@article{BuergerSchoenfeldScheineretal.2023,
  author    = {B{\"u}rger, Arne and Schoenfeld, Cornelia von and Scheiner, Christin and Seidel, Alexandra and Wasserscheid, Antonia and Gad, Doreya and Kittel-Schneider, Sarah and Romanos, Marcel and Reiter, Andrea M. F.},
  title     = {Universal prevention for non-suicidal self-injury in adolescents is scarce - A systematic review},
  series = {Frontiers in Psychiatry},
  volume    = {14},
  journal   = {Frontiers in Psychiatry},
  doi       = {10.3389/fpsyt.2023.1130610},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357490},
  year      = {2023},
  abstract  = {Non-suicidal self-injury (NSSI) during adolescence is a high-risk marker for the development and persistence of mental health problems and has been recognized as a significant public health problem. Whereas targeted prevention has indeed shown to be effective in reducing NSSI and improve mental health problems, access to such programs is limited. By face validity, universal prevention of NSSI seems an ideal starting point for a stepped-care model to circumvent a lack of resources in the medical care system. However, it is yet unclear how effective such approaches are. Here, we provide a summary of existing work on universal prevention of NSSI in adolescents younger than 21 years based on a systematic literature search. We found that only seven studies are available. None of the programs evaluated was found to be effective in reducing the incidence or frequency of NSSI. After providing a comprehensive summary of the existing work, we evaluate the fact that existing work primarily focusses on selected/targeted prevention and on psychoeducational methods. We derive implications for future directions in the field of universal prevention of NSSI.},
  language  = {en}
}
@article{HaberstumpfLeinweberLaueretal.2022,
  author    = {Haberstumpf, Sophia and Leinweber, Jonas and Lauer, Martin and Polak, Thomas and Deckert, J{\"u}rgen and Herrmann, Martin J.},
  title     = {Factors associated with dropout in the longitudinal Vogel study of cognitive decline},
  series = {The European Journal of Neuroscience},
  volume    = {56},
  journal   = {The European Journal of Neuroscience},
  number    = {9},
  doi       = {10.1111/ejn.15446},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-318945},
  pages     = {5587 -- 5600},
  year      = {2022},
  abstract  = {Dementia, including Alzheimer's disease, is a growing problem worldwide. Prevention or early detection of the disease or a prodromal cognitive decline is necessary. By means of our long-term follow-up 'Vogel study', we aim to predict the pathological cognitive decline of a German cohort (mean age was 73.9 ± 1.55 years at first visit) with three measurement time points within 6 years per participant. Especially in samples of the elderly and subjects with chronic or co-morbid diseases, dropouts are one of the biggest problems of long-term studies. In contrast to the large number of research articles conducted on the course of dementia, little research has been done on the completion of treatment. To ensure unbiased and reliable predictors of cognitive decline from study completers, our objective was to determine predictors of dropout. We conducted multivariate analyses of covariance and multinomial logistic regression analyses to compare and predict the subject's dropout behaviour at the second visit 3 years after baseline (full participation, partial participation and no participation/dropout) with neuropsychiatric, cognitive, blood and lifestyle variables. Lower performance in declarative memory, attention and visual-spatial processing predicted dropout rather than full participation. Lower performance in visual-spatial processing predicted partial participation as opposed to full participation. Furthermore, lower performance in mini-mental status examination predicted whether subjects dropped out or participated partially instead of full participation. Baseline cognitive parameters are associated with dropouts at follow-up with a loss of impaired participants. We expect a bias into a healthier sample over time.},
  language  = {en}
}