Temperature deviation index and elderly mortality in Japan

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Temperature deviation index and elderly mortality in Japan. / Lim, Youn-Hee; Reid, Colleen E; Honda, Yasushi; Kim, Ho.

I: International Journal of Biometeorology, Bind 60, Nr. 7, 2016, s. 991-998.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Lim, Y-H, Reid, CE, Honda, Y & Kim, H 2016, 'Temperature deviation index and elderly mortality in Japan', International Journal of Biometeorology, bind 60, nr. 7, s. 991-998. https://doi.org/10.1007/s00484-015-1091-x

APA

Lim, Y-H., Reid, C. E., Honda, Y., & Kim, H. (2016). Temperature deviation index and elderly mortality in Japan. International Journal of Biometeorology, 60(7), 991-998. https://doi.org/10.1007/s00484-015-1091-x

Vancouver

Lim Y-H, Reid CE, Honda Y, Kim H. Temperature deviation index and elderly mortality in Japan. International Journal of Biometeorology. 2016;60(7):991-998. https://doi.org/10.1007/s00484-015-1091-x

Author

Lim, Youn-Hee ; Reid, Colleen E ; Honda, Yasushi ; Kim, Ho. / Temperature deviation index and elderly mortality in Japan. I: International Journal of Biometeorology. 2016 ; Bind 60, Nr. 7. s. 991-998.

Bibtex

@article{f7335f2bc86e4a2ba1e3305e8d3abcf8,
title = "Temperature deviation index and elderly mortality in Japan",
abstract = "Few studies have examined how the precedence of abnormal temperatures in previous neighboring years affects the population's health. In the present study, we attempted to quantify the health effects of abnormal weather patterns by creating a metric called the temperature deviation index (TDI) and estimated the effects of TDI on mortality in Japan. We used data from 47 prefectures in Japan to compute the TDI on days between May and September from 1966 to 2010. The TDI is a summed product of an indicator of absence of high temperatures in the neighboring years, and more weights were assigned to the years closest to the current year. To estimate the TDI effects on elderly mortality, we used generalized linear modeling with a Poisson distribution after adjusting for apparent temperature, barometric pressure, day of the week, and time trend. For each prefecture, we estimated the TDI effects and pooled the estimates to yield a national average for 1991-2010 in Japan. The estimated effects of TDI in middle- or high-latitude prefectures were greater than in low-latitude prefectures. The estimated national average of TDI effects was a 0.5 % (95 % confidence intervals [CI], 0.1, 1.0) increase in elderly mortality per 1-unit (around 1 standard deviation) increase in the TDI. The significant pooled estimation of TDI effects was mainly due to the TDI effects on summer days with moderate temperature (25th-49th percentile, mean temperature 22.9 °C): a 1.9 % (95 % CI, 1.1, 2.6) increase in elderly mortality per 1-unit increase in the TDI. However, TDI effects were insignificant in other temperature ranges. These findings suggest that elderly deaths increased on moderate temperature days in the summer that differed substantially from days during that time window in the neighboring years. Therefore, not only high temperature itself but also temperature deviation compared to previous years could be considered to be a risk factor for elderly mortality in the summer. ",
keywords = "Aged, Humans, Japan/epidemiology, Mortality, Seasons, Temperature",
author = "Youn-Hee Lim and Reid, {Colleen E} and Yasushi Honda and Ho Kim",
year = "2016",
doi = "10.1007/s00484-015-1091-x",
language = "English",
volume = "60",
pages = "991--998",
journal = "International Journal of Biometeorology",
issn = "0020-7128",
publisher = "Springer",
number = "7",

}

RIS

TY - JOUR

T1 - Temperature deviation index and elderly mortality in Japan

AU - Lim, Youn-Hee

AU - Reid, Colleen E

AU - Honda, Yasushi

AU - Kim, Ho

PY - 2016

Y1 - 2016

N2 - Few studies have examined how the precedence of abnormal temperatures in previous neighboring years affects the population's health. In the present study, we attempted to quantify the health effects of abnormal weather patterns by creating a metric called the temperature deviation index (TDI) and estimated the effects of TDI on mortality in Japan. We used data from 47 prefectures in Japan to compute the TDI on days between May and September from 1966 to 2010. The TDI is a summed product of an indicator of absence of high temperatures in the neighboring years, and more weights were assigned to the years closest to the current year. To estimate the TDI effects on elderly mortality, we used generalized linear modeling with a Poisson distribution after adjusting for apparent temperature, barometric pressure, day of the week, and time trend. For each prefecture, we estimated the TDI effects and pooled the estimates to yield a national average for 1991-2010 in Japan. The estimated effects of TDI in middle- or high-latitude prefectures were greater than in low-latitude prefectures. The estimated national average of TDI effects was a 0.5 % (95 % confidence intervals [CI], 0.1, 1.0) increase in elderly mortality per 1-unit (around 1 standard deviation) increase in the TDI. The significant pooled estimation of TDI effects was mainly due to the TDI effects on summer days with moderate temperature (25th-49th percentile, mean temperature 22.9 °C): a 1.9 % (95 % CI, 1.1, 2.6) increase in elderly mortality per 1-unit increase in the TDI. However, TDI effects were insignificant in other temperature ranges. These findings suggest that elderly deaths increased on moderate temperature days in the summer that differed substantially from days during that time window in the neighboring years. Therefore, not only high temperature itself but also temperature deviation compared to previous years could be considered to be a risk factor for elderly mortality in the summer.

AB - Few studies have examined how the precedence of abnormal temperatures in previous neighboring years affects the population's health. In the present study, we attempted to quantify the health effects of abnormal weather patterns by creating a metric called the temperature deviation index (TDI) and estimated the effects of TDI on mortality in Japan. We used data from 47 prefectures in Japan to compute the TDI on days between May and September from 1966 to 2010. The TDI is a summed product of an indicator of absence of high temperatures in the neighboring years, and more weights were assigned to the years closest to the current year. To estimate the TDI effects on elderly mortality, we used generalized linear modeling with a Poisson distribution after adjusting for apparent temperature, barometric pressure, day of the week, and time trend. For each prefecture, we estimated the TDI effects and pooled the estimates to yield a national average for 1991-2010 in Japan. The estimated effects of TDI in middle- or high-latitude prefectures were greater than in low-latitude prefectures. The estimated national average of TDI effects was a 0.5 % (95 % confidence intervals [CI], 0.1, 1.0) increase in elderly mortality per 1-unit (around 1 standard deviation) increase in the TDI. The significant pooled estimation of TDI effects was mainly due to the TDI effects on summer days with moderate temperature (25th-49th percentile, mean temperature 22.9 °C): a 1.9 % (95 % CI, 1.1, 2.6) increase in elderly mortality per 1-unit increase in the TDI. However, TDI effects were insignificant in other temperature ranges. These findings suggest that elderly deaths increased on moderate temperature days in the summer that differed substantially from days during that time window in the neighboring years. Therefore, not only high temperature itself but also temperature deviation compared to previous years could be considered to be a risk factor for elderly mortality in the summer.

KW - Aged

KW - Humans

KW - Japan/epidemiology

KW - Mortality

KW - Seasons

KW - Temperature

U2 - 10.1007/s00484-015-1091-x

DO - 10.1007/s00484-015-1091-x

M3 - Journal article

C2 - 26506929

VL - 60

SP - 991

EP - 998

JO - International Journal of Biometeorology

JF - International Journal of Biometeorology

SN - 0020-7128

IS - 7

ER -

ID: 230069860