摘要
目的明确广东省高温热浪期间发生中暑的脆弱人群,为采取措施保护该人群提供科学依据。方法于2010年9—11月采用4阶段分层整群抽样的方法在广东省内抽取5个市,每市抽取1个县及区,每个县区抽取6个片区,每片区抽取50户,对每户随机选出1名15～69岁居民进行入户面对面询问调查,调查内容包括一般人口学特征、社会经济状况、热浪相关知识和适应行为。采用2检验、非条件logistic回归分析广东省居民发生中暑的影响因素。结果共调查2 183人,平均年龄为(39.31±14.16)岁,其中男性占53.37%(1 165/2 183),城市居民占48.74%(1 064/2 183)。总体中暑发生率为6.8%(149/2 183)。不同社会经济状况(包括职业、地区和收入)人群中暑发生率不同(P﹤0.05),农林牧渔业(11.4%,58/507)、农村(10.1%,113/1 119)、月收入<1 000元(11.2%,75/671)居民中暑发生率最高。所有调查对象对健康风险认知平均得分为(4.21±1.47)分(得分范围1～7),对热浪的知晓率为38.11%(832/2 183),对热浪的平均适应得分为(4.80±2.39)分(得分范围0～9)。Logistic回归结果显示农林牧渔业和离退休人员发生中暑的风险分别高于其他职业(OR=2.40、2.32),农村居民发生中暑的风险高于城市居民(OR=2.62),人均月收入<1 000元的居民发生中暑的风险高于收入≥10 000元人群(OR=2.48)。结论高温热浪期间广东省居民中暑发生率较高,农村及社会经济状况低下的人群是中暑的脆弱人群,需要重点加以保护。
Objective To define vulnerable groups to heatstroke during the heat wave in Guang- dong Province, and to provide scientific evidence for taking measures to protect the population. Methods Subjects were selected by a four-stage sampling method in five cities in Guangdong Province and inter- viewed in their homes with a structured questionnaire by well trained investigators from September to No- vember, 2010. The questionnaire contained socio-demographic characteristics, heat wave related knowl- edge, and adaptation behaviors to heat wave. Chi-square test and unconditional logistic regression analysis were employed to analyze the influencing factors of heatstroke among the residents of Guangdong Province. Results A total of 2 183 adults were selected. Their average age was （39. 31 ± 14. 16） years. Of them, 1 165 （53.37%） were male and 1 018 （46. 63% ） were female; 1 064 （48.74%） were in urban area and 1 119 （ 51.26% ） in rural area. The overall incidence of heat stroke was 6. 8% （ 149/2 183 ）. The in- cidence rates of heatstroke were 11.4% （58/507） for groups conducting animal husbandry and fishery, 10. 1% （113/1119）in rural area, and 11.2% （75/671） for low income （ 〈 1 000 Yuan/month）, and the differences were statistically significant （ P 〈 0. 05 ）. So they were the vulnerable groups to heatstroke. Results of unconditional logistic regression analysis revealed that the risks of heatstroke for groups conduc- ting animal husbandry and fishery, in rural area, and low income ware 2. 40 times, 2. 62 times, and 2.48 times of other groups. The overall health risk perception mean score was （4.21± 1.47）. 38. 11% （832/2 183）of participants heard about heat wave and the average fitness score was （4. 80 ± 2. 39）. Conclusion The incidence of heatstroke was high during the heat wave in Guangdong Province. The groups with low socioeconomic status and in rural area were vulnerable to heatstroke and would need special orotection.
出处
《华南预防医学》
2013年第2期1-5,共5页
South China Journal of Preventive Medicine
基金
广东省医学科研基金(A2011065)
关键词
居民
中暑
因素分析
统计学
Resident
Heat stroke
Factor analysis,statistical
