中华地方病学杂志
中華地方病學雜誌
중화지방병학잡지
Chinese Journal of Endemiology
2015年
10期
746-749
,共4页
余大为%格鹏飞%冯宇%李凡%侯言东%王东
餘大為%格鵬飛%馮宇%李凡%侯言東%王東
여대위%격붕비%풍우%리범%후언동%왕동
包虫病%影响因素%线性回归
包蟲病%影響因素%線性迴歸
포충병%영향인소%선성회귀
Echinococciasis%Influencing factors%Linear regression
目的 探讨甘肃省棘球蚴病(又称包虫病)患病的影响因素.方法 采取分层随机抽样方法,在甘肃省的72个县(市、区),将所有行政村按牧区、半农牧区、农区和城镇进行分层,按各层人口数占全县(市、区)人口总数的比例计算并确定分层调查人数,再根据各层调查人数确定各层调查村数和村名,每县共抽取16个行政村,每个行政村调查常住人口200人以上(人数不足时从邻近村补足),全县至少调查3 200人.对查出的病例依据《包虫病诊断标准》(WS 257-2006)进行诊断.采用询问和现场观察结合的方法,对自然因素、饮用水源、农牧业生产等因素进行问卷调查.数据采用SPSS19.0统计软件分析,利用一元线性和多元线性回归的方法分析影响因素与患病率的关系.结果 一元线性回归分析显示:经度、纬度、海拔、年均气温、年降雨量、次要产业、牧区乡数、饮水来源、流行乡镇数、流行村、牧区人均年纯收入、牲畜总数、养羊数量是包虫病患病率的影响因素(F=4.705,P均＜0.05).其中,纬度、海拔、牧区乡数、流行乡镇数、流行村、牧区人均年纯收入、牲畜总数、养羊数与包虫病患病率呈正相关(r=0.282、0.285、0.387、0.508、0.540、0.317、0.475、0.594,P均＜0.05);经度、年均气温、年降雨量、次要产业、饮用水源与包虫病患病率呈负相关(r=-0.311、-0.244、-0.244、-0.389、-0.311,P均＜0.05).多元线性回归分析显示:年降雨量、饮用水源、流行村、牧民人均年纯收入、次要产业、牲畜总数的交互作用具有统计学意义(t=-1.822、-3.920、3.013、1.715、-1.609、3.264,P均＜0.05).结论 年降雨量、饮用水源、流行村、牧民人均年纯收入、次要产业、牲畜总数是甘肃省包虫病患病的影响因素.
目的 探討甘肅省棘毬蚴病(又稱包蟲病)患病的影響因素.方法 採取分層隨機抽樣方法,在甘肅省的72箇縣(市、區),將所有行政村按牧區、半農牧區、農區和城鎮進行分層,按各層人口數佔全縣(市、區)人口總數的比例計算併確定分層調查人數,再根據各層調查人數確定各層調查村數和村名,每縣共抽取16箇行政村,每箇行政村調查常住人口200人以上(人數不足時從鄰近村補足),全縣至少調查3 200人.對查齣的病例依據《包蟲病診斷標準》(WS 257-2006)進行診斷.採用詢問和現場觀察結閤的方法,對自然因素、飲用水源、農牧業生產等因素進行問捲調查.數據採用SPSS19.0統計軟件分析,利用一元線性和多元線性迴歸的方法分析影響因素與患病率的關繫.結果 一元線性迴歸分析顯示:經度、緯度、海拔、年均氣溫、年降雨量、次要產業、牧區鄉數、飲水來源、流行鄉鎮數、流行村、牧區人均年純收入、牲畜總數、養羊數量是包蟲病患病率的影響因素(F=4.705,P均＜0.05).其中,緯度、海拔、牧區鄉數、流行鄉鎮數、流行村、牧區人均年純收入、牲畜總數、養羊數與包蟲病患病率呈正相關(r=0.282、0.285、0.387、0.508、0.540、0.317、0.475、0.594,P均＜0.05);經度、年均氣溫、年降雨量、次要產業、飲用水源與包蟲病患病率呈負相關(r=-0.311、-0.244、-0.244、-0.389、-0.311,P均＜0.05).多元線性迴歸分析顯示:年降雨量、飲用水源、流行村、牧民人均年純收入、次要產業、牲畜總數的交互作用具有統計學意義(t=-1.822、-3.920、3.013、1.715、-1.609、3.264,P均＜0.05).結論 年降雨量、飲用水源、流行村、牧民人均年純收入、次要產業、牲畜總數是甘肅省包蟲病患病的影響因素.
목적 탐토감숙성극구유병(우칭포충병)환병적영향인소.방법 채취분층수궤추양방법,재감숙성적72개현(시、구),장소유행정촌안목구、반농목구、농구화성진진행분층,안각층인구수점전현(시、구)인구총수적비례계산병학정분층조사인수,재근거각층조사인수학정각층조사촌수화촌명,매현공추취16개행정촌,매개행정촌조사상주인구200인이상(인수불족시종린근촌보족),전현지소조사3 200인.대사출적병례의거《포충병진단표준》(WS 257-2006)진행진단.채용순문화현장관찰결합적방법,대자연인소、음용수원、농목업생산등인소진행문권조사.수거채용SPSS19.0통계연건분석,이용일원선성화다원선성회귀적방법분석영향인소여환병솔적관계.결과 일원선성회귀분석현시:경도、위도、해발、년균기온、년강우량、차요산업、목구향수、음수래원、류행향진수、류행촌、목구인균년순수입、생축총수、양양수량시포충병환병솔적영향인소(F=4.705,P균＜0.05).기중,위도、해발、목구향수、류행향진수、류행촌、목구인균년순수입、생축총수、양양수여포충병환병솔정정상관(r=0.282、0.285、0.387、0.508、0.540、0.317、0.475、0.594,P균＜0.05);경도、년균기온、년강우량、차요산업、음용수원여포충병환병솔정부상관(r=-0.311、-0.244、-0.244、-0.389、-0.311,P균＜0.05).다원선성회귀분석현시:년강우량、음용수원、류행촌、목민인균년순수입、차요산업、생축총수적교호작용구유통계학의의(t=-1.822、-3.920、3.013、1.715、-1.609、3.264,P균＜0.05).결론 년강우량、음용수원、류행촌、목민인균년순수입、차요산업、생축총수시감숙성포충병환병적영향인소.
Objective To investigate the factors influencing the prevalence of echinococciasis in Gansu Province.Methods With the method of stratified random sampling,all the administrative villages in pastoral areas,half pastoral areas,agriculture and urban areas in the 72 counties in Gansu Province were selected;according to the layers of the population of the county population proportion calculated,the layer investigation numbers were determined,and a total of 16 administrative villages were selected in each county.In the 16 administrative villages,more than 200 people of permanent residents were surveyed in each village (shortage was made up from a nearby village),at least 3 200 people were investigated in a county.By using the combined method of inquiry and field observation,natural factors,such as drinking water,farming and animal husbandry production data were surveyed.All data were analyzed using SPSS 19.0 statistical software.Unauy linear and multiple linear regression analysis of influencing factors and the relationship between the prevalence were analyzed.Results Unary linear regression analysis showed that longitudes,latitudes,altitudes,average annual temperature,annual rainfalls,secondary industries,animal husbandry towns,drinking water sources,the number of epidemic towns,epidemic villages,per capita net incomes in animal husbandry regions,the total number of livestock and the number of sheep were factors influencing the prevalence of echinococciasis (F =4.705,P ＜0.05).Latitude,altitude,animal husbandry towns,the number of epidemic towns,epidemic villages,per capita net incomes in animal husbandry regions,the total number of livestock and the number of sheep and the prevalence of echinococciasis was positively correlated (r =0.282,0.285,0.387,0.508,0.540,0.317,0.475,0.594,all P ＜0.05);longitude,average annual temperature,annual rainfall,secondary industries,drinking water sources and the prevalence of echinococciasis was negatively correlated (r =-0.311,-0.244,-0.244,-0.389,-0.311,all P ＜0.05).Multiple linear regression analysis showed that differences of interactions of annual rainfalls,drinking water sources,epidemic villages,per capita net incomes of herdsmen,secondary industries and the total number of livestock between groups were statistically significant (t =-1.822,-3.920,3.013,1.715,-1.609,3.264,all P ＜0.05).Conclusion The factors influencing the prevalence of echinococciasis in Gansu Province are correlated with annual rainfalls,drinking water sources,epidemic villages,per capita net incomes of herdsmen,secondary industries and the total number of livestock.
