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Updated: May 9, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Association between obesity and neurodevelopmental delay risk in children under five years: A study from Tumbes, Peru
Miriam Arredondo-Nontol1,2, Rodolfo Arredondo-Nontol1,2, Narcisa Reto1,3
1Hospital Carlos Alberto Cortez Jimenez Essalud Tumbes, Tumbes, Peru.
Insights
Childhood obesity increases neurodevelopmental delay risk in children under five. A new nomogram aids early risk identification in primary care settings.
Area of Science:
- Pediatric Public Health
- Developmental Pediatrics
- Global Health
Background:
- Childhood obesity presents a growing public health challenge in low- and middle-income countries.
- Early neurodevelopmental vulnerability may be linked to childhood obesity, but data from Latin America is scarce.
Purpose of the Study:
- To assess the association between childhood obesity and neurodevelopmental delay risk in Peruvian children under five.
- To create a predictive nomogram for estimating this risk in primary care.
Main Methods:
- An analytical cross-sectional study involved 431 children aged 0-59 months in Tumbes, Peru.
- Neurodevelopment was evaluated using the Evaluación del Desarrollo Infantil (EDI); obesity was defined by WHO standards.
- Ordinal logistic regression identified risk factors, and a nomogram was developed and validated.
Main Results:
- Childhood obesity was independently associated with a 2.73 times higher odds of neurodevelopmental delay risk.
- Male sex and older age increased risk; caregiver knowledge of feeding was protective.
- Anemia and physical activity were not significant independent factors in the final model.
Conclusions:
- Childhood obesity is a significant risk factor for neurodevelopmental delay in young children.
- A nomogram utilizing routine data can assist in early risk stratification in primary care.
- External validation is recommended for wider clinical application.
Background:
Childhood obesity is an emerging public health concern in low- and middle-income countries and may be associated with early neurodevelopmental vulnerability. Evidence on this association during early childhood remains limited, particularly in Latin American settings.
Objective:
To evaluate the association between childhood obesity and neurodevelopmental delay risk in children under five years of age attending public healthcare facilities in Tumbes, Peru, and to develop a multivariable nomogram for probabilistic risk estimation.
Methods:
An analytical cross-sectional study was conducted between 2022 and 2024 among children aged 0-59 months receiving care at two EsSalud healthcare facilities in Tumbes. Neurodevelopment was assessed using the Evaluación del Desarrollo Infantil (EDI), classifying children as having normal development, developmental lag, or being at risk of developmental delay. Childhood obesity was defined using WHO weight-for-height standards. Sociodemographic, clinical, and behavioral variables were collected. Associations were evaluated using proportional odds ordinal logistic regression guided by a directed acyclic graph. A nomogram was developed based on the final model and internally validated using bootstrap resampling (1,000 iterations).
Results:
The final analytical sample included 431 children; 27% were classified as obese and 19% had anemia. According to the EDI, 58% had normal development, 36% developmental lag, and 6% were at risk of developmental delay. Childhood obesity was independently associated with higher cumulative odds of neurodevelopmental delay risk (OR = 2.73; 95% CI: 1.66-4.51). Male sex and older age group were also associated with increased risk, while higher caregiver knowledge of complementary feeding showed a protective association. Physical activity compliance and anemia were not independently associated in the multivariable model. The nomogram demonstrated acceptable internal discrimination (AUC > 0.7).
Conclusions:
Childhood obesity was associated with increased neurodevelopmental delay risk in children under five years of age. An explanation-informed nomogram using routinely available variables may support early risk stratification in primary care, although external validation is required before broader implementation.
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