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000293954 041__ $$aEnglish
000293954 082__ $$a610
000293954 1001_ $$aStein, Janine$$b0
000293954 245__ $$aMental health of individuals with pre-existing mental illnesses at the beginning of the COVID-19 pandemic: results of the German National Cohort (NAKO).
000293954 260__ $$aLausanne$$bFrontiers Media$$c2024
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000293954 520__ $$aThe COVID-19 pandemic prompted a range of studies on mental health, with mixed results. While numerous studies reported worsened conditions in individuals with pre-existing mental disorders, others showed resilience and stability in mental health. However, longitudinal data focusing on the German population are sparse, especially regarding effects of age and pre-existing mental disorders during the early stages of the pandemic.To assess the interplay between psychiatric history, age, and the timing of the pandemic, with a focus on understanding how these factors relate to the severity of depression and anxiety symptoms.Exploratory analyses were based on 135,445 individuals aged 20-72 years from the German National Cohort (NAKO). Depressive and anxiety symptoms were assessed before and after the first wave of the pandemic. Inferential statistical analyses and negative binomial regression models were calculated.Persons with a self-reported psychiatric history exhibited comparable levels of depression and anxiety symptom severity after the first wave of the pandemic compared to the time before. In contrast, individuals without a psychiatric history, particularly those in their 20s to 40s, experienced an increase in mental health symptom severity during the first wave of the pandemic.Analyses focuses on the first wave of the pandemic, leaving the long-term mental health effects unexplored.Future research should consider age-specific and mental-health-related factors when addressing global health crises. Additionally, it is important to explore factors influencing resilience and adaptation, aiming to develop targeted interventions and informed policies for effective mental health management during pandemics.
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000293954 650_7 $$2Other$$aCOVID-19 pandemic
000293954 650_7 $$2Other$$aGerman National Cohort (NAKO)
000293954 650_7 $$2Other$$aanxiety
000293954 650_7 $$2Other$$adepression
000293954 650_7 $$2Other$$alongitudinal cohort study
000293954 650_7 $$2Other$$amental health
000293954 650_2 $$2MeSH$$aHumans
000293954 650_2 $$2MeSH$$aCOVID-19: epidemiology
000293954 650_2 $$2MeSH$$aCOVID-19: psychology
000293954 650_2 $$2MeSH$$aMiddle Aged
000293954 650_2 $$2MeSH$$aGermany: epidemiology
000293954 650_2 $$2MeSH$$aAdult
000293954 650_2 $$2MeSH$$aMale
000293954 650_2 $$2MeSH$$aFemale
000293954 650_2 $$2MeSH$$aAged
000293954 650_2 $$2MeSH$$aAnxiety: epidemiology
000293954 650_2 $$2MeSH$$aDepression: epidemiology
000293954 650_2 $$2MeSH$$aDepression: psychology
000293954 650_2 $$2MeSH$$aMental Health: statistics & numerical data
000293954 650_2 $$2MeSH$$aMental Disorders: epidemiology
000293954 650_2 $$2MeSH$$aMental Disorders: psychology
000293954 650_2 $$2MeSH$$aCohort Studies
000293954 650_2 $$2MeSH$$aYoung Adult
000293954 650_2 $$2MeSH$$aPandemics
000293954 650_2 $$2MeSH$$aAge Factors
000293954 650_2 $$2MeSH$$aSARS-CoV-2
000293954 650_2 $$2MeSH$$aSeverity of Illness Index
000293954 7001_ $$aPabst, Alexander$$b1
000293954 7001_ $$aBerger, Klaus$$b2
000293954 7001_ $$aKarch, André$$b3
000293954 7001_ $$aTeismann, Henning$$b4
000293954 7001_ $$aStreit, Fabian$$b5
000293954 7001_ $$aGrabe, Hans J$$b6
000293954 7001_ $$aMikolajczyk, Rafael$$b7
000293954 7001_ $$aMassag, Janka$$b8
000293954 7001_ $$aLieb, Wolfgang$$b9
000293954 7001_ $$aCastell, Stefanie$$b10
000293954 7001_ $$aHeise, Jana-Kristin$$b11
000293954 7001_ $$aSchulze, Matthias B$$b12
000293954 7001_ $$aGastell, Sylvia$$b13
000293954 7001_ $$aHarth, Volker$$b14
000293954 7001_ $$aObi, Nadia$$b15
000293954 7001_ $$aPeters, Annette$$b16
000293954 7001_ $$aHuemer, Marie-Theres$$b17
000293954 7001_ $$aBohmann, Patricia$$b18
000293954 7001_ $$aLeitzmann, Michael$$b19
000293954 7001_ $$aSchipf, Sabine$$b20
000293954 7001_ $$aMeinke-Franze, Claudia$$b21
000293954 7001_ $$aHebestreit, Antje$$b22
000293954 7001_ $$aFuhr, Daniela C$$b23
000293954 7001_ $$aMichels, Karin B$$b24
000293954 7001_ $$aJaskulski, Stefanie$$b25
000293954 7001_ $$0P:(DE-He78)104fae0755c89365b7ae32238b3f1f52$$aStocker, Hannah$$b26$$udkfz
000293954 7001_ $$0P:(DE-He78)13aa5fe9d9961c9fd67193befb0dcf88$$aKoch-Gallenkamp, Lena$$b27$$udkfz
000293954 7001_ $$aWillich, Stefan N$$b28
000293954 7001_ $$aKeil, Thomas$$b29
000293954 7001_ $$aLöffler, Markus$$b30
000293954 7001_ $$aWirkner, Kerstin$$b31
000293954 7001_ $$aRiedel-Heller, Steffi G$$b32
000293954 7001_ $$aCohort, for German National$$b33$$eCollaboration Author
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