Early Marriage and its Association with the Socioeconomic and Sociocultural Factors of Women in Sudan: A Predictive Model
RESEARCH ARTICLE

Early Marriage and its Association with the Socioeconomic and Sociocultural Factors of Women in Sudan: A Predictive Model

The Open Public Health Journal 21 Jun 2023 RESEARCH ARTICLE DOI: 10.2174/18749445-v16-e230505-2022-167

Abstract

Background:

Early marriage is spreading in Sudan, like in most African countries. Early marriage is defined as any marriage that happens before the age of 18. Early marriage is a human rights violation and has a huge negative effect, especially on girls.

Objectives:

The aim of this study was to assess the prevalence and determinants of socioeconomic and sociocultural factors associated with women's early marriage in Gezira state in Sudan.

Methods:

The study depended on primary data from Gezira state (2021). The study adopted the questionnaire as a tool for data collection. The questionnaire was designed to collect data on variables related the early marriage. The descriptive statistics, chi-square test, and logistic regression model were used to analyze the collected data.

Results:

The results revealed that the prevalence of early marriage among females in Gezira state was 54.9%, the prevalence of early marriage among rural areas was 57.3%, and there was a significant association between early marriage and unemployment. The result of the logistic regression model showed that there was a significant relationship between early marriage and the factors such as area, wealth index quantile, unemployment, and exposure to media. Whereas the model found an insignificant association between early marriage and the factors such as low financial condition leading to early marriage, early marriage is one of the signs of urbanization, immigrant cultures support early marriage, establishing a good maternal relationship between the child and the mother.

Conclusion:

Early marriage is widespread in Gezira state, and it is associated with socioeconomic and sociocultural factors.

Keywords: Early marriage, Association, Socioeconomic, Sociocultural, Model, Gezira state.

1. INTRODUCTION

Early marriage is defined as any marriage before age 18 [1, 2]. Early marriage is a human rights violation. It has a huge negative effect, especially on girls [3-5]. UNICEF report that more than 12 million girls worldwide are married early. Of these 12 million, approximately 37% of early marriages occurred in sub-Saharan Africa and 30% in South Asia [6]. According to the Sudan Multiple Indicator Cluster Survey 2014 (MICS), 34.3% of the women had early marriage [7]. A study conducted in Ethiopia revealed that the prevalence of early marriage is 73%, and the prevalence is high in the Amhara region compared to other regions of the country [8]. Many studies conducted across the World stated that different contributing covariates of early marriage, such as place of residence, wealth index, family size, education level of the father, marital age, and exposure to the media [9-15]. A study conducted in Sudan revealed that 45.9% was the prevalence of women in early marriage [16]. The incidence of early marriage was significantly less among young women aged 20-24 years compared to their older counterparts [17]. It is reported that factors such as education levels of household heads and women, wealth status, mass media, family size, and residence were significant factors linked to early marriage [18]. It has been revealed that early marriage in Indonesia is determined by social and economic aspects within and surrounding the girls [19]. A study conducted in India demonstrated that early-married girls showed different patterns of growth compared to unmarried girls [20]. Previous studies revealed that inflation and income inequality are significant determinants of early marriage in Iran [21]. Early marriage has different consequences on women and their children's health and social issues. These include increased risk of depression and suicidality; compromised sexual, reproductive, and parental health [4, 22-25]. Early marriage is most common in Bangladesh compared to Indonesia [26]. The aim of this study was to assess the prevalence and determinants of socioeconomic and sociocultural factors associated with Women's early marriage in Gezira State in Sudan.

2. MATERIALS AND METHODS

2.1. The Source of Data

This study depends on primary data from Gezira state (2021). A structured questionnaire was used for data collection. The questionnaire was designed to collect data on variables related to early marriage. The questionnaire was distributed to all localities of Gezira state.

2.2. Sample Design

The study was conducted in Gezira state (2021). Multistage cluster stratified sample designed to draw a represented sample. To distribute the sample on the strata, the proportional distribution of the sample was used, where the total community was divided into (8) strata representing the localities of the state of Al-Gezira. There are (120) administrative units (clusters). Within each cluster, households are selected and they represent the clusters of the second stage. A kish table was used for selecting the respondents. The random sampling method in any society is used to estimate the dependent variable and when the statistical population was homogeneous, the sample size was calculated using the following simple random sampling equation:

Where:

n0 = The primary sample size

z: Standard variable contrast to a certain level of confidence (taken here 5%)

d: Statistical adjustment on both sides of p (taken here 5%)

P: Expected Society parameter

q = 1 - p

Now, the final sample size, according to the rate of confidence in the parameter estimation (P 95%) is 400, if the researcher takes a circular approximation. And the ca of the random sample design not be used due to in heterogeneity of the communities; we revise the design to a multi-stage cluster sample by multiplying by in by design effect which is 3, so the final sample size was:

2.3. Study Variables

The response variable for this study is an early marriage, and it was categorized in such a way that 0 is marriage at the age of 18th or above and 1 is marriage experienced before the 18th birthday. The explanatory variables are cultural, social, and economic factors.

The ergonomic and sociocultural factors used in this study are suggested by many studies [7, 18, 27-34].

2.4. Methods of Analysis

In this session, the study applied the statistical indicators and models related to early marriage data. The study adopted descriptive statistics, logistic regression, and the chi-square test. Also, the estimate coefficients and statistical tests were obtained to distinguish between the factors related to early marriage.

3. RESULTS

The result of Table 1 revealed that marital status showed that 71% of the sample members were married, 23% were divorced, and 5.9% were widowed. According to the area of respondents, the prevalence of early marriage among rural areas was 57.3%, and 42.8% among urban areas.

Regarding the education level of the husband, 51.4% had a university education, 18.4% had postgraduates, 12.8% had secondary education, 7.4% had intermediate education, and 10.3% had primary education. The wife's education level illustrated that 48.3% had a university education, 17% had postgraduates, 15% had secondary education, 7.7% had intermediate education, and 12% had primary education.

In terms of the occupation of the wife, the results revealed that more than sixty were housewives (61.8%), 28.4% were employees, 7.6% were laborers, 1.1% had free jobs, and 1.2% were students. Similarly, the occupation of husband showed that 42.5% of respondents had a free job, 15.4% were employees, 8.3% worked as laborers, 0.8% were students, and 33.1% were without a job. Regarding the wealth index, the result explained that 28.7% of the participants were in the middle class, 27.1% were in the third class, and 9.6% were in the first class. On the other side, the result of the nature of the residence there was that 78.3% of respondents lived with parents and 21.7% of them were living in independent housing.

The results in Table 1 showed that the prevalence of early marriage among females in Gezira state was 54.9%, which indicated that more than half of the sample members were married early.

Table 1.
Characteristics of the sample members.
Variables Frequencies Percent
Age at first marriage - -
Not early marriage 541 45.1
Early marriage 659 54.9
Place of residence - -
Rural 513 42.8
Urban 687 57.3
Marital status - -
Married 853 71.1
Divorced 276 23
Widowed 71 5.9
Education level of Husband - -
Primary 123 10.3
Intermediate 89 7.4
Secondary 153 12.8
University 617 51.4
Postgraduates 218 18.4
Education level of wife - -
Primary 144 12
Intermediate 92 7.7
Secondary 180 15
University 680 48.3
Postgraduates 204 17
Occupation of wife - -
Housewife 741 61.8
Labor 91 7.6
Employee 341 28.4
Free job 13 1.1
Student 14 1.2
Occupation of husband - -
Labor 99 8.3
Employee 185 15.4
Free job 510 42.5
Student 9 0.8
Without job 397 33.1
Wealth index - -
First class 114 9.6
Second class 344 28.7
Third class 325 27.1
The nature of the residence - -
Independent 260 21.7
With Parents 940 78.3

3.1. Prevalence of Early Marriage

The results shown in Table 2 explain the prevalence of early marriage among the participants. The results showed a significant relationship between early marriage and the factors such as area, wealth index quantile, unemployment, a low financial condition leading to early marriage, immigrant cultures supporting early marriage, reading newspapers and magazines, watching TV, listening to the radio, establishing a good maternal relationship between the child and the mother, early marriage leads to family bonding, the influence of early married friends, and prolonging the childbearing period. Whereas there is an insignificant relationship between early marriage and the factors such as preserving money and wealth, who have no desire to complete education, early marriage is one of the signs of urbanization, the girl is a burden to her family, intellectual reason, immunity from not falling into deviation, force, and cruelty by the parents, and fear of spinsterhood.

Table 2.
Prevalence of early marriage.
Variable Classification Early marriage Not early marriage Chi-square p-value
Place of residence Rural 229 (19%) 284 (23.7%) 38.22 0.0001
Urban 430 (35.8%) 257 (21.4%)
Wealth Index Quantile First class 43 (3.6%) 71 (5.9%) 15.04 0.0017
Second to third class 616(51.3%) 470(39.2%)
Unemployment yes 355 (29.6%) 242 (20.1%) 9.92 0.002
No 304 (25.3%) 299 (24.9%)
Preserve money and wealth yes 291 (24.3%) 303 (25.3%) 1.35 0.246
No 268 (22.3%) 238 (19.8%)
The low financial condition leads to early marriage Yes 518 (43.2%) 468 (39%) 12.67 0.0003
No 141 (11.8%) 73 (6.1%)
women have no desire to complete their education Yes 245 (20.4%) 359 (29.9%) 1.62 0.203
No 518 (43.2%) 182 (15.2%)
The girl is a burden to her family Yes 364 (30.3%) 283 (23.6%) 1.023 0.312
No 568 (47.3%) 238 (19.8%)
Early marriage is one of the signs of urbanization Yes 268 (22.3%) 238 (19.8%) 1.35 0.246
No 391 (32.6%) 303 (25.3%)
Immigrant cultures support early marriage Yes 296 (24.7%) 193 (16.1%) 10.51 0.001
No 363 (30.3%) 348 (29%)
Intellectual reason yes 262 (21.8%) 209(17.4%) 0.158 0.691
No 397 (33.1%) 332 (27.7%)
Reading newspapers and magazines Yes 339 (28.3%) 194 (16.1%) 29.23 0.00012
No 320 (26.7%) 347 (28.9%)
Watching TV Yes 317 (26.4%) 217 (18.1%) 7.68 0.006
No 342 (28.5%) 324 (27%)
Listen to the radio Yes 324 (27%) 229 (19.1%) 5.58 0.018
No 335 (27.9%) 312 (26%)
Immunity from not falling into deviation Yes 293 (26%) 219 (18.3%) 2.64 0.267
No 362 (30.1%) 316 (26.3%)
Force and cruelty by the parents Yes 356 (29.7%) 262 (21.8%) 3.72 0.056
No 303(25.3%) 279(23.4%)
Fear of spinsterhood Yes 477 (39.8%) 415 (34.6%) 2.92 0.089
No 182 (15.2%) 126 (10.5%)
Establishing a good maternal relationship between the child and the mother Yes 444 (37%) 408 (34%) 9.33 0.002
No 215 (17.9%) 133 (10%)
Early marriage leads to family bonding Yes 355 (29.6%) 242 (20.2%) 9.92 0.002
No 304 (25.3%) 299 (24.9%)
The influence of early married friends Yes 426 (35.5%) 308 (25.7%) 7.43 0.006
No 233 (19.4%) 233 (19.4%)
Prolonging the childbearing period Yes 299 (24.9%) 177 (14.8%) 19.88 0.0004
No 360 (30%) 364 (30.3%)

3.2. Logistic Regression Model

In this part, the study applied multiple logistic regression to assess the relationship between early marriage and the independent variables. This result indicated that participants who lived in rural areas were more likely to be married early (OR = 0.259, 95% CI 0.324–0.637).

The results showed that those in the top wealth index quintile were less likely to be married early (OR = 0.454, 95% CI 0.164–0.407). Also, the variable unemployment influences early marriage positively (OR = 0.540, 95% CI 0.379–0.771). The odd ratio of 0.540 indicated that females who were not in employment were more likely to have early marriage 0.54 times than those who were in employment.




Table 3.
Results of the multiple logistic regression model.
Variable Classification B S. E Wald test p-value OR 95% C.L for OR
Place of residence Rural -0.79 0.172 20.98 0.0002 0.259 0.324-0.637
Urban ref - 1 - 1 -
Wealth Index Quantile First class -1.35 0.232 34.10 0.0001 0.259 0.164-0.407
Second to third class ref - 1 - 1 -
Unemployment yes -0.62 0.181 11.55 0.001 0.540 0.379-0.771
No ref - 1 - 1 -
The low financial condition leads to early marriage yes 0.071 0.197 0.130 0.718 1.07 0.729-1.581
No ref 1 - - 1 -
Early marriage is one of the signs of urbanization yes -0.10 0.184 0.299 0.584 0.904 0.630-1.297
No ref - 1 - 1 -
Immigrant cultures support early marriage yes -0.024 0.187 0.016 0.899 0.977 0.677-1.408
No ref - 1 - 1 -
Reading newspapers and magazines yes -0.884 0.271 10.66 0.001 0.413 0.234-0.702
No ref - 1 - 1 -
Watching TV yes 0.000 0.349 0.000 1.000 1.000 0.505-1.982
No ref - 1 - 1 -
Listen to the radio yes 0.753 0.347 4.701 0.030 2.124 1.075-4.197
No ref - 1 - 1 -
Establishing a good maternal relationship between the child and the mother yes 0.081 0.172 0.221 0.638 1.084 0.774-1.519
No ref - 1 - 1 -
Early marriage leads to family bonding yes 0.643 0.174 13.579 0.0003 1.902 1.351-2.678
No ref - 1 - 1 -
The influence of early married friends yes -0.114 0.176 0.419 0.517 0.892 0.632-1.260
No - - - - - -
Prolonging the childbearing period yes -0.280 0.183 2.327 0.127 0.756 0.528-1.083
No ref - 1 - 1 -

The result of the model confirmed the impact of reading newspapers and magazines and listening to the radio on early marriage (OR = 0.413, 95% CI 0.234–0.702); (OR = 0.303, 95% CI 1.075–4.197) . Also, the factor “early marriage leads to family bonding” influences early marriage (OR = 1.902, 95% CI 1.351–2.678). The result of the odd ratio of 1.902 indicated that the sample members who agreed with the factor (early marriage leads to family bonding) were more likely to get early marriage 1.902 times than those who did not agree with this factor.

The results of the estimated model revealed that there is an insignificant association between early marriage and the factors such as low financial condition leading to early marriage, early marriage is one of the signs of urbanization, immigrant cultures support early marriage, establishing a good maternal relationship between the child and the mother, the influence of early married friends, and prolonging the childbearing period (Table 3).

4. DISCUSSION

Early marriage is a risky phenomenon that spreads in societies, including Sudan, without finding appropriate solutions to this phenomenon, which claims many human lives and deprives many girls of their childhood, dreams, and right to education, and destroys many families that still marry off girls who have not reached the age of eighteen under the name of customs and traditions.

This study showed that the rate of early marriage in Gezira state was 54.9%, which is very high. This prevalence of early marriage is higher than that obtained by the Sudan Multiple Indicator Cluster Survey 2014 (MICS), which recorded a rate of 34.3%. This high rate may be due to the community values in Gezira state.

Regarding the area of respondents, the prevalence of early marriage among rural areas was 57.3% which indicated that the prevalence of early marriage in rural areas in Gezira state was higher than that in urban areas [9, 16].

The results showed that early marriage correlated with unemployment, this may be due to the participant's economic status; they think about the situation of being without work, they have no job obligations, so they decided to get married. This result agrees with the study conducted in Indonesia [19] where they found that early marriage in Indonesia is determined by social and economic aspects within and surrounding the girls. The low financial condition leads to early marriage, and this gives women motivation to get early marriage to improve their financial status.

On the other side, the study found that the factor of exposure to mass media like newspapers and magazines, watching TV and listening to the radio had an impact on early marriage. This result indicated that exposure to mass media influences the girl's decision about getting early marriage.

The result found there was a relationship between early marriage and the factors such as area, wealth index quantile, unemployment, reading newspapers and magazines, watching TV and listening to the radio. This result was in the same line as the results obtained by [10-12].

CONCLUSION

This study assessed the prevalence and determinants of socioeconomic and sociocultural factors associated with early marriage in Gezira State in Sudan. Early marriage in Gezira state in Sudan is associated with place of residence, wealth index quantile, unemployment, and exposure to mass media.

LIMITATIONS OF THE STUDY

The study met problems and obstacles, such as the distance between the localities of the participants in the study being too long, so the data collection process was very hard. Also, some of the citizens were afraid to participate in the study.

LIST OF ABBREVIATIONS

MICS = Multiple Indicator Cluster Survey
UNICEF = United Nations Children's Fund

ETHICS STATEMENT

This study was approved by the faculty of Economics and Rural Development, Department of Applied Statistics and Demography, University of Gezira, Sudan.

HUMAN AND ANIMAL RIGHTS

No human or animal was used for the studies that are the basis of this research.

CONSENT FOR PUBLICATION

Not applicable.

AVAILABILITY OF DATA AND MATERIAL

All the data and supportive information are provided within the article.

CONFLICT OF INTEREST

The authors declare no conflict of interest financial or otherwise.

FUNDING

None.

ACKNOWLEDGEMENTS

The authors extend their appreciation to Prince Sattam Bin Abdulaziz University for funding this research work. Our special thanks for their financial help and encouragement to carry out this project.

REFERENCES

1
UNICEF. Child marriage. 2020. Available from: https://www.unicef.org/protection/child-marriage
2
Malhotra A, Warner A, McGonagle A, Lee-Rife S. Solutions to end child marriage what the evidence shows. Washington, DC: International center for research on women 2011.
3
Sah RB, Gaurav K, Baral DD, Subedi L, Jha N, Pokharel PK. Factors affecting early age marriage in Dhankuta Municipality, Nepal. Nepal J Med Sci 2014; 3(1): 26-30.
4
Delprato M, Akyeampong K, Sabates R, Hernandez-Fernandez J. On the impact of early marriage on schooling outcomes in Sub-Saharan Africa and South West Asia. Int J Educ Dev 2015; 44: 42-55.
5
Kyari GV, Ayodele J. The socio-economic effect of early marriage in North Western Nigeria. Mediterr J Soc Sci 2014; 5(14)
6
UNICEF. Child marriage around the world. 2022. Available from: https://www.unicef.org/stories/child-marriage-around-world
7
UNICEF. The Multiple Indicator Cluster Surveys. UNICEF 2014.
8
Aychiluhm SB, Tesema AK, Tadesse AW. Early marriage and its determinants among married reproductive age group women in amhara regional state, Ethiopia: A multilevel analysis. BioMed Res Int 2021; 2021: 1-9.
9
Kassa Tekile A, Abate Woya A, Wakjira Basha G. Determinants of early marriage among female children in Amhara Region, Ethiopia. Afr Health Sci 2020; 20(3): 1190-5.
10
Yogi BN. Factors associated with early marriage in rural Mid-Western Nepal. J Health Promotion 2020; 8: 63-72.
11
Tessema Z T. Spatial distribution and associated factors’ of early marriage among reproductive age women in Ethiopia: A secondary data analysis of Ethiopian Demographic and Health Survey 2016. BMC Womens Health 2020; 20(1): 268.
12
Radwan N, Kabbash I, Abd-Ellatif E, Abu-Elenin M. Early marriage determinants and implications among Egyptian women in Gharbia Governorate. J High Insti Pub Health 2021; 51(2): 58-66.
13
Razu SR. Determinants of early marriage among women: An experience from rural bangladesh. Gender Studies 2019; 17(1): 127-36.
14
Hotchkiss DR, Godha D, Gage AJ, Cappa C. Risk factors associated with the practice of child marriage among Roma girls in Serbia. BMC Int Health Hum Rights 2016; 16(1): 6.
15
Early Marriage: Trends in Turkey, 1978-2008. J Family Issues 2014; 35(12): 1707-24.
16
Ali AAA, Ibrahim IA, Abdelgbar SA, Elgessim ME. Socio-demographic factors affecting child marriage in Sudan. J Womens Health Care 2014; 3(4): 1000163.
17
Kamal SMM. Decline in child marriage and changes in its effect on reproductive outcomes in Bangladesh. J Health Popul Nutr 2012; 30(3): 317-30.
18
Saleheen AAS, Afrin S, Kabir S, et al. Sociodemographic factors and early marriage among women in Bangladesh, Ghana and Iraq: An illustration from Multiple Indicator Cluster Survey. Heliyon 2021; 7(5): e07111.
19
Marshan JN, Rakhmadi MF, Rizky M. Prevalence of Child Marriage and Its Determinants among Young Women in Indonesia Child Poverty and Social Protection. confidence jakarta indonesia, UNCIEF 2013.
20
Marphatia AA, Wells JCK, Reid AM, Yajnik CS. Biosocial life‐course factors associated with women’s early marriage in rural India: The prospective longitudinal Pune Maternal Nutrition Study. Am J Biol Anthropol 2022; 177(1): 147-61.
21
Asna-ashary M, Farzanegan MR, Feizi M, Gholipour HF. Socio-economic determinants of child marriage: Evidence from the Iranian provinces Beiträge zur Jahrestagung des Vereins für Socialpolitik 2020: Gender Economics. Kiel, Hamburg: ZBW - Leibniz Information Centre for Economics 2020.
22
Gage AJ. Association of child marriage with suicidal thoughts and attempts among adolescent girls in Ethiopia. J Adolesc Health 2013; 52(5): 654-6.
23
Nour NM. Child marriage: A silent health and human rights issue. Rev Obstet Gynecol 2009; 2(1): 51-6.
24
Raj A, Saggurti N, Lawrence D, Balaiah D, Silverman JG. Association between adolescent marriage and marital violence among young adult women in India. Int J Gynaecol Obstet 2010; 110(1): 35-9.
25
Raj A, Gomez C, Silverman JG. Driven to a fiery death-the tragedy of self-immolation in Afghanistan. N Engl J Med 2008; 358(21): 2201-3.
26
MacQuarrie K L, Juan C, Fish T D. Trends, inequalities, and contextual determinants of child marriage in Asia. In: DHS Analytical Studies No 69. Rockville, Maryland, USA: ICF 2019.
27
Modak P. Determinants of girl-child marriage in high prevalence states in India. J Int Womens Stud 2019; 20(7): 374-94.
28
Sekine K, Hodgkin ME. Effect of child marriage on girls’ school dropout in Nepal: Analysis of data from the Multiple Indicator Cluster Survey 2014. PLoS One 2017; 12(7): e0180176.
29
Madut KK. Determinants of early marriageand construction of gender roles in South Sudan. J Black Stud 2020; 1-9.
30
Agresti A. An introduction to categorical data analysis. New Jersey: John Wiley & Sons 2007.
31
Cox D, Snell E. Analysis of Binary Data. Chapman and Hall/CRC 1989.
32
HOSMER, D. W., LEMESHOW, S., & STURDIVANT, R. X. Applied Logistic Regression. New Jersey: John Wiley & Sons 2013.
33
Mood C. Logistic regression: Why we cannot do what we think we can do, and what we can do about it. Eur Sociol Rev 2010; 26(1): 67-82.
34
Cochran WG. Sampling techniques. 3rd ed. New York: John Wiley & Sons 1977.