Evidence map›Paper›PMID 30940271›Full record

ArticlePublic health nutrition2019

Analysing child linear growth trajectories among under-5 children in two Nairobi informal settlements.

Cheikh Mbacké Faye, Sharon Fonn, Jonathan Levin, Elizabeth Kimani-Murage

Open access · hybridAbstract read
In one paragraph

Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

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  15. Growth Prediction of Under-5 Children Using Statistical Models for Eastern Region of India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Cheikh Mbacké Faye1African Population and Health Research Center,Manga Close,Off Kirawa Road,Kitisuru,PO Box 10787-00100,Nairobi,Kenya.ORCID 0000-0002-4028-0575
Sharon Fonn2University of the Witwatersrand,School of Public Health,Johannesburg Parktown,South Africa.
Jonathan Levin2University of the Witwatersrand,School of Public Health,Johannesburg Parktown,South Africa.
Elizabeth Kimani-Murage1African Population and Health Research Center,Manga Close,Off Kirawa Road,Kitisuru,PO Box 10787-00100,Nairobi,Kenya.
University of the Witwatersrand · ZAAfrican Population and Health Research Center · KE

Funding

Wellcome Trust 078530/Z/05/ZWellcome Trust 087547Wellcome Trust 107768/Z/15/Z
6 · The paper itself

Abstract

objectiveWe sought to identify factors associated with linear growth among under-5 children in two urban informal settlements in Nairobi.

designWe used longitudinal data for the period 2007-2012 from under-5 children recruited in the two sites between birth and 23 months and followed up until they reached 5 years of age. We fitted a generalized linear model on height-for-age Z-scores using the generalized estimating equations method to model linear growth trajectories among under-5 children. Known for its flexibility, the model provides strong parameter estimates and accounts for correlated observations on the same child.

settingTwo urban informal settlements in Nairobi, Kenya.ParticipantsUnder-5 children (n 1917) and their mothers (n 1679).

resultsThe findings show that child weight at birth, exclusive breast-feeding and immunization status were key determinants of linear growth among under-5 children. Additionally, maternal characteristics (mother's age, marital status) and household-level factors (socio-economic status, size of household) were significantly associated with child linear growth. There were biological differences in linear growth, as female children were more likely to grow faster than males. Finally, the model captured significant household-level effects to investigate further.

conclusionsFindings from the study point to the need to improve the targeting of child health programmes directed at the urban poor population in Nairobi. Specific modifiable determinants of child linear growth, particularly child weight at birth, exclusive breast-feeding, immunization status and mother's background characteristics, should be considered when designing interventions aiming at addressing child health inequities in these settings.

Indexed as

Child DevelopmentAdolescentAdultBody HeightChild, PreschoolFemaleGrowth DisordersHealth StatusHumansInfantInfant, NewbornKenyaLongitudinal StudiesMaleMothersPovertyChild growthNutritionSlumsStuntingSub-Saharan AfricaUrban poor

Identifiers

PMID30940271
PMCPMC6570617
OpenAlexW2934874227

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.