A study of factors affecting the occurrence of down syndrome in Negeri Sembilan Malaysia
Due to the fact of the high correlation between advanced maternal age and the risk of Down syndrome, genetic and socio- demographic factors of population are expected to have considerable effect on Down syndrome births. The main objective of this research was to assess the effect of genetic an...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English English English |
| منشور في: |
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.uthm.edu.my/1148/1/24p%20OPARA%20OTUODI%20CHIGOZIE.pdf http://eprints.uthm.edu.my/1148/2/OPARA%20OTUODI%20CHIGOZIE%20COPYRIGHT%20DECLRATION.pdf http://eprints.uthm.edu.my/1148/3/OPARA%20OTUODI%20CHIGOZIE%20WATERMARK.pdf |
| الوسوم: |
إضافة وسم
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| الملخص: | Due to the fact of the high correlation between advanced maternal age and the risk of
Down syndrome, genetic and socio- demographic factors of population are expected
to have considerable effect on Down syndrome births. The main objective of this
research was to assess the effect of genetic and socio-demographic factors within
Malaysia in number and incidences of DS. Three hypothesis were tested using 104 DS
data and 204 NDS data in Negeri Sembilan, obtained through questionnaire. The
hypothesis tested included whether there is a relationship between DS cases and
advanced maternal age in Malaysian population, whether there is relationship between
genetic factors and DS cases in Malaysian population and lastly whether there is a
relationship between DS cases and certain socio-demographic factors in the Malaysian
population. Regression analysis having become a standard statistical tool for analysis,
probit model, linear probability model and multiple logistic model were used for
analysing DS data against genetic and socio-demographic variables while simple logit
and probit models were used to analyze DS data against maternal age. For each
analysis, these models were compared using Akaike information criteria to determine
the model with the best fit for prediction. The results show a significant relationship
between maternal age and DS cases. It was also found that DS is not genetic and cannot
be transferred from parent to offspring. Race, place of residence and mothers’
education level were found to have significant influence on occurrence of DS in
Malaysia. Paternal age, Smoking habit, pre-natal scan, and heredity were found to be
insignificant factors in the occurrence of DS in Malaysia |
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