The Journal of Pediatrics of Korean Medicine (대한한방소아과학회지)

The Association of Korean Oriental Pediatrics (대한한방소아과학회)
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A Clinical Study of the Pediatric Patients Who Visited Oriental Medical Hospital for Growth Treatment

성장 치료를 목적으로 한방병원에 내원한 환아에 대한 임상적 고찰

  • Choi, Sun Hee (Department of Pediatric, College of Oriental Medicine, Wonkwang University) ;
  • Park, Eun Jung (Department of Pediatric, College of Oriental Medicine, Wonkwang University)
  • 최선희 (원광대학교 한의과대학 소아과학교실) ;
  • 박은정 (원광대학교 한의과대학 소아과학교실)
  • Received : 2018.10.25
  • Accepted : 2018.11.19
  • Published : 2018.11.30
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Abstract

Objectives The purpose of this study is to analyze the characteristic of pediatric patients who visited oriental medical hospital for growth treatment. Methods The study was conducted with 130 pediatric patients who visited ${\bigcirc}{\bigcirc}$ Korean medicine hospital from January 2016 to August 2017. The patient's data was classified by sex, age, pattern identification and diseases. The classified data was analyzed to find the correlations and characteristics among variables. Results There were 50.8% of boys and 49.2% of girls. 6.2% of the total patients were in 'early childhood', 50.8% were in 'late childhood' and 43.1% were in 'puberty' stage. In terms of pattern identification, 44.6% of the total patients were 'Spleen-lung Qi Deficiency', 53.8% were 'Lung-kidney Yin Deficiency' and 1.5% were 'Weakness of Heart and gallbladder'. 44.3% of the patients had various diseases including rhinitis (77.6% of 120.7%). Height percentile of the children with using the Growth chart of 2017 was lower than using the Growth chart of 2007. Predicted height based on the child's bone-age were higher than the predicted height based on the parental height, although both of the precited factors were correlated to the current child's height. Conclusions This study showed the characteristic of the pediatric patients who visited oriental medical hospital for growth treatment. It helps to determine prognosis and treatment, and to explain treatment measures.

Keywords

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Fig. 1. Distribution of sex

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Fig. 2. Distribution of age

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Fig. 3. Distribution of age stage

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Fig. 4. Distribution of pattern identification

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Fig. 5. Distribution of pattern identification according to sex

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Fig. 6. Distribution of pattern identification according to age stage

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Fig. 7. Distribution of disease and non-disease

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Fig. 8. Distribution of diseases

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Fig. 9. Comparison between 2007 height percentile and 2017 height percentile

Table 1. Distribution of Height Percentile

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Table 2. Correlations among Height, MPH and AHP (TW3) of All Patients

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Table 3. Correlations among Height, MPH and AHP (TW3) of Boys

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Table 4. Correlations among Height, MPH and AHP (TW3) of Girls

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