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A survey of solitary death by heat stroke in Yokohama City

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Abstract

Background

Recent global warming and the progression of the heat-island phenomenon, mainly in urban areas, have increased the risk of heat stroke development throughout Japan. Consequently, the risk of solitary death due to heat stroke has increased, particularly in summer. Therefore, we aimed to analyze the association between some sociodemographic variables (such as age, sex, marital status) and the length of the time interval between death caused by heat stroke and discovery of the body.

Methods

We obtained the data of 69 persons who were diagnosed to have died of heat stroke during the 5 years between 2011 and 2015 in Yokohama City from vital statistics survey death certificate notifications. We also obtained emergency transportation records that matched the above-mentioned cases (48 of the 69 cases) from the Yokohama City Fire Bureau. Then, all cases (69 cases) were classified into the three groups according to the length of time from the occurrence of heat stroke death to the discovery of death (PMI-f: postmortem interval until finding). The information on each group was tabulated with regard to age (including the proportion of elderly persons), gender, marital status, and whether autopsy was performed.

Results

The results of Cochran-Armitage trend tests among the three groups revealed that, with longer PMI-f, the proportion of elderly persons significantly decreased (p = 0.028), but the proportion of unmarried persons significantly increased (p = 0.003). Logistic regression analysis also showed that an increased likelihood of prolonged PMI-f was associated with unmarried status.

Conclusions

The time from the occurrence of heat stroke death to the discovery of death tended to be longer in unmarried, non-elderly persons.

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Data availability

The detailed version of the Vital Statistics Survey Death Forms of Yokohama citizens was provided from the Ministry of Health, Labour, and Welfare (MHLW), in accordance with Article 33 of the Statistics Act. The personal information of the included cases was anonymized, de-identified, and delivered to the Medical Care Bureau of Yokohama City.

The data on heat stroke from the ambulatory care information system were obtained from the Yokohama City Fire Department.

Abbreviations

PMI-f:

Postmortem interval until finding

VIF:

Variance inflation factors

OR:

Odds ratio

CI:

Confidence interval

References

  1. Akiyama A, Hanabusa H, Mikami H (2012) Trends associated with home care supporting clinics (HCSCs) in Japan. Arch Gerontol Geriatr 54:e383–e386. https://doi.org/10.1016/j.archger.2012.01.004

  2. Basu R, Pearson D, Malig B, Broadwin R, Green R (2012) Effect of high ambient temperature on emergency room visits. Epidemiology 23:813–820. https://doi.org/10.1097/EDE.0b013e31826b7f97

  3. Fukukawa Y (2011) Solitary death: a new problem of an aging society in Japan. J Am Geriatr Soc 59:174–175. https://doi.org/10.1111/j.1532-5415.2010.03216.x

  4. Ito T, Tamiya N, Takahashi H, Yamazaki K, Yamamoto H, Sakano S, Kashiwagi M, Miyaishi S (2012) Factors that prolong the ‘postmortem interval until finding’ (PMI-f) among community-dwelling elderly individuals in Japan: analysis of registration data. BMJ Open 2:e001280. https://doi.org/10.1136/bmjopen-2012-001280

  5. Japan Meteorological Agency (2018) Record-breaking summer temperature in 2018 and future prospect . https://www.jma.go.jp/jma/press/1807/23a/20180723_kouon.pdf Accessed 1 Dec 2019

  6. Kanawaku Y, Abe N, Tanifuji T, Nozaki I, Mori S, Fukunaga T, Funayama M, Kanetake J (2013) The statistics of differences in actual situation of solitary death between Tokyo 23 districts. J Health Welf Stat 60:1–7

  7. Kashiwagi M, Tamiya N, Murata M (2015) Characteristics of visiting nurse agencies with high home death rates: a prefecture-wide study in Japan. Geriatr Gerontol Int 15:936–943. https://doi.org/10.1111/ggi.12372

  8. Kondo M, Ono M, Nakazawa K, Kayaba M, Minakuchi E, Sugimoto K, Honda Y (2013) Population at high-risk of indoor heatstroke: the usage of cooling appliances among urban elderlies in Japan. Environ Health Prev Med 18:251–257. https://doi.org/10.1007/s12199-012-0313-7

  9. Lee WK, Lee HA, Park H (2016) Modifying effect of heat waves on the relationship between temperature and mortality. J Korean Med Sci 31:702–708. https://doi.org/10.3346/jkms.2016.31.5.702

  10. Leon LR, Bouchama (2015) Heat stroke. Comp Physiol 5:611–647. https://doi.org/10.1002/cphy.c140017

  11. Matte TD, Lane K, Ito K (2016) Excess mortality attributable to extreme heat in New York City, 1997-2013. Health Secur 14:64–70. https://doi.org/10.1089/hs.2015.0059

  12. Ministry of Internal Affairs and Communications (2019) Ambulance transportation by heat stroke during summer 2019 . https://www.fdma.go.jp/disaster/heatstroke/item/heatstroke003_houdou01.pdf Accessed 1 Dec 2019

  13. Murakami S, Miyatake N, Sakano N (2012) Changes in air temperature and its relation to ambulance transports due to heat stroke in all 47 prefectures of Japan. J Prev Med Public Health 45:309–315. https://doi.org/10.3961/jpmph.2012.45.5.309

  14. Muramatsu N, Akiyama H (2011) Japan: super-aging society preparing for the future. Gerontologist 51:425–432. https://doi.org/10.1093/geront/gnr067

  15. Nomura M, McLean S, Miyamori D, Kakiuchi Y, Ikegaya H (2016) Isolation and unnatural death of elderly people in the aging Japanese society. Sci Justice 56:80–83. https://doi.org/10.1016/j.scijus.2015.12.003

  16. Onda H, Yokota H (2011) Risk factor of heat stroke. Nihon Rinsho 70:947–951

  17. Takaya A, Morioka Y, Behera SK (2014) Role of climate variability in the heatstroke death rates of Kanto region in Japan. Sci Rep 4:5655. https://doi.org/10.1038/srep05655

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Acknowledgements

We are grateful for the support and cooperation of the Yokohama City Fire Department and Medical Care Bureau, as well as Department of Biostatistics, Yokohama City University.

Funding

This work was not supported by any foundation.

Author information

Y.K., R.N., E.O., Y.K., and M.O. made substantial contributions to the conception and design of the study, gave good analysis and interpretation of the data, and assisted in drafting the article or critically revising it for important intellectual content. Y.K. and M.O. made substantial contributions to the data collection and provided materials and resources. R.N., E.O., and Y.K. made substantial contributions to the conception and design of the study, gave good analysis and interpretation of the data, and assisted in drafting the article or critically revising it for important intellectual content. All authors read and approved the final manuscript.

Correspondence to Yasuhiro Kakiuchi.

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Competing interests

The authors declare that they have no conflicts of interest with respect to this study or paper.

Ethics approval

The Ethics Committee of the Tokai University School of Medicine approved the study protocol and use of patient data (approval no. 17R-101). We also received approval from the Ethics Committee of Yokohama City Institutes of Health.

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Not applicable.

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Cite this article

Kakiuchi, Y., Nagao, R., Ochiai, E. et al. A survey of solitary death by heat stroke in Yokohama City. J Public Health (Berl.) (2020). https://doi.org/10.1007/s10389-020-01226-x

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Keywords

  • Heat stroke
  • Solitary death
  • Marital status
  • Vital statistics
  • Emergency transportation data