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Analysis of the anthropometric data of adults aged 65+ years participating in the National Adult Nutrition Survey

Published online by Cambridge University Press:  15 August 2011

E. A. Boylan ,
B. A. McNulty ,
J. Walton ,
A. Flynn ,
A. P. Nugent  and
M. J. Gibney
E. A. Boylan
Affiliation:
UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
B. A. McNulty
Affiliation:
UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
J. Walton
Affiliation:
School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
A. Flynn
Affiliation:
School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
A. P. Nugent
Affiliation:
UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
M. J. Gibney
Affiliation:
UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland
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Abstract

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Proceedings of the Nutrition Society , Volume 70 , Issue OCE3: Joint Irish Section and American Society for Nutrition Meeting, 15–17 June 2011, 70th anniversary: ‘Vitamins in early development and healthy ageing: impact on infectious and chronic disease’ , 2011 , E52
Copyright
Copyright © The Authors 2011

Understanding body composition, how it changes with age and any associated health implications is important to the health care and nutritional support of older populations(Reference Chumlea and Baumgartner1). The aim of this research was to obtain measured anthropometric data for those adults aged 65+ years who participated in the National Adult Nutrition Survey (NANS)(2).

Anthropometric measurements were performed by trained fieldworkers on consenting participants aged 65+ years. Height was assessed using a Leicester portable height measure (Chasmores Ltd, UK) and waist to hip ratio calculated using tape measurements of waist and hip circumference. Weight and body composition were determined using a Tanita® weighing scale that is based on bio-electrical impedance analysis(Reference Lukaski and Johnson3).

n, sample size; WHR, waist to hip ratio; %: percentage; FFM, fat-free mass; MM, muscle mass; TBW, total body water. There were no statistical differences between the three age groups (one-way ANOVA).

The table shows the mean and sd of anthropometric measurements across three age groups (65–69, 70–74 and 75+ years) for this older cohort of NANS. While no statistically significant differences (one-way ANOVA) in measurements were identified between the groups, it can be observed that those aged 70–74 years tended to have the highest mean values for all measurements. Comparison with NANS participants under 65 years of age highlighted a significantly lower weight and higher WHR compared with those participants over the age of 75 years (P<0.05, one-way ANOVA, with Tamhane and Scheffe post hoc tests, respectively). There were also significant differences (P<0.05, one-way ANOVA, with Tamhane post hoc test) in percentage body fat; those in the younger cohort having a lower percentage body fat than each of the age groups in this cohort of adults aged 65+ years.

This preliminary analysis reveals no major differences in body composition between the three age groups of older adults, however, differences in composition were observed when compared with the younger adults. Further analysis of this dataset will allow for more complete understanding of body composition in older Irish adults.

This study was funded by the Irish Department of Agriculture, Fisheries and Food under the Food for Health Research Initiative (2007–2012).

References

1.Chumlea, CW & Baumgartner, RN (1989) Am J Clin Nutr 50, 1158–1166.CrossRefGoogle Scholar
2.Irish Universities Nutrition Alliance (2011) The National Adult Nutrition Survey. http://www.iuna.netGoogle Scholar
3.Lukaski, H, Johnson, P et al. (1985) Am J Clin Nutr 41, 810–817.CrossRefGoogle Scholar