Download fulltext HTML
Sudja, S., Sitanggang, B., Shagti, I., & Purnawan, A. I. (2019). Sensitivity (Se) and Specificity (Sp) Anthropometric Wall Chart (Awc) Tb/U for Detecting Stunting on Children Aged 6-12 Years. KnE Life Sciences, 4(15), 210–221. https://doi.org/10.18502/kls.v4i15.5761

https://doi.org/10.18502/kls.v4i15.5761

statistics

  • 542 Abstract Views
  • 325 PDF Views
  • 0 HTML Views

authors

  • Sudja Sudja

    Sudja Sudja

    Jurusan Gizi, Politeknik Kesehatan Bandung, Indonesia
  • Berlin Sitanggang

    Berlin Sitanggang

    Jurusan Gizi, Politeknik Kesehatan Medan, Indonesia
  • Indhira Shagti

    Indhira Shagti

    Jurusan Gizi, Politeknik Kesehatan Kupang, Indonesia
  • Asep I Purnawan

    Asep I Purnawan

    Jurusan Gizi, Politeknik Kesehatan Bandung, Indonesia

Published Date

  • Dec 23, 2019

Sensitivity (Se) and Specificity (Sp) Anthropometric Wall Chart (Awc) Tb/U for Detecting Stunting on Children Aged 6-12 Years

KnE Life Sciences / The First International Conference on Health Profession / Pages 210–221

Abstract

Anthropometric Wall Chart (AWC) TB/U is a tool developed to screen nutritional status that is easy and fast to use for children aged 6-12 years in the population. The accuracy of the tool in measuring stunting can be seen from its validity. This study aims to get the validity of AWC in 3 (three) cities representing the West (Medan), Central (Bandung) and East (Kupang), Indonesia so that the results could be used for stunting screening of elementary school children wider coverage. The study was conducted in a cross-sectional manner with a sample of 270 elementary students from grade 1 to grade 6 in 3 cities (Medan, Kupang, and Bandung) whose nutritional status was measured by using AWC TB / U and TB / U index using microtoise. The results of the study of the use of AWC in Medan showed that there were 20 (22.2%) stunting children, with Se value of 68.8% and Sp value of 87.8%, PPV 55%, and NPV 92.9%. In Kupang, there were 21 (23.3%) children who were stunting with a value of Se 60.0% and Sp 98.2%, and in Bandung, there were 12 (13.3%) stunted children with Se value of 72.7% and Sp 94.9%. Combined in 3 (three) cities get Se value 66.0% and Sp 93.3%, PPV 73.6% and NPV 90.3%. AWC TB / U can be used as a stunting screening tool for diagnosis with the aim of a high Sp value. For students who are detected stunted, further treatment is needed to overcome their nutritional problems.

References
[1] Unicef, World Health Organisation, Bank TW. Levels and Trends in Child Malnutrition. Midwifery. 2015:1- 6. doi:10.1016/S0266-6138(96)90067-4.

[2] WHO. World Health Assembly Global Nutrition Targets 2025. Stunting Policy Br. 2014. doi:10.1152/ajpendo.00419.2004.

[3] Ministry of Health I. Riset Kesehatan Dasar 2013. Badan Penelit dan Pengemb Kesehat Dep Kesehat Republik Indones. 2013:103. doi:10.1007/s13398-014-0173-7.2.

[4] Crookston BT, Dearden KA, Alder SC, et al. Impact of early and concurrent stunting on cognition. Matern Child Nutr. 2011;7(4):397-409. doi:10.1111/j.1740-8709.2010.00255.x.

[5] Casale D, Desmond C, Richter L. The association between stunting and psychosocial development among preschool children: A study using the South African Birth to Twenty cohort data. Child Care Health Dev. 2014;40(6):900-910. doi:10.1111/cch.12143

[6] Woldehanna T, Behrman JR, Araya MW. The effect of early childhood stunting on children’s cognitive achievements: Evidence from young lives Ethiopia. Ethiop J Heal Dev. 2017;31(2):75-84.

[7] Prendergast AJ, Humphrey JH. The stunting syndrome in developing countries. Paediatr Int Child Health. 2014;34(4):250-265. doi:10.1179/2046905514Y.0000000158.

[8] Arija V, Rodrigo CP, de Vitoria EM, et al. Dietary intake and anthropometric reference values in population studies. Nutr Hosp. 2015;31:157-167. doi:10.3305/nh.2015.31.sup3.8763.

[9] Sampaio A dos S, Epifanio M, Costa CAD, et al. Evidence on nutritional assessment techniques and parameters used to determine the nutritional status of children and adolescents: systematic review. Cien Saude Colet. 2018;23(12):4209-4219. doi:10.1590/1413-812320182312.31502016.

[10] Cole TJ. The development of growth references and growth charts. Ann Hum Biol. 2012;39(5):382-394. doi:10.3109/03014460.2012.694475.

[11] Lawrence S, Cummings E, Chanoine JP, et al. Use of growth charts in Canada: A National Canadian Paediatric Surveillance Program survey. Paediatr Child Heal. 2015;20(4):185-188. doi:10.1093/pch/20.4.185.

[12] Kim JH, Yun S, Hwang SS, et al. The 2017 Korean national growth charts for children and adolescents: Development, improvement, and prospects. Korean J Pediatr. 2018;61(5):135-149. doi:10.3345/kjp.2018.61.5.135.

[13] Bordom JH, Billot L, Gueguen R, Deschamps JP. New growth charts for Libyan preschool children. East Mediterr Heal J. 2008;14(6):1400-1412.

[14] Zong XN, Li H. Construction of a New Growth References for China Based on Urban Chinese Children: Comparison with the WHO Growth Standards. PLoS One. 2013;8(3). doi:10.1371/journal.pone.0059569.

[15] Schaffrath Rosario A, Schienkiewitz A, Neuhauser H. German height references for children aged 0 to under 18 years compared to WHO and CDC growth charts. Ann Hum Biol. 2011;38(2):121-130. doi:10.3109/03014460.2010.521193.

[16] Afifi HH, Aglan MS, Zaki ME, Thomas MM, Tosson AMS. Growth charts of Down syndrome in Egypt: A study of 434 children 0-36 months of age. Am J Med Genet Part A. 2012;158 A(11):2647-2655. doi:10.1002/ajmg.a.35468.

[17] Wright CM, Sachs M, Short J, Sharp L, Cameron K, Moy RJ. Designing new UK-WHO growth charts: implications for health staff use and understanding of charts and growth monitoring. Matern Child Nutr. 2012;8(3):371-379. doi:10.1111/j.1740-8709.2010.00296.x.

[18] Sinaga HT, Manalu M. Using Modified Growth Chart in Posyandu Effectively Improved Child Weight Gain in Deli Serdang District, Indonesia. Vol 14.; 2015.

[19] Ben-Joseph EP, Dowshen SA, Izenberg N. Do Parents Understand Growth Charts? A National, Internet- Based Survey. Pediatrics. 2009;124(4):1100-1109. doi:10.1542/peds.2008-0797.

[20] Sudja A, Helmi R, Purnawan AI. Validasi alat Anthropometric wall chart (AWC) TB/U untuk Mendeteksi Stunted pada anak Sekolah Dasar di Kota Cimahi. Ris Pembin Tenaga Kesehatan, Poltekkes Kemenkes Bandung. 2015.

[21] Tammam J, Gardner L, Hickson M. Validity, reliability and acceptability of the Imperial Nutritional Screening System (INSYST): A tool that does not require the body mass index. J Hum Nutr Diet. 2009;22(6):536-544. doi:10.1111/j.1365-277X.2009.01004.x.

[22] van Venrooij LMW, de Vos R, Borgmeijer-Hoelen AMMJ, Kruizenga HM, Jonkers-Schuitema CF, de Mol BAMJ. Quick-and-easy nutritional screening tools to detect disease-related undernutrition in hospital in- and outpatient settings: A systematic review of sensitivity and specificity. e-SPEN. 2007;2(2):21-37. doi:10.1016/j.eclnm.2007.03.001.

[23] Green SM, Watson R. Nutritional screening and assessment tools for use by nurses: literature review. J Adv Nurs. 2005;50(1):69-83. doi:10.1111/j.1365-2648.2004.03350.x.

[24] Green SM, Watson R. Nutritional screening and assessment tools for older adults: literature review. J Adv Nurs. 2006;54(4):477-490. doi:10.1111/j.1365-2648.2006.03841.x.

[25] Streiner DL, Norman GR. Health Measurement Scales: A Practical Guide to Their Development and Use. Fourth. New York: Oxford University Press Inc.; 2008.

[26] Gibson RS. Principles of Nutritional Assessment. 2nd Ed. New York: Oxford University Press, Inc.; 2005..

[27] Straus SE, Richardson WS, Glasziou P, Haynes RB. Evidence-Based Medicine: How to Practice and Teach EBM. Third. London: Churchill Livingstone; 2005.

[28] Szklo M, Nieto FJ. Epidemiology: Beyond the Basics. Maryland: Aspen Publishers Inc.; 2000.