fmsb (version 0.7.6)

PrefYLL2015: Years of Life Lost by several causes in Japan 2015 for each prefecture

Description

The data gives years of life lost by several causes in Japan 2015 for each prefecture. There are several definitions of YLL. For example, WHO's Global Burden of Disease defines the YLL as the number of deaths multiplied by the standard life expectancy at the age at which death occurs, for a given cause, age and sex (WHO). However, Japanese Ministry of Health, Labor and Welfare gives the expected increase of the life expectancy at birth if the mortality due to each cause of death is removed from the age-specific mortality as the measure of YLL, and thus this dataset implements such data derived from the report of regional life tables in Japan (Ministry of Health, Labor and Welfare, 2015).

Usage

PrefYLL2015

Format

A data frame with 47 observations on 26 variables.

[, 1]	PNAME	factor w/47 levels	The name (in roma-ji) for prefectures
[, 2]	JCODE	numeric	Prefecture number defined by Geographical Information Authority of Japan
[, 3]	CancerM	numeric	Years of Life Lost (YLL) of males by cancer
[, 4]	CardioM	numeric	Years of Life Lost (YLL) of males by heart diseases except for hypertention
[, 5]	CerebroM	numeric	Years of Life Lost (YLL) of males by cerebrovascular disease
[, 6]	PneumoniaM	numeric	Years of Life Lost (YLL) of males by pneumonia
[, 7]	AccidentM	numeric	Years of Life Lost (YLL) of males by accident
[, 8]	TrafficM	numeric	Years of Life Lost (YLL) of males by traffic accidents
[, 9]	SuicideM	numeric	Years of Life Lost (YLL) of males by suicide
[,10]	KidneyM	numeric	Years of Life Lost (YLL) of males by kidney failure
[,11]	LiverM	numeric	Years of Life Lost (YLL) of males by liver disease
[,12]	DiabetesM	numeric	Years of Life Lost (YLL) of males by diabetes
[,13]	HypertensM	numeric	Years of Life Lost (YLL) of males by hypertension
[,14]	TBM	numeric	Years of Life Lost (YLL) of males by tuberculosis
[,15]	CancerF	numeric	Years of Life Lost (YLL) of females by cancer
[,16]	CardioF	numeric	Years of Life Lost (YLL) of females by heart diseases except for hypertention
[,17]	CerebroF	numeric	Years of Life Lost (YLL) of females by cerebrovascular disease
[,18]	PneumoniaF	numeric	Years of Life Lost (YLL) of females by pneumonia
[,19]	AccidentF	numeric	Years of Life Lost (YLL) of females by accident
[,20]	TrafficF	numeric	Years of Life Lost (YLL) of females by traffic accidents
[,21]	SuicideF	numeric	Years of Life Lost (YLL) of females by suicide
[,22]	KidneyF	numeric	Years of Life Lost (YLL) of females by kidney failure
[,23]	LiverF	numeric	Years of Life Lost (YLL) of females by liver disease
[,24]	DiabetesF	numeric	Years of Life Lost (YLL) of females by diabetes
[,25]	HypertensF	numeric	Years of Life Lost (YLL) of females by hypertension
[,26]	TBF	numeric	Years of Life Lost (YLL) of females by tuberculosis

Details

Years of Life Lost by several causes in Japan 2015 for each prefecture.

• PNAME: The name (in roma-ji) for prefectures.

• JCODE: Prefecture number defined by Geographical Information Authority of Japan. From 1 to 47.

• Cancer[M|F]: YLL by cancer for males ([M]) or for females ([F]).

• Cardio[M|F]: YLL by heart disease for males ([M]) or for females ([F]).

• Cerebro[M|F]: YLL by cerebrovascular disease for males ([M]) or for females ([F]).

• Peumonia[M|F]: YLL by pneumonia for males ([M]) or for females ([F]).

• Accident[M|F]: YLL by accidents for males ([M]) or for females ([F]).

• Traffic[M|F]: YLL by traffic accidents (it's also included in Accident[M|F] for males ([M]) or for females ([F]).

• Suicide[M|F]: YLL by suicide for males ([M]) or for females ([F]).

• Kidney[M|F]: YLL by kidney failure for males ([M]) or for females ([F]).

• Liver[M|F]: YLL by liver disease for males ([M]) or for females ([F]).

• Diabetes[M|F]: YLL by diabates for males ([M]) or for females ([F]).

• Hypertension[M|F]: YLL by hypertension for males ([M]) or for females ([F]).

• TB[M|F]: YLL by tuberculosis for males ([M]) or for females ([F]).

References

Ministry of Health, Labor and Welfare of Japan: Vital Statistics with Life Expectancy 2015. https://minato.sip21c.org/demography/how-to-make-pref-charts.html (in Japanese), WHO https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates

Examples

require(fmsb)
x <- PrefYLL2015
COL <- ifelse(x$PNAME=="Nagano", "blue", ifelse(x$PNAME=="Okinawa", "pink", 
              ifelse(x$PNAME=="Shiga", "green", "lightgrey")))
LWD <- ifelse(x$PNAME=="Nagano", 2, ifelse(x$PNAME=="Okinawa", 2, ifelse(x$PNAME=="Shiga", 2, 1)))
LTY <- ifelse(x$PNAME=="Nagano", 1, ifelse(x$PNAME=="Okinawa", 1, ifelse(x$PNAME=="Shiga", 1, 3)))
VX <- c("Cancer","Heart\n Disease","Cerebrovascular\n Disease","Pneumonia",
 "Accident","(Traffic\n Accident)","Suicide","Kidney\n Failure","Liver\n Disease",
 "Diabetes","Hypertension","Tuberculosis")
males <- x[,3:14]
females <- x[,15:26]
layout(t(1:2))
radarchart(males, maxmin=FALSE, pcol=COL, axistype=2, pty=32, plty=LTY, plwd=LWD, vlabels=VX,
 title="YLLs in males (2015)\n (Blue: Nagano, Green: Shiga,\n Pink: Okinawa, Gray: Others)")
radarchart(females, maxmin=FALSE, pcol=COL, axistype=2, pty=32, plty=LTY, plwd=LWD, vlabels=VX,
 title="YLL in females (2015)\n (Blue: Nagano, Green: Shiga,\n Pink: Okinawa, Gray: Others)")