1
Mind Over Matter: Exploring the Interplay of Openness to Experience, Depression, Race, and
Education Level in Young Adults
Kiari Walker
Liberty University
EDCO 745
June 10, 2024
2
Mind Over Matter: Exploring the Interplay of Openness to Experience, Depression, Race, and
Education Level in Young Adults
Introduction
This stage is a pinnacle of development for every individual given that several cognitive,
emotional and social transformations occur. This is where people have to deal with dynamic
interactions between their personality, psychological condition, and life context, all of which
significantly define oration paths. The current literature review aims at exploring the relationship
between openness, depression, race and education level among young adults with the hypothesis
that openness is inversely related to depression. It is imperative to comprehend these
relationships and their strength, as they are the key to entertaining proper prevention and
intervention strategies and policies that will enhance children's mental health and academic
performance.
Openness to Experience
Openness is one of the five global factors of personality that includes features related to
courage, poetry, and interest in ideas and novelty (Costa & McCrae, 1992; DeYoung et al. ,
2007). This personality element is one of the features in the influential trait theory the Five
Factor Model. Personality characteristics such as openness make people creative, receptive to art
and beauty, and endorse/include different perspectives from traditional ones (Kaufman & Baer,
2001; King, Hunt & McAbee, 1996). These people are typically characterized as creative,
analytical, non-judgmental, thinking individuals.
Research has shown that openness to experience can be a particularly good predictor for
various psychological variables. It makes emotional self-regulation more important when people
3
are more open – they are more easily affected by their feelings, and experience more thoughts
and ideas (Nusbaum and Silvia, 2011; Shi et al. , 2016). J_OPEN people are more inclined
towards seeking more of thing, ideas, concepts or even point of view means these individuals
foster an optimal personal development within them as well as enriching cognitive structure.
The openness to experience extends beyond the ability to grasp concepts, and it is also an
ability to have experiences. The ‘thinking’ domain, or called ‘intellect’, is defined as the degree
to which a person enjoys and participates in activities involving thinking, comprehension of
intricate concepts, and interest in ideas (DeYoung, 2015). This sub-factor has been coined as
‘openness’; it refers to an appreciation of novelty, novel experiences, feelings and outlooks on
life (Flynn et al. , 2017).
Some researchers have argued that openness to experience contributes significantly to
creativity and divergent thinking behavior (Kaufman and Baer, 2002; King et al. 1996).
Personality differences show that those with high openness will be able to come up with new
ideas, be able to look for relationships between two different ideas and approach problems in
ways that are differs from others. In line with enhancing creative achievement in multiple
domains such as arts, sciences and other business areas, this trait is seen to be linked to
creativity.
Depression and Its Relationship with Personality
Depression is one of the most common psychiatric disorders typified by feelings of
sadness, loss of interest/pleasure, and disability (APA, 2013). As per the current established
guidelines present in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition –
DSM-5, the diagnostic criterion for major depressive disorder incorporates symptoms and time
frame.
4
Consequently, there has been a plethora of research focusing on the association between
personality characteristics and depressive symptoms. There was a significant and positive
association between neuroticism and depression wherein neuroticism – a trait characterized by
negative affectivity, has been shown to predict an increased probability of developing depression
in previous studies (Jylhä & Isometsä, 2006; Hakulinen et al. , 2015). On this count, there is no
unanimity regarding the relationship between openness to experience and depression, although
some research has positively associated it (Quilty et al. , 2009), while others found no correlation
(Sutin et al. , 2010).
In assessing depressive symptoms, questions like the ones used in the Depression
Anxiety Stress Scales (DASS-Depression) (Lovibond & Lovibond, 1995) and Beck Depression
Inventory (BDI) (Beck, Steer, & Brown, 1996) are usually used. These instruments offer
objective measures of the level of depression and, therefore, enable the growing literature to
examine the ways in which it is connected to other variables, such as personality characteristics.
The Moderating Role of Race
Culture, ethnicity and racial factors have been established as significant predictors of
mental health, within the parameters of the depressive disorder and its health management
(Williams & Mohammed, 2009; Alegria et al. , 2008). Research evidence has shown that several
aspects of diagnosis, treatment and prognosis of mental health disorders vary on ethnical factors.
Systemic racism, combined with gender, race, and ethnicity, could partly explain such disparities
due to sociocultural, economic, and systemic differences within society.
This especially involves exploring how the race and ethnicity could intersect with
psychological traits and experiences in complex ways for insights into the social constructs.
Intersectionality deems that a person cannot blank-check their social categorization by
5
nationality or race only but comprises of intricate diversities including race, color, gender,
economic class, and sexual preference among others as postulated by Clark et al. (1999). Such
cross-sectional categories can significantly shape not only how people concerned perceive and
communicate mental disorders but also depressive symptoms.
Finally, the manner in which we define and manifest mental health problems and
concerns can also be influenced by cultural characteristics such as norms, beliefs, practices, and
perspectives of the social and cultural worlds that people of color exist in (Sue et al. , 2012). For
instance, some cultures may consider more acceptable somatic or physical symptoms of the
disorder, though others may consider more appropriate those of emotional or psychological
kinds. These cultural differences may consequently affect Acknowledgment, Reporting, and
Assessment of depressives.
Thus, personal, and cultural factors can control the extent to which one perceives himself
or herself or the world. Some cultures promote obedience and preservation of norms that might
inhibit the first factor, while others promote curiosity and a newer approach to each experience
proposed. These cultural factors can have an interface with personality traits of a person that in
turn creates a specific cognitive and emotive pattern.
Taking the widely researched relationship between depression, personality traits, and
race, I have identified the following empirical literature. Gonzalez, Vega, and Minegawa (2011)
extensively reviewed the literature to document the epidemiology of major depression in terms
of ethnic variations in the United States. They revealed highly contrasting rates of depressive
experiences and the severity of depressive symptoms, along with the difficulties in addressing
these issues due to potential cultural bias in the recruitment and assessment methodologies used
in the studies.
6
An intersectional approach was also highlighted by Kirmayer et al. (2011) for analyzing
the impact of cultural factors influencing the presentation of and perceptions to mental health
difficulties. He and his co-authors claimed that to understand the origin of meaning, mental
health professionals should pay attention to how culture, cognition, and biology intersect in the
people that they serve.
Covish and colleagues identified that race and ethnicity significantly moderate how
personality characteristics predict mental health outcomes. For instance, Mõttus et al. , 2012
conducted a study where they agreed conclusions that the relationship between neuroticism and
depression differs in ethnic groups implying that culture plays a significant role in the
manifestation and perception of traits and symptoms.
On a related note, it is paramount to acknowledge the inherent nature of race and
ethnicity as multi-dimensional aspects that are defined cross-culturally and socially. These
complicated constructs can easily be stereotyped as or over-generalized if simplified.
Practitioners in the field of research and mental health should attempt to assess culture and
cultural relevance from the point of view of base culture and presumed culture.
If we embrace the moderating analysis of race and adopt an intersectional approach,
mental health workers and researchers will be able to learn better ways of identifying and
responding to people of color of different genders, sexual orientations, and abilities, thus coming
up with more appropriate interventions and policies. Thus, the studies that shed the light on the
relations between the race/ethnicity, personality predispositions and the mental health can help
improve the understanding of the mentioned processes and contribute to effective practices.
The Moderating Role of Education Level
7
Education level also aims higher which can be an independent determinant of mental
health status (Mirowsky & Ross, 2003). Education is an important factor in the ability to
effectively cope with depression and shows that the people with higher levels of education have
lower rates of depression and better mental health (Adler et al. , 1994). Different authors have
suggested some mediators that education might work through to achieve protection, such as
enhanced resource availability, better-coping response patterns, and existence of increased brain
reserves (Deary et al. , 2007).
Moreover, it has become widely accepted that education influences the degree of
personality of development or the extent to which individuals can exhibit openness to
experience, within the lifespan (Roberts et al. , 2005; Deary et al. , 2008). It is also
acknowledged that individuals with high education status are characterized with higher levels of
intelligence, curiosity, creativity and openness and these factors may clearly influence the
cognitive and emotional processes.
Another survey of various quantitative findings investigates the correlation between
education, personality, and depressed level. Johnson et al. (2007) have analyzed the possibility of
education to act as a protective factor for mental health and, in the same way, Schnittker (2008)
researched the relationship between SES, personality, and depression symptoms.
Integrating the Themes: A Comprehensive Understanding
Although prior studies have investigated each of the factors, individual openness to
experience, depression, race, and education level, it is significant to understand their interactions
to inform the practice of intervention as well as policy. There are comprehensive specific models
and theoretical systems suggested to describe these intricate interconnections (DeYoung, 2015).
8
For instance, the WOCO (Withdrawal-Openness-Cognitive-Openness) model (DeYoung,
2015) suggests that openness to experience encompasses two distinct aspects: knowledge-based
cross-modality and daily life experience profound thinking receptiveness, which include
cognitive openness and openness to experience. This model allows for one to begin examining
how this factor of openness may relate to depression, race, as well as education level in a more
complicated manner.
Identifying Gaps and Future Directions
Though the previous studies have provided insights into several facets of the kind of
relationship that may exist between openness to experience, depression, race, and education
level, there are still some research limitations and suggestions which may be discussed below:
1. Longitudinal studies: Most of current studies are cross-sectional and thus provide limited
insight into cause-and-effect processes affecting these variables. Further research, based
on longitudinal designs, would also be thorny to investigate various changes in
personality traits, mental health, and life events throughout young adulthood.
2. Intersectional approaches: I have established that numerous investigations were
conducted for these variables separately or in few configurations only. It is also possible
that taking a more intersectional approach that would include, for example, the
sociodemographic variables of race and education level together with other
sociodemographic factors might produce a richer account of the myriad
interdependencies.
3. Cultural considerations: Some studies have investigated cultural aspects, nevertheless,
more work is necessary to elaborate how KFF dimensions affect openness to experience,
and depression given cultural values, beliefs, and practices among different minorities.
9
4. Intervention and prevention strategies: Moving beyond the work presented in integrative
models and empirical analyses of YAs’ SAs and PSB, more effective prevention efforts
should be directed to the fine-grained, culturally sensitive interventions that fit the needs
of various population of YAs.
Conclusion
In conclusion, the present paper has reviewed literature on the relationship between
openness to experience, depression, race, and education level in young adults. Although
openness to experience has implications for creativity and cognitive elaboration, the extent to
which it also relates to depression seems to depend on the level of racial background and
educational achievement. There are correlations between race and culture in relation to
depression, and these cannot be overlooked when analyzing the distribution and manifestation of
the disorder. Further, there is positive relationship between educational attainment and the states
of mental health and one of the bases for personality development openness is also rooted in
education.
For the above intricate relations to be understood and resolved, it is therefore necessary to
embrace integrative models and empirical studies that retain the interplay of the above variables.
Special attention should be paid to using longitudinal study designs, intersectional frameworks,
and culture sensitivity because of the dynamic and complex nature of the above-identified
phenomena.
Our findings contribute to the knowledge of how these variables affect self- rated
openness to experience, depression, and young people’s academic achievements, and thus aid in
helping design effective policies and interventions to enhance the mental health and academic
success of young adults. But this line of inquiry can indeed not leave the door open for positive
10
development, resilience, and creativity at this sensitive age of development to aid youths become
effective adults in the probable difficult social stage.
11
References
Adler, N. E., Boyce, T., Chesney, M. A., Cohen, S., Folkman, S., Kahn, R. L., & Syme, S. L.
(1994). Socioeconomic status and health: The challenge of the gradient. American
Psychologist, 49(1), 15-24. https://doi.org/10.1037/0003-066X.49.1.15
Alegria, M., Chatterji, P., Wells, K., Cao, Z., Chen, C.-N., Takeuchi, D., Jackson, J., & Meng,
X.-L. (2008). Disparity in depression treatment among racial and ethnic minority
populations in the United States. Psychiatric Services, 59(11), 1264-1272.
https://doi.org/10.1176/ps.2008.59.11.1264
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders
(5th ed.). American Psychiatric Publishing.
Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck Depression Inventory-II.
Psychological Corporation.
Clark, L. A., & Watson, D. (1999). General affective dispositions in physical and psychological
health. In C. R. Snyder & D. R. Forsyth (Eds.), Handbook of social and clinical
psychology: The health perspective (pp. 221-245). Pergamon Press.
Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and
NEO Five-Factor Inventory (NEO-FFI) professional manual. Psychological Assessment
Resources.
Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational
achievement. Intelligence, 35(1), 13-21. https://doi.org/10.1016/j.intell.2006.02.001
DeYoung, C. G. (2015). Openness/Intellect: A dimension of personality reflecting cognitive
exploration. In M. L. Cooper & R. J. Larsen (Eds.), APA handbook of personality and
12
social psychology: Personality processes and individual differences (Vol. 4, pp. 369-399).
American Psychological Association.
DeYoung, C. G., Peterson, J. B., & Higgins, D. M. (2007). Higher-order factors of the Big Five
predict conformity: Are there neuroses of health? Personality and Individual Differences,
43(2), 533-545. https://doi.org/10.1016/j.paid.2006.12.017
Eisenberg, D., Golberstein, E., & Hunt, J. B. (2009). Mental health and academic success in
college. The B.E. Journal of Economic Analysis & Policy, 9(1), 1-35.
https://doi.org/10.2202/1935-1682.2191
Flynn, E., Olson, S., & Yezhuvath, U. (2017). Openness to experience, brain structure, and
cognitive flexibility. The Journal of Creative Behavior, 53(3), 324-334.
https://doi.org/10.1002/jocb.189
Goldberg, L. R. (1999). A broad-bandwidth, public domain, personality inventory measuring the
lower-level facets of several five-factor models. In I. Mervielde, I. Deary, F. De Fruyt, &
F. Ostendorf (Eds.), Personality psychology in Europe (Vol. 7, pp. 7-28). Tilburg
University Press.
Gonzalez, H. M., Tarraf, W., Whitfield, K. E., & Vega, W. A. (2011). The epidemiology of
major depression and ethnicity in the United States. Journal of Psychiatric Research,
45(1), 104-111. https://doi.org/10.1016/j.jpsychires.2010.04.011
Hakulinen, C., Elovainio, M., Pulkki-Råback, L., Virtanen, M., Jokela, M., & Kivimäki, M.
(2015). Personality and depressive symptoms: Individual participant meta-analysis of 10
cohort studies. Depression and Anxiety, 32(7), 461-470. https://doi.org/10.1002/da.22376
Johnson, J., Cohen, P., Dohrenwend, B. P., Link, B. G., & Brook, J. S. (1999). A longitudinal
investigation of social causation and social selection processes involved in the association
13
between socioeconomic status and psychiatric disorders. Journal of Abnormal
Psychology, 108(3), 490-499. https://doi.org/10.1037/0021-843X.108.3.490
Jylhä, P., & Isometsä, E. (2006). The relationship of neuroticism and extraversion to the
symptoms of anxiety and depression in the general population. Depression and Anxiety,
23(5), 281-289. https://doi.org/10.1002/da.20167
Kaufman, S. B., & Baer, J. (2002). Creativity, self-report, and the predictive validity of creative
achievement. Journal of Creative Behavior, 36(4), 222-243.
https://doi.org/10.1002/j.2162-6057.2002.tb01069.x
King, L. A., Walker, L. M., & Broyles, S. J. (1996). Creativity and the five-factor model. Journal
of Research in Personality, 30(2), 189-203. https://doi.org/10.1006/jrpe.1996.0013
Kirmayer, L. J. (2001). Cultural variations in the clinical presentation of depression and anxiety:
Implications for diagnosis and treatment. Journal of Clinical Psychiatry, 62(Suppl. 13),
22-28.
Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states:
Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression
and Anxiety Inventories. Behaviour Research and Therapy, 33(3), 335-343.
https://doi.org/10.1016/0005-7967(94)00075-U
McCrae, R. R., & Costa, P. T., Jr. (1987). Validation of the five-factor model of personality
across instruments and observers. Journal of Personality and Social Psychology, 52(1),
81-90. https://doi.org/10.1037/0022-3514.52.1.81
Mirowsky, J., & Ross, C. E. (2003). Education, social status, and health. Transaction Publishers.
14
Nusbaum, E. C., & Silvia, P. J. (2011). Are openness and intellect distinct aspects of openness to
experience? A test of the O/I model. Personality and Individual Differences, 51(5), 560-
565. https://doi.org/10.1016/j.paid.2011.05.013
Quilty, L. C., Sellbom, M., Tackett, J. L., & Bagby, R. M. (2009). Personality trait predictors of
bipolar disorder symptoms. Psychiatry Research, 169(2), 159-163.
https://doi.org/10.1016/j.psychres.2008.07.004
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university
students' academic performance: A systematic review and meta-analysis. Psychological
Bulletin, 138(2), 353-387. https://doi.org/10.1037/a0026838
Roberts, B. W., Walton, K. E., & Viechtbauer, W. (2006). Patterns of mean-level change in
personality traits across the life course: A meta-analysis of longitudinal studies.
Psychological Bulletin, 132(1), 1-25. https://doi.org/10.1037/0033-2909.132.1.1
Schnittker, J. (2008). Happiness and economic deprivation in the United States. Society and
Mental Health, 1(1), 45-59. https://doi.org/10.1177/2156869311432921
Shi, J., Chen, Z., & Casiano, D. C. (2016). Correlations among depression, loneliness, and
resilience regarding posttraumatic stress disorder in Wenchuan earthquake survivors.
Journal of Social Service Research, 42(2), 204-216.
https://doi.org/10.1080/01488376.2015.1109634
Sue, S., Zane, N., Hall, G. C. N., & Berger, L. K. (2009). The case for cultural competency in
psychotherapeutic interventions. Annual Review of Psychology, 60, 525-548.
https://doi.org/10.1146/annurev.psych.60.110707.163651
15
Sutin, A. R., Terracciano, A., Kitner-Triolo, M. H., Uda, M., Schlessinger, D., & Zonderman, A.
B. (2010). Personality traits prospectively predict verbal fluency in a lifespan sample.
Psychology and Aging, 26(4), 994-1005. https://doi.org/10.1037/a0022391
Williams, D. R., & Mohammed, S. A. (2009). Discrimination and racial disparities in health:
Evidence and needed research. Journal of Behavioral Medicine, 32(1), 20-47.
https://doi.org/10.1007/s10865-008-9185-0