Discipline of Public Health, School of Population Health, The University of Adelaide, Adelaide, SA 5005, Australia.
Int J Environ Res Public Health. 2013 May 29;10(6):2164-84. doi: 10.3390/ijerph10062164.
Heat waves are considered a health risk and they are likely to increase in frequency, intensity and duration as a consequence of climate change. The effects of heat waves on human health could be reduced if individuals recognise the risks and adopt healthy behaviours during a heat wave. The purpose of this study was to determine the predictors of risk perception using a heat wave scenario and identify the constructs of the health belief model that could predict adaptive behaviours during a heat wave. A cross-sectional study was conducted during the summer of 2012 among a sample of persons aged between 30 to 69 years in Adelaide. Participants' perceptions were assessed using the health belief model as a conceptual frame. Their knowledge about heat waves and adaptive behaviours during heat waves was also assessed. Logistic regression analyses were performed to determine the predictors of risk perception to a heat wave scenario and adaptive behaviours during a heat wave. Of the 267 participants, about half (50.9%) had a high risk perception to heat waves while 82.8% had good adaptive behaviours during a heat wave. Multivariate models found that age was a significant predictor of risk perception. In addition, participants who were married (OR = 0.21; 95% CI, 0.07-0.62), who earned a gross annual household income of ≥$60,000 (OR = 0.41; 95% CI, 0.17-0.94) and without a fan (OR = 0.29; 95% CI, 0.11-0.79) were less likely to have a high risk perception to heat waves. Those who were living with others (OR = 2.87; 95% CI, 1.19-6.90) were more likely to have a high risk perception to heat waves. On the other hand, participants with a high perceived benefit (OR = 2.14; 95% CI, 1.00-4.58), a high "cues to action" (OR = 3.71; 95% CI, 1.63-8.43), who had additional training or education after high school (OR = 2.65; 95% CI, 1.25-5.58) and who earned a gross annual household income of ≥$60,000 (OR = 2.66; 95% CI, 1.07-6.56) were more likely to have good adaptive behaviours during a heat wave. The health belief model could be useful to guide the design and implementation of interventions to promote adaptive behaviours during heat waves.
热浪被认为是一种健康风险,由于气候变化,热浪的频率、强度和持续时间可能会增加。如果个人在热浪期间认识到风险并采取健康行为,热浪对人类健康的影响可能会降低。本研究的目的是使用热浪情景确定风险感知的预测因素,并确定健康信念模型的结构可以预测热浪期间的适应行为。2012 年夏季,在阿德莱德的 30 至 69 岁人群中进行了一项横断面研究。参与者的感知是使用健康信念模型作为概念框架进行评估的。还评估了他们对热浪的知识和热浪期间的适应行为。进行了逻辑回归分析,以确定对热浪情景的风险感知和热浪期间的适应行为的预测因素。在 267 名参与者中,约有一半(50.9%)对热浪有较高的风险感知,而 82.8%在热浪期间有良好的适应行为。多变量模型发现年龄是风险感知的一个重要预测因素。此外,已婚参与者(OR=0.21;95%CI,0.07-0.62)、家庭年收入≥60000 澳元(OR=0.41;95%CI,0.17-0.94)和没有电扇(OR=0.29;95%CI,0.11-0.79)的参与者不太可能对热浪有较高的风险感知。与他人同住的参与者(OR=2.87;95%CI,1.19-6.90)更有可能对热浪有较高的风险感知。另一方面,那些认为益处较大(OR=2.14;95%CI,1.00-4.58)、“行动线索”较高(OR=3.71;95%CI,1.63-8.43)、高中后接受过额外培训或教育(OR=2.65;95%CI,1.25-5.58)和家庭年收入≥60000 澳元(OR=2.66;95%CI,1.07-6.56)的参与者更有可能在热浪期间采取良好的适应行为。健康信念模型可用于指导设计和实施干预措施,以促进热浪期间的适应行为。