| Objective:To identify the rural outskirts of Kashgar Uighur Nutritional status of pregnant women and pregnant women folic acid deficiency and anemia, Uighur city of Kashgar to develop in line with the actual situation of rural women and the measures and intervention strategies to promote women in Xinjiang Uygur reference to the development of prenatal and postnatal care. Methods:Select Kashi subsidiary of rural pregnant women in rural subjects. Select a relatively dense population and more Ti Bage village, township and Kokand town of Bagh as Xia Ma force survey points, in January 2010~2010 in 11 months, the survey points on the cards and do regular check-in 891 pregnant women to obtain informed consent questionnaire survey was conducted at the same time meet the requirements of the follow-trimester pregnant women, the follow-up survey of pregnant women 231 cases.1) Face to face questionnaire survey conducted on the study of basic survey, the 24-hour dietary recall method for dietary nutrition survey;2) Physical examination and determination of hemoglobin and serum folate.3) Application of questionnaires and statistical analysis of laboratory data using SPSS17.0 statistical package, the constituent ratio, the statistical description of the mean, t test, test and multivariate non-conditional Logistic regression analysis.Results:1) 891 cases of the basic situation of pregnant women in rural Uygur and nutrient intake:Age range 22 to 30 years, mean age 26.17±4.96 years; Education to junior high school education the largest proportion of 58.81%; Occupational distribution of 89.00% were farmers; Household per capita income of 1000~2000 yuan accounted for 60.38%; Nutrient intake:Sodium, vitaminA, vitaminE and vitamin B6 intake in excess of the DRIs (respectively,145.00%, 136.00%,175.09% and 115.79%), While only the energy (86%) of the intake of more than 80% RNIs, nutrient intake are less than 80% of DRIs have protein (77.30%), calcium (30.70%), iron (77.10%), zinc (64.70%), selenium (65.20%), iodine (29.52%), vitamin D (41.80%), vitamin B1 (66.67%), vitamin B2 (60.59%), vitamin B12 (46.54%) and folic acid (21.83%); Including calcium, iodine, folic acid intake less than the largest proportion, were lower than DRIs50%. Animal food sources of protein and only 26.20%,30% lower than the national average. Only 13.75% of pregnant women from the iron animal iron.2) Maternal pre-pregnancy BMI and underweight, normal and overweight:the average height of 157cm, the average weight of 57.51kg, the average weight gain during pregnancy is 13.42kg. Underweight, normal, and the proportion of overweight was 17.88%, respectively,77.31%,4.81%.3) Biochemical indicators of nutrition:231 37.52% prevalence rate of anemia in pregnant women, hemoglobin average (110.37±1.47)g/L. Hemoglobin value of early and late in the comparison (P<0.01) and compared the prevalence of anemia (P<0.01) differences were statistically significant.231 pregnant women, only 17.75% normal serum folate, serum folate levels in pregnant women the mean (7.94±3.29)nmol/L. Early and late serum folate values in the comparison (P<0.01) and the rate of folate deficiency compared (P<0.01) differences were statistically significant.4) Factors:Anemia of factors:meat (OR=0.738), copper (OR=0.569) maternal age (OR=1.008) and iron (OR=1.138), B12 (OR= 1.996), folate (OR=3.343); The impact of folic acid deficiency of factors:economic level (0R=1.036) and education (OR=1.663) and intake of vegetables (OR=0.962) and fruit (OR=0.983).Conclusion:1)Age, education level, occupation and income may be factors that affect the health of pregnant women.2) survey the proportion of the three heat unreasonable nutrient intake, mineral and vitamin intake is generally insufficient, especially protein, calcium and folic acid intake of seriously inadequate.3) anemia in pregnant women, a higher proportion of folic acid deficiency.4) age, intake of iron, copper, vitamin B12, folic acid and the amount of meat is the prevalence of anemia among pregnant women, factors affecting the rate of maternal folic acid deficiency factors for the economic level, education level, intake of fruits and vegetables. |