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Wang and Ryu: Metabolic Syndrome Status of Chinese Workers and Their Physical Profiles, Lifestyle Scores, and Nutrient Intakes
Research Article

Korean Journal of Community Nutrition 2017; 22(1): 63-73.

Published online: 28 February 2017

DOI: https://doi.org/10.5720/kjcn.2017.22.1.63

Metabolic Syndrome Status of Chinese Workers and Their Physical Profiles, Lifestyle Scores, and Nutrient Intakes

Chao Wang, Hokyung Ryu

Department of Food Science and Nutrition, Pusan National University, Busan, Korea.

Corresponding author: Hokyung Ryu. Department of Food Science and Nutrition, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Korea. Tel: (051) 510-7397, Fax: (051) 583-3648, hokryu@pusan.ac.kr

Received 17 January 2017       Revised 27 February 2017       Accepted 28 February 2017

Copyright © 2017 The Korean Society of Community Nutrition

(open-access):

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objectives

This study was conducted to survey the related factors of metabolic syndrome of Chinese workers aged 20 years and above.

Methods

The study was conducted at three locations in Shandong, China, currently working and took the physical examination (PE) within one year in the area as target participants. Personal characteristics, physical and biochemical results based on the PE, lifestyle habits, and food intake of the participants were used to analyze the relationship with metabolic syndrome.

Results

Results showed that overall, thirty-one subjects (22.5%) had metabolic syndrome, twenty males (32.7%) and eleven females (14.2%). Metabolic syndrome was related to age, gender, educational level and occupational type with more risk in male (P < 0.05), people of older age (P < 0.001), low educational level (P < 0.05) and nonoffice workers (P < 0.01). According to the life style scores, lifestyle evaluation showed specifically alcohol consumption and smoking (P < 0.001) and stress management (P < 0.05) as important factors that were associated with the metabolic syndrome. High calorie (P < 0.01) and carbohydrate (P < 0.01) intakes were observed on male participants with metabolic syndrome in comparison to the non-metabolic syndrome but no significant difference on female participants.

Conclusions

This results of this study can be used as significant supporting data to prevent and control metabolic syndrome in Chinese workers.

Keywords: metabolic syndrome, Chinese workers, physical profiles, life style, nutrient intakes

Figures and Tables

Table 1

General characteristics of the study subjects

kjcn-22-63-i001
Table 2

Comparison of anthropometric and biochemical data of the study subjects

kjcn-22-63-i002

1) Mean±SD

2) BMI: body mass index

3) SBP: systolic blood pressure

4) DBP: diastolic blood pressure

*: p < 0.05, ***: p < 0.001

Table 3

The numbers of metabolic syndrome risk factors of the study subjects

kjcn-22-63-i003

1) N (%)

2) MS: metabolic syndrome

3) NMS: non-metabolic syndrome

*: p < 0.05

Table 4

Comparison of the general characteristics between MSG and NMSG

kjcn-22-63-i004

1) MSG: metabolic syndrome group

2) NMSG: non-metabolic syndrome group

3) N (%)

**: p < 0.01, ***: p < 0.001

Table 5

Comparison of anthropometric and serum profile and blood pressure of the study subjects between MSG and NMSG

kjcn-22-63-i005

1) MSG: metabolic syndrome group

2) NMSG: non-metabolic syndrome group

3) Values are Mean±SD

4) BMI: body mass index

5) SBP: systolic blood pressure

6) DBP: diastolic blood pressure

*: p < 0.05, ***: p < 0.001

Table 6

Comparison of the lifestyle scores between MSG and NMSG

kjcn-22-63-i006

1) MSG: metabolic syndrome group

2) NMSG: non-metabolic syndrome group

3) Values are Mean±SD

*: p < 0.05, ***: p < 0.001

Table 7

Odds ratios of binary model of metabolic syndrome

kjcn-22-63-i007

1) OR:odds ratio CI: confidence interval

**: p < 0.01

Table 8

Comparisons of the nutrient intakes between MSG and NMSG

kjcn-22-63-i008

1) MSG: metabolic syndrome group

2) NMSG: non-metabolic syndrome group

3) %: % of total amount of each nutrient

4) Values are Mean±SD

5) SFA: saturated fatty acid

6) MUFA: monounsaturated fatty acids

7) PUFA: polyunsaturated fatty acids

*: p < 0.05

Table 9

The percentage of three major nutrients contributing to energy between MSG and NMSG

kjcn-22-63-i009

1) MSG: metabolic syndrome group

2) NMSG: non-metabolic syndrome group

3) %: % of total amount of each nutrient

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 10

Percentage of metabolic syndrome occurrence affected by various factors

kjcn-22-63-i010

1) MS: metabolic syndrome

2) BMI: body mass index

3) N (%)

***: p < 0.001

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ORCID iDs

Hokyung Ryu
https://orcid.org/http://orcid.org/0000-0002-4212-7363

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