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Prof Maria Crotty, Flinders University of South Australia
Ms Michelle Miller, Flinders University of South Australia
Ms Lynne Giles, Flinders University of South Australia
Ass Prof Lynne Daniels, Flinders University of South Australia
Dr Elaine Bannerman, Flinders University of South Australia
Dr Craig Whitehead, Repatriation General Hospital
Dr Lynne Cobiac, CSIRO Division Human Nutrition, South Australia
Prof Gary Andrews, Flinders University of South Australia
Please address proofs and reprints requests to: Prof Maria Crotty, Rehabilitation
& Ageing Studies Unit, Repatriation General Hospital, Daws Road, DAW
PARK SA 5041, AUSTRALIA. Ph. 00 61 08 8275 1103. Fax. 00 61 08 8275 1130.
Email. maria.crotty@flinders.edu.au
The Australian Longitudinal Study of Ageing (ALSA) aims to identify factors
that contribute to & predict the health & social well-being of
older Australians. Analyses were performed to determine the predictive
value of anthropometric measurements in older Australians for four-year
mortality.
Weight, height, skinfolds (triceps, abdominal, supra-spinale, sub-scapular,
medial calf, and front thigh) & girth (arm, waist, hip, calf) measurements
were performed on a randomly selected community-living sample of 772 men
& 624 women aged >70 years. Waist:Hip, % weight loss, corrected-arm-muscle
area (CAMA) & BMI were calculated. These measures were categorised
into quartiles & also according to commonly adopted definitions of
nutritional status. Cox regression analysis was undertaken to assess the
predictive value of the independent anthropometric variables for four-year
mortality, adjusting for potential confounders (age, gender, marital status,
smoking, alcohol status, self-rated health, basic activities of daily
living & co-morbidity).
Risk of four-year mortality increased with weight loss >10% over two
years (HR=2.53, CI=1.37-4.67) & CAMA <21.4cm2(M) & <21.6cm2(F)
(HR=1.93, CI=1.03-3.60) independent of confounding variables.
These results confirm that selected anthropometric indices (weight loss,
CAMA) independently increase the risk of four-year mortality & highlights
their potential use in the nutrition screening and assessment of community-living
older adults.
Keywords: Elderly; Nutrition; Australian; Mortality; Anthropometry; Nutrition
screening
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