Multilayer exploration
SES and cause-domain switcher
Inspect Statusscore 2021, mean cause burden, age, BMI, and individual cause domains using one interactive layer with a metric selector.
Geographic patterns in socioeconomic status and obesity-related cause indications
These interactive maps summarize PC4-level socioeconomic status and participant-derived indications of possible underlying causes. They are intended for descriptive exploration, hypothesis generation, and transparent discussion of spatial heterogeneity.
Interactive map views
Each view uses the same postcode geometry and aggregated participant summaries, but emphasizes a different analytical question.
Joint classification
Bivariate SES x cause burden
Compare socioeconomic position and mean cause burden simultaneously, highlighting areas where both dimensions may coincide.
Stratified summary
SES quartile strata
Group postcodes into SES quartiles and compare participant characteristics and cause-domain percentages in the embedded summary table.
Interpretation note: domain percentages regard indications of possible causes, not diagnoses or causal estimates. Spatial patterns should be interpreted as aggregated descriptive signals and considered alongside sampling density, participant composition, and clinical context.