Skip to main content

Advertisement

Log in

Different load intensity transition schemes to avoid plateau and no-response in lean body mass gain in postmenopausal women

  • Original Article
  • Published:
Sport Sciences for Health Aims and scope Submit manuscript

Abstract

Purpose

This study sought to investigate the impact of different schemes of load intensity transition (LIT, performed until, or close to, voluntary concentric failure) at 12 weeks on lean body mass (LBM) gains in postmenopausal women (PW) after a 24-weeks intervention. Moreover, since changes in LBM after resistance training (RT) vary widely from person to person, this study also investigated how the LIT affects low- and high-responders for RT-induced change in LBM.

Methods

Twenty-four participants were randomized into two schemes of LIT: from lower-load RT (LL, ~ 30% of 1RM) to higher-load RT (HL, ~ 80% of 1RM) (n = 12, loads necessary to perform 27–31 repetitions during 12 weeks plus 12 weeks with loads necessary to perform 8–12 repetitions) and from HL to LL (n = 12, loads necessary to perform 8–12 repetitions during 12 weeks performing plus 12 weeks with loads necessary to perform 27–31 repetitions). LBM (DXA) was measured at baseline, after 12 and 24 weeks of training.

Results

There was a progression of RT volume (load intensity x number of repetitions) (P Time < 0.001) in both schemes (Post hoc: P < 0.05); however, greater volume progression was observed in the LL group in both phases. LL to HL and HL to LL similarly stimulating LBM gains after 12 and 24 weeks of RT (P < 0.05). Low-responders (no-gains in LBM at 12 weeks of RT) and high-responders for RT at 12 weeks demonstrate LBM gains after the LIT (i.e., at 24 weeks), regardless of the schemes used.

Conclusions

Our study suggests that LIT, regardless of the schemes used, is an effective strategy of RT-progression (after 12 weeks) for increasing LBM in PW (low- and high-responders).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Cruz-Jentoft AJ et al (2019) Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 48(1):16–31. https://doi.org/10.1093/ageing/afy169 (PMID: 30312372)

    Article  PubMed  Google Scholar 

  2. Chodzko-Zajko WJ, American College of Sports Medicine position stand et al (2009) Exercise and physical activity for older adults. Med Sci Sports Exerc 41(7):1510–1530. https://doi.org/10.1249/MSS.0b013e3181a0c95c (PMID: 19516148)

    Article  PubMed  Google Scholar 

  3. Greendale GA et al (2019) Changes in body composition and weight during the menopause transition. JCI Insight 4(5):e124865. https://doi.org/10.1172/jci.insight.124865 (PMID: 30843880)

    Article  PubMed Central  Google Scholar 

  4. Fragala MS et al (2019) Resistance training for older adults: position statement from the National Strength and Conditioning Association. J Strength Cond Res 33(8):2019–2052. https://doi.org/10.1519/JSC.0000000000003230 (PMID: 31343601)

    Article  PubMed  Google Scholar 

  5. Churchward-Venne TA et al (2015) There are no nonresponders to resistance-type exercise training in older men and women. J Am Med Dir Assoc 16(5):400–411. https://doi.org/10.1016/j.jamda.2015.01.071 (PMID: 25717010)

    Article  PubMed  Google Scholar 

  6. de Branco FMS et al (2019) Protein timing has no effect on lean mass, strength and functional capacity gains induced by resistance exercise in postmenopausal women: a randomized clinical trial. Clin Nutr 39(1):57–66. https://doi.org/10.1016/j.clnu.2019.01.008 (PMID: 30691866)

    Article  CAS  PubMed  Google Scholar 

  7. Orsatti FL et al (2008) Plasma hormones, muscle mass and strength in resistance-trained postmenopausal women. Maturitas 59(4):394–404. https://doi.org/10.1016/j.maturitas.2008.04.002 (PMID: 18499368)

    Article  CAS  PubMed  Google Scholar 

  8. Counts BR et al (2017) Muscle growth: to infinity and beyond? Muscle Nerve 56(6):1022–1030. https://doi.org/10.1002/mus.25696 (PMID: 28543604)

    Article  PubMed  Google Scholar 

  9. Orsatti FL et al (2012) Muscle mass gain after resistance training is inversely correlated with trunk adiposity gain in postmenopausal women. J Strength Cond Res 26(8):2130–2139. https://doi.org/10.1519/JSC.0b013e318239f837 (PMID: 21986696)

    Article  PubMed  Google Scholar 

  10. Orsatti FL et al (2010) Effects of resistance training and soy isoflavone on body composition in postmenopausal women. Obstet Gynecol Int 2010:156037. https://doi.org/10.1155/2010/156037 (PMID: 20490353)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Damas F et al (2015) A review of resistance training-induced changes in skeletal muscle protein synthesis and their contribution to hypertrophy. Sports Med 45(6):801–807. https://doi.org/10.1007/s40279-015-0320-0 (PMID: 25739559)

    Article  PubMed  Google Scholar 

  12. Schoenfeld BJ et al (2015) Effects of low- vs. high-load resistance training on muscle strength and hypertrophy in well-trained men. J Strength Cond Res 29(10):2954–2963. https://doi.org/10.1519/JSC.0000000000000958 (PMID: 25853914)

    Article  PubMed  Google Scholar 

  13. ACSM (American College of Sports Medicine position stand) (2009) Progression models in resistance training for healthy adults. Med Sci Sports Exerc 41(3):687–708. https://doi.org/10.1249/MSS.0b013e3181915670 (PMID: 19204579)

    Article  Google Scholar 

  14. Schoenfeld BJ et al (2017) Strength and hypertrophy adaptations between low- vs. high-load resistance training: a systematic review and meta-analysis. J Strength Cond Res 31(12):3508–3523. https://doi.org/10.1519/JSC.0000000000002200 (PMID: 28834797)

    Article  PubMed  Google Scholar 

  15. Carneiro MAS et al (2020) Effects of resistance training at different loads on inflammatory biomarkers, muscle mass, muscular strength, and physical performance in postmenopausal women. J Strength Cond Res. https://doi.org/10.1519/JSC.0000000000003768 (PMID: 32947569. Ahead of print)

    Article  PubMed  Google Scholar 

  16. Vieira AF et al (2021) Effects of resistance training performed to failure or not to failure on muscle strength, hypertrophy, and power output: a systematic review with meta-analysis. J Strength Cond Res 35(4):1165–1175. https://doi.org/10.1519/JSC.0000000000003936 (PMID: 33555822)

    Article  PubMed  Google Scholar 

  17. Jackson CG et al (1990) Skeletal muscle fiber area alterations in two opposing modes of resistance-exercise training in the same individual. Eur J Appl Physiol Occup Physiol 61(1–2):37–41. https://doi.org/10.1007/BF00236691 (PMID: 2149702)

    Article  CAS  PubMed  Google Scholar 

  18. Prestes J et al (2009) Comparison of linear and reverse linear periodization effects on maximal strength and body composition. J Strength Cond Res 23(1):266–274. https://doi.org/10.1519/JSC.0b013e3181874bf3 (PMID: 19057409)

    Article  PubMed  Google Scholar 

  19. Rhea MR et al (2003) A comparison of linear and daily undulating periodized programs with equated volume and intensity for local muscular endurance. J Strength Cond Res 17(1):82–87. https://doi.org/10.1519/1533-4287(2003)017%3c0082:acolad%3e2.0.co;2 (PMID: 12580661)

    Article  PubMed  Google Scholar 

  20. Schoenfeld BJ (2013) Potential mechanisms for a role of metabolic stress in hypertrophic adaptations to resistance training. Sports Med 43(3):179–194. https://doi.org/10.1007/s40279-013-0017-1 (PMID: 23338987)

    Article  PubMed  Google Scholar 

  21. Schoenfeld BJ (2010) The mechanisms of muscle hypertrophy and their application to resistance training. J Strength Cond Res 24(10):2857–2872. https://doi.org/10.1519/JSC.0b013e3181e840f3 (PMID: 20847704)

    Article  PubMed  Google Scholar 

  22. Wackerhage H et al (2019) Stimuli and sensors that initiate skeletal muscle hypertrophy following resistance exercise. J Appl Physiol 126(1):30–43. https://doi.org/10.1152/japplphysiol.00685.2018 (PMID: 30335577)

    Article  CAS  PubMed  Google Scholar 

  23. Ahtiainen JP et al (2016) Heterogeneity in resistance training-induced muscle strength and mass responses in men and women of different ages. Age (Dordr) 38(1):10. https://doi.org/10.1007/s11357-015-9870-1 (PMID: 26767377)

    Article  Google Scholar 

  24. Buckinx F et al (2018) Pitfalls in the measurement of muscle mass: a need for a reference standard. J Cachexia Sarcopenia Muscle 9(2):269–278. https://doi.org/10.1002/jcsm.12268 (PMID: 29349935)

    Article  PubMed  PubMed Central  Google Scholar 

  25. de Castro Franco CM et al (2019) Lower-load is more effective than higher-load resistance training in increasing muscle mass in young women. J Strength Cond Res 33:S152–S158. https://doi.org/10.1519/JSC.0000000000002970 (PMID: 30640303)

    Article  Google Scholar 

  26. Gomes GK et al (2019) High-frequency resistance training is not more effective than low-frequency resistance training in increasing muscle mass and strength in well-trained men. J Strength Cond Res 33:S130–S139. https://doi.org/10.1519/JSC.0000000000002559 (PMID: 29489727)

    Article  PubMed  Google Scholar 

  27. Buckner SL et al (2019) The basics of training for muscle size and strength: a brief review on the theory. Med Sci Sports Exerc 52(3):645–653. https://doi.org/10.1249/MSS.0000000000002171 (PMID: 31652235)

    Article  Google Scholar 

  28. Damas F et al (2019) Individual muscle hypertrophy and strength responses to high vs. low resistance training frequencies. J Strength Cond Res 33(4):897–901. https://doi.org/10.1519/JSC.0000000000002864 (PMID: 30289872)

    Article  PubMed  Google Scholar 

  29. Mann S et al (2018) Programming and supervision of resistance training leads to positive effects on strength and body composition: results from two randomised trials of community fitness programmes. BMC Public Health 18(1):420. https://doi.org/10.1186/s12889-018-5289-9 (PMID: 29587703)

    Article  PubMed  PubMed Central  Google Scholar 

  30. Mazzetti SA et al (2000) The influence of direct supervision of resistance training on strength performance. Med Sci Sports Exerc 32(6):1175–1184. https://doi.org/10.1097/00005768-200006000-00023 (PMID: 10862549)

    Article  CAS  PubMed  Google Scholar 

  31. Carneiro MAS et al (2021) Effect of whole-body resistance training at different load intensities on circulating inflammatory biomarkers, body fat, muscular strength, and physical performance in postmenopausal women. Appl Physiol Nutr Metab 46(8):925–933. https://doi.org/10.1139/apnm-2020-0746 (PMID: 34283660. Ahead of print)

    Article  CAS  PubMed  Google Scholar 

  32. Murlasits Z et al (2020) Muscular adaptations to periodized resistance-training in older adults. Sci Sports 35(4):216–222. https://doi.org/10.1016/j.scispo.2019.10.007

    Article  Google Scholar 

  33. Orsatti FL et al (2014) Effects of resistance training frequency on body composition and metabolics and inflammatory markers in overweight postmenopausal women. J Sports Med Phys Fitness 54(3):317–325 (PMID: 24739294)

    CAS  Google Scholar 

  34. Murlasits Z et al (2012) Effect of resistance training frequency on physiological adaptations in older adults. J Exerc Sci Fit 10(1):28–32

    Article  Google Scholar 

  35. de Oliveira Júnior GN et al (2020) Resistance training volume enhances muscle hypertrophy, but not strength in postmenopausal women: a randomized controlled trial. J Strength Cond Res. https://doi.org/10.1519/JSC.0000000000003601 (PMID: 32569127. Ahead of print)

    Article  PubMed  Google Scholar 

  36. Lopez P et al (2021) Resistance training load effects on muscle hypertrophy and strength gain: systematic review and network meta-analysis. Med Sci Sports Exerc 53(6):1206–1216. https://doi.org/10.1249/MSS.0000000000002585 (PMID: 33433148)

    Article  CAS  PubMed  Google Scholar 

  37. Kumar V et al (2012) Muscle protein synthetic responses to exercise: effects of age, volume, and intensity. J Gerontol A Biol Sci Med Sci 67(11):1170–1177. https://doi.org/10.1093/gerona/gls141 (PMID: 22859389)

    Article  CAS  PubMed  Google Scholar 

  38. Peterson MD et al (2011) Influence of resistance exercise on lean body mass in aging adults: a meta-analysis. Med Sci Sports Exerc 43(2):249–258. https://doi.org/10.1249/MSS.0b013e3181eb6265 (PMID: 20543750)

    Article  PubMed  PubMed Central  Google Scholar 

  39. Rothney MP et al (2012) Precision of GE Lunar iDXA for the measurement of total and regional body composition in nonobese adults. J Clin Densitom 15(4):399–404. https://doi.org/10.1016/j.jocd.2012.02.009 (PMID: 22542222)

    Article  PubMed  Google Scholar 

  40. Pickering C et al (2019) Do non-responders to exercise exist-and if so, what should we do about them? Sports Med 49(1):1–7. https://doi.org/10.1007/s40279-018-01041-1 (PMID: 30560423)

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This study was supported in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES, Code 001) and Fundação de Amparo e Pesquisa de Minas Gerais (FAPEMIG).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fábio L. Orsatti.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest regarding the publication of this paper.

Ethical approval

This study was approved by the Local Ethical Committee (no. 85052218.0.0000.5154) and all participants signed an informed consent form before participation. All procedures performed herein were following the Ethical Standards of the Institutional and National Research Committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Written informed consent was obtained from all individual women included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Carneiro, M.A.S., de Oliveira Júnior, G.N., Sousa, J.F.R. et al. Different load intensity transition schemes to avoid plateau and no-response in lean body mass gain in postmenopausal women. Sport Sci Health 18, 1359–1368 (2022). https://doi.org/10.1007/s11332-022-00907-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11332-022-00907-2

Keywords

Navigation