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Investigation Of Related Factors To Breast Feeding In Changzhou City

Posted on:2012-06-26Degree:MasterType:Thesis
Country:ChinaCandidate:B GuFull Text:PDF
GTID:2214330368991500Subject:Public Health
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ObjectiveThe objective of this project is to study the current status of breast feeding in Changzhou city, and to explore the risk factors affecting breast feeding. The result of this project would provide a scientific basis for promoting breastfeeding, improving infant health and improving the health level of general public.MethodsWe used a Cross-sectional study to analyze sample of 6,250 subjects randomly selected from cities, town and villages in Changzhou. 6,250 babies born during January 1st, 2006 to December 31th, 2008 together with their parents were enrolled in the survey. We obtained and analyzed data related to all family member's general information and medical records during mothers'pregnancy. We used Chi-square test to describe the variants, and used Multifactor multinomial logistic regression to evaluate odds ratios (ORs) and 95% confidence interval (95% CI).ResultsAmong 6,250 samples, 10 were deleted because of incomplete information. Valid sample size is 6,240, with 50.64% EBF, 38.62% PBF and 10.74% BF. Among all the cases, 56.35% applied EBF for 4 months and 29.30% for 6 months. The ratios were statistically significant regarding birth place. 6 months'EBF ratio was significant regarding infant gender.Chi-square test shows that birth distinct of infants, mother's age at pregnancy, parents'education, parents'career, annual household income, number of children in family, number of sons in family, number of daughters in family, premature of children, mothers getting sick during pregnancy, infants getting sick, the place of childbirth and pregnancy hypertension are statistically significant (P<0.01-0.001). But the gender of infants, mothers marital status, number of examinations during pregnancy and heart related complications during pregnancy are not statistically significant (P>0.05).The result of univariate multinomial logistic regression is as follows:1. Using EBF as comparing group, the following factors are statistically significant regarding the choice of PBF: birth distinct being town and village, mothers'age between 25 and 34, mothers'education of high school or higher, mother's occupation being manufacturing worker, manager or business owner, fathers'education of high school or higher, father's occupation being manufacturing worker, manager or business owner, annual household income between 8,000 and 12,000 or more than 16,000, premature of infant, the place of childbirth in township hospitals and family with multiple sons (P<0.05).2. Using EBF as comparison group, the following factors are statistically significant regarding the choice of BF: birth distinct being town versus village, mothers age more than 29, mother's education of higher school or higher, mothers occupation being manufacturing worker, manager or business owner, fathers'education being college or higher, father's occupation being manufacturing worker, manger or business owner, annual household income between 8,000 and 12,000 or more than 16,000, premature of infants, the place of childbirth being township hospitals and other hospitals, complications during pregnancy, mothers with pregnancy hypertension, infant sickness, family with multiple children, family with more than one sons and family with more than one daughters (P<0.05).The significant factors were divided into two groups (birth place, parents'education level, parents'occupation, annual household income, number of children in the family et al as a group of sociological factors, and other factors as group of biological factors). Multifactor multinomial logistic regression for the two groups shows the following results:1. The following factors'contribution to higher probability of PBF are statistically significant: birth distinct being town, mothers'education of college or higher, family with multiple children, mothers'age between 25 and 34, premature of infant (OR>1.0, P<0.05); and the following factors contribution to lower probability of PBF are statistically significant: birth distinct being village and the place of childbirth being township hospital (OR<1.0, P<0.05).2. The following factors'contribution to higher probability of BF is statistically significant: mother's education of high school or higher, family with more than one children, mothers'age older than 33, premature of infants, the place of childbirth being other hospital (OR>0.1, P<0.05). The following factors'contribution to lower probability of BF is statistically significant: birth place being town and village, the place of childbirth being township hospital (OR<1.0, P<0.05).Conclusions:1. The percentage of EBF was 50.64% in Changzhou city between 2006 and 2008. The percentage of EBF for 4 months and 6 months were 56.35% and 29.30% respectively. The percentage was statistically significant in different birth place, and the percentage of EBF for 6 months was statistically significant regarding the gender of children.2. Compare to PBF, the risk factors of EBF include the following factors: the birth distinct being town, mothers'education of college or upper, family with more than one children, mothers'age between 25 and 34, premature of infants, etc. The protected factors of EBF include the following: birth distinct being village and the place of childbirth place is township hospital.3. Compare to BF, the risk factors of EBF include the following factors: mothers'education of high school or higher, family with more than one children, mothers'age older than 33 years, premature of infants, the place of childbirth being other hospital, etc. The protected factors of EBF include the following factors: birth place being town or village, the place of childbirth being township hospital.4. The results of this study implicates that: (1) Administration should protect the working condition and compensation of breast feeding mother, encourage employers to support breast feeding; (2) Administration should improve pregnancy health care, reduce pregnancy complications of mother and premature infants; (3) Administration should promote the benefits of breast feeding to encourage more mothers decide to breast feed.
Keywords/Search Tags:feeding status, related factor, multifactor multinomial logistic regression
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