Clinical Nutrition Research

The Korean Society of Clinical Nutrition (한국임상영양학회)
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The Association of Body Mass Index on Falls Risk and Mortality in Hospitalized Patients of Different Old-Age Categories Requiring Nutritional Support

  • Eunjung Kim (Department of Nutritional Support Team, Seoul National University Hospital) ;
  • Eun-Mi Seol (Department of Nutritional Support Team, Seoul National University Hospital) ;
  • Hyuk-Joon Lee (Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine)
  • Received : 2024.02.21
  • Accepted : 2024.04.12
  • Published : 2024.04.30
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Abstract

Malnutrition affect clinical outcomes in hospitalized old age patients, but the data on the related outcomes on the basis of different age categories are still limited. We aimed to investigate the interplay of associations among body mass index (BMI), falls risk, and mortality rate in different older adult patient age categories. This retrospective study included hospitalized patients aged ≥ 65 years who received artificial nutrition. Demographic, biochemical, and survival data were collected. BMI was evaluated using the World Health Organization BMI cutoffs for Asians, and patients were classified into high (≥ 23.0 kg/m2), normal (18.5-22.9 kg/m2), and low (< 18.5 kg/m2) BMI groups. The Morse Fall Scale was used to assess falls risk. By age categories, all patients (n = 4,642) were divided into the 65-74 (n = 2,649) and ≥ 75 (n = 1,993) years age groups. We found that the proportion of low-BMI and high risk of falls increased with age. Further, low-BMI was associated with increased falls risk in both age groups. Overall survival rate tended to be lower in the low-BMI and ≥ 75 years group than that in other patient groups, but did not differ significantly compared with the low-BMI and 65-74 years group. Low-BMI was associated with increased falls risk and mortality; however, the association depended on specific patient age groups.

Keywords

Acknowledgement

We would like to thank Editage for English language editing. We also thank the privacy team at Seoul National University Hospital for their assistance with the collection of survival data.

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