The Relationship between Body Mass Index and Cranial Index in Early Childhood: An Observational Study in Abraka, Nigeria

Aims: In pediatric studies, Body Mass Index (BMI) and Cranial Index (CI) are widely used indices for growth tracking and nutritional evaluation. Although each of these metrics have been extensively investigated independently, their interrelationship in early childhood is poorly studied, especially in sub-Saharan Africa where baseline data appears to be limited. The aim of this study therefore is to investigate the relationship between BMI and CI among children aged 1–5 years in Abraka, and to examine sex-related differences in measured parameters. Study Design: Quantitative, cross-sectional observational study design. Place and Duration of Study: Delsu Nursery and Primary School, Abraka Model School, Great Beginners Montessori School. Between January 2025 and August 2025. Methodology: 500 children (250 male and 250 female participants; aged 1–5 years) were recruited into the study by stratified random sampling. Weight and height were measured using a digital body tracker to calculate BMI, while cranial length and breadth were measured with spreading calipers to derive CI. Data were analyzed using SPSS v.25. Descriptive statistics summarized the data, independent-samples t-tests assessed sex differences, and Pearson’s correlation coefficient evaluated associations between BMI and CI. A P-value ≤ 0.05 was considered statistically significant. Results: Analyzed data revealed no statistically significant correlation between BMI and CI (r = 0.035, P = .437). Sex-related differences in BMI were also not statistically significant (P = 0.078). However, non-random differences in CI between sexes were evident indicating sexual dimorphism in cranial morphology within the studied age group (obtained P-value: 0.009). Distribution of cranial types revealed a predominance of mesocephaly (50%), followed by brachycephaly (26%) and dolichocephaly (24%), patterns that are consistent with reports from comparable pediatric populations. Conclusion: The absence of a significant correlation between BMI and CI in early childhood suggests that nutritional status and craniofacial morphology may develop independently during this stage of growth. The predominance of mesocephaly provides baseline craniofacial data for Nigerian pediatric populations, underscoring the need for multicenter studies.

Authors

Institutions

Publication Details

Journal
Asian Journal of Biology
Published
2025-10-13
DOI
https://doi.org/10.9734/ajob/2025/v21i10563
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Relationship between Body Mass Index and Cranial Index in Early Childhood: An Observational Study in Abraka, Nigeria

Vincent-Junior Onoriode Igben, Wisdom Ikpama, Enaohwo Taniyohwo Mamerhi, Jeremiah Ogheneyole et al.
Asian Journal of Biology
Birth, Development, and Health
article

The Relationship between Body Mass Index and Cranial Index in Early Childhood: An Observational Study in Abraka, Nigeria

Vincent-Junior Onoriode Igben, Wisdom Ikpama, Enaohwo Taniyohwo Mamerhi, Jeremiah Ogheneyole, Ifada Ufuomaoghene, Sunday Isioma Sarah
article en

Abstract

Aims: In pediatric studies, Body Mass Index (BMI) and Cranial Index (CI) are widely used indices for growth tracking and nutritional evaluation. Although each of these metrics have been extensively investigated independently, their interrelationship in early childhood is poorly studied, especially in sub-Saharan Africa where baseline data appears to be limited. The aim of this study therefore is to investigate the relationship between BMI and CI among children aged 1–5 years in Abraka, and to examine sex-related differences in measured parameters. Study Design: Quantitative, cross-sectional observational study design. Place and Duration of Study: Delsu Nursery and Primary School, Abraka Model School, Great Beginners Montessori School. Between January 2025 and August 2025. Methodology: 500 children (250 male and 250 female participants; aged 1–5 years) were recruited into the study by stratified random sampling. Weight and height were measured using a digital body tracker to calculate BMI, while cranial length and breadth were measured with spreading calipers to derive CI. Data were analyzed using SPSS v.25. Descriptive statistics summarized the data, independent-samples t-tests assessed sex differences, and Pearson’s correlation coefficient evaluated associations between BMI and CI. A P-value ≤ 0.05 was considered statistically significant. Results: Analyzed data revealed no statistically significant correlation between BMI and CI (r = 0.035, P = .437). Sex-related differences in BMI were also not statistically significant (P = 0.078). However, non-random differences in CI between sexes were evident indicating sexual dimorphism in cranial morphology within the studied age group (obtained P-value: 0.009). Distribution of cranial types revealed a predominance of mesocephaly (50%), followed by brachycephaly (26%) and dolichocephaly (24%), patterns that are consistent with reports from comparable pediatric populations. Conclusion: The absence of a significant correlation between BMI and CI in early childhood suggests that nutritional status and craniofacial morphology may develop independently during this stage of growth. The predominance of mesocephaly provides baseline craniofacial data for Nigerian pediatric populations, underscoring the need for multicenter studies.

Asian Journal of BiologyVol. 21(10)
Delta State University (NG)
Openalex Percentile: Top 59%
Birth, Development, and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.