@article{WeissGruendahlDeckertetal.2023, author = {Weiß, Martin and Gr{\"u}ndahl, Marthe and Deckert, J{\"u}rgen and Eichner, Felizitas A. and Kohls, Mirjam and St{\"o}rk, Stefan and Heuschmann, Peter U. and Hein, Grit}, title = {Differential network interactions between psychosocial factors, mental health, and health-related quality of life in women and men}, series = {Scientific Reports}, volume = {13}, journal = {Scientific Reports}, organization = {STAAB-COVID Study Group}, doi = {10.1038/s41598-023-38525-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357858}, year = {2023}, abstract = {Psychosocial factors affect mental health and health-related quality of life (HRQL) in a complex manner, yet gender differences in these interactions remain poorly understood. We investigated whether psychosocial factors such as social support and personal and work-related concerns impact mental health and HRQL differentially in women and men during the first year of the COVID-19 pandemic. Between June and October 2020, the first part of a COVID-19-specific program was conducted within the "Characteristics and Course of Heart Failure Stages A-B and Determinants of Progression (STAAB)" cohort study, a representative age- and gender-stratified sample of the general population of W{\"u}rzburg, Germany. Using psychometric networks, we first established the complex relations between personal social support, personal and work-related concerns, and their interactions with anxiety, depression, and HRQL. Second, we tested for gender differences by comparing expected influence, edge weight differences, and stability of the networks. The network comparison revealed a significant difference in the overall network structure. The male (N = 1370) but not the female network (N = 1520) showed a positive link between work-related concern and anxiety. In both networks, anxiety was the most central variable. These findings provide further evidence that the complex interplay of psychosocial factors with mental health and HRQL decisively depends on gender. Our results are relevant for the development of gender-specific interventions to increase resilience in times of pandemic crisis.}, language = {en} } @article{GruendahlWeissMaieretal.2022, author = {Gr{\"u}ndahl, Marthe and Weiß, Martin and Maier, Lisa and Hewig, Johannes and Deckert, J{\"u}rgen and Hein, Grit}, title = {Construction and validation of a scale to measure loneliness and isolation during social distancing and its effect on mental health}, series = {Frontiers in Psychiatry}, volume = {13}, journal = {Frontiers in Psychiatry}, issn = {1664-0640}, doi = {10.3389/fpsyt.2022.798596}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-269446}, year = {2022}, abstract = {A variety of factors contribute to the degree to which a person feels lonely and socially isolated. These factors may be particularly relevant in contexts requiring social distancing, e.g., during the COVID-19 pandemic or in states of immunodeficiency. We present the Loneliness and Isolation during Social Distancing (LISD) Scale. Extending existing measures, the LISD scale measures both state and trait aspects of loneliness and isolation, including indicators of social connectedness and support. In addition, it reliably predicts individual differences in anxiety and depression. Data were collected online from two independent samples in a social distancing context (the COVID-19 pandemic). Factorial validation was based on exploratory factor analysis (EFA; Sample 1, N = 244) and confirmatory factor analysis (CFA; Sample 2, N = 304). Multiple regression analyses were used to assess how the LISD scale predicts state anxiety and depression. The LISD scale showed satisfactory fit in both samples. Its two state factors indicate being lonely and isolated as well as connected and supported, while its three trait factors reflect general loneliness and isolation, sociability and sense of belonging, and social closeness and support. Our results imply strong predictive power of the LISD scale for state anxiety and depression, explaining 33 and 51\% of variance, respectively. Anxiety and depression scores were particularly predicted by low dispositional sociability and sense of belonging and by currently being more lonely and isolated. In turn, being lonely and isolated was related to being less connected and supported (state) as well as having lower social closeness and support in general (trait). We provide a novel scale which distinguishes between acute and general dimensions of loneliness and social isolation while also predicting mental health. The LISD scale could be a valuable and economic addition to the assessment of mental health factors impacted by social distancing.}, language = {en} } @article{ZechScherfClavelDanielsetal.2021, author = {Zech, Linda D. and Scherf-Clavel, Maike and Daniels, Christine and Schwab, Michael and Deckert, J{\"u}rgen and Unterecker, Stefan and Herr, Alexandra S.}, title = {Patients with higher vitamin D levels show stronger improvement of self-reported depressive symptoms in psychogeriatric day-care setting}, series = {Journal of Neural Transmission}, volume = {128}, journal = {Journal of Neural Transmission}, number = {8}, issn = {1435-1463}, doi = {10.1007/s00702-021-02385-1}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-268525}, pages = {1233-1238}, year = {2021}, abstract = {Depression is a common psychiatric disorder among geriatric patients that decreases the quality of life and increases morbidity and mortality. Vitamin D as a neuro-steroid hormone might play a role in the onset and treatment of depression. In the present study, the association between depressive symptoms and vitamin D concentration in serum was evaluated. 140 patients of a psychogeriatric day-care unit were included. The geriatric depression scale (GDS) and the Hamilton depression rating scale (HDRS) were assessed at the beginning and end of treatment, GDS scores additionally 6 weeks after discharge from the day-care unit. Vitamin D levels were measured at the beginning of the treatment, routinely. Patients with levels below 30 µg/L were treated with 1000 IU vitamin D per day. There was no association between the severity of depressive symptoms and the concentration of vitamin D at the beginning of the treatment. Patients with higher vitamin D levels showed a stronger decline of depressive symptoms measured by the GDS during their stay in the day-care unit. We provide evidence that vitamin D serum levels might influence antidepressant therapy response in a geriatric population. Prospective studies are necessary to determine which patients may profit from add-on vitamin D therapy.}, language = {en} } @article{KingslakeDiasDawsonetal.2017, author = {Kingslake, Jonathan and Dias, Rebecca and Dawson, Gerard R. and Simon, Judit and Goodwin, Guy M. and Harmer, Catherine J. and Morriss, Richard and Brown, Susan and Guo, Boliang and Dourish, Colin T. and Ruh{\´e}, Henricus G. and Lever, Anne G. and Veltman, Dick J. and van Schaik, Anneke and Deckert, J{\"u}rgen and Reif, Andreas and St{\"a}blein, Michael and Menke, Andreas and Gorwood, Philip and Voegeli, G{\´e}raldine and Perez, Victor and Browning, Michael}, title = {The effects of using the PReDicT Test to guide the antidepressant treatment of depressed patients: study protocol for a randomised controlled trial}, series = {Trials}, volume = {18}, journal = {Trials}, doi = {10.1186/s13063-017-2247-2}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-173012}, year = {2017}, abstract = {Background Antidepressant medication is commonly used to treat depression. However, many patients do not respond to the first medication prescribed and improvements in symptoms are generally only detectable by clinicians 4-6 weeks after the medication has been initiated. As a result, there is often a long delay between the decision to initiate an antidepressant medication and the identification of an effective treatment regimen. Previous work has demonstrated that antidepressant medications alter subtle measures of affective cognition in depressed patients, such as the appraisal of facial expression. Furthermore, these cognitive effects of antidepressants are apparent early in the course of treatment and can also predict later clinical response. This trial will assess whether an electronic test of affective cognition and symptoms (the Predicting Response to Depression Treatment Test; PReDicT Test) can be used to guide antidepressant treatment in depressed patients and, therefore, hasten treatment response compared to a control group of patients treated as usual. Methods/design The study is a randomised, two-arm, multi-centre, open-label, clinical investigation of a medical device, the PReDicT Test. It will be conducted in five European countries (UK, France, Spain, Germany and the Netherlands) in depressed patients who are commencing antidepressant medication. Patients will be randomised to treatment guided by the PReDicT Test (PReDicT arm) or to Treatment as Usual (TaU arm). Patients in the TaU arm will be treated as per current standard guidelines in their particular country. Patients in the PReDicT arm will complete the PReDicT Test after 1 (and if necessary, 2) weeks of treatment. If the test indicates non-response to the treatment, physicians will be advised to immediately alter the patient's antidepressant therapy by dose escalation or switching to another compound. The primary outcome of the study is the proportion of patients showing a clinical response (defined as 50\% or greater decrease in baseline scores of depressionmeasured using the Quick Inventory of Depressive Symptoms - Self-Rated questionnaire) at week 8. Health economic and acceptability data will also be collected and analysed. Discussion This trial will test the clinical efficacy, cost-effectiveness and acceptability of using the novel PReDicT Test to guide antidepressant treatment selection in depressed patients. Trial registration ClinicalTrials.gov, ID: NCT02790970. Registered on 30 March 2016.}, language = {en} }