Journal List > Korean J Nutr > v.45(4) > 1043937

Lee, Park, Kim, and Min: Comparison of the lipids levels, C-reactive protein and adiponectin in adolescent male by fat intake

Abstract

The purpose of this study was to investigate the relationship between dietary fat intake, anthropometric data, blood lipids, C-reactive protein, and adiponectin in Korean male college students. Forty-eight subjects were divided into 2 groups based on dietary fat intake: UERF (under 30% of energy ratio for fat source), AERF (above 30% of energy ratio for fat souce). We collected dietary intake data using 24-hour dietary recall for 3 days. Anthropometric and biochemical parameters were measured by using standard methods. Segmental body composition analysis was carried out using an 8-electrode multifrequency bioelectrical impedance method of body fat estimation. There was no significant difference in anthropometric data and serum lipid profile between UERF and AERF group. Serum C-reactive protein level was significantly higher in the AERF group compared to the UERF group. Although there was no significant difference in serum adiponectin level between UERF and AERF groups, subjects had lower adiponectin levels. Correlation data show that serum adiponectin level was positively correlated with vegetable intake (p < 0.05). In addition, dietary fat intake had a positive correlation with meat (p < 0.01), whereas a negative correlation with grain (p < 0.01), vegetables (p < 0.05), and fish (p < 0.05). These results suggest that the increased fat intake of non-obese Korean male college students is associated with their increased serum C-reactive protein concentration. Therefore, proper guidelines on fat intake and nutrition education are necessary for the prevention and management of metabolic syndromes.

Figures and Tables

Fig. 1
Distribution of serum adiponectin concentration of the subjects.
kjn-45-303-g001
Table 1
General characteristics and anthropometric parameters of the subjects
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1) Under 30% of energy ratio for fat source 2) Above 30% of energy ratio for fat source 3) Significance as determined by student's t-test 4) Mean ± SD 5) Body fat mass 6) Fat free mass 7) Body mass index 8) Percent body fat 9) Waist-hip ratio 10) Visceral fat area 11) Fitness score 12) Systolic pressure 13) Diastolic pressure

Table 2
Serum lipid concentrations of the subjects
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1) Under 30% of energy ratio for fat source 2) Above 30% of energy ratio for fat source 3) Significance as determined by student's t-test 4) Mean ± SD 5) HDL-C: high density lipoprotein-cholesterol 6) LDL-C: low density lipoprotein-cholesterol 7) Atherogenic index = (Total cholesterol-HDL-C)/HDL-C 8) Cardiac risk factor = Total cholesterol/HDL-C 9) LDL-C/HDL-C ratio; LPH 10) TC/HDL-C ratio; THR

Table 3
Serum C-reactive protein and adiponectin concentrations of the subjects
kjn-45-303-i003

1) Under 30% of energy ratio for fat source 2) Above 30% of energy ratio for fat source 3) Significance as determined by student's t-test 4) C-reactive protein 5) Mean ± SD

*: p < 0.05

Table 4
Mean daily nutrient intakes of the subjects
kjn-45-303-i004

1) Under 30% of energy ratio for fat source 2) Above 30% of energy ratio for fat source 3) Significance as determined by student's t-test 4) Estimated energy requirement, Values are expressed as EER amount (% EER of intake) 5) Recommended nutrient intake based on dietary reference for Koreans (2010). Values are expressed as RNI amount (% RNI of intake) 6) Adequate intake based on dietary reference intakes for Koreans (2010). Values are expressed as AI amount (% AI of intake) 7) Mean ± SD 8) Total fatty acids 9) Saturated fatty acids 10) Monounsaturated fatty acids 11) Polyunsaturated fatty acids

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

Table 5
Daily fat intakes per 1,000 kcal in the subjects
kjn-45-303-i005

1) Under 30% of Energy Ratio for Fat source 2) Above 30% of Energy Ratio for Fat source 3) Significance as determined by student's t-test 4) Mean ± SD

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

Table 6
Major top 10 food sources contributed to total fat of the subjects
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1) Under 30% of energy ratio for fat source 2) Above 30% of energy ratio for fat source

Table 7
The amount of food intakes of the subjects
kjn-45-303-i007

1) Under 30% of energy ratio for fat source 2) Above 30% of energy ratio for fat source 3) Significance as determined by student's t-test 4) Mean ± SD

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

Table 8
Correlation coefficients between serum lipids, C-reactive protein, adiponectin and variables
kjn-45-303-i008

1) Body fat mass 2) Fat free mass 3) Body mass index 4) Percent body fat 5) Waist-hip ratio 6) Visceral fat area 7) Diastolic pressure 8) Total fatty acids 9) Monounsaturated fatty acids

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

Notes

This study was supported in part by the Soonchunhyang University Research Fund.

References

1. Hays NP, Galassetti PR, Coker RH. Prevention and treatment of type 2 diabetes: current role of lifestyle, natural product, and pharmacological interventions. Pharmacol Ther. 2008. 118(2):181–191.
crossref
2. Pokorski R. Effect of increasing body weight on morbidity and mortality in South Korea. J Insur Med. 2011. 42(2-4):78–84.
3. Song Y, Park MJ, Paik HY, Joung H. Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10-19 years. Int J Obes (Lond). 2010. 34(1):48–56.
crossref
4. Ministry of Health & Welfare, Korea Centers for Disease Control and Prevention. Korean Health Statistics 2010: Korea National Health and Nutrition Examination Survey (KNHANES V-1). 2011.
5. Galic S, Oakhill JS, Steinberg GR. Adipose tissue as an endocrine organ. Mol Cell Endocrinol. 2010. 316(2):129–139.
crossref
6. Scarpellini E, Tack J. Obesity and metabolic syndrome: an inflammatory condition. Dig Dis. 2012. 30(2):148–153.
crossref
7. Falcão-Pires I, Castro-Chaves P, Miranda-Silva D, Lourenço AP, Leite-Moreira AF. Physiological, pathological and potential therapeutic roles of adipokines. Drug Discov Today. 2012. 17(15-16):880–889.
crossref
8. Lee GR, Shin MK, Yoon DJ, Kim AR, Park NW, Yu R, Han IS. Topical application of capsaicin reduces visceral adipose fat by affecting adipokine levels in high-fat diet (HFD)-induced obese mice. Obesity (Silver Spring). 2012. Forthcoming.
crossref
9. Maury E, Brichard SM. Adipokine dysregulation, adipose tissue inflammation and metabolic syndrome. Mol Cell Endocrinol. 2010. 314(1):1–16.
crossref
10. Kim ES, Im JA, Kim KC, Park JH, Suh SH, Kang ES, Kim SH, Jekal Y, Lee CW, Yoon YJ, Lee HC, Jeon JY. Improved insulin sensitivity and adiponectin level after exercise training in obese Korean youth. Obesity (Silver Spring). 2007. 15(12):3023–3030.
crossref
11. Cox AJ, Agarwal S, Herrington DM, Carr JJ, Freedman BI, Bowden DW. C-reactive protein concentration predicts mortality in type 2 diabetes: the Diabetes Heart Study. Diabet Med. 2012. 29(6):767–770.
crossref
12. Kengne AP, Batty GD, Hamer M, Stamatakis E, Czernichow S. Association of C-reactive protein with cardiovascular disease mortality according to diabetes status: pooled analyses of 25,979 participants from four U.K. prospective cohort studies. Diabetes Care. 2012. 35(2):396–403.
crossref
13. Ridker PM, Morrow DA. C-reactive protein, inflammation, and coronary risk. Cardiol Clin. 2003. 21(3):315–325.
crossref
14. Ozuğuz U, Ergün G, Işık S, Gökay F, Tütüncü Y, Akbaba G, Berker D, Güler S. Association between C-reactive protein, carotid intima-media thickness and P-wave dispersion in obese premenopausal women: an observational study. Anadolu Kardiyol Derg. 2012. 12(1):40–46.
crossref
15. Lee SW, Jo HH, Kim MR, You YO, Kim JH. Association between obesity, metabolic risks and serum osteocalcin level in postmenopausal women. Gynecol Endocrinol. 2012. 28(6):472–477.
crossref
16. Montenegro-Neto AN, da Silva-Simões MO, de Medeiros AC, Portela Ada S, Ramos de Queiroz Mdo S, Cunha-Montenegro R, Irany-Knackfuss M. The correlation between anthropometric measurements and biochemical cardiovascular risk markers in the hypertensive elderly. Rev Salud Publica (Bogota). 2011. 13(3):421–432.
17. Balk EM, Lichtenstein AH, Chung M, Kupelnick B, Chew P, Lau J. Effects of omega-3 fatty acids on serum markers of cardiovascular disease risk: a systematic review. Atherosclerosis. 2006. 189(1):19–30.
crossref
18. Clifton PM. Diet and C-reactive protein. Curr Atheroscler Rep. 2003. 5(6):431–436.
crossref
19. Silva FM, de Almeida JC, Feoli AM. Effect of diet on adiponectin levels in blood. Nutr Rev. 2011. 69(10):599–612.
crossref
20. Reis CE, Bressan J, Alfenas RC. Effect of the diet components on adiponectin levels. Nutr Hosp. 2010. 25(6):881–888.
21. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972. 18(6):499–502.
crossref
22. Saito M, Ishimitsu T, Minami J, Ono H, Ohrui M, Matsuoka H. Relations of plasma high-sensitivity C-reactive protein to traditional cardiovascular risk factors. Atherosclerosis. 2003. 167(1):73–79.
crossref
23. Srirattana P, Boonyasirinant T. Correlation between high sensitive C-reactive protein and aortic stiffness using magnetic resonance imaging in patients with known/suspected coronary artery disease. J Med Assoc Thai. 2012. 95:Suppl 2. S105–S110.
24. Tolmay CM, Malan L, van Rooyen JM. The relationship between cortisol, C-reactive protein and hypertension in African and Causcasian women: the POWIRS study. Cardiovasc J Afr. 2012. 23(2):78–84.
crossref
25. Hong S, Kang YA, Cho BC, Kim DJ. Elevated serum C-reactive protein as a prognostic marker in small cell lung cancer. Yonsei Med J. 2012. 53(1):111–117.
crossref
26. Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC, Hu FB. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr. 2001. 73(1):61–67.
crossref
27. King DE, Egan BM, Geesey ME. Relation of dietary fat and fiber to elevation of C-reactive protein. Am J Cardiol. 2003. 92(11):1335–1339.
crossref
28. Lopez-Garcia E, Schulze MB, Fung TT, Meigs JB, Rifai N, Manson JE, Hu FB. Major dietary patterns are related to plasma concentrations of markers of inflammation and endothelial dysfunction. Am J Clin Nutr. 2004. 80(4):1029–1035.
crossref
29. Pirro M, Schillaci G, Savarese G, Gemelli F, Mannarino MR, Siepi D, Bagaglia F, Mannarino E. Attenuation of inflammation with short-term dietary intervention is associated with a reduction of arterial stiffness in subjects with hypercholesterolaemia. Eur J Cardiovasc Prev Rehabil. 2004. 11(6):497–502.
crossref
30. Maeda N, Takahashi M, Funahashi T, Kihara S, Nishizawa H, Kishida K, Nagaretani H, Matsuda M, Komuro R, Ouchi N, Kuriyama H, Hotta K, Nakamura T, Shimomura I, Matsuzawa Y. PPARgamma ligands increase expression and plasma concentrations of adiponectin, an adipose-derived protein. Diabetes. 2001. 50(9):2094–2099.
crossref
31. Chu SH, Lee MK, Ahn KY, Im JA, Park MS, Lee DC, Jeon JY, Lee JW. Chemerin and adiponectin contribute reciprocally to metabolic syndrome. PLoS One. 2012. 7(4):e34710.
crossref
32. McCullough RS, Edel AL, Bassett CM, Lavallée RK, Dibrov E, Blackwood DP, Ander BP, Pierce GN. The alpha linolenic acid content of flaxseed is associated with an induction of adipose leptin expression. Lipids. 2011. 46(11):1043–1052.
crossref
33. Desmarchelier C, Ludwig T, Scheundel R, Rink N, Bader BL, Klingenspor M, Daniel H. Diet-induced obesity in ad libitum-fed mice: food texture overrides the effect of macronutrient composition. Br J Nutr. 2012. 1–10.
crossref
34. Sharma N, Okere IC, Duda MK, Chess DJ, O'Shea KM, Stanley WC. Potential impact of carbohydrate and fat intake on pathological left ventricular hypertrophy. Cardiovasc Res. 2007. 73(2):257–268.
crossref
35. The Korean Nutrition Society. Dietary reference intakes for Koreans. 2010. Seoul:
36. Jang HB, Lee HY, Han YH, Song J, Kim KN, Hyun T. Changes in food and nutrient intakes of college students between 1999 and 2009. Korean J Community Nutr. 2011. 16(3):324–336.
crossref
37. Kim SH. A survey on dietary behaviors and liquid consumptions of university students in Kongju of Chungnam province in Korea. Korean J Nutr. 2009. 42(4):327–337.
crossref
38. Basu A, Devaraj S, Jialal I. Dietary factors that promote or retard inflammation. Arterioscler Thromb Vasc Biol. 2006. 26(5):995–1001.
crossref
39. Spence JD, Jenkins DJ, Davignon J. Dietary cholesterol and egg yolks: not for patients at risk of vascular disease. Can J Cardiol. 2010. 26(9):e336–e339.
crossref
40. Fernandez ML. Effects of eggs on plasma lipoproteins in healthy populations. Food Funct. 2010. 1(2):156–160.
crossref
41. Choi SN, Chung NY. Bone density, nutrient intake, blood composition and food habits in non-smoking and non-alcohol drinking male university students. Korean J Food Cult. 2010. 25(4):389–399.
42. Jung BM, Oh ES, Choi SM, Cha YS. Survey of alcoholic and non-alcoholic beverage preference in college students of the Chonnam area. Korean J Community Nutr. 2001. 6(3):290–296.
43. Hasselstrøm H, Hansen SE, Froberg K, Andersen LB. Physical fitness and physical activity during adolescence as predictors of cardiovascular disease risk in young adulthood Danish Youth and Sports Study An eight-year follow-up study. Int J Sports Med. 2002. 23:Suppl 1. S27–S31.
crossref
44. Murthy NS, Mukherjee S, Ray G, Ray A. Dietary factors and cancer chemoprevention: an overview of obesity-related malignancies. J Postgrad Med. 2009. 55(1):45–54.
crossref
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