Your English writing platform
Discover LudwigExact(1)
In the hierarchical tripartite model, with lower negative affectivity, anhedonic depression and autonomic anxiety exerted counterbalancing effects on CVC along with corresponding indirect effects conferred by negative affectivity on CVC.
Similar(59)
Furthermore, the indirect effects on CVC conferred by negative affectivity through anhedonic depression and autonomic anxiety were examined simultaneously in a multiple mediator model.
Type D (distressed) personality, defined by negative affectivity and social inhibition, is related to cardiovascular outcomes.
Type D is a personality type that is characterised by negative affectivity and social inhibition.
This situation can be explained by negative affectivity, which is a personality trait that predisposes individuals to experience negative emotions, leading to pessimism about the world.
Type-D personality is characterized by negative affectivity (NA) and an inability to express these emotions or behaviors in social interactions (SI; social inhibition) [ 8].
Our longitudinal design allowed for examination of two perspectives on the interplay of reactivity and regulation, namely that (a) early negative affectivity interferes with the development of later regulation and (b) regulation is necessary to modulate negative affectivity and, thus, would buffer the effects of negative affectivity on later regulation.
However, the total effect of negative affectivity on CVC remained statistically significant when it was 4 or more.
The indirect effects that negative affectivity conferred through anhedonic depression and autonomic anxiety vanished as well, but the total effect of negative affectivity on CVC became statistically significant [β (SE) = −0.41 (0.19), p = 0.04].
In the mediation models, the total effect of negative affectivity on CVC can be further partitioned into a direct effect and two specific indirect effects.
In model IV, the total effect (direct plus indirect effect) of negative affectivity on CVC was not statistically significant [β (SE) = −0.06 (0.04), p = 0.17].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com