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Kirchberger I, Meisinger C, Warm TD, Hyhlik-Dürr A, Linseisen J, Goßlau Y. Longitudinal course and predictors of health-related quality of life, mental health, and fatigue, in non-hospitalized individuals with or without post COVID-19 syndrome. Health Qual Life Outcomes 2024; 22:32. [PMID: 38616282 PMCID: PMC11017651 DOI: 10.1186/s12955-024-02245-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 03/22/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Long-term information on health-related quality of life (HRQOL) and mental health of non-hospitalized individuals with "post COVID-19 syndrome" (PCS) is scarce. Thus, the objectives of the present study were to compare HRQOL and mental health of individuals with and without PCS in a German sample of non-hospitalized persons after SARS-CoV-2 infection, to characterize the long-term course up to 2 years and to identify predictors for post COVID-19 impairments. METHODS Individuals with past SARS-CoV-2 infection were examined at the University Hospital of Augsburg from November 2020 to May 2021 and completed a postal questionnaire between June and November 2022. Participants who self-reported the presence of fatigue, dyspnea on exertion, memory problems or concentration problems were classified as having PCS. HRQOL was assessed using the Veterans RAND 12-Item Health Survey, mental health was measured by the Patient Health Questionnaire and the Fatigue Asessment Scale was used to assess fatigue severity. Multivariable linear regression models with inverse probability weighting were used to determine the association between PCS and health outcomes. RESULTS From the 304 participants (58.2% women, median age 52 years), 210 (69.1%) were classified as having PCS in median 26 months after SARS-CoV-2 infection. Persons with PCS showed significantly more often depressive and anxiety disorders. PCS was independently and significantly associated with higher levels of depression, post-traumatic stress and fatigue, as well as poorer physical and mental HRQOL in median 9 months as well as 26 months after SARS-CoV-2 infection. A large number of acute symptoms and a prior diagnosis of depression were independently associated with poor mental health and HRQOL. While post-traumatic stress and mental HRQOL improved from 9 months to 26 months post infection onset, depressiveness, fatigue and physical HRQOL remained stable in both, persons with and without PCS. CONCLUSIONS PCS in non-hospitalized persons after SARS-CoV-2 infection is often associated with long-term impairments of mental health and HRQOL outcomes.
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Affiliation(s)
- Inge Kirchberger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, Augsburg, Germany.
| | - Christine Meisinger
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, Augsburg, Germany
| | - Tobias D Warm
- Vascular Surgery, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | | | - Jakob Linseisen
- Epidemiology, Faculty of Medicine, University of Augsburg, University Hospital of Augsburg, Stenglinstraße 2, Augsburg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany
| | - Yvonne Goßlau
- Vascular Surgery, Faculty of Medicine, University of Augsburg, Augsburg, Germany
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Friedel E, Abels I, Henze GI, Haering S, Buspavanich P, Stadler T. [Depression in the field of tension of gender roles]. DER NERVENARZT 2024; 95:298-307. [PMID: 38361114 DOI: 10.1007/s00115-024-01616-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/15/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND The distribution of depression and suicidal ideation by gender reveals a gender paradox: women are at least twice as likely to be diagnosed with depressive disorders but have a lower suicide rate than men. In contrast, the suicide rate of men is at least three times higher than women, while the prevalence of depressive disorders is only half as high. Although these differences have long been known the reasons for this paradox are still not fully understood. AIM OF THE ARTICLE AND METHOD The aim of this narrative review article is to discuss possible explanatory models regarding gender differences in depressive disorders. Aspects related to stress processing and traumatization are considered as well as sociological and biological factors. This article summarizes information that was considered particularly relevant in the interdisciplinary dialogue regarding possible explanatory factors for gender differences in depressive disorders. RESULTS The summarized studies indicate that women and men differ in certain aspects of stress processing and trauma exposure but men do not have a lower risk of disease as a result. On the contrary, the frequency of depressive disorders in men seems to be underestimated due to an atypical symptom manifestation. DISCUSSION The implementation of knowledge about gender-specific vulnerability in the training of physicians and psychotherapists, the systematic assessment of gender beyond binary classifications as well as further diversity domains in research and healthcare as well as gender-sensitive and diversity-sensitive prevention strategies could contribute to the resolution of the gender paradox.
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Affiliation(s)
- Eva Friedel
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
- Forschungsbereich Mind and Brain, Klinik für Psychiatrie und Psychotherapie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
| | - Ingar Abels
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
- Stellvertretende Zentrale Frauen- und Gleichstellungsbeauftragte, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Gina-Isabelle Henze
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
- Forschungsbereich Mind and Brain, Klinik für Psychiatrie und Psychotherapie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Stephanie Haering
- Arbeitsbereich Geschlechterforschung in der Medizin, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - Pichit Buspavanich
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
- Arbeitsbereich Geschlechterforschung in der Medizin, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
- Institut für Sexualwissenschaft und Sexualmedizin, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
- Klinik für Psychiatrie, Psychotherapie und Psychosomatik, Medizinische Hochschule Brandenburg Theodor Fontane, Fakultät Gesundheitswissenschaften Brandenburg, Neuruppin, Deutschland
| | - Turu Stadler
- Arbeitsbereich Geschlechterforschung in der Medizin, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
- Insitute of Applied Health Sciences, University of Aberdeen, Aberdeen, Großbritannien
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Wadle LM, Ebner-Priemer UW, Foo JC, Yamamoto Y, Streit F, Witt SH, Frank J, Zillich L, Limberger MF, Ablimit A, Schultz T, Gilles M, Rietschel M, Sirignano L. Speech Features as Predictors of Momentary Depression Severity in Patients With Depressive Disorder Undergoing Sleep Deprivation Therapy: Ambulatory Assessment Pilot Study. JMIR Ment Health 2024; 11:e49222. [PMID: 38236637 PMCID: PMC10835582 DOI: 10.2196/49222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 10/21/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND The use of mobile devices to continuously monitor objectively extracted parameters of depressive symptomatology is seen as an important step in the understanding and prevention of upcoming depressive episodes. Speech features such as pitch variability, speech pauses, and speech rate are promising indicators, but empirical evidence is limited, given the variability of study designs. OBJECTIVE Previous research studies have found different speech patterns when comparing single speech recordings between patients and healthy controls, but only a few studies have used repeated assessments to compare depressive and nondepressive episodes within the same patient. To our knowledge, no study has used a series of measurements within patients with depression (eg, intensive longitudinal data) to model the dynamic ebb and flow of subjectively reported depression and concomitant speech samples. However, such data are indispensable for detecting and ultimately preventing upcoming episodes. METHODS In this study, we captured voice samples and momentary affect ratings over the course of 3 weeks in a sample of patients (N=30) with an acute depressive episode receiving stationary care. Patients underwent sleep deprivation therapy, a chronotherapeutic intervention that can rapidly improve depression symptomatology. We hypothesized that within-person variability in depressive and affective momentary states would be reflected in the following 3 speech features: pitch variability, speech pauses, and speech rate. We parametrized them using the extended Geneva Minimalistic Acoustic Parameter Set (eGeMAPS) from open-source Speech and Music Interpretation by Large-Space Extraction (openSMILE; audEERING GmbH) and extracted them from a transcript. We analyzed the speech features along with self-reported momentary affect ratings, using multilevel linear regression analysis. We analyzed an average of 32 (SD 19.83) assessments per patient. RESULTS Analyses revealed that pitch variability, speech pauses, and speech rate were associated with depression severity, positive affect, valence, and energetic arousal; furthermore, speech pauses and speech rate were associated with negative affect, and speech pauses were additionally associated with calmness. Specifically, pitch variability was negatively associated with improved momentary states (ie, lower pitch variability was linked to lower depression severity as well as higher positive affect, valence, and energetic arousal). Speech pauses were negatively associated with improved momentary states, whereas speech rate was positively associated with improved momentary states. CONCLUSIONS Pitch variability, speech pauses, and speech rate are promising features for the development of clinical prediction technologies to improve patient care as well as timely diagnosis and monitoring of treatment response. Our research is a step forward on the path to developing an automated depression monitoring system, facilitating individually tailored treatments and increased patient empowerment.
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Affiliation(s)
- Lisa-Marie Wadle
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Ulrich W Ebner-Priemer
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Jerome C Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
- Institute for Psychopharmacology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
- Department of Psychiatry, College of Health Sciences, University of Alberta, Edmonton, AB, Canada
| | - Yoshiharu Yamamoto
- Educational Physiology Laboratory, Graduate School of Education, University of Tokyo, Tokyo, Japan
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Matthias F Limberger
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | | | - Tanja Schultz
- Cognitive Systems Lab, University of Bremen, Bremen, Germany
| | - Maria Gilles
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
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4
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Klinger-König J, Streit F, Erhardt A, Kleineidam L, Schmiedek F, Schmidt B, Investigators N, Wagner M, Deckert J, Rietschel M, Berger K, Grabe HJ. The assessment of childhood maltreatment and its associations with affective symptoms in adulthood: Results of the German National Cohort (NAKO). World J Biol Psychiatry 2023; 24:897-908. [PMID: 35302904 DOI: 10.1080/15622975.2021.2011406] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/23/2021] [Indexed: 01/08/2023]
Abstract
OBJECTIVES Childhood maltreatment affects 20-30% of the German population and is an important risk factor for physical and mental diseases in adult life. This study reports first results of the distribution of childhood maltreatment in the population-based mega cohort German National Cohort (NAKO) and estimates associations with affective symptoms in adulthood. METHODS The Childhood Trauma Screener (CTS), a short version of the Childhood Trauma Questionnaire, was used in 83,995 adults (age: 20-72 years; 47.3% men) of NAKO. The five-item CTS assesses the severity of three types of childhood abuse and two types of childhood neglect. RESULTS Overall, 21,131 participants (27.5%) reported at least one type of childhood maltreatment; 14,017 participants (18.3%) reported exactly one type and 250 participants (0.3%) reported all five types of childhood maltreatment. Small differences regarding age (mean absolute deviation around the mean (MAD)=0.47), sex (MAD = 0.07) and education (MAD = 0.82) were observed. The severity of childhood maltreatment was associated with more severe symptoms of depression (β = 0.23), anxiety (β = 0.21) and perceived stress (β = 0.23) in adulthood, validated particularly for emotional abuse and emotional neglect. CONCLUSIONS The distribution of childhood maltreatment in NAKO is similar to previous reports. Additionally, our results suggest differential associations with psychopathological symptoms for the five types of childhood maltreatment.
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Affiliation(s)
- Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
- Max Planck Institute for Psychiatry, Munich, Germany
| | - Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Florian Schmiedek
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- IDeA (Individual Development and Adaptive Education of Children at Risk) Centre, Frankfurt am Main, Germany
- Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig University Giessen, Giessen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, Germany
| | | | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Klaus Berger
- Institute of Epidemiology & Social Medicine, University of Muenster, Muenster, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
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5
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Kleineidam L, Stark M, Riedel-Heller SG, Pabst A, Schmiedek F, Streit F, Rietschel M, Klinger-König J, Grabe HJ, Erhardt A, Gelbrich G, Schmidt B, Berger K, Wagner M. The assessment of cognitive function in the German National Cohort (NAKO) - Associations of demographics and psychiatric symptoms with cognitive test performance. World J Biol Psychiatry 2023; 24:909-923. [PMID: 35175181 DOI: 10.1080/15622975.2021.2011408] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/23/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To describe the cognitive test battery of the German National Cohort (NAKO), a population-based mega cohort of 205,000 randomly selected participants, and to examine associations with demographic variables and selected psychiatric and neurological conditions. METHODS Initial data from 96,401 participants providing data on the cognitive performance measured by a brief cognitive test battery (12-word list recall task, semantic fluency, Stroop test, digit span backwards) was examined. Test results were summarised in cognitive domain scores using exploratory and confirmatory factor analyses. Associations with sociodemographic and psychiatric factors were analysed using linear regression and generalised additive models. RESULTS Cognitive test results were best represented by two domain scores reflecting memory and executive functions. Lower cognitive functions were associated with increasing age and male sex. Higher education and absence of childhood trauma were associated with better cognitive function. Moderate to severe levels of anxiety and depression, and a history of stroke, were related to lower cognitive function with a stronger effect on executive function as compared to memory. Some associations with cognition differed by German language proficiency. CONCLUSIONS The NAKO cognitive test battery and the derived cognitive domain scores for memory and executive function are sensitive measures of cognition.
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Affiliation(s)
- Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Melina Stark
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Florian Schmiedek
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig University Giessen, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Heidelberg University, Medical Faculty Mannheim, Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Heidelberg University, Medical Faculty Mannheim, Mannheim, Germany
| | - Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
- Max Planck Institute for Psychiatry, Munich, Germany
| | - Götz Gelbrich
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Wuerzburg, Germany
- Clinical Trial Center Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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Schmiedek F, Kroehne U, Goldhammer F, Prindle JJ, Lindenberger U, Klinger-König J, Grabe HJ, Riedel-Heller SG, Pabst A, Streit F, Zillich L, Kleineidam L, Wagner M, Rietschel M, Rujescu D, Schmidt B, Investigators N, Berger K. General cognitive ability assessment in the German National Cohort (NAKO) - The block-adaptive number series task. World J Biol Psychiatry 2023; 24:924-935. [PMID: 35175174 DOI: 10.1080/15622975.2021.2011407] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/23/2021] [Indexed: 10/19/2022]
Abstract
Objectives. Evaluate the block-adaptive number series task of reasoning, as a time-efficient proxy of general cognitive ability in the Level-2 sample of the German National Cohort (NAKO), a population-based mega cohort.Methods. The number series task consisted of two blocks of three items each, administered as part of the touchscreen-based assessment. Based on performance on the first three items, a second block of appropriate difficulty was automatically administered. Scoring of performance was based on the Rasch model. Relations of performance scores to age, sex, education, study centre, language proficiency, and scores on other cognitive tasks were examined.Results. Except for one very difficult item, the data of the remaining 14 items showed sufficient fit to the Rasch model (Infit: 0.89-1.04; Outfit: 0.80-1.08). The resulting performance scores (N = 21,056) had a distribution that was truncated at very high levels of ability. The reliability of the performance estimates was satisfactory. Relations to age, sex, education, and the executive function factor of the other cognitive tasks in the NAKO supported the validity.Conclusions. The number series task provides a valid proxy of general cognitive ability for the Level-2 sample of the NAKO, based on a highly time-efficient assessment procedure.
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Affiliation(s)
- Florian Schmiedek
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig University Giessen, Germany
| | - Ulf Kroehne
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
| | - Frank Goldhammer
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- Center for International Student Assessment (ZIB), Frankfurt am Main, Germany
| | - John J Prindle
- School of Social Work, University of Southern California Suzanne Dworak-Peck, Los Angeles, CA, USA
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Germany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Dan Rujescu
- University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry, and Epidemiology (IMIBE), University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | | | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
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7
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Moessinger H, Jacob L, Smith L, Koyanagi A, Kostev K. Psychiatric disorder and its association with gastrointestinal cancer: a retrospective cohort study with 45,842 patients in Germany. J Cancer Res Clin Oncol 2023; 149:14509-14518. [PMID: 37573275 DOI: 10.1007/s00432-023-05229-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 07/29/2023] [Indexed: 08/14/2023]
Abstract
PURPOSE Psychiatric disorders and cancer are both common, and comorbidity has detrimental impacts on cancer outcomes. Previous studies focus on affective disorders which arise after cancer diagnosis, not on the impact of psychiatric disorders on cancer risk. We investigate the association between psychiatric disorders and subsequent gastrointestinal cancer in a large cohort in Germany. METHODS This case-control study used secondary data (electronic medical records) from the national IQVIA Disease Analyzer database. We evaluated the association between previous psychiatric diagnosis in 44,582 matched patients with and without gastrointestinal (GI) cancer. Regression analyses were stratified by psychiatric diagnosis and adjusted by chronic comorbidities and previous psychiatric treatments. RESULTS No association between any previous psychiatric disease and GI cancers was found (OR = 0.98 (0.95-1.02 95%CL, p = 0.39). Previous psychosomatic disorder and GI cancer showed a significant negative association (OR: 0.86, 0.81-0.90 95%CL, p < 0.0001). No association was found between previous diagnosis with depression or PTSD and GI cancer. These results remained consistent when including previous psychiatric treatments in the regression analyses. CONCLUSION Psychiatric disease was not associated with GI cancer risk. Further investigation into the pathways linking psychiatric disease and cancer needs to be conducted, taking into consideration psychiatric treatments administered, to enhance our understanding of the relationship between these two common and devastating diseases.
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Affiliation(s)
| | - Louis Jacob
- Department of Physical Medicine and Rehabilitation, Université Paris Cité, AP-HP, Lariboisière-Fernand Widal Hospital, Paris, France
- Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Université Paris Cité, Paris, France
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, ISCIII, Dr. Antoni Pujadas, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, ISCIII, Dr. Antoni Pujadas, Barcelona, Spain
- Institució Catalana de Recerca I Estudis Avançats (ICREA), Pg. Lluis Companys 23, Barcelona, Spain
| | - Karel Kostev
- Epidemiology, IQVIA, Frankfurt, Germany.
- Department of Gynecology and Obstetrics, University Hospital Marburg, Philipps-University Marburg, Baldingerstraße, 35043, Marburg, Germany.
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Liwinski T, Lang UE. Folate and Its Significance in Depressive Disorders and Suicidality: A Comprehensive Narrative Review. Nutrients 2023; 15:3859. [PMID: 37686891 PMCID: PMC10490031 DOI: 10.3390/nu15173859] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/21/2023] [Accepted: 08/30/2023] [Indexed: 09/10/2023] Open
Abstract
Depressive disorders pose significant challenges to global public health, necessitating effective prevention and management strategies. Notably, the occurrence of suicide frequently coincides with depressive episodes. Suicide is as a paramount global health concern that demands efficacious preventive strategies. Current psychiatric approaches heavily rely on pharmacological interventions but have had limited success in addressing the global burden of mental health issues. Suboptimal nutrition, with its impact on the neuroendocrine system, has been implicated in the underlying pathology of depressive disorders. Folate, a group of water-soluble compounds, plays a crucial role in various central nervous system functions. Depressed individuals often exhibit low levels of serum and red blood cell folate. Multiple studies and systematic reviews have investigated the efficacy of folic acid and its derivative, L-methylfolate, which can cross the blood-brain barrier, as stand-alone or adjunct therapies for depression. Although findings have been mixed, the available evidence generally supports the use of these compounds in depressed individuals. Recent studies have established links between the one-carbon cycle, folate-homocysteine balance, immune system function, glutamate excitation via NMDA (N-methyl-D-aspartate) receptors, and gut microbiome eubiosis in mood regulation. These findings provide insights into the complex neurobiological mechanisms underlying the effects of folate and related compounds in depression. Through a comprehensive review of the existing literature, this study aims to advance our understanding of the therapeutic potential of folic acid and related compounds in depression treatment. It also seeks to explore their role in addressing suicidal tendencies and shed light on the neurobiological mechanisms involved, leveraging the latest discoveries in depression research.
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Affiliation(s)
- Timur Liwinski
- Clinic for Adult Psychiatry, University Psychiatric Clinics, University of Basel, Wilhelm Klein-Strasse 27, CH-4002 Basel, Switzerland;
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Garthus-Niegel S, Kittel-Schneider S. [Fathers and peripartum mental illness: the neglected parent?]. DER NERVENARZT 2023; 94:779-785. [PMID: 37389668 DOI: 10.1007/s00115-023-01508-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/11/2023] [Indexed: 07/01/2023]
Abstract
Fathers also play an important role during pregnancy and the postpartum period, both for the partner and for the child. With changes in society and increasing early involvement in the care of infants, the father-child relationship has become increasingly more important in recent years. There is growing evidence that fathers can also suffer from mental illnesses during their partner's pregnancy and especially after the birth of a child. As the transition to the role of a father is a major change in a man's life, the birth of a child can be a life event that contributes to a first time mental illness or triggers a new episode of an already existing illness. For example, birth complications can also traumatize the attendant fathers and result in trauma sequelae. Peripartum anxiety disorders and depression probably affect approximately 5% of all men and can among other things have a negative impact on the development of exposed children. Specific screening or even treatment services for affected men are still very rare and little research has been performed. Much less is known about the prevalence, risk factors, and treatment of other mental illnesses in fathers, and there is still a great need for research in this respect.
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Affiliation(s)
- Susan Garthus-Niegel
- Institut und Poliklinik für Arbeits- und Sozialmedizin, Technische Universität Dresden, Dresden, Deutschland
- Abteilung für Epidemiologie und Frauen- & Familiengesundheit, Medical School Hamburg, Hamburg, Deutschland
| | - Sarah Kittel-Schneider
- Department of Psychiatry and Neuobehavioural Science, Acute Mental Health Unit, Cork University Hospital, Wilton, University College Cork, Cork, Irland.
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Vonneilich N, Becher H, Bohn B, Brandes B, Castell S, Deckert A, Dragano N, Franzke CW, Führer A, Gastell S, Greiser H, Keil T, Klett-Tammen C, Koch-Gallenkamp L, Krist L, Leitzmann M, Meinke-Franze C, Mikolajczyk R, Moreno Velasquez I, Obi N, Peters A, Pischon T, Reuter M, Schikowski T, Schmidt B, Schulze M, Sergeev D, Stang A, Völzke H, Wiessner C, Zeeb H, Lüdecke D, von dem Knesebeck O. Associations of Migration, Socioeconomic Position and Social Relations With Depressive Symptoms - Analyses of the German National Cohort Baseline Data. Int J Public Health 2023; 68:1606097. [PMID: 37533684 PMCID: PMC10391163 DOI: 10.3389/ijph.2023.1606097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 07/05/2023] [Indexed: 08/04/2023] Open
Abstract
Objectives: We analyze whether the prevalence of depressive symptoms differs among various migrant and non-migrant populations in Germany and to what extent these differences can be attributed to socioeconomic position (SEP) and social relations. Methods: The German National Cohort health study (NAKO) is a prospective multicenter cohort study (N = 204,878). Migration background (assessed based on citizenship and country of birth of both participant and parents) was used as independent variable, age, sex, Social Network Index, the availability of emotional support, SEP (relative income position and educational status) and employment status were introduced as covariates and depressive symptoms (PHQ-9) as dependent variable in logistic regression models. Results: Increased odds ratios of depressive symptoms were found in all migrant subgroups compared to non-migrants and varied regarding regions of origins. Elevated odds ratios decreased when SEP and social relations were included. Attenuations varied across migrant subgroups. Conclusion: The gap in depressive symptoms can partly be attributed to SEP and social relations, with variations between migrant subgroups. The integration paradox is likely to contribute to the explanation of the results. Future studies need to consider heterogeneity among migrant subgroups whenever possible.
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Affiliation(s)
- Nico Vonneilich
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Barbara Bohn
- NAKO e.V., Heidelberg University, Heidelberg, Baden-Württemberg, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology (LG), Bremen, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Center for Infection Research, Helmholtz Association of German Research Centers (HZ), Braunschweig, Niedersachsen, Germany
| | - Andreas Deckert
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Nico Dragano
- Institute for Medical Sociology, University Hospital of Düsseldorf, Düsseldorf, Germany
| | - Claus-Werner Franzke
- Institute for Prevention and Cancer Epidemiology, University of Freiburg Medical Center, Freiburg, Baden-Württemberg, Germany
| | - Amand Führer
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), University Hospital in Halle, Halle, Saxony-Anhalt, Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Potsdam, Brandenburg, Germany
| | - Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, Faculty of Medicine, University of Würzburg, Würzburg, Bavaria, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Carolina Klett-Tammen
- Department of Epidemiology, Helmholtz Center for Infection Research, Helmholtz Association of German Research Centers (HZ), Braunschweig, Niedersachsen, Germany
| | - Lena Koch-Gallenkamp
- Department of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
| | - Michael Leitzmann
- Deptartment of Epidemiology and Preventive Medicine, University Medical Center Regensburg, Regensburg, Bavaria, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), University Hospital in Halle, Halle, Saxony-Anhalt, Germany
| | - Ilais Moreno Velasquez
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Helmholtz Association of German Research Centers (HZ), Berlin, Baden-Wurttemberg, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Center München, Helmholtz Association of German Research Centres (HZ), Neuherberg, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Helmholtz Association of German Research Centers (HZ), Berlin, Baden-Wurttemberg, Germany
- Berlin Institute of Health (BIH), Charité University Medicine Berlin, Berlin, Germany
| | - Marvin Reuter
- Subject Sociology, University of Bamberg, Bamberg, Bavaria, Germany
| | - Tamara Schikowski
- Leibniz-Institut für Umweltmedizinische Forschung (IUF), Dusseldorf, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, North Rhine-Westphalia, Germany
| | - Matthias Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Potsdam, Brandenburg, Germany
- Institute of Nutrition Science, Faculty of Mathematics and Natural Sciences, University of Potsdam, Potsdam, Brandenburg, Germany
| | - Dmitry Sergeev
- Department of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, North Rhine-Westphalia, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Christian Wiessner
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology (LG), Bremen, Germany
| | - Daniel Lüdecke
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Olaf von dem Knesebeck
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Knaust T, Siebler MBD, Tarnogorski D, Skiberowski P, Höllmer H, Moritz C, Schulz H. Cross-sectional field study comparing hippocampal subfields in patients with post-traumatic stress disorder, major depressive disorder, post-traumatic stress disorder with comorbid major depressive disorder, and adjustment disorder using routine clinical data. Front Psychol 2023; 14:1123079. [PMID: 37384185 PMCID: PMC10299169 DOI: 10.3389/fpsyg.2023.1123079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 04/28/2023] [Indexed: 06/30/2023] Open
Abstract
Background The hippocampus is a central brain structure involved in stress processing. Previous studies have linked stress-related mental disorders, such as post-traumatic stress disorder (PTSD) and major depressive disorder (MDD), with changes in hippocampus volume. As PTSD and MDD have similar symptoms, clinical diagnosis relies solely on patients reporting their cognitive and emotional experiences, leading to an interest in utilizing imaging-based data to improve accuracy. Our field study aimed to determine whether there are hippocampal subfield volume differences between stress-related mental disorders (PTSD, MDD, adjustment disorders, and AdjD) using routine clinical data from a military hospital. Methods Participants comprised soldiers (N = 185) with PTSD (n = 50), MDD (n = 70), PTSD with comorbid MDD (n = 38), and AdjD (n = 27). The hippocampus was segmented and volumetrized into subfields automatically using FreeSurfer. We used ANCOVA models with estimated total intracranial volume as a covariate to determine whether there were volume differences in the hippocampal subfields cornu ammonis 1 (CA1), cornu ammonis 2/3 (CA2/3), and dentate gyrus (DG) among patients with PTSD, MDD, PTSD with comorbid MDD, and AdjD. Furthermore, we added self-reported symptom duration and previous psychopharmacological and psychotherapy treatment as further covariates to examine whether there were associations with CA1, CA2/3, and DG. Results No significant volume differences in hippocampal subfields between stress-related mental disorders were found. No significant associations were detected between symptom duration, psychopharmacological treatment, psychotherapy, and the hippocampal subfields. Conclusion Hippocampal subfields may distinguish stress-related mental disorders; however, we did not observe any subfield differences. We provide several explanations for the non-results and thereby inform future field studies.
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Affiliation(s)
- Thiemo Knaust
- Center for Mental Health, Bundeswehr Hospital Hamburg, Hamburg, Germany
| | | | | | | | - Helge Höllmer
- Center for Mental Health, Bundeswehr Hospital Hamburg, Hamburg, Germany
| | - Christian Moritz
- Department of Radiology, Bundeswehr Hospital Hamburg, Hamburg, Germany
| | - Holger Schulz
- Department of Medical Psychology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Streit F, Völker MP, Klinger-König J, Zillich L, Frank J, Reinhard I, Foo JC, Witt SH, Sirignano L, Becher H, Obi N, Riedel O, Do S, Castell S, Hassenstein MJ, Karch A, Stang A, Schmidt B, Schikowski T, Stahl-Pehe A, Brenner H, Perna L, Greiser KH, Kaaks R, Michels KB, Franzke CW, Peters A, Fischer B, Konzok J, Mikolajczyk R, Führer A, Keil T, Fricke J, Willich SN, Pischon T, Völzke H, Meinke-Franze C, Loeffler M, Wirkner K, Berger K, Grabe HJ, Rietschel M. The interplay of family history of depression and early trauma: associations with lifetime and current depression in the German national cohort (NAKO). FRONTIERS IN EPIDEMIOLOGY 2023; 3:1099235. [PMID: 38523800 PMCID: PMC10959537 DOI: 10.3389/fepid.2023.1099235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 04/28/2023] [Indexed: 03/26/2024]
Abstract
Introduction Family history of depression and childhood maltreatment are established risk factors for depression. However, how these factors are interrelated and jointly influence depression risk is not well understood. The present study investigated (i) if childhood maltreatment is associated with a family history of depression (ii) if family history and childhood maltreatment are associated with increased lifetime and current depression, and whether both factors interact beyond their main effects, and (iii) if family history affects lifetime and current depression via childhood maltreatment. Methods Analyses were based on a subgroup of the first 100,000 participants of the German National Cohort (NAKO), with complete information (58,703 participants, mean age = 51.2 years, 53% female). Parental family history of depression was assessed via self-report, childhood maltreatment with the Childhood Trauma Screener (CTS), lifetime depression with self-reported physician's diagnosis and the Mini-International Neuropsychiatric Interview (MINI), and current depressive symptoms with the depression scale of the Patient Health Questionnaire (PHQ-9). Generalized linear models were used to test main and interaction effects. Mediation was tested using causal mediation analyses. Results Higher frequencies of the childhood maltreatment measures were found in subjects reporting a positive family history of depression. Family history and childhood maltreatment were independently associated with increased depression. No statistical interactions of family history and childhood maltreatment were found for the lifetime depression measures. For current depressive symptoms (PHQ-9 sum score), an interaction was found, with stronger associations of childhood maltreatment and depression in subjects with a positive family history. Childhood maltreatment was estimated to mediate 7%-12% of the effect of family history on depression, with higher mediated proportions in subjects whose parents had a depression onset below 40 years. Abuse showed stronger associations with family history and depression, and higher mediated proportions of family history effects on depression than neglect. Discussion The present study confirms the association of childhood maltreatment and family history with depression in a large population-based cohort. While analyses provide little evidence for the joint effects of both risk factors on depression beyond their individual effects, results are consistent with family history affecting depression via childhood maltreatment to a small extent.
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Affiliation(s)
- Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maja P. Völker
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Iris Reinhard
- Department of Biostatistics, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jerome C. Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Heiko Becher
- Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Oliver Riedel
- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS, Bremen, Deutschland
| | - Stefanie Do
- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS, Bremen, Deutschland
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
| | - Max J. Hassenstein
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany
- PhD Programme “Epidemiology”, Braunschweig-Hannover, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Tamara Schikowski
- IUF—Leibniz Institute for Environmental Medicine, Düsseldorf, Germany
| | - Anna Stahl-Pehe
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, University of Düsseldorf, Düsseldorf, Germany
| | - Hermann Brenner
- Network Ageing Research (NAR), Heidelberg University, Heidelberg, Germany
- Division of Clinical Epidemiology & Ageing Research, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Laura Perna
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Karin Halina Greiser
- German Cancer Research Centre (DKFZ) Heidelberg, Div. of Cancer Epidemiology, Heidelberg, Germany
| | - Rudolf Kaaks
- German Cancer Research Centre (DKFZ) Heidelberg, Div. of Cancer Epidemiology, Heidelberg, Germany
| | - Karin B. Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Claus-Werner Franzke
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum Munchen, German Research Centre for Environmental Health, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julian Konzok
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Centre for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, Germany
- German Center for Mental Health, Site Jena-Magdeburg-Halle, Jena, Germany
| | - Amand Führer
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Centre for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Institute for Clinical Epidemiology and Biometry, University of Wuerzburg, Wuerzburg, Germany
- State Institute of Health, Bavarian Health and Food Safety Authority, Bad Kissingen, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan N. Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tobias Pischon
- Max-Delbrueck-Centre for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Max-Delbrueck-Centre for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany
- Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Leipzig, Germany
| | - Kerstin Wirkner
- Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Leipzig, Germany
| | - Klaus Berger
- Institute of Epidemiology & Social Medicine, University of Muenster, Muenster, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Krause E, Vollmer M, Wittfeld K, Weihs A, Frenzel S, Dörr M, Kaderali L, Felix SB, Stubbe B, Ewert R, Völzke H, Grabe HJ. Evaluating heart rate variability with 10 second multichannel electrocardiograms in a large population-based sample. Front Cardiovasc Med 2023; 10:1144191. [PMID: 37252117 PMCID: PMC10213655 DOI: 10.3389/fcvm.2023.1144191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/27/2023] [Indexed: 05/31/2023] Open
Abstract
Introduction Heart rate variability (HRV), defined as the variability of consecutive heart beats, is an important biomarker for dysregulations of the autonomic nervous system (ANS) and is associated with the development, course, and outcome of a variety of mental and physical health problems. While guidelines recommend using 5 min electrocardiograms (ECG), recent studies showed that 10 s might be sufficient for deriving vagal-mediated HRV. However, the validity and applicability of this approach for risk prediction in epidemiological studies is currently unclear to be used. Methods This study evaluates vagal-mediated HRV with ultra-short HRV (usHRV) based on 10 s multichannel ECG recordings of N = 4,245 and N = 2,392 participants of the Study of Health in Pomerania (SHIP) from two waves of the SHIP-TREND cohort, additionally divided into a healthy and health-impaired subgroup. Association of usHRV with HRV derived from long-term ECG recordings (polysomnography: 5 min before falling asleep [N = 1,041]; orthostatic testing: 5 min of rest before probing an orthostatic reaction [N = 1,676]) and their validity with respect to demographic variables and depressive symptoms were investigated. Results High correlations (r = .52-.75) were revealed between usHRV and HRV. While controlling for covariates, usHRV was the strongest predictor for HRV. Furthermore, the associations of usHRV and HRV with age, sex, obesity, and depressive symptoms were similar. Conclusion This study provides evidence that usHRV derived from 10 s ECG might function as a proxy of vagal-mediated HRV with similar characteristics. This allows the investigation of ANS dysregulation with ECGs that are routinely performed in epidemiological studies to identify protective and risk factors for various mental and physical health problems.
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Affiliation(s)
- Elischa Krause
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Marcus Vollmer
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
| | - Antoine Weihs
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Lars Kaderali
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Stephan B. Felix
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Beate Stubbe
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Ralf Ewert
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
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14
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Framework and baseline examination of the German National Cohort (NAKO). Eur J Epidemiol 2022; 37:1107-1124. [PMID: 36260190 PMCID: PMC9581448 DOI: 10.1007/s10654-022-00890-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/14/2022] [Indexed: 11/25/2022]
Abstract
The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years.
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Polak M, Nowicki GJ, Naylor K, Piekarski R, Ślusarska B. The Prevalence of Depression Symptoms and Their Socioeconomic and Health Predictors in a Local Community with a High Deprivation: A Cross-Sectional Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811797. [PMID: 36142069 PMCID: PMC9517619 DOI: 10.3390/ijerph191811797] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/09/2022] [Accepted: 09/16/2022] [Indexed: 06/01/2023]
Abstract
Depression is a heterogeneous and etiologically complex psychiatric syndrome thatshows a strong sexual dimorphism and often impacts people with a low socioeconomic status (SES). The aim of the study was to estimate the occurrence of depression symptoms in a local community with a high deprivation rate, the example being the inhabitants of the JanówLubelski County in eastern Poland. A cross-sectional study was carried out on 3752 people aged between 35 and 64. The prevalence of depression symptoms was assessed using the Patient Health Questionnaire-9 (PHQ-9) scale. In the screening for depression symptoms in the entire population we studied, the risk of depression symptoms was 16.1% (n = 605), with women having a significantly higher mean score than men (p < 0.001). Significant predictors associated with the achievement of 10 points and more in the PHQ-9 assessment in the case of women and men were: living alone, education and having comorbidities. Moreover, female participants living in rural areas were significantly more likely to exhibit depression symptoms, whereas smoking was a significant predictor of depressive symptoms in men. It was observed that in the case of obese women, the chance of being in the higher category of the PHQ-9 assessment was 1.41 times higher than in women with normal body weight. However, in the case of men, an increase in age by one year increased the chance of being in a higher category by 1.02 times. Moreover, the odds of falling into a higher category, as assessed by the PHQ-9 questionnaire, among men who drink alcohol more than once a week was 1.7 times higher than in men who do not drink or consume alcohol occasionally. Summarising the results of studies conducted in a local community characterised by a high deprivation rate, socioeconomic and health variables related to SES significantly impacted the incidence of depression, but they differ in terms of gender.
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Affiliation(s)
- Maciej Polak
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Skawińska 8 Str., PL-31-066 Krakow, Poland
| | - Grzegorz Józef Nowicki
- Department of Family and Geriatric Nursing, Medical University of Lublin, Staszica 6 Str., PL-20-081 Lublin, Poland
| | - Katarzyna Naylor
- Department of Didactics and Medical Simulation, Medical University of Lublin, Chodźki 4 Str., PL-20-093 Lublin, Poland
| | - Robert Piekarski
- Diabetology with Endocrine—Metabolic Laboratory, Department of Paediatric Endocrinology, Medical University of Lublin, Gębali 6 Str., 20-093 Lublin, Poland
| | - Barbara Ślusarska
- Department of Family and Geriatric Nursing, Medical University of Lublin, Staszica 6 Str., PL-20-081 Lublin, Poland
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Rickmann AM, Senapati J, Kovalenko O, Peters A, Bamberg F, Wachinger C. AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies. BMC Med Imaging 2022; 22:168. [PMID: 36115938 PMCID: PMC9482195 DOI: 10.1186/s12880-022-00893-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 09/08/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Whole-body imaging has recently been added to large-scale epidemiological studies providing novel opportunities for investigating abdominal organs. However, the segmentation of these organs is required beforehand, which is time consuming, particularly on such a large scale. METHODS We introduce AbdomentNet, a deep neural network for the automated segmentation of abdominal organs on two-point Dixon MRI scans. A pre-processing pipeline enables to process MRI scans from different imaging studies, namely the German National Cohort, UK Biobank, and Kohorte im Raum Augsburg. We chose a total of 61 MRI scans across the three studies for training an ensemble of segmentation networks, which segment eight abdominal organs. Our network presents a novel combination of octave convolutions and squeeze and excitation layers, as well as training with stochastic weight averaging. RESULTS Our experiments demonstrate that it is beneficial to combine data from different imaging studies to train deep neural networks in contrast to training separate networks. Combining the water and opposed-phase contrasts of the Dixon sequence as input channels, yields the highest segmentation accuracy, compared to single contrast inputs. The mean Dice similarity coefficient is above 0.9 for larger organs liver, spleen, and kidneys, and 0.71 and 0.74 for gallbladder and pancreas, respectively. CONCLUSIONS Our fully automated pipeline provides high-quality segmentations of abdominal organs across population studies. In contrast, a network that is only trained on a single dataset does not generalize well to other datasets.
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Affiliation(s)
- Anne-Marie Rickmann
- Lab for Artificial Intelligence in Medical Imaging, Department of Medicine, Ludwig Maximilians University Munich, Munich, Germany.
- Lab for Artificial Intelligence in Medical Imaging, Institute of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
| | - Jyotirmay Senapati
- Lab for Artificial Intelligence in Medical Imaging, Department of Medicine, Ludwig Maximilians University Munich, Munich, Germany
| | - Oksana Kovalenko
- Lab for Artificial Intelligence in Medical Imaging, Institute of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum Munich, Munich, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University Freiburg, Freiburg, Germany
| | - Christian Wachinger
- Lab for Artificial Intelligence in Medical Imaging, Department of Medicine, Ludwig Maximilians University Munich, Munich, Germany
- Lab for Artificial Intelligence in Medical Imaging, Institute of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
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Wittekind DA, Kratzsch J, Biemann R, Mergl R, Riedel-Heller S, Witte V, Villringer A, Kluge M. Association Between Self-rating Depression Scores and Total Ghrelin and Adipokine Serum Levels in a Large Population-Based Sample. Front Psychiatry 2022; 13:891325. [PMID: 35633817 PMCID: PMC9130496 DOI: 10.3389/fpsyt.2022.891325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 04/14/2022] [Indexed: 11/13/2022] Open
Abstract
Background Ghrelin and the adipokines leptin and adiponectin have been suggested to be involved in mood and anxiety regulation and to be altered in affective disorders. However, studies investigating the association between ghrelin, leptin and adiponectin and depressive symptomatology are scarce but might contribute to a better understanding of their involvement in mood regulation. We thus aimed investigating the association between depressive symptomatology and total ghrelin as well as leptin and adiponectin serum levels in a large population-based sample. Methods Total serum ghrelin, adiponectin and leptin levels were determined in 1666 subjects of a population-based cross-sectional study ("LIFE"). The Center for Epidemiological Studies Depression Scale (CES-D) and the Inventory of Depressive Symptoms - Self Rating (IDS-SR) were administered. Multiple linear regression analyses were conducted to examine the association between total serum ghrelin, leptin and adiponectin and the intensity of depressive symptoms. Results In the total sample (n = 1,092), neither ghrelin nor leptin or adiponectin serum levels showed a significant association with CES-D or IDS-SR sum scores (N = 1,092) or in depressed/non-depressed subjects. Leptin serum levels showed a significantly positive association with IDS-SR sum scores in elderly men (≥60 years; β = 0.122, 95% CI: 0.009; 0.236; p = 0.035). Conclusion Our study suggests that peripheral levels of ghrelin and adipokines in a cross-sectional study design might not be sufficient to measure their involvement in depression, suggesting that associations are more complex and multi-layered.
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Affiliation(s)
| | - Jürgen Kratzsch
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Ronald Biemann
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Roland Mergl
- Institute of Psychology, Universität der Bundeswehr München, Neubiberg, Germany
| | - Steffi Riedel-Heller
- Faculty of Medicine, Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Veronika Witte
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Cognitive and Brain Sciences, Leipzig, Germany
| | - Michael Kluge
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
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