ArticleMalawi medical journal : the journal of Medical Association of Malawi2019
Do Community Characteristics Influence Unintended Pregnancies in Kenya?
Article in Malawi medical journal : the journal of Medical Association of Malawi, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Factors associated with unplanned pregnancy among pregnant women in Uganda.Scientific reports · 2025Article
- Validation of the Fertility Norms Scale and Association with Fertility Intention and Contraceptive Use in India.Studies in family planning · 2023Article
- Prevalence of and factors associated with unintended pregnancies among sexually active undergraduates in mainland China.Reproductive health · 2022Article
- Individual and community level factors associated with unintended pregnancy among pregnant women in Ethiopia.Scientific reports · 2021Article
- Factors associated with the awareness of contraceptive methods, understanding the prevention of HIV/AIDS and the perception of HIV/AIDS risk among secondary school students in Dar es Salaam, Tanzania.Journal of rural medicine : JRM · 2020Article
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Authors and funding
4 authors.
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Abstract
Background: Most existing studies on unintended pregnancies tend to examine the influence of individual socio-demographic and health characteristics without sufficient attention to community characteristics. This study examines community characteristics influencing unintended pregnancies in Kenya. Methods: Data were extracted from the 2014 Kenya Demographic and Health Survey (KDHS). The outcome variable was unintended pregnancy. The explanatory variables were selected individual and community level variables. The Multilevel mixed-effects logistic regression was applied. Results: Findings show 41.9% prevalence of unintended pregnancies. Community characteristics such as community education, community timing for initiation of childbearing, community fertility norms, and community media exposure significantly influence the likelihood of unintended pregnancies. The Intra-Cluster Correlation (ICC) provided evidence that community characteristics had effects on unintended pregnancies. Conclusion: There is evidence that community characteristics influence the prevalence of unintended pregnancies in Kenya. Community sensitisation and mobilisation should be central to all efforts aiming to reduce prevalence of unintended pregnancies.
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