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.
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.
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5 citing papers in PubMed.
- Spatial variability in the association of ambient PMEnvironment international · 2026Article
- Prevalence and factors associated with food insecurity in indigenous families in the state of Alagoas (Northeast Brazil): a population-based cross-sectional study.Frontiers in public health · 2025Article
- The risk to child nutrition during and after COVID-19 pandemic: what to expect and how to respond.Public health nutrition · 2021Review
- Prevalence of endothelial nitric oxide synthase (ENOS) gene G894T polymorphism and its association with hypertension: a population-based study with Brazilian women.Archives of medical sciences. Atherosclerotic diseases · 2019Article
- Associations between anthropometric measures and cardiovascular risk biomarkers in women with short stature.JRSM cardiovascular diseaseArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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