Obesity: The Impact on Host Systems Affecting Mobility and Navigation through the Environment
Bibliographic record
Abstract
Obesity is known to affect a high percentage of both adults and children in developed countries. Individuals with obesity are at risk of developing a number of comorbidities, as well as metabolic syndrome, which can create a low-grade systemic inflammatory state that further exacerbates the risk of developing comorbidities. Two systems that are susceptible to obesity-related effects are the musculoskeletal system, which contributes to mobility via the bones, muscles, tendons, and joints, and the eye, which contributes to mobility via fidelity of navigation through the environment. Subsequently, the loss of integrity in these systems can lead to sedentary behaviour, inability to exercise, and increased risk of developing cardiovascular and respiratory diseases, loss of cognition, and falls. This review focusses on the impact of obesity on elements of the musculoskeletal system and the eye, with particular focus on the involvement of inflammation and how this may affect mobility and navigation. Finally, the use of prebiotics in altering the inflammatory state associated with obesity via the gut microbiome is discussed as one approach to address issues related to mobility and navigation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".