Hessmann, Philipp

[["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","The Journal of Clinical Psychiatry"],["dc.bibliographiccitation.volume","81"],["dc.contributor.author","Bartels, Claudia"],["dc.contributor.author","Belz, Michael"],["dc.contributor.author","Vogelgsang, Jonathan"],["dc.contributor.author","Hessmann, Philipp"],["dc.contributor.author","Bohlken, Jens"],["dc.contributor.author","Wiltfang, Jens"],["dc.contributor.author","Kostev, Karel"],["dc.date.accessioned","2021-04-14T08:32:26Z"],["dc.date.available","2021-04-14T08:32:26Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.4088/JCP.19m13205"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83919"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1555-2101"],["dc.title","To Be Continued? Long-Term Treatment Effects ofAntidepressant Drug Classes and Individual Antidepressants on the Risk of Developing Dementia"],["dc.title.alternative","A German Case-Control Study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","European Archives of Psychiatry and Clinical Neuroscience"],["dc.contributor.author","Belz, Michael"],["dc.contributor.author","Hessmann, Philipp"],["dc.contributor.author","Vogelgsang, Jonathan"],["dc.contributor.author","Schmidt, Ulrike"],["dc.contributor.author","Ruhleder, Mirjana"],["dc.contributor.author","Signerski-Krieger, Jörg"],["dc.contributor.author","Radenbach, Katrin"],["dc.contributor.author","Trost, Sarah"],["dc.contributor.author","Schott, Björn H."],["dc.contributor.author","Bartels, Claudia"],["dc.date.accessioned","2021-06-01T09:42:51Z"],["dc.date.available","2021-06-01T09:42:51Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract The Covid-19 pandemic highly impacts mental health worldwide. Patients with psychiatric disorders are a vulnerable risk population for worsening of their condition and relapse of symptoms. This study investigates the pandemic-related course of psychosocial burden in patients with pre-existing mental disorders. With the newly developed Goettingen psychosocial Burden and Symptom Inventory (Goe-BSI) psychosocial burden has been traced retrospectively (1) before the pandemic (beginning of 2020), (2) at its beginning under maximum lockdown conditions (March 2020), and (3) for the current state after maximum lockdown conditions (April/May 2020). The Goe-BSI also integrates the Adjustment Disorder New Module (ADNM-20), assesses general psychiatric symptoms, and resilience. A total of 213 patients covering all major psychiatric disorders (ICD-10 F0-F9) were interviewed once in the time range from April, 24th until May 11th, 2020. Across all diagnoses patients exhibited a distinct pattern with an initial rise followed by a decline of psychosocial burden ( p  < 0.001, partial η 2  = 0.09; Bonferroni-corrected pairwise comparisons between all three time-points: p  < 0.05 to 0.001). Female gender and high ADNM-20 scores were identified as risk factors for higher levels and an unfavorable course of psychosocial burden over time. Most psychiatric symptoms remained unchanged. Trajectories of psychosocial burden vary in parallel to local lockdown restrictions and seem to reflect an adaptive stress response. For female patients with pre-existing mental disorders and patients with high-stress responses, timely and specific treatment should be scheduled. With the continuation of the pandemic, monitoring of long-term effects is of major importance, especially when long incubation times for the development of mental health issues are considered."],["dc.identifier.doi","10.1007/s00406-021-01268-6"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85373"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","1433-8491"],["dc.relation.issn","0940-1334"],["dc.title","Evolution of psychosocial burden and psychiatric symptoms in patients with psychiatric disorders during the Covid-19 pandemic"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","European Archives of Psychiatry and Clinical Neuroscience"],["dc.contributor.author","Bartels, Claudia"],["dc.contributor.author","Hessmann, Philipp"],["dc.contributor.author","Schmidt, Ulrike"],["dc.contributor.author","Vogelgsang, Jonathan"],["dc.contributor.author","Ruhleder, Mirjana"],["dc.contributor.author","Kratzenberg, Alexander"],["dc.contributor.author","Treptow, Marit"],["dc.contributor.author","Reh-Bergen, Thorgund"],["dc.contributor.author","Abdel-Hamid, Mona"],["dc.contributor.author","Heß, Luisa"],["dc.contributor.author","Belz, Michael"],["dc.date.accessioned","2021-12-01T09:22:58Z"],["dc.date.available","2021-12-01T09:22:58Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract While the COVID-19 pandemic continues, patients with pre-existing mental disorders are increasingly recognized as a risk group for adverse outcomes. However, data are conflicting and cover only short time spans so far. Here, we investigate the medium-term and peri-lockdown-related changes of mental health outcomes in such patients in a longitudinal study. A cohort of 159 patients comprising all major mental disorders (ICD-10 F0-F9) were interviewed twice with the Goettingen psychosocial Burden and Symptom Inventory (Goe-BSI) to evaluate psychosocial burden, psychiatric symptoms and resilience at the end of the first (April/May 2020) and the second lockdown in Germany (November/December 2020). For the primary outcome “psychosocial burden” ratings also comprised retrospective pre-pandemic (early 2020) and very early states during the pandemic (March 2020). For all diagnostic groups, psychosocial burden varied significantly over time ( p  < 0.001) with an increase from the pre-pandemic to the initial phase ( p  < 0.001), followed by a steady decrease across both lockdowns, normalizing in November/December 2020. Female gender, high adjustment disorder symptom load at baseline and psychiatric comorbidities were risk factors for higher levels and an unfavorable course of psychosocial burden. Most psychiatric symptoms changed minimally, while resilience decreased over time ( p  = 0.044 and p  = 0.037). The longitudinal course of psychosocial burden indicates an initial stress response, followed by a return to pre-pandemic levels even under recurrent lockdown conditions, mimicking symptoms of an adjustment disorder. Strategies for proactive, specific and continuous treatment have to address resilience capacities before their depletion in the pandemic aftermath, especially for patients with additional risk factors."],["dc.description.abstract","Abstract While the COVID-19 pandemic continues, patients with pre-existing mental disorders are increasingly recognized as a risk group for adverse outcomes. However, data are conflicting and cover only short time spans so far. Here, we investigate the medium-term and peri-lockdown-related changes of mental health outcomes in such patients in a longitudinal study. A cohort of 159 patients comprising all major mental disorders (ICD-10 F0-F9) were interviewed twice with the Goettingen psychosocial Burden and Symptom Inventory (Goe-BSI) to evaluate psychosocial burden, psychiatric symptoms and resilience at the end of the first (April/May 2020) and the second lockdown in Germany (November/December 2020). For the primary outcome “psychosocial burden” ratings also comprised retrospective pre-pandemic (early 2020) and very early states during the pandemic (March 2020). For all diagnostic groups, psychosocial burden varied significantly over time ( p  < 0.001) with an increase from the pre-pandemic to the initial phase ( p  < 0.001), followed by a steady decrease across both lockdowns, normalizing in November/December 2020. Female gender, high adjustment disorder symptom load at baseline and psychiatric comorbidities were risk factors for higher levels and an unfavorable course of psychosocial burden. Most psychiatric symptoms changed minimally, while resilience decreased over time ( p  = 0.044 and p  = 0.037). The longitudinal course of psychosocial burden indicates an initial stress response, followed by a return to pre-pandemic levels even under recurrent lockdown conditions, mimicking symptoms of an adjustment disorder. Strategies for proactive, specific and continuous treatment have to address resilience capacities before their depletion in the pandemic aftermath, especially for patients with additional risk factors."],["dc.identifier.doi","10.1007/s00406-021-01351-y"],["dc.identifier.pii","1351"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94526"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.eissn","1433-8491"],["dc.relation.issn","0940-1334"],["dc.title","Medium-term and peri-lockdown course of psychosocial burden during the ongoing COVID-19 pandemic: a longitudinal study on patients with pre-existing mental disorders"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

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