clairecdwd/fe3-multimorbidity

Multimorbidity analysis of FracturesE3 cross-sectional data from The Gambia, South Africa and Zimbabwe # Multimorbidity among older people in three African countries: a population-based cross-sectional study in The Gambia, South Africa, and Zimbabwe Analysis code for the Fractures E3 multimorbidity study: a cross-sectional analysis of chronic conditions, their combinations, their risk factors, and their association with health-related quality of life among adults aged 40 years and over in The Gambia, Zimbabwe and South Africa. **Citation.** TBC **Contact:** c.calderwood@imperial.ac.uk ## Data availability No participant data are included in this repository. Researchers can access participant-level data via data.bris, provided ethical approvals are compliant with country-specific governance regulations. Data preparation is also outside this repository. Deriving the chronic condition variables uses participants' free-text descriptions of their own conditions and medications, which are identifying. The code here begins from a prepared analysis dataset, specified variable by variable in `assets/data_dictionary.md`. ## Requirements - R, with the packages loaded in `R/00_settings/01_packages.R` - Stata, for the latent class models `output/sessionInfo.txt` records the R and package versions of the run that produced the output. ## Layout ``` run_analysis.R one script to source all files - update project directory, data directory and output directory R/00_settings/ packages, analysis parameters, colours, plot and table formatting R/01_functions/ shared helpers, including the site-stratified model loop R/02_prepare/ load and check data, export the Stata input, build standardisation weights R/03_descriptive/ table 1, supplementary tables 5 to 7 R/04_combinations/ figure 1, supplementary figures 2 and 3, supplementary tables 18 and 19 R/05_pyramids/ figure 2, supplementary figures 4 to 6 R/06_riskfactors/ supplementary figures 7 and 8, supplementary tables 20 and 21 R/07_hrq …