Social and Economic Factors and Malnutrition or the Risk of Malnutrition in the Elderly: A Systematic Review and Meta-Analysis of Observational Studies

Nutrients. 2020 Mar 11;12(3):737. doi: 10.3390/nu12030737.

Abstract

Malnutrition in the elderly could be tackled by addressing socioeconomic factors. This study aimed to determine the magnitude of the relationship between socioeconomic factors and the malnutrition or malnutrition risk (MR) in the elderly. The PubMed and SCOPUS databases were searched for observational studies that included assessment of malnutrition or/and MR and socioeconomic variables (educational level, living alone, marital status, income and occupational level, feeling of loneliness, place of residence, and food expenditure) in ≥60-year-old subjects, published in English among 2000-2018 (PROSPERO: CRD42019137097). The systematic review included 40 observational studies (34 cross-sectional and 4 cohort studies) and 16 cross-sectional studies in the meta-analysis (34,703 individuals) of malnutrition and MR in relation to low educational level (Odds Ratio (OR): 1.48; 95% Confidence Interval (CI): 1.33-1.64; p < 0.001), living alone (OR: 1.92; 95% CI: 1.73-2.14; p < 0.001), being single, widowed, or divorced (OR: 1.73; 95% CI: 1.57-1.90; p < 0.001), and low income level (OR: 2.69; 95% CI: 2.35-3.08; p < 0.001), and considering these four socioeconomic factors, malnutrition and MR is associated with them (OR: 1.83; 95% CI: 1.73-1.93; p < 0.001). Malnutrition and MR could be reduced by increasing economic level, supporting people living alone or being single, widowed, and divorced, and improving lifelong learning.

Keywords: elderly; malnutrition; nutritional status; socioeconomic factors.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Aged
  • Aged, 80 and over
  • Female
  • Geriatric Assessment
  • Humans
  • Loneliness
  • Male
  • Malnutrition / epidemiology*
  • Malnutrition / etiology
  • Marital Status
  • Nutrition Assessment
  • Nutritional Status
  • Publication Bias
  • Risk Assessment
  • Risk Factors
  • Socioeconomic Factors