The Effects of 12-Weeks Intensive Intervention Program on Cardiovascular Risk Factors, Adipocytokines and Nutrients Intakes in Industrial Male Workers

Kieun Moon; Ill Keun Park; Yeon Sang Jo; Yun Kyun Chang; Yun Mi Paek; Tae In Choi

doi:10.4163/kjn.2011.44.4.292

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Moon, Park, Jo, Chang, Paek, and Choi: The Effects of 12-Weeks Intensive Intervention Program on Cardiovascular Risk Factors, Adipocytokines and Nutrients Intakes in Industrial Male Workers

Research Article

Korean Journal of Nutrition

Korean Journal of Nutrition 2011; 44(4): 292-302.

Published online: 11 August 2011

DOI: https://doi.org/10.4163/kjn.2011.44.4.292

The Effects of 12-Weeks Intensive Intervention Program on Cardiovascular Risk Factors, Adipocytokines and Nutrients Intakes in Industrial Male Workers

Kieun Moon, Ill Keun Park, Yeon Sang Jo, Yun Kyun Chang, Yun Mi Paek, Tae In Choi

Radiation Health Research Institute, Korea&Hydro Nuclear Power Co., Ltd, Seoul 132-703, Korea.

To whom correspondence should be addressed. (choimd@khnp.co.kr)

Received 25 July 2011 Revised 15 August 2011 Accepted 19 August 2011

Abstract

Adipocytokines (adiponectin, leptin and resistin) are known to play a major role in development of cardiovascular disease (CVD) and intervention program is effective in reducing CVD risk factors. However, intervention program to improve the CVD risk factors including adipocytokines has been less studied. This study investigated the effects of 12-weeks worksite intervention program on cardiovascular risk factors, adipocytokines and nutrients intakes in industrial workers. 157 industrial male workers (32 metabolic syndrome (MS) subjects, 125 healthy subjects using age-matched stratified random sampling) received 5 face-to-face counseling based on their health profiles. Anthropometry, biochemical parameters and nutrients intakes were measured. The diagnosis of MS was adapted from modified NCEP-ATP III criteria (2001) and Asia-Pacific definition criteria (2000) for waist circumference (WC). After the intervention program, WC, BMI, SBP, insulin, leptin and intakes of total energy and fiber were significantly decreased (p < 0.05), while adiponectin was significantly increased (p < 0.05) in MS subjects. The WC, BMI, SBP, total cholesterol, LDL and HDL-cholesterol, HbA1c, leptin and intakes of total energy, protein and fat were significantly decreased (p < 0.05) and adiponectin was significantly increased (p < 0.05) in normal subjects. Multiple linear regression revealed that adiponectin was positively correlated with HDL-cholesterol (p < 0.01). Leptin was positively correlated with WC (p < 0.01), and resistin was positively correlated with HbA1c (p < 0.05) and intakes of total energy (p < 0.05), and negatively correlated with HDL-cholesterol (p < 0.05). The results of the 12 weeks intervention showed a positive impact on adipocytokines and nutrients intakes of industrial workers to reduce cardiovascular risk factors. Further research is needed to verify a tailored long-term worksite intervention program including adipocytokines as a protective factor for the CVD.

Keywords: intervention, cardiovascular risk factor, adipocytokines, nutrients intakes, industrial workers

Figures and Tables

Fig. 1

Serum adipocytokines concentration by metabolic syndrome. 1) Values are mean ± SD. Significantly different between MS (+) and MS (-) ^*: p < 0.05 by independent t-test.

Table 1

Anthropometric, metabolic variables and nutrients intakes characteristics of subjects

1) Values are mean ± SD 2) BMI: body mass index 3) SBP: systolic blood pressure 4) DBP: diastolic blood pressure 5) HOMA-IR: homeostasis model assessment of insulin 6) Significantly different between MS (+) and MS (-) by independent t-test

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

Table 2

Association between adipocytokines with the number of metabolic syndrome components

1) Values are mean ± SD 2) Significantly different between group by ANOVA 3) Values with different letters within a row are significantly different by Duncan post hoc test at p < 0.05

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

Table 3

Changes of anthropometric, metabolic variables and nutrients intakes after lifestyle intervention program

1) Values are mean ± SD 2) SBP: systolic blood pressure 3) DBP: diastolic blood pressure 4) HOMA-IR: homeostasis model assessment of insulin 5) Significantly different between baseline and after ^*: p < 0.05 by paired t-test 6) % change: [(After-baseline)/baseline × 100] 7) Significantly different between % change between MS (+) and MS (-) ^*: p < 0.05 by ANCOVA

Table 4

Partial correlation coefficients among adipocytokines, metabolic variables and dietary intakes by adjusted age

1) BMI: body mass index 2) SBP: systolic blood pressure 3) DBP: diastolic blood pressure 4) HOMA-IR: homeostasis model assessment of insulin 5) By partial correlation analysis

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

Table 5

Multiple linear regression analysis showing the contribution of risk factors to adipocytokines

1) BMI: body mass index 2) SBP: systolic blood pressure 3) DBP: diastolic blood pressure 4) HOMA-IR: homeostasis model assessment of insulin 5) By multiple linear regression analysis

Model 1: adjusted for age, waist circumference, BMI, SBP, DBP, total cholesterol, triglyceride, LDL-cholesterol, fasting glucose, HbA1c, Insulin, HOMA-IR, Model 2: adjusted for model 1 plus included dietary intakes (energy, protein, carbohydrates, fat, fiber)

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

Notes

This study was supported by a grant from the Korea Hydro and Nuclear Power Project (E08NJ22).

References

1. Statistics Korea. The cause of death statistics in 2009. 2010.

2. Meigs JB. Epidemiology of the metabolic syndrome, 2002. Am J Manag Care. 2002. 8:11 Suppl. S283–S292. quiz S293-296.

3. Oh HS, Jang M, Hwang MO, Cho SW, Paek YM, Choi TI, Park YK. Effect of 1 year e-mail nutrition education after face-to-face encounter at worksite: changes in cardiovascular risk factors. Korean J Nutr. 2009. 42(6):559–566.

4. Kershaw EE, Flier JS. Adipose tissue as an endocrine organ. J Clin Endocrinol Metab. 2004. 89(6):2548–2556.

5. Gannagé-Yared MH, Khalife S, Semaan M, Fares F, Jambart S, Halaby G. Serum adiponectin and leptin levels in relation to the metabolic syndrome, androgenic profile and somatotropic axis in healthy non-diabetic elderly men. Eur J Endocrinol. 2006. 155(1):167–176.

6. Park JY, Kim JW, Kim JM, Han Y, Park SK, Mok JY, Park MK, Lee HJ, Kim DK. Adiponectin concentrations in type 2 diabetic patients with or without metabolic syndrome. Korean Diabetes J. 2008. 32(3):224–235.

7. Zhang SX, Guo HW, Wan WT, Xue K. Nutrition education guided by dietary guidelines for Chinese residents on metabolic syndrome characteristics, adipokines and inflammatory markers. Asia Pac J Clin Nutr. 2011. 20(1):77–86.

8. Heo KH, Won YL, Ko KS, Kim KW. Effects of obesity on the physiological levels of adiponectin, leptin and diagnostic indices of metabolic syndrome in male workers. Korean J Occup Health Nurs. 2009. 18(1):44–54.

9. Kajikawa Y, Ikeda M, Takemoto S, Tomoda J, Ohmaru N, Kusachi S. Association of circulating levels of leptin and adiponectin with metabolic syndrome and coronary heart disease in patients with various coronary risk factors. Int Heart J. 2011. 52(1):17–22.

10. Osawa H, Ochi M, Tabara Y, Kato K, Yamauchi J, Takata Y, Nishida W, Onuma H, Shimizu I, Fujii Y, Miki T, Ohashi J, Makino H. Serum resistin is positively correlated with the accumulation of metabolic syndrome factors in type 2 diabetes. Clin Endocrinol (Oxf). 2008. 69(1):74–80.

11. Ryu ST, Park SO, Kim SH. The relation of serum adiponectin and resistin concentrations with metabolic risk factors. J Korean Soc Endocrinol. 2005. 20(5):444–451.

12. Kwak W, Won JU, Rhie J, Lee MS, Kang EJ, Roh J. A workplace cardiovascular health promotion program and its short-term health effects. Korean J Occup Environ Med. 2009. 21(1):46–52.

13. Kang JY, Cho SW, Lee JY, Sung SH, Park YK, Paek YM, Choi TI. The effects of a worksite on-line health education program on metabolic syndrome risk factors and nutrient intakes of male workers. Korean J Nutr. 2010. 43(1):57–68.

14. Racette SB, Deusinger SS, Inman CL, Burlis TL, Highstein GR, Buskirk TD, Steger-May K, Peterson LR. Worksite Opportunities for Wellness (WOW): effects on cardiovascular disease risk factors after 1 year. Prev Med. 2009. 49(2-3):108–114.

15. Groeneveld IF, Proper KI, van der Beek AJ, van Mechelen W. Sustained body weight reduction by an individual-based lifestyle intervention for workers in the construction industry at risk for cardiovascular disease: results of a randomized controlled trial. Prev Med. 2010. 51(3-4):240–246.

16. Baratta R, Amato S, Degano C, Farina MG, Patanè G, Vigneri R, Frittitta L. Adiponectin relationship with lipid metabolism is independent of body fat mass: evidence from both cross-sectional and intervention studies. J Clin Endocrinol Metab. 2004. 89(6):2665–2671.

17. Corpeleijn E, Feskens EJ, Jansen EH, Mensink M, Saris WH, Blaak EE. Lifestyle intervention and adipokine levels in subjects at high risk for type 2 diabetes: the Study on Lifestyle intervention and Impaired glucose tolerance Maastricht (SLIM). Diabetes Care. 2007. 30(12):3125–3127.

18. Lee SY, Lee KS, Koo JW, Yim HW, Kim HR, Park CY, Choi SK. Effectiveness of tailored health promotion program for reducing cardiovascular risk factors in subway workers. Korean J Occup Environ Med. 2006. 18(1):15–24.

19. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM. Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002. 346(6):393–403.

20. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F. American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005. 112(17):2735–2752.

21. WHO Western Pacific Region. International Association for the Study of Obesity. International Obesity Task Force. The Asia-Pacific perspective: redefining obesity and its treatment. 2000. Sydney, Australia: Health Communications.

22. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985. 28(7):412–419.

23. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001. 285(19):2486–2497.

24. Lee EH, Kim HK, Lee YH, Moon SY, Kwon EJ, Lee SH. Effectiveness of lifestyle intervention on the management of metabolic syndrome. J Korean Soc Health Educ Promot. 2007. 24(3):1–19.

25. Rosal MC, Ockene JK, Luckmann R, Zapka J, Goins KV, Saperia G, Mason T, Donnelly G. Coronary heart disease multiple risk factor reduction. Providers' perspectives. Am J Prev Med. 2004. 27:2 Suppl. 54–60.

26. Ryo M, Nakamura T, Kihara S, Kumada M, Shibazaki S, Takahashi M, Nagai M, Matsuzawa Y, Funahashi T. Adiponectin as a biomarker of the metabolic syndrome. Circ J. 2004. 68(11):975–981.

27. Yatagai T, Nagasaka S, Taniguchi A, Fukushima M, Nakamura T, Kuroe A, Nakai Y, Ishibashi S. Hypoadiponectinemia is associated with visceral fat accumulation and insulin resistance in Japanese men with type 2 diabetes mellitus. Metabolism. 2003. 52(10):1274–1278.

28. 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.

29. Utzschneider KM, Carr DB, Tong J, Wallace TM, Hull RL, Zraika S, Xiao Q, Mistry JS, Retzlaff BM, Knopp RH, Kahn SE. Resistin is not associated with insulin sensitivity or the metabolic syndrome in humans. Diabetologia. 2005. 48(11):2330–2333.

30. Malo E, Ukkola O, Jokela M, Moilanen L, Kähönen M, Nieminen MS, Salomaa V, Jula A, Kesäniemi YA. Resistin is an indicator of the metabolic syndrome according to five different definitions in the Finnish health 2000 survey. Metab Syndr Relat Disord. 2011. 9(3):203–210.

31. Muto T, Yamauchi K. Evaluation of a multicomponent workplace health promotion program conducted in Japan for improving employees' cardiovascular disease risk factors. Prev Med. 2001. 33(6):571–577.

32. Yeon JY, Kim MH. A study on blood lipid levels, nutrient intakes, and oxidation and inflammation markers of overweight and obese adults according to blood cholesterol levels in Korea. Korean J Food Nutr. 2011. 24(1):1–11.

33. Luc G, Empana JP, Morange P, Juhan-Vague I, Arveiler D, Ferrieres J, Amouyel P, Evans A, Kee F, Bingham A, Machez E, Ducimetiere P. Adipocytokines and the risk of coronary heart disease in healthy middle aged men: the PRIME Study. Int J Obes (Lond). 2010. 34(1):118–126.

34. Park KS. Relation between adiponectin and metabolic risk factors. J Korean Soc Endocrinol. 2005. 20(5):441–443.

35. Rokling-Andersen MH, Reseland JE, Veierød MB, Anderssen SA, Jacobs DR Jr, Urdal P, Jansson JO, Drevon CA. Effects of long-term exercise and diet intervention on plasma adipokine concentrations. Am J Clin Nutr. 2007. 86(5):1293–1301.

36. Kadoglou NP, Perrea D, Iliadis F, Angelopoulou N, Liapis C, Alevizos M. Exercise reduces resistin and inflammatory cytokines in patients with type 2 diabetes. Diabetes Care. 2007. 30(3):719–721.

37. Riccardi G, Giacco R, Rivellese AA. Dietary fat, insulin sensitivity and the metabolic syndrome. Clin Nutr. 2004. 23(4):447–456.

38. Park H, Kim E, Hwang M, Paek YM, Choi TI, Park YK. Effects of workplace nutrition education program tailored for the individual chronic disease risks. Korean J Nutr. 2010. 43(3):246–259.

39. Kim M, Kim J, Bae W, Kim S, Lee Y, Na W, Sohn C. Relationship between Nutrients intakes, dietary quality, and serum concentrations of inflammatory markers in metabolic syndrome patients. Korean J Community Nutr. 2011. 16(1):51–61.

40. Jang M, Kim HR, Hwang MO, Paek YM, Choi TI, Park YK. The effect of repeated nutrition education on health improvement program by diet quality index-international (DQI-I) evaluation in office workers. Korean J Community Nutr. 2010. 15(5):614–624.

41. Sohn TS, Lee JM, Chang SA, Son HS, Ku YM, Cha BY, Lee KW, Son HY, Kang SK. The relation of serum adipokines with metabolic risk factors in type 2 diabetic subjects. J Korean Diabetes Assoc. 2004. 28(6):521–529.

42. Yannakoulia M, Yiannakouris N, Blüher S, Matalas AL, Klimis-Zacas D, Mantzoros CS. Body fat mass and macronutrient intake in relation to circulating soluble leptin receptor, free leptin index, adiponectin, and resistin concentrations in healthy humans. J Clin Endocrinol Metab. 2003. 88(4):1730–1736.

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