Browsing by Author "Duffy, Anne"

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    Erratum to: Online information seeking by patients with bipolar disorder: results from an international multisite survey
    (2017-03-31) Conell, Jörn; Bauer, Rita; Glenn, Tasha; Alda, Martin; Ardau, Raffaella; Baune, Bernhard T; Berk, Michael; Bersudsky, Yuly; Bilderbeck, Amy; Bocchetta, Alberto; Bossini, Letizia; Paredes Castro, Angela M; Cheung, Eric Y W; Chillotti, Caterina; Choppin, Sabine; Del Zompo, Maria; Dias, Rodrigo; Dodd, Seetal; Duffy, Anne; Etain, Bruno; Fagiolini, Andrea; Garnham, Julie; Geddes, John; Gildebro, Jonas; Gonzalez-Pinto, Ana; Goodwin, Guy M; Grof, Paul; Harima, Hirohiko; Hassel, Stefanie; Henry, Chantal; Hidalgo-Mazzei, Diego; Kapur, Vaisnvy; Kunigiri, Girish; Lafer, Beny; Lam, Chun; Larsen, Erik R; Lewitzka, Ute; Licht, Rasmus W; Lund, Anne H; Misiak, Blazej; Piotrowski, Patryk; Monteith, Scott; Munoz, Rodrigo; Nakanotani, Takako; Nielsen, René E; O’Donovan, Claire; Okamura, Yasushi; Osher, Yamima; Reif, Andreas; Ritter, Philipp; Rybakowski, Janusz K; Sagduyu, Kemal; Sawchuk, Brett; Schwartz, Elon; Scippa, Ângela M; Slaney, Claire; Sulaiman, Ahmad H; Suominen, Kirsi; Suwalska, Aleksandra; Tam, Peter; Tatebayashi, Yoshitaka; Tondo, Leonardo; Vieta, Eduard; Vinberg, Maj; Viswanath, Biju; Volkert, Julia; Zetin, Mark; Zorrilla, Iñaki; Whybrow, Peter C; Bauer, Michael
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    Examining the impact of missing data in an undergraduate mental health survey
    (2023-08-04) Hews-Girard, Julia; Patten, Scott; Dimitropoulos, Gina; Szeto, Andrew; Thannhauser, Jennifer; Duffy, Anne; Rivera, Daniel; King, Nathan
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    Internet use by older adults with bipolar disorder: international survey results
    (2018-09-04) Bauer, Rita; Glenn, Tasha; Strejilevich, Sergio; Conell, Jörn; Alda, Martin; Ardau, Raffaella; Baune, Bernhard T; Berk, Michael; Bersudsky, Yuly; Bilderbeck, Amy; Bocchetta, Alberto; Castro, Angela M P; Cheung, Eric Y W; Chillotti, Caterina; Choppin, Sabine; Cuomo, Alessandro; Del Zompo, Maria; Dias, Rodrigo; Dodd, Seetal; Duffy, Anne; Etain, Bruno; Fagiolini, Andrea; Fernández Hernandez, Miryam; Garnham, Julie; Geddes, John; Gildebro, Jonas; Gitlin, Michael J; Gonzalez-Pinto, Ana; Goodwin, Guy M; Grof, Paul; Harima, Hirohiko; Hassel, Stefanie; Henry, Chantal; Hidalgo-Mazzei, Diego; Lund, Anne H; Kapur, Vaisnvy; Kunigiri, Girish; Lafer, Beny; Larsen, Erik R; Lewitzka, Ute; Licht, Rasmus W; Misiak, Blazej; Piotrowski, Patryk; Miranda-Scippa, Ângela; Monteith, Scott; Munoz, Rodrigo; Nakanotani, Takako; Nielsen, René E; O’Donovan, Claire; Okamura, Yasushi; Osher, Yamima; Reif, Andreas; Ritter, Philipp; Rybakowski, Janusz K; Sagduyu, Kemal; Sawchuk, Brett; Schwartz, Elon; Slaney, Claire; Sulaiman, Ahmad H; Suominen, Kirsi; Suwalska, Aleksandra; Tam, Peter; Tatebayashi, Yoshitaka; Tondo, Leonardo; Veeh, Julia; Vieta, Eduard; Vinberg, Maj; Viswanath, Biju; Zetin, Mark; Whybrow, Peter C; Bauer, Michael
    Abstract Background The world population is aging and the number of older adults with bipolar disorder is increasing. Digital technologies are viewed as a framework to improve care of older adults with bipolar disorder. This analysis quantifies Internet use by older adults with bipolar disorder as part of a larger survey project about information seeking. Methods A paper-based survey about information seeking by patients with bipolar disorder was developed and translated into 12 languages. The survey was anonymous and completed between March 2014 and January 2016 by 1222 patients in 17 countries. All patients were diagnosed by a psychiatrist. General estimating equations were used to account for correlated data. Results Overall, 47% of older adults (age 60 years or older) used the Internet versus 87% of younger adults (less than 60 years). More education and having symptoms that interfered with regular activities increased the odds of using the Internet, while being age 60 years or older decreased the odds. Data from 187 older adults and 1021 younger adults were included in the analysis excluding missing values. Conclusions Older adults with bipolar disorder use the Internet much less frequently than younger adults. Many older adults do not use the Internet, and technology tools are suitable for some but not all older adults. As more health services are only available online, and more digital tools are developed, there is concern about growing health disparities based on age. Mental health experts should participate in determining the appropriate role for digital tools for older adults with bipolar disorder.
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    Is the Prevalence of Major Depression Increasing in Canadian Adolescents? Assessing Trends from 2000 to 2014.
    (2016) Wiens, Kathryn; Patten, Scott; Duffy, Anne; Pringsheim, Tamara; Sajobi, Tolulope
    Objective: The aim of this thesis was to determine whether there is evidence of an epidemic of major depression in Canadian adolescents. Methods: Prevalence estimates for major depressive episodes (MDE) were derived from a series of Canadian Community Health Surveys. Meta regression and graphical analyses were used to evaluate trends over time. Results: The findings do not support an increase in MDE prevalence in Canadian adolescents from 2000 to 2014 (=0.0006; p=0.532). Age and sex groups did not modify the observance of trends. A post hoc analysis observed mood disorder diagnosis to increase from 2003 to 2014 (=0.0012; p=0.024). Conclusion: MDE prevalence in adolescents has remained relatively stable over the past 15 years. These results suggest mood disorder diagnosis is increasing, which may contribute to the popular belief of an epidemic in adolescents. Policy makers may need to incorporate increasing need of services into future planning.
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    The Progression of Serious Mental Disorders to Mortality in Primary Care
    (2016) Vallerand, Isabelle; Patten, Scott; Bulloch, Andrew; Duffy, Anne; Addington, Donald; MacMaster, Frank; Lesage, Alain
    Serious mental disorders (schizophrenia, bipolar disorder and major depressive disorder (MDD)) have been associated with an excess risk of mortality. However, most datasets used to study these associations have been limited by small sample sizes, use of specialized clinical samples, and few covariates recorded, thereby impeding proper assessments of mortality risks. Electronic medical records databases such as The Health Improvement Network (THIN) directly address these limitations by offering a large primary care population for study, with inclusion of numerous clinically-relevant covariate data over a long follow-up period. To date, THIN has not been used to study mortality in serious mental illness. As such, this thesis had the following objectives: i) estimate annual prevalence of serious mental illness; ii) determine the covariate-adjusted and unadjusted risk of all-cause mortality in serious mental illness and iii) demonstrate the feasibility of using THIN to study the excess mortality associated with serious mental illness. THIN was used to define schizophrenia, bipolar disorder and MDD cohorts between the years of 1986-2012, where annual prevalence estimates in 2012 were 0.23%, 0.26% and 9.49% respectively. Survival analyses adjusted for important covariates revealed that in the schizophrenia cohort (n=6,056), the risk of all-cause mortality was more than double (HR=2.36, 95%CI: 1.83 – 3.04) the risk in the referent cohort (n=6,137,760). Similarly, patients with bipolar disorder (n=9,425) were found to have twice the risk of all-cause mortality (HR=2.00, 95%CI: 1.70-2.34) compared to the referent cohort (n=6,131,373). Patients with MDD (n=405,866) were also found to have a significantly greater risk of all-cause mortality (HR=1.28, 95%CI: 1.21-1.36) compared to the referent cohort (n=5,337,098). Annual prevalence estimates for schizophrenia and MDD were similar to previous reports, but estimates were lower for bipolar disorder, possibly due to issues in correctly identifying these patients in primary care. This study was the first to confirm the excess mortality associated with serious mental disorders using THIN, highlighting that studying mortality among patients with serious mental illness is feasible in THIN. As such, the work presented in this thesis can pave the way for future research using THIN to improve the health of patients with serious mental disorders.
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    Validating the Brief Resilience Scale (BRS) in Undergraduate Students: A mixed methods study
    (2023-08-04) Hews-Girard, Julia; Patten, Scott; Dimitropoulos, Gina; Szeto, Andrew; Thannhauser, Jennifer; King, Nathan; Duffy, Anne; Cunningham, Simone