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Relationship between malnutrition and different fall risk assessment tools in a geriatric in-patient unit

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Abstract

Background

Despite decades of research evaluating different predictive strategies to identify persons at risk for falls, nutritional issues have received little attention. Malnutrition leads to weight loss associated with muscle weakness and consequently increases the risk of falls.

Aims

The current study assessed the association between nutritional state and fall risk scores in a geriatric in-patient unit in Ain Shams University Hospital, Cairo, Egypt.

Methods

A cross-sectional study was conducted to assess the nutritional state of 190 older inpatients using a short form of the Mini-Nutritional Assessment (MNA-SF), and the risk of falls was assessed using the Morse Fall Scale (MFS), Johns Hopkins fall risk assessment tool (JH-FRAT), Schmid Fall Risk Assessment Tool (Schmid-FRAT), Hendrich II Fall Risk Model (HII-FRM) and Functional Assessment Instrument (FAI). The generalised linear models (GLM) and odds ratio (OR) were calculated to test the nutritional status as a risk factor for falls.

Results

Malnutrition was significantly associated with high fall risk as assessed by MFS and HII-FRM (OR = 2.833, 95% CI 1.358–5.913, P = 0.006; OR = 3.477, 95% CI 1.822–6.636, P < 0.001), with the highest OR for JH-FRAT (OR = 5.455, 95% CI 1.548–19.214, P = 0.008). After adjusting for age, the adjusted Charlson Comorbidity Index (ACCI), number of fall risk-increasing drugs (FRIDs), risk of malnutrition or malnourished were significantly associated with high fall risk as assessed by MFS (OR = 2.761, 95% CI 1.306–5.836, P = 0.008), JH-FRAT (OR = 4.938, 95% CI 1.368–17.828, P = 0.015), and HII-FRM (OR = 3.486, 95% CI 1.783–6.815, P < 0.001).

Conclusions

This study demonstrated a significant association between malnutrition and fall risk assessment scores, especially JH-FRAT, in hospitalised older patients.

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References

  1. NHS improvement. The incidence and costs of inpatient falls in hospitals July 2017 https://improvement.nhs.uk/documents/1471/Falls_report_July2017.v2.pdf. Accessed 2 January 2019

  2. Lord SR, Sherrington C, Menz HB et al (2007) Falls in older people: risk factors and strategies for prevention, 2nd edn. Cambridge University Press, Cambridge, pp 1–395

    Book  Google Scholar 

  3. Bergen G, Stevens MR, Burns ER (2016) Falls and fall injuries among adults aged > = 65 years—United States, 2014. Morbidity and Mortality Weekly Report (MMWR) 65:993–998. https://www.cdc.gov/mmwr/volumes/65/wr/mm6537a2.htm. Accessed 26 December 2018

  4. Gu YY, Balcaen K, Ni Y et al (2016) Review on prevention of falls in hospital settings. Chin Nurs Res 3:7–10. https://doi.org/10.1016/j.cnre.2015.11.002

    Article  Google Scholar 

  5. Julius M, Kresevic D, Turcoliveri M et al (2017) Malnutrition as a fall risk factor. Examining various aspects of malnutrition in elderly patients may be helpful in determining the risk of falls. Fed Pract 34:27–30. https://mdedge-files-live.s3.us-east-2.amazonaws.com/files/s3fs-public/0217fp_julius.pdf. Accessed 22 Jan 2019

  6. Vance E, Delbaere K, Sturnieks R et al (2016) Nutritional status and falls: a mini review. Excerpt published in Falls Links e-Newsletter 3 (March 2016)

  7. Bauer JD, Isenring E, Torma J et al (2007) Nutritional status of patients who have fallen in an acute care setting. J Hum Nutr Diet 20:558–564. https://doi.org/10.1111/j.1365-277X.2007.00832.x

    Article  CAS  PubMed  Google Scholar 

  8. Vivanti A, Ward N, Haines T (2011) Nutritional status and associations with falls, balance, mobility and functionality during hospital admission. J Nutr Health Aging 15:388–391

    Article  CAS  Google Scholar 

  9. Naseri C, Haines TP, Etherton-Beer C et al (2018) Reducing falls in older adults recently discharged from hospital: a systematic review and meta-analysis. Age Ageing 47:512–519. https://doi.org/10.1093/ageing/afy043

    Article  PubMed  PubMed Central  Google Scholar 

  10. Grossman DC, Curry SJ, Owens DK et al (2018) Interventions to prevent falls in community-dwelling older adults US Preventive Services Task Force Recommendation Statement. JAMA 319:1696–1704. https://doi.org/10.1001/jama.2018.3097

    Article  PubMed  Google Scholar 

  11. Fastbom J, Schmidt I (2010) Indikatorer för god läkemedelsterapi hos äldre. In The Swedish National Board for Health and Welfare 2010, In Swedish. https://www.socialstyrelsen.se/publikationer2010/2010-6-29. Accessed 22 Jan 2019

  12. Charlson M, Szatrowski TP, Peterson J et al (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47:1245–1251

    Article  CAS  Google Scholar 

  13. El Okl MA, El banoub MH, Mortagy AK et al (2001) Prevalence of AD and other types of dementia in Egypt. Tenth Congress of the International Psychogeriatrics Association 13:114-S

  14. Folstein MF, Folstein SE, McHugh PR (1975) Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189–198

    Article  CAS  Google Scholar 

  15. Katz S, Ford A, Moskowitz R et al (1963) Studies of illness and the aged: the index of ADL, a standardized measure of biological and psychological function. JAMA 185:914–919

    Article  CAS  Google Scholar 

  16. Lawton MP, Brody EM (1969) Assessment of older people-self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186

    Article  CAS  Google Scholar 

  17. Abd-Al-Atty MF, Abou-Hashem RM, Abd Elaziz KM (2012) Prevalence of malnutrition in recently hospitalized elderly in Cairo using a valid and reliable short form of Arabic version of Mini-Nutritional Assessment (MNASF-A). Middle East J Age Ageing 9:8–12

    Google Scholar 

  18. Morse JM, Morse RM, Tylko SJ (1989) Development of a scale to identify the fall prone. Can J Aging 8:366–377. https://doi.org/10.1017/S0714980800008576

    Article  Google Scholar 

  19. Kim KS, Kim JA, Choi YK et al (2011) A comparative study on the validity of fall risk assessment scales in Korean hospitals. Asian Nurs Res 5:28–37. https://doi.org/10.1016/S1976-1317(11)60011-X

    Article  Google Scholar 

  20. Poe SS, Cvach MM, Gartrell DG et al (2005) An evidence-based approach to fall risk assessment, prevention, and management—lessons learned. J Nurs Care Qual 20:107–116

    Article  Google Scholar 

  21. Poe SS, Cvach M, Dawson PB et al (2007) The Johns Hopkins fall risk assessment tool—post implementation evaluation. J Nurs Care Qual 22:293–298. https://doi.org/10.1097/01.NCQ.0000290408.74027.39

    Article  PubMed  Google Scholar 

  22. Schmid NA (1990) Reducing patient falls: a research-based comprehensive fall prevention program. Mil Med 155:202–207. https://doi.org/10.1093/milmed/155.5.202

    Article  CAS  PubMed  Google Scholar 

  23. Hendrich AL, Bender PS, Nyhuis A (2003) Validation of the Hendrich II fall risk model: a large concurrent case/control study of hospitalized patients. Appl Nurs Res 16:9–21. https://doi.org/10.1053/apnr.2003.yapnr2

    Article  PubMed  Google Scholar 

  24. Harrington L, Luquire R, Vish N et al (2010) Meta-analysis of fall-risk tools in hospitalized adults. J Nurs Adm 40:483–488. https://doi.org/10.1097/NNA.0b013e3181f88fbd

    Article  PubMed  Google Scholar 

  25. Tiedemann A, Lord S (2003) The development of a validated falls risk screening assessment for use in clinical practice. Australas J Ageing 22:29

    Google Scholar 

  26. Bao W, Hu D, Shi X et al (2017) Comorbidity increased the risk of falls in Chinese older adults: a cross-sectional study. Int J Clin Exp Med 10:10753–10763

    Google Scholar 

  27. Tinetti ME, Doucette J, Claus E et al (1995) Risk factors for serious injury during falls by older persons in the community. J Am Geriatr Soc 43:1214–1221

    Article  CAS  Google Scholar 

  28. Guralnik JM (1996) Assessing the impact of comorbidity in the older population. Ann Epidemiol 6:376–380

    Article  CAS  Google Scholar 

  29. Wolff JL, Starfield B, Anderson G (2002) Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med 162:2269–2276

    Article  Google Scholar 

  30. Milos V, Bondesson A, Magnusson M et al (2014) Fall risk-increasing drugs and falls: a cross-sectional study among elderly patients in primary care. BMC Geriatr 14:40. https://doi.org/10.1186/1471-2318-14-40

    Article  PubMed  PubMed Central  Google Scholar 

  31. Kojima T, Akishita M, Nakamura T et al (2011) Association of polypharmacy with fall risk among geriatric outpatients. Geriatr Gerontol Int 11:438–444

    Article  Google Scholar 

  32. Chien MH, Guo HR (2014) Nutritional status and falls in community-dwelling older people: a longitudinal study of a population-based random sample. PLoS One 9:e91044. https://doi.org/10.1371/journal.pone.0091044

    Article  PubMed  PubMed Central  Google Scholar 

  33. Tsai AC, Lai MY (2014) Mini Nutritional Assessment and short-form Mini Nutritional Assessment can predict the future risk of falling in older adults—results of a national cohort study. Clin Nutr 33:844–849. https://doi.org/10.1016/j.clnu.2013.10.010

    Article  PubMed  Google Scholar 

  34. Neelemaat F, Lips P, Bosmans JE et al (2012) Short-term oral nutritional intervention with protein and vitamin D decreases falls in malnourished older adults. J Am Geriatr Soc 60:691–699. https://doi.org/10.1111/j.1532-5415.2011.03888.x

    Article  PubMed  Google Scholar 

  35. Johnson CS (2003) The association between nutritional risk and falls among frail elderly. J Nutr Health Aging 7:247–250

    PubMed  Google Scholar 

  36. Oliver D, Healey F, Haines TP (2010) Preventing falls and fall-related injuries in hospitals. Clin Geriatr Med 26:645–692. https://doi.org/10.1016/j.cger.2010.06.005

    Article  PubMed  Google Scholar 

  37. Slade S, Carey D, Hill M et al (2017) Effects of falls prevention interventions on falls outcomes for hospitalised adults: protocol for a systematic review with meta-analysis. BMJ Open 7:e017864. https://doi.org/10.1136/bmjopen-2017-017864

    Article  PubMed  PubMed Central  Google Scholar 

  38. Perell KL, Nelson A, Goldman RL et al (2001) Fall risk assessment measures: an analytic review. J Gerontol A Biol Sci Med Sci 56:M761–M766

    Article  CAS  Google Scholar 

  39. Han J, Xu L, Zhou C et al (2017) Stratify, Hendrich II fall risk model and Morse fall scale used in predicting the risk of falling for elderly in-patients. Biomed Res Spec Issue 0:S439–S442

    Google Scholar 

  40. Avila-Funes JA, Gray-Donald K, Payette H (2008) Association of nutritional risk and depressive symptoms with physical performance in the elderly: the Quebec longitudinal study of nutrition as a determinant of successful aging (NuAge). J Am Coll Nutr 27:492–498

    Article  Google Scholar 

  41. Takahashi K, Kubo A, Ishimura K et al (2018) Correlation among sarcopenia, malnutrition and activities of daily living in patients with vertebral compression fractures: a comparison based on admission and discharge parameters evaluating these conditions. J Phys Ther Sci 30:1401–1407

    Article  Google Scholar 

  42. Hida T, Harada A, Imagama S et al (2013) Managing sarcopenia and its related-fractures to improve quality of life in geriatric populations. Aging Dis 5:226–237

    PubMed  PubMed Central  Google Scholar 

  43. Morandi A, Onder G, Fodri L et al (2015) The association between the probability of sarcopenia and functional outcomes in older patients undergoing in-hospital rehabilitation. J Am Med Dir Assoc 16:951–956

    Article  Google Scholar 

  44. Oliveira MR, Fogaça KC, Leandro-Merhi VA (2009) Nutritional status and functional capacity of hospitalized elderly. Nutr J 8:54. https://doi.org/10.1186/1475-2891-8-54

    Article  PubMed  PubMed Central  Google Scholar 

  45. Gottfries CG, Lehmann W, Regland B (1998) Early diagnosis of cognitive impairment in the elderly with the focus on Alzheimer’s disease. J Neural Transm 105:773–786

    Article  CAS  Google Scholar 

  46. Beck AM, Ovesen L, Osler M (1999) The ‘mini nutritional assessment’ (MNA) and the ‘determine your nutritional health’ checklist (NSI checklist) as predictors of morbidity and mortality in an elderly Danish population. Br J Nutr 81:31–36

    Article  CAS  Google Scholar 

  47. Robertson MC, Gillespie LD (2013) Fall prevention in community-Dwelling older adults. JAMA 309:1406–1407. https://doi.org/10.1001/jama.2013.3130

    Article  CAS  PubMed  Google Scholar 

  48. Grundman M, Corey-Bloom J, Jernigan T et al (1996) Low body weight in Alzheimer’s disease is associated with mesial temporal cortex atrophy. Neurology 46:1585–1591

    Article  CAS  Google Scholar 

  49. Malara A, Sgro G, Caruso C et al (2014) Relationship between cognitive impairment and nutritional assessment on functional status in Calabrian long-term-care. Clin Interven Aging 9:105–110

    Google Scholar 

  50. Khater MS, Abouelezz NF (2011) Nutritional status in older adults with mild cognitive impairment living in elderly homes in Cairo, Egypt. J Nutr Health Aging 15:104–108

    Article  Google Scholar 

  51. Verghese J, Holtzer R, Lipton RB et al (2009) Quantitative gait markers and incident fall risk in older adults. J Gerontol A Biol Sci Med Sci 64:896–901

    Article  Google Scholar 

  52. Marquis S, Moore MM, Howieson DB et al (2002) Independent predictors of cognitive decline in healthy elderly persons. Arch Neurol 59:601–606

    Article  Google Scholar 

  53. Verghese J, Lipton RB, Hall CB et al (2002) Abnormality of gait as a predictor of non-Alzheimer’s dementia. N Engl J Med 347:1761–1768

    Article  Google Scholar 

  54. van Iersel MB, Verbeek AL, Bloem BR et al (2006) Frail elderly patients with dementia go too fast. J Neurol Neurosurg Psychiatry 77:874–876

    Article  Google Scholar 

  55. Hausdorff JM, Doniger GM, Springer S et al (2006) A common cognitive profile in elderly fallers and in patients with Parkinson’s disease: the prominence of impaired executive function and attention. Exp Aging Res 32:411–429

    Article  Google Scholar 

  56. van Iersel MB, Kessels RP, Bloem BR et al (2008) Executive functions are associated with gait and balance in community-living elderly people. J Gerontol A Biol Sci Med Sci 63:1344–1349

    Article  Google Scholar 

  57. Delbaere K, Close JC, Heim J et al (2010) A multifactorial approach to understanding fall risk in older people. J Am Geriatr Soc 58:1679–1685

    Article  Google Scholar 

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Correspondence to Rania Mohammed Abou-Hashem.

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Statement of human and animal rights: ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the Local Ethics Committee of Faculty of Medicine, Ain Shams University.

Informed consent

Informed oral consent was obtained from all patients included in the study and/or their next of kin, as most of them were illiterate and were accompanied by a nurse prior to enrolment.

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Adly, N.N., Abd-El-Gawad, W.M. & Abou-Hashem, R.M. Relationship between malnutrition and different fall risk assessment tools in a geriatric in-patient unit. Aging Clin Exp Res 32, 1279–1287 (2020). https://doi.org/10.1007/s40520-019-01309-0

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