Research fellow

Jantje Goerdten

Curriculum vitae

July 2020 – present PhD candidate, BIPS
Project: Identification of novel dietary biomarker in children and young adolescents
September 2018 – June 2020 Research Assistant, University of Edinburgh
Project: Optimal dementia risk prediction models and validation for young individuals
August 2017 – July 2018 Master of Science Epidemiology, Universiteit Maastricht
Master thesis title: Diabetes Mellitus Type 2 and Dementia Risk in Primary Care – What is the Role of Comorbid Vascular Disorders?
October 2014 – July 2017 Bachelor of Arts Public Health/ Gesundheitswissenschaften, Universität Bremen

Research interests

Molecular epidemiology
Nutritional epidemiology
Epidemiology of Ageing

Projects

Selected publications

  • Articles with peer-review

  • Kucikova L, Goerdten J, Dounavi M-E, Mak E, Su L, Waldman AD, Danso S, Muniz-Terrera G, Ritchie CW. Resting-state brain connectivity in healthy young and middle-aged adults at risk of progressive Alzheimer's disease. Neuroscience and Biobehavioral Reviews. 2021;129:142-153.
    https://doi.org/10.1016/j.neubiorev.2021.07.024
  • Muli S, Goerdten J, Oluwagbemigun K, Floegel A, Schmid M, Nöthlings U. A systematic review of metabolomic biomarkers for the intake of sugar-sweetened and low-calorie sweetened beverages. Metabolites. 2021;11(8):546.
    https://doi.org/10.3390/metabo11080546
  • Muniz-Terrera G, Robitaille A, Goerdten J, Massa F, Johannson B. Do I lose cognitive function as fast as my twin partner? Analyses based on classes of MMSE trajectories of twins aged 80 and older. Age and Ageing. 2021;50(3):847-853.
    https://doi.org/10.1093/ageing/afaa239
  • Watermeyer T, Goerdten J, Muniz-Terrera G. Cognitive dispersion and ApoEe4 genotype predict dementia diagnosis in 8-year follow-up of the oldest-old. Age and Ageing. 2021;50(3):868-874.
    https://doi.org/10.1093/ageing/afaa232
  • Watermeyer T, Massa F, Goerdten J, Stirland L, Johansson B, Muinz-Terrera G. Cognitive dispersion predicts grip strength trajectories in men but not women in a sample of the oldest-old without dementia. Innovation in Aging. 2021;5(3):igab025.
    https://doi.org/10.1093/geroni/igab025
  • Goerdten J, Carrière I, Muniz-Terrera G. Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2020;6(1):1-8.
    https://doi.org/10.1002/trc2.12041
  • Goerdten J, Cukic I, Danso SO, Carrière I, Muniz-Terrera G. Statistical methods for dementia risk prediction and recommendations for future work: A systematic review. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2019;5(1):563-569.
    https://doi.org/10.1016/j.trci.2019.08.001
  • externe Publikation - Poster bei wissenschaftlicher Tagung

  • Goerdten J, Carrière I, Muniz-Terrera G. Does an advanced statistical technique perform better than a simple technique for dementia prediction? Alzheimer's Association International Conference (AAIC), 27-31 July 2020, online poster. (Abstract published in: Alzheimer's & Dementia. 2020;16(S10):e040837)
  • Goerdten J, Cukic I, Danso SO, Carrière I, Muniz-Terrera G. Are existing dementia risk prediction models reliable? Alzheimer's Association International Conference (AAIC), 27-31 July 2020, online poster. (Abstract published in: Alzheimer's & Dementia. 2020;16(S10):e040814)
  • Commentaries

  • Goerdten J, Floegel A. Exposure assessment in early life: It is about time for multi-omics approaches. BMC Medicine. 2021;19210.
    https://doi.org/10.1186/s12916-021-02088-0.

For further publications please follow this link:

The responsibility for the content of this page lies with Jantje Goerdten.