title: Identification of different nutritional status groups in institutionalized elderly people by cluster analysis.
abstract: OBJECTIVE
  To apply a cluster analysis to groups of individuals of similar characteristics in an attempt to identify undernutrition or the risk of undernutrition in this population.
  
  
  METHODS
  
  
  
  METHODS
  A cross-sectional study.
  
  
  METHODS
  Seven public nursing homes in the province of Murcia, on the Mediterranean coast of Spain.
  
  
  METHODS
  205 subjects aged 65 and older (131 women and 74 men).
  
  
  METHODS
  Dietary intake (energy and nutrients), anthropometric (body mass index, skinfold thickness, mid-arm muscle circumference, mid-arm muscle area, corrected arm muscle area, waist to hip ratio) and biochemical and haematological (serum albumin, transferrin, total cholesterol, total lymphocyte count). Variables were analyzed by cluster analysis.
  
  
  RESULTS
  The results of the cluster analysis, including intake, anthropometric and analytical data showed that, of the 205 elderly subjects, 66 (32.2%) were over - weight/obese, 72 (35.1%) had an adequate nutritional status and 67 (32.7%) were undernourished or at risk of undernutrition. The undernourished or at risk of undernutrition group showed the lowest values for dietary intake and the anthropometric and analytical parameters measured.
  
  
  CONCLUSIONS
  Our study shows that cluster analysis is a useful statistical method for assessing the nutritional status of institutionalized elderly populations. In contrast, use of the specific reference values frequently described in the literature might fail to detect real cases of undernourishment or those at risk of undernutrition.
authors.affiliation: Department of Physiology. University of Murcia. Murcia. Spain.. frapella@um.es.
authors.forename: María José
authors.initials: MJ
authors.lastname: López-Contreras
authors.affiliation: Department of Physiology. University of Murcia. Murcia. Spain..
authors.forename: Maria Ángeles
authors.initials: MÁ
authors.lastname: López
authors.affiliation: Department of Socio-Sanitary Sciences. University of Murcia. Murcia. Spain..
authors.forename: Manuel
authors.initials: M
authors.lastname: Canteras
authors.affiliation: Department of Plant Biology. University of Murcia. Murcia. Spain..
authors.forename: María Emilia
authors.initials: ME
authors.lastname: Candela
authors.affiliation: Department of Physiology. University of Murcia. Murcia. Spain..
authors.forename: Salvador
authors.initials: S
authors.lastname: Zamora
authors.affiliation: Department of Physiology. University of Murcia. Murcia. Spain.. frapella@um.es.
authors.forename: Francisca
authors.initials: F
authors.lastname: Pérez-Llamas
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007326:Institutionalization; D008297:Male; D008875:Middle Aged; D009752:Nutritional Status