Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Adverse childhood experiences (ACEs), such as physical and psychological abuse and neglect, can have detrimental consequences on people's somatic and mental health. One mechanism through which ACEs may influence people's health is by modifying their emotional development. Indeed, research has shown that ACEs are related to heightened emotional reactivity and dysregulation. However, most research on the topic is based on designs using one-occasional global self-reports or laboratory assessments. Thus, it remains unclear whether and how ACEs shape dynamic features of peoples' everyday emotions, involving baseline level (i.e., long-run mean level), variability (i.e., moment-by-moment oscillation), and inertia (i.e., a carry-over effect from one moment to the next). Moreover, while most research has so far focused on linear associations between ACEs and emotional development, evolutionary models posit some of these associations to follow curvilinear forms, reflecting developmental adaptations to one's ecological environments. In the current study, we will examine both linear and curvilinear (U-shaped) associations of ACEs with the baseline, variability, and inertia of negative and positive emotions in daily life. We will use two ecological momentary assessment samples, where participants reported their emotions multiple times per day over several days.

Files

Loading files...

Citation

Components

Data for Sample I


Recent Activity

Loading logs...

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.