Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Bankole, I. Adewole, R. Hussain, O. Awolude, Susheela Singh, J. Akinyemi (2015)
The Incidence of Abortion in Nigeria.International perspectives on sexual and reproductive health, 41 4
J. Hall, G. Barrett, Tambosi Phiri, A. Copas, A. Malata, J. Stephenson (2016)
Prevalence and Determinants of Unintended Pregnancy in Mchinji District, Malawi; Using a Conceptual Hierarchy to Inform AnalysisPLoS ONE, 11
S. Eliason, F. Baiden, Barbara Yankey, K. Awusabo-Asare (2014)
Determinants of unintended pregnancies in rural GhanaBMC Pregnancy and Childbirth, 14
A. Ayoola (2015)
Late Recognition of Unintended Pregnancies.Public health nursing, 32 5
J. Fotso, C. Izugbara, Teresa Saliku, R. Ochako (2014)
Unintended pregnancy and subsequent use of modern contraceptive among slum and non-slum women in Nairobi, KenyaBMC Pregnancy and Childbirth, 14
C. Victora, S. Huttly, S. Fuchs, M. Olinto (1997)
The role of conceptual frameworks in epidemiological analysis: a hierarchical approach.International journal of epidemiology, 26 1
W. Cochran (1963)
Sampling Techniques, 3rd Edition
M. Lamina (2015)
Prevalence and Determinants of Unintended Pregnancy Among Women in South-Western Nigeria.Ghana medical journal, 49 3
G. Sedgh, Susheela Singh, R. Hussain (2014)
Intended and unintended pregnancies worldwide in 2012 and recent trends.Studies in family planning, 45 3
Ghose Bishwajit, Shangfeng Tang, S. Yaya, Zhanchun Feng (2017)
Unmet need for contraception and its association with unintended pregnancy in BangladeshBMC Pregnancy and Childbirth, 17
E. Ameyaw, Eugene Budu, Francis Sambah, Linus Baatiema, F. Appiah, A. Seidu, B. Ahinkorah (2019)
Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multi-country analysis of demographic and health surveysPLoS ONE, 14
J. Bearak, Anna Popinchalk, L. Alkema, G. Sedgh (2018)
Global, regional, and subregional trends in unintended pregnancy and its outcomes from 1990 to 2014: estimates from a Bayesian hierarchical model.The Lancet. Global health, 6 4
Background/aimsStudies have identified risks for unintended pregnancies, globally and in Nigeria, which include ineffective contraception, strong opposition to family planning by partners, number of living children and birth interval. These factors have contributed to the increasing rate of unintended pregnancy and the high rate of induced abortion, with associated consequences such as obstetric haemorrhage, infection and increased maternal morbidity and mortality. However, there is a paucity of information regarding the influence of culture and religion on pregnancy intentions. This study aimed to examine the influence of culture, religion, sociodemographic characteristics, and reproductive characteristics on nursing mothers' perception of unintended pregnancy in southwest Nigeria.MethodsThis study used a sequential explanatory mixed-method approach, with both quantitative and qualitative elements. A conceptual hierarchical model was used to analyse the influence of three levels of characteristics (sociodemographic, religious and cultural, reproductive) on unintended pregnancy in southwest Nigeria. A total of 400 nursing mothers attending either a postnatal, immunisation, infant welfare or under-five clinic were selected via multistage sampling from primary healthcare centres. Quantitative data were collected from these participants using a semi-structured questionnaire, administered by a researcher. These data were analysed using both bivariate and multivariate analysis. First, they were analysed with either a chi-squared or Fisher exact test, then subjected to a regression model analysis. Qualitative data were collected and subjected to content analysis via focus group discussions with a total of 32 purposively selected participants.ResultsApproximately 36.5% participants reported their index pregnancy as being unintended. With regression analysis, age (25–34 years: relative risk ratio=0.42, P=0.02; 35–44 years: relative risk ratio=0.21, P=0.003), parity (relative risk ratio=10.38, P<0.00), ethnicity (relative risk ratio=0.13, P=0.002) and religion (relative risk ratio=0.26, P=0.048) were found to be significant risk factors for unintended pregnancy.ConclusionsAge, parity, ethnicity and religion were the main determinants of unintended pregnancies. Intervention programmes should therefore be aware of these variables and address myths and misconceptions about pregnancy intentions.
African Journal of Midwifery and Women's Health – Mark Allen Group
Published: Apr 2, 2020
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.