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Population attributable risk of key modifiable risk factors associated with non-exclusive breastfeeding in Nigeria

Overview of attention for article published in BMC Public Health, February 2018
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Title
Population attributable risk of key modifiable risk factors associated with non-exclusive breastfeeding in Nigeria
Published in
BMC Public Health, February 2018
DOI 10.1186/s12889-018-5145-y
Pubmed ID
Authors

Felix Akpojene Ogbo, Andrew Page, John Idoko, Kingsley E. Agho

Abstract

Non-exclusive breastfeeding (non-EBF) is a risk factor for many of the 2300 under-five deaths occurring daily in Nigeria - a developing country with approximately 40 million children. This study aimed to quantify and compare the attributable burden of key modifiable risk factors associated with non-EBF in Nigeria to inform strategic policy responses and initiatives. Relative risk and exposure prevalence for selected modifiable risk factors were used to calculate population attributable fractions based on Nigeria Demographic and Health Surveys data for the period (1999-2013). Scenarios based on feasible impact of community-based interventions in reducing exposure prevalence were also considered to calculate comparative potential impact fractions. In Nigeria, an estimated 22.8% (95% Confidence Interval, CI: 9.2-37.0%) of non-EBF was attributable to primary and no maternal education; 24.7% (95% CI: 9.5-39.5%) to middle and poor household wealth, 9.7% (1.7-18.1%) to lower number (1-3) and no antenatal care visits; 18.8% (95% CI: 6.9-30.8%) to home delivery and 16.6% (95% CI: 3.0-31.3%) to delivery assisted by a non-health professional. In combination, more than half of all cases of non-EBF (64.5%; 95% CI: 50.0-76.4%) could be attributed to those modifiable risk factors. Scenarios based on feasible impacts of community-based approaches to improve health service access and human capacity suggest that an avoidable burden of non-EBF practice of approximately 11% (95% CI: -5.4; 24.7) is achievable. Key modifiable risk factors contribute significantly to non-EBF in Nigerian women. Community-based initiatives and appropriate socio-economic government policies that specifically consider those modifiable risk factors could substantially reduce non-EBF practice in Nigeria.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 16%
Student > Ph. D. Student 14 10%
Student > Postgraduate 11 8%
Student > Bachelor 9 6%
Student > Doctoral Student 9 6%
Other 17 12%
Unknown 58 41%
Readers by discipline Count As %
Nursing and Health Professions 34 24%
Medicine and Dentistry 21 15%
Social Sciences 5 4%
Biochemistry, Genetics and Molecular Biology 3 2%
Unspecified 3 2%
Other 11 8%
Unknown 64 45%