Plasma content of polyunsaturated fatty acids and its relationship with fatigue among college students
10.3724 /SP.J.1008.2012.01099
- Author:
Tian LIANG
1
Author Information
1. Department of Food Science, College of Food Science, South China Agricultural University
- Publication Type:Journal Article
- Keywords:
College students;
Fatigue;
Polyunsaturated fatty acids;
Scale
- From:
Academic Journal of Second Military Medical University
2012;33(10):1099-1103
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the relationship between plasma content of polyunsaturated fatty acids (PUFAs) and fatigue among coli ege students. Methods A total of65 healthy voluntary subjects were recruited from a university in Guangzhou. Plasma samples were collected and PUFAs levels were determined by gas chromatography (GC). The temperature program ramped from 170°C to 210°C at 3°C per minute for 6 minutes, then from 210°C to 230°C at 10°C per minute for 46 minutes. The examination items included: linoleic acid (LA), arachidonic acid (AA), α-linolenic acid (α-LNA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Acid catalysis method was used for catalyzing methyl esterification of fatty acid, and an internal standard method using heptadecanoic acid was adopted for direct and quick determination of PUFAs in plasma. Fatigue sub-scale of brief profile of mood states (BPOMS) was used for fatigue evaluation. Results Significant gender difference was found inAA levels among the subjects (P<0. 01) and no gender difference was found for fatigue score (P>0. 05). Levels of crLNA were negatively correlated with the fatigue score among males, females and all the subjects (r=-0. 454 3, r= - 0. 3422, and r= - 0. 367 4, all P<0. 05). The subjects were divided into a high-score group (n=33) and a low-score group (n=32) according to fatigue scores. Andwe found that the rLNA levels and intake frequencies of eggs and nutswere significantly different between the high-score group and the low-score group(P<0. 01or P<0. 05). Multiple linear regression analysis for the factors of fatigue (Y) showed that only α-LNA (X) entered the modil after adjusting, with the regression equation being: Y=10. 256 1-0. 029 35 X (t= 2. 59, P = 0. 090 8). Conclusion Fatigue is common among college students, and it is negatively correlated with the α-LNA level. Students should develop a scientific diet and take more food rieh in or3 fatty acid, especially in α-LNA so as to effectively prevent and alleviate fatigue.
