Relation between Metabolic Syndrome and Obesity Pattern Identification Questionnaire in Middle-aged Health Check-up Examinees

Jeong-Eun Yoo; Young-Hye Cho; Hyun-Gyung Gu; Bo-Young Kim; Young-Ju Yun; Yoo, Jeong-Eun; Cho, Young-Hye; Gu, Hyun-Gyung; Kim, Bo-Young; Yun, Young-Ju

doi:10.13048/jkm.14012

JKM > Volume 35(1); 2014 > Article

Yoo, Cho, Gu, Kim, and Yun: Relation between Metabolic Syndrome and Obesity Pattern Identification Questionnaire in Middle-aged Health Check-up Examinees

Original Article

The Journal of Korean Oriental Medicine 2014; 35(1): 124-134.

Published online: March 30, 2014

DOI: https://doi.org/10.13048/jkm.14012

Relation between Metabolic Syndrome and Obesity Pattern Identification Questionnaire in Middle-aged Health Check-up Examinees

Jeong-Eun Yoo¹, Young-Hye Cho², Hyun-Gyung Gu³, Bo-Young Kim⁴, Young-Ju Yun^{, 5}

¹National Clinical Research Center for Korean Medicine, Pusan National University Korean Medical Hospital

²Dep. of Family Medicine, Pusan National University Yangsan Hospital

³School of Korean Medicine, Pusan National University

⁴Korea Institute of Oriental Medicine

⁵Dep. of Integrative Medicine, School of Korean Medicine, Pusan National University

Correspondence to: 윤영주(Young-Ju Yun) 경상남도 양산시 금오로20 부산대학교 한의학전문대학원, Tel: +82-55-360-5955, Fax: +82-55-360-5909, E-mail: mdkmdyun@pusan.ac.kr

Received February 21, 2014 Revised March 17, 2014 Accepted March 17, 2014

Abstract

Objectives

Metabolic syndrome is considered a coronary heart disease risk factor and its prevalence rate is increasing in Korea. Because obesity is relevant to metabolic syndrome, we investigated the relationship between metabolic syndrome and the Obesity Pattern Identification Questionnaire in middle-aged health check-up examinees.

Methods:

This was a cross-sectional study with 125 patients who visited a health promotion center of university hospital from October 2012 to January 2013. We analyzed the association of Obesity Pattern Identification Questionnaire and the diagnostic criteria of metabolic syndrome.

Results:

Pi deficiency (脾虛), phlegm (痰飮), liver stasis (肝鬱) and food accumulation (食積) pattern showed significantly highs score in the group with hypertriglyceridemia. Also, females demonstrated significantly high scores of liver stasis (肝鬱) and food accumulation (食積) in the group with hypertriglyceridemia. The questions of Pattern Identification that showed especially significant high score in the group of hypertriglyceridemia are as follows: ‘Easily get annoyed’, ‘Usually worried’, ‘Frequently overeating or bingeing’, and ‘Having more after getting full’. There are positive correlations between triglyceride and the score of Pi deficiency (脾虛), phlegm (痰飮) and food accumulation (食積) pattern.

Conclusions:

Obesity Pattern Identification Questionnaire can be used for the management of hypertriglyceridemia in an effort to prevent metabolic syndrome.

Keywords: Metabolic syndrome, Obesity Pattern Identification Questionnaire, hypertriglyceridemia

Table 1

Anthropometric Measuresments and Biochemical Indices of 124 Subjects

	All (N=124)	Male (n=70)	Female (n=54)	P-value
Age (years)	53.44±5.20	53.42±5.28	53.46±5.16	0.971
BMI(kg/m²)	24.29±3.07	25.05±2.68	23.31±3.27	0.001^**
BFP(%)	27.35±7.26	23.82±6.01	31.93±6.12	<0.001^**
WC(cm)	85.20±10.06	90.07±7.80	78.88±9.16	<0.001^**
SBP(mmHg)	118.16±12.27	122.08±10.99	113.09±12.07	<0.001^**
DBP(mmHg)	79.02±10.07	83.37±8.93	73.38±8.62	<0.001^**
Trigyceride(mg/dl)	132.50±107.71	154.72±122.72	103.68±76.30	0.005^*
HDL-C(mg/dl)	58.26±14.50	54.30±12.69	63.40±15.19	<0.001^**
FBS(mg/dl)	99.29±23.52	102.52±26.74	95.09±17.93	0.081

BMI : Body mass index, BFP : Body Fat Percentage, WC :Waist Circumference, SBP : Systolic Blood Pressure, DBP : Diastolic Blood Pressure, HDL-C : high density lipoprotein cholesterol, FBS : Fasting Blood Sugar

* p<0.05 and

** p<0.01

Table 2

Frequency According to Metabolic Syndrome Diagnostic Criteria

	All (N=124)	Male (n=70)	Female (n=54)	χ²	P-value
Metabolic syndrome	35	26(74.3%)	9(25.7%)	6.309	0.012^*
Central obesity	65	40(61.5%)	25(38.5%)	1.438	0.230
Hypertension	51	40(78.4%)	11(21.6%)	17.024	<0.001^**
High trigyceride	40	27(67.5%)	13(32.5%)	2.932	0.087
Low HDL-C	20	9(45.0%)	11(55.0%)	1.272	0.259
High glucose	41	24(58.5%)	17(41.5%)	0.108	0.742

* p<0.05 and

** p<0.01

Table 3

Comparison of the Pattern Identification Score According to High Trigyceride

	High Trigyceride (n=40)	Normal (n=84)	P-value
Pi deficiency	17.16±9.26	13.26±9.31	0.031^*
Phlegm	16.77±8.91	12.80±8.91	0.022^*
Yang deficiency	16.86±9.35	13.77±9.15	0.084
Food accumulation	18.47±9.15	13.67±9.04	0.007^**
Liver stasis	19.35±10.89	14.49±10.40	0.018^*
Blood stagnation	13.25±8.15	10.62±8.90	0.116

* p<0.05 and

** p<0.01

Table 4

Comparison of the Pattern Identification Score According to High Trigyceride in Female

	High Trigyceride (n=13)	Normal (n=41)	P-value
Pi deficiency	19.28±9.60	13.78±8.62	0.057
Phlegm	18.90±9.09	13.59±8.21	0.053
Yang deficiency	18.62±9.39	14.58±8.36	0.147
Food accumulation	20.71±8.87	14.19±8.48	0.021^*
Liver stasis	21.86±11.49	15.05±9.54	0.038^*
Blood stagnation	15.30±7.98	10.99±7.57	0.083

* p<0.05

Table 5

Correlation Between Trigyceride and Pattern Identification Score of 124 Subjects

	Pi Deficiency	Phlegm	Yang Deficiency	Food Accumulation	Liver Stasis	Blood Stagnation
r	0.192	0.199	0.139	0.227	0.160	0.143
P-value	0.033^*	0.027^*	0.123	0.011^*	0.076	0.113

* p<0.05

Table 6

Comparison of the Pattern Identification Score According to High Trigyceride in Questions

Questions	High Trigyceride (n=40)	Normal (n=84)	P-value
Easily get annoyed	2.80±1.15	2.32±1.18	0.036^*
Usually with worries	2.92±1.07	2.35±1.13	0.009^*
Frequently overeating or binge	2.55±1.06	1.95±1.08	0.005^*
Having more after getting full	2.32±1.04	1.89±0.89	0.019^*

* p<0.05

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