| Autor: |
Goel, Narendra, Goel, Seema, Ahmed, Parveen, Khan, Zulfia |
| Předmět: |
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| Zdroj: |
Indian Journal of Public Health Research & Development; Apr-Jun2017, Vol. 8 Issue 2, p245-251, 7p |
| Abstrakt: |
Background: Despite all these advantages and measures being taken, in the last century and more so in the last fifty years there has been a marked decline in the levels of breast-feeding. The decline in breast-feeding is certainly linked to the far-reaching changes that have taken place in educational, socio-cultural and demographic environment of the mother infant unit. Working mothers, increase in per capita income, exposure to alternative feeding methods, rural to urban movement of the population etc. are some of the factors that could be influencing the breast-feeding trends. Aims: We need more research to determine risk factors for non-exclusive breast-feeding especially from the urban areas, where the breast-feeding rates are worst affected. There has been no reported breast-feeding rate from our place and also since we do not have any data regarding breast-feeding rates from urban home deliveries, the current study has been planned. 1. To assess the factors influencing the breast-feeding practices. 2. To identify the risk predictive factors for non-exclusive breast-feeding. Materials and Method: infants between ages 0-12 months would be enrolled in this study .Data collected from each infant and mother pair will be recorded in a separate pretested Performa. Breast feeding indicators used in this study would be as per WHO 1991 recommendations. Sample size of 907 was entertained. Univariate as well as multivariate would be done to identify risk predictive actors for non-exclusive breast-feeding. The data would be analyzed with the help of SPSS version 7.5 and EpiInfo-60. On univariate analysis the chi-square statistics and student t-test will be used for categorical and continuous data respectively. Both Univariate and logistic regression analysis would be done for Exclusive versus non-exclusive breast-feeding. Further analysis would be done to identify factors influencing introduction of top milk. This would be done by comparing the partially breast-fed with exclusively top-fed babies Results: In total there are about 15 factors, which seem to be significantly associated with non-exclusive breastfeeding. But some of these factors might be confounding for others. Hence univariate analysis is not strong enough to identify true risk factors for non-exclusive breast-feeding. Therefore logistic regression analysis was done for all factors, which were significantly associated with non-exclusive breast-feeding on univariate analysis. The factors found significantly associated with non-exclusive breast-feeding on univariate analysis were: When logistic regression analysis was done we found only 7 of these factors showing significant association (Table-7). The valid cases used for this analysis model ware 531 and predictive value of this model of risk factors for nonexclusive breast-feeding was 73.26%. Conclusions: To remove confounding logistic regression analysis was applied and following were independent risk factors for non-exclusive breast-feeding. 1. Family income less than Rs. 5000 p.m., 2. Nuclear family 3. Vaginal delivery 4. Prelacteal feeds 5. Absent past experience of EBF 6. Below average approx. birth size [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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