Abstract P088: Lean Locomotor Muscle Mass Associated With Elevated Depressive Symptoms: The Multi-Ethnic Study of Atherosclerosis
Bibliographic record
Abstract
Lean Locomotor Muscle Mass Associated With Elevated Depressive Symptoms: The Multi-Ethnic Study of Atherosclerosis Rosemay A Remigio-Baker, MPH, PhDc, Matthew A Allison, MD, MPH, PhD, MPH, Pamela J Schreiner, PhD, MS, MS, Mercedes R Carnethon, PhD, Jennifer A Nettleton, PhD, Mahasin J Mujahid, PhD, Moyses Szklo, MD, DrPH, Rosa M Crum, MD, MPH, Manuel Franco, MD, PhD, Nicole Jensky, PhD, Sherita Hill Golden, MD, MHS BACKGROUND: Physical activity reduces depressive symptoms but it is unclear whether one physiologic response to activity, higher lean muscle mass, is associated with depression. METHODS: Using data from 976 men and women (45-84 years) from the Multi-Ethnic Study of Atherosclerosis (MESA) Body Composition, Inflammation and Cardiovascular Disease and the MESA Neighborhood Ancillary Studies, we examined the cross-sectional association between elevated depressive symptoms (EDS, defined as a Center for Epidemiologic Studies for Depression Scale (CES-D) score > 16) and CT-measured lean muscle mass in the abdomen using multilevel mixed-effects linear regression models. Muscles were categorized by functionality (locomotion vs. stabilization/posture) and combined (see Table). Covariates included demographics, antidepressant use, inflammatory markers, health behaviors, social support, comorbidities, body mass index (BMI) and neighborhood factors: physical and social environment (see Table). Gender, physical environment and social environment were also assessed as potential modifiers. RESULTS: Lean mass of muscle for locomotion was 4.25% lower among participants with EDS compared to those without after adjustment for demographics and antidepressant use (95% CI=-8.20, -0.30; see Table). This association remained significant after additional adjustment for inflammatory markers, health behaviors, social support, comorbidities, neighborhood factors and BMI (see Table). Results were significant in the fully-adjusted model (see Table). No association was observed between EDS and muscle for stabilization/posture. There were no interactions by gender or neighborhood factors. CONCLUSION: Elevated depressive symptoms is associated with less lean muscle for locomotion independent of obesity and physical activity; however, further investigation is necessary in larger samples to confirm and determine the clinical relevance of this association. TABLE Percent Difference a in Lean Muscle Mass b , in cm 2 , (95% Confidence Interval) Between Individuals With Versus Without Elevated Depressive Symptoms By Muscle Category c MODEL All Muscle Locomotion d Stabilization/ Posture e MODEL 1: Univariate −5.75 (-11.0, -0.49)+ −9.25 (-15.3, -3.25)+ −5.04 (-10.4, 0.28) MODEL 2: Demographics f −1.96 (-4.94, 1.01) −4.35 (-8.30, -0.45)+ −1.48 (-4.58, 1.62) MODEL 3: Model 1 + Antidepressant Use −1.88 (-4.88, 1.11) −4.25 (-8.20, -0.30)+ −1.40 (-4.52, 1.72) MODEL 4: Model 3 + Inflammatory Markers g −1.84 (-4.83, 1.15) −4.20 (-8.15, -0.25)+ −1.38 (-4.49, 1.75) MODEL 5: Model 3+ Health Behaviors h −2.28 (-5.26, 0.68) −4.35 (-8.25, -0.45)+ −1.85 (-4.95, 1.25) MODEL 6: Model 3+ Social Support −1.75 (-4.83, 1.33) −4.35 (-8.45, -0.30)+ −1.22 (-4.43, 1.98) MODEL 7: Model 3 + Comorbidity i −1.89 (-4.88, 1.10) −4.05 (-8.00, -0.10)+ −1.45 (-4.56, 1.66) MODEL 8: Model 3 + Neighborhood Factors j −1.49 (-4.47, 1.48)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".