Logistic regression coefficients say something about the chance of the outcome falling in one of two classes (coded as 0, 1). The difficult part of reporting LR coefficients is that these are on a log-odds (logit) scale (of which the logistic is the inverse function). Usually, it is best to transform coefficients to a odds, by exp(). Odds are not familiar to everyone, but can be explained as a betting game, such as: If the odds are 9:1 on that there will be rain tomorrow and player A places one Euro against rain, than for player B it would be rational to place 9 on rain.