Contextualising Physical Activity Levels in Patients With Anorexia Nervosa: A Systematic Review and Meta‐Analysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Anorexia nervosa (AN) is a mental disorder most prevalent among adolescent females, with rising cases in younger and more culturally diverse populations. Unhealthy activity patterns are common and have been linked to increased relapse rates; however, data on objectively measured physical activity levels (PALs) in this population is scarce. This study aimed to examine PALs and sedentary time (ST) in patients with AN. METHODS: Following PRISMA guidelines, 16 studies met inclusion criteria (PICO strategy). Sensitivity and subgroup analyses by age and treatment phase were performed. RESULTS: Patients' mean age ranged from 12.6 to 36.2 years. Pooled mean ST was high (617.49 min/day). Light physical activity (LPA), moderate physical activity (MPA) and moderate-to-vigorous physical activity (MVPA) were higher in adult studies, while vigorous physical activity (VPA) was higher in adolescents. Steps were reported only in adult samples. CONCLUSION: This is the first systematic review and meta-analysis assessing objectively measured PALs in AN patients. Findings reveal different PALs patterns by age-group, and insufficient data by treatment stage. These results identified a critical research gap essential for future development of targeted interventions and informed strategies to support recovery.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.020 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".