Address

Institute of Health Economics, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria

Stefan Kuhle

Postdoc

Medical University of Innsbruck

Biography

Stefan Kuhle is an epidemiologist and former pediatrician with a research interest in perinatal health, child development, and chronic disease in childhood. He has a Master’s and a PhD in Epidemiology from the University of Alberta, Canada. Stefan Kuhle previously held a position as Associate Professor in the Perinatal Epidemiology Research Unit at Dalhousie University, Canada.

Dr. Kuhle’s research examines the influence of perinatal and early life factors on long-term child health. He uses large databases and causal inference methods to answer etiologic as well as policy-relevant questions. Dr. Kuhle is the Co-PI (with Dr. Christy Woolcott) of the 3G Multigenerational Cohort Study, a population-based cohort of women and their mothers and offspring in the Canadian province of Nova Scotia that aims to investigate inter- and transgenerational associations across the maternal line.

Selected publications

  • Kuhle S, Brown MM, Stanojevic S. Building a better model: abandon kitchen sink regression. Arch Dis Child Fetal Neonatal Ed. 2024 Oct 18;109(6):574-579.
  • Koto P, Allen VM, Fahey J, Kuhle S. Maternal cannabis use during pregnancy and maternal and neonatal outcomes: A retrospective cohort study. BJOG. 2022 Sep;129(10):1687-1694.
  • Brown MM, Woolcott CG, Dodds L, Ashley-Martin J, Allen VM, Fahey J, Kuhle S. The 3G Multigenerational Cohort of Nova Scotian women and their mothers and offspring. Paediatr Perinat Epidemiol. 2020 Mar;34(2):214-221.
  • Kuhle S, Maguire B, Zhang H, Hamilton D, Allen AC, Joseph KS, Allen VM. Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study. BMC Pregnancy Childbirth. 2018 Aug 15;18(1):333.
  • Kuhle S, Maguire B, Zhang H, Hamilton D, Allen AC, Joseph KS, Allen VM. Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study. BMC Pregnancy Childbirth. 2018 Aug 15;18(1):333.

 

  1. 2011

    PhD, Epidemiology

    University of Alberta, Edmonton, AB, Canada
  2. 2007

    Master of Public Health, Clinical Epidemiology

    University of Alberta, Edmonton, AB, Canada
  3. 2005

    Doctor of Medicine (Dr. med.)

    Eberhard Karls University Tübingen, Germany
  4. 1996

    Georg-August University Göttingen, Germany

    Medical Doktor

  1. 2023-2024
    Scientist
    Division of Paediatric Epidemiology, Institute for Medical Biostatistics, Epidemiology and Informatics, Johannes Gutenberg University, Mainz, Germany
  2. 2022
    Visiting Scientist
    Federal Research Institute of Nutrition and Food, Department of Child Nutrition, Karlsruhe, Germany
  3. 2011-2023
    Assistant/Associate Professor
    Depts of Pediatrics and Obstetrics & Gynecology, Dalhousie University, Halifax, Canada
  4. 2006-2011
    Research Associate
    School of Public Health, University of Alberta, Edmonton, Canada
  5. 2005-2006
    Research Fellow
    Stollery Children’s Hospital, Edmonton, Canada
  6. 2003-2005
    Resident
    University Children’s Hospital, Tübingen, Germany
  7. 2001-2003
    Research Fellow
    Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Canada
  8. 1996-2001
    Resident
    University Children’s Hospital, Vienna, Austria

  • 2017
    The 3G Multigenerational Cohort of Nova Scotian Women and Their Offspring
    IWK Health Centre Research Foundation, Halifax, Canada
  • 2014
    Do Maternal and Neonatal Factors Predict Long-term Child Health and Health Care Utilization?
    Canadian Institutes of Health Research
  • 2013
    The influence of comprehensive school health on school culture and health behaviors in children.
    Canadian Institutes of Health Research
  • 2002
    Baxter BioScience Scholarship for Hemostasis Research
    Hospital for Sick Children, Toronto, Canada
  • 2001
    Erwin-Schrödinger Research Scholarship
    Fonds zur Förderung der Wissenschaftlichen Forschung (FWF), Vienna, Austria