ERF of indoor dampness on respiratory health effects

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←--#: . Very good comments and work on this page! --Jouni 00:12, 7 February 2013 (EET) (type: truth; paradigms: science: defence)

Exposure-response function of exposure to indoor dampness and/or mold or mold odor and respiratory health effects. The exposure-response function is expressed as ERF.

----#: . We added a short summary --Isabell Rumrich 10:56, 4 February 2013 (EET) (type: truth; paradigms: science: comment)

Question

What is the association between exposure to indoor dampness and mould in homes and respiratory health effects? ←--#: . The question is clear. --Isabell Rumrich 10:27, 4 February 2013 (EET) (type: truth; paradigms: science: defence)

Answer

Exposure-response function

----#: . We understand how the ovariable is connected to this table, but not how the data were used in detail in a mathematical way to have the answer. This is the reason why we did not add a R-code for it --Isabell Rumrich 11:01, 4 February 2013 (EET) (type: truth; paradigms: science: comment)

----#: . You might want to look at ERF of several environmental pollutions‎‎, which was updated today and is very similar to your page. --Jouni 00:12, 7 February 2013 (EET) (type: truth; paradigms: science: comment)

←--#: . Yes, now the code works. --Stefania 10:23, 11 February 2013 (EET) (type: truth; paradigms: science: defence)

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library(OpasnetUtils) # A package with Opasnet functionalities
library(xtable)       # A package with table formats
library(ggplot2)      # A package with fancy graph formats

objects.latest("Op_en4716", "calculations") # Get the latest ovariables from code calculations on page Op_en4716.

ERFindoorDampnessOnRespiratoryHealthEffects		<- EvalOutput(ERFindoorDampnessOnRespiratoryHealthEffects, N = 3)
print(xtable(ERFindoorDampnessOnRespiratoryHealthEffects@output, digits = 4), type = 'html')
#ERFindoorDampnessOnRespiratoryHealthEffects@output$ERFindoorDampnessOnRespiratoryHealthEffectsResult <- as.numeric(as.character(ERFindoorDampnessOnRespiratoryHealthEffects@output$ERFindoorDampnessOnRespiratoryHealthEffectsResult))
#ERFindoorDampnessOnRespiratoryHealthEffects@output <- ERFindoorDampnessOnRespiratoryHealthEffects@output[colnames(ERFindoorDampnessOnRespiratoryHealthEffects@output) != "Obs"]



ggplot(ERFindoorDampnessOnRespiratoryHealthEffects@output[ERFindoorDampnessOnRespiratoryHealthEffects@output$ERFindoorDampnessOnRespiratoryHealthEffects.Parameter == "RR" , ], # Show a bar chart
	aes(x = Pollutant, y = ERFindoorDampnessOnRespiratoryHealthEffectsResult, fill = Response.metric)) +
	geom_bar(position="dodge") + 
	theme_grey(base_size = 24) +
	theme(axis.text.x = element_text(angle = 90, hjust = 1))

ggplot(ERFindoorDampnessOnRespiratoryHealthEffects@output[ERFindoorDampnessOnRespiratoryHealthEffects@output$ERFindoorDampnessOnRespiratoryHealthEffects.Parameter == "UR" , ], # Show a bar chart
	aes(x = Health.impact, y = ERFindoorDampnessOnRespiratoryHealthEffectsResult, fill = Response.metric)) +
	geom_bar(position="dodge") + 
	theme_grey(base_size = 24) +
	theme(axis.text.x = element_text(angle = 90, hjust = 1))

Rationale

Data

ERF of indoor dampness on respiratory health effects(OR per yes/no visible dampness and/or mold or mold odor)
Obs	Disease	Subjects	Exposure route	Exposure metric	Exposure unit	ERF parameter	ERF	Description
1	Upper respiratory tract symptoms	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.70	1.70 (1.44-2.00), No. studies: 13
2	Cough	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.67	1.67 (1.49-1.86), No. studies: 18
3	Cough	Adults	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.52	1.52 (1.18-1.96), No. studies: 6
4	Cough	Children	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.75	1.75 (1.56-1.96), No. studies: 6
5	Wheeze	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.50	1.50 (1.38-1.64), No. studies: 22
6	Wheeze	Adults	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.39	1.39 (1.04-1.85), No. studies: 5
7	Wheeze	Children	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.53	1.53 (1.39-1.68), No. studies: 17
8	Current asthma	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.56	1.56 (1.30-1.86), No. studies: 10
9	Ever-diagnosed asthma	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.37	1.37 (1.23-1.53), No. studies: 8
10	Ever-diagnosed asthma	Children	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.35	1.35 (1.20-1.51), No. studies: -
11	Asthma development	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.34	1.34 (0.86-2.10), No. studies: 4
12	Bronchitis	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.45	1.45 (1.32-1.59), No. studies: -
13	Bronchitis	Children	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.38	1.38 (1.28-1.47), No. studies: -
14	Respiratory infections	All	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.44	1.44 (1.31-1.59), No. studies: -
15	Respiratory infections	Adults	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.49	1.49 (1.14-1.95), No. studies: -
16	Respiratory infections	Children	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.48	1.48 (1.33-1.65), No. studies: -
17	Sensitivity to inhaled antigens	Children	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.33	1.33 (1.23-1.44), No. studies: -
18	Hay fever	Children	Inhalation	visible dampness and/or mold or mold odor	yes/no	OR	1.35	1.35 (1.18-1.53), No. studies: -

Page-specific entries (indices that have exactly one value each for the whole variable; usually mentioned in the title and/or in the scope.):

Pollutant: visible dampness and/or mold or mold odor
Threshold: 0
Exposure metric: yes/no
Exposure route: Inhalation

----#: . You can leave the columns listed above out of the table, because all rows have the same value. If you do, then you MUST put the respective information to Category:Exposure-response functions. --Jouni 17:38, 23 January 2012 (EET) (type: truth; paradigms: science: comment)

⇤--#: . If possible, "Disease" should be something that has an ICT-10 code (in this case, the information that is in column "Response metric". In contrast, "Response metric" should describe how the disease was measured: number of cases, incidence, prevalence,... --Jouni 17:38, 23 January 2012 (EET) (type: truth; paradigms: science: attack)

⇤--#: . The comment emphasizing some changes is more than a year old and there are no changes or any kind of reactions to it. --Isabell Rumrich 10:29, 4 February 2013 (EET) (type: truth; paradigms: science: attack)

Unit

OR per yes/no visible dampness and/or mold or mold odor

----#: . We put the Unit in the right place. --Stefania 11:17, 13 February 2013 (EET) (type: truth; paradigms: science: comment)

----#: . The table below is kind of a repetition. --Jouni 00:12, 7 February 2013 (EET) (type: truth; paradigms: science: comment)

←--#: . Yes, we deleted the table. --Stefania 11:14, 13 February 2013 (EET) (type: truth; paradigms: science: defence)

Dependencies

----#: . There are no dependencies listed yet, and we cannot come up with some. --Isabell Rumrich 10:44, 4 February 2013 (EET) (type: truth; paradigms: science: comment)

Calculations

Generates random samples of possible ORs.
- Normal distribution assumed, sd estimated from confidence interval using sd = (upper bound - lower bound)/3.92

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library(OpasnetUtils)
library(xtable)

ERFindoorDampnessOnRespiratoryHealthEffects <- Ovariable("ERFindoorDampnessOnRespiratoryHealthEffects", ddata = "Op_en4716", getddata = FALSE, save = TRUE) 

cat("Ovariable ERFindoorDampnessOnRespiratoryHealthEffects saved for later use. Page name: Op_en4716, code name: calculations\n")

print(xtable(EvalOutput(ERFindoorDampnessOnRespiratoryHealthEffects)@output), type = "html")

←--#: . R-code runs now. --Isabell Rumrich 10:30, 4 February 2013 (EET) (type: truth; paradigms: science: defence)

Keywords

Dampness and mould, ERF, Respiratory Disease, Asthma, Indoor Environment, Allergy

----#: . We added keywords. --Isabell Rumrich 10:41, 4 February 2013 (EET) (type: truth; paradigms: science: comment)

References

Related files