Prospective Doctoral Researcher
Catherine Ge
Digital health literacy · health communication · behaviour change · physical activity
Master of Teaching · University of South Australia
Research-design training in progress · University of Aberdeen
Research-design training in progress · University of Aberdeen
Research direction
How do digital health literacy, content design and platform environments shape whether people can judge, understand and act on physical-activity guidance? The final doctoral question is intended to be refined with the supervisory and project context.
Why this line of work
Large-scale health-education practice showed a persistent gap between attention and evidence of understanding or behaviour change. Catherine's current work moves from that practice problem toward reproducible analysis, evidence synthesis and formal research design.
Current research evidence
HINTS 7Survey-weighted secondary analysis · n=5,183 · 50 JK1 replicate weights
HINTS 6 + 7Repeated cross-sectional comparison · pooled n=10,838 · 100 replicate weights
NHANES 2013–2014Device-linked physical-activity analysis using the NHANES complex survey design
Evidence synthesisTwo systematic-review projects in progress; public identifiers remain under reconciliation
Open researchPhysical Activity Adherence Digital Intervention Micro Map · v0.1 frozen / v0.2 working
Formal methods preparationPU5027 Fundamentals of Research Design (Online) · University of Aberdeen · 2026–27
Methods demonstrated / developing
- Complex-survey analysis and replicate-weight variance estimation
- Logistic regression, interaction testing and sensitivity analysis
- Device-linked secondary-data analysis
- Systematic evidence synthesis
- Research design, qualitative and mixed-methods development
Potential contribution to a research team
- Digital health and physical-activity domain knowledge
- Reproducible research-development workflows
- Knowledge translation from scientific evidence to public-facing health education
- Experience translating recurring practice questions into testable research problems