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The Correlation between Activities of Daily Living and Physical Composition for Healthy Science Research: A Randomized Controlled Pilot Trial in Stroke

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Abstract

Objective

The purpose of this study was to establish a correlation between the physical compositions of stroke patients and their activities of daily living.

Methods

The participants in this study included 33 hemiplegic stroke patients. The physical composition measurements included fat-free mass, body fat mass, percentage of body fat, and the segmental muscle mass of the participants. The difference in muscle mass between the paralyzed and non-paralyzed sides of the body was calculated through the analysis in stroke. The activities of daily living were evaluated by scoring the respondents’ basic activities of daily living using the modified Barthel index (MBI) scale.

Results

The correlation between the MBI score and the muscle mass of both limbs was not significant. Although not statistically significant, the MBI score and body fat percentage showed a slight negative correlation.

Conclusion

The conclusion of this study is that the relationship between the physical composition of stroke patients and activities of daily living cannot be clearly defined.

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References

  1. Lazoura, O. et al. Skeletal and body composition changes in hemiplegic patients. J. Clin. Densitom. 13, 175–180 (2010).

    Article  PubMed  Google Scholar 

  2. Ryan, A. S. et al. Sarcopenia and physical function in middle-aged and older stroke survivors. Arch. Phys. Med. Rehabil. 98, 495–499 (2017).

    Article  PubMed  Google Scholar 

  3. Jørgensen, L. & Jacobsen, B. K. Changes in muscle mass, fat mass, and bone mineral content in the legs after stroke: a 1 year prospective study. Bone 28, 655–659 (2001).

    Article  PubMed  Google Scholar 

  4. Pietraszkiewicz, F., Pluskiewicz, W. & Drozdzowska, B. Skeletal and functional status in patients with long-standing stroke. Endokrynol. Pol. 62, 2–7 (2011).

    PubMed  Google Scholar 

  5. Patterson, S. L. et al. Determinants of walking function after stroke: differences by deficit severity. Arch. Phys. Med. Rehabil. 88, 115–119 (2007).

    Article  PubMed  Google Scholar 

  6. Quinn, T. J., Langhorne, P. & Stott, D. J. Barthel index for stroke trials: development, properties, and application. Stroke 42, 1146–1151 (2011).

    Article  PubMed  Google Scholar 

  7. Ajayi, S. A. et al. Profile and correlates of functional status in elderly patients presenting at a primary care clinic in Nigeria. Afr. J. Prim. Health Care Fam. Med. 7, 1–7 (2015).

    Article  Google Scholar 

  8. Küçükdeveci, A. A. et al. Adaptation of the modified Barthel Index for use in physical medicine and rehabilitation in Turkey. Scand. J. Rehabil. Med. 32, 87–92 (2000).

    Article  PubMed  Google Scholar 

  9. Galvin, R. et al. The impact of increased duration of exercise therapy on functional recovery following stroke-what is the evidence? Top. Stroke Rehabil. 15, 365–377 (2008).

    Article  PubMed  Google Scholar 

  10. Woo, J., Ho, S. C. & Sham, A. Longitudinal changes in body mass index and body composition over 3 years and relationship to health outcomes in Hong Kong Chinese age 70 and older. J. Am. Geriatr. Soc. 49, 737–746 (2001).

    Article  PubMed  CAS  Google Scholar 

  11. Di Monaco, M. et al. Fat mass and skeletal muscle mass in hip-fracture women: a cross-sectional study. Maturitas 56, 404–410 (2007).

    Article  PubMed  Google Scholar 

  12. Genton, L. et al. Body composition changes over 9 years in healthy elderly subjects and impact of physical activity. Clin. Nutr. 30, 436–442 (2011).

    Article  PubMed  Google Scholar 

  13. Ramnemark, A. et al. Hemiosteoporosis after severe stroke, independent of changes in body composition and weight. Stroke 30, 755–760 (1999).

    Article  PubMed  CAS  Google Scholar 

  14. Sions, J. M. et al. Age- and stroke-related skeletal muscle changes: a review for the geriatric clinician. J. Geriatr. Phys. Ther. 35, 155–161 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hirayama, M., Nagata, Y. & Tsutou, A. Relationship between body composition and functional outcomes in males with subacute stroke. J. Phys. Ther. Sci. 19, 177–182 (2007).

    Article  Google Scholar 

  16. Van Peppen, R. P. et al. The impact of physical therapy on functional outcomes after stroke: what’s the evidence? Clin. Rehabil. 18, 833–862 (2004).

    Article  PubMed  CAS  Google Scholar 

  17. Ada, L., Dorsch, S. & Canning, C. G. Strengthening interventions increase strength and improve activity after stroke: a systematic review. Aust. J. Physiother. 52, 241–248 (2006).

    Article  PubMed  Google Scholar 

  18. Heo, J. et al. Serum heavy metals and lung function in a chronic obstructive pulmonary disease cohort. Toxicol. Environ. Health Sci. 9, 30–35 (2017).

    Article  Google Scholar 

  19. Rim, K. T. Toxicological evaluation of MSG for the manufacturing workers’ health: A literature review. Toxicol. Environ. Health Sci. 9, 1–11 (2017).

    Article  Google Scholar 

  20. Lee, L. K. et al. A review of cardiovascular disease in Korean shift workers and the approach to improve their health at Y power plant. Trans. Rev. 25, 4357–4363 (2017).

    Google Scholar 

  21. Jeon, H. J. et al. Analysis of the sensory threshold between paretic and nonparetic sides for healthy rehabilitation in hemiplegic patients after stroke. Health 4, 1241–1246 (2012).

    Article  Google Scholar 

  22. Kim, M. Y. et al. The effect of low frequency repetitive transcranial magnetic stimulation combined with range of motion exercise on paretic hand function in female patients after stroke. Neurosci. Med. 4, 77–83 (2013).

    Article  Google Scholar 

  23. Kim, J. H. et al. Waveform analysis of the brachialankle pulse wave velocity in hemiplegic stroke patients and healthy volunteers: a pilot study. J. Phys. Ther. Sci. 26, 501–504 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Yang, S. M. et al. Differences in body components and electrical characteristics between youth soccer players and non-athletes. Health 5, 1010–1015 (2013).

    Article  Google Scholar 

  25. Noh, J. W. et al. Analysis of isokinetic muscle strength for sports physiotherapy research in Korean ssireum athletes. J. Phys. Ther. Sci. 27, 3223–3226 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Fujiwara, Y. et al. Engagement in paid work as a protective predictor of basic activities of daily living disability in Japanese urban and rural community-dwelling elderly residents: an 8-year prospective study. Geriatr. Gerontol. Int. 16, 126–134 (2016).

    Article  PubMed  Google Scholar 

  27. Tak, E. et al. Prevention of onset and progression of basic ADL disability by physical activity in community dwelling older adults: a meta-analysis. Ageing. Res. Rev. 12, 329–338 (2013).

    Article  PubMed  Google Scholar 

  28. Leung, S. O., Chan, C. C. & Shah, S. Development of a Chinese version of the Modified Barthel Index - validity and reliability. Clin. Rehabil. 21, 912–922 (2007).

    Article  PubMed  Google Scholar 

  29. Nazzal, M. et al. Stroke rehabilitation: application and analysis of the modified Barthel index in an Arab community. Disabil. Rehabil. 23, 36–42 (2001).

    Article  PubMed  CAS  Google Scholar 

  30. Valach, L. et al. Chedoke-McMaster stroke assessment and modified Barthel Index self-assessment in patients with vascular brain damage. Int. J. Rehabil. Res. 26, 93–99 (2003).

    Article  PubMed  Google Scholar 

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Author notes

  1. These authors contributed equally to this work.

Authors and Affiliations

  1. Laboratory of Health Science & Nanophysiotherapy, Department of Physical Therapy, Graduate School, Yongin University, Yongin, 17092, Republic of Korea

    Ji-Woong Noh & Seung-Min Yang

  2. Department of Social Welfare, College of Public Health & Welfare, Yongin University, Yongin, 17092, Republic of Korea

    Jaehong Park

  3. Department of Physical Therapy, College of Public Health & Welfare, Yongin University, Yongin, 17092, Republic of Korea

    Junghwan Kim

Authors
  1. Ji-Woong Noh
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  2. Seung-Min Yang
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  3. Jaehong Park
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  4. Junghwan Kim
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Corresponding author

Correspondence to Junghwan Kim.

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Noh, JW., Yang, SM., Park, J. et al. The Correlation between Activities of Daily Living and Physical Composition for Healthy Science Research: A Randomized Controlled Pilot Trial in Stroke. Toxicol. Environ. Health Sci. 10, 118–122 (2018). https://doi.org/10.1007/s13530-018-0354-4

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  • DOI: https://doi.org/10.1007/s13530-018-0354-4

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