Valuations of health impacts caused by PFS

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Question

How much does the society give value to health impacts caused by plant-based food supplements (PFS)? Especially those impacts are of interest that are used in health or functional claims.

Answer

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Rationale

Please answer the following questions by using the online survey on this page.

Table 1 presents different adverse health states by disability classes. Make a trade-off between avoiding these disabilities and acquiring one of the health impacts listed below. Use your current health status as a starting point for your reasoning. Choose the disease class identifier (0, I, II, III, IV, V, VI or VII) that best corresponds, in your opinion, to the health impact.

Table 1. Reference health states according to Menken et al (2000):

Disease class	Severity weight	Conditions
0	0.00	No symptoms
I	0.00-0.02	Vitiligo of face, otitis media episode, moderate anemia
II	0.02-0.12	Water diarrhea, severe sore throat, severe anemia
III	0.12-0.24	Radius fracture in a stiff cast, infertility, erectile dysfunction, rheumatoid arthritis, angina
IV	0.24-0.36	Below-the-knee amputation, deafness
V	0.36-0.50	Rectovaginal fistula, mild mental retardation, Down syndrome
VI	0.50-0.70	Unipolar major depression, blindness, paraplegia
VII	0.70-1.00	Active psychosis, dementia, severe migraine, quadriplegia

What disease class would you choose, if you had to select between obtaining improvement of visual adaptation to the dark and avoiding a disease in that disease class?: 0 I II III IV V VI VII What disease class would you choose, if you had to select between obtaining enhancement of mood and avoiding a disease in that disease class?: 0 I II III IV V VI VII What disease class would you choose, if you had to select between obtaining improved lower urinary tract defense and avoiding a disease in that disease class?: 0 I II III IV V VI VII + Show code- Hide code library(OpasnetBaseUtils) library(xtable) voter <- function(page) { Obs <- max(op_baseGetData("opasnet_base", page)[, "obs"])+1 data <- data.frame(obs = rep(Obs, 3), Parameter = c("Dark vision", "Enhanced mood", "Uninary tract defense"), Result = c(vision, mood, urinary)) opbase.upload(dsn = "opasnet_base_write", input = data, ident = page, acttype = 5, who = wiki_username, unit = "time") cat("Thanks for your input\n") } voter("Op_en5423")

See also

• heande:Valuations of health impacts caused by PFS
• Timetracker

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