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


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

Article information

Korean J Community Nutr. 2017;22(1):63-73
Publication date (electronic) : 2017 February 28
doi : https://doi.org/10.5720/kjcn.2017.22.1.63
Chao Wang, Hokyung Ryuorcid_icon
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 2017 January 17; Revised 2017 February 27; Accepted 2017 February 28.

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

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Article information Continued

Copyright © 2017 The Korean Society of Community Nutrition

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.

Table 1

General characteristics of the study subjects

Table 1

Table 2

Comparison of anthropometric and biochemical data of the study subjects

Table 2

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

Table 3

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

Table 4

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

Table 5

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

Table 6

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

Table 7

1) OR:odds ratio CI: confidence interval

**: p < 0.01

Table 8

Comparisons of the nutrient intakes between MSG and NMSG

Table 8

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

Table 9

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

Table 10

1) MS: metabolic syndrome

2) BMI: body mass index

3) N (%)

***: p < 0.001