. 2017 Apr 28;102(7):2533–2542. doi: 10.1210/jc.2017-00224

Table 3.

Correlations Between Thyroid Hormone Levels, Body Composition, and Energy Expenditure in L-T4–Treated Subjects

Measure^a	fT4 (n = 139)		fT3 (n = 139)		TSH (n = 140)
Measure^a	Coefficient^b	P value^c	Coefficient	P value	Coefficient	P value
BMI, kg/m²	−0.70	0.64	0.23	0.02^d	−0.17	0.64
Lean body mass, kg	−2.75	0.10	0.13	0.25	−0.04	0.92
Fat mass, kg	−1.20	0.68	0.47	0.01^d	0.06	0.93
% Fat mass	0.55	0.76	0.31	0.01^e	−0.15	0.73
Visceral fat, g in abdominal ROI	−42.49	0.55	10.32	0.03^d	−10.50	0.54
TEE, kcal/d	−71.92	0.63	−1.98	0.87	−20.35	0.61
TEE/LBM, kcal/kg/d	−0.30	0.92	−0.17	0.47	0.37	0.62
REE, kcal/d	−66.35	0.21	10.00	0.003^e	4.58	0.72
REE/LBM, kcal/kg/d	0.23	0.75	0.15	0.001^e	0.16	0.36
CHO oxidation, g/d	−18.97	0.28	3.06	0.01^e	0.53	0.90
Fat oxidation, g/d	1.19	0.88	−0.35	0.50	0.06	0.97
Protein oxidation, g/d	−1.28	0.80	−0.10	0.78	1.37	0.28
TEF, kcal/d	0.52	0.47	0.08	0.23	−0.06	0.76
TEF peak energy, kcal	0.36	0.24	0.02	0.51	−0.12	0.12
TEF time to peak, h	−15.35	0.45	2.08	0.24	−5.72	0.27

Abbreviation: CHO, carbohydrate.

^{^a}

TEE values were available for 62 subjects. REE values were available for all subjects. Substrate oxidation values were available for all but four subjects. TEF values were available for 88 subjects. TEF was also adjusted for LBM, %fat, and meal size. Body composition values were available for all subjects except for one missing visceral fat value.

^{^b}

Correlations were analyzed by repeated measures methodology using separate models for each hormone. Positive coefficients indicate that the measure increased with increasing hormone levels; negative coefficients indicate that the measure decreased with increasing hormone levels. The magnitude of the coefficient indicates the estimated change in the measure with a one-unit increase in fT4 or TSH or a 10 unit increase in fT3.

^{^c}

P values were adjusted for age, estrogen status, L-T4 time, L-T4 dose time, and L-T4 dose (μg/kg). Significant coefficients are shown in bold with corresponding P values unadjusted for multiple comparisons.

^{^d}

P value is still significant at the 0.05 level when applying multiple testing adjustment using the false discovery rate.

^{^e}

P value is still significant at the 0.05 level both when applying multiple testing adjustments using a Bonferroni correction and when using the false discovery rate.