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. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: J Pediatr. 2010 Jun 12;157(4):641–647.e2. doi: 10.1016/j.jpeds.2010.04.064

Table 3. Association of Body Fat (Model 1) and Lean Mass (Model 2) with Growth and Bone Health, adjusting for Age, Sex, Ethnicity, Transfusion status, Calcium intake and Physical activity in Patients with Thalassemia (n=370).

Model 1 Model 2
Outcome Predictor Slope Standard Error P-value^^ Slope Standard Error P-value ^^
Height Z-score Age, years −0.03 0.01 <0.001 −0.03 0.01 <0.001
Sex (F vs. M)* −0.24 0.13 0.058 0.27 0.13 0.04
Transfusion Status (Tx vs NTx)** −0.71 0.14 <0.001 −0.56 0.14 <0.001
Asian Ethnicity*** −0.46 0.14 0.004 −0.42 0.14 0.01
Calcium Dietary Reference Intake
(one unit is 100%)
−0.01 0.07 NS 0.01 0.07 NS
Very Active Physical Activity Level# 0.44 0.29 NS 0.42 0.29 NS
Body Fat, kg ^ 0.06 0.01 <0.001 -- -- --
Lean Mass, kg ^ -- -- -- 0.04 0.01 <0.001

Bone Mineral
Density Z-score
Age, years −0.05 0.01 <0.001 −0.05 0.01 <0.001
Gender (F vs M)* −0.06 0.12 NS 0.21 0.13 NS
Transfusion Status (Tx vs NTx)** −0.47 0.14 <0.001 −0.36 0.14 0.009
Asian Ethnicity*** −0.16 0.13 NS −0.16 0.13 NS
Calcium Dietary Reference Intake
(one unit is 100%)
−0.12 0.06 NS −0.13 0.07 0.052
Very Active Physical Activity Level# 0.72 0.27 0.01 0.68 0.28 0.04
Body Fat, kg ^ 0.04 0.01 <0.001 -- -- --
Lean Mass, kg ^ -- -- -- 0.02 0.01 0.01
*

Sex: Female vs. Male (reference). Male sex is negatively associated with height z-score when body fat is in the model, but was positively associated with height when lean mass is in the model. This inverse relationship is likely a reflection of the relative amount of fat mass vs. lean in females compared with males.

**

Transfusion status: transfused vs. non-transfused (reference) subjects with thalassemia

***

Ethnicity: Asian, Other, Caucasian (reference)

#

Physical Activity estimated by self assessment Likert scale: Very Lightly (reference), Lightly, Moderately, Active, Very Active

^

Body fat and lean mass determined by whole body DXA

^^

Multiple linear regression analysis was used to examine the association of variables of interest with growth and with bone health. Even after adjusting for other covariates, the two body composition variables were each significantly (p-value<0.05) associated with the outcome variable. For example, as predicted in the model above, Height Z-score is expected to increase by 0.04 units for every 1 kg increase in lean mass in the subjects with thalassemia studied.