ERFs of environmental pollutants

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Question

What are the exposures? relevant to environmental health?

Answer

Relevant results here (in Finnish).

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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_en5827", "calculations") # Get the latest ovariables from code calculations on page Op_en5918.

ERF 		<- EvalOutput(ERF, N = 3)
ERF@output$ERFResult <- as.numeric(as.character(ERF@output$ERFResult))
ERF@output <- ERF@output[colnames(ERF@output) != "Obs"]

print(xtable(ERF@output, digits = 4), type = 'html')

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

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

Rationale

Calculations

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library(OpasnetUtils)
library(xtable)
library(ggplot2)

ERF <- Ovariable("ERF", ddata = "Op_en5827", getddata = FALSE, save = TRUE)

cat("Ovariable ERF saved. Page: Op_en5827, code: calculations.\n")

ERF <- EvalOutput(ERF, N = 1)

print(xtable(ERF@output), type = 'html') # Show a result table

Data

ERFs of environmental pollutants(-)
Obs	Pollutant	Disease	Population	Age	Response.metric	ERF.Parameter	Unit	Result	Description
1	Indoor radon	Lung cancer	Whole population		Morbidity	RR	m3 /Bq	1.0005; 1.0016; 1.0031
2	PM2.5	Lung cancer	Whole population		Morbidity	RR	m3 /µg	1.04; 1.14; 1.23	Outdoor air
3	PM2.5	Cardiopulmonary	Whole population		Mortality	RR		1.03; 1.09; 1.16	Outdoor air
4	PM2.5	Total mortality	Whole population		Mortality	RR		1.0014; 1.0062; 1.011	Outdoor air
5	Chlorination byproducts	Bladder cancer	People using chlorinated surface water		Morbidity	RR	L /µg	1.00053; 1.0039; 1.00722
6	Chlorination byproducts	Bladder cancer	People using chlorinated surface water		Morbidity	RR	L /net rev	1; 1.000029; 1.000072
7	Arsenic	Bladder cancer	People using water from bore wells		Morbidity	RR	L /ug	1; 1.002; 1.006
8	Arsenic	Bladder cancer	People using wellwater in Pirkanmaa		Morbidity	RR	L /ug	0.999; 1.002; 1.006
9	Environmental tobacco smoke	Lung cancer	Whole population		Morbidity	RR	Yes/No	1.13; 1.21; 1.30
10	Environmental tobacco smoke	Ischaemic heart disease	Whole population		Mortality	RR	Yes/No	1.19; 1.27; 1.36
11	Environmental tobacco smoke	Asthma	Whole population	>21	Morbidity	RR	Yes/No	1.19; 1.97; 3.25
12	Environmental tobacco smoke	Asthma	Whole population	<14	Morbidity	RR	Yes/No	1.24; 1.32; 1.41
13	Environmental tobacco smoke	Lung infections	Whole population	<2	Morbidity	RR	Yes/No	1.55; 1.42; 1.69
14	Environmental tobacco smoke	Middle ear inflammation	Whole population	<3	Morbidity	RR	Yes/No	1.38; 1.21; 1.56
15	Formaldehyde	Asthma	Whole population	<14	Morbidity	RR	m3 /µg	1.0140743178
16	Dampness damage	Asthma	Whole population		Morbidity	RR		1.23; 1.37; 1.53
17	Dampness damage	Lower respiratory symptoms	Whole population		Morbidity	RR		1.38; 1.5; 1.86
18	Dampness damage	Upper respiratory symptoms	Whole population		Morbidity	RR		1.44; 1.7; 2
19	Fluoride	Fluorosis	People living in Southern Finland using water with fluoride	0-14	Morbidity	UR		0.125
20	Outdoor ozone	Total mortality	Whole population		Mortality	RR	m3 /ug	1.000099955; 1.000299596; 1.000399282
21	Lead	Decrease of IQ (less than 70 points)	Whole population		Morbidity	UR		0.025
22	Lead	Increased bloodpressure	Whole population		Morbidity	UR		0.025
23	Dioxin	Cancer	Whole population		Morbidity	UR	pg /kg /d	0.000032; 0.000035; 0.00016
24	Formaldehyde	Nasal cancer	Whole population		Morbidity	UR	m3 /ug	0.000013
25	Formaldehyde at work	Nasal cancer	Population at working age		Morbidity	UR	m3 /ug	0.000013
26	Benzene	Leukemia	Whole population		Morbidity	UR	ug /m3	0.000005
27	Benzene at work	Leukemia	Population at working age		Morbidity	UR	m3 /ug	0.000005
28	Quatzdust	Silicosis	Population at working age		Morbidity	UR	m3 /mg	0.125; 0.125; 0.25
29	Asbestos at work	Lung cancer and mesothelioma	Population at working age		Morbidity	UR		0.01; 0.05; 0.1
30	Noise at work	Hearing damage	Population at working age		Morbidity	UR		570	Medium noise (80-85 dB)
31	Noise at work	Hearing damage	Population at working age		Morbidity	UR		1320	Loud noise (>85 dB)
32	Outdoor ozone	Mild decreasing on general functioning	Whole population		Morbidity	UR	m3 /ug	0.044; 0.115; 0.186

----#: . Check some translations (chlorinating, surrounding's tobacco smoke, fluorosis, dampness damage,Nose-pharynx cancers, Mild decreasing on general funtioning) --Heta 18:43, 12 October 2012 (EEST) (type: truth; paradigms: science: comment)

References

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