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Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109-2029
1To whom correspondence should be addressed.
The purpose of this analysis was to evaluate the relationship between
age and the size and distribution of the fat and lean tissue
compartments in a population-based sample of women. The study
population consisted of the 875 women aged 1894 y in the Iowa Bone
Health Study who reported never smoking. Fat mass and lean mass were
measured using dual X-ray absorptiometry. Hip and waist
circumference and height were measured using standardized protocols.
Regression was used to model the associations among age, composition
and topology measures. When fat mass was modeled as a function of hip
and waist circumference as well as age, age2 and height,
the age x height and age x waist circumference interaction
terms remained in the fitted model and collectively accounted for 91%
of the variance. In contrast, the quadratic model of age alone
accounted for 8% of the observed variance in fat mass. Lean mass was
modeled in two segments, with age dichotomized at 58 y. Age alone
did not predict lean mass in women <58 y but did predict lean mass in
women
58 y, with the modeled relationship including interactions with
waist circumference and height. These models accounted for 70% of
observed variance in lean mass. Age is associated with body composition
but explains <10% of variation. When measures of height and
circumferences are available, amounts of lean and fat mass are highly
predictable. This is particularly important for lean mass because no
other surrogate measures exist for lean mass, whereas there are
surrogates for fat mass, including body mass index.
KEY WORDS: fat mass lean mass dual X-ray densitometry body composition body circumference measures
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