Children with cerebral palsy are at increased risk of malnutrition due to motor impairment, feeding difficulties, and chronic health problems. Accurate assessment of nutritional status in this population can be challenging, particularly when standard anthropometric measurements are difficult to obtain. This observational study aims to evaluate nutritional status in children with cerebral palsy using the mid-upper arm circumference Z-score (MUACZ) and to examine its relationship with functional severity levels. Anthropometric measurements and clinical data will be collected during routine outpatient visits. Nutritional status will be classified using predefined reference standards, and associations with motor and feeding function classifications will be analyzed. The findings of this study are expected to contribute to a better understanding of practical approaches for nutritional assessment in children with cerebral palsy across different ages and functional levels.
Cerebral palsy is a non-progressive neurodevelopmental condition frequently associated with motor dysfunction, feeding difficulties, and impaired growth. Malnutrition remains a common and clinically important comorbidity in children with cerebral palsy and is associated with adverse health outcomes, including increased susceptibility to infections, reduced muscle strength, and diminished quality of life. Despite its clinical relevance, accurate nutritional assessment in this population is often complicated by postural limitations, contractures, and difficulties in obtaining reliable weight and height measurements. This cross-sectional, observational study is designed to assess nutritional status in children with cerebral palsy using anthropometric indicators, with a particular focus on the mid-upper arm circumference Z-score (MUACZ). MUACZ is derived from age- and sex-adjusted reference standards and can be obtained with minimal equipment, making it potentially suitable for use across a wide range of functional severity levels. The study will include pediatric patients with a confirmed diagnosis of cerebral palsy who attend routine follow-up visits at a tertiary care center. Anthropometric measurements, including mid-upper arm circumference, body mass index-for-age, and height-for-age Z-scores, will be recorded according to standardized procedures. Functional severity will be classified using the Gross Motor Function Classification System (GMFCS) and the Eating and Drinking Ability Classification System (EDACS). Nutritional status will be categorized based on predefined Z-score thresholds. Statistical analyses will examine the distribution of nutritional status across functional severity levels and evaluate the performance of MUACZ in identifying undernutrition using established cutoff values. All analyses will be conducted using appropriate statistical software, and the study will adhere to relevant ethical standards, with informed consent obtained from parents or legal guardians. This study does not involve any intervention or alteration of standard clinical care. Data are collected solely for observational and analytical purposes.
Study Type
OBSERVATIONAL
Enrollment
84
Muğla Sıtkı Koçman Research and Training Hospital
Menteşe, Muğla, Turkey (Türkiye)
Prevalence of undernutrition in children with cerebral palsy
Undernutrition status will be determined using predefined anthropometric Z-score criteria. Undernutrition is defined as the presence of wasting (body mass index-for-age Z-score ≤ -2) and/or stunting (height-for-age Z-score ≤ -2), based on standardized growth references.
Time frame: At study enrollment (single assessment during routine outpatient visit).
Distribution of nutritional status across functional severity levels
The distribution of undernutrition will be evaluated across functional severity categories as defined by the Gross Motor Function Classification System (GMFCS) and the Eating and Drinking Ability Classification System (EDACS).
Time frame: At study enrollment.
Association between MUACZ and functional severity classifications
The relationship between mid-upper arm circumference Z-score (MUACZ) values and functional severity levels (GMFCS and EDACS) will be analyzed using appropriate statistical methods.
Time frame: At study enrollment.
Performance of MUACZ in identifying undernutrition
The ability of MUACZ to identify undernutrition will be evaluated using receiver operating characteristic analysis with a predefined cutoff value (≤ -2).
Time frame: At study enrollment.
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