Eliva Atieno Ambugo is an associate professor in health promotion. With a background in public health and sociology, she has an interest in understanding person-level and contextual determinants of health and well-being. She has applied qualitative methods to study the organization and delivery of care for community-dwelling older adults. Her quantitative research includes the analysis of registrar and population survey data to examine physical and mental health outcomes, and factors consequential to return-to-work after illness.
Competences
- The salutogenic model of health
- Data management and analysis in Stata, multilevel analysis
- Public health/health promotion, social determinants of health
CV
Education
- 2012: PhD, Public Health, University of California, Los Angeles, USA
- 2008: MA., Public Health, California State University, Long Beach, USA
- 2003: BA., Sociology and Anthropology, Principia College, Illinois, USA
Employment
- 2020-present: Associate professor in health promotion, Dept. of Health, Social and Welfare Studies, University of South-Eastern Norway (Vestfold)
- 2014-2020: Researcher/postdoc, Dept. of Health Management and Health Economics, University of Oslo
- 2018-2020: Researcher, Center for Care Research (east), NTNU Gjøvik, Norway
- 2012-2014: Postdoc, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Jersey, USA
Research groups and projects
- Forskningsgruppe for helsefremmende arbeid i nærmiljø / Research group for health promotion in the local community (HENÆR)
- The Cancer and Work Study (CANWORK)
- Public health survey 2021 - Vestfold and Telemark county
- Ungdata (youth survey) and the salutogenic model of health
- Social Work in a Global World: Opportunities for Innovation (SoWGloW)
- Nordic Health Promotion Research Network (NHPRN)
Dissertation monograph
Ambugo C, E. (2012). “Neighborhood conditions and gender differences in depressive symptoms”. Ann Arbor, MI: University of Michigan Dissertation Publishing.
- A multilevel analysis of nationally representative data from the US Health and Retirement Study (HRS), examining: (1) Gender differences in the association between neighborhood conditions and depressive symptoms (cross-level effect modification), (2) The extent to which relationships among components of the neighborhood stress process model differ by gender (cross-level effect modification), and (3) The extent to which the neighborhood stress process model explains variation in depressive symptoms among women (cross-level effect modification and mediation).