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Differences in daily in-hospital physical activity and geriatric nutritional risk index in older cardiac inpatients: preliminary results

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Abstract

Background

Little is known about the differences in the geriatric nutritional risk index (GNRI) status in older patients and their relationship to accelerometer-derived measures of physical activity (PA) levels. We determined both differences in daily measured PA based on the GNRI and related cut-off values for PA in elderly cardiac inpatients.

Methods

We divided 235 consecutive elderly cardiac inpatients (mean age 73.6 years, men 70.6 %) into four groups by age and GNRI: older-high group, 65–74 years with high GNRI (≥92 points) (n = 111); older-low group, low GNRI (<92 points) (n = 30); very old-high group, ≥75 years with high GNRI (n = 55); and very old-low group with low GNRI (n = 39). Average step count and physical activity energy expenditure (PAEE in kcal) per day for 2 days of these inpatients were assessed by accelerometer and compared between the four groups to determine cut-off values of PA.

Results

Step counts and PAEE were significantly lower in the low-GNRI versus high-GNRI groups in the older (2,742.1 vs. 4,198.1 steps, 55.4 vs. 101.3 kcal, P < 0.001), and very old (2,469.6 vs. 3,423.7 steps, 54.5 vs. 79.1 kcal, P < 0.001) cardiac inpatients. Respective cut-off values for step counts and PAEE were 3,017.6 steps/day and 69.4 kcal (P < 0.01) in the older and 2,579.4 steps/day and 58.8 kcal in the very old cardiac inpatients (P < 0.01).

Conclusion

Poor nutritional status, as indicated by a low GNRI, may be a useful predictor of step counts and PAEE. The cut-off values determined in this study might be target values to be attained by older cardiac inpatients.

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References

  1. Tsuchihashi-Makaya M, Kinugawa S (2013) Nutrition as a new treatment target in chronic heart failure. Circ J 77:604–605

    Article  CAS  PubMed  Google Scholar 

  2. Kinugasa Y, Kato M, Sugihara S, Hirai M, Yamada K, Yanagihara K, Yamamoto K (2013) Geriatric nutritional risk index predicts functional dependency and mortality in patients with heart failure with preserved ejection fraction. Circ J 77:705–711

    Article  CAS  PubMed  Google Scholar 

  3. Matos AC, Souza GG, Moreira V, Ramalho A (2012) Effect of vitamin A supplementation on clinical evolution in patients undergoing coronary artery bypass grafting, according to serum levels of zinc. Nutr Hosp 27:1981–1986

    CAS  PubMed  Google Scholar 

  4. Lomivorotov VV, Efremov SM, Boboshko VA, Nikolaev DA, Vedernikov PE, Lomivorotov VN, Karaskov AM (2013) Evaluation of nutritional screening tools for patients scheduled for cardiac surgery. Nutrition 29:436–442

    Article  PubMed  Google Scholar 

  5. Chan M, Kelly J, Batterham M, Tapsell L (2012) Malnutrition (subjective global assessment) scores and serum albumin levels, but not body mass index values, at initiation of dialysis are independent predictors of mortality: a 10-year clinical cohort study. J Ren Nutr 22:547–557

    Article  PubMed  Google Scholar 

  6. Jiménez FJ, Cervera Montes M, Blesa Malpica AL (2011) Metabolism and Nutrition Working Group of the Spanish Society of Intensive Care Medicine and Coronary units. Guidelines for specialized nutritional and metabolic support in the critically-ill patient: update. Consensus SEMICYUC-SENPE: cardiac patient. Nutr Hosp 26(Suppl 2):76–80

    Google Scholar 

  7. Tsuchihashi M, Tsutsui H, Kodama K, Kasagi F, Takeshita A (2000) Clinical characteristics and prognosis of hospitalized patients with congestive heart failure–a study in Fukuoka, Japan. Jpn Circ J 64:953–959

    Article  CAS  PubMed  Google Scholar 

  8. Menezes AR, Lavie CJ, Milani RV, Arena RA, Church TS (2012) Cardiac rehabilitation and exercise therapy in the elderly: should we invest in the aged? J Geriatr Cardiol 9:68–75

    Article  PubMed Central  PubMed  Google Scholar 

  9. Bouillanne O, Morineau G, Dupont C, Coulombel I, Vincent JP, Nicolis I, Benazeth S, Cynober L, Aussel C (2005) Geriatric Nutritional Risk Index: a new index for evaluating at-risk elderly medical patients. Am J Clin Nutr 82:777–783

    CAS  PubMed  Google Scholar 

  10. Cereda E, Limonta D, Pusani C, Vanotti A (2006) Geriatric nutritional risk index: a possible indicator of short-term mortality in acutely hospitalized older people. J Am Geriatr Soc 54:1011–1012

    Article  PubMed  Google Scholar 

  11. Cereda E, Vanotti A (2007) The new Geriatric Nutritional Risk Index is a good predictor of muscle dysfunction in institutionalized older patients. Clin Nutr 26:78–83

    Article  PubMed  Google Scholar 

  12. Izawa KP, Yamada S, Oka K, Watanabe S, Omiya K, Iijima S, Hirano Y, Kobayashi T, Kasahara Y, Samejima H, Osada N (2004) Long-term exercise maintenance, physical activity, and health-related quality of life after cardiac rehabilitation. Am J Phys Med Rehabil 83:884–992

    Article  PubMed  Google Scholar 

  13. Nery RM, Barbisan JN (2010) Effect of leisure-time physical activity on the prognosis of coronary artery bypass graft surgery. Rev Bras Cir Cardiovasc 25:73–78

    Article  PubMed  Google Scholar 

  14. Izawa KP, Watanabe S, Oka K, Hiraki K, Morio Y, Kasahara Y, Brubaker PH, Osada N, Omiya K, Shimizu H (2013) Usefulness of step counts to predict mortality in Japanese patients with heart failure. Am J Cardiol 111:1767–1771

    Article  PubMed  Google Scholar 

  15. Yamada K, Furuya R, Takita T, Maruyama Y, Yamaguchi Y, Ohkawa S, Kumagai H (2008) Simplified nutritional screening tools for patients on maintenance hemodialysis. Am J Clin Nutr 87:106–113

    CAS  PubMed  Google Scholar 

  16. Schneider PL, Crouter SE, Lukajic O, Bassett DR Jr (2003) Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk. Med Sci Sports Exerc 35:1779–1784

    Article  PubMed  Google Scholar 

  17. Crouter SE, Schneider PL, Karabulut M, Bassett DR Jr (2003) Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med Sci Sports Exerc 35:1455–1460

    Article  PubMed  Google Scholar 

  18. Kumahara H, Schutz Y, Ayabe M, Yoshioka M, Yoshitake Y, Shindo M, Ishii K, Tanaka H (2004) The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry. Br J Nutr 91:235–243

    Article  CAS  PubMed  Google Scholar 

  19. Fischer JE, Bachmann LM, Jaeschke R (2003) A readers’ guide to the interpretation of diagnostic test properties: clinical example of sepsis. Intensive Care Med 29:1043–1051

    Article  PubMed  Google Scholar 

  20. Akobeng AK (2007) Understanding diagnostic tests 3: receiver operating characteristic curves. Acta Paediatr 96:644–647

    Article  PubMed  Google Scholar 

  21. Oishi D, Koitabashi K, Hiraki K, Imai N, Sakurada T, Konno Y, Shibagaki Y, Yasuda T, Kimura K (2012) Physical activity is associated with serum albumin in peritoneal dialysis patients. Adv Perit Dial 28:148–152

    PubMed  Google Scholar 

  22. Bock BC, Marcus BH, Pinto BM, Forsyth LH (2001) Maintenance of physical activity following an individualized motivationally tailored intervention. Ann Behav Med 23:79–87

    Article  CAS  PubMed  Google Scholar 

  23. Izawa KP, Watanabe S, Oka K, Hiraki K, Morio Y, Kasahara Y, Takeichi N, Tsukamoto T, Osada N, Omiya K (2012) Relation between physical activity and exercise capacity of ≥5 metabolic equivalents in middle- and older-aged patients with chronic heart failure. Disabil Rehabil 34:2018–2024

    Article  PubMed  Google Scholar 

  24. Walsh JT, Charlesworth A, Andrews R, Hawkins M, Cowley AJ (1997) Relation of daily activity levels in patients with chronic heart failure to long-term prognosis. Am J Cardiol 79:1364–1369

    Article  CAS  PubMed  Google Scholar 

  25. Ayabe M, Brubaker PH, Dobrosielski D, Miller HS, Kiyonaga A, Shindo M, Tanaka H (2008) Target step count for the secondary prevention of cardiovascular disease. Circ J 72:299–303

    Article  PubMed  Google Scholar 

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Acknowledgments

This study was supported in part by a Grant-in-Aid for Scientific Research from the Japanese Association for the Promotion of Rehabilitation (Tokyo, Japan).

Conflict of interest

All authors declare no conflicts of interest in regard to the work described herein.

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Correspondence to Kazuhiro P. Izawa.

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Izawa, K.P., Watanabe, S., Oka, K. et al. Differences in daily in-hospital physical activity and geriatric nutritional risk index in older cardiac inpatients: preliminary results. Aging Clin Exp Res 26, 599–605 (2014). https://doi.org/10.1007/s40520-014-0233-z

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  • DOI: https://doi.org/10.1007/s40520-014-0233-z

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