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Physiol Behav ; 87(1): 206-18, 2006 Jan 30.
Artículo en Inglés | MEDLINE | ID: mdl-16253295

RESUMEN

UNLABELLED: Correlations between meal size and inter-meal intervals as a characteristic of ingestive behavior are generally calculated utilizing Pearson's correlation coefficient. However, this commonly used method may exhibit disadvantages and methodological problems when dealing with dependent time series. Alternatively, a modified version of Pearson's r (r(diff)) or a nonparametric procedure, Pfanzagl's T combined with an expanded sampling theorem offer a statistical alternative for correlational analysis, robust to stochastic interdependencies between time series. In two studies, porcine self-initiated feeding behavior was observed in a closed economy setup, and a comparison of all three correlation coefficients was performed. STUDY 1: Twelve Munich mini-pigs were observed for 2 weeks. The rate of food ingestion was a stable characteristic of each individual pig, feeding and defecation behavior were temporally associated and light/dark cycle differences were seen for feeding. STUDY 2: Eight Munich mini-pigs were studied for 4 weeks. Kendall's Tau was utilized to test the stability of feeding behavior across weeks. Stability increased over time and feeding was more stable during the light period. Both correlation measures revealed a strong association between meal size and inter-meal intervals. CONCLUSION: Munich-miniature pigs exhibited a stable pattern of self-initiated ingestive and excretory behaviors. In both studies, Pfanzagl's T-values as well as r(diff)-values revealed a corresponding and consistent association between meal size and inter-meal intervals. In combination with the conventional Pearson's r, all three coefficients characterize different aspects of feeding behavior.


Asunto(s)
Ritmo Circadiano/fisiología , Ingestión de Alimentos/fisiología , Conducta Excretoria Animal/fisiología , Conducta Alimentaria/fisiología , Porcinos Enanos/fisiología , Animales , Defecación/fisiología , Femenino , Masculino , Fotoperiodo , Periodo Posprandial/fisiología , Estadísticas no Paramétricas , Porcinos , Factores de Tiempo
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