Abstract
The COVID-19 pandemic has caused some traumatic injuries to individuals due to the isolation, loneliness, and uncertainty it has created. Ruminative thoughts and uncertain situations are known to affect trauma. It aimed to evaluate the traumatic effect of the pandemic based on the ruminative thoughts and intolerance of uncertainty in the study. The sample for the descriptive and cross-sectional study consisted of 402 participants. Data were collected by using the questionnaire form, the Post Traumatic Stress Disorder Scale (PTSD), the Ruminative Reactions Scale (RRS), and the Intolerance of Uncertainty Scale (IUS). A positive correlation was discovered between the PTSD mean scores of the study participants and their RRS and IUS scores (p < .05). Furthermore, RRS (β = 0.280) was identified as a variable that primarily affected PTSD (p < .05). It was concluded that both ruminative thoughts and intolerance of uncertainty were predictors of post-traumatic stress disorder in the COVID-19 pandemic. Considering the possible effects of the pandemic, it is recommended to reduce the intolerance to uncertainty, to rework the ruminative thought content with appropriate and effective methods, and to create some programs for gaining problem-solving skills.
Keywords: COVID-19, Pandemic, Post-traumatic stress disorder, Rumination, Uncertainty
Introduction
There have been great breakdowns that have affected societies at different times in history. Some crises and epidemics can be thought of as examples of these major breakdowns and transformation points in history (Karakas, 2020). Today, the COVID-19 pandemic, which has an impact in Turkey and all over the world, is a breaking situation that causes serious threats to people’s physical, and mental health and lives (Hatun et al., 2020). The isolation, loneliness, and uncertainty processes that have occurred during the pandemic have caused some traumatic injuries in individuals. Traumatic injuries cause both losses of function and deterioration of mental health (Kwok et al., 2020; Wallace et al., 2020). New experiences and changes in priorities during the COVID-19 pandemic have led to a reconsideration of daily life problems and a focused trauma cognitive evaluation of life (Wallace et al., 2020). The most important impact of post-traumatic vulnerability associated with Post-Traumatic Stress Disorder (PTSD) is rumination, which consists of over-generalized, distorted thoughts and beliefs about the consequences of a traumatic experience (Preston et al., 2021). Taking into consideration the cognitive model of PTSD, it has been reported that rumination is an avoidant coping strategy that has been used to reduce post-traumatic stress (Lee et al., 2021; Skalski et al., 2021), and it has been claimed that rumination often causes to worsening of trauma symptoms (Schumm et al., 2022).
Another psychological vulnerability factor that is considered a potential factor for mental trauma is intolerance of uncertainty. Since daily life includes many uncertain or ambiguous situations, it can be thought that perceiving uncertain situations as threatening causes negative emotions in the person; and she/he often experiences anxiety. There can be uncertainty about preventing the spread of the pandemic, which has caused many deaths; the treatment has not yet been determined about returning to the old life. It is claimed that this uncertainty can increase the anxiety of individuals, create mental distress, and exhibiting maladaptive behaviors (such as alcohol use), and develop intolerance of uncertainty (Bao et al., 2020; Chung & Yeung, 2020; Ogueji et al., 2021, 2022). During COVID-19, it has been determined that when people are faced with psychological distress or uncertainties, they are at risk for maladaptive coping strategies such as alcohol consumption (Ogueji et al., 2021, 2022).
Uncertainty intolerance is defined as an attempt to control cognitive, emotional, and behavioral responses to uncertain situations and the future. Uncertainty can trigger the loss of control by preventing daily routines and interactions, and it can create a traumatic effect on individuals (Bao et al., 2020; Chung & Yeung, 2020; Horesh & Brown, 2020). Individuals who have a high intolerance for uncertainty perceive the possibility of a negative event as unacceptable and threatening. As a result of this, they exhibit avoidance behaviors in response to increased anxiety symptoms over time (Oglesby et al., 2017). A bad experience such as COVID-19 can have negative physical, emotional, and social effects on a person’s life. It is thought that PTSD can be affected by ruminative thoughts and intolerance of uncertainty (Hyland et al., 2014).
It is stated in the literature that preliminary evidence suggests that intolerance of uncertainty and ruminative thoughts play an important role in the development of PTSD separately. On the other hand, it is estimated that there are some gaps in the literature. As far as we know, no study has evaluated the effects of intolerance of uncertainty and ruminative thoughts on the development of mental trauma for individuals who are exposed to trauma due to COVID-19. Based on this, it is thought that this study can be important in terms of predicting the measures that can be taken for the mental health of society, preventing the mental problems that can occur in the future, and strengthening individuals spiritually.
Taking all this into account, the study has several purposes. First, the study has been conducted to evaluate individuals’ PTSD, ruminative reactions, and intolerance of uncertainty; second, it is aimed to determine post-traumatic stress disorder, ruminative reactions, and intolerance of uncertainty in terms of the sociodemographic characteristics and third, the study has been carried out to evaluate the effect of ruminative thoughts and intolerance of uncertainty on post-traumatic stress disorder.
Methods
Study design and data collection
The research is a descriptive and cross-sectional study. While the descriptive aspect of the study included measures of PTSD, ruminative reactions and intolerance to uncertainty, and various demographic characteristics; it also evaluates traumatic individuals in the COVID-19 pandemic process with its cross-sectional aspect.
The information was gathered between February- March 2022. The study sample consisted of individuals who participated in an online questionnaire via Google Forms. Participants completed the survey via Google Forms, which is a safe online survey platform. It took approximately ten minutes to complete the questionnaires. It was informed that the information would be kept confidential and that the data would only be used in scientific research.
Sample and setting
The research population consisted of individuals aged 18 and over who volunteered to participate in the research. To select samples, the random sampling technique was used. The sample size was calculated using the proportion of people with post-traumatic stress disorder from previous research (Alshehri et al., 2020) and an alpha significance level of 0.05; to achieve 95% statistical power, approximately 246 people would have to be recruited. Of the 450 adults who participated in the study, 15 failed to complete the rating scales, and ten of them were still being treated for serious chronic mental disorders. The study included 402 participants who met the inclusion criteria. There were some inclusion criteria such as being at least 18 years old, being able to read and write in Turkish, and volunteering to participate in the study. On the other hand, there were some exclusion criteria, such as the presence of visual or hearing problems that prevented the filling of the scales, and the presence of a serious chronic mental disorder.
Data collection
Measures
Some instruments such as the Introductory information, Post Traumatic Stress Disorder Scale-Short Form, Ruminative Reactions Scale, and Intolerance of Uncertainty Scale were used to collect the research data.
Introductory information form
The Introductory Information Form consisted of twenty-eight questions and these questions were created in terms of sociodemographic characteristics of individuals, their feelings, and thoughts about the pandemic process.
Post-traumatic stress disorder scale-short form (PTSD)
The scale was developed by LeBeau et al. (2014) Turkish validity and reliability of the scale were conducted by Evren et al. (2016). The scale was one-dimensional and consisted of nine items. The questions were arranged as “How much bothered you by each of the following problems that arose or worsened after an extremely stressful event/experience?”. The scale was scored based on a five-point Likert style (0 = None, 4 = Extremely). The scale was developed to diagnose individuals who may have PTSD in the community, as well as individuals who are likely to meet the criteria for a diagnosis of PTSD in clinical settings. A score between 0 and 36 was taken from the scale. When a high score on the scale was taken it indicated a high level of trauma. The Cronbach’s alpha value of the scale was 0.91 (Evren et al., 2016), and 0.92 in this study.
Ruminative reactions scale (RRS)
RRS, which was developed by Nolen-Hoeksema and Morrow (1991), consisted of 22 questions. The Turkish adaptation of the scale was conducted by Neziroglu (2010). It was a four-point Likert-style scale that evaluated people’s ruminative thinking tendencies toward negative events (1 = never, 4 = always). It includes questions such as “What did I do to deserve this? I think”; “I sit in a corner and think about why I feel this way”. RRS included two sub-dimensions: reflective pondering and brooding. While brooding consisted of 5, 10, 13, 15, and 16 items, reflective pondering consisted of 7, 11, 12, 20, and 21 items. A high score on the scale indicated that people had used ruminative thoughts more as a coping response. The Cronbach alpha internal consistency coefficient of the scale was 0.89 (Neziroglu, 2010), and this rate was 0.95 in this study.
Intolerance of uncertainty Scale- (IUS)
It was developed to measure both the emotional and behavioral reactions of individuals in the case of uncertainty. The first form of the scale was edited by Freeston et al. (1994). It was converted into Turkish by Sarı and Dag (2009). The scale, which consisted of 26 items, was scored by using a five-point Likert type (1 = not describe me at all, 5 = describes me fully). Scale, ‘Uncertainty keeps me from living life to the fullest.‘ contains questions. When high scores were taken in IUS, it indicated that people had a high intolerance for uncertainty. IUS was divided into two sub-dimensions: prospective anxiety and inhibitory anxiety. The minimum score that could be taken on the scale was determined to be 25, and the maximum score was 135. Furthermore, a high score meant a high intolerance for uncertainty. The internal consistency of the Turkish version of the IUS was found to be 0.93 (Sarı & Dag, 2009). In this study, Cronbach’s alpha was 0.95.
Data analysis
The data were analyzed using the Statistical Package for the Social Sciences 24.0 package program. Continuous variables were labeled as mean standard deviation, whereas categorical variables were labeled as numbers and percentages. When parametric test assumptions were met, a t-test and one-way analysis of variance was conducted in independent groups to compare independent group differences. The conformity of the data to the normal distribution was examined using the Shapiro-Wilk test. When parametric test assumptions were not met, the Mann-Whitney U test and Kruskal-Wallis Analysis of Variance were applied to compare independent group differences. Both Spearman Correlation analysis and Hierarchical Regression were conducted to determine the relationships between continuous variables. In all analyses, p < .05 was considered statistically significant.
Results
Socio-demographic findings and mean scores of scales
The mean age of the participants in the study was 25.92 ± 9.30 (min = 17, max = 18). It was detected that 72.4% of the individuals were women and 79.6% were single; 43.5% of them were high school graduates. It was detected that 64.2% of the participants did not work, 54.0% had a medium income, and the majority (94.5%) lived with their families. It was determined that 79.4% of the participants were not infected with COVID-19 (Table 1).
Table 1.
Sociodemographic Characteristics of the Participants (n = 402)
| Demographic characteristics | n | % |
|---|---|---|
| Gender | ||
| Women | 291 | 72.4 |
| Men | 111 | 27.6 |
| Marital status | ||
| Single | 320 | 79.6 |
| Married | 82 | 20.4 |
| Educational status | ||
| High school | 175 | 43.5 |
| Associate degree | 97 | 24.1 |
| Bachelor and above | 130 | 29.6 |
| Working status | ||
| No | 258 | 64.2 |
| Yes | 144 | 35.8 |
| Income status | ||
| Income less than expenses | 145 | 36.1 |
| Income equals expense | 217 | 54.0 |
| Income is more than an expense | 40 | 9.9 |
| Cohabitation status | ||
| Alone | 15 | 3.7 |
| With family | 380 | 94.5 |
| With friends | 7 | 1.7 |
| Passing COVID-19 | ||
| No | 319 | (79.4) |
| Yes | 83 | (20.6) |
| min-max | Mean ± Sd | |
| Age | 18–62 | 25.92 ± 9.30 |
Sd: Standard deviation.
The mean score of the participants was given in Table 2. While examining Table 2, the mean PTSD scores of the participants were found to be 11.41 ± 4.17, the mean RRS scores were 46.91 ± 15.74, and the mean IUS scores were 83.62 ± 24.30.
Table 2.
The Scales Score Averages of the Participants (n = 402)
| Scales | Min-max | Mean ± Sd |
|---|---|---|
| Post-Traumatic Stress Disorder Scale | 0–36 | 11.41 ± 4.17 |
| Ruminative Reactions Scale | 22–87 | 46.91 ± 15.74 |
| Intolerance of Uncertainty Scale | 26–130 | 83.62 ± 24.30 |
Sd: Standard deviation
Comparison of the mean scores of scales according to socio-demographic characteristics
Considering the gender and marital status of the participants in the study, statistical significance was found in the mean scores of PTSD, RRS, and IUS (p < .05). Moreover, the mean PTSD, RRS, and IUS scores of women and singles were found to be high (Table 3).
Table 3.
The Mean Scores of PTSD, RRS, and IUS According to the Sociodemographic Characteristics of the Individuals (n = 402)
| Demographic characteristics | n (%) | PTSD | RRS | IUS | |||
|---|---|---|---|---|---|---|---|
| Mean ± Sd | p | Mean ± Sd | p | Mean ± Sd | p | ||
| Gender | |||||||
| Women | 291 (72.4) | 12.25 ± 9.40 | 0.002* | 48.22 ± 15.43 | 0.007* | 85.26 ± 24.29 | 0.028* |
| Men | 111 (26.7) | 9.22 ± 8.18 | 43.50 ± 16.08 | 79.30 ± 23.88 | |||
| Marital status | |||||||
| Single | 320 (79.6) | 12.37 ± 9.31 | < 0.000* | 49.27 ± 15.78 | < 0.000* | 85.68 ± 23.92 | < 0.000* |
| Married | 82 (20.4) | 7.68 ± 1.59 | 37.72 ± 11.71 | 75.56 ± 24.21 | |||
| Educational status | |||||||
| High school | 175 (43.5) | 12.18 ± 9.67 | 41.46 ± 3.65 | 85.07 ± 23.85 | |||
| Associate degree | 97 (24.1) | 12.27 ± 8.75 | 0.092 | 40.45 ± 3.29 | 0.079 | 82.78 ± 24.27 | 0.601 |
| Bachelor and above | 130 (32.4) | 10.09 ± 5.71 | 39.50 ± 3.50 | 81.72 ± 25.31 | |||
| Working status | |||||||
| No | 258 (64.2) | 12.20 ± 9.10 | 0.021* | 48.96 ± 15.70 | < 0.000* | 85.18 ± 23.50 | 0.084 |
| Yes | 144 (35.8) | 10.01 ± 9.15 | 43.24 ± 15.18 | 80.81 ± 25.51 | |||
| Income status | |||||||
| Income less than expenses | 145 (36.1) | 13.51 ± 9.60 | < 0.000* | 40.96 ± 3.63 | 0.001* | 86.57 ± 24.86 | 0.167 |
| Income equals expense | 217 (54.0) | 10.67 ± 8.65 | 39.81 ± 3.39 | 82.27 ± 23.74 | |||
| Income more than the expense | 40 (9.9) | 9.85 ± 5.22 | 39.10 ± 3.20 | 80.23 ± 24.74 | |||
| Cohabitation status | |||||||
| Alone | 15 (3.7) | 13.27 ± 9.09 | 40.10 ± 3.50 | 86.57 ± 24.86 | 0.798 | ||
| With family | 380 (94.5) | 11.27 ± 9.17 | 0.359 | 38.95 ± 5.01 | 0.176 | 82.27 ± 23.74 | |
| With friends | 7 (1.7) | 15.43 ± 6.55 | 39.34 ± 4.95 | 80.23 ± 24.74 | |||
| Mean ± Sd | r values | r values | r values | ||||
| Age 25.86 ± 9.37 | -0.195 | < 0.000* | -0.237 | < 0.000* | -0.151 | 0.002* | |
Sd: Standard deviation; PTSD: Post-Traumatic Stress Disorder Scale; RRS: Ruminative Reactions Scale; IUS: Intolerance of Uncertainty Scale
*p < .05
According to the employment status of the participants, it was stated that there was a statistically significant difference in the mean scores of PTSD (p < .05), RRS (p < .05), and IUS (p < .05); and the mean scores of PTSD, RRS, and IUS were found as high for participants who did not work (Table 3).
According to the income status of the participants, it was reported that there was statistical significance in the mean scores of PTSD (p < .05) and RRS (p < .05). Furthermore, the mean scores of PTSD and RRS were high for participants whose income was lower than their expenses (Table 3).
There was a weak negative correlation between the age of the participants and the mean scores of PTSD (p < .000, r = -.195), RRS (p < .000, r = -.237), and IUS (p < .002, r = -.151). In the study, it was stated that the mean score decreased since the age increased (Table 3).
Comparison of the mean scores of scales according to pandemic features
In Table 4, the mean scores of PTSD, RRS, and IUS were examined considering the characteristics of the participants during the pandemic. There were some statistically significant differences in the mean scores of PTSD, RRS, and IUS, in terms of the status of participants who had COVID-19, and some problems in social relations, sleeping, and changes in nutrition (p < .05). Moreover, a statistically significant difference was found in the PTSD, RRS and IUS scores of the participants in the study, taking into consideration the loneliness in the pandemic, feeling restricted in their freedom, fear of not seeing their relatives again, and fear of losing their relatives (p < .05).
Table 4.
The Mean Scores of PTSD, RRS, and IUS According to the Characteristics of the Individuals Regarding the Pandemic (n = 402)
| Demographic characteristics | n (%) | PTSD | RRS | IUS | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean ± Sd | p | Mean ± Sd | p | Mean ± Sd | p | |||||
| Passing COVID-19 | ||||||||||
| No | 319 (79.4) | 11.03 ± 9.08 | 0.002* | 46.23 ± 15.68 | < 0.000* | 83.26 ± 24.49 | < 0.000* | |||
| Yes | 83 (20.6) | 12.88 ± 9.42 | 49.55 ± 15.78 | 84.99 ± 23.62 | ||||||
| Some problems in social relations | ||||||||||
| No | 162 (40.3) | 9.99 ± 5.26 | 0.011* | 43.02 ± 15.42 | < 0.000* | 79.12 ± 26.32 | 0.002* | |||
| Yes | 240 (59.7) | 12.37 ± 5.75 | 49.54 ± 15.43 | 86.65 ± 22.38 | ||||||
| Changes in sleeping | ||||||||||
| No | 90 (22.4) | 7.60 ± 5.64 | < 0.000* | 39.21 ± 13.44 | < 0.000* | 71.91 ± 24.24 | < 0.000* | |||
| Yes | 312 (77.6) | 12.51 ± 9.26 | 49.13 ± 15.67 | 86.99 ± 23.28 | ||||||
| Change in nutrition | ||||||||||
| No | 101 (25.1) | 7.86 ± 5.65 | < 0.000* | 40.29 ± 13.34 | < 0.000* | 73.08 ± 24.93 | < 0.000* | |||
| Yes | 301 (74.9) | 12.60 ± 7.79 | 49.14 ± 15.87 | 87.15 ± 23.07 | ||||||
| Feeling alone in the pandemic | ||||||||||
| No | 234 (58.2) | 9.92 ± 5.68 | < 0.000* | 45.10 ± 16.64 | 0.005* | 79.82 ± 24.65 | < 0.000* | |||
| Yes | 168 (41.8) | 13.49 ± 9.05 | 49.44 ± 14.04 | 88.90 ± 22.98 | ||||||
| Feeling restricted in freedom | ||||||||||
| No | 63 (15.7) | 8.19 ± 5.09 | 0.002* | 41.02 ± 13.37 | 0.001* | 71.25 ± 23.72 | < 0.000* | |||
| Yes | 339 (84.3) | 12.01 ± 8.79 | 48.01 ± 15.91 | 85.91 ± 23.74 | ||||||
| Fear of not seeing their relatives again | ||||||||||
| No | 227 (56.5) | 9.53 ± 5.58 | < 0.000* | 43.02 ± 14.48 | < 0.000* | 77.61 ± 24.43 | < 0.000* | |||
| Yes | 175 (43.5) | 13.86 ± 7.23 | 51.96 ± 15.91 | 91.41 ± 21.85 | ||||||
| Fear of losing their relatives | ||||||||||
| No | 73 (18.2) | 9.84 ± 6.26 | 0.004* | 43.60 ± 16.47 | 0.006* | 79.81 ± 24.63 | 0.009* | |||
| Yes | 329 (81.8) | 11.76 ± 8.12 | 47.65 ± 15.50 | 84.46 ± 24.18 | ||||||
Sd: Standard deviation; PTSD: Post-Traumatic Stress Disorder Scale; RRS: Ruminative Reactions Scale; IUS: Intolerance of Uncertainty Scale
*p < .05
Accordingly, participants who had the problems, which had been mentioned above, had higher PTSD, RRS, and IUS scores.
Correlation between the PTSD, RRS, and IUS scores of the study groups
When the relationship between participants’ PTSD, RRS, and IUS mean scores was evaluated, a positive correlation was determined between the mean scores of PTSD and the mean scores of RRS and IUS (p < .05). When the PTSD mean scores increased, the RRS and IUS mean scores increased, too. In addition to this, a statistically positive correlation was determined between the mean score of IUS and the mean score of RRS (p < .05) (Table 5).
Table 5.
Correlation Analysis Results of the Participants (n = 402)
| Scales | PTSD | RRS | IUS | ||||
|---|---|---|---|---|---|---|---|
| R | P | R | P | R | p | ||
| PTSD | 1.00 | - | - | - | - | - | |
| RRS | 0.718 | < 0.000* | 1.00 | - | - | - | |
| IUS | 0.474 | < 0.000* | 0.534 | < 0.000* | 1.00 | - | |
PTSD: Post-Traumatic Stress Disorder Scale; RRS: Ruminative Reactions Scale; IUS: Intolerance of Uncertainty Scale
* p < .05
Hierarchical regression analysis of PTSD mean scores with RRS, IUS
A hierarchical multiple regression analysis was conducted to examine which variables (IUS, RRS scores) predicted trauma symptoms as measured by the PTSD scale. PTSD was entered as a dependent variable in the regression analysis. In Step 1, RRS was entered. This model significantly predicted trauma symptoms contributing 51% of the variance, F = 425 p = .001, R2 = 0.514, Beta = 0.718. When IUS was added to the model as a second (Model 2), controlling for the ruminative reaction variable, it was seen that it made a significant contribution of 1% to the variance explained earlier (p < .01) F = 220.80, p < .001, R2 = 0.523, Beta = 0.659 (Table 6).
Table 6.
Hierarchical Regression Analysis of the Role of Rumination and Uncertainty Properties in the Trauma Procedure (n = 402)
| Model | R | R 2 | ΔR 2 | β | Beta | F | p |
|---|---|---|---|---|---|---|---|
|
Model 1 RSS |
0.718 | 0.514 | 0.515 | 0.418 | 0.718 | 425.497 | 0.000 |
|
Model 2 RSS |
0.725 | 0.523 | 0.010 | 0.384 | 0.659 | 220.800 | 0.004 |
| IUS | 0.095 | 0.115 |
RRS: Ruminative Reactions Scale; IUS: Intolerance of Uncertainty Scale
* p < .05
Discussion
This study was conducted to evaluate the traumatic effect of the pandemic in terms of ruminative thoughts and intolerance of uncertainty. The COVID-19 pandemic, which has affected the whole world and Turkey, has caused some significant changes in many social and individual areas. Together with its negative impact on physical health, the ongoing uncertainty and the changes that were made to protect against the disease affected the mental health of individuals in Turkey as well as around the world. Because the COVID-19 process was a global epidemic, it had rapid transmission, and many people lost their lives associated with COVID-19, and contagion was rapid; it could have traumatic effects (Chung & Yeung, 2020; Horesh & Brown, 2020). Implementations such as quarantine and social distancing may cause people to feel alone, left out, and abandoned (Hoffart et al., 2020), and to develop post-traumatic stress symptoms (Ikizer et al., 2021; Rossi et al., 2021). The conditions of the COVID-19 pandemic have led to a deep sense of uncertainty regarding people’s safety, view of the world, and financial situation, which may be difficult to bear for some individuals in Turkey as well as in the world (Ikizer et al., 2021; Satici et al., 2020). Given the uncertainty, it was thought that it might be important to reveal the presence of negative ruminative thoughts about changes as well as their tolerance for uncertainty. This was the first study to assess the importance of rumination and intolerance of uncertainty in the relationship with trauma.
In our study, a relationship was found between PTSD, ruminative thinking, and intolerance of uncertainty. It was clear that the traumatic effect of the pandemic on individuals was associated with more ruminative thoughts and less intolerance of uncertainty, and the traumatic effect increased when ruminative thoughts and intolerance of uncertainty increased. Studies indicated that ruminative thinking and intolerance of uncertainty could be accepted as predictive variables for PTSD (Bravo et al., 2019; Brown et al., 2018; Garcia et al., 2017; Mairean, 2019; Oglesby et al., 2016; Satici et al., 2020; Wozniak et al., 2020). In a study conducted in Turkey during the COVID-19 pandemic, it was stated that both ruminative thinking and intolerance of uncertainty increased the PTSD score (Celik et al., 2021). Our research findings support the literature. Individuals who do not tolerate uncertainty may be focused on negative feelings about being affected by threats and conditions related to the pandemic, as they include various uncertainties. Based on the continuation of the pandemic process, it can be said that ruminative thoughts increase perceived stress and cause PTSD.
It was observed that the PTSD mean scores of the participants in this study were lower than other studies’ scores. In a study that had been conducted abroad during the pandemic period, PTSD scores were found to be 19.87 ± 15.88 (Forte et al., 2020), while they were reported as 14.84 ± 12.34 in Turkey (Yılmaz-Karaman & Yastıbas, 2021). Another study that was conducted in China stated that the prevalence of PTSD was quite high (Liang et al., 2020). The reason why this research finding is different from other research findings may be the collection of research data after the pandemic, the development of the vaccine, and the use of different measurement tools and research groups.
In our study, it was determined that participants had high intolerance of uncertainty scores. Some research findings supported the results of this study (Aydin & Ozcan, 2021; Gica et al., 2020; Rettie & Daniels, 2021; Ogueji et al., 2021, 2022). During the pandemic period, it is important to tolerate or accept uncertainty. People who are unable or unwilling to accept uncertainty are more likely to experience mental distress. Those with a high intolerance to uncertainty tend to be anxious because they feel they have limited control over a threatening situation such as a pandemic (Taylor, 2019; Ogueji et al., 2021, 2022).
In this study, it was determined that the ruminative response scores of the participants were higher than the moderate level. It was clear that the results of some literature studies were like the findings of this study (Aydin & Ozcan, 2021; Duttweiler et al., 2021). Together with modernization, people spend their lives thinking. People, who do not cope with stressful life events, experience feelings of inadequacy. These feelings cause the individual to create negative ruminative thinking (Nolen-Hoeksema & Jackson, 2001). When the study is applied, it can be said that it is an expected result that ruminative thinking is high in individuals during the pandemic period, which is one of the stressful life events, even though it is in the later period of the pandemic.
As the average age of the participants increased, the levels of ruminative thinking and PTSD were lower. In a study, it was reported that younger participants used negative cognitive emotion regulation strategies (rumination) more than older participants (Ricarte et al., 2016). Rumination, which is defined as an uncontrollable and repetitive focus on negative thoughts, was stated as an important factor that supported depression. Some studies had also shown that young adults were more stressed and depressed than other age groups during the pandemic process (Jha et al., 2021). That is why rumination contributed to the development of depression by re-experiencing traumatic memories. Young adults were clinically at risk for trauma during the pandemic (Tong et al., 2021). This situation may have resulted from the development of individuals’ perspectives on events during their developmental periods, from a realistic point of view rather than repetitive thoughts. Moreover, it is thought that the trauma effect of some negative events may be greater in young individuals because young individuals have high expectations from life and have fewer life experiences.
In this study, it was observed that female and single participants had higher levels of PTSD, ruminative thinking, and intolerance to uncertainty. According to another study, it was determined that female participants had higher ruminative thinking and trauma levels (Brown et al., 2018). In other studies, women were found to have high levels of ruminative thinking (Allbaugh et al., 2016) and post-traumatic stress (Hetzel-Riggin & Roby, 2013). As seen in the literature, it was determined that women were more prone to rumination than men (Allbaugh et al., 2016; Brown et al., 2018). Rumination is an important emotion regulation strategy that perceived negative impact. The increase in estradiol, which is one of the estrogen hormones, is associated with more rumination, and it has been supported that gender differences in peripheral estradiol cause women to have more ruminative thoughts than men (Graham et al., 2018). This finding suggests that it explains why there is a higher incidence of traumatic and ruminative thoughts, intolerance of uncertainty, anxiety, and depression among women.
On the other hand, it was claimed that people who evaluated their income as low had high PTSD and ruminative thinking scores. Low-income adults are more likely to experience trauma, or even more than one, which increases the risk of mental health problems. According to a study, it was clear that those people had negative life events that caused some mental problems, especially in psychosocial functions (Fusco et al., 2021). A study by Ogueji et al. (2022) supports our research findings. In their studies, it was emphasized that low-resistance coping mechanisms were used more in the low-income group during the COVID-19 pandemic, and this would negatively affect them psychologically. It is estimated that traumatic events can be more common in people who have low income, and traumatic events cause increased ruminative thinking.
In line with the COVID-19 pandemic, some radical changes, such as changes in daily activities and priorities, had occurred (Wallace et al., 2020). These changes cause people to follow social platforms constantly, they are exposed to stimuli on this subject, and that causes them to have ruminative thoughts, and in addition to this, intolerance of uncertainty, PTSD, depression, and sleep disorders increase (Gao et al., 2020). Considering the literature, it was reported that PTSD, ruminative reaction, and intolerance of uncertainty had been affected by some issues such as fear of losing a beloved one, not being able to see friends, having COVID-19 disease during the pandemic process, washing hands more, having problems in social relations, sleep, and nutrition changes, feeling alone in the pandemic, and feeling restricted in freedom.
Limitations
The study had several limitations. One of them was a cross-sectional study design which suggests that causation cannot be made. The other is the use of a random sampling technique; selection involving only voluntary participants may have caused bias. Moreover, there could be some access problems with the study because it was conducted electronically. Finally, the results were valid only for the study participants and could not be generalized.
Conclusion
It was concluded that the PTSD levels of participants were low and that the level of ruminative reactions and intolerance of uncertainty was higher. Ruminative thoughts and intolerance of uncertainty were found to influence PTSD, with ruminative responses being the most effective variable over PTSD. Based on the socio-demographic and pandemic-related characteristics of the participants, it was determined that PTSD affected both ruminative reactions and intolerance of uncertainty levels.
This is the first study to evaluate the effects of intolerance of uncertainty and ruminative thoughts on the development of mental trauma in individuals exposed to trauma due to the pandemic. With this study, it was concluded that mental health professionals (such as clinical psychologists, psychiatric nurses, and social workers) working with individuals exposed to trauma should evaluate individuals in terms of their intolerance of uncertainty and ruminative thoughts. Considering the possible effects of the pandemic, mental health professionals can apply interventions such as coping with stress and problem-solving skills to reduce intolerance to uncertainty and improve ruminative thought content with appropriate and effective methods. Moreover, it is thought that it will be the basis for similar studies to be conducted with different sample groups.
Acknowledgements
The authors thank all individuals who participated in the research.
Author contribution
Gülay Taşdemir Yiğitoğlu: Study conception and design, data analysis and interpretation, drafting of the article, critical revision of the article. Gülseren Keskin: Study conception and design, drafting of the article, critical revision of the article. Nesrin Çunkuş Köktaş: Study conception and design, data collection, data analysis and interpretation, drafting of the article, critical revision of the article.
Funding
The authors received no financial support for this article’s research, authorship, and/or publication.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Declarations
Conflict of interest
The authors declare that there is no conflict of interest.
Financial disclosure
There are no individuals or organizations that support this study financially.
Ethical considerations
The study was carried out by the principles of the Declaration of Helsinki. Ethical approval was obtained from the University’s Non-Interventional Research Ethics Committee. Permission was obtained to use the scales in the study. Before data collection, informed consent was obtained from all participants. To ensure understanding, the following statements were added before submission: “Submitting the information form indicated consent to participate” and “Proceed to the survey.”
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Gülay Taşdemir Yiğitoğlu, Email: gyigitoglu@pau.edu.tr.
Gülseren Keskin, Email: gulseren.keskin@ege.edu.tr.
Nesrin Çunkuş Köktaş, Email: ncunkus@pau.edu.tr.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
