CROSS SECTIONAL STUDY OF NUTRITIONAL STATUS IN OLDER HAN WOMEN

Southeast Asian J Trop Med Public Health. 2016 Jan;47(1):92-100.

Abstract

Abstract. Malnutrition is one of the most prevalent problems in older people, but there is little information about the nutritional status of the older women in China. Therefore, this study was conducted to investigate the nutritional status and clinically correlated factors for malnutrition in older Han women in China. In total, 2,556 hospital- and community-based Han women aged 60 years or older were recruited between May 2007 and December 2014. All women completed comprehensive geriatric assessment, and the Mini Nutritional Assessment Short Form (MNA-SF) was used to assess the nutritional status. The clinically corre- lated factors for malnutrition were also analyzed, including social factors, health status, and dietary behavior. The average age of these women was 75.9 ± 9.4 years, and 63.8% women lived in urban areas. Of the total respondents, 344 and 716 women were classified as malnutrition and at risk of malnutrition, respectively. Five factors were independently and positively correlated with poor nutrition, including chronic obstructive pulmonary disease (COPD), gastrointestinal disease, depression, cognitive impairment, and comorbidity (≥ 2). Three factors were independently and negatively correlated with poor nutrition, including economic status, meat intake, and fish intake. The older Han women with these five health problems should be given more attention with regards to their nutritional status. Improving economic status, eating more meat and fish were recommended for preventing poor nutrition in older women.

MeSH terms

  • Aged
  • Aged, 80 and over
  • China / epidemiology
  • Comorbidity
  • Cross-Sectional Studies
  • Female
  • Gastrointestinal Diseases / epidemiology
  • Geriatric Assessment
  • Health Status
  • Humans
  • Malnutrition / epidemiology*
  • Nutrition Assessment*
  • Nutritional Status*
  • Prevalence
  • Pulmonary Disease, Chronic Obstructive / epidemiology*
  • Socioeconomic Factors
  • Women's Health / statistics & numerical data*