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Nutrients ; 13(8)2021 Jul 25.
Article in English | MEDLINE | ID: mdl-34444697

ABSTRACT

BACKGROUND: The study aimed to define the burden and underlying risk factors of malnutrition among children with cerebral palsy (CP) in Gorkha district, Nepal. METHODS: The first population-based register of children with CP in Gorkha, Nepal (i.e., Nepal CP Register-NCPR) was established in 2018. Children aged <18 years with confirmed CP were registered following standard protocol. Nutritional status was determined based on anthropometric measurements (height/length, weight, mid-upper-arm-circumference) following WHO guidelines. Descriptive analyses and adjusted logistic regression were completed. RESULTS: Between June-October 2018, 182 children with CP were registered into the NCPR (mean (SD) age at assessment: 10.3 (5.0) years, 37.4% female). Overall, 51.7%, 64.1%, and 29.3% children were underweight, stunted, and thin, respectively. Furthermore, 14.3% of children with CP aged <5 years had severe wasting. Underweight and stunting were significantly higher among children with spastic CP (p = 0.02, p < 0.001) and/or Gross Motor Function Classification System (GMFCS) level (III-V) (p = 0.01, p < 0.001) and/or who were not enrolled in school (p = 0.01, p < 0.001). In adjusted analysis, GMFCS level III-V and non-attendance to school significantly increased the odds of stunting by 8.2 (95% CI 1.6, 40.8) and 4.0 (95% CI 1.2, 13.2) times, respectively. CONCLUSIONS: the high rate of different forms of undernutrition among children with CP in Gorkha, Nepal is concerning. Need-based intervention should be taken as priority to improve their nutritional outcome.


Subject(s)
Cerebral Palsy/physiopathology , Child Nutrition Disorders/epidemiology , Growth Disorders/epidemiology , Nutritional Status , Thinness/epidemiology , Adolescent , Anthropometry , Cerebral Palsy/complications , Child , Child Nutrition Disorders/etiology , Child, Preschool , Female , Growth Disorders/etiology , Humans , Logistic Models , Male , Nepal/epidemiology , Nutrition Assessment , Registries , Risk Factors , Severity of Illness Index , Thinness/etiology
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