Psychological stress significantly impacts adults and youths, prompting the development of the ambitionprofile app. It targets changeable psychological factors like perfectionism and performance-based self-esteem to reduce workplace stress.
Perfectionism can elevate stress and burnout through unattainably high personal standards. This discussion distinguishes between its adaptive and maladaptive forms, impacting individual mental health.
This section addresses the vicious cycle of maladaptive perfectionism and its links to performance-based self-esteem, which fuels anxiety, depression, and interpersonal issues.
Rising societal pressures and social media’s influence have heightened perfectionism’s role in mental health, underscoring the need for effective intervention.
Investigating the ambitionprofile’s effectiveness, this section discusses its validation through a study on American workers, highlighting its utility in mitigating burnout risks.
Psychological stress significantly impacts adults and youths, prompting the development of the ambitionprofile app. It targets changeable psychological factors like perfectionism and performance-based self-esteem to reduce workplace stress.
(Flett & Hewitt, 2006; Frost et al.,1990). By making a distinction between adaptive and maladaptive perfectionism, the power to predict stress, burnout, and performance can be substantially enhanced. Maladaptive perfectionism reflects a critical evaluation of one’s performance and a strong concern over mistakes and imperfections. Maladaptive perfectionists tend to experience high levels of self-imposed pressure to meet their own expectations, which can lead to stress and burnout (Flaxman et al., 2012). Thus, there are two components at play in maladaptive perfectionism: 1. Self-imposed standards that are so high that are very unlikely to be achieved, and 2. An adverse reaction is based on performance-based self-esteem (Hewitt & Flett, 1991). Performance-based self-esteem is based on one’s accomplishments and success in achieving external goals rather than on one’s intrinsic worth as a person (Stoeber, 2014). Individuals with high levels of maladaptive perfectionism tend to tie their self-worth to their performance and accomplishments, which can be detrimental to their mental health (Flett et al., 1991b; Stoeber & Otto, 2006).
There is an intrinsic relationship between maladaptive perfectionism and performance-based self-esteem. People with maladaptive high levels of perfectionism often tie their self-worth to their performance and accomplishments, leading to a cycle of striving for perfection and feeling inadequate when they fall short of their high standards. This can lead to a constant feeling of pressure to perform and a fear of failure, which can be detrimental to mental health and well-being.
Maladaptive perfectionism is correlated with a range of negative outcomes, including:
The facets of Maladaptive Perfectionism which can be considered relevant in the workplace
Workplace dynamics often exacerbate maladaptive perfectionism traits, affecting productivity and well-being through a fear of mistakes and an inability to delegate.
Perfectionism may have become a more powerful predictor of mental health during the past few decades
There is some evidence to suggest that maladaptive perfectionism has become more prevalent in recent generations. A meta-analysis published in Psychological Bulletin analyzed data from over 41,000 American, Canadian, and British college students and found that the rates of self-oriented, other-oriented, and socially prescribed perfectionism linearly increased since the late 1980s in Western countries (Curran & Hill, 2019). In a similar vein, a meta-analysis conducted by Smith et al. (2019) on studies incorporating both MPS and FMPS revealed that perfectionism has been on the rise over the past 25 years. One possible explanation for this trend is the increasing pressure that young people face to succeed academically and professionally, as well as the rise of social media and the constant comparison and self-presentation that it fosters.
ambitionprofile has been validated by conducting a study on a sample of workers in the United States. The characteristics of the sample are described here, along with the factor structure, reliability of ambitionprofile.
The used sample is a Non-probability convenience quota sample, where responses were collected through a service that connects researchers with people willing to participate in studies such as this one on a first-come-first-served basis, and quotas of 50% females and 50% males were set. The used sample consisted of 722 employed and fluent-in-english adults from the United States. The sample was randomly divided into two samples (samples “A” and “B”) for cross-validation purposes. Sample A was used to create the model, and Sample B was used to confirm the model. The combined sample was used to obtain score reliabilities, correlations and norms. Job titles were very varied. The distribution of the sample participants according to Sex, Age Group, and Race/Ethnicity is described in the table below
Dem | Sex | Age Group | Race/Ethnicity | |||||||||||||
Smp | F | M | Not | 18-24 | 25-29 | 30-34 | 35-39 | 40-49 | 50-59 | 60+ | A/P | B | L | NA | W | Mx |
A | 184 | 176 | 1 | 27 | 59 | 85 | 56 | 78 | 37 | 19 | 32 | 30 | 27 | 1 | 262 | 9 |
B | 184 | 173 | 4 | 28 | 58 | 73 | 69 | 72 | 40 | 21 | 29 | 36 | 26 | 1 | 263 | 6 |
T | 368 | 349 | 5 | 55 | 117 | 158 | 125 | 150 | 77 | 40 | 61 | 66 | 53 | 2 | 525 | 15 |
NOTES: Dem=Demographic, Smp=Sample, A=Sample “A”, B=Sample “B”, T= Total sample, F=Female, M=Male, Not=Sex not indicated, A/P=Asian or Pacific American, B=Black, L=Latino, NA=Native American, W=White, Mx= Mixed Race.
The factor structure of ambitionprofile was obtained from an Exploratory Factor Analysis on a set of 24 items intended to measure behaviors related to the risk of Burnout. This analysis was conducted on Sample A, which yielded five factors: Maladaptive Perfectionism, Drive, Need for Control, Overtasking, and Self-Care. The indices of fit where: RMSEA: .08 and TLI: .88. The factor structure was replicated on Sample B by using a Confirmatory Factor Analysis Procedure.In the confirmatory study the indices of fit were: RMSEA: .08, TLI: .88 and CFI: .90
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