Is There a Contribution of Structural Brain Phenotypes to the Variance in Resting Energy Expenditure before and after Weight Loss in Overweight Females?
Abstract
:1. Introduction
2. Materials and Methods
2.1. Details of Study Populations
2.1.1. Study Group 1
2.1.2. Study Group 2
2.1.3. Study Group 3
2.2. Anthropometric Measurements and Detailed Body Composition Analysis
2.3. Resting Energy Expenditure (REE) Encephalic Measure (EM)
2.4. Formatting of Mathematical Components
2.5. Statistical Analyses
3. Results
3.1. Is There an Effect of Weight Loss on Brain Mass, GM, WM and REE?
3.2. Contribution of GM and WM to the Variances in REE, REEadjFFM and REE on FFM Residuals before and after Weight Loss
4. Discussion
4.1. Is There an Effect of Weight Loss on Brain Mass and Brain Tissue Structure?
4.2. Strengths and Limitations
Author Contributions
Acknowledgments
Conflicts of Interest
References
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n | Before Weight Loss | After Weight Loss | Δ | |||||
---|---|---|---|---|---|---|---|---|
Mean ± SD | Minimal | Maximal | Mean ± SD | Minimal | Maximal | Mean ± SD | ||
Age (years) | 69 | 36.4 ± 9.4 | 19.4 | 68.8 | 36.72 ± 9.9 | 19.6 | 69.4 | |
Height (m) | 69 | 1.68 ± 0.07 | 1.49 | 1.82 | 1.68 ± 0.07 | 1.49 | 1.83 | 0.00 ± 0.00 |
Weight (kg) | 69 | 110.3 ± 23.2 | 72.6 | 159.0 | 95.7 ± 17.5 | 67.1 | 135.5 | −14.5 ± 11.9 * |
BMI (kg/m2) | 69 | 38.9 ± 7.5 | 28.2 | 58.7 | 33.8 ± 5.0 | 25.4 | 44.5 | −5.2 ± 4.3 * |
Body composition | ||||||||
FM (%) | 69 | 49.2 ± 6.8 | 32.6 | 68.8 | 43.5 ± 7.4 | 19.80 | 56.4 | −5.7 ± 4.2 * |
FM (kg) | 69 | 55.5 ± 18.2 | 26.2 | 104.7 | 42.7 ± 13.9 | 14.2 | 70.4 | −12.9 ± 9.8 * |
FFM (kg) | 69 | 54.68 ± 7.01 | 41.2 | 74.1 | 52.9 ± 5.5 | 41.4 | 69.7 | −1.7 ± 4.8 * |
Gray matter (mL) | 69 | 638.9 ± 74.7 | 340.9 | 773.1 | 638.3 ± 71.8 | 390.6 | 779.3 | −0.6 ± 36.9 |
Gray matter (ratio to ICV) | 69 | 0.50 ± 0.04 | 0.31 | 0.58 | 0.49 ± 0.04 | 0.35 | 0.59 | −0.005 ± 0.03 |
White matter (mL) | 69 | 430.3 ± 65.6 | 282.2 | 608.6 | 435.9 ± 53.9 | 305.2 | 606.8 | 5.5 ± 43.3 |
White matter (ratio to ICV) | 69 | 0.34 ± 0.05 | 0.24 | 0.55 | 0.34 ± 0.04 | 0.25 | 0.51 | 0.001 ± 0.03 |
Cerebrospinal Fluid (mL) | 69 | 202.1 ± 54.6 | 115.4 | 402.4 | 211.2 ± 54.3 | 119.3 | 408.6 | 9.0 ± 20.2 * |
Cerebrospinal Fluid (ratio to ICV) | 69 | 0.16 ± 0.04 | 0.09 | 0.29 | 0.16 ± 0.04 | 0.10 | 0.29 | 0.004 ± 0.02 * |
Intracranial Volume (mL) | 69 | 1271.4 ± 94.1 | 1099.7 | 1477.7 | 1285.3 ± 97.4 | 1100.4 | 1485.6 | 13.9 ± 55.3 * |
Brain parenchymal fraction (mL) | 69 | 1069.3 ± 92.0 | 868.6 | 1241.5 | 1074.2 ± 80.5 | 915.0 | 1241.4 | 4.9 ± 53.1 |
Brain parenchymal fraction (ratio to ICV) | 69 | 0.84 ± 0.04 | 0.71 | 0.91 | 0.84 ± 0.04 | 0.71 | 0.90 | −0.004 ± 0.01 * |
Encephalic measure | 69 | 4.25 ± 0.61 | 2.90 | 5.40 | 4.68 ± 0.58 | 3.42 | 6.29 | 0.43 ± 0.50 * |
Ratio of body metabolism to brain metabolism | 69 | 6.68 ± 0.99 | 5.18 | 9.56 | 6.05 ± 0.72 | 4.47 | 8.10 | −0.63 ± 0.76 * |
Energy expenditure | ||||||||
REE (kcal/24 h) | 69 | 1799 ± 236 | 1346 | 2433 | 1640 ± 191 | 1282 | 2234 | −159 ± 191 * |
REEadjFFM (kcal/24 h) | 69 | 1799 ± 169 | 1082 | 3070 | 1640 ± 146 | 942 | 2773 | −159 ± 177 * |
REE on FFM residuals | 69 | 0.00 ± 169 | −360 | 638 | 0.00 ± 146 | −405 | 540 | 0.00 ± 177 |
Regression Coefficient B | SE | ß-Coefficient | p-Value | Regression Coefficient B | SE | ß-Coefficient | p-Value | |
---|---|---|---|---|---|---|---|---|
REE Before weight loss | REE after weight loss | |||||||
Model 1 | ||||||||
Constant | 545.9 | 293.8 | 0.068 | 520.29 | 260.3 | 0.050 | ||
FFM (kg) | 14.13 | 3.39 | 0.419 | 0.001 | 14.27 | 3.48 | 0.407 | 0.001 |
FM (kg) | 5.83 | 1.31 | 0.449 | 0.001 | 5.94 | 1.38 | 0.433 | 0.001 |
Age | −1.04 | 2.02 | −0.043 | 0.611 | −1.75 | 1.67 | −0.091 | 0.296 |
ICV (mL) | 0.17 | 0.20 | 0.066 | 0.419 | 0.14 | 0.17 | 0.075 | 0.377 |
R² total | 0.611 | 0.550 | ||||||
Model 2 | ||||||||
Constant | 720.9 | 146.6 | 0.001 | 274.9 | 211.3 | 0.198 | ||
FFM (kg) | 14.15 | 3.33 | 0.420 | 0.001 | 15.37 | 3.32 | 0.438 | 0.001 |
FM (kg) | 5.76 | 1.28 | 0.444 | 0.001 | 5.73 | 1.29 | 0.417 | 0.001 |
Age | ||||||||
GM (mL) | 487.4 | 208.2 | 0.190 | 0.022 | ||||
WM (mL) | ||||||||
R² total | 0.603 | 0.574 | ||||||
REEadjFFM before weight loss | REEadjFFM after weight loss | |||||||
Model 3 | ||||||||
Constant | 1515.5 | 289.1 | 0.001 | 1351.6 | 277.5 | 0.001 | ||
FM (kg) | 3.54 | 1.05 | 0.379 | 0.001 | 4.23 | 1.22 | 0.402 | 0.001 |
Age | −1.68 | 2.10 | −0.098 | 0.427 | −1.14 | 1.71 | −0.077 | 0.508 |
ICV (mL) | 0.09 | 0.212 | 0.048 | 0.628 | 0.097 | 0.171 | 0.065 | 0.572 |
R² total | 0.157 | 0.166 | ||||||
Model 4 | ||||||||
Constant | 1576.8 | 61.6 | 0.001 | 1109.3 | 153.2 | 0.001 | ||
FM (kg) | 3.54 | 1.05 | 0.379 | 0.001 | 4.28 | 1.15 | 0.407 | 0.001 |
Age | ||||||||
GM (mL) | 487.3 | 214.0 | 0.248 | 0.026 | ||||
WM (mL) | ||||||||
R² total | 0.144 | 0.217 | ||||||
REE on FFM residuals before weight loss | REE on FFM residuals after weight loss | |||||||
Model 3 | ||||||||
Constant | −227.6 | 289.0 | 0.340 | −218.5 | 227.4 | 0.220 | ||
FM (kg) | 3.55 | 1.05 | 0.380 | 0.001 | 4.24 | 1.22 | 0.403 | 0.001 |
Age | −1.77 | 2.10 | −0.103 | 0.402 | −1.22 | 1.71 | −0.082 | 0.479 |
ICV (mL) | 0.11 | 0.21 | 0.058 | 0.623 | 0.113 | 0.17 | 0.075 | 0.512 |
R² total | 0.160 | 0.168 | ||||||
Model 4 | ||||||||
Constant | −197.2 | 67.7 | 0.002 | −518.9 | 152.9 | 0.001 | ||
FM (kg) | 3.55 | 1.05 | 0.380 | 0.001 | 4.29 | 1.14 | 0.408 | 0.001 |
Age | ||||||||
GM (mL) | 506.4 | 213.7 | 0.258 | 0.021 | ||||
WM (mL) | ||||||||
R² total | 0.163 | 0.222 |
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Geisler, C.; Müller, M.J. Is There a Contribution of Structural Brain Phenotypes to the Variance in Resting Energy Expenditure before and after Weight Loss in Overweight Females? Nutrients 2019, 11, 2759. https://doi.org/10.3390/nu11112759
Geisler C, Müller MJ. Is There a Contribution of Structural Brain Phenotypes to the Variance in Resting Energy Expenditure before and after Weight Loss in Overweight Females? Nutrients. 2019; 11(11):2759. https://doi.org/10.3390/nu11112759
Chicago/Turabian StyleGeisler, Corinna, and Manfred J. Müller. 2019. "Is There a Contribution of Structural Brain Phenotypes to the Variance in Resting Energy Expenditure before and after Weight Loss in Overweight Females?" Nutrients 11, no. 11: 2759. https://doi.org/10.3390/nu11112759