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|Title: ||The assessment and prediction of malnutrition in children suffering from cancer in Ghana|
|Authors: ||Apprey, Charles|
Annan, Reginald A.
Arthur, Fareed K. N.
Boateng, Samuel K.
|Keywords: ||Burkitt's lymphoma|
Body mass index
|Issue Date: ||2014|
|Publisher: ||European Journal of Experimental Biology|
|Citation: ||European Journal of Experimental Biology, 2014, 4(4):31-37|
|Abstract: ||Childhood cancers such as Burkitt’s lymphoma (BL) and Wilms Tumour (WT) are common in Africa. In Ghana, the
nutritional status of children with cancers is largely unknown although for most cancers, each step of the continuum
from diagnosis to recovery, including chemotherapy, poses nutritional challenges. The study compared
thenutritional status of sixty-four children: 32 with BL or WT at a major teaching hospital and 32 age- and sexmatched
non-cancer controls in a nearby community, anddetermined the best predictor of malnutrition using 3-day
repeated 24-hour dietary recalls, anthropometrics, physical and clinical signs of malnutrition, and biochemical
indicators. With the exception of height, the cancer children had significantly lower weight (18.7 versus 27.4 kg),
Mid Upper Arm Circumference (MUAC) (14.1 versus 17.8 cm), Triceps skinfold (TSF)(4.9 versus 6.1 cm), Muscle
Arm Circumference (MAC) (12.4 versus 1.8 cm) and Body Mass Index (BMI) (14.6 versus 18.4 kg/m2), and higher
levelsof malnutrition by all indicators: wasting=31%, underweight=34% and stunting=51%) compared to the noncancer
controls (wasting=8%, underweight=7% and stunting=43%).Among the cancer children 40% showed
physical signs of wasting, 15% oedematous and 40% low haemoglobin (Hb). Food and nutrients intake were similar
between the two groups.The cancer group had significantly lower levelsof glutathione (p=0.003) and prealbumin
(p< 0.0001) than their non-cancer counterparts. The best biochemical and anthropometric predictors for
malnutrition were Hb and MAC respectively. The findings suggest a high prevalence of malnutrition among
childhood cancer sufferers and that the traditional nutritional indicators are able toaccurately predict malnutrition
among cancer children in resource limited settings.|
|Description: ||An article published by European Journal of Experimental Biology, 2014, 4(4):31-37;|
|Appears in Collections:||College of Science|
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