Evidence map›Paper›PMID 30288074›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2018

Developmental origins of health and disease: a new approach for the identification of adults who suffered undernutrition in early life.

Haroldo da Silva Ferreira, Antonio Fernando Silva Xavier Junior, Monica Lopes Assunção, Tainá Cardoso Caminha Uchôa, Abel Barbosa Lira-Neto, Ricardo Paulino Nakano

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2018. 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
–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

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Haroldo da Silva FerreiraFaculty of Nutrition, Federal University of Alagoas, Maceió, Alagoas, Brazil, haroldo.ufal@gmail.com.
Antonio Fernando Silva Xavier JuniorPost-graduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Monica Lopes AssunçãoFaculty of Nutrition, Federal University of Alagoas, Maceió, Alagoas, Brazil, haroldo.ufal@gmail.com.
Tainá Cardoso Caminha UchôaPost-graduate Program in Nutrition, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Abel Barbosa Lira-NetoPost-graduate Program in Health Sciences, Federal University of Alagoas, Maceió, Alagoas, Brazil.
Ricardo Paulino NakanoPost-graduate Program in Nutrition, Federal University of Alagoas, Maceió, Alagoas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUndernutrition in early life (UELife) is a condition associated with greater occurrence of chronic diseases in adulthood. Some studies on this relationship have used short stature as indicator of UELife. However, other non-nutritional factors can also determine short stature. Depending on the severity of UELife, the human body reacts primarily compromising weight and length gain, but prioritizing brain growth, resulting in disproportionate individuals. Based on this premise, this study aimed to validate a new anthropometric indicator of UELife.

designUsing stature and head circumference data from a probabilistic sample of 3,109 women, the Head-to-Height Index was calculated: HHI = (head × 2.898)/height. A HHI >1.028 (75th percentile) was the best cutoff for predicting obesity (best balance between sensitivity/ specificity, largest area under the receiver operating characteristic curve, and highest correlation coefficient) and was used to define the condition of body disproportionality. The strength of associations with several outcomes was tested for both disproportionality and short stature (height ≤25th percentile: 153.1 cm).

resultsIn adjusted analysis for confounding factors (age, smoking, and education level), the strength of the associations between body disproportionality and the analyzed outcomes was greater than that observed when short stature was used. Respectively, the observed prevalence ratios (95% CI) were (

conclusionBody disproportionality is a more accurate indicator of UELife than short stature. While short stature may be genetically determined, a high HHI is due to metabolic adaptations to undernutrition in early life.

Indexed as

anthropometric indicescardiovascular riskdyslipidemiaepidemiological surveymetabolic risk factorsobesity

Identifiers

PMID30288074
PMCPMC6163011

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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.