From this perspective, the difference between normal and pathological functioning would be mainly quantitative. The model comprehensively explains how information processing functions as a fundamental, core transversal process that leads to adaptive or maladaptive biases. This model establishes a solid framework, not only to coherently conceptualize the dimensional nature of adaptability, but also to incorporate a set of principles, mechanisms, and formulations stemming from diverse theoretical roots, in order to better understand mental functioning. A good example is the updated generic cognitive model, which postulates that psychological problems and clinical disorders are merely an accentuation of normal adaptive functioning. New theoretical and empirical endeavors aim to incorporate this comprehensive perspective, particularly in the realm of emotional disorders. Moreover, protective prospective factors have not been sufficiently addressed. Most research on psychopathology has provided an incomplete picture of mental health by focusing mainly on vulnerability factors and omitting processes that may explain human adaptive functioning and well-being. Openness to the Future is presented as an empirically feasible and theoretically consistent construct that includes both prospective and protective factors in the psychopathological chart. These findings suggest that the Openness to the Future scale is a valid and brief measure of openness to the future for use with clinical and community samples, and it could help to fill a gap in the literature regarding attitudes towards the future and their implications. Moreover, the Openness to the Future scale shows good convergent and discriminant validity. Results support a unidimensional structure and indicate that the items function similarly across clinical and community samples. Moreover, convergent and discriminant validity were examined by correlating the OFS with theoretically related constructs. Psychometric properties of the OFS were analyzed using Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT) analyses, establishing cut-off points to better classify these two groups. This study presents the development and validation of a scale for measuring Openness to the Future in clinical ( nā=ā412) and community ( nā=ā890) samples. Although some scales assess future orientations, the complexity of this concept has not yet been captured therefore, there is a need for new instruments. Openness to the Future is a construct characterized by positive affectivity towards the future, which can be a protective factor for mental health. A positive view of the future is an indispensable process in attaining desired goals and wellbeing. New theoretical and empirical endeavors aim to incorporate this perspective, particularly in the realm of emotional disorders. Moreover, research has not sufficiently addressed prospective protective factors for mental health. Most of the research on psychopathology has provided an incomplete picture of mental health by focusing on vulnerability factors and omitting the transversal processes that may explain human adapted functioning.
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