Statistical Analysis Of The Relationship Between Mothers’ Age, Infant Birth Weight And Infant Birth Length From January – December (2011) (A Case Study Of Abia State University Teaching Hospital, Aba)

Project and Seminar Material for Mathematics and Statistics

Project and Seminar Material for Mathematics and Statistics


Abstract


When a baby is born, a good indication of health is her weight. The data used to carry out the analysis on the relationship between mothers’ age, infant birth weight and infant birth length was obtained from the medical records department, Abia State University Teaching Hospital, Aba.

A linear multiple regression models was used on the data analysis and interpretation for the model to check the relevance of the predictor variables on infant birth weight after which they were estimated.

Adjustments in the predictor variables were also carried out using the step wise method to determine which of the predictor variables are most significant to infant birth weight. It was discovered after the estimation that, of the two variables estimated, infant birth length is the most important variable that affect infant birth weight.


Table Of Contents


Preliminary Page(s)

  • Title page
  • Approval page
  • Dedication
  • Acknowledgement
  • Abstract
  • Table of contents

Chapter One

1.0 Introduction

  • 1.1 Statement of the Problem
  • 1.2 Scope of the Study
  • 1.3 Objectives of the Study
  • 1.4 Significance of the Study
  • 1.5 Research Questions
  • 1.6 Limitations of the Study

Chapter Two

2.0 Literature Review


Chapter Three

3.0 Methodology

  • 3.1 Method of Data Collection
  • 3.2 Method of Data Analysis
  • 3.3 Data Presentation

Chapter Four

4.0 Data Analysis

  • 4.1 Adequacy of the Fitted Model
  • 4.2 Test of Significance
  • 4.3 Analysis and Interpretation of the Adjusted Regression Model
  • 4.4 Interpretation of Results

Chapter Five

5.0 Summary, Conclusion and Recommendation

  • 5.1 Summary
  • 5.2 Conclusion
  • 5.3 Recommendations
  • Appendix
  • Bibliography

Chapter One


1.0 Introduction

Birth weight is the weight of a baby at its birth and this is a good indicator of health when a baby is born. A baby’s weight can either be low or high. A low birth weight can be caused by the following factors: young ages, drug addiction, alcohol abuse, poor nutrition, heart disease or hypertension, insufficient prenatal care, preterm birth and slow prenatal growth rate.

According to Walton (2000), preterm birth in humans’ birth refers to the birth of a baby of less than 37 weeks gestational age. The cause for preterm birth is in many situations elusive and unknown; many factors appear to be associated with the development of preterm birth making the reduction of preterm birth a challenging proposition.

Matsui et al (2003), observed that there is no universally accepted definition of a large baby. The entity may be defined nominally by such terms as “Macrosomic”, “large for gestational age” or “oversized”. Identifying a baby as “large for gestational age” (LGA), usually defined as weighing more than the 90th percentile for gestational age and gender eliminates confounding by duration of pregnancy, but does not consider the influence of other variables such as geography and ethnicity. Babies who weigh less than 1.4kg are regarded as having a very low birth weight while babies weighing 3.6kg or more are known as having high birth weight.


1.1 Statement Of Problem

The worrisome observation that some women have greater chance of having a low birth weight baby, easier delivery, and lesser complications during pregnancy, than others necessitated the researcher to carry out a study on this topic to enable the society know whether mothers’ age have any effect on the weight of the baby and also on the pregnancy.


1.2 Scope Of The Study

The study will be conducted in Abia State, it will take into consideration the ages of mothers, birth weight and birth length of their infants recorded monthly for a period of twelve (12) months i.e. from January – December 2011 in Abia State University Teaching Hospital, Aba.


1.3 Objectives Of The Study

The study is concerned with the following :

  1. To what extent the predictor variables influence infant birth weight.
  2. To determine whether adjustments in the predictor variables would yield better result on infant birth weight
  3. To fit an adequate regression model that shows the impact of mothers’ age and infant birth length on infant birth weight.
  4. Finally, to give necessary recommendations from the findings of this research work to medical practitioners, women and the society at large.

1.4 Significance Of The Study

The research work attempt to evaluate the effect of mothers’ age on infants’ birth weight, as well as finding proper solution to control these effects.

To the government, medical practitioners and healthcare planners, this will help them in planning and also training more health planners in order to pre-empt many pregnancy problems. It will also help women in knowing the right age to have children and also to know things to do when they are pregnant.

Moreover, the future leaders and researchers will equally derive much from some of the suggestions and findings made herein and continue from where the researcher stopped.


1.5 Research Questions

  1. Is there any relationship between infant birth weight, mothers’ age, and infant birth length?
  2. Does infant birth weight depend on mothers’ age and infant birth length?
  3. Is there any significant difference between mothers’ age, infant birth weight and length?

Chapter Five


5.0 Summary, Conclusion And Recommendations

5.1 Summary

This project work on the analysis of the relationship between mothers’ age, infant birth weight and length has achieved most of the objectives it has set out to do at the beginning of this research work.

The first objective which was to determine to what extent the predictor variable influences infant birth weight was achieved by the test of significance of the variables using the hypothesis testing. However, we observed from the analysis that mothers’ age does not really have a reasonable impact on infant birth weight while infant birth length has the major impact on infant birth weight.

The second objectives was to determine whether adjustments in the predictor variables would yield better result on infant birth weight was also accomplished by the use of stepwise approach in table 4.4 where the adjusted model showed a better fit of the model variables having the coefficient of multiple determination R2 as 0.963 representing 96.3% variation in infant birth weight being explained by the adjusted predictor variable (infant birth length).

The last objective which was to fit an adequate regression model that shows the impact of mothers’ age and infant birth length on infant birth weight was also achieved through the multiple regression models on the analysis and interpretation. The multiple regression models show the effects of the individual predictor variables.


5.2 Conclusion

The analysis carried out showed that a linear model is appropriate in establishing the effect of the prediction variables on the dependent variable.

The model Yi = -0.65 + 0.004×1 + 0.063×2.

Based on the findings, the following conclusions are made:

  1. The regression model (test) using the F-test showed that mothers’ age and infant birth length have effect on infant birth weight.
  2. The predictor variable (infant birth length) has a major impact on infant birth weight.
  3. Infant birth length has a positive relationship with infant birth weight. This implies that the principal determinant of infant birth weight is infant birth length.

5.3 Recommendations

In view of the findings, it is recommended that:

  1. The government should train more healthcare planners, allocate sufficient fund to the health sector and also create an avenue through which women would be given orientation on the best age to have children and things to do when pregnant in order to have normal weight and healthy babies.
  2. Women that smoke and take much of alcohol should abstain from it since it affects their babies and also they should know the diet they place on their babies.

Statistical Analysis Of The Relationship Between Mothers’ Age, Infant Birth Weight And Infant Birth Length From January – December (2011) (A Case Study Of Abia State University Teaching Hospital, Aba)


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