Bilde av Benebo, Faith Owunari
Bilde av Benebo, Faith Owunari
PhD Candidate Department of Community Medicine faith.o.benebo@uit.no +4777646309 You can find me here

Faith Owunari Benebo


Job description

I am a PhD candidate at the Department of Community Medicine, based in the Systems Epidemiology Research group. As part of the Healthy Choices and the social gradient, the goal of my research is to examine socioeconomic, lifestyle-/behavioral pathways from childhood socioeconomic position (CSEP) to self-reported fibromyalgia in later life.


  • Faith Owunari Benebo, Marko Lukic, Monika Dybdahl Jakobsen, Tonje Bjørndal Braaten :
    The role of lifestyle factors in the association between education and self-reported fibromyalgia: a mediation analysis
    BMC Women's Health 2024 ARKIV / DOI
  • Alessandra Macciotta, Alberto Catalano, Maria Teresa Giraudo, Elisabete Weiderpass, Pietro Ferrari, Heinz Freisling et al.:
    Mediating Role of Lifestyle Behaviors in the Association between Education and Cancer: Results from the European Prospective Investigation into Cancer and Nutrition
    Cancer Epidemiology, Biomarkers and Prevention 2023 ARKIV / DOI
  • Kiwumulo Nakandi, Faith Owunari Benebo, Laila Arnesdatter Hopstock, Trine Stub, Agnete Egilsdatter Kristoffersen :
    Adherence to lifestyle recommendations among Norwegian cancer survivors and the impact of traditional and complementary medicine use: the Tromsø Study 2015–2016
    BMC Complementary Medicine and Therapies 2023 ARKIV / DOI
  • Faith Owunari Benebo, Marko Lukic, Monika Dybdahl Jakobsen, Tonje Bjørndal Braaten :
    Lifestyle risk factors of self-reported fibromyalgia in the Norwegian Women and Cancer (NOWAC) study
    BMC Public Health 2023 ARKIV / DOI

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    Research interests

    Fibromyalgia Epidemiology, Lifecourse Epidemiology

    Methods: Longitudinal Data Analysis, Mediation Analysis

    Teaching

    Group Teacher

    • Epidemiology in the Master of Public Health.
    • Statistics and epidemiology in medical studies

    Lecturer

    • Mediation analysis in the Master of Public Health