@phdthesis{Wang2016,
  author    = {Wang, Victor-C.},
  title     = {Injury and illness risk factors for elite athletes in training environment},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-100925},
  school      = {Universit{\"a}t Potsdam},
  pages     = {viii, 84, ix},
  year      = {2016},
  abstract  = {Since 1998, elite athletes' sport injuries have been monitored in single sport event, which leads to the development of first comprehensive injury surveillance system in multi-sport Olympic Games in 2008. However, injury and illness occurred in training phases have not been systematically studied due to its multi-facets, potentially interactive risk related factors. The present thesis aim to address issues of feasibility of establishing a validated measure for injury/illness, training environment and psychosocial risk factors by creating the evaluation tool namely risk of injury questionnaire (Risk-IQ) for elite athletes, which based on IOC consensus statement 2009 recommended content of preparticipation evaluation(PPE) and periodic health exam (PHE). A total of 335 top level athletes and a total of 88 medical care providers from Germany and Taiwan participated in tow "cross-sectional plus longitudinal" Risk-IQ and MCPQ surveys respectively. Four categories of injury/illness related risk factors questions were asked in Risk-IQ for athletes while injury risk and psychological related questions were asked in MCPQ for MCP cohorts. Answers were quantified scales wise/subscales wise before analyzed with other factors/scales. In addition, adapted variables such as sport format were introduced for difference task of analysis. Validated with 2-wyas translation and test-retest reliabilities, the Risk-IQ was proved to be in good standard which were further confirmed by analyzed results from official surveys in both Germany and Taiwan. The result of Risk-IQ revealed that elite athletes' accumulated total injuries, in general, were multi-factor dependent; influencing factors including but not limited to background experiences, medical history, PHE and PPE medical resources as well as stress from life events. Injuries of different body parts were sport format and location specific. Additionally, medical support of PPE and PHE indicated significant difference between German and Taiwan. The result of the present thesis confirmed that it is feasible to construct a comprehensive evalua-tion instrument for heterogeneous elite athletes cohorts' risk factor analysis for injury/illness oc-curred during their non-competition periods. In average and with many moderators involved, Ger-man elite athletes have superior medical care support yet suffered more severe injuries than Tai-wanese counterparts. Opinions of injury related psychological issues reflected differently on vari-ous MCP groups irrespective of different nationalities. In general, influencing factors and interac-tions existed among relevant factors in both studies which implied further investigation with multiple regression analysis is needed for better understanding.},
  language  = {en}
}
@misc{KonradBohlkenRappetal.2016,
  author    = {Konrad, Marcel and Bohlken, Jens and Rapp, Michael Armin and Kostev, Karel},
  title     = {Depression risk in patients with heart failure in primary care practices in Germany},
  series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {458},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-414159},
  pages     = {6},
  year      = {2016},
  abstract  = {Background: The goal of this study was to estimate the prevalence of and risk factors for diagnosed depression in heart failure (HF) patients in German primary care practices. Methods: This study was a retrospective database analysis in Germany utilizing the Disease Analyzer (R) Database (IMS Health, Germany). The study population included 132,994 patients between 40 and 90 years of age from 1,072 primary care practices. The observation period was between 2004 and 2013. Follow-up lasted up to five years and ended in April 2015. A total of 66,497 HF patients were selected after applying exclusion criteria. The same number of 66,497 controls were chosen and were matched (1:1) to HF patients on the basis of age, sex, health insurance, depression diagnosis in the past, and follow-up duration after index date. Results: HF was a strong risk factor for diagnosed depression (p < 0.0001). A total of 10.5\% of HF patients and 6.3\% of matched controls developed depression after one year of follow-up (p < 0.001). Depression was documented in 28.9\% of the HF group and 18.2\% of the control group after the five-year follow-up (p < 0.001). Cancer, dementia, osteoporosis, stroke, and osteoarthritis were associated with a higher risk of developing depression. Male gender and private health insurance were associated with lower risk of depression. Conclusions: The risk of diagnosed depression is significantly increased in patients with HF compared to patients without HF in primary care practices in Germany.},
  language  = {en}
}
@misc{BookerJacobRappetal.2016,
  author    = {Booker, Anke and Jacob, Louis E. C. and Rapp, Michael Armin and Bohlken, Jens and Kostev, Karel},
  title     = {Risk factors for dementia diagnosis in German primary care practices},
  series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {449},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-413441},
  pages     = {7},
  year      = {2016},
  abstract  = {Background: Dementia is a psychiatric condition the development of which is associated with numerous aspects of life. Our aim was to estimate dementia risk factors in German primary care patients. Methods: The case-control study included primary care patients (70-90 years) with first diagnosis of dementia (all-cause) during the index period (01/2010-12/2014) (Disease Analyzer, Germany), and controls without dementia matched (1:1) to cases on the basis of age, sex, type of health insurance, and physician. Practice visit records were used to verify that there had been 10 years of continuous follow-up prior to the index date. Multivariate logistic regression models were fitted with dementia as a dependent variable and the potential predictors. Results: The mean age for the 11,956 cases and the 11,956 controls was 80.4 (SD: 5.3) years. 39.0\% of them were male and 1.9\% had private health insurance. In the multivariate regression model, the following variables were linked to a significant extent with an increased risk of dementia: diabetes (OR: 1.17; 95\% CI: 1.10-1.24), lipid metabolism (1.07; 1.00-1.14), stroke incl. TIA (1.68; 1.57-1.80), Parkinson's disease (PD) (1.89; 1.64-2.19), intracranial injury (1.30; 1.00-1.70), coronary heart disease (1.06; 1.00-1.13), mild cognitive impairment (MCI) (2.12; 1.82-2.48), mental and behavioral disorders due to alcohol use (1.96; 1.50-2.57). The use of statins (OR: 0.94; 0.90-0.99), proton-pump inhibitors (PPI) (0.93; 0.90-0.97), and antihypertensive drugs (0.96, 0.94-0.99) were associated with a decreased risk of developing dementia. Conclusions: Risk factors for dementia found in this study are consistent with the literature. Nevertheless, the associations between statin, PPI and antihypertensive drug use, and decreased risk of dementia need further investigations.},
  language  = {en}
}