Factors associated with divorce from first union among women in Ethiopia: Further analysis of the 2016 Ethiopia demographic and health survey data

Dagnew, Gizachew Worku; Asresie, Melash Belachew; Fekadu, Gedefaw Abeje; Gelaw, Yared Mulu

doi:10.1371/journal.pone.0244014

Cited by 15 publications

(24 citation statements)

References 39 publications

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“…This study aimed to investigate the prevalence of marriage dissolution among married people in Hosanna Township. The prevalence of marital dissolution in this study area was 26.0%, which was comparable to that of study in Ethiopia, where approximately 25% of married women were reported to be divorced from their first relationship [ 18 ].…”

Section: Discussionsupporting

confidence: 73%

“…Furthermore, another study in rural South Africa indirectly revealed the effect of education on marriage dissolution and reported that those with higher education were more likely to remain in one marriage than those who had never attended school [ 19 ]. Being limited to women and methodological differences between the previous and the current study could more likely explain the observed differences [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

“…Previous researchers have found inconsistent findings on the proportion of marital dissolution and the effect of partners' socio-demographic characteristics on the risk of marital dissolution [ 1 , 16 , 18 , 19 ]. Moreover, most previous studies have used secondary data and have focused on divorce, not separation [ 18 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Marital dissolution and associated factors in Hosanna, Southwest Ethiopia: a community-based cross-sectional study

Asfaw

Alene

2023

BMC Psychol

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Background Marriage dissolution, divorce, or separation from a spouse or common-law partner is a serious public health concern due to its increasing prevalence and devastating health and socio-economic consequences. Evidence suggests an increased risk of marital instability in Ethiopia. In addition, the extent of marital dissolution and other related factors have increased in the study area. Despite these, the prevalence of marital dissolution and the influence of associated factors (main reason for marriage, and parental history of marital dissolution) on marital dissolution has not been assessed in the study area. Therefore, the aim of this study was to investigate the prevalence of marital dissolution and its associated factors among residents of Hosanna town in southwestern Ethiopia in 2022. Methods We conducted a community-based cross-sectional study among 459 randomly selected Hosanna Township residents. We used structured questionnaires to collect data. Descriptive statistics and logistic regression were performed to describe the data and test-associated factors, respectively. A p-value less than 0.05 was used to define statistical significance. We used STATA 14 and IBM SPSS 25.0 computer packages to process data. Results Out of the 459 potentially eligible individuals, 450 participants properly responded to the questionnaires yielding a response rate of 98.04%. Of these, 218 (52.9%) were female. The commonly reported reason for marriage was to have children 150 (36.9%). The prevalence rate of marital dissolution was 26.0% (95% CI: (21.7%, 30.3%)). The participant's level of education and the primary reasons (motives) why they get married were statistically significantly associated with marital dissolution. The odds of marital dissolution was higher among participants who completed secondary education (AOR = 3.2, 95% CI = 1.26–8.17) compared to those having no formal education. The participants who married for companionship reasons (AOR = 0.31, 95% CI = 0.11–0.83) had significantly lower odds of marriage dissolution compared with those who married for financial security. Conclusions In this study, the prevalence of marital dissolution was high. The participant’s level of education and the primary reasons (motives) why they getting married were significantly associated with marital dissolution. Therefore, an integrated, community-based approach should be developed to prevent marital dissolution.

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Section: Discussionsupporting

confidence: 73%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Marital dissolution and associated factors in Hosanna, Southwest Ethiopia: a community-based cross-sectional study

Asfaw

Alene

2023

BMC Psychol

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“…A total of eight covariates were controlled for in the present study. The variables were selected based on their availability in the DHS dataset as well as their significant association with divorce or separation ( Dagnew et al, 2020 ; Wagman et al, 2016 ). In the analysis, we utilised the existing coding in the DHS dataset for maternal age (years), educational level, current working status.…”

Section: Study Variablesmentioning

confidence: 99%

Intimate partner violence as a predictor of marital disruption in sub-Saharan Africa: A multilevel analysis of demographic and health surveys

Seidu

Aboagye

Adu

et al. 2021

SSM - Population Health

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Introduction Intimate partner violence has gained momentum as health, social, and human right issue across the globe. Women within sub-Saharan Africa often do not report any case of violence due to the acceptance of violence which is rooted in their socio-cultural beliefs and practices. With a high prevalence of marital disruption in sub-Saharan Africa, it is important that we understand the role intimate partner violence plays in this phenomenon. Hence, this present study assessed the association between intimate partner violence and marital disruption among women in sub-Saharan Africa. Methods This study involved a cross-sectional analysis of data from the Demographic and Health Survey of 25 countries in sub-Saharan Africa. Multilevel binary logistic regression analysis was carried out and the results were presented as adjusted odds ratios (aOR) at 95% Confidence Interval (CI). Results The prevalence of physical, emotional, and sexual violence in the 25 countries considered in this study were 29.3%, 28%, and 11.5%, respectively. The highest prevalence of physical violence was in Sierra Leone (50.0%) and the lowest prevalence was in Comoros (5.7%). For emotional violence, the highest prevalence was in Sierra Leone (45.9%) and the lowest prevalence was in Comoros (7.9%). The highest prevalence of sexual violence was in Burundi (25.5%) and the lowest prevalence was in Comoros (1.8%). The average prevalence of marital disruption was 7.7%. This ranged from 1.3% in Burkina Faso to 20.2% in Mozambique. We found that women who had ever experienced physical violence were more likely to experience marital disruptions compared to those who had never experienced physical violence [aOR = 1.42, 95% CI = 1.35–1.50]. Women who had ever experienced sexual violence were more likely to experience marital disruption compared to those who had never experienced sexual violence [aOR = 1.29, 95% CI = 1.21–1.37]. Finally, women who had ever experienced emotional violence were more likely to experience marital disruption compared to those who had never experienced emotional violence [aOR = 1.86, 95% CI = 1.76–1.96]. Conclusion Findings from this study call for proven effective intimate partner violence reduction interventions such as strengthening laws against intimate partner violence in sub-Saharan Africa. Again, marital counseling and health education interventions should be implemented to address the role of intimate partner violence on the wellbeing of women and the stability of couples in sub-Saharan Africa.

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“…This study has some limitations. Many factors other than the ages at first marriage influence the likelihood of marital dissolution [14,46,47], but we do not have the necessary data for adjusting our models for all those variables. One such variable is the duration of a marital relationship, which is a potential risk factor for marital stability [20].…”

Section: Discussionmentioning

confidence: 99%

Child marriage, marital disruption, and marriage thereafter: evidence from a national survey

Islam

2022

BMC Women's Health

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Background This study examines the relationship between women’s ages at their first marriages and the marital disruption among those who experienced child marriages and those who did not as well as identifies some compromises that women make in their remarriages after previous marital disruptions. Methods The data of 57,476 women from the 2019 Bangladesh Multiple Indicator Cluster Survey were analysed using multivariable logistic and linear regressions. Women’s compromises in their remarriages were examined by determining the age differences with their current husbands, whether the current husband has another wife and their attitudes toward the justification of intimate partner violence by husbands. Results Almost 65% of women experienced child marriage, and its prevalence is higher in rural (66.5%) than in urban areas (59.2%). The probability of marital disruptions decreases as the ages at the first marriages rise among women who experienced child marriages and increase among women who did not. Women living in rural areas are less likely than those living in urban areas to report marital dissolution (AOR 0.81, 95% CI 0.73–0.90). Also, women who completed relatively more years of education or have greater wealth are less likely to report marital disruptions and those who never gave birth are more likely to report these (AOR 3.54, 95% CI 3.14–3.99). Women who remarried after previous disruptions are more likely to report that their new husbands are, on average, almost 12 years older than they are, and have another wife. Also, those who experienced marital disruptions are more likely than others to believe that husbands are justified in beating their wives in certain circumstances. Conclusion The odd of marital disruption decreases with the ages at first marriage among women who experienced child marriage and increase among women who did not. There is a curvilinear relationship between women’s ages at their first marriages and the probability of marital disruptions. Making compromises in remarriages after disruptions is common. Because marital disruption is increasing, appropriate policies are needed to address the adverse outcomes of divorces that ensue.

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Factors associated with divorce from first union among women in Ethiopia: Further analysis of the 2016 Ethiopia demographic and health survey data

Cited by 15 publications

References 39 publications

Marital dissolution and associated factors in Hosanna, Southwest Ethiopia: a community-based cross-sectional study

Marital dissolution and associated factors in Hosanna, Southwest Ethiopia: a community-based cross-sectional study

Intimate partner violence as a predictor of marital disruption in sub-Saharan Africa: A multilevel analysis of demographic and health surveys

Child marriage, marital disruption, and marriage thereafter: evidence from a national survey

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