Abstract

Introduction Obesity may be associated with poor iron status. The objective of this study was to investigate the association between different indices of iron status and anthropometric measurements in Thai children. Materials and Methods Anthropometry (weight, height, waist circumference (WC), and body composition assessed by bioelectrical impedance analysis) and iron indices were measured in 336 Thai children aged 6–12 years. Iron deficiency (ID) was defined using two or more of the following: (1) %transferrin saturation (%Tsat) < 16%; (2) serum ferritin (SF) < 15 μg/mL; and (3) soluble transferrin receptor (sTfR) > 5 mg/L. Iron deficiency anaemia (IDA) was defined as haemoglobin < WHO age cutoff combined with ID. Overweight and obesity were defined as body mass index (BMI) standard deviation score (SDS) ≥ +1 SDS or +2 SDS, respectively (WHO growth reference). Results BMI SDS was significantly positively correlated with sTfR and SF (sTfR, r: 0.209, p < 0.001; SF, r: 0.214, p < 0.001) and negatively correlated with %Tsat (r: −0.132, p = 0.013). Correlations between WC SDS and %fat mass and each iron marker were similar. The percentage with low SF was significantly lower than that using other individual markers. ID prevalence was not significantly different between normal-weight and overweight/obesity groups although a significantly higher proportion of overweight/obese children had sTfR >5 mg/L. Puberty and menarche were significant predictors of ID (puberty adjusted OR: 2.20, 95% CI: 0.43, 11.25; menarche adjusted OR: 6.11, 95% CI: 1.21, 30.94). Conclusion Greater adiposity was associated with poorer iron status. However, SF may not be a good indicator of iron status in Thai children, particularly in those who are overweight/obese, whereas sTfR merits further investigation.

Highlights

  • Obesity may be associated with poor iron status. e objective of this study was to investigate the association between different indices of iron status and anthropometric measurements in ai children

  • Anthropometry (weight, height, waist circumference (WC), and body composition assessed by bioelectrical impedance analysis) and iron indices were measured in 336 ai children aged 6–12 years

  • A cross-sectional study was performed in ai children aged 6–12.9 years. e sample size was calculated based on Muzzio et al.’s study which reported that the correlation coefficient between body mass index (BMI) standard deviation score (SDS) and serum ferritin (SF) was 0.180 with p 0.025. erefore, at least 320 children would be required to detect this correlation if the threshold probability for type I error (ꭤ) was 0.05, and the probability for type II error (β) was 0.1 [16]

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Summary

Introduction

Obesity may be associated with poor iron status. e objective of this study was to investigate the association between different indices of iron status and anthropometric measurements in ai children. Obesity may be associated with poor iron status. E objective of this study was to investigate the association between different indices of iron status and anthropometric measurements in ai children. Anthropometry (weight, height, waist circumference (WC), and body composition assessed by bioelectrical impedance analysis) and iron indices were measured in 336 ai children aged 6–12 years. Overweight and obesity were defined as body mass index (BMI) standard deviation score (SDS) ≥ +1 SDS or +2 SDS, respectively (WHO growth reference). BMI SDS was significantly positively correlated with sTfR and SF (sTfR, r: 0.209, p < 0.001; SF, r: 0.214, p < 0.001) and negatively correlated with %Tsat (r: −0.132, p 0.013). SF may not be a good indicator of iron status in ai children, in those who are overweight/obese, whereas sTfR merits further investigation

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