A Study on Correlation between Height Growth, Obesity and Bone maturity in Childhood

Sang Rak CHoi; Yun Young Kim; Jang Eun Jin; Jin Suk Koo; CHoi, Sang Rak; Kim, Yun Young; Jang, Eun Jin; Koo, Jin Suk

doi:10.13048/jkm.19003

JKM > Volume 40(1); 2019 > Article

CHoi, Kim, Jin, and Koo: A Study on Correlation between Height Growth, Obesity and Bone maturity in Childhood

Original Article

The Journal of Korean Medicine 2019; 40(1): 24-33.

DOI: https://doi.org/10.13048/jkm.19003

A Study on Correlation between Height Growth, Obesity and Bone maturity in Childhood

Sang Rak CHoi¹, Yun Young Kim², Jang Eun Jin³, Jin Suk Koo¹

¹Dept. of Bioresource Sciences, Andong National Univ. Andong, Republic of Korea

²Dept. of Nursing, Andong National Univ. Andong, Republic of Korea

³Dept. of Information statistics, Andong National Univ. Andong, Republic of Korea

Correspondence to：구진숙(Jin Suk Koo) 경상북도 안동시 경동로 1375 안동대학교 자연과학대학 생약자원학과 Tel：+82-54-820-5845, Fax：+82-54-820-6252, E-mail: kimkoo1114@anu.ac.kr

Received February 07, 2019 Revised March 11, 2019 Accepted March 11, 2019

Abstract

Objectives

The purpose of this study is to analyze the causes of short stature through a clinical review of factors related to childhood height growth. So we can find the way to meet the needs of the heightism which is widely spread among modern people.

Methods

Among 160 patients who came to Andong B oriental clinic for the purpose of growth therapy, 112 children whose height was smaller than other normal children were analyzed. When the children first came to the clinic, we checked their height and weight. The parents’ height was recorded through a questionnaire. The relationship between obesity index and height growth was examined through growth plate test and Inbody test. We want to identify the genetic factors related to parental factors based on the data of the parent height.

Results

For short stature children, weight was often normal or low. When we examined the relationship between parental genetic factors and child growth, we found that they were more influenced by father’s height rather than mother’s. We investigated the correlation between skeletal maturity and the five viscera. There was no apparent correlation between skeletal maturity and the five viscera but we found that there was some degree of relevance.

Conclusions

For short stature children, the weight was often normal or low and parental genetic factors were more influenced by father than by mother. In the case of bone maturity it did not show a direct correlation between the five viscera.

Keywords: growth plate test, obesity index, genetic index. bone maturity

Fig. 1

Scatter plot (① BMI & Mean height difference ② BMI & Predicted height ③ Fat regulation & Mean height difference ④ Fat regulation & Predicted height)

Fig. 2

Scatter plot (①Father’s average height difference & Child’s average height difference ② Mother’s average height difference & Child’s average height difference)

Table 1

General Characteristics of the Subjects

(N=112)

Characteristics	Categories	n (%)/Mean±SD
Gender	Male	51 (45.5)
Gender	Female	61 (54.5)

Age	x < 5 years	1 (0.9)
	5 years ≤ x 10 years	44 (39.2)
	10 years ≤ x 15 years	53 (47.3)
	15 years ≥ x	14 (12.5)

Growth	Mean height difference	−6.1
Growth	Bone age difference	−1.4230916

Obesity (BMI)	x < 17: Underweight	36 (32.14)
	17 ≤ x 22.5: Normal	56 (50)
	22.5 ≤ x, 25.5: Overweight	12 (10.71)
	x ≥ 25.5: Obesity	6 (5.36)

Parent’s height	Height average (father)	169.9
Parent’s height	Height average (mother)	156.8

Table 2

Pearson’s correlation coefficient

	Mean height difference		Predicted height
	Correlation coefficient	p-value	Correlation coefficient	p-value
BMI	0.29772	0.0016**	0.24099	0.0112*
Fat regulation	−0.26893	0.0043**	−0.16408	0.0853

* p < 0.05

Table 3

Analysis of variance

BMI	Mean height difference				Predicted height
BMI	Aver-age	Standard Deviation	p-value	Post-verification	Average	Standard Deviation	p-value	Post-verification
x<17: Underweight	−7.8	4.78757	0.029*		159.6	8.04763	0.0422*
2. 17 ≤ x<22.5: Normal	−5.4	4.42699			164.1	6.7884
3. 22.5 ≤ x, <25.5: Overweight	−4.5	2.55383		1=2=3=4	162.6	7.98246		1=3=4<2
4. x ≥ 25.5: Obesity	−4.5	4.7116			163.8	8.35264

* p < 0.05

Table 4

Pearson’s correlation coefficient

	Child’s average height difference
	Correlation coefficient	p-value
Father’s average height difference	0.23524	0.0125*
Mother’s average height difference	0.14721	0.1214

* p < 0.05

Table 5

Regression analysis

	Univariate			Multivariate			Shapiro-Wilk Regularity verification
	Regression coefficient	Confidence interval	p-value	Regression coefficient	Confidence interval	p-value	Shapiro-Wilk Regularity verification
liver	−0.000409	(−0.01245,0.01163)	0.9464	−0.0011	(−0.01370,0.01141)	0.8635	<0.0001
heart	0.0023	(−0.01009,0.01468)	0.7139	0.00234	(−0.01195,0.01664)	0.7457	0.0005
spleen	0.0027	(−0.00906,0.01445)	0.6502	0.00288	(−0.01046,0.01622)	0.6692	0.0251
lung	0.00245	(−0.00905,0.01395)	0.6735	0.000976	(−0.01237,0.01432)	0.8849	0.1164
kidney	0.002	(−0.00900,0.01299)	0.7194	0.00132	(−0.01032,0.01295)	0.8229	0.0006

⇒ 폐를 제외하고는 정규성을 만족하지 않는다.

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