@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{EiseleBlozikStoerketal.2013,
  author    = {Eisele, Marion and Blozik, Eva and St{\"o}rk, Stefan and Tr{\"a}der, Jens-Martin and Herrmann-Lingen, Christoph and Scherer, Martin},
  title     = {Recognition of depression and anxiety and their association with quality of life, hospitalization and mortality in primary care patients with heart failure - study protocol of a longitudinal observation study},
  series = {BMC Family Practice},
  volume    = {14},
  journal   = {BMC Family Practice},
  number    = {180},
  issn      = {1471-2296},
  doi       = {10.1186/1471-2296-14-180},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121881},
  year      = {2013},
  abstract  = {Background: International disease management guidelines recommend the regular assessment of depression and anxiety in heart failure patients. Currently there is little data on the effect of screening for depression and anxiety on the quality of life and the prognosis of heart failure (HF). We will investigate the association between the recognition of current depression/anxiety by the general practitioner (GP) and the quality of life and the patients' prognosis. Methods/Design: In this multicenter, prospective, observational study 3,950 patients with HF are recruited by general practices in Germany. The patients fill out questionnaires at baseline and 12-month follow-up. At baseline the GPs are interviewed regarding the somatic and psychological comorbidities of their patients. During the follow-up assessment, data on hospitalization and mortality are provided by the general practice. Based on baseline data, the patients are allocated into three observation groups: HF patients with depression and/or anxiety recognized by their GP (P+/+), those with depression and/or anxiety not recognized (P+/-) and patients without depression and/or anxiety (P-/-). We will perform multivariate regression models to investigate the influence of the recognition of depression and/or anxiety on quality of life at 12 month follow-up, as well as its influences on the prognosis (hospital admission, mortality). Discussion: We will display the frequency of GP-acknowledged depression and anxiety and the frequency of installed therapeutic strategies. We will also describe the frequency of depression and anxiety missed by the GP and the resulting treatment gap. Effects of correctly acknowledged and missed depression/anxiety on outcome, also in comparison to the outcome of subjects without depression/anxiety will be addressed. In case results suggest a treatment gap of depression/anxiety in patients with HF, the results of this study will provide methodological advice for the efficient planning of further interventional research.},
  language  = {en}
}