Metabolic Syndrome Status of Chinese Workers and Their Physical Profiles, Lifestyle Scores, and Nutrient Intakes.
10.5720/kjcn.2017.22.1.63
- Author:
Chao WANG
1
;
Hokyung RYU
Author Information
1. Department of Food Science and Nutrition, Pusan National University, Busan, Korea. hokryu@pusan.ac.kr
- Publication Type:Original Article
- Keywords:
metabolic syndrome;
Chinese workers;
physical profiles;
life style;
nutrient intakes
- MeSH:
Alcohol Drinking;
Asian Continental Ancestry Group*;
China;
Eating;
Female;
Humans;
Life Style*;
Male;
Physical Examination;
Smoke;
Smoking
- From:Korean Journal of Community Nutrition
2017;22(1):63-73
- CountryRepublic of Korea
- Language:Korean
-
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.
