Evidence map›Paper›PMID 29540251›Full record

ArticlePublic health nutrition2018

The influence of stunting on obesity in adulthood: results from the EPIPorto cohort.

Ana Henriques, Vânia Teixeira, Hugo Fv Cardoso, Ana Azevedo

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Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

The trial behind it

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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

8 citing papers in PubMed.

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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.

Ana Henriques1ISPUP-EPIUnit,Universidade do Porto,Rua das Taipas nº 135,Porto 4050-600,Portugal.ORCID 0000-0001-9484-1887
Vânia Teixeira2Unidade de Cuidados Continuados,Hospital Escola - Fundação Fernando Pessoa,Gondomar,Portugal.
Hugo Fv Cardoso3Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina,Universidade do Porto,Porto,Portugal.
Ana Azevedo1ISPUP-EPIUnit,Universidade do Porto,Rua das Taipas nº 135,Porto 4050-600,Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo retrospectively investigate the association between short stature and increased sitting height ratio (SHR) - indicators of stunting - and obesity markers in adults.

designCross-sectional evaluation of the EPIPorto cohort. Weight, height, sitting height and waist circumference were measured. Obesity was assessed for men and women through BMI and waist-to-height ratio (WHtR). Short stature (women, <152 cm; men, <164 cm) and high SHR (women, ≥54·05 %; men, ≥53·25 %) were taken as stunting measures. OR with 95 % CI were computed using logistic regression models.

settingRepresentative sample of adults from EPIPorto, an adult cohort study from Porto, Portugal. SUBJECTS: A sample of 1682 adults, aged 18-86 years, was analysed.

resultsHigher obesity prevalence was found among women (BMI≥30·0 kg/m2: 25·5 v. 13·3 %, P<0·001) and a higher proportion of men presented abdominal obesity (WHtR≥0·5: 80·1 v. 71·1 %, P<0·001). A positive association was found between short stature and obesity measures for women (multivariate-adjusted OR; 95 % CI: 1·75; 1·17, 2·62 for BMI≥30·0 kg/m2; 1·89; 1·24, 2·87 for WHtR≥0·5). Increased SHR was associated with higher likelihood of having BMI≥30·0 kg/m2 in both sexes (multivariate-adjusted OR; 95 % CI: 2·10; 1·40, 3·16 for women; 1·92; 1·07, 3·43 for men) but not with WHtR≥0·5.

conclusionsDifferent growth markers are associated with obesity in adults. However, this association depends on the population and anthropometric measures used: short stature is associated with a higher risk of presenting excessive weight in women but not in men; SHR is more sensitive to detect this effect in both sexes.

Indexed as

AdolescentAdultAgedAged, 80 and overBody HeightBody Mass IndexCross-Sectional StudiesFemaleGrowth DisordersHumansMaleMiddle AgedObesityPortugalRetrospective StudiesRisk FactorsAdulthoodIncreased sitting height ratioObesityShort stature

Identifiers

PMID29540251
PMCPMC10260921

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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.