Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement

BACKGROUND: In many places, daily mortality has been shown to increase after days with particularly high or low temperatures, but such daily time-series studies cannot identify whether such increases reflect substantial life shortening or short-term displacement of deaths (harvesting). OBJECTIVES: To clarify this issue, we estimated the association between annual mortality and annual summaries of heat and cold in 278 locations from 12 countries. METHODS: Indices of annual heat and cold were used as predictors in regressions of annual mortality in each location, allowing for trends over time and clustering of annual count anomalies by country and pooling estimates using meta-regression. We used two indices of annual heat and cold based on preliminary standard daily analyses: a) mean annual degrees above/below minimum mortality temperature (MMT), and b) estimated fractions of deaths attributed to heat and cold. The first index was simpler and matched previous related research; the second was added because it allowed the interpretation that coefficients equal to 0 and 1 are consistent with none (0) or all (1) of the deaths attributable in daily analyses being displaced by at least 1 y. RESULTS: On average, regression coefficients of annual mortality on heat and cold mean degrees were 1.7% [95% confidence interval (CI): 0.3, 3.1] and 1.1% (95% CI: 0.6, 1.6) per degree, respectively, and daily attributable fractions were 0.8 (95% CI: 0.2, 1.3) and 1.1 (95% CI: 0.9, 1.4). The proximity of the latter coefficients to 1.0 provides evidence that most deaths found attributable to heat and cold in daily analyses were brought forward by at least 1 y. Estimates were broadly robust to alternative model assumptions. CONCLUSIONS: These results provide strong evidence that most deaths associated in daily analyses with heat and cold are displaced by at least 1 y.

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Main Authors: Armstrong, B., Bell, M. L., Coelho, M.d.S.Z.S., Guo, Y. L. L., Guo, Y., Goodman, P., Hashizume, Masahiro, Honda, Y., Kim, H., Lavigne, Eric, Michelozzi, P., Saldiva, P. H. N., Schwartz, J., Scortichini, M., Sera, F., Tobías, Aurelio, Tong, S., Wu, C.F., Zanobetti, Antonella, Zeka, A., Gasparrini, A.
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Published: 2017
Online Access:http://hdl.handle.net/10261/219172
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spelling dig-idaea-es-10261-2191722021-12-28T15:33:37Z Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement Armstrong, B. Bell, M. L. Coelho, M.d.S.Z.S. Guo, Y. L. L. Guo, Y. Goodman, P. Hashizume, Masahiro Honda, Y. Kim, H. Lavigne, Eric Michelozzi, P. Saldiva, P. H. N. Schwartz, J. Scortichini, M. Sera, F. Tobías, Aurelio Tong, S. Wu, C.F. Zanobetti, Antonella Zeka, A. Gasparrini, A. BACKGROUND: In many places, daily mortality has been shown to increase after days with particularly high or low temperatures, but such daily time-series studies cannot identify whether such increases reflect substantial life shortening or short-term displacement of deaths (harvesting). OBJECTIVES: To clarify this issue, we estimated the association between annual mortality and annual summaries of heat and cold in 278 locations from 12 countries. METHODS: Indices of annual heat and cold were used as predictors in regressions of annual mortality in each location, allowing for trends over time and clustering of annual count anomalies by country and pooling estimates using meta-regression. We used two indices of annual heat and cold based on preliminary standard daily analyses: a) mean annual degrees above/below minimum mortality temperature (MMT), and b) estimated fractions of deaths attributed to heat and cold. The first index was simpler and matched previous related research; the second was added because it allowed the interpretation that coefficients equal to 0 and 1 are consistent with none (0) or all (1) of the deaths attributable in daily analyses being displaced by at least 1 y. RESULTS: On average, regression coefficients of annual mortality on heat and cold mean degrees were 1.7% [95% confidence interval (CI): 0.3, 3.1] and 1.1% (95% CI: 0.6, 1.6) per degree, respectively, and daily attributable fractions were 0.8 (95% CI: 0.2, 1.3) and 1.1 (95% CI: 0.9, 1.4). The proximity of the latter coefficients to 1.0 provides evidence that most deaths found attributable to heat and cold in daily analyses were brought forward by at least 1 y. Estimates were broadly robust to alternative model assumptions. CONCLUSIONS: These results provide strong evidence that most deaths associated in daily analyses with heat and cold are displaced by at least 1 y. 2020-09-07T06:20:05Z 2020-09-07T06:20:05Z 2017 2020-09-07T06:20:05Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1289/EHP1756 issn: 1552-9924 Environmental Health Perspectives 125 (2017) http://hdl.handle.net/10261/219172 10.1289/EHP1756 29084393 Publisher's version http://dx.doi.org/10.1289/EHP1756 Sí open
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country España
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description BACKGROUND: In many places, daily mortality has been shown to increase after days with particularly high or low temperatures, but such daily time-series studies cannot identify whether such increases reflect substantial life shortening or short-term displacement of deaths (harvesting). OBJECTIVES: To clarify this issue, we estimated the association between annual mortality and annual summaries of heat and cold in 278 locations from 12 countries. METHODS: Indices of annual heat and cold were used as predictors in regressions of annual mortality in each location, allowing for trends over time and clustering of annual count anomalies by country and pooling estimates using meta-regression. We used two indices of annual heat and cold based on preliminary standard daily analyses: a) mean annual degrees above/below minimum mortality temperature (MMT), and b) estimated fractions of deaths attributed to heat and cold. The first index was simpler and matched previous related research; the second was added because it allowed the interpretation that coefficients equal to 0 and 1 are consistent with none (0) or all (1) of the deaths attributable in daily analyses being displaced by at least 1 y. RESULTS: On average, regression coefficients of annual mortality on heat and cold mean degrees were 1.7% [95% confidence interval (CI): 0.3, 3.1] and 1.1% (95% CI: 0.6, 1.6) per degree, respectively, and daily attributable fractions were 0.8 (95% CI: 0.2, 1.3) and 1.1 (95% CI: 0.9, 1.4). The proximity of the latter coefficients to 1.0 provides evidence that most deaths found attributable to heat and cold in daily analyses were brought forward by at least 1 y. Estimates were broadly robust to alternative model assumptions. CONCLUSIONS: These results provide strong evidence that most deaths associated in daily analyses with heat and cold are displaced by at least 1 y.
format artículo
author Armstrong, B.
Bell, M. L.
Coelho, M.d.S.Z.S.
Guo, Y. L. L.
Guo, Y.
Goodman, P.
Hashizume, Masahiro
Honda, Y.
Kim, H.
Lavigne, Eric
Michelozzi, P.
Saldiva, P. H. N.
Schwartz, J.
Scortichini, M.
Sera, F.
Tobías, Aurelio
Tong, S.
Wu, C.F.
Zanobetti, Antonella
Zeka, A.
Gasparrini, A.
spellingShingle Armstrong, B.
Bell, M. L.
Coelho, M.d.S.Z.S.
Guo, Y. L. L.
Guo, Y.
Goodman, P.
Hashizume, Masahiro
Honda, Y.
Kim, H.
Lavigne, Eric
Michelozzi, P.
Saldiva, P. H. N.
Schwartz, J.
Scortichini, M.
Sera, F.
Tobías, Aurelio
Tong, S.
Wu, C.F.
Zanobetti, Antonella
Zeka, A.
Gasparrini, A.
Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement
author_facet Armstrong, B.
Bell, M. L.
Coelho, M.d.S.Z.S.
Guo, Y. L. L.
Guo, Y.
Goodman, P.
Hashizume, Masahiro
Honda, Y.
Kim, H.
Lavigne, Eric
Michelozzi, P.
Saldiva, P. H. N.
Schwartz, J.
Scortichini, M.
Sera, F.
Tobías, Aurelio
Tong, S.
Wu, C.F.
Zanobetti, Antonella
Zeka, A.
Gasparrini, A.
author_sort Armstrong, B.
title Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement
title_short Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement
title_full Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement
title_fullStr Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement
title_full_unstemmed Longer-term impact of high and low temperature on mortality: An international study to clarify length of mortality displacement
title_sort longer-term impact of high and low temperature on mortality: an international study to clarify length of mortality displacement
publishDate 2017
url http://hdl.handle.net/10261/219172
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