@article{BorgesO'ConnorPhillipsetal.2014,
  author    = {Borges, Alvaro H. and O'Connor, Jemma L. and Phillips, Andrew N. and Baker, Jason V. and Vjecha, Michael J. and Losso, Marcelo H. and Klinker, Hartwig and Lopardo, Gustavo and Williams, Ian and Lundgren, Jens D.},
  title     = {Factors Associated with D-Dimer Levels in HIV-Infected Individuals},
  series = {PLOS ONE},
  volume    = {9},
  journal   = {PLOS ONE},
  number    = {3},
  doi       = {10.1371/journal.pone.0090978},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117094},
  pages     = {e90978},
  year      = {2014},
  abstract  = {Background: Higher plasma D-dimer levels are strong predictors of mortality in HIV+ individuals. The factors associated with D-dimer levels during HIV infection, however, remain poorly understood. Methods: In this cross-sectional study, participants in three randomized controlled trials with measured D-dimer levels were included (N = 9,848). Factors associated with D-dimer were identified by linear regression. Covariates investigated were: age, gender, race, body mass index, nadir and baseline CD4(+) count, plasma HIV RNA levels, markers of inflammation (C-reactive protein [CRP], interleukin-6 [IL-6]), antiretroviral therapy (ART) use, ART regimens, co-morbidities (hepatitis B/C, diabetes mellitus, prior cardiovascular disease), smoking, renal function (estimated glomerular filtration rate [eGFR] and cystatin C) and cholesterol. Results: Women from all age groups had higher D-dimer levels than men, though a steeper increase of D-dimer with age occurred in men. Hepatitis B/C co-infection was the only co-morbidity associated with higher D-dimer levels. In this subgroup, the degree of hepatic fibrosis, as demonstrated by higher hyaluronic acid levels, but not viral load of hepatitis viruses, was positively correlated with D-dimer. Other factors independently associated with higher D-dimer levels were black race, higher plasma HIV RNA levels, being off ART at baseline, and increased levels of CRP, IL-6 and cystatin C. In contrast, higher baseline CD4+ counts and higher high-density lipoprotein cholesterol were negatively correlated with D-dimer levels. Conclusions: D-dimer levels increase with age in HIV+ men, but are already elevated in women at an early age due to reasons other than a higher burden of concomitant diseases. In hepatitis B/C co-infected individuals, hepatic fibrosis, but not hepatitis viral load, was associated with higher D-dimer levels.},
  language  = {en}
}
@article{WallmannSperlichFroboese2014,
  author    = {Wallmann-Sperlich, Birgit and Froboese, Ingo},
  title     = {Physical Activity during Work, Transport and Leisure in Germany - Prevalence and Socio-Demographic Correlates},
  doi       = {10.1371/journal.pone.0112333},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113648},
  year      = {2014},
  abstract  = {Background This study aimed 1) to provide data estimates concerning overall moderate- and vigorous-intensity physical activity (MVPA) as well as MVPA during work, transport and leisure in Germany and 2) to investigate MVPA and possible associations with socio-demographic correlates. Methods A cross-sectional telephone survey interviewed 2248 representative participants in the age of 18-65 years (1077 men; 42.4±13.4 years; body mass index: 25.3±4.5kg•m-2) regarding their self-reported physical activity across Germany. The Global Physical Activity Questionnaire was applied to investigate MVPA during work, transport and leisure and questions were answered concerning their demographics. MVPA was stratified by gender, age, body mass index, residential setting, educational and income level. To identify socio-demographic correlates of overall MVPA as well as in the domains, we used a series of linear regressions. Results 52.8\% of the sample achieved physical activity recommendations (53.7\% men/52.1\% women). Overall MVPA was highest in the age group 18-29 years (p<.05), in participants with 10 years of education (p<.05) and in participants with lowest income levels <1.500€ (p<.05). Regression analyses revealed that age, education and income were negatively associated with overall and work MVPA. Residential setting and education was positively correlated with transport MVPA, whereas income level was negatively associated with transport MVPA. Education was the only correlate for leisure MVPA with a positive association. Conclusions The present data underlines the importance of a comprehensive view on physical activity engagement according to the different physical activity domains and discloses a need for future physical activity interventions that consider socio-demographic variables, residential setting as well as the physical activity domain in Germany.},
  language  = {en}
}