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Role of Acclimatization in Weather-Related Human Mortality During the Transition Seasons of Autumn and Spring in a Thermally Extreme Mid-Latitude Continental Climate

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  • Christopher R. De Freitas

    (School of Environment, University of Auckland, Auckland 1142, New Zealand)

  • Elena A. Grigorieva

    (Institute for Complex Analysis of Regional Problems, Far Eastern Branch, Russian Academy of Sciences, Birobidzhan 679016, Russia)

Abstract

Human mortality is closely related to natural climate-determined levels of thermal environmental stress and the resulting thermophysiological strain. Most climate-mortality research has focused on seasonal extremes during winter and summer when mortality is the highest, while relatively little attention has been paid to mortality during the transitional seasons of autumn and spring. The body acclimatizes to heat in the summer and cold in winter and readjusts through acclimatization during the transitions between the two during which time the body experiences the thermophysiological strain of readjustment. To better understand the influences of weather on mortality through the acclimatization process, the aim here is to examine the periods that link very cold and very warms seasons. The study uses the Acclimatization Thermal Strain Index (ATSI), which is a comparative measure of short-term thermophysiological impact on the body. ATSI centers on heat exchange with the body’s core via the respiratory system, which cannot be protected. The analysis is based on data for a major city in the climatic region of the Russian Far East characterized by very hot summers and extremely cold winters. The results show that although mortality peaks in winter (January) and is at its lowest in summer (August), there is not a smooth rise through autumn nor a smooth decline through spring. A secondary peak occurs in autumn (October) with a smaller jump in May. This suggests the acclimatization from warm-to-cold produces more thermophysiological strain than the transition from cold-to-warm. The study shows that ATSI is a useful metric for quantifying the extent to which biophysical adaptation plays a role in increased strain on the body during re-acclimatization and for this reason is a more appropriate climatic indictor than air temperature alone. The work gives useful bioclimatic information on risks involved in transitional seasons in regions characterized by climatic extremes. This could be handy in planning and managing health services to the public and measures that might be used to help mitigate impacts.

Suggested Citation

  • Christopher R. De Freitas & Elena A. Grigorieva, 2015. "Role of Acclimatization in Weather-Related Human Mortality During the Transition Seasons of Autumn and Spring in a Thermally Extreme Mid-Latitude Continental Climate," IJERPH, MDPI, vol. 12(12), pages 1-14, November.
  • Handle: RePEc:gam:jijerp:v:12:y:2015:i:12:p:14962-14987:d:59467
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    References listed on IDEAS

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    1. Yu Liu & Yong Guo & Changbing Wang & Weidong Li & Jinhua Lu & Songying Shen & Huimin Xia & Jianrong He & Xiu Qiu, 2015. "Association between Temperature Change and Outpatient Visits for Respiratory Tract Infections among Children in Guangzhou, China," IJERPH, MDPI, vol. 12(1), pages 1-16, January.
    2. Roland Rau & Gabriele Doblhammer, 2003. "Seasonal mortality in Denmark: the role of sex and age," MPIDR Working Papers WP-2003-014, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Roland Rau & Gabriele Doblhammer, 2003. "Seasonal mortality in Denmark," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(9), pages 197-222.
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    Cited by:

    1. Mengxuan Li & Benjamin A. Shaw & Wangjian Zhang & Elizabeth Vásquez & Shao Lin, 2019. "Impact of Extremely Hot Days on Emergency Department Visits for Cardiovascular Disease among Older Adults in New York State," IJERPH, MDPI, vol. 16(12), pages 1-13, June.
    2. Osvaldo Fonseca-Rodríguez & Erling Häggström Lundevaller & Scott C. Sheridan & Barbara Schumann, 2019. "Association between Weather Types based on the Spatial Synoptic Classification and All-Cause Mortality in Sweden, 1991–2014," IJERPH, MDPI, vol. 16(10), pages 1-12, May.

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