Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia
Abstract Despite growing utilization of family planning in Ethiopia, many pregnancies in rural areas are still unintended and unintended pregnancy remains a major global challenge in public and reproductive health, with devastating impact on women and child health, and the general public. Hence, thi...
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2025-01-01
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| author | Melak Jejaw Kaleb Assegid Demissie Misganaw Guadie Tiruneh Kaleab Mesfin Abera Yawkal Tsega Abel Endawkie Wubshet D. Negash Amare Mesfin Workie Lamrot Yohannes Mihret Getnet Nigusu Worku Adina Yeshambel Belay Lakew Asmare Hiwot Tadesse Alemu Demiss Mulatu Geberu Asebe Hagos |
| author_facet | Melak Jejaw Kaleb Assegid Demissie Misganaw Guadie Tiruneh Kaleab Mesfin Abera Yawkal Tsega Abel Endawkie Wubshet D. Negash Amare Mesfin Workie Lamrot Yohannes Mihret Getnet Nigusu Worku Adina Yeshambel Belay Lakew Asmare Hiwot Tadesse Alemu Demiss Mulatu Geberu Asebe Hagos |
| author_sort | Melak Jejaw |
| collection | DOAJ |
| description | Abstract Despite growing utilization of family planning in Ethiopia, many pregnancies in rural areas are still unintended and unintended pregnancy remains a major global challenge in public and reproductive health, with devastating impact on women and child health, and the general public. Hence, this study was aimed to determine the prevalence and associated factors of unintended pregnancy in rural women of Ethiopia. This study used a 2016 Ethiopian Demography and Health Survey data. A total weighted samples of 974 reproductive-aged rural women were included in this analysis. Multilevel mixed logistic regression analysis was employed to consider the effect of hierarchal nature of EDHS data using Stata version 14 to determine individual and community level factors. Variables significantly associated with unintended pregnancy were declared at p-value < 0.05 with adjusted odds ratio and 95% confidence interval (CI). The prevalence of unintended pregnancy in rural women was 31.66% ( 95%CI 28.8%, 34.66%). Never had media exposure (AOR: 2.67, 95%CI 1.48, 4.83), don’t have work (AOR: 0.33, 95%CI 0.21, 0.52), being from household size of one to three (AOR: 0.44 95%CI 0.2, 0.96), being primiparous (AOR: 0.41, 95%CI 0.17, 0.99), women from poor families (AOR: 2.4, 95%CI 1.24, 4.56), lacking the intention to use contraceptive (AOR: 0.24, 95%CI 0.14, 0.44) were individual-level factors significantly associated with unintended pregnancy. Women from large central region (AOR: 4.2, 95%CI 1.19, 14.62) and being from poor community wealth status (AOR: 4.3, 95%CI 1.85, 10.22) were community-level factors statistically associated with unintended pregnancy. The present study prevalence of unintended pregnancy in rural women was relatively high. Maternal occupation, household size, media exposure, parity, women wealth, intention to use contraceptive, region and community level wealth were factors statistically associated with unintended pregnancy. Hence, demographer and public health practitioners has to give great emphasis on designing an intervention with implementation strategies to increase accessibility of media for reproductive-age women’s and improve women financial capacity, and strengthen maternal health services. These strategies helps to decrease adverse birth outcomes associated with unintended pregnancy in rural areas. |
| format | Article |
| id | doaj-art-989b5620ff1743a4a170a4f75c626e93 |
| institution | Kabale University |
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| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-989b5620ff1743a4a170a4f75c626e932025-01-05T12:13:54ZengNature PortfolioScientific Reports2045-23222025-01-0115111310.1038/s41598-024-81067-wPrevalence and determinants of unintended pregnancy among rural reproductive age women in EthiopiaMelak Jejaw0Kaleb Assegid Demissie1Misganaw Guadie Tiruneh2Kaleab Mesfin Abera3Yawkal Tsega4Abel Endawkie5Wubshet D. Negash6Amare Mesfin Workie7Lamrot Yohannes8Mihret Getnet9Nigusu Worku10Adina Yeshambel Belay11Lakew Asmare12Hiwot Tadesse Alemu13Demiss Mulatu Geberu14Asebe Hagos15Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Health Policy and Systems, Institute of Public Health, College of Medicine and Health Sciences, Wollo UniversityDepartment of Health System and Management, School of Public Health, College of Medicine and Health Sciences, Wollo UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wollo UniversityDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Nutrition and Dietetics, Institute of Public Health, College of Medicine and Health Science, University of GondarDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Human Physiology, School of Medicine, College of Medicine and Health Sciences, University of GondarDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of GondarAbstract Despite growing utilization of family planning in Ethiopia, many pregnancies in rural areas are still unintended and unintended pregnancy remains a major global challenge in public and reproductive health, with devastating impact on women and child health, and the general public. Hence, this study was aimed to determine the prevalence and associated factors of unintended pregnancy in rural women of Ethiopia. This study used a 2016 Ethiopian Demography and Health Survey data. A total weighted samples of 974 reproductive-aged rural women were included in this analysis. Multilevel mixed logistic regression analysis was employed to consider the effect of hierarchal nature of EDHS data using Stata version 14 to determine individual and community level factors. Variables significantly associated with unintended pregnancy were declared at p-value < 0.05 with adjusted odds ratio and 95% confidence interval (CI). The prevalence of unintended pregnancy in rural women was 31.66% ( 95%CI 28.8%, 34.66%). Never had media exposure (AOR: 2.67, 95%CI 1.48, 4.83), don’t have work (AOR: 0.33, 95%CI 0.21, 0.52), being from household size of one to three (AOR: 0.44 95%CI 0.2, 0.96), being primiparous (AOR: 0.41, 95%CI 0.17, 0.99), women from poor families (AOR: 2.4, 95%CI 1.24, 4.56), lacking the intention to use contraceptive (AOR: 0.24, 95%CI 0.14, 0.44) were individual-level factors significantly associated with unintended pregnancy. Women from large central region (AOR: 4.2, 95%CI 1.19, 14.62) and being from poor community wealth status (AOR: 4.3, 95%CI 1.85, 10.22) were community-level factors statistically associated with unintended pregnancy. The present study prevalence of unintended pregnancy in rural women was relatively high. Maternal occupation, household size, media exposure, parity, women wealth, intention to use contraceptive, region and community level wealth were factors statistically associated with unintended pregnancy. Hence, demographer and public health practitioners has to give great emphasis on designing an intervention with implementation strategies to increase accessibility of media for reproductive-age women’s and improve women financial capacity, and strengthen maternal health services. These strategies helps to decrease adverse birth outcomes associated with unintended pregnancy in rural areas.https://doi.org/10.1038/s41598-024-81067-wMagnitudeUnintended pregnancyMultilevel analysisEthiopia |
| spellingShingle | Melak Jejaw Kaleb Assegid Demissie Misganaw Guadie Tiruneh Kaleab Mesfin Abera Yawkal Tsega Abel Endawkie Wubshet D. Negash Amare Mesfin Workie Lamrot Yohannes Mihret Getnet Nigusu Worku Adina Yeshambel Belay Lakew Asmare Hiwot Tadesse Alemu Demiss Mulatu Geberu Asebe Hagos Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia Scientific Reports Magnitude Unintended pregnancy Multilevel analysis Ethiopia |
| title | Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia |
| title_full | Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia |
| title_fullStr | Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia |
| title_full_unstemmed | Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia |
| title_short | Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia |
| title_sort | prevalence and determinants of unintended pregnancy among rural reproductive age women in ethiopia |
| topic | Magnitude Unintended pregnancy Multilevel analysis Ethiopia |
| url | https://doi.org/10.1038/s41598-024-81067-w |
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