Evidence map›Paper›PMID 34663262›Full record

ArticleBMC public health2021

Proximate and distal factors associated with the stall in the decline of adolescent pregnancy in Uganda.

Catherine Mbabazi, Alexander Kintu, John Bosco Asiimwe, John S Ssekamatte, Iqbal Shah, David Canning

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Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Catherine MbabaziDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA. cngorok@yahoo.co.uk.
Alexander KintuDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
John Bosco AsiimweSchool of Statistics and Planning, Makerere University, Kampala, Uganda.
John S SsekamatteNational Planning Authority, Kampala, Uganda.
Iqbal ShahDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
David CanningDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescent pregnancy in Uganda declined from 31% in 2000-01 to 25% in 2006 but thereafter stalled at 25% from 2006 to 2016. This paper investigates the factors associated with the recent stall in the rate of decline of adolescent pregnancy in Uganda.

methodsWe used logistic regression models for 4 years (2000-01, 2006, 2011 and 2016) of data from the Uganda Demographic Health Survey to explore proximate and distal factors of adolescent pregnancy in Uganda. We carried out Blinder-Oaxaca decomposition models to explore the contributions of different factors in explaining the observed decline in adolescent pregnancy between 2001 and 2006, and the subsequent stall between 2006 and 2016.

resultsWe found that marriage among women aged 15-19 years, and early sexual debut, were strongly associated with adolescent pregnancy. These declined substantially between 2000 and 01 and 2006, leading to a decline in adolescent pregnancy. Their decline was in turn associated with rising levels of female education and household wealth. After 2006, education levels and household wealth gains stalled, with associated stalls in the decline of marriage among women aged 15-19 years and sexual debut, and a stall in the decline of adolescent pregnancy.

conclusionsThe stall in the decline of adolescent pregnancies in Uganda was linked to a stall in the reduction of adolescent marriage, which in turn was associated with limited progress in female educational attainment between 2006 and 2016. We emphasize the need for a renewed focus on girl's education and poverty reduction to reduce adolescent pregnancy in Uganda and subsequently improve health outcomes for adolescent girls.

Indexed as

Pregnancy in AdolescenceAdolescentFemaleHumansMarriagePovertyPregnancySexual BehaviorSocioeconomic FactorsUgandaAdolescent pregnancyEducation attainmentFertility determinantsSexual debutUganda

Identifiers

PMID34663262
PMCPMC8522069

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.