期刊论文详细信息
BMC Public Health
Associations between risk perception, spontaneous adaptation behavior to heat waves and heatstroke in Guangdong province, China
Wen Jun Ma2  Hua Liang Lin2  Cordia Chu1  Shannon Rutherford1  Yuan Luo2  Hui Yan Xie2  Xiu Ling Song3  Qing Hua Yan2  Yong Hui Zhang3  Yan Jun Xu3  Tao Liu2 
[1]Center for Environment and Population Health, Griffith University, Brisbane, QLD 4111, Australia
[2]Environment and Health, Guangdong Provincial Key Medical Discipline of Twelfth Five-Year Plan, Panyu District, Guangzhou 511430, China
[3]Guangdong Provincial Center for Disease Control and Prevention, Panyu District, Guangzhou 511430, China
关键词: Interactive effect;    Heatstroke;    Adaptation behaviors;    Extreme heat;    Heat waves;    Climate change;    Risk perception;   
Others  :  1161709
DOI  :  10.1186/1471-2458-13-913
 received in 2013-05-16, accepted in 2013-09-16,  发布年份 2013
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【 摘 要 】

Background

In many parts of the world, including in China, extreme heat events or heat waves are likely to increase in intensity, frequency, and duration in light of climate change in the next decades. Risk perception and adaptation behaviors are two important components in reducing the health impacts of heat waves, but little is known about their relationships in China. This study aimed to examine the associations between risk perception to heat waves, adaptation behaviors, and heatstroke among the public in Guangdong province, China.

Methods

A total of 2,183 adult participants were selected using a four-stage sampling method in Guangdong province. From September to November of 2010 each subject was interviewed at home by a well-trained investigator using a structured questionnaire. The information collected included socio-demographic characteristics, risk perception and spontaneous adaptation behaviors during heat wave periods, and heatstroke experience in the last year. Chi-square tests and unconditional logistic regression models were employed to analyze the data.

Results

This study found that 14.8%, 65.3% and 19.9% of participants perceived heat waves as a low, moderate or high health risk, respectively. About 99.1% participants employed at least one spontaneous adaptation behavior, and 26.2%, 51.2% and 22.6% respondents employed <4, 4–7, and >7 adaptation behaviors during heat waves, respectively. Individuals with moderate (OR=2.93, 95% CI: 1.38-6.22) or high (OR=10.58, 95% CI: 4.74-23.63) risk perception experienced more heatstroke in the past year than others. Drinking more water and wearing light clothes in urban areas, while decreasing activity as well as wearing light clothes in rural areas were negatively associated with heatstroke. Individuals with high risk perception and employing <4 adaptation behaviors during heat waves had the highest risks of heatstroke (OR=47.46, 95% CI: 12.82-175.73).

Conclusions

There is a large room for improving health risk perception and adaptation capacity to heat waves among the public of Guangdong province. People with higher risk perception and fewer adaptation behaviors during heat waves may be more vulnerable to heat waves.

【 授权许可】

   
2013 Liu et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Pachauri RK, Reisinger A: Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva: Intergovernmental Panel on Climate Change; 2007.
  • [2]Kalkstein LS, Greene JS: An evaluation of climate/mortality relationships in large U.S. cities and the possible impacts of a climate change. Environ Health Perspect 1997, 105:84-93.
  • [3]Patz JA, Engelberg D, Last J: The effects of changing weather on public health. Annu Rev Public Health 2000, 21:271-307.
  • [4]Schär C, Jendritzky G: Climate change: hot news from summer 2003. Nature 2004, 432:559-560.
  • [5]Huang W, Kan H, Kovats S: The impact of the 2003 heat wave on mortality in Shanghai, China. Sci Total Environ 2010, 408:2418-2420.
  • [6]Sjöberg L, Moen BE, Rundmo T: Explaining risk perception. An evaluation of the psychometric paradigm in risk perception research. Norway: Norwegian University of Science and Technology; 2004.
  • [7]Adger WN: New indicators of vulnerability and adaptive capacity. Tyndall Centre for Climate Change Research Norwich: UK; 2004.
  • [8]Janis IL: Psychological effects of warnings. In Man and Society in Disaster. Edited by Baker GW, Chapman DW. New York: Basic Books; 1962.
  • [9]Sims JH, Baumann DD: Educational programs and human response to Natural Hazards. Environ Behav 1983, 15:165-189.
  • [10]Perry RW, Lindell MK, Greene MR: Crisis communications: ethnic differentials in interpreting and acting on disaster warnings. Soc Behav Pers 1982, 10:97-104.
  • [11]Kalkstein AJ, Sheridan SC: The social impacts of the heat-health watch/warning system in Phoenix, Arizona: assessing the perceived risk and response of the public. Int J Biometeorol 2007, 52:43-55.
  • [12]Epstein Y, Roberts WO: The pathopysiology of heat stroke: an integrative view of the final common pathway. Scand J Med Sci Sports 2011, 21:742-748.
  • [13]Bouchama A, Knochel JP: Heat stroke. N Engl J Med 2002, 346:1978-1988.
  • [14]De Souza AL: Global warming & heatstroke. Indian J Med Res 2008, 128:574-576.
  • [15]Xu YJ, Liu T, Song XL, Yan QH, Xie HY, Zhou SE, Ma WJ: Investigation on the perception of risk level of heat wave and its related factors in Guangdong province. Chin J Pre Med 2012, 46:613-618.
  • [16]Yan QH, Ma WJ: Research progress of risk perception theory and its application in studies on risk perception to heat waves in the public. Chin J Pre Med 2011, 45:270-273.
  • [17]Hu MJ, Yan QH, Ma WJ, Liu T, Xu YJ, Song XL, Lin HL, Luo Y, XIao JP: Analysis of influencing factors of heatstroke on residents in Guangdong Province. South China J Prev Med 2013, 39:1-5.
  • [18]Zhang LP: Age structure distorted problem of applying kish table for the household interview. Sociol Stud 2009, 26:103-104.
  • [19]Sheridan SC: A survey of public perception and response to heat warnings across four North American cities: an evaluation of municipal effectiveness. Int J Biometeorol 2007, 52:3-15.
  • [20]Kan H, London SJ, Chen H, Song G, Chen G, Jiang L, Zhao N, Zhang Y, Chen B: Diurnal temperature range and daily mortality in Shanghai, China. Environ Res 2007, 103:424-431.
  • [21]Kan HD, Jia J, Chen BH: Temperature and daily mortality in Shanghai: a time-series study. Biomed Environ Sci 2003, 16:133-139.
  • [22]Shen T, Howe HL, Alo C, Moolenaar RL: Toward a broader definition of heat-related death: comparison of mortality estimates from medical examiners’ classification with those from total death differentials during the July 1995 heat wave in Chicago, Illinois. Am J Forensic Med Pathol 1998, 19:113-118.
  • [23]Huynen MM, Martens P, Schram D, Weijenberg MP, Kunst AE: The impact of heat waves and cold spells on mortality rates in the Dutch population. Environ Health Perspect 2001, 109:463-470.
  • [24]Alhakami AS, Slovic P: A psychological study of the inverse relationship between perceived risk and perceived benefit. Risk Anal 2006, 14:1085-1096.
  • [25]Gosling S, Lowe J, McGregor G, Pelling M, Malamud B: Associations between elevated atmospheric temperature and human mortality: a critical review of the literature. Clim Change 2009, 92:299-341.
  • [26]Semenza JC, Hall DE, Wilson DJ, Bontempo BD, Sailor DJ, George LA: Public perception of climate change voluntary mitigation and barriers to behavior change. Am J Prev Med 2008, 35:479-487.
  • [27]Boholm A: Comparative studies of risk perception: a review of twenty years of research. J Risk Res 1998, 1:135-163.
  • [28]Byrnes JP, Miller DC, Schafer WD: Gender differences in risk taking: a meta-analysis. Psychol Bull 1999, 125:367.
  • [29]Kellens W, Terpstra T, De Maeyer P: Perception and communication of flood risks: a systematic review of empirical research. Risk Anal 2013, 33:24-49.
  • [30]Grothmanna T, Patt A: Adaptive capacity and human cognition: the process of individual adaptation to climate change. Glob Environ Change 2005, 15:199-213.
  • [31]O’Riordan T: Geography, Resources and Environment, Volume 2: Themes from the Work of Gilbert F. White. Chicago: The University of Chicago Press; 1986.
  • [32]Weinstein ND: Unrealistic optimism about susceptibility to health problems. J Behav Med 1982, 5:441-460.
  • [33]Weinstein ND: Unrealistic optimism about susceptibility to health problems: conclusions from a community-wide sample. J Behav Med 1987, 10:481-500.
  • [34]Vitek JD, Berta SM: Improving perception of and response to Natural Hazards: the need for local education. J Geogr 1982, 81:225-228.
  • [35]Perry RW, Lindell MK: Aged citizens in the warning phase of disasters: re-examining the evidence. Int J Aging Hum Dev 1997, 44:257-267.
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