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[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.
Objective:
To introduce the four widely used methods for evaluating undernutrition in children and adolescents in China and internationally, and to compile the corresponding SPSS program package according to the American CDC standard, the IOTF standard and the Chinese industry standard.
Methods:
The SPSS program package for evaluating undernutrition in children and adolescents was compiled and explained. Based on the growth and development survey data of 62 517 children and adolescents aged 6-17 years in 93 primary and secondary schools in 7 provinces and cities in China in 2012, the nutritional deficiency status was judged and compared according to four evaluation methods, and the chi-square test was used to compare the differences between groups, the Bonferroni method was used for pairwise comparisons.
Results:
The detection rates of the four evaluation methods were statistically different in the case population(P<0.01). When screening for stunning, the detection rate of the American CDC standard was the highest(3.5%), and the detection rate of the Chinese industry standard was the lowest(0.4%). When screening for wasting, the detection rate of the IOTF standard(11.8%) was significantly higher than those of the other standards. There was little difference between the result of the Chinese industry standard and the American CDC standard, and the detection rate of the WHO standard was the lowest(3.0%).
Conclusion:
Given the differences in the result of the four method, the SPSS package developed in this study facilitates the selection and application of appropriate evaluation method for pediatricians, school health staff, and researchers to choose appropriate evaluation method, so that they could identify undernutrition in children and adolescents rapidly and accurately.
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