Evidence map›Paper›PMID 26497903›Full record

ArticleBMC public health2015

Understanding the complex determinants of height and adiposity in disadvantaged daycare preschoolers in Salvador, NE Brazil through structural equation modelling.

Rebecca L Lander, Sheila M Williams, Hugo Costa-Ribeiro, Angela P Mattos, Danile L Barreto, Lisa A Houghton, Karl B Bailey, Alastair G Lander, Rosalind S Gibson

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Rebecca L LanderDepartment of Human Nutrition, University of Otago, PO Box 56, Dunedin, 9015, New Zealand. Rebecca.Lander@ucdenver.edu.
Sheila M WilliamsDepartment of Preventive and Social Medicine, University of Otago, PO Box 56, Dunedin, New Zealand. Sheila.Williams@otago.ac.nz.
Hugo Costa-RibeiroHospital Universitario Professor Edgard Santos, Fima Lifshitz Research Unit, Salvador, Bahia, Brazil. hugocrj@gmail.com.
Angela P MattosHospital Universitario Professor Edgard Santos, Fima Lifshitz Research Unit, Salvador, Bahia, Brazil. mattosangela@gmail.com.
Danile L BarretoHospital Universitario Professor Edgard Santos, Fima Lifshitz Research Unit, Salvador, Bahia, Brazil. danile_leal@yahoo.com.br.
Lisa A HoughtonDepartment of Human Nutrition, University of Otago, PO Box 56, Dunedin, 9015, New Zealand. Lisa.Houghton@otago.ac.nz.
Karl B BaileyDepartment of Human Nutrition, University of Otago, PO Box 56, Dunedin, 9015, New Zealand. Karl.Bailey@otago.ac.nz.
Alastair G LanderDepartment of Human Nutrition, University of Otago, PO Box 56, Dunedin, 9015, New Zealand. alastair.lander@gmail.com.
Rosalind S GibsonDepartment of Human Nutrition, University of Otago, PO Box 56, Dunedin, 9015, New Zealand. Rosalind.Gibson@otago.ac.nz.
University of Otago · NZComplexo Hospitalar Universitário Professor Edgard Santos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarlier we reported on growth and adiposity in a cross-sectional study of disadvantaged Brazilian preschoolers. Here we extend the work on these children, using structural equation modelling (SEM) to gather information on the complex relationships between the variables influencing height and adiposity. We hope this information will help improve the design and effectiveness of future interventions for preschoolers.

methodsIn 376 preschoolers aged 3-6 years attending seven philanthropic daycares in Salvador, we used SEM to examine direct and indirect relationships among biological (sex, ethnicity, birth order, maternal height and weight), socio-economic, micronutrient (haemoglobin, serum selenium and zinc), and environmental (helminths, de-worming) variables on height and adiposity, as reflected by Z-scores for height-for-age (HAZ) and body mass index (BMIZ).

resultsOf the children, 11 % had HAZ < -1, 15 % had WHZ < -1, and 14 % had BMIZ > 1. Of their mothers, 8 % had short stature, and 50 % were overweight or obese. Based on standardized regression coefficients, significant direct effects (p < 0.05) for HAZ were maternal height (0.39), being white (-0.07), having helminth infection (-0.09), and serum zinc (-0.11). For BMIZ, significant direct effects were maternal weight (0.21), extremely low SES (-0.15), and haemoglobin (0.14). Indirect (p < 0.05) effects for HAZ were sex (being male) (-0.02), helminth infection (-0.01), de-worming treatment (0.01), and serum selenium (-0.02), and for BMIZ were extremely low SES (-0.001), helminth infection (-0.004), and serum selenium (0.02).

conclusionsOf the multiple factors influencing preschoolers' growth, helminth infection was a modifiable risk factor directly and indirectly affecting HAZ and BMIZ, respectively. Hence the WHO de-worming recommendation should include preschoolers living in at-risk environments as well as school-aged children.

Indexed as

AdiposityBody HeightBody Mass IndexSocial ClassVulnerable PopulationsAnimalsBrazilChildChild, PreschoolCross-Sectional StudiesEnvironmentEthnicityFemaleGrowth DisordersHelminthsHemoglobinsHemoglobinsTrace Elements

Identifiers

PMID26497903
PMCPMC4619544
OpenAlexW1853918067

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.