Postpartum haemorrhage (PPH) was the most common factor explaining the longer length of stay (23%; 11/47), with other possible factors including the woman being Group B Streptococcus positive (n = 10), having a third degree tear (n = 4), hematoma (n = 2), pre-eclampsia (n = 2), or incomplete placenta (n = 2); or infant admitted to the special care nursery (n = 2).
The final EFA on the remaining 20 items revealed a main common factor explaining 87% of the variance.
The last EFA resulted in one common factor explaining 87% of the variance with all remaining 20 items having sufficient high communalities (h ≥ 0.48).
Specifically, the first common factor explains 46.14, the second 19.59, the third 6.2, the fourth 4.75 and the fifth 2.51.
Elements of the estimated loading vector γ ^ were equal to 40.34 for NUC, 38.57 for FI, 30.41 for PE, and 30.70 for GE, which means that the latent common factor explained most of the of VA in NUC and FI (Table 3).
For instance, the latent common factor explained only 26.2% of the total additive genetic variance for BWH recorded in PE but 63% for BWH recorded in FI.
A high loading for an environment indicates that the latent common factor explains a large amount of the additive genetic variance in that environment.
Relative to those residuals the single common factor explains 97%% of total variation.
In all environments, the percentage of additive genetic variance was less than 100%, which indicates that more than one latent common factor explained the GxE interaction.
The first is that smoking cessation causes the improvement in mental health, the second is that improving mental health causes cessation, and the third is that a common factor explains both improved mental health and cessation.
