高溫?zé)崂似陂g居民行為習(xí)慣變化與中暑的關(guān)聯(lián)研究
發(fā)布時(shí)間:2018-03-04 20:46
本文選題:中暑 切入點(diǎn):行為 出處:《環(huán)境與健康雜志》2017年06期 論文類(lèi)型:期刊論文
【摘要】:目的分析高溫?zé)崂似陂g居民行為習(xí)慣變化與中暑的關(guān)系,為中暑易感人群開(kāi)展行為干預(yù)提供科學(xué)依據(jù)。方法于2014年9—11月,采用分層整群隨機(jī)抽樣方法,在隨機(jī)抽取的寧波市2個(gè)縣(市)各隨機(jī)抽取2個(gè)鄉(xiāng)鎮(zhèn),每個(gè)鄉(xiāng)(鎮(zhèn))隨機(jī)抽取2個(gè)居委會(huì)(村),共抽中8個(gè)居委會(huì)(村),每個(gè)居委會(huì)(村)抽取120戶(hù)開(kāi)展入戶(hù)調(diào)查。調(diào)查內(nèi)容包括一般人口學(xué)特征、7—9月高溫?zé)崂似陂g行為習(xí)慣變化及中暑情況等。采用logistic回歸模型分析居民行為習(xí)慣變化與中暑的關(guān)系。結(jié)果調(diào)查對(duì)象平均年齡為(44.51±16.37)歲,其中男性1 356人,女性1 409人,發(fā)生中暑173人,中暑發(fā)病率為6.26%。將單因素logistic回歸中P0.20的5個(gè)變量(飲食、口味、睡眠變化及改變出行交通工具、空調(diào)降溫)納入多因素logistic回歸模型,并控制混雜因素的影響,發(fā)現(xiàn)口味變重(OR=3.37,95%CI:1.54~7.38)是中暑的危險(xiǎn)因素,改變出行交通工具(OR=0.64,95%CI:0.46~0.90)是中暑的保護(hù)因素。結(jié)論在高溫?zé)崂似陂g,大部分居民行為習(xí)慣發(fā)生變化,且部分行為改變與中暑存在一定關(guān)聯(lián)。
[Abstract]:Objective to analyze the relationship between residents' behavior habit and heatstroke during high temperature heat wave, and to provide scientific basis for the intervention of heatstroke susceptible population. Methods from September to November, 2014, stratified cluster random sampling method was used. In the random sampling of 2 counties (cities) of Ningbo City, 2 villages and towns were randomly selected. Each township (town) randomly selected 2 neighborhood committees (villages), a total of 8 neighborhood committees (village), each neighborhood committee (village) selected 120 households to carry out household survey. The survey includes general demographic characteristics during the July-September high temperature heat wave. Logistic regression model was used to analyze the relationship between behavioral habit change and heatstroke. Results the average age of the subjects was 44.51 鹵16.37 years old. There were 1 356 males, 1 409 females, 173 cases of heatstroke, the incidence of heatstroke was 6. 26. The 5 variables of P0. 20 in univariate logistic regression (diet, taste, sleep change and change of transportation), Air conditioning (cooling) was incorporated into the multivariate logistic regression model, and the influence of mixed factors was controlled. It was found that the weight of taste (3.37% CI: 1.547.38) was the risk factor of heatstroke, and the change of travel vehicle OR0.6495% CI0.460.90) was the protective factor of heatstroke. Conclusion during the high temperature heat wave, The behavior habits of most residents were changed, and some behavior changes were related to heatstroke.
【作者單位】: 寧波市疾病預(yù)防控制中心環(huán)境與職業(yè)衛(wèi)生所;
【基金】:寧波市科學(xué)技術(shù)局2012年第五批科技項(xiàng)目(2012B82018)
【分類(lèi)號(hào)】:R594.12
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本文編號(hào):1567237
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