Abstract
Introduction
The beginning of university education is a transitional moment in which the student moves from one setting to another. While some students may be able to adjust to their new surroundings at this time, others may experience difficulty, worry, tension, despair, and rage (Mohd Sidik et al., 2003). Emotional problems are a mental health concern that can lead to depression episodes worsening (Tomoda et al., 2000). Comorbidity, personality changes, and suicide attempts are all linked to these issues (Dahlin et al., 2005). About 57% of medical students in Singapore suffer from mental anguish, according to the report (Ko et al., 1999). Furthermore, around 23% of medical students in the United States suffer from depression, and 57% have significant levels of emotional discomfort (Mosley et al., 1994). Emotional disorders also interfere with young people’s ability to perform tasks, such as hard to maintain appropriate social relationships with their peers and adults, and succeeding in school.
Academic and behavioral issues, aggressive and disruptive behaviors, and tantrums are all common among children and adolescents with behavioral disorders (Maughan et al., 2006; Mayfield et al., 2005). Furthermore, adolescents with behavioral issues have weak academic skills and attain low levels of performance (Malmgren & Leone, 2008). These pupils are also less likely to join a club or engage in social activities. Furthermore, this student’s average score is lower than any other impairment category, with significant dropout rates (55%) (Wagner, 2005).
Anger plays a significant role in emotional disorders (Barlow et al., 2014). Exposure to an intense wave of anger could result in a loss of self-controlling, the appearance of the domination idea with strong competitive behavior, and negative feelings in many individuals. The effect of this anger wave can extend even after the end of its original situation and this may be accompanied by a state of anxiety, tension, and excitement. This sequence of anger is termed what is called anger rumination. Rumination causes people to focus on problems that trigger negative emotions (Nolen-Hoeksema et al., 2008). furthermore, Anger rumination also has a poor impact on social adjustment (Bushman, 2002), lowers the ability to manage anger, and even converts anger into aggressive conduct toward innocent persons who were not involved in the provocation (Besharat & Pourbohlool, 2013; García-Sancho et al., 2016). Anger has also been linked to mental problems (Bravo et al., 2020) and has been shown to worsen bad moods (Genet & Siemer, 2012).
Rumination on the causes, situational aspects, and consequences of rage is known as anger rumination (Sukhodolsky et al., 2001). As well, Spielberger (1991) also defines anger as an emotional status varying from a simple level to a high level. Individuals with high-level anger deal with more stress, health problems, negative effects, and psychological distress (Besharat et al., 2009). Individuals with high anger rumination are more likely to perceive situations as irritating and repress anger than those with low anger rumination (Takebe et al., 2016). Similar to fear and anxiety anger is a negative emotional state related to high levels of a negative impact, therefore it may probably play a significant role in emotional disorders (Barlow et al., 2014).
Rumination has been linked to despair, anxiety, and shock reactions (Kubota et al., 2015; Nolen-Hoeksema et al., 2008). Rumination and rage were also found to be detrimental factors in tolerance (Fatfouta et al., 2015; Wu et al., 2019). The student who suffers from severe rumination is more likely to internalize the thoughts and feelings associated with anger or sadness. While, the student expressed a low level of rumination is more willing to allow these feelings to dissipate (Collins & Bell, 1997). As a result, adolescents with high trait-anger ratings demonstrated a mix of good and negative social behaviors (social conformance, social sensitivity, and help collaboration) (aggressiveness, dominance, and antisocial-delinquent) (Garaigordobil, 2011).
Anxiety acts as a cognitive response to avoid disturbing thoughts or emotions. Anxiety disorders commonly appear in youth (Polanczyk et al., 2015). Youth with anxiety frequently avoid interactions, and their anxiety problems are linked to negative outcomes such as poor peer perception (Verduin & Kendall, 2008), bad social relationships (Kingery et al., 2010), and low academic accomplishment (Nail et al., 2015). Moreover, individuals with high worry may use several cognitive avoidance strategies to distract from distressing thoughts (Koerner & Dugas, 2006; Sexton & Dugas, 2008). The fear of anxiety and negative perceptions about anxiety were linked to all cognitive avoidance methods (Sexton & Dugas, 2008). Self-blame, ruminating, blaming others, and avoidance of frightening stimuli were also significantly higher among those with generalized anxiety and high worriers (Nasiri et al., 2020).
Avoidance is a natural reaction that is sensitive to the survival of individuals (Hayes et al., 1996). Distraction, concern, and thought suppression are all examples of cognitive avoidance. This sort of avoidance is used to get away from or avoid thinking about unpleasant situations or difficulties (Sagui-Henson, 2017). Anxiety disorders, depression, social phobia, generalized anxiety disorder, and obsessive-compulsive disorder were all linked to thought control mechanisms (Barlow, 2014; Goodwin et al., 2017). According to several studies, cognitive avoidance plays a significant role in generalized anxiety (Tempesta et al., 2013). Additionally, one of the cognitive avoidance variables that can play a key role in anxiety disorders is cognitive emotion regulation (Bruggink et al., 2016). Furthermore, cognitive avoidance is a coping strategy for dealing with the effects of potentially dangerous or scary situations. Coping mechanisms with disconnection targeted avoidance of conflict with threat or avoidance emotions associated with stress (Skinner et al., 2003). Also, Cognitive avoidance methods have also been researched as fundamental aspects of mental diseases such as depression, social phobia, generalized anxiety disorder, and obsessive-compulsive disorder (Barlow et al., 2014). Moreover, repetition and enhancement of cognitive avoidance reduced the regulation of negative feelings and enabled the individual to avoid inner experiences (Borkovec et al., 2004).
Cognitive avoidance is thought to be one of the causes of anxiety in general (Sexton & Dugas, 2008). An approach for controlling worried thoughts is cognitive avoidance. It’s referred to as an automatic mechanism for avoiding uncomfortable thoughts (Borkovec & Roemer, 1995). Generally, cognitive avoidance is linked with individuals with a high tendency to worry (Koerner & Dugas, 2006). Therefore, cognitive avoidance could be used to differentiate adult individuals with generalized anxiety and healthy ones (Donovan et al., 2017). Linearly, avoidance of threatening stimuli could be used to discover people suffering from general anxiety disorder from healthy persons (Nasiri et al., 2020).
Emotion regulation disturbance has recently gained popularity among university students. The term “difficulties in emotion regulation” (also known as “emotional regulation disturbance” or “emotional dysregulation”) refers to a poorly regulated emotional reaction. It’s also known as mood swings, mood lability, or marked mood fluctuation (Bjureberg et al., 2016). Emotional disorders were found to be prevalent in 48.3% of Malaysian university students (Al-Naggar & Al-Naggar, 2012). Emotion control disorders have been linked to a variety of psychological issues, including depression (Werner-Seidler et al., 2013), aggression (Donahue et al., 2014), anger (Beauchaine & Thayer, 2015), and anxiety (Southam-Gerow & Kendall, 2002). Moreover, difficulties in emotion regulation have been different in response to gender (Fanti & Henrich, 2010). Linearly, gender significantly influences emotional disorders among university students (Tice & Bratslavsky, 2000). Briefly, girls have exhibited more internalizing symptoms such as worry, sadness, withdrawal, and fear. On another hand, boys have exhibited more externalizing symptoms like impulsivity, verbal and physical violence, and agitation (Benarous et al., 2015). In addition, one of the causes of failure in self-regulation and self-control was emotional management problems (Tice & Bratslavsky, 2000).
Concerning the link between emotion regulation problems and anxiety, the inability to control emotions is linked to anxiety (Martin & Dahlen, 2005; Mennin & Farach, 2007). Moreover, Leahy (2002) suggested that individuals who suffer from generalized anxiety tend to have an inadequate understanding of their emotions. In addition, individuals with generalized anxiety could suffer from anxiety, sadness, anger, rumination, and self-criticism (Martin & Dahlen, 2005). Also, these individuals tended to respond reactively, as they attempt to gain control over the situation by trying to escape or decrease the intensity of emotional experience (Fresco et al., 2007). The current work aimed to determine the effect of gender, and emotional regulation disturbance on cognitive avoidance, anger rumination, and general anxiety in undergraduate students. Study 1’s goal was to look at the psychometric aspects of emotional regulation disturbance, cognitive avoidance, angry rumination, and generalized anxiety. Study 2’s goals were to find out about:
Differences in cognitive avoidance, angry rumination, and generalized anxiety between males and females.
Differences between low and high levels of emotion regulation in cognitive avoidance, anger rumination, and generalized anxiety.
The interaction between gender (male and female) and emotion regulation (low and high) affect cognitive avoidance, anger rumination, and generalized anxiety.
Study 1
Methods
Participants and Procedure
Participants were requested to voluntarily reply to the online study instruments using Google Forms (Google Inc.). Students could use their smartphones to react to research tools online. The data was acquired in two phases: initially, data was collected from (80) participants in order to examine the study instruments’ factor structure (difficulties in emotion regulation, cognitive avoidance, anger rumination, and generalized anxiety scales). Second, data was collected from (150) people in order to examine the research tools’ confirmatory component (difficulties in emotion regulation, cognitive avoidance, anger rumination, and generalized anxiety scales). The Cronbach’s alpha and internal consistency of the research instruments were examined using three samples drawn from (99) participants.
Measures
Analytical Statistics
The SPSS software package version 24 was used to analyze the data. The research instruments’ validity was investigated using exploratory factor analysis and principal component analysis utilizing the Varimax rotation approach with Kaiser Normalization. Cronbach’s alpha test was also used to verify the measurements’ reliability.
Results
Exploratory Factor Analyses of the Research Tools
Difficulties in emotion control scale exploratory component analysis revealed four factors with a cumulative explained variance of 87.33% of the total variation (Table 1). The first component accounted for 36.99% of the variance, whereas the second, third, and fourth factors accounted for 20.297%, 17.28%, and 12.76% of the variance, respectively. To achieve a good fit for the factor analysis, items 15 and 16 from the lack of emotional clarity dimension were removed. After eliminating item (25) from the cognitive avoidance scale, an exploratory component analysis revealed five factors with a cumulative explained variance of 82.39% (Table 1). The first component explained 36.81% of the total variance, followed by the second 19.37 %, the third 10.29 %, the fourth 8.90 %, and the fifth 7.03 % factors. Additionally, the results of the anger rumination scale also revealed that four factors accounted for 75.88% of the total variation. The first factor accounted for 43.80% of total variation, while the second factor accounted for 13.65%. Furthermore, the third factor explained 10.46% of the variance, followed by the fourth factor at 7.97%. In addition, the generalized anxiety scale’s exploratory factor analysis revealed only one factor with a 70.02% explained variance.
Eigenvalues, Total Variances of Difficulties in Emotion Regulation, the Cognitive Avoidance, Anger Rumination, and the Generalized Anxiety.
Table 2 shows the distribution of items on the dimensions of difficulties in emotion regulation, cognitive avoidance, anger rumination, and generalized anxiety after the exploratory factor analysis. Furthermore, all items have good saturation, and the factor is named by the content of the highest saturation item within.
The Items and Factor Structure of Difficulties in Emotion Regulation, the Cognitive Avoidance, Anger Rumination, and the Generalized Anxiety Scale After Factor Reduction Procedures.
The confirmatory factor analysis of the study of the tool revealed that the scale items had appropriate saturation values. It also demonstrated an excellent model fit for the problems with emotion regulation (Figure 1). The NFI, RFI, IFI, TLI, CFI, and GFI values were 0.954, 0.940, 0.981, 0.975, 0.981, and 0.903, respectively, indicating that the model fit was good. Similarly, the root mean square error of approximation (RMSEA) and standardized root mean square residual (SRMR) values were 0.060 and 0.0519, respectively, indicating a reasonable model fit because these values were less than 0.07 and 0.08. Furthermore, the cognitive avoidance model fits. The NFI, RFI, IFI, TLI, CFI, and GFI values were 0.902, 0.90, 0.958, 0.952, 0.958, and 0.900, indicating an excellent fit. Similarly, the root mean square error of approximation (RMSEA) and standardized root mean square residual (SRMR) values were 0.061 and 0.0510, respectively, indicating a reasonable model fit because these values were less than 0.07 and 0.08. (Figure 2). Furthermore, the model matched the angry rumination. NFI, RFI, IFI, TLI, CFI, and GFI were all 0.903, 0.900, 0.957, 0.949, 0.957, and 0.900, indicating that the model fit was good. Similarly, the root mean square error of approximation (RMSEA) and standardized root mean square residual (SRMR) values were 0.060 and 0.0549, respectively, indicating a reasonable model fit because these values were less than 0.07 and 0.08 (Figure 3). The model also fit the generalized anxiety. NFI, RFI, IFI, TLI, CFI, and GFI were all 0.976, 0.959, 0.989, 0.981, 0.989, and 1.000, indicating that the model fit was good. Similarly, the root mean square error of approximation (RMSEA) and standardized root mean square residual (SRMR) values were 0.060 and 0.0214, respectively, indicating a strong model fit because these values were less than 0.07 and 0.08 (Figure 4).

The confirmatory factor analysis of the difficulties in emotion regulation.

The confirmatory factor analysis of the cognitive avoidance.

The confirmatory factor analysis of the anger rumination.

The confirmatory factor analysis of the generalized anxiety.
Cronbach’s Alpha and Internal Consistency Analysis
Tables 3 and 4 show the internal consistency, Cronbach’s alpha, means, and standard deviations for all research instruments. Internal consistency of emotion regulation issues ranged from 0.59 to 0.84. Furthermore, the internal consistency of cognitive avoidance ranged from 0.50 to 0.77, while rage rumination ranged from 0.56 to 0.78. The generalized anxiety’s internal consistency ranged from 0.85 to 0.93. Furthermore, Cronbach’s alpha of the present study’s difficulties in emotion control is 0.91. Furthermore, Cronbach’s alpha for cognitive avoidance was .94 to .97, with a total scale of .92. Cronbach’s alpha for anger rumination ranged from .90 to .94, with a total scale value of .89, compared to .96 for the generalized anxiety scale.
Internal Consistencies of the Study Tools.
The Study Tools’ Cronbach’s Alpha.
Discussion
The factor structure of the challenges in the emotion control scale revealed four-factor structures in the current investigation. Furthermore, the findings revealed that all items on the associated factor were saturated. These findings concurred with Fowler et al. (2014) but differed from those of Bjureberg et al. (2016). In addition, the factorial structure of the challenges in the emotion regulation model included four factors: restricted availability to effective emotion regulation tools, impulse control difficulties, difficulty engaging in goal-directed activity, and non-acceptance of negative feelings. The fifth factor of emotional ambiguity was eliminated. These findings corroborated prior findings (Fowler et al., 2014).
The cognitive avoidance scale was found to have a five-factor structure that included distraction, avoidance of threatening stimuli, thought suppression, transformation of images into thoughts, and thought replacement. These findings were previously published (Sexton & Dugas, 2008).
Remarkably, the factors of the thoughts after anger, the anger memories, the understanding causes, and the revenge thoughts formed the factorial structure of the anger rumination scale. The findings match those of Sukhodolsky et al. (2001). Besides, the generalized anxiety scale was composed of only a one-factor structure with efficient item saturation. This result matches Spitzer et al. (2006).
Internal consistency was found in the measures for difficulty with emotion regulation, cognitive avoidance, angry rumination, and generalized anxiety. These scales also exhibited a good Cronbach’s alpha match.
Study 2
Methods
Participants and Procedure
The participants voluntarily responded to study tools on the Google Forms application (Google Inc.) using their smartphones. The data were collected from (418) university students 42 males with an age average of 20.12,
Measures
After establishing the good fit of the research instruments to the Egyptian student samples in Study 1 and testing their validity and reliability, the tools were used in Study 2 as follows:
Bjureberg et al. (2016) developed a 14-item
Understanding causes (
Analytical Statistics
The data was collected and entered into IBM SPSS statistics version 24 for statistical analysis. The data were analyzed using a two-way ANOVA with the Bonferroni mean separation test as the mean separation test. The findings were reported as least square means ±
Results
Concerning the effect of gender, difficulties in emotional regulation, and their interaction on cognitive avoidance, generalized anxiety, and anger rumination (Tables 5 and 6), the male students were not significantly different in cognitive avoidance (86.440 ± 2.094) than female ones (88.700 ± 0.770). The same trend appeared in either generalized anxiety or anger rumination findings, as the males possessed no significant differences in generalized anxiety and anger rumination (6.148 ± 1.161; 42.485 ± 1.421) than the females (7.758 ± 0.427; 43.982 ± 0.522) (
Effect of gender and difficulties in emotion regulation on cognitive avoidance, generalized anxiety, and anger rumination
Means the interaction between gender and difficulties in emotion regulation.
Two Way ANOVA Analysis for the Effect of Gender and Difficulties in Emotion Regulation on Cognitive Avoidance, Generalized Anxiety, and Anger Rumination.
Means the interaction between gender and difficulties in emotion regulation.
Interestingly, the individuals with high difficulties in emotional regulation sustained high cognitive avoidance and anger rumination (92.298 ± 1.126; 45.114 ± 0.764) compared with others with low emotional regulation disturbance (82.842 ± 1.927; 41.354 ± 1.307) (
Discussion
A complex mix of biological, developmental, and cultural variables caused gender variations in mental functioning and behaviors. These distinctions have been discovered in a range of areas, including mental health, cognitive aptitude, personality, and emotions (Geary, 2010). The current research found that student gender had no influence on cognitive avoidance. These findings contradicted (Matud, 2004; Mazure & Maciejewski, 2003), which found that women are more likely than men to utilize emotion-focused coping mechanisms to deal with stressors. Furthermore, these findings were in agreement with Dickson (2012). Similarly, there were no significant variations in generalized anxiety between males and girls. Females showed higher generalized anxiety symptoms than males, which differed from prior studies (Lavanya & Manjula, 2017; Teer, 2012), as females had more generalized anxiety symptoms than males.
Females had significantly higher stress and anxiety symptoms, according to Hou et al. (2020), whereas males had stronger stress resilience. According to Gao et al. (2020), both female and male college students experience minor anxiety during their first 3 years of education. In the first and second years of the study, female students rated significantly higher in anxiety than male students. Furthermore, when compared to male students, female students had more symptomatology related to pain and weariness (Bitsika et al., 2010).
In terms of anger rumination, the study found no differences between male and female pupils. This result was in line with expectations (Garaigordobil, 2011; Kannis-Dymand et al., 2019). In the Spanish sample, Kannis-Dymand et al. (2019) found that gender differences had no effect on rage. In the Australian sample, Kannis-Dymand et al. (2019) discovered that males have greater rage scores than females.
High emotional dysregulation resulted in higher cognitive avoidance and anger rumination. Moreover, either low or high emotional regulation disturbance didn’t influence the generalized anxiety. This finding differed from those of Hofmann et al. (2012) and Liverant et al. (2008). According to Hofmann et al. (2012), problems with emotion regulation have been linked to a variety of emotional disorders, including anxiety and major depressive disorder. Furthermore, Liverant et al. (2008) claim that expressive suppression helps people with low anxiety levels feel less melancholy. However, this impact was lost on people who had significant levels of worry. Rumination, thought suppression, and reappraisal were strongly linked with symptoms of sadness, anxiety, and eating disorders, according to Aldao and Nolen-Hoeksema (2010). Also, significant relationships were reported between generalized anxiety and high levels of difficulties in emotional regulation, low level of mindfulness (Roemer et al., 2009), and defects in specific regulation, impulse control, emotional clarity, acceptance of emotion, access to effective regulation strategy, and ability in involving in goal-directed behaviors (Salters-Pedneault et al., 2006).
Conclusion
The study concluded the fitting of cognitive avoidance, anger rumination, general anxiety, and emotional regulation disturbance scales to the Egyptian student’s environment with efficient validity and reliability indicators. Moreover, the student's gender didn’t influence cognitive avoidance, anger rumination, and generalized anxiety. Also, the student with high difficulties in emotion regulation could suffer from anger rumination and use cognitive avoidance as a strategy to gain control over the difficulty of the positions.
Limitations
There are some limitations to this study. First, the sample size was acquired from students at Egypt’s University of Sadat City. Second, this study was limited to investigating differences in cognitive avoidance, anger rumination, and general anxiety in response to gender, and emotional regulation disturbance variables. Third, in cognitive avoidance, angry rumination, and generalized anxiety, there were no differences between males and females. In contrast, Individuals with significant emotional regulation disturbance, on the other hand, reported strong cognitive avoidance and rage rumination. In light of, the fourth technological revolution, meta-virus technology, and the isolation of the university student from real social interaction. Which will cause behavioral and emotional disturbances, putting the student in dire need of aid to reduce his disorders. we recommend further studies on this subject.
