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Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

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Published on: June 20, 2020

Development of a Digitalized Child's Checkups Information System.

Yoshiya Ito¹, Hidemi Takimoto

¹Department of Clinical Medicine, Japanese Red Cross Hokkaido College of Nursing.

Nihon Eiseigaku Zasshi. Japanese Journal of Hygiene

|February 4, 2017

Summary

Japanese childhood health checkups collect valuable anthropometric data. Utilizing a new optical character recognition (OCR) system and digital tools can help prevent adult obesity-related diseases.

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Area of Science:

Pediatrics
Public Health
Biostatistics

Background:

Childhood health checkups in Japan are crucial for monitoring and managing health from infancy through high school.
Anthropometric data from these checkups are stored in various records, including maternal and child health handbooks and school health cards.
Effective utilization of this data is key for preventing adult lifestyle-related diseases like obesity, metabolic syndrome, and diabetes mellitus.

Purpose of the Study:

To establish a system for linking anthropometric data from infancy to school-age health checkups.
To develop digital tools for analyzing obesity-related indices and trends in children.
To leverage historical health data for proactive health management and disease prevention.

Main Methods:

Development of an optical character recognition (OCR) system to digitize handwritten anthropometric records.
Implementation of Microsoft Excel spreadsheets for calculating obesity-related indices (e.g., body mass index, relative body weight).
Creation of functions within spreadsheets to tabulate obesity frequencies in specific pediatric groups.

Main Results:

A functional OCR-based system was established to link childhood health data across different life stages.
Digital tools were created for calculating and analyzing key obesity indicators.
The system demonstrated potential for identifying and addressing childhood obesity trends.

Conclusions:

Digitizing and analyzing anthropometric data from childhood health checkups is vital for long-term health.
The developed OCR system and digital spreadsheets offer a promising approach to managing childhood health and preventing adult diseases.
Proactive use of these data systems can significantly reduce the risk of lifestyle-related diseases in adulthood.