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Adolescent first births in East Africa: disaggregating characteristics, trends and determinants

Overview of attention for article published in Reproductive Health, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

policy
1 policy source
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8 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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54 Dimensions

Readers on

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297 Mendeley
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Title
Adolescent first births in East Africa: disaggregating characteristics, trends and determinants
Published in
Reproductive Health, February 2015
DOI 10.1186/1742-4755-12-13
Pubmed ID
Authors

Sarah E Neal, Venkatraman Chandra-Mouli, Doris Chou

Abstract

The use of a single national figure fails to capture the complex patterns and inequalities in early childbearing that occur within countries, as well as the differing contexts in which these pregnancies occur. Further disaggregated data that examine patterns and trends for different groups are needed to enable programmes to be focused on those most at risk. This paper describes a comprehensive analysis of adolescent first births using disaggregated data from Demographic and Household surveys (DHS) for three East African countries: Uganda, Kenya and Tanzania. The study initially produces cross-sectional descriptive data on adolescent motherhood by age (under 16, 16-17 and 18-19 years), marital status, wealth, education, state or region, urban/rural residence and religion. Trends for two or more surveys over a period of 18-23 years are then analysed, and again disaggregated by age, wealth, urban/rural residence and marital status to ascertain which groups within the population have benefited most from reductions in adolescent first birth. In order to adjust for confounding factors we also use multinomial logistic regression to analyse the social and economic determinants of adolescent first birth, with outcomes again divided by age. In all three countries, a significant proportion of women gave birth before age 16 (7%-12%). Both the bivariate analysis and logistic regression show that adolescent motherhood is strongly associated with poverty and lack of education/literacy, and this relationship is strongest among births within the youngest age group (<16 years). There are also marked differences by region, religion and urban/rural residence. Trends over time show there has been limited progress in reducing adolescent first births overall, with no reductions among the poorest. Adolescent first births, particularly at the youngest ages, are most common among the poorest and least educated, and progress in reducing rates within this group has not been made over the last few decades. Disaggregating data allows such patterns to be understood, and enables efforts to be better directed where needed.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 <1%
Unknown 296 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 20%
Student > Bachelor 33 11%
Lecturer 32 11%
Student > Ph. D. Student 29 10%
Researcher 27 9%
Other 58 20%
Unknown 58 20%
Readers by discipline Count As %
Nursing and Health Professions 70 24%
Medicine and Dentistry 54 18%
Social Sciences 50 17%
Agricultural and Biological Sciences 7 2%
Mathematics 6 2%
Other 38 13%
Unknown 72 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2016.
All research outputs
#1,900,555
of 14,572,831 outputs
Outputs from Reproductive Health
#218
of 983 outputs
Outputs of similar age
#34,599
of 214,929 outputs
Outputs of similar age from Reproductive Health
#2
of 2 outputs
Altmetric has tracked 14,572,831 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 983 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 214,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.