Nutrition imbalance in Chinese chronic kidney disease children
| Autor: | Yeping Jiang, Ke Wang, Yuting Lai, Ying Shen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Adolescent 030232 urology & nephrology Diagnosis tool Nutritional Status Overweight 03 medical and health sciences 0302 clinical medicine Asian People Internal medicine Electric Impedance Obese group medicine Humans 030212 general & internal medicine Renal Insufficiency Chronic Child Anthropometry business.industry medicine.disease Nutrition Disorders Bioimpedance Analysis Child Preschool Pediatrics Perinatology and Child Health Body Composition Female Underweight medicine.symptom business Body mass index Kidney disease |
| Zdroj: | Pediatrics International. 60:849-854 |
| ISSN: | 1328-8067 |
| DOI: | 10.1111/ped.13642 |
| Popis: | Background Nutrition imbalance is common in chronic kidney disease (CKD) children. This study evaluated the nutrition status of CKD children at different stages using bioimpedance analysis (BIA) compared with anthropometry. Methods Fifty-five CKD children at stages III, IV, V and 19 age- and sex-matched healthy controls were recruited. Fat, protein and mineral composition on BIA were analyzed together with anthropometry for height, weight and body mass index (BMI). Biochemistry was also checked in CKD children. Results Of the CKD children, 23.6%, 10.9% and 56.3% were underweight, overweight/obese and stunted, respectively. On BIA, 52.7%, 70.9%, 14.5% and 40.0% of the CKD children had protein reduction, fat reduction, fat enhancement and mineral reduction, respectively. Growth retardation and nutrition reduction became remarkable at stages IV and V. Approximately 65% of healthy-weight children had nutrition reduction. In the underweight and healthy-weight groups, fat reduction rates were higher than protein reduction rate. In the overweight/obese group, fat enhancement was most notable. Mineral reduction was less remarkable. Conclusions The nutrition imbalance in CKD children on BIA correlated well with anthropometry and disease process, supporting BIA as an auxiliary diagnosis tool. |
| Databáze: | OpenAIRE |
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