first-year university students in South Africa(BMC (part of Springer Nature), 2020-01-25) Bantjes, Jason; Saal, Wylene; Lochner, Christine; Roos, Janine; Auerbach, Randy P.; Mortier, Philippe; Bruffaerts, Ronny; Kessler, Ronald C.; Stein, Dan J.Background: Addressing inequalities in mental healthcare utilisation among university students is important for socio-political transformation, particularly in countries with a history of educational exclusion. Methods: As part of the WHO World Mental Health International College Student Initiative, we investigated inequalities in mental healthcare utilisation among first-year students at two historically “White” universities in South Africa. Data were collected via a web-based survey from first-year university students (n = 1402) to assess 12-month mental healthcare utilisation, common mental disorders, and suicidality. Multivariate logistic regression models were used to estimate associations between sociodemographic variables and mental healthcare utilisation, controlling for common mental disorders and suicidality. Results: A total of 18.1% of students utilised mental healthcare in the past 12 months, with only 28.9% of students with mental disorders receiving treatment (ranging from 28.1% for ADHD to 64.3% for bipolar spectrum disorder). Of those receiving treatment, 52.0% used psychotropic medication, 47.3% received psychotherapy, and 5.4% consulted a traditional healer. Treatment rates for suicidal ideation, plan and attempt were 25.4%, 41.6% and 52.9%, respectively. In multivariate regression models that control for the main effects of mental health variables and all possible joint effects of sociodemographic variables, the likelihood of treatment was lower among males (aOR = 0.57) and Black students (aOR = 0.52). An interaction was observed between sexual orientation and first generation status; among second-generation students, the odds of treatment were higher for students reporting an atypical sexual orientation (aOR = 1.55), while among students with atypical sexual orientations, the likelihood of mental healthcare utilisation was lower for first-generation students (aOR = 0.29). Odds of treatment were significantly elevated among students with major depressive disorder (aOR = 1.88), generalised anxiety disorder (aOR = 2.34), bipolar spectrum disorder (aOR = 4.07), drug use disorder (aOR = 3.45), suicidal ideation (without plan or attempt) (aOR = 2.00), suicide plan (without attempt) (aOR = 3.64) and suicide attempt (aOR = 4.57). Likelihood of treatment increased with level of suicidality, but not number of mental disorders. Conclusion: We found very low mental healthcare treatment utilisation among first-year university students in South Africa, with enduring disparities among historically marginalised groups. Campus-based interventions are needed to promote mental healthcare utilisation by first-year students in South Africa, especially among male and Black students and first-generation students with atypical sexual orientations.
- ItemInequality and mental healthcare utilisation among first-year university students in South Africa(BMC, 2020-01-25) Bantjes, Jason; Saal, Wylene; Lochner, Christine; Roos, Janine; Auerbach, Randy P.; Mortier, Philippe; Brufaerts, Ronny; Kessler, Ronald C.; Stein, Dan J.Background: Addressing inequalities in mental healthcare utilisation among university students is important for socio-political transformation, particularly in countries with a history of educational exclusion. Methods: As part of the WHO World Mental Health International College Student Initiative, we investigated inequalities in mental healthcare utilisation among first-year students at two historically “White” universities in South Africa. Data were collected via a web-based survey from first-year university students (n=1402) to assess 12-month mental healthcare utilisation, common mental disorders, and suicidality. Multivariate logistic regression models were used to estimate associations between sociodemographic variables and mental healthcare utilisation, controlling for common mental disorders and suicidality. Results: A total of 18.1% of students utilised mental healthcare in the past 12 months, with only 28.9% of students with mental disorders receiving treatment (ranging from 28.1% for ADHD to 64.3% for bipolar spectrum disorder). Of those receiving treatment, 52.0% used psychotropic medication, 47.3% received psychotherapy, and 5.4% consulted a traditional healer. Treatment rates for suicidal ideation, plan and attempt were 25.4%, 41.6% and 52.9%, respectively. In multivariate regression models that control for the main effects of mental health variables and all possible joint effects of sociodemographic variables, the likelihood of treatment was lower among males (aOR=0.57) and Black students (aOR=0.52). An interaction was observed between sexual orientation and first generation status; among second-generation students, the odds of treatment were higher for students reporting an atypical sexual orientation (aOR=1.55), while among students with atypical sexual orientations, the likelihood of mental healthcare utilisation was lower for first-generation students (aOR=0.29). Odds of treatment were significantly elevated among students with major depressive disorder (aOR=1.88), generalised anxiety disorder (aOR=2.34), bipolar spectrum disorder (aOR=4.07), drug use disorder (aOR=3.45), suicidal ideation (without plan or attempt) (aOR=2.00), suicide plan (without attempt) (aOR=3.64) and suicide attempt (aOR=4.57). Likelihood of treatment increased with level of suicidality, but not number of mental disorders. Conclusion: We found very low mental healthcare treatment utilisation among first-year university students in South Africa, with enduring disparities among historically marginalised groups. Campus-based interventions are needed to promote mental healthcare utilisation by first-year students in South Africa, especially among male and Black students and first-generation students with atypical sexual orientations.
- ItemInequality and mental healthcare utilisation among first‑year university students in South Africa(BMC (part of Springer Nature), 2020) Bantjes, Jason; Saal, Wylene; Lochner, Christine; Roos, Janine; Auerbach, Randy P.; Mortier, Philippe; Bruffaerts, Ronny; Kessler, Ronald C.; Stein, Dan J.Background: Addressing inequalities in mental healthcare utilisation among university students is important for socio-political transformation, particularly in countries with a history of educational exclusion. Methods: As part of the WHO World Mental Health International College Student Initiative, we investigated inequalities in mental healthcare utilisation among first-year students at two historically “White” universities in South Africa. Data were collected via a web-based survey from first-year university students (n = 1402) to assess 12-month mental healthcare utilisation, common mental disorders, and suicidality. Multivariate logistic regression models were used to estimate associations between sociodemographic variables and mental healthcare utilisation, controlling for common mental disorders and suicidality. Results: A total of 18.1% of students utilised mental healthcare in the past 12 months, with only 28.9% of students with mental disorders receiving treatment (ranging from 28.1% for ADHD to 64.3% for bipolar spectrum disorder). Of those receiving treatment, 52.0% used psychotropic medication, 47.3% received psychotherapy, and 5.4% consulted a traditional healer. Treatment rates for suicidal ideation, plan and attempt were 25.4%, 41.6% and 52.9%, respectively. In multivariate regression models that control for the main effects of mental health variables and all possible joint effects of sociodemographic variables, the likelihood of treatment was lower among males (aOR = 0.57) and Black students (aOR = 0.52). An interaction was observed between sexual orientation and first generation status; among second-generation students, the odds of treatment were higher for students reporting an atypical sexual orientation (aOR = 1.55), while among students with atypical sexual orientations, the likelihood of mental healthcare utilisation was lower for first-generation students (aOR = 0.29). Odds of treatment were significantly elevated among students with major depressive disorder (aOR = 1.88), generalised anxiety disorder (aOR = 2.34), bipolar spectrum disorder (aOR = 4.07), drug use disorder (aOR = 3.45), suicidal ideation (without plan or attempt) (aOR = 2.00), suicide plan (without attempt) (aOR = 3.64) and suicide attempt (aOR = 4.57). Likelihood of treatment increased with level of suicidality, but not number of mental disorders. Conclusion: We found very low mental healthcare treatment utilisation among first-year university students in South Africa, with enduring disparities among historically marginalised groups. Campus-based interventions are needed to promote mental healthcare utilisation by first-year students in South Africa, especially among male and Black students and first-generation students with atypical sexual orientations.
- ItemInternational meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci(Nature Research (part of Springer Nature), 2019) Nievergelt, Caroline M.; Maihofer, Adam X.; Klengel, Torsten; Atkinson, Elizabeth G.; Chen, Chia-Yen; Choi, Karmel W.; Coleman, Jonathan R. I.; Dalvie, Shareefa; Duncan, Laramie E.; Gelernter, Joel; Levey, Daniel F.; Logue, Mark W.; Polimanti, Renato; Provost, Allison C.; Ratanatharathorn, Andrew; Stein, Murray B.; Torres, Katy; Aiello, Allison E.; Almli, Lynn M.; Amstadter, Ananda B.; Andersen, Soren B.; Andreassen, Ole A.; Arbisi, Paul A.; Ashley-Koch, Allison E.; Austin, S. Bryn; Avdibegovic, Esmina; Babic, Dragan; Bækvad-Hansen, Marie; Baker, Dewleen G.; Beckham, Jean C.; Bierut, Laura J.; Bisson, Jonathan I.; Boks, Marco P.; Bolger, Elizabeth A.; Borglum, Anders D.; Bradley, Bekh; Brashear, Megan; Breen, Gerome; Bryant, Richard A.; Bustamante, Angela C.; Bybjerg-Grauholm, Jonas; Calabrese, Joseph R.; Caldas-de-Almeida, Jose M.; Dale, Anders M.; Daly, Mark J.; Daskalakis, Nikolaos P.; Deckert, Jurgen; Delahanty, Douglas L.; Dennis, Michelle F.; Disner, Seth G.; Domschke, Katharina; Dzubur-Kulenovic, Alma; Erbes, Christopher R.; Evans, Alexandra; Farrer, Lindsay A.; Feeny, Norah C.; Flory, Janine D.; Forbes, David; Franz, Carol E.; Galea, Sandro; Garrett, Melanie E.; Gelaye, Bizu; Geuze, Elbert; Gillespie, Charles; Uka, Aferdita Goci; Goci, Aferdita; Guffanti, Guia; Hammamieh, Rasha; Harnal, Supriya; Hauser, Michael A.; Heath, Andrew C.; Hemmings, Sian M. J.; Hougaard, David Michael; Jakovljevic, Miro; Jett, Marti; Johnson, Eric Otto; Jones, Ian; Jovanovic, Tanja; Qin, Xue-Jun; Junglen, Angela G.; Karstoft, Karen-Inge; Kaufman, Milissa L.; Kessler, Ronald C.; Khan, Alaptagin; Kimbre, Nathan A.; King, Anthony P.; Koen, Nastassja; Kranzler, Henry R.; Kremen, William S.; Lawford, Bruce R.; Lebois, Lauren A. M.; Lewis, Catrin E.; Linnstaedt, Sarah D.; Lori, Adriana; Lugonja, Bozo; Luykx, Jurjen J.; Lyons, Michael J.; Maples-Keller, Jessica; Marmar, Charles; Martin, Alicia R.; Maurer, Douglas; Mavissakalian, Matig R.; McFarlane, Alexander; McGlinchey, Regina E.; McLaughlin, Katie A.; McLean, Samuel A.; McLeay, Sarah; Mehta, Divya; Milberg, William P.; Miller, Mark W.; Morey, Rajendra A.; Morris, Charles Phillip; Mors, Ole; Mortensen, Preben B.; Neale, Benjamin M.; Nelson, Elliot C.; Nordentoft, Merete; Norman, Sonya B.; O'Donnell, Meaghan; Orcutt, Holly K.; Panizzon, Matthew S.; Peters, Edward S.; Peterson, Alan L.; Peverill, Matthew; Pietrzak, Robert H.; Polusny, Melissa A.; Rice, John P.; Ripke, Stephan; Risbrough, Victoria B.; Roberts, Andrea L.; Rothbaum, Alex O.; Rothbaum, Barbara O.; Roy-Byrne, Peter; Ruggiero, Ken; Rung, Ariane; Rutten, Bart P. F.; Saccone, Nancy L.; Sanchez, Sixto E.; Schijven, Dick; Seedat, Soraya, 1966-; Seligowski, Antonia V.; Seng, Julia S.; Sheerin, Christina M.; Smith, Alicia K.; Smoller, Jordan W.; Sponheim, Scott R.; Stein, Dan J.; Stevens, Jennifer S.; Sumner, Jennifer A.; Teicher, Martin H.; Thompson, Wesley K.; Trapido, Edward; Uddin, Monica; Ursano, Robert J.; Van Den Heuvel, Leigh Luella; Van Hooff, Miranda; Vermetten, Eric; Vinkers, Christiaan H.; Voisey, Joanne; Wang, Yunpeng; Wang, Zhewu; Werge, Thomas; Williams, Michelle A.; Williamson, Douglas E.; Winternitz, Sherry; Wolf, Christiane; Wolf, Erika J.; Wolff, Jonathan D.; Yehuda, Rachel; Young, Ross McD; Young, Keith A.; Zhao, Hongyu; Zoellner, Lori A.; Liberzon, Israel; Ressler, Kerry J.; Haas, Magali; Koenen, Karestan C.The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. In a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls we conduct a genome-wide association study of PTSD. We demonstrate SNP-based heritability estimates of 5–20%, varying by sex. Three genome-wide significant loci are identified, 2 in European and 1 in African-ancestry analyses. Analyses stratified by sex implicate 3 additional loci in men. Along with other novel genes and non-coding RNAs, a Parkinson’s disease gene involved in dopamine regulation, PARK2, is associated with PTSD. Finally, we demonstrate that polygenic risk for PTSD is significantly predictive of re-experiencing symptoms in the Million Veteran Program dataset, although specific loci did not replicate. These results demonstrate the role of genetic variation in the biology of risk for PTSD and highlight the necessity of conducting sex-stratified analyses and expanding GWAS beyond European ancestry populations.
- ItemPrevalence and sociodemographic correlates of common mental disorders among first-year university students in post-apartheid South Africa : implications for a public mental health approach to student wellness(BMC (part of Springer Nature), 2019-07-10) Bantjes, Jason; Lochner, Christine; Saal, Wylene; Roos, Janine; Taljaard, Lian; Page, Daniel; Auerbach, Randy P; Mortier, Philippe; Bruffaerts, Ronny; Kessler, Ronald C.; Stein, Dan J.Background: There is growing awareness of the need for effective prevention, early detection, and novel treatment approaches for common mental disorders (CMDs) among university students. Reliable epidemiological data on prevalence and correlates are the cornerstones of planning and implementing effective health services and adopting a public health approach to student wellness. Yet, there is a comparative lack of sound psychiatric epidemiological studies on CMDs among university students in low- and middle-income countries, like South Africa (SA). It is also unclear if historically marginalised groups of students are at increased risk for mental health problems in post-apartheid SA. The objective of the study was to investigate the prevalence and sociodemographic correlates of lifetime and 12-month CMDs among university students in SA, with a particular focus on vulnerability among students in historically excluded and marginalised segments of the population. Methods: Data were collected via self-report measures in an online survey of first-year students registered at two large universities (n = 1402). CMDs were assessed with previously-validated screening scales. Data were weighted and analysed using multivariate statistical methods. Results: A total of 38.5% of respondents reported at least one lifetime CMD, the most common being major depressive disorder (24.7%). Twelve-month prevalence of any CMD was 31.5%, with generalised anxiety disorder being the most common (20.8%). The median age of onset for any disorder was 15 years. The median proportional annual persistence of any disorder was 80.0%. Female students, students who reported an atypical sexual orientation, and students with disabilities were at significantly higher risk of any lifetime or 12-month disorder. Female gender, atypical sexual orientation, and disability were associated with elevated risk of internalising disorders, whereas male gender, identifying as White, and reporting an atypical sexual orientation were associated with elevated risk of externalising disorders. Older age, atypical sexual orientation, and disability were associated with elevated risk of bipolar spectrum disorder. Conclusions: Despite advances to promote greater social inclusion in post-apartheid SA, students who identify as female, students with atypical sexual orientations, and students with disabilities are nonetheless at increased risk of CMDs, although students who identify as Black and first-generation students are not.