| Literature DB >> 35334837 |
Carolina Pinto1,2, Rute Borrego1, Mafalda Eiró-Gomes3, Inês Casimiro3, Ana Raposo3, Teresa Folha4,5, Daniel Virella4,5, Ana Catarina Moreira1,6.
Abstract
BACKGROUND: Nutritional status assessment (NSA) can be challenging in children with cerebral palsy (CP). There are high omission rates in national surveillance reports of weight and height information. Alternative methods are used to assess nutritional status that may be unknown to the healthcare professionals (HCP) who report these children. Caregivers experience challenges when dealing with feeding problems (FP) common in CP. Our aim was to assess the difficulties in NSA which are causing this underreport and to create solutions for registers and caregivers.Entities:
Keywords: anthropometric measures; cerebral palsy; child; neurology; surveillance program; underreported data
Mesh:
Year: 2022 PMID: 35334837 PMCID: PMC8950259 DOI: 10.3390/nu14061180
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Difficulties experienced by registers and healthcare professionals and suggest strategies to improve nutritional assessment.
| Group | Difficulties Experienced | Suggested Solutions |
|---|---|---|
| Registers of the |
Lack of time Lack of collaboration with other health professionals Child’s motor impairment Lack of equipment such as scale or stadiometer |
Educational brochures/flyers Step by step descriptive manual of procedures mobile app Professional training |
| Healthcare |
Professional training Online platform to calculate the all of the equations automatically Skilled team that evaluates children all over the country Involve the community in nutritional assessment |
Figure 1Weight assessment using conventional and alternative methods.
Figure 2Height assessment using conventional and alternative methods.
Equations to estimate weight and height in children with CP.
| Weight | |||
|---|---|---|---|
| Author | Equations | Segmental Measures Needed | |
| Brunner equation [ | If GMFCS level I–III: | Estimated Weight = 2.52 × MUAC(cm) + 1.19 × age (years) − 32 | MUAC—mid upper arm circumference |
| If GMFCS level IV–V: | Estimated Weight = 2.02 × MUAC(cm) + 0.97 × age (years) − 22.5 | ||
| Height | |||
| Stevenson [ | Height = (4.35 × AL) + 21.8 | Arm length (AL) | |
| Height = (3.26 × TL) + 30.8 | Tibial length (TL) | ||
| Height = (2.69 × KH) + 24.2 | Knee height (KH) | ||
| Chumlea [ | Caucasian boys | Height = 40.54 + (2.22 × KH) | Knee height |
| African-American boys | Height = 39.60 + (2.18 × KH) | ||
| Caucasian girls | Height = 43.21 + (2.15 × KH) | ||
| African-American girls | Height = 46.59 + (2.02 × KH) | ||
| Gauld [ | Boys | Height = (4.605 × UL) + (1.308 × A) + 28.003 | Ulna lenght (UL) |
| Girls | Height = (4.459 ×UL) + (1.315 × A) + 31.485 | ||
Original Slaughter equations and corrections for children with CP.
| Slaughter’s | Sum (triceps, subscapular) ≤ 35 mm | Boys | TSC * 1 e 2 | % FM * = 1.21(TFS * + SUBF *) − 0.008(TFS + SUBF)2 − 1.7 |
| Girls | % FM = 1.33(TFS + SUBF) − 0.013(TFS + SUBF)2 − 2.5 | |||
| Sum (triceps, subscapular) > 35 mm | Boys | % FM = 0.783(TFS SUBF) + 1.6 | ||
| Girls | % FM = 0.546(TFS + SUBF) + 9.7 | |||
| Gurka’s | Additional correction for | Overall correction | +12.2 | |
* TSC, tanner stage Caucasian; TSB, tanner stage black; TFS, triceps skinfold; FM, fat mass; SUBF, subscapular skinfold; GMFCS, gross motor unction classification system.
Mid-upper arm muscle area.
| Mid-upper arm muscle area | MMA * = (MUA C * (cm) − TFS * (mm) × 3.1416)2/(4 × 3.1416) |
* MMA, upper arm muscle area; MUAC, mid-upper arm circumference; TFS, triceps skinfold.