Korean J Fam Med.  2020 Mar;41(2):111-118. 10.4082/kjfm.18.0112.

Association between Falls and Nutritional Status of Community-Dwelling Elderly People in Korea

Affiliations
  • 1Department of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea

Abstract

Background
Malnutrition is a well-known risk factor of falls, although studies examining the association between nutritional status and falls are rare. We aimed to investigate the association between nutritional status and falls according to gender among Korean older adults.
Methods
The study included 10,675 participants (4,605 men and 6,070 women) aged 65 years and older and used data from the 2011 Survey of Living Conditions and Welfare Needs of Korean Older Persons. Nutritional status of the participants was assessed using the Nutritional Screening Initiative checklist, and the participants were categorized into the following groups: “good,” “moderate nutritional risk,” and “high nutritional risk.” Odds ratios (OR) of fall risk in the above groups based on gender were evaluated using multivariate logistic regression analyses.
Results
Fallers in both genders showed significant association with older age, lower household income, inadequate exercise, and poor nutritional status compared with non-fallers. Considering the good nutritional status group as the reference group, the high nutritional risk group showed a higher risk of falls in men (OR, 1.59; 95% confidence interval [CI], 1.26–1.99); both moderate and high nutritional risk groups showed a higher risk of falls after adjusting for confounding factors in women (OR, 1.39; 95% CI, 1.19–1.62 and OR, 1.90; 95% CI, 1.61–2.24, respectively).
Conclusion
The risk of falls was associated with poor nutritional status, and statistical significance of the association between nutritional status and falls was stronger in women than in men.

Keyword

Nutritional Status; Accidental Falls; Aged; Female
Full Text Links
  • KJFM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
    DB Error: unknown error