PrefYLL2020: Years of Life Lost by several causes in Japan 2020 for each...
In fmsb: Functions for Medical Statistics Book with some Demographic Data

PrefYLL2020

R Documentation

Years of Life Lost by several causes in Japan 2020 for each prefecture

Description

The data gives years of life lost by several causes in Japan 2020 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, 2020). Until 2015, deaths caused by tuberculosis were analyzed, but in 2020, deaths caused by COVID-19 are calculated instead.

Usage

PrefYLL2020

Format

A data frame with 47 observations on 28 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]`	`Top3M`	numeric	Years of Life Lost (YLL) of males by cancer, heart disease or cerebrovascular disease
`[, 7]`	`PneumoniaM`	numeric	Years of Life Lost (YLL) of males by pneumonia
`[, 8]`	`AccidentM`	numeric	Years of Life Lost (YLL) of males by accident
`[, 9]`	`TrafficM`	numeric	Years of Life Lost (YLL) of males by traffic accidents
`[,10]`	`SuicideM`	numeric	Years of Life Lost (YLL) of males by suicide
`[,11]`	`KidneyM`	numeric	Years of Life Lost (YLL) of males by kidney failure
`[,12]`	`LiverM`	numeric	Years of Life Lost (YLL) of males by liver disease
`[,13]`	`DiabetesM`	numeric	Years of Life Lost (YLL) of males by diabetes
`[,14]`	`HypertensM`	numeric	Years of Life Lost (YLL) of males by hypertension
`[,15]`	`Covid19M`	numeric	Years of Life Lost (YLL) of males by tuberculosis
`[,16]`	`CancerF`	numeric	Years of Life Lost (YLL) of females by cancer
`[,17]`	`CardioF`	numeric	Years of Life Lost (YLL) of females by heart diseases except for hypertention
`[,18]`	`CerebroF`	numeric	Years of Life Lost (YLL) of females by cerebrovascular disease
`[,19]`	`Top3F`	numeric	Years of Life Lost (YLL) of females by cancer, heart disease or cerebrovascular disease
`[,20]`	`PneumoniaF`	numeric	Years of Life Lost (YLL) of females by pneumonia
`[,21]`	`AccidentF`	numeric	Years of Life Lost (YLL) of females by accident
`[,22]`	`TrafficF`	numeric	Years of Life Lost (YLL) of females by traffic accidents
`[,23]`	`SuicideF`	numeric	Years of Life Lost (YLL) of females by suicide
`[,24]`	`KidneyF`	numeric	Years of Life Lost (YLL) of females by kidney failure
`[,25]`	`LiverF`	numeric	Years of Life Lost (YLL) of females by liver disease
`[,26]`	`DiabetesF`	numeric	Years of Life Lost (YLL) of females by diabetes
`[,27]`	`HypertensF`	numeric	Years of Life Lost (YLL) of females by hypertension
`[,28]`	`Covid19F`	numeric	Years of Life Lost (YLL) of females by tuberculosis

Details

Years of Life Lost by several causes in Japan 2020 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]).
Top3[M|F]: YLL by above 3 major diseases 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]).
Covid19[M|F]: YLL by COVID-19 for males ([M]) or for females ([F]).

Source

https://www.mhlw.go.jp/toukei/saikin/hw/life/tdfk20/dl/tdfk20-08.xls

References

Ministry of Health, Labor and Welfare of Japan: Vital Statistics with Life Expectancy 2020. 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 <- PrefYLL2020
COL <- ifelse(x$PNAME=="Nagano", "blue", ifelse(x$PNAME=="Okinawa", "red", 
              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","Top 3 causes","Pneumonia",
 "Accident","(Traffic\n Accident)","Suicide","Kidney\n Failure","Liver\n Disease",
 "Diabetes","Hypertension","Tuberculosis")
males <- x[,3:15]
females <- x[,16:28]
layout(t(1:2))
radarchart(males, maxmin=FALSE, pcol=COL, axistype=2, pty=32, plty=LTY, plwd=LWD, vlabels=VX,
 title="YLLs in males (2020)\n (Blue: Nagano, Green: Shiga,\n Red: Okinawa, Gray: Others)")
radarchart(females, maxmin=FALSE, pcol=COL, axistype=2, pty=32, plty=LTY, plwd=LWD, vlabels=VX,
 title="YLL in females (2020)\n (Blue: Nagano, Green: Shiga,\n Red: Okinawa, Gray: Others)")

fmsb documentation built on May 29, 2024, 2:02 a.m.