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Influencing factors for the decline of limb muscle strength and the association with all-cause mortality: evidence from a nationwide population-based cohort study

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Abstract

Background

The decline of muscle strength, a typical characteristic of sarcopenia, greatly affects aging-related health outcomes; however, prospective data on influencing factors and mortality in the Chinese population are relatively sparse.

Aims

We investigated the influencing factors for the declined limb muscle strength and the association with all-cause mortality among the elderly Chinese individuals aged ≥ 65 years in a large long-term prospective cohort study.

Methods

We used data from the China Health and Retirement Longitudinal Study (CHARLS). Logistic regression analyses were performed to investigate the influencing factors of declined limb muscle strength. Cox proportional hazard models were used to analyze the impact on all-cause mortality, whose performance was evaluated by train-test cross-validation.

Results

The prevalences of declined upper and lower limb strength, which were defined by low hand grip strength (HS) and gait speed (GS), respectively, were 34.4% and 59.7%. The declined HS was significantly associated with older age (p < 0.001), female (p < 0.001), lower educational level (p < 0.001), lower BMI (p < 0.001), and combined with chronic diseases (p = 0.001). Moreover, the declined limb muscle strength was correlated with all-cause mortality (HR: 1.13, 95% CI 1.03–1.21 for HS; HR: 1.09, 95% CI 1.04–1.15 for GS), according to a multi-adjusted model with moderate predictive ability (C-index: 0.714, AUC of 7 year follow-up: 0.716).

Conclusions

The decline of limb muscle strength was prevalent among elderly Chinese individuals and had a strong impact on all-cause mortality. Identification of key populations and tailored interventions on their influencing factors should be implemented in further research.

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Data availability

Details of how to access the CHARLS data and details of the data release schedule are available from http://charls.pku.edu.cn/pages/data/111/zh-cn.html.

References

  1. Rosenberg IH (1997) Sarcopenia: origins and clinical relevance. J Nutr 127:990s-s991. https://doi.org/10.1093/jn/127.5.990S

    Article  CAS  PubMed  Google Scholar 

  2. Cruz-Jentoft AJ, Sayer AA (2019) Sarcopenia. Lancet 393:2636–2646. https://doi.org/10.1016/s0140-6736(19)31138-9

    Article  PubMed  Google Scholar 

  3. Kim H, Hirano H, Edahiro A et al (2016) Sarcopenia: prevalence and associated factors based on different suggested definitions in community-dwelling older adults. Geriatr Gerontol Int 16:110–122. https://doi.org/10.1111/ggi.12723

    Article  PubMed  Google Scholar 

  4. Cesari M, Pahor M, Lauretani F et al (2009) Skeletal muscle and mortality results from the InCHIANTI Study. J Gerontol A Biol Sci Med Sci 64:377–384. https://doi.org/10.1093/gerona/gln031

    Article  PubMed  Google Scholar 

  5. Newman AB, Kupelian V, Visser M et al (2006) Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort. J Gerontol A Biol Sci Med Sci 61:72–77. https://doi.org/10.1093/gerona/61.1.72

    Article  PubMed  Google Scholar 

  6. Cruz-Jentoft AJ, Bahat G, Bauer J et al (2019) Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 48:601. https://doi.org/10.1093/ageing/afz046

    Article  PubMed  PubMed Central  Google Scholar 

  7. Cruz-Jentoft AJ, Baeyens JP, Bauer JM et al (2010) Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people. Age Ageing 39:412–423. https://doi.org/10.1093/ageing/afq034

    Article  PubMed  PubMed Central  Google Scholar 

  8. Clark BC, Manini TM (2008) Sarcopenia =/= dynapenia. J Gerontol A Biol Sci Med Sci 63:829–834. https://doi.org/10.1093/gerona/63.8.829

    Article  PubMed  Google Scholar 

  9. Cooper R, Kuh D, Cooper C et al (2011) Objective measures of physical capability and subsequent health: a systematic review. Age Ageing 40:14–23. https://doi.org/10.1093/ageing/afq117

    Article  PubMed  Google Scholar 

  10. Li R, Xia J, Zhang XI et al (2018) Associations of muscle mass and strength with all-cause mortality among us older adults. Med Sci Sports Exerc 50:458–467. https://doi.org/10.1249/mss.0000000000001448

    Article  PubMed  PubMed Central  Google Scholar 

  11. Chen LK, Liu LK, Woo J et al (2014) Sarcopenia in Asia: consensus report of the Asian working group for sarcopenia. J Am Med Dir Assoc 15:95–101. https://doi.org/10.1016/j.jamda.2013.11.025

    Article  PubMed  Google Scholar 

  12. Legrand D, Vaes B, Matheï C et al (2014) Muscle strength and physical performance as predictors of mortality, hospitalization, and disability in the oldest old. J Am Geriatr Soc 62:1030–1038. https://doi.org/10.1111/jgs.12840

    Article  PubMed  Google Scholar 

  13. Guadalupe-Grau A, Carnicero JA, Gómez-Cabello A et al (2015) Association of regional muscle strength with mortality and hospitalisation in older people. Age Ageing 44:790–795. https://doi.org/10.1093/ageing/afv080

    Article  PubMed  Google Scholar 

  14. Gale CR, Martyn CN, Cooper C et al (2007) Grip strength, body composition, and mortality. Int J Epidemiol 36:228–235. https://doi.org/10.1093/ije/dyl224

    Article  PubMed  Google Scholar 

  15. Abe T, Kitamura A, Taniguchi Y et al (2019) Pathway from gait speed to incidence of disability and mortality in older adults: a mediating role of physical activity. Maturitas 123:32–36. https://doi.org/10.1016/j.maturitas.2019.02.002

    Article  PubMed  Google Scholar 

  16. García-Hermoso A, Cavero-Redondo I, Ramírez-Vélez R et al (2018) muscular strength as a predictor of all-cause mortality in an apparently healthy population: a systematic review and meta-analysis of data from approximately 2 million men and women. Arch Phys Med Rehabil 99:2100–13.e5. https://doi.org/10.1016/j.apmr.2018.01.008

    Article  PubMed  Google Scholar 

  17. Zhao Y, Hu Y, Smith JP et al (2014) Cohort profile: the China health and retirement longitudinal study (CHARLS). Int J Epidemiol 43:61–68. https://doi.org/10.1093/ije/dys203

    Article  PubMed  Google Scholar 

  18. Zhang Y, Zhou L, Liu S et al (2020) Prevalence, correlates and outcomes of multimorbidity among the middle-aged and elderly: findings from the China health and retirement longitudinal study. Arch Gerontol Geriatr 90:104135. https://doi.org/10.1016/j.archger.2020.104135

    Article  PubMed  Google Scholar 

  19. Newman AB, Haggerty CL, Goodpaster B et al (2003) Strength and muscle quality in a well-functioning cohort of older adults: the health, aging and body composition study. J Am Geriatr Soc 51:323–330. https://doi.org/10.1046/j.1532-5415.2003.51105.x

    Article  PubMed  Google Scholar 

  20. Welmer AK, Kåreholt I, Angleman S et al (2012) Can chronic multimorbidity explain the age-related differences in strength, speed and balance in older adults? Aging Clin Exp Res 24:480–489. https://doi.org/10.3275/8584

    Article  PubMed  Google Scholar 

  21. Yorke AM, Curtis AB, Shoemaker M et al (2015) Grip strength values stratified by age, gender, and chronic disease status in adults aged 50 years and older. J Geriatr Phys Ther 38:115–121. https://doi.org/10.1519/jpt.0000000000000037

    Article  PubMed  Google Scholar 

  22. McLeod M, Breen L, Hamilton DL et al (2016) Live strong and prosper: the importance of skeletal muscle strength for healthy ageing. Biogerontology 17:497–510. https://doi.org/10.1007/s10522-015-9631-7

    Article  PubMed  PubMed Central  Google Scholar 

  23. Tracy BL, Ivey FM, Hurlbut D, Martel GF et al (1999) Muscle quality. II. Effects Of strength training in 65- to 75-yr-old men and women. J Appl Physiol (1985) 86:195–201. https://doi.org/10.1152/jappl.1999.86.1.195

    Article  CAS  Google Scholar 

  24. Bredella MA (2017) Sex differences in body composition. Adv Exp Med Biol 1043:9–27. https://doi.org/10.1007/978-3-319-70178-3_2

    Article  CAS  PubMed  Google Scholar 

  25. Hardy R, Cooper R, Aihie Sayer A et al (2013) Body mass index, muscle strength and physical performance in older adults from eight cohort studies: the HALCyon programme. PLoS ONE. https://doi.org/10.1371/journal.pone.0056483

    Article  PubMed  PubMed Central  Google Scholar 

  26. Celis-Morales CA, Welsh P, Lyall DM et al (2018) Associations of grip strength with cardiovascular, respiratory, and cancer outcomes and all cause mortality: prospective cohort study of half a million UK Biobank participants. BMJ 361:k1651. https://doi.org/10.1136/bmj.k1651

    Article  PubMed  PubMed Central  Google Scholar 

  27. Leong DP, Teo KK, Rangarajan S et al (2015) Prognostic value of grip strength: findings from the prospective urban rural epidemiology (PURE) study. Lancet 386:266–273. https://doi.org/10.1016/s0140-6736(14)62000-6

    Article  PubMed  Google Scholar 

  28. Sayer AA, Kirkwood TB (2015) Grip strength and mortality: a biomarker of ageing? Lancet 386:226–227. https://doi.org/10.1016/s0140-6736(14)62349-7

    Article  PubMed  Google Scholar 

  29. Cooper R, Kuh D, Hardy R (2010) Objectively measured physical capability levels and mortality: systematic review and meta-analysis. BMJ 341:c4467. https://doi.org/10.1136/bmj.c4467

    Article  PubMed  PubMed Central  Google Scholar 

  30. Bohannon RW (2008) Hand-grip dynamometry predicts future outcomes in aging adults. J Geriatr Phys Ther 31:3–10. https://doi.org/10.1519/00139143-200831010-00002

    Article  PubMed  Google Scholar 

  31. Dommershuijsen LJ, Isik BM, Darweesh SKL et al (2020) Unraveling the association between gait and mortality-one step at a time. J Gerontol A Biol Sci Med Sci 75:1184–1190. https://doi.org/10.1093/gerona/glz282

    Article  PubMed  Google Scholar 

  32. Veronese N, Stubbs B, Volpato S et al (2018) Association between gait speed with mortality, cardiovascular disease and cancer: a systematic review and meta-analysis of prospective cohort studies. J Am Med Dir Assoc 19:981–88.e7. https://doi.org/10.1016/j.jamda.2018.06.007

    Article  PubMed  Google Scholar 

  33. Fan Y, Li Z, Han S et al (2016) The influence of gait speed on the stability of walking among the elderly. Gait Posture 47:31–36. https://doi.org/10.1016/j.gaitpost.2016.02.018

    Article  PubMed  Google Scholar 

  34. Jerome GJ, Ko SU, Kauffman D et al (2015) Gait characteristics associated with walking speed decline in older adults: results from the baltimore longitudinal study of aging. Arch Gerontol Geriatr 60:239–243. https://doi.org/10.1016/j.archger.2015.01.007

    Article  PubMed  PubMed Central  Google Scholar 

  35. Fried LP, Tangen CM, Walston J et al (2001) Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 56:M146–M156. https://doi.org/10.1093/gerona/56.3.m146

    Article  CAS  PubMed  Google Scholar 

  36. Dent E, Martin FC, Bergman H et al (2019) Management of frailty: opportunities, challenges, and future directions. Lancet 394:1376–1386. https://doi.org/10.1016/s0140-6736(19)31785-4

    Article  PubMed  Google Scholar 

  37. Wilson D, Jackson T, Sapey E et al (2017) Frailty and sarcopenia: the potential role of an aged immune system. Ageing Res Rev 36:1–10. https://doi.org/10.1016/j.arr.2017.01.006

    Article  PubMed  Google Scholar 

  38. Rothman MD, Leo-Summers L, Gill TM (2008) Prognostic significance of potential frailty criteria. J Am Geriatr Soc 56:2211–2216. https://doi.org/10.1111/j.1532-5415.2008.02008.x

    Article  PubMed  PubMed Central  Google Scholar 

  39. Cheng X, Bu H, Duan W et al (2020) Measuring character strengths as possible protective factors against suicidal ideation in older Chinese adults: a cross-sectional study. BMC Public Health. https://doi.org/10.1186/s12889-020-8457-7

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We would like to acknowledge the China Health and Retirement Longitudinal Study (CHARLS) team for providing high quality, nationally representative data, which make it possible for our study.

Funding

This work was supported by grants from the Major Project of Beijing Municipal Science and Technology Commission of China (No.D171100003217002, Z171100002717094), and the National Natural Science Foundation of China (81973606, 81501919).

Author information

Authors and Affiliations

Authors

Contributions

Study design: JXG and YDQ. Data collection/validation: JXG, YFH. Data analysis: JXG, QL, KW, and YDQ. Result interpretation: JXG, LYZ, and YDQ. Reporting & editing: JXG, YFH, ZYC, and JHL. Final approval of the version to be submitted: JXG, YDQ, and JHL. Project guarantor: JHL.

Corresponding author

Correspondence to Jianhao Lin.

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Conflict of interest

The authors declare that they have no conflict of interests.

Ethical approval

CHARLS study is an open dataset. The CHARLS was approved by the Ethics Review Committee of Peking University (IRB 00001052-11015).

Statement of human and animal rights

CHARLS study is an open dataset. All procedures performed in CHARLS study involving human participants were in accordance with the ethical standards of the Ethics Review Committee of Peking University (IRB 00001052–11015) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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All participants signed an informed consent.

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Gao, J., Qiu, Y., Hou, Y. et al. Influencing factors for the decline of limb muscle strength and the association with all-cause mortality: evidence from a nationwide population-based cohort study. Aging Clin Exp Res 34, 399–407 (2022). https://doi.org/10.1007/s40520-021-01940-w

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  • DOI: https://doi.org/10.1007/s40520-021-01940-w

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