Causes of obesity in captive cynomolgus macaques: influence of body condition, social and management factors on behaviour around feeding
Bibliographic record
Abstract
Similar to other primate species, captive cynomolgus macaques (Macaca fascicularis) are prone to becoming overweight. The relationship between body condition and feeding behaviour in group-housed animals has not been reported. This study evaluated the effect of daily feeding routines on behaviour patterns in cynomolgus macaques to determine whether overweight macaques displayed different behaviours and activity levels. In this prospective observational study, 16 macaques (m = 4, f = 12) from four separate troops (n = 4 per troop) were selected from a colony of 165 animals. Observational data were collected over six months during morning and afternoon feedings by scan sampling. Behaviours of interest included foraging, eating, aggressive and positive social interactions, inactivity and physical activities. Multivariable mixed logistic regression modelling was used for data analysis. Results indicated that overweight animals were more likely to be inactive, dominant animals had increased probabilities of eating compared with non-dominants, and aggressive behaviours were more likely to occur in the morning and before feeding, suggesting feeding anticipation. Positive social interaction before feeding was seen and may be a strategy used to avoid aggressive encounters around food resources. Individual animal caregivers had an unintentional impact on behaviour, as decreased eating and an increase in inactivity were noted when certain individuals fed animals. These findings illustrate the complexities of feeding group-housed cynomolgus macaques to avoid overweight body condition. Feeding routines may require more care and attention to distribute food in a way that ensures equitable food intake among troop animals, while not disturbing group cohesion.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".