Factors Associated with Body Mass Index in Children with Acute Leukemia: A Cross-sectional Study View PDF

Faiz Hussien Ali
Medicine, Ministry Of Health, Basra Health Directorate, Al-Madinah General Hospital, Basrah, Iraq
Haider M. Abdulhussein
Medicine, Ministry Of Health, Basra Health Directorate, Al-Madinah General Hospital, Basrah, Iraq
Abbas Ali A. Alkinani
Medicine, Community Medicine And Public Health Department, Ministry Of Health, Wasit Health Directorate, Kut, Iraq
Ahmed Azeez Hasan
Medicine, 2Community Medicine And Public Health Department, Ministry Of Health, Wasit Health Directorate, Kut, Iraq

Published on: 2026-03-13

Abstract

Acute leukemia is the most common childhood malignancy, and nutritional status plays a critical role in treatment outcomes and survival. Children with leukemia frequently experience nutritional complications due to the disease itself and the intensive chemotherapy regimens required for treatment. This study aimed to assess the nutritional status of children with acute leukemia by evaluating body mass index (BMI) and identifying associated sociodemographic and clinical factors. A cross-sectional study was conducted on 60 children aged 1 - 6 years diagnosed with acute leukemia. Sociodemographic data, clinical characteristics, and anthropometric measurements were collected. BMI z-scores were calculated using World Health Organization (WHO) growth standards. Statistical analyses included descriptive statistics, one-way analysis of variance (ANOVA), and independent t-tests to examine associations between BMI z-scores and various factors. The mean age was 44.56 months (Standard deviation (SD) = 15.16). Acute lymphoblastic leukemia (ALL) was diagnosed with 75% of participants. Nutritional status varied considerably: 21.7% were underweight, 43.3% had healthy weight, 15% were at risk of being overweight, and 20% were overweight/obese. The mean BMI z-score was -0.079 (SD = 2.52). Age group was significantly associated with BMI z-score (p = 0.012), with younger children showing higher z-scores. No significant associations were found with gender, residence, parental education, socioeconomic status (SES), or leukemia type. Only 10% of children received nutritionist followup. Children with acute leukemia demonstrate diverse nutritional profiles, with both undernutrition and overnutrition present. Age-related differences in nutritional status warrant attention in clinical management and nutritional support programs.

Keywords

Acute leukemia, Pediatric oncology, Nutritional status, Body mass index, Malnutrition

Introduction

Acute leukemia represents the most prevalent malignancy in childhood, accounting for approximately 30% of all pediatric cancers worldwide [1, 2]. ALL is the most common subtype, comprising about 75-80% of childhood leukemia cases, followed by acute myeloid leukemia (AML) [3, 4]. Over recent decades, remarkable advances in treatment protocols have dramatically improved survival rates, with five-year survival now exceeding 85% for ALL in developed countries [5, 6]. However, this success brings increased attention to treatment-related complications and quality of life issues, including nutritional challenges.

Nutritional status is a critical determinant of treatment tolerance, infection risk, and overall prognosis in pediatric oncology patients [7, 8]. Children with acute leukemia face multiple nutritional challenges stemming from both the disease process and its treatment. The malignancy itself can cause anorexia, alter metabolism, and increase nutritional demands [9, 10]. Chemotherapy regimens, while lifesaving, frequently induce adverse effects including nausea, vomiting, mucositis, taste alterations, and gastrointestinal dysfunction, all of which compromise nutritional intake [11, 12]. Additionally, corticosteroids used in treatment protocols can profoundly affect appetite and body composition [13].

The nutritional consequences in pediatric leukemia patients are heterogeneous. While malnutrition and weight loss are commonly recognized complications [14, 15], recent evidence indicates that overweight and obesity are increasingly prevalent in this population, particularly in developed nations [16, 17]. This paradoxical observation may relate to corticosteroid therapy, reduced physical activity during treatment, and changes in dietary patterns [18, 19]. Both undernutrition and overnutrition carry significant clinical implications: malnutrition is associated with increased infection rates, treatment interruptions, and reduced survival [20, 21], whereas obesity may be linked to altered drug pharmacokinetics, increased relapse risk, and long-term metabolic complications [22, 23].

BMI serves as a practical and widely used tool for nutritional assessment in pediatric populations [24]. BMI z-scores, which account for age and sex-specific growth patterns, enable standardized evaluation of nutritional status across different age groups [25]. The WHO growth standards provide internationally recognized reference values for interpreting BMI in children [26].

Despite the recognized importance of nutrition in pediatric oncology, systematic nutritional assessment and monitoring remain inconsistent in many clinical settings [27, 28]. In resource-limited environments, nutritional support services may be particularly inadequate, potentially exacerbating existing vulnerabilities [29, 30]. Understanding the prevalence and patterns of malnutrition in children with leukemia is essential for developing targeted interventional strategies and improving outcomes.

The relationship between nutritional status and various sociodemographic factors in pediatric leukemia patients remains incompletely characterized. Previous studies have suggested associations between nutritional outcomes and factors such as age, SES, parental education, and geographic location [31, 32], though findings have been inconsistent across different populations and settings.

This study was conducted to evaluate the nutritional status of children with acute leukemia through BMI assessment and to explore potential associations with sociodemographic and clinical characteristics. By identifying specific factors associated with nutritional vulnerability, this research aims to inform people about the development of more effective nutritional screening and intervention programs for this high-risk pediatric population.

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