Nutritional status and associated factors on geriatric admission.
BACKGROUND
The proportion of elderly patients who are undernourished is high and undernutrition has serious health implications. No consensus exists regarding nutritional screening measurements suitable for elderly patients. There is a need to identify risk factors for undernutrition in elderly patients to enable prevention and treatment.


OBJECTIVE
To identify clinically identifiable risk factors for undernutrition in geriatric patients on admission.


METHODS
Newly admitted patients (n=196, mean age 83.7 years) were examined for nutritional risk factors by the nursing staff. Analyses of variance and multiple regression analyses were used to identify risk factors for undernutrition.


RESULTS
Undernutrition was present in 41% of the patients using a Body Mass Index cut-off < 22 (kg/m2) as definition of undernutrition. Poor appetite, oral cavity problems, constipation and nausea or vomiting were frequent problems; the patients also used a high number of medical preparations, including preparations that induced nausea. No help with cooking before admission, poor appetite, oral cavity problems and high age were all significantly associated with undernutrition.


CONCLUSIONS
To improve nursing care and to prevent undernutrition, it is recommended to routinely examine the patient's mouth and teeth on admission and to assess patients not only for their physical condition (appetite, oral health and nutritional status), but also for their living conditions e.g. help with cooking.
Department of Geriatric Medicine, Bispebjerg University Hospital, Copenhagen. ingrid.poulsen@omv.lu.se
I
I
Poulsen
I
I
Rahm Hallberg
M
M
Schroll
D000369:Aged, 80 and over; D000704:Analysis of Variance; D001066:Appetite; D015992:Body Mass Index; D005260:Female; D015577:Geriatric Assessment; D006707:Homes for the Aged; D006801:Humans; D008297:Male; D044342:Malnutrition / Q000175:diagnosis*; D008403:Mass Screening; D015596:Nutrition Assessment; D009752:Nutritional Status; D009909:Oral Health; D010343:Patient Admission; D012044:Regression Analysis; D012307:Risk Factors; D013548:Sweden