Salivary secretory immunoglobulin A (sIgA) provides a noninvasive biological marker that may be useful to monitor football players responses to training and to identify players at risk of upper respiratory tract (URT) infection. Indeed, low levels of salivary IgA over a training period and decreased IgA secretion rate have been associated with higher risk of URT infection in athletes. There have been few attempts to quantify the association between sIgA and measures of training load, but these are limited by suboptimal statistical approaches, including pooling of the data and sample mean correlations. In repeated-measures studies, it is important to quantify within-subject correlations by modeling the longitudinal data set as a whole and by reducing the variation between subjects. Therefore, the aim of this study was to quantify the correlation between the sIgA and measures of training load in elite football players during consecutive days of training.
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