Regional Differences in the Association between Dietary Patterns and Muscle Strength in Korean Older Adults: Data from the Korea National Health and Nutrition Examination Survey 2014-2016

Nutrients. 2020 May 12;12(5):1377. doi: 10.3390/nu12051377.

Abstract

Objectives: Adequate nutrition is an important factor to prevent sarcopenia in older adults. The purpose of this study was to identify the regional differences in the association between dietary pattern and muscle strength in older Korean adults.

Methods: This study was based on data from the Korea National Health and Nutrition Examination Survey (KNHANES) in 2014-2016. Muscle strength was measured by grip strength, and dietary patterns were derived by a cluster analysis using the k-means algorithm. Multiple logistic regression analyses were applied to determine the associations between factors (dietary patterns and residential areas) and grip strength.

Results: Most participants in the rural area group (50.4%) had the Cluster Three dietary pattern (diet dominant in white rice and kimchi), while most people in the urban area group (43.8%) and the metropolitan area group (53.2%) had the Cluster One dietary pattern (diet dominant in fruits and fish). Those having poor hand grip strength represented 25.8% of the total in rural, 20.6% in urban, and 17.9% in metropolitan (p = 0.009) areas. Upon adjustment for socio-demographic characteristics, health behaviors, and co-morbidity, the odds ratio of Cluster Two (diet dominant in meat) was 1.601 (95%, CI: 1.001-2.563, p = 0.050) compared to the Cluster Three dietary pattern, but there was no significant difference in residence.

Conclusions: Muscle strength in the elderly was more related to dietary pattern than was residence. Education and support for conveying the importance of protein intake in the elderly are required to motivate adequate nutrition. In addition, these actions should lead to prevention of muscle weakness and further prevent frailty.

Keywords: diet; elderly; grip strength; protein.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cluster Analysis
  • Cross-Sectional Studies
  • Diet / statistics & numerical data*
  • Feeding Behavior / physiology*
  • Female
  • Geriatric Assessment
  • Hand Strength*
  • Humans
  • Logistic Models
  • Male
  • Nutrition Surveys
  • Nutritional Status
  • Odds Ratio
  • Republic of Korea
  • Rural Population / statistics & numerical data*
  • Urban Population / statistics & numerical data*