Returns a tibble of human-readable descriptions and authoritative help URLs
for all factors in chronic_risks(). Useful for quiz tooltips, API
responses, and dashboards.
Value
A tibble with columns:
factor: Factor name (matcheschronic_risks()exactly)description: 1-2 sentence explanation of the factorhelp_url: Authoritative source URL
Examples
factor_descriptions()
#> # A tibble: 38 × 3
#> factor description help_url
#> <chr> <chr> <chr>
#> 1 Smoking 20 cigarettes A pack-a-day habit accelerates aging… https:/…
#> 2 Smoking 10 cigarettes Half-a-pack daily. Dose-response is … https:/…
#> 3 Smoking 2 cigarettes Even light smoking (2 cigarettes/day… https:/…
#> 4 Being 5 kg overweight Each 5 kg above optimum BMI increase… https:/…
#> 5 Being 10 kg overweight Cumulative metabolic and cardiovascu… https:/…
#> 6 Being 15 kg overweight Significant obesity (BMI ~30+) with … https:/…
#> 7 2nd-3rd alcoholic drink After the first drink's potential pr… https:/…
#> 8 4th-5th alcoholic drink Heavy daily drinking (4-5 drinks) dr… https:/…
#> 9 Red meat (1 portion/day) Daily red meat consumption is associ… https:/…
#> 10 Processed meat (1 portion/day) Bacon, sausages, ham, etc. classifie… https:/…
#> # ℹ 28 more rows
factor_descriptions() |> dplyr::filter(grepl("exercise", factor, ignore.case = TRUE))
#> # A tibble: 2 × 3
#> factor description help_url
#> <chr> <chr> <chr>
#> 1 20 min moderate exercise Daily brisk walking or equivalent moderate … https:/…
#> 2 150 min weekly exercise Meeting WHO physical activity guidelines re… https:/…
