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河北省六县农村居民贫血状况及相关因素分析
引用本文:Wang YJ,Li JG,Xu WL,Wang XB,Liu YL,Jiang H. 河北省六县农村居民贫血状况及相关因素分析[J]. 中华预防医学杂志, 2008, 42(5): 339-341
作者姓名:Wang YJ  Li JG  Xu WL  Wang XB  Liu YL  Jiang H
作者单位:河北省疾病预防控制中心公共卫生监测与评价所,石家庄市,030012
摘    要:目的 调查分析农村地区贫血现状和相关影响因素,为预防控制贫血、选择对贫血干预措施提供科学依据.方法 分层随机抽取3367户农村家庭,对11 627名采用问卷调查经济收入、职业、文化程度、年龄等状况;同时采血检测血红蛋白、血清铁蛋白;对所获资料应用SPSS 11.5软件包进行统计学分析.结果 河北省农村贫血率8.4%,其中男性5.5%、女性11.0%;重点贫血人群是婴幼儿(2岁以下27.2%),育龄期妇女(11.0%~16.0%).logistic回归分析揭示机体血清铁蛋白水平和性别是贫血发生的重要因素.结论 补铁是预防控制贫血,降低贫血患病率的重要措施,贫血高发人群是婴幼儿和育龄期妇女.

关 键 词:贫血  农村居民  危害因素分析  logistic回归

Anemia status and correlation factors in rural regions of Hebei province
Wang Yue-jin,Li Jian-guo,Xu Wei-ling,Wang Xiao-bo,Liu Yan-li,Jiang Hong. Anemia status and correlation factors in rural regions of Hebei province[J]. Chinese Journal of Preventive Medicine, 2008, 42(5): 339-341
Authors:Wang Yue-jin  Li Jian-guo  Xu Wei-ling  Wang Xiao-bo  Liu Yan-li  Jiang Hong
Affiliation:Center for Disease Prevention and Control of Hebei Province, Shijiazhuang, China.
Abstract:OBJECTIVE: To investigate anemia status and correlation infection factors in rural regions of Hebei province and to find out evidence for preventing and controlling anemia. METHODS: A random-sampling survey was conducted among 3367 houses in Hebei rural areas. The investigation involved economic levels, ages, education levels and occupations of 11,627 questionnaire. The hemoprotein and serum iron were measured. Unconditional logistic regression was performed. RESULTS: The anemia prevalence rate was shown up to 8.4% in rural regions of Hebei province, and in men and women was 5.5% and 11.0%, respectively;mainly in infant (< 2 years old, 27.2%) child bearing age women, the anemia prevalence rate was 11.0%-16.0%. The analysis showed that the main risk factors of anemia were sex and serum iron. CONCLUSION: The anemia prevalence is highest in infant and child bearing age women;supplying of iron should be an important measure for preventing and controlling anemia.
Keywords:Anemia  Rural population  Risk factor  Logistic regression
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