Determinants of high-risk fertility behavior among women of reproductive age in Kenya: a multilevel analysis based on 2022 Kenyan demographic and health survey

BACKGROUND

Women's high-risk fertility behavior (HRFB), which is characterized by narrow birth intervals, high birth order, and younger maternal age at birth, have been scientifically reported to have detrimental effects on the mother and child's health. To date, there has been limited research into the underlying factors contributing to high-risk fertility behavior in Kenya. Thus, the aim of this study is to identify the factors associated with high-risk fertility behavior among women of reproductive age in Kenya.

METHOD

The 2022 Kenyan Demography and Health Survey data was used for the current study. This study included 15,483 women of reproductive age. To account for the clustering effects of DHS data and the binary nature of the outcome variable, a multilevel binary logistic regression model was applied. An adjusted odds ratio with a 95% confidence interval was reported to declare the statistical significance. In addition, the model that had the lowest deviance was the one that best fit the data.

RESULTS

The overall prevalence of HRFB among Kenyan women were 70.86% (95%CI = 69.96, 71.40). Women with primary, secondary, and higher educational levels, Protestant and Muslim religion followers, women whose husbands/partners had secondary and higher educational levels, a high household wealth index, ever had a terminated pregnancy, and rural residence, all of these factors were found to be strongly associated with high-risk fertility behavior.

CONCLUSION

As per the findings of our study, in Kenya a significant proportion of women has experienced HRFB. This is a matter of concern as it poses a significant challenge to the healthcare system. The high prevalence of HRFB indicates that there is an urgent need to take appropriate measures in order to mitigate its impact. The situation calls for a comprehensive and coordinated approach involving all stakeholders to address this issue effectively. It would benefit policymakers to create programs that consider factors like education, wealth, and residence that make women more susceptible to HRFB. Targeting women living in high HRFB-prevalence areas could help address the root causes of the issue. This approach can alleviate negative impacts and ensure effective and sustainable solutions.

Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia

BACKGROUND

In low-and-middle-income, including Ethiopia, high-risk fertility behavior is a major public health concern. High-risk fertility behavior has an adverse influence on maternal and child health, which hampered efforts to reduce maternal and child morbidity and mortality in Ethiopia. Therefore, this study aimed to assess the spatial distribution and associated factors of high-risk fertility behavior among reproductive-age women in Ethiopia using recent nationally representative data.

METHODS

Secondary data analysis was done with a total weighted sample of 5865 reproductive-aged women using the latest mini EDHS 2019. The spatial distribution of high-risk fertility behavior in Ethiopia was determined using spatial analysis. Multilevel multivariable regression analysis was used to identify predictors of high-risk fertility behavior in Ethiopia.

RESULTS

The prevalence of high-risk fertility behavior among reproductive-age women in Ethiopia was 73.50% (95% CI 72.36%, 74.62%). Women with primary education [AOR = 0.44; 95%CI; 0.37, 0.52], women with secondary and above education [AOR = 0.26; 95%CI; 0.20, 0.34], being Protestant religion followers [AOR = 1.47; 95%CI; 1.15, 1.89], being Muslim religion follower [AOR = 1.56; 95%CI; 1.20, 2.01], having television [AOR = 2.06; 95%CI; 1.54, 2.76], having ANC visit [AOR = 0.78; 95%CI; 0.61, 0.99], using contraception [AOR = 0.77; 95%CI; 0.65, 0.90], living in rural areas [AOR = 1.75; 95%CI; 1.22, 2.50] were significantly associated with high-risk fertility behavior. Significant hotspots of high-risk fertility behavior were detected in Somalia, SNNPR, Tigray region, and Afar regions of Ethiopia.

CONCLUSIONS

A significant proportion of women in Ethiopia engaged in high-risk fertility behavior. High-risk fertility behavior was distributed non-randomly across Ethiopian regions. Policymakers and stakeholders should design interventions that take into account the factors that predispose women to have high-risk fertility behaviors and women who reside in areas with a high proportion of high-risk fertility behaviors to reduce the consequences of high-risk fertility behaviors.

Determinants of high-risk fertility behavior among reproductive-age women in Ethiopia using the recent Ethiopian Demographic Health Survey: a multilevel analysis

Background

High-risk fertility behavior is associated with numerous unfavorable child and maternal health outcomes such as chronic undernutrition, anemia, and child mortality. As far as our knowledge goes, there is not much study on determinants of high-risk fertility behavior in Ethiopia. Therefore, this study aimed to assess determinants of high-risk fertility behavior among reproductive-age women in Ethiopia.

Method

The study was based on secondary data analysis from the 2016 Ethiopia Demography and Health Survey. A total of 11,022 women who gave birth 5 years preceding the survey were included in this study. Kid’s Record (KR) dataset was used. The adjusted odds ratio (AOR) with its 95% confidence interval (CI) was calculated for those variables included in the multilevel logistic regression model. P value ≤ 0.05 was employed to declare the statistically significant variables.

Results

More than three-fourths (76.9%) of (95% CI 76.11 to 77.69) reproductive-age women had at least one high-risk fertility behavior. Attended primary and secondary education adjusted odds ratio (AOR) (AOR = 0.71; 95% CI 0.63, 0.80 and AOR = 0.73; 95% CI 0.60, 0.89, respectively), never used contraceptive (AOR = 1.25, 95% CI 1.12, 1.40), unwanted pregnancies (AOR = 1.40, 95% CI 1.23, 1.59), had no ANC visit (AOR = 1.19, 95% CI 1.05, 1.35), rural-dwelling (AOR = 1.26, 95% CI 1.04, 1.51), regions of Ethiopia [Somalia (AOR = 1.70; 95% CI 1.24, 2.32) and Amhara (AOR = 0.72; 95% CI 0.53, 0.96)] were determinants of high-risk fertility behavior.

Conclusion

Education, rural residence, unwanted pregnancies, no antenatal care follow-up, and never used contraceptives were determinants of high-risk fertility behavior. Therefore, increased maternal health services, special intervention for hotspot areas, and giving special attention to rural dweller women were highly recommended.

Geographical variation in determinants of high-risk fertility behavior among reproductive age women in Ethiopia using the 2016 demographic and health survey: a geographically weighted regression analysis

BACKGROUND

Maternal and child mortalities are the main public health problems worldwide and both are the major health concern in developing countries such as Africa and Asia. The fertility behavior of women characterized by maternal age, birth spacing, and order, impacts the health of women and children. The aim of this study was to assess the geographically variation in risk factors of high-risk fertility behavior (HRFB) among reproductive-age women in Ethiopia using the 2016 Demographic and Health Survey.

METHODS

A total of 11,022 reproductive-age women were included in this study. The data were cleaned and weighted by STATA 14.1 software. Bernoulli based spatial scan statistics was used to identify the presence of pure high-risk fertility behavior spatial clusters using Kulldorff's SaTScan version 9.6 software. ArcGIS 10.7 was used to visualize the spatial distribution of high-risk fertility behavior. Geographically weighted regression analysis was employed by multiscale geographical using Multiscale geographical weighted regression version 2.0 software. A p-value of less than 0.05 was used to declare statistically significant predictors (at a local level).

RESULTS

Overall, 76% with 95% confidence interval of 75.60 to 77.20 of reproductive age women were faced with high-risk fertility problems in Ethiopia. High-risk fertility behavior was highly clustered in the Somali and Afar regions of Ethiopia. SaTScan identified 385 primary spatial clusters (RR = 1.13, P <  0.001) located at Somali, Afar, and some parts of Oromia Regional Stateregional state of Ethiopia. Women who are living in primary clusters were 13% more likely venerable to high-risk fertility behavior than outside the cluster. In geographically weighted regression, not using contraceptives and home delivery were statistically significant vary risk factors affecting high- risk fertility behavior spatially. No contraceptive use and home delivery were statistically significant predictors (at the local level) in different regions of Ethiopia.

CONCLUSION

In Ethiopia, HRFB varies across regions. Statistically, a significant-high hot spot high-risk fertility behavior was identified at Somali and Afar. No contraceptive use and home delivery were statistically significant predictors (at a local level) in different regions of Ethiopia. Therefore, policymakers and health planners better to design an effective intervention program at Somali, and Afar to reduce high-risk fertility behavior and Special attention needs about health education on the advantage of contraceptive utilization and health facility delivery to reduce high-risk fertility behavior.