[Application in SPSS of different methods for evaluating undernutrition in children and adolescents]

Yuwen Xia1, Jiajia Dang1, Ting Wu1

  • 1Institute of Child and Adolescent Health, Peking University, Beijing 100191, China.

Insights

This study introduces four methods for evaluating child undernutrition and develops an SPSS package for accurate assessment. The findings highlight significant differences in detection rates among methods, aiding clinicians in selecting the best approach.

Area of Science:

  • Pediatric Nutrition
  • Public Health
  • Biostatistics

Context:

  • Undernutrition in children and adolescents is a significant global health concern.
  • Standardized evaluation methods are crucial for accurate diagnosis and intervention.
  • Existing methods for assessing undernutrition in China and internationally vary.

Purpose:

  • To introduce four widely used methods for evaluating undernutrition in children and adolescents.
  • To develop an SPSS program package for applying these evaluation standards.
  • To compare the performance of different undernutrition evaluation standards using Chinese population data.

Summary:

  • An SPSS package was developed to evaluate undernutrition using American CDC, IOTF, and Chinese industry standards.
  • Data from 62,517 children and adolescents (aged 6-17) in China were analyzed.
  • Significant differences in detection rates for stunting and wasting were observed across the four methods (P<0.01).

Impact:

  • The developed SPSS package aids pediatricians, school health staff, and researchers in rapidly and accurately identifying undernutrition.
  • Highlights the need for careful selection of evaluation methods due to varying detection rates.
  • Facilitates evidence-based decision-making in pediatric nutrition assessment and public health initiatives.
Abstract

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