STATISTICAL DETERMINATION OF SOCIOECONOMIC AND DEMOGRAPHIC FACTORS THAT INFLUENCE CONTRACEPTIVE USE BY MEN IN AFIKPO NORTH LOCAL GOVERNMENT AREA OF EBONYI STATE

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ABSTRACT

This work titled ‘Statistical Determination of Socio-economic and Demographic Factors that Influence Contraceptive use by Men in Afikpo North Local Government Area of Ebonyi State’ aimed at identifying the determinants of contraceptive use among married men in Afikpo North Local Government Area of Ebonyi State. Multi-stage sampling design was employed in the selection of a sample of four hundred and sixty one (461) married men for the study. Descriptive analysis was employed to compute percentages of the variables. Cross tabulation was employed to examine the relationships of the independent variables and contraceptive use at 0.05 significance level.  Logistic regression was used to estimate the relative influence of socioeconomic and demographic factors on contraceptive use at 0.05 significance level. Cross tabulation result revealed that there is a significant relationship between the independent variables and contraceptive use. Logistic regression result showed that the significant socio-economic and demographic determinants of contraceptives use among the study sample are marriage duration of at least five years, religion, education, occupation, parity, number of living children, and age. The Hosmer Lemeshow test for goodness of fit of the logistic regression model is 87.9 percent and is highly significant (p-value > 0.05). This indicates that the model fitted is adequate.





TABLE OF CONTENTS

Title Page                                                                                                                    i

Declaration                                                                                                                  ii

Certification                                                                                                                iii

Dedication                                                                                                                  iv

Acknowledgement                                                                                                      v

Table of contents                                                                                                        vi

List of Tables                                                                                                              ix

Abstract                                                                                                                      xi

CHAPTER 1:  INTRODUCTION                                                                         1        

1.1       Background of the Study                                                                               1

1.2       Statement of Problem                                                                                     4

1.3       Objectives of the Study                                                                                  5

1.4       Significance of the Study                                                                               5

1.5       Research Hypothesis                                                                                       5

1.6      Justification of the Study                                                                                6

1.7      Limitation of the Study                                                                                   6

 

CHAPTER 2:  REVIEW OF RELATED LITERATURE                                  7

2.1 Population Growth and Consequent Food Shortage as a Result of Low

      Contraceptive usage                                                                                              7                            

2.2 Socio-economic Factors Influencing Contraceptive use                                       12                                                                                           

2.2.1    Education                                                                                                        12

2.2.2 Religion                                                                                                              14

2.2.3 Occupation                                                                                                         15

2.2.4 Knowledge of contraceptive methods                                                                           16

2.2.5    Marriage duration                                                                                           17

2.1.6    Type of marriage                                                                                             18

2.3    Demographic factors influencing contraceptive use                                          18

2.3.1    Number of living children                                                                               18

2.3.2 Number of children ever born (Parity)                                                               19

2.3.3 Age of the men                                                                                                  20

2.4    Conceptual Framework                                                                                      20 

CHAPTER 3: METHODOLOGY                                                                          22

3.1    Source of Data                                                                                                   22

3.2    Sampling Design and Sample size                                                                     22

3.3       Methods of Analysis                                                                                       25       

3.3.1    Cross tabulation                                                                                              26

3.3.2    Multicollinearity test                                                                                       27

3.3.2.1 How to calculate the variance inflation factor                                                27

3.3.3 Logistic regression                                                                                             29

3.3.3.1. Estimation of logistic regression model coefficients                                    30

3.3.3.2 Interpretation of logistic regression result                                                      33

3.3.3.2 Assumptions of logistic regression                                                                 38                                                                                

CHAPTER 4: RESULTS AND DISCUSSION                                                    39

4.1       Results                                                                                                            39

4.2       Descriptive Analysis                                                                                       39

4.2       Test for Multicollinearity                                                                                44

4.3 Multivariate Results                                                                                              45

CHAPTER 5: CONCLUSION AND RECOMMENDATION                           58

5.1       Conclusion                                                                                                     58

5.2       Recommendation                                                                                            58

References                                                                                                      59

Appendices                                                                                                     65

 

 

 

 

 

 

 

 

 

LIST OF TABLES

                                                                                                                 

3.1  Selected autonomous communities and the number of villages they have     24

3.2  Selected villages and the number of households                                             25

4.1 Percentage distribution of the respondents who knew about

      Contraception by source of information                                                          40

4.2 Percentage distribution of the respondents by method of contraceptive

      currently being used                                                                                        41

4.3 Percentage distribution of current users of contraception by reason

       of choice of method                                                                                        41

4.4  Percentage distribution of non-users of by reason for not using any

       method of  contraception                                                                                41

4.5a Distribution of the respondents by current use of family planning

      methods by selected socio-economic factors                                                  43

4.5b Distribution of the respondents by current use of family planning

      methods by selected socio-economic factors                                                 44

4.6 Test for the presence of multicollinearity among the explanatory

      variables                                                                                                         45

4.7 Result of logistic regression model on socio-economic predictors of

    contraceptive use among married in Afikpo North L.G.A, Ebonyi State       46

4.7.1 Model fitting criteria of socio-economic predictors of contraceptive use  48

4.7.2 Pseudo R-square for socio-economic predictors of contraceptive use       48

4.8 Result of logistic regression model on demographic predictors of

      contraceptive use among married in Afikpo North L.G.A, Ebonyi State     50

4.8.1 Model fitting criteria for contraceptive use on  demographic factors        51

4.8.2 Pseudo R-square for contraceptive use on demographic factors               52

4.9 Result of logistic regression model predicting the probability of

       contraceptive use on married men in Afikpo North L.G.A, Ebonyi State   55

4.9.1 Model fitting criteria of the socio-economic factors, demographic

         factors and contraceptive use                                                                      56

4.9.2 Pseudo R-square for socio-economic factors and demographic

         factors and contraceptive use                                                                      57

                                                                                

                        

 

 

 

 

 

CHAPTER 1

INTRODUCTION


1.1 BACKGROUND OF THE STUDY

The persistently high level of fertility in Nigeria, combined with declining mortality, has given rise to rapid growth in population. The population growth rate has increased from 2.0% to 2.7% per annum during the respective periods 1987-1998 and 1998-2008. High population growth has contributed to environmental degradation, increase poverty and a deteriorating quality of life for majority of people in the country (Ejembi and Dahiru, 2013).

According to the United Nations Departments of Economic and Social Affairs Population Division, the world population was 7.5 billion (as at March 6, 2017) and it is projected to reach 8 billion by 2024 (United Nations Department of Economic and Social Affairs Population Division, 2015). This would increase pressure on the already limited resources and aggravate various social vices.

Socio – economic and demographic factors are key variables to consider in any discussion of fertility regulation and in the evaluation of family planning program. While some factors have contributed to an increase in contraceptive use and subsequently to a decline in fertility in some parts of Africa, it has had no impact on the levels of fertility and contraceptive use in some other parts (Locoh, 2000).

The issue of family planning is an outcome of the societal definition of male and female roles. Culturally, African men oppose family planning programmes and in many African countries men usually make decisions in matters of sex and family size. Within the frame work of family planning, one of the current issues of concern is the clamour for the involvement of men in all programme directed towards family reproductive health as opposed to the previous singular emphasis on women (Ijadunola et al., 2014).

The rationale to consider men in family planning necessitates the need to study male perspectives towards many concepts such as fertility, contraception and reproductive health in general.

Though, some men may be unwilling to practice birth control themselves, recent survey shows that men are more conscious users than women when they do accept family planning (Stoke, 2000). Men are also more likely than women to persuade their friends to accept family planning, and when male family planning acceptors select female methods, they are, more often able compared to women to get their partners to use them successful (Brown, 2000). As efforts to bring family planning to women are almost exhausted, now is the time to increase effort to include men in the family planning campaigns.

Decision making is an active process, which becomes inevitable at varying time and place in human life. Paying attention to the decision making of men becomes very logical following the facts that male decisions in the family enjoy a lot of primacy. This is a fact, which holds in virtually all societies whether developing or developed (Osheba, 2012). Men in traditional African societies play important roles in most decisions especially as regards family life. A number of cultural and institutional factors favor men in this regard. In fact, the husband is viewed as the major decision maker, while his wife is expected to abide by his decision. Moreover, there is evidence that many African men and women believe that husbands should be the primary decision makers, regarding contraceptive use and marital sexual activity (Rashid, 2008).

The initiative to bring men into family planning focus is of long standing, even before the recent international conferences, which accounted for its prominence over the world (Shoral and Palmore 2009).

As early as the 1970`s, the International Planned Parenthood Federation (IPPF) felt further improvements in the acceptance of family planning were to a larger extent dependent on attitude, behavior and some socio – economic factors of men. It had become apparent that male opposition to family planning had to be dealt with, that there was the need to promote contraceptive use among males, especially married men.

Research findings have shown that most men know about contraception but not many men knew it uses (Shoral and Palmore, 2009). Among those who knew it uses, what are some of the socio – economic factors that contribute to their use of contraceptive? Is it their level of education, religious affiliation, family size, sex of children etc?


1.2       STATEMENT OF PROBLEM

 The Nigeria Demographic and Health Survey (NDHS, 2013) puts the maternal mortality rate at 576 deaths per 100,000 live births. Statistics available have shown that only 12.5% of Nigerian males use any form of modern family planning methods (Beckman, 2013)

In the year 2014, the prevalence rate of contraceptive use among married men in Nigeria was approximately 9 per cent (Ademola et al., 2014). This rate is very low in spite of the high level of sexual activity and wide spread awareness of the various contraceptive methods among many Nigerian married men. This accounts to the high unintended pregnancies and to the prevailing high maternal mortality rate (Ijadunola et al., 2014).

Every year, globally 40 to 60 million women seek termination of unwanted pregnancy under safe conditions (Rashid, 2008). The consequences of unintended pregnancy are serious, imposing appreciable burden on children, women, men, families and their societies. Both unwanted and mis – timed pregnancies are known to be associated with lack of adequate knowledge and use of contraceptives, among men (Ezeh, 2006a).

This study intends to identify the major socio – economic and demographic determinants of contraceptive use among married men in Afikpo North Local Government Area in Ebonyi State.


1.3         OBJECTIVES OF THE STUDY

The general objective of this study is to investigate the influence of socio – economic and demographic factors on the use of contraceptives among married men in Afikpo North Local Government Area of Ebonyi State.

The specific objectives are as follows:

i.                        To examine the relationship between socio- economic factors and

contraceptive use among married men in Afikpo North Local Government Area of Ebonyi State.

ii.                        To examine the influence of demographic factors on contraceptive use

among married men in Afikpo North Local Government Area of Ebonyi State .

iii.                        To identify the determinants of contraceptive use among married men in

            Afikpo North Local Government Area of Ebonyi State.

 

1.4       SIGNIFICANCE OF THE STUDY

Identification of the important socio – economic and demographic factors that influence the use of contraceptives among married men in Afikpo North L.G.A would be useful in developing effective family planning programme for the study population.


1.5     RESEARCH HYPOTHESIS

The following hypotheses were tested in the course of this study.

1.                  Socio-economic factors (Marriage duration, religion, type of marriage, education    

            level, and occupation) significantly influence contraceptive use in the study     

            population.  

2.                   Demographic factors (Number of children ever-born, number of living

children and age) significantly influence contraceptive use in the study population.


1.6       JUSTIFICATION OF THE STUDY

 Knowledge of contraceptive methods does not translate to adoption of contraception. Understanding the factors responsible for the low use of contraceptives among married men in Afikpo North L.G.A will be useful in developing effective family planning programme for married men in the study area.


1.7       LIMITATION OF THE STUDY

 This study includes only married men. This may bias downward contraceptive prevalence rate among men, because men who have never married or were formally married were excluded.     

 

 

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