Article Data

  • Views 1327
  • Dowloads 189

Original Research

Open Access

EFFECT OF RESISTANCE TRAINING AND DETRAINING ON METABOLIC MARKERS

  • Jung-Kyu Kim1
  • Sunghwun Kang2
  • Kyu-Min Park2

1Laboratory of Exercise Physiology, Department of Sport Leisure, College of Design Sports, Kangwon National University, Samcheok-si, Republic of Korea

2Laboratory of Exercise Physiology, Department of Sport Science, College of Art and Culture, Kangwon National University, Chunchoen-si, Republic of Korea

DOI: 10.22374/jomh.v15i2.125 Vol.15,Issue 2,April 2019 pp.36-46

Published: 01 April 2019

*Corresponding Author(s): Kyu-Min Park E-mail: katc-kyumin@kangwon.ac.kr

Abstract

Background and objective

The aim of this study was to determine how resistance training and detraining later affected the growth factors, inflammatory markers, and bone metabolism markers in healthy male college students.

Material and methods

Twenty-two young adults participated in 12 weeks weight training (WT) program. Exercise intensity for WT group included the following: step1, 70% of 1 repetition maximum (1RM); step 2, 80% of 1RM; and step3, 90% of 1RM. After 12 weeks, were classified to the 6 weeks CT(continued training group) and 6 weeks DT(detraining group). In the body composition test, height, weight, body mass index (BMI), %fat, and lean body mass (LBM) were measured by electric impedance. Blood collection was carried out before, after 6 weeks, after 12 weeks, and after 18 weeks of training. In blood analysis, growth factors (GH, IGF-1, and testosterone), inflammatory markers [IL-6, tumor necrosis factor-a (TNF-a), and c-reactive protein (CRP)], and bone metabolism markers [osteocalcin (OC) and alkaline phosphatase (ALP)] were analyzed.

Results

Results showed that IGF-1 level was significantly decreased after 12 weeks of training compared to that prior to training. Testosterone level was also significantly decreased after 6 weeks and 12 weeks of training. Levels of IL-6, TNF-a, and CRP showed no significant differences by training period. Both OC and ALP levels significantly increased after 6 weeks and 12 weeks of training compared to those prior to training. Detraining period IGF-1 level after 18 weeks was higher than that after 12 weeks in the CT group. IL-6 level after 18 weeks was lower compared to that at 12 weeks in the CT group. TNF-a level after 18 weeks was lower compared to that after 12 weeks in both groups. ALP level after 18 weeks was significantly higher compared to that after 12 weeks in the CT group.

Conclusions

Resistance training induced bone metabolic markers (OC and ALP) after 12 weeks. In addition, train-ing period of more than 18 weeks is needed to reduce inflammatory markers (IL-6 and TNF-a). Six weeks of detraining does not affect metabolic markers in healthy young adults.

Keywords

growth factors; inflammatory markers; bone metabolic markers

Cite and Share

Jung-Kyu Kim,Sunghwun Kang,Kyu-Min Park. EFFECT OF RESISTANCE TRAINING AND DETRAINING ON METABOLIC MARKERS. Journal of Men's Health. 2019. 15(2);36-46.

References

1. Hosseini SRA, Moienneia N, Rad MM. The effect of two intensities resistance training on muscle growth regulatory myokines in sedentary young women. Obes Med. 2017;5:25–28. https://doi.org/10.1016/j.obmed.2017.01.004

2. Phillips SM, Hartman JW, Wilkinson SB. Dietary protein to support anabolism with resis-tance exercise in young men. J Am Col Nutr. 2005;24:134S–139S. https://doi.org/10.1080/0731 5724.2005.10719454

3. Kraemer WJ, Ratamess NA. Hormonal responses and adaptations to resistance exercise and train-ing. Sports Med. 2005;35:339–361. https://doi. org/10.2165/00007256-200535040-00004

4. Ahtiainen JP, Pakarinen A, Alen M, et al. Muscle hypertrophy hormonal adaptations and strength development during strength training in strength-trained and untrained men. Eur J Appl Physiol. 2003;89:555–563. https://doi.org/10.1007/s00421- 003-0833-3

5. Ryan AS, Nicklas BJ. Reductions in plasma cytokine levels with weight loss improve insu-lin sensitivity in overweight and obese post-menopausal women. Diabetes Care. 2004;27: 1699–1705. https://doi.org/10.2337/diacare.27. 7.1699

6. Stewart KJ, Bacher AC, Hees PS, et al. Exercise effects on bone mineral density: Relationships to changes in fitness and fatness. Am J Prev Med. 2005;28:453–460. https://doi.org/10.1016/j.amepre. 2005.02.003

7. Akesson K, Vergnaud P, Delmas PD. Serum osteo-calcin increases during fracture healing in elderly women with hip fracture. Bone. 1995;16:427–430. https://doi.org/10.1016/8756-3282(95)90187-6

8. Schoenau E, Rauch F. Biochemical measure-ments of bone metabolism in childhood and ado-lescence. J Lab Med. 2003;27:32–42. https://doi. org/10.1046/j.1439-0477.2003.02046.x

9. Creighton DL, Morgan AL, Boardley D, et al. Weight-bearing exercise and markers of one turnover in female athletes. J Appl Physiol. 2001;90:565–570. https://doi.org/10.1152/jappl. 2001.90.2.565

 10. Snow-Harter CM. Bone health and prevention of osteoporosis in active and athletic women. Clin Sports Med. 1994;13:389–404.

 11. Lim JS, Jang GC, Moon KR, et al. Combined aerobic and resistance exercise is effective for achieving weight loss and reducing cardiovascu-lar risk factors without deteriorating bone health in obese young adults. Ann Pediatr Endocrinol Metab. 2013;18:26–31. https://doi.org/10.6065/apem.2013.18.1.26

 12. Humphries B, Newton RU, Bronks R, et al. Effect of exercise intensity on bone density, strength, and calcium turnover in older women. Med Sci Sports Exerc. 2000;32:1043–1050. https://doi. org/10.1097/00005768-200006000-00002

 13. Huuskonen J, Väisänen S, Kröger H, et al. Regular physical exercise and bone mineral density: A four-year controlled randomized trial in middle-aged men. The DNASCO study. Osteoporos Int. 2001;12: 349–355. https://doi.org/10.1007/s001980170101

 14. Rector RS, Loethen J, Ruebel M, et al. Serum markers of bone turnover are increased by modest weight loss with or without weight-bearing exer-cise in overweight premenopausal women. App Physiol Nutr Metab. 2009;34:933–941. https://doi.org/10.1139/H09-098

 15. Lester ME, Urso ML, Evans RK, et al. Influence of exercise mode and osteogenic index on bone biomarker responses during short-term physi-cal training. Bone. 2009;45:768–776. https://doi. org/10.1016/j.bone.2009.06.001

 16. Simpson RJ, Lowder TW, Spielmann G, et al. Exercise and the aging immune system. Ageing Res Rev. 2012;11:404–420. https://doi.org/10.1016/j. arr.2012.03.003

 17. Forti LN, Van Roie E, Njemini R, et al. Effects of resistance training at different loads on inflammatory markers in young adults. Eur J Appl Physiol. 2017;117:511–519. https://doi. org/10.1007/s00421-017-3548-6

 18. Ho SS, Dhaliwal SS, Hills P, et al. Effects of chronic exercise training on inflammatory markers in Australian overweight and obese individuals in a randomized controlled trial. Inflammation. 2013;36:625–632. https://doi.org/ 10.1007/s10753-012-9584-9

 19. Fonseca JE, Santos MJ, Canhao H, et al. Interleukin-6 as a player in systemic inflamma-tion and joint destruction. Autoimmun Rev. 2009;8:538–542. https://doi.org/10.1016/j.autrev. 2009.01.012

 20. Ridker PM. Clinical application of C-reactive pro-tein for cardiovascular disease detection and pre-vention. Circulation. 2003;107:363–369. https://doi.org/10.1161/01.CIR.0000053730.47739.3C

 21. Mujika I, Padilla S. Detraining: Loss of training-induced physiological and perfor-mance adaptations. Part I. Sports Med. 2000; 30:79–87. https://doi.org/10.2165/00007256-200030020-00002

 22. Fatouros IG, Kambas A, Katrabasas I, et al. Strength training and detraining effects on mus-cular strength, anaerobic power, and mobility of inactive older men are intensity dependent. Br J Sports Med. 2005;39:776–780. https://doi. org/10.1136/bjsm.2005.019117

 23. Ivey FM, Tracy BL, Lemmer JT, et al. Effects of strength training and detraining on muscle qual-ity: Age and gender comparisons. J Gerontol A Biol Sci Med Sci. 2000;55:B152–B157. https://doi. org/10.1093/gerona/55.3.B152

 24. Sforzo GA, McMains BG, Black D, et al. Resilience to exercise detraining in healthy older people. J Am Geritar Soc. 1995;43:209–215. https://doi. org/10.1111/j.1532-5415.1995.tb07324.x

 25. Lemmer JT, Hurlbut DE, Martel GF, et al. Age and gender responses to strength training and detraining. Med Sci Sports Exerc. 2000;32e:1505–1512. https://doi.org/10.1097/00005768-200008000-00021

 26. Bachile TR, Earle RW. Essentials of strength training and conditioning. 2nd ed. IL: Human Kinetics. Champaign. 2000.

 27. Andon MB, Smith KT, Bracker M, et al. Spinal bone density and calcium intake in healthy postmenopausal women. Am J Clin Nutr. 1991;54:927–929. https://doi.org/10.1093/ajcn/54.5.927

 28. Lehtonen-Veromaa M, Möttönen T, Irjala K, et al. A 1-year prospective study on the relationship between physical activity, markers of bone metab-olism, and bone acquisition in peripubertal girls. J Clin Endocrinol Metabol. 2000;85:3726–32. https://doi.org/10.1210/jc.85. 10.3726

 29. Hinton PS, Rector RS, Thomas TR. Weight-bearing, aerobic exercise increases markers of bone formation during short-term weight loss in overweight and obese men and women. Metabolism. 2006;55:1616–1618. https://doi. org/10.1016/j.metabol.2006.07.023

 30. Alghadir AH, Aly FA, Gabr SA. Effect of moderate aerobic training on bone metabolism indices among adult humans. Pak J Med Sci. 2014;30:840–844. https://doi.org/10.12669/pjms.304.4624

 31. Franck H, Beuker F, Gurk S. The effect of phys-ical activity on bone turnover in young adults. Exp Clin Endocrinol. 1991;98:42–46. https://doi. org/10.1055/s-0029-1211099

 32. Shah PK. Circulating markers of inflammation for vascular risk prediction: Are they ready for prime time. Circulation. 2000;101:1758–1759. https://doi.org/10.1161/01.CIR.101.15.1758

 33. Sesso HD, Wang L, Buring JE, et al. Comparison of interleukin-6 and C-reactive protein for the risk of developing hypertension in women. Hypertension. 2007;49:304–310. https://doi. org/10.1161/01.HYP.0000252664.24294.ff

 34. Mosadeghi M, Nourizadeh N. The effects of the continuous and intermittent resistance train-ing on IL-6 and CRP of young men of biology. IJBPAS. 2015;4:5749–5758.

 35. Ryan AS, Ivey FM, Hurlbut DE, et al. Regional bone mineral density after resistive training in young and older men and women. Scan J Med Sci Sports. 2004;14:16–23. https://doi. org/10.1111/j.1600-0838.2003.00328.x

 36. Keller C, Steensberg A, Hansen AK, Fischer CP, Plomgaard P, Pedersen BK. Effect of exer-cise, training, and glycogen availability on IL-6 receptor expression in human skeletal muscle. J App Physiol. 2005;99:2075–2079. https://doi. org/10.1152/japplphysiol.00590.2005

 37. Nicklas BJ, Ambrosius W, Messier SP, et al. Diet-induced weight loss, exercise, and chronic inflammation in older, obese adults: A ran-domized controlled clinical trial. Am J Clin Nutr. 2004;79:544–551. https://doi.org/10.1093/ajcn/79.4.544

Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Directory of Open Access Journals (DOAJ) DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.

SCImago The SCImago Journal & Country Rank is a publicly available portal that includes the journals and country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.)

Publication Forum - JUFO (Federation of Finnish Learned Societies) Publication Forum is a classification of publication channels created by the Finnish scientific community to support the quality assessment of academic research.

Scopus: CiteScore 0.7 (2022) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Norwegian Register for Scientific Journals, Series and Publishers Search for publication channels (journals, series and publishers) in the Norwegian Register for Scientific Journals, Series and Publishers to see if they are considered as scientific. (https://kanalregister.hkdir.no/publiseringskanaler/Forside).

Submission Turnaround Time

Conferences

Top