Validity of screening tool for the assessment of malnutrition in paediatrics in detecting malnutrition among in-patient children aged below 12 years

Authors

  • Padmini S. Karnam Department of Pediatrics, Dr. Pinnameneni Siddartha Institute of Medical Sciences and Research Foundation, Dr. NTR University of Health Sciences, Vijayawada, Andhra Pradesh, India
  • Garikipati Chandrika Dr. Pinnameneni Siddartha Institute of Medical Sciences and Research Foundation, Dr. NTR University of Health Sciences, Vijayawada, Andhra Pradesh, India
  • Sathiyanarayanan Sathiyamoorthi Department of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Guntur, Andhra Pradesh, India

DOI:

https://doi.org/10.18203/2349-3291.ijcp20251872

Keywords:

Screening tool for the assessment of malnutrition in pediatrics , Malnutrition, Risk, Validity, Screening, Pediatrics

Abstract

Background: Screening tool for the assessment of malnutrition in pediatrics (STAMP) is a reliable screening tool for the identification of malnutrition risk. This study was done to assess the validity of STAMP in detecting malnutrition as compared to World Health Organization (WHO) 2006 and Indian Academy of Pediatrics (IAP) 2015 combined growth charts.

Methods: A cross-sectional study was conducted among inpatient children aged below 12 years. STAMP assessment yields a sum to calculate the overall risk of malnutrition, which is divided into three categories: 0 to 1, low risk; 2 to 3, medium risk; ≥4, high risk. In comparison to WHO growth criteria, STAMP's sensitivity, specificity, positive and negative predictive value were computed. The sensitivity and specificity of the STAMP tool was assessed using a receiver operating characteristic (ROC) curve. To identify risk factors for malnutrition, logistic regression analyses were conducted.

Results: Out of 63 children studied, 36 (57.1%) were male and 27 (42.9%) were female. The median [interquartile range] age was 3 years [1.5, 8.0]. Children who were categorized as medium or high risk as per STAMP tool had a higher likelihood of being underweight. Regression analysis found weight for age was the most important factor associated with the risk of malnutrition with p value 0.040. The sensitivity of STAMP in detecting underweight, stunting and wasting was 95.2%, 84.6% and 81.8% respectively using ROC analysis.

Conclusions: The nutritional risk scores by STAMP are feasible and can identify children at risk of malnutrition. Future studies in outpatient settings are required to confirm these results.

Metrics

Metrics Loading ...

References

Brotherton A, Simmonds N, Stroud M. Malnutrition Matters: Meeting Quality Standards in Nutritional Care. Redditch: BAPEN. 2010.

World Health Organization (WHO). WHO child growth standards and the identification of severe acute malnutrition in infants and children: A Joint Statement by the World Health Organization and the United Nations Children’s Fund. 2009. Available at: http://www.who.int/nutrition/publications/severemalnutrition/9789241598163_eng.pdf. Accessed on 07 May 2024.

Pelletier DL, Frongillo Jr EA, Habicht JP. Epidemiological evidence for a potentiating effect of malnutrition on child mortality. Am J Public Health. 1993;83:1130-3. DOI: https://doi.org/10.2105/AJPH.83.8.1130

Bellamy C. The state of the World’s Children – Focus on Nutrition. UNICEF, New York. Oxford University Press. 1998;9.

World Health Organization. Malnutrition: key facts. 2021. Available at: https://www.who.int/news-room/questions-and-answers/item/malnutrition#:~: text=Malnutrition%20affects%20people%20in%20every,some%20150%20million%20are%20stunted. Accessed on 12 March 2025.

Maleta K. Undernutrition. Malawi Med J. 2006;18(4):189-205. DOI: https://doi.org/10.4314/mmj.v18i4.10922

Yirga AA, Mwambi HG, Ayele DG, Melesse SF. Factors affecting child malnutrition in Ethiopia. Afr Health Sci. 2019;19(2):1897-909. DOI: https://doi.org/10.4314/ahs.v19i2.13

Masoud M, Elsary A. Nutritional survey among under five children at Tamyia district in Fayoum, Egypt. Int J Community Med Public Health. 2017;9:4. DOI: https://doi.org/10.18203/2394-6040.ijcmph20172138

National Family Health Survey India (NFHS-5). (2022). Available at: http://rchiips.org/nfhs/index. shtml. Accessed on 14 March 2025.

National Institute for Health and Clinical Excellence (NICE). Guidance on the prevention, identification, assessment and management of overweight and obesity in adults and children. NICE: London. 2006.

National Institute for Health and Clinical Excellence (NICE). Nutrition support in adults: Oral nutrition support, enteral tube feeding and parenteral nutrition. NICE: London. 2006.

Department of Health. Better Hospital Food Catering Services for Children and Young adults. NHS Estate. Department of Health: London. 2003. Available at: http://www.bapen.org.uk/pdfs/bhfi/bhfi_catering.pdf. 2003. Accessed on 25 February 2025.

Mansi Y, Ghaffar SA, Sayed S, El-Karaksy H. The effect of nutritional status on outcome of hospitalization in pediatric liver disease patients. J Clin Diagn Res. 2016;10:SC01-5. DOI: https://doi.org/10.7860/JCDR/2016/21606.8956

Reber E, Gomes F, Vasiloglou MF, Schuetz P, Stanga Z. Nutritional Risk Screening and Assessment. J Clin Med. 2019;8:1065. DOI: https://doi.org/10.3390/jcm8071065

Huysentruyt K, Alliet P, Muyshont L, Rossignol R, Devreker T, Bontems P et al. The STRONG (kids) nutritional screening tool in hospitalized children: a validation study. Nutr Burbank Los Angel Cty Calif. 2013;29(11-12):1356-61. DOI: https://doi.org/10.1016/j.nut.2013.05.008

Lee YJ. Nutritional Screening Tools among Hospitalized Children: from Past and to Present. Pediatr Gastroenterol Hepatol Nutr. 2018;21(2):79-85. DOI: https://doi.org/10.5223/pghn.2018.21.2.79

Baer MT, Harris AB. Pediatric nutrition assessment: identifying children at risk. J Am Diet Assoc. 1997;97(10): S107-15. DOI: https://doi.org/10.1016/S0002-8223(97)00741-4

McCarthy H, Dixon M, Crabtree I, Eaton-Evans MJ, McNulty H. The development and evaluation of the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP©) for use by healthcare staff. J Hum Nutr Diet Off J Br Diet Assoc. 2012;25(4):311-8. DOI: https://doi.org/10.1111/j.1365-277X.2012.01234.x

Rub G, Marderfeld L, Poraz I, Hartman C, Amsel S, Rosenbaum I, et al. Validation of a Nutritional Screening Tool for Ambulatory Use in Pediatrics. J Pediatr Gastroenterol Nutr. 2016;62(5):771-5. DOI: https://doi.org/10.1097/MPG.0000000000001046

Parekh BJ, Khadilkar V. Paediatrician friendly IAP Growth Charts for 0-18 years. Indian Academy of Pediatrics. Available at: https://iapindia.org/pdf/ 4422_Pediatrician-friendly-growth-charts-for-0-18-year-old-Indian-children. Accessed on 25 February 2025.

Hoq M, Ali M, Islam A, Banerjee C. Risk factors of acute malnutrition among children aged 6-59 months enrolled in a community-based programme in Kurigram, Bangladesh: a mixed-method matched case-control study. J Health Popul Nutr. 2019;38(1):1-7. DOI: https://doi.org/10.1186/s41043-019-0192-2

Prasad HK, Khadilkar V. Growth Charts and Monitoring. Indian J Pract Pediatr. 2017;19(4):319-26.

Sayed S, El-Shabrawi MH, Abdelmonaem E, El Koofy N, Tarek S. Value of Nutritional Screening Tools Versus Anthropometric Measurements in Evaluating Nutritional Status of Children in a Low/Middle-Income Country. Pediatr Gastroenterol Hepatol Nutr. 2023;26(4):213-23. DOI: https://doi.org/10.5223/pghn.2023.26.4.213

Pérez-Solís D, Larrea-Tamayo E, Menéndez-Arias C, Molinos-Norniella C, Bueno-Pardo S, Jiménez-Treviño S, et al. Assessment of Two Nutritional Screening Tools in Hospitalized Children. Nutrients. 2020;12(5):1221. DOI: https://doi.org/10.3390/nu12051221

Nassar MF, Mohamed A, Heba E, Ahmed KA. Nutritional Screening for 2-5 Years Old Children in Urban and Rural Outpatient Settings. Med J Cairo Univ. 2020;88(September):1767-75. DOI: https://doi.org/10.21608/mjcu.2020.116826

Wong S, Graham A, Hirani SP, Grimble G, Forbes A. Validation of the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP) in patients with spinal cord injuries (SCIs). Spinal Cord. 2013;51(5):424-9. DOI: https://doi.org/10.1038/sc.2012.166

Barros TA, Cruvel JMDS, Silva BM, Pires BRF, Dos Santos AGMA, Barroso MPRS, et al. Agreement between nutritional risk screening tools and anthropometry in hospitalized pediatric patients. Clin Nutr ESPEN. 2022;47:227-32. DOI: https://doi.org/10.1016/j.clnesp.2021.12.008

El-Sayed N, Mohamed AG, Nofal L, Mahfouz A, Zeid HA. Malnutrition among school children in Alexandria. J Health Popul Nutr. 2001;19(4):275-80.

El-Zanaty and Associates. Ministry of Health and Population Cairo. Egypt demographic and health survey 2014. 2015. Available at: https://dhsprogram. com/pubs/pdf/fr302/fr302.pdf. Accessed on 09 April 2025.

Elif Öztürk M, Yabancı Ayhan N. Evaluation of malnutrition and screening tools in hospitalized children. Clin Nutr ESPEN. 2023;57:770-8. DOI: https://doi.org/10.1016/j.clnesp.2023.08.031

Tuokkola J, Hilpi J, Kolho KL, Merras-Salmio L. Nutritional risk screening-a cross-sectional study in a tertiary pediatric hospital. J Health Popul Nutr. 2019;38:8. DOI: https://doi.org/10.1186/s41043-019-0166-4

Downloads

Published

2025-06-25

How to Cite

S. Karnam, P., Garikipati, C., & Sathiyamoorthi, S. (2025). Validity of screening tool for the assessment of malnutrition in paediatrics in detecting malnutrition among in-patient children aged below 12 years. International Journal of Contemporary Pediatrics, 12(7), 1180–1187. https://doi.org/10.18203/2349-3291.ijcp20251872

Issue

Section

Original Research Articles