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Measurement of perceived health problems as a means of detecting elderly people at risk of malnutrition.
J Nutr Health Aging 2003; 7(4):257-62JN

Abstract

BACKGROUND

As nutritional preventative measures are more effective in elderly people assessed as non protein-energy malnourished (non-PEM) than such interventions are in those who are malnourished, early detection of those at risk of malnutrition is important.

OBJECTIVE

This study tests the hypothesis that health problems measured by the Nottingham Health Profile (NHP) can predict residents at risk of malnutrition.

DESIGN

Nutritional status was assessed in 261 residents newly admitted to municipal care using a combination of anthropometry and serum protein measurements. From this sample, 20 non-PEM residents, simultaneously assessed as moderately malnourished according to a subjective method, were consecutively included. Using a paired matched design, 20 other non-PEM residents, who were simultaneously subjectively assessed as well nourished, completed the pairs.

RESULTS

Univariate logistic regression analyses showed that the dimensions of emotional reactions, energy, pain, physical mobility and sleep had significant power to predict residents at risk of malnutrition. In the multiple logistic regression analysis, energy had the highest explanatory power.

CONCLUSION

Non-PEM residents, assessed as moderately malnourished according to the Subjective Global Assessment, perceived significantly greater health problems than non-PEM residents subjectively assessed as well nourished. Measurement of health problems adds important information to that used in early detection of residents at risk of malnutrition.

Authors+Show Affiliations

Department of Medicine and Care, Division of Nursing Science, Faculty of Health Sciences, Linköping University, SE-581 85 Linköping, Sweden. lennart.christensson@educ.ltjkpg.seNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

12917751

Citation

Christensson, L, et al. "Measurement of Perceived Health Problems as a Means of Detecting Elderly People at Risk of Malnutrition." The Journal of Nutrition, Health & Aging, vol. 7, no. 4, 2003, pp. 257-62.
Christensson L, Unossons M, Ek AC. Measurement of perceived health problems as a means of detecting elderly people at risk of malnutrition. J Nutr Health Aging. 2003;7(4):257-62.
Christensson, L., Unossons, M., & Ek, A. C. (2003). Measurement of perceived health problems as a means of detecting elderly people at risk of malnutrition. The Journal of Nutrition, Health & Aging, 7(4), pp. 257-62.
Christensson L, Unossons M, Ek AC. Measurement of Perceived Health Problems as a Means of Detecting Elderly People at Risk of Malnutrition. J Nutr Health Aging. 2003;7(4):257-62. PubMed PMID: 12917751.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Measurement of perceived health problems as a means of detecting elderly people at risk of malnutrition. AU - Christensson,L, AU - Unossons,M, AU - Ek,A-C, PY - 2003/8/15/pubmed PY - 2003/12/24/medline PY - 2003/8/15/entrez SP - 257 EP - 62 JF - The journal of nutrition, health & aging JO - J Nutr Health Aging VL - 7 IS - 4 N2 - BACKGROUND: As nutritional preventative measures are more effective in elderly people assessed as non protein-energy malnourished (non-PEM) than such interventions are in those who are malnourished, early detection of those at risk of malnutrition is important. OBJECTIVE: This study tests the hypothesis that health problems measured by the Nottingham Health Profile (NHP) can predict residents at risk of malnutrition. DESIGN: Nutritional status was assessed in 261 residents newly admitted to municipal care using a combination of anthropometry and serum protein measurements. From this sample, 20 non-PEM residents, simultaneously assessed as moderately malnourished according to a subjective method, were consecutively included. Using a paired matched design, 20 other non-PEM residents, who were simultaneously subjectively assessed as well nourished, completed the pairs. RESULTS: Univariate logistic regression analyses showed that the dimensions of emotional reactions, energy, pain, physical mobility and sleep had significant power to predict residents at risk of malnutrition. In the multiple logistic regression analysis, energy had the highest explanatory power. CONCLUSION: Non-PEM residents, assessed as moderately malnourished according to the Subjective Global Assessment, perceived significantly greater health problems than non-PEM residents subjectively assessed as well nourished. Measurement of health problems adds important information to that used in early detection of residents at risk of malnutrition. SN - 1279-7707 UR - https://www.unboundmedicine.com/medline/citation/12917751/Measurement_of_perceived_health_problems_as_a_means_of_detecting_elderly_people_at_risk_of_malnutrition_ L2 - https://medlineplus.gov/malnutrition.html DB - PRIME DP - Unbound Medicine ER -