Abstract
The aim of this research was to study the association between the Positive Personality Model (PPM) traits and the state of complete mental health as conceived by the Dual Factor Model (DFM). The sample was composed of 1502 Argentinean adults from the general population (age: M = 39.79, SD = 14.23; gender: 50.1% male, 49.9% female). A cluster analysis replicated the four-group classification of the DFM: complete mental health, symptomatic but content, troubled and vulnerable. The complete mental health cluster showed a significantly higher presence of sprightliness, serenity, moderation and integrity than the other groups. As for humanity, the complete mental health and the symptomatic but content groups had the highest scores. Sprightliness and serenity increased the odds of belonging to the complete mental health group while integrity and humanity decreased these odds. Implications for the Argentinean population are discussed.
Highlights
The aim of this research was to study the association between the Positive Personality Model (PPM) traits and the state of complete mental health as conceived by the Dual Factor Model (DFM)
Product-moment Pearson correlations were calculated in order to explore the associations between PPM positive traits and the presence of psychological symptoms and well-being
The main objective of this research was to study the role that PPM traits play in the state of complete mental health
Summary
The aim of this research was to study the association between the Positive Personality Model (PPM) traits and the state of complete mental health as conceived by the Dual Factor Model (DFM). A proposal comprising mental health as a whole was postulated by Greenspoon and Saklofske (2001): the Dual-Factor Model (DFM). This model departs from the claim that a decrease in symptomatology does not necessarily imply an increment in well-being and vice versa. All other subjects that do not fit into these two categories are considered to be in a moderate state of mental health Research that incorporated this methodology evidenced the importance of analysing symptoms and well-being together (e.g. Góngora & Castro Solano, 2017)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
