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Expressive suppression moderates the relationship between PTSD from COVID-19 and somatization and validation of the Arabic version of Patient Health Questionnaire-15 (PHQ-15)

  • Antonio Nehme ,

    Roles Data curation, Project administration, Writing – original draft, Writing – review & editing

    ‡ AN and SM are first coauthors on this work. SH, SO and GH are last coauthors on this work.

    Affiliation School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon

  • Sara Moussa ,

    Roles Writing – original draft, Writing – review & editing

    ‡ AN and SM are first coauthors on this work. SH, SO and GH are last coauthors on this work.

    Affiliation Faculty of Medicine, University of Balamand, Koura, Lebanon

  • Feten Fekih-Romdhane,

    Roles Writing – original draft, Writing – review & editing

    Affiliations The Tunisian Center of Early Intervention in Psychosis, Department of Psychiatry “Ibn Omrane”, Razi Hospital, Manouba, Tunisia, Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia

  • Ecem Yakın,

    Roles Formal analysis, Writing – review & editing

    Affiliation Centre d’Études et de Recherches en Psychopathologie et Psychologie de la Santé, Université de Toulouse-Jean Jaurès, UT2J, Toulouse, France

  • Souheil Hallit ,

    Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing – review & editing

    souheilhallit@hotmail.com

    ‡ AN and SM are first coauthors on this work. SH, SO and GH are last coauthors on this work.

    Affiliations School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon, Applied Science Research Center, Applied Science Private University, Amman, Jordan, Research Department, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon

  • Sahar Obeid ,

    Roles Conceptualization, Methodology, Project administration, Supervision, Validation, Writing – review & editing

    ‡ AN and SM are first coauthors on this work. SH, SO and GH are last coauthors on this work.

    Affiliation Social and Education Sciences Department, School of Arts and Sciences, Lebanese American University, Jbeil, Lebanon

  • Georges Haddad

    Roles Conceptualization, Methodology, Project administration, Supervision, Validation, Writing – review & editing

    ‡ AN and SM are first coauthors on this work. SH, SO and GH are last coauthors on this work.

    Affiliations School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon, Research Department, Psychiatric Hospital of the Cross, Jal Eddib, Lebanon

Abstract

Background

Lebanese adults have been crippled for years by several crises, including the lately COVID-19 pandemic. These massive civilian traumas have increased the risk of post-traumatic stress disorder (PTSD) in this population. Extensive literature pointed to the association between PTSD and somatization; however, the nature of this relationship remains unknown. We sought to contribute further to work in this area by testing the moderating role of emotion regulation in the relationship between COVID-19- related PTSD and somatization. As a secondary objective, we aimed to examine the psychometric properties of an Arabic translation of the somatization measure Patient Health Questionnaire-15 (PHQ-15) in terms of factorial validity and internal consistency before its use in the present study.

Methods

This cross-sectional study was conducted between September and October 2021. A total of 403 Lebanese adults residing in Lebanon were recruited. Eligible participants received an online link to the survey. The Patient Health Questionnaire-15 was used to assess somatization, PTSD Checklist–Civilian Version for PTSD and Emotion Regulation Questionnaire for emotion regulation.

Results

The results of the exploratory factor analysis (EFA) revealed a three-factor solution explaining 48.79% of the common variance. Confirmatory Factor Analysis results of the three-factor model obtained in the EFA indicated a good fit with a significant CFI of 0.98, TLI 0.98 and a GFI of .97, a RMSEA of .04 [90% CI .01, .06]. Higher PTSD symptoms were associated with somatization. In addition, we found that one specific ER component, i.e. expressive suppression, significantly moderated the relationship between PTSD from the COVID pandemic and somatization. In particular, the interaction PTSD from the COVID-19 pandemic by expressive suppression was significantly associated with somatization; at low, medium and high levels of expressive suppression, higher PTSD from the COVID-19 pandemic was significantly associated with higher somatization scores. As for our secondary objective, findings revealed that the Arabic version of the PHQ-15 exhibited good psychometric properties. In particular, the scale yielded a three-factor structure, and good internal consistency (Cronbach’s alpha = 0.87).

Conclusion

The moderating role of expressive suppression on the link between PTSD and somatization presents a novel finding in the field of trauma. Additionally, making a psychometrically sound Arabic version of the PHQ-15 available is a valuable addition to the literature.

Background

The coronavirus disease, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, is thought to be responsible of one of the deadliest pandemics in the contemporary history. As of March 15, 2021, Lebanon counted up to 418,448 confirmed cases and 5380 deaths [1]. Worldwide, by June 8 2022, there have been 530,896,347 confirmed cases of COVID-19, including 6,301,020 deaths reported to the World Health Organization (WHO) [2]. This fast spreading pandemic has obliged governments to adopt unfamiliar precautionary measures; in Lebanon, nationwide lockdowns have been applied, social gatherings were banned, social distancing was encouraged, people were obliged to wear facemasks in public, and at the end a vaccine become available [3]. In this context, a Lebanese study [4] conducted between November and December 2020 revealed that less than a quarter of Lebanese adults expressed willingness to accept the COVID-19 vaccine when it becomes available, a rate far below those of the UK (64%) [5] and the US (57.6%) [6]. All these measures required millions of peoples to suddenly change their routine and habits, what lead to severe psychological consequences in both infected and non-infected individuals [7]. Particularly, and according to prior studies on previous coronavirus outbreaks, COVID-19 was expected to be associated with a high likelihood of developing post-traumatic stress disorder (PTSD) symptoms [8]. PTSD is a condition that can develop in individuals who experienced or witnessed a scary, shocking, terrifying, or dangerous past event [9]. Experiences from previous epidemics have shown that 42% of MERS survivors and 26% of SARS survivors presented PTSD symptoms following the outbreak [10, 11]. Similarly, extensive body of evidence from systematic reviews and metaanalyses reported high prevalence estimates of COVID-19-related PTSD in various populations worldwide, including the adult general population [12],children and adolescents [13] university students [14, 15], teachers [16], healthcare workers [17, 18], survivors of COVID-19 infection [19], and in high risk groups (e.g., older adults, pregnant women, obese individuals, smokers, individuals with obesity or other comorbidities) [20]. Arab people are of no exception (e.g., [2124], even though evidence on the topic from this population remains relatively scant.

The situation in Lebanon may have even been among the worst, as the country was already weakened by the political and economic instability it has been going through over the last years (e.g., the 1975–1990 civil war, the 1985–2000 Israeli occupation of Southern Lebanon, the 2005–2021 repetitive assassinations and bombings). The COVID-19 sanitary crisis has thus exacerbated the social and financial unrest in the country. Households experienced more salary cuts, job losses, unemployment, and mortgage payment difficulties [2527]. The already fragile healthcare system was rapidly overwhelmed and exhausted because of the scarce resources, including medications and medical supply shortages [2730]. Exposure to all the above-mentioned chronic, repeated and highly traumatic events have put millions of Lebanese at an increased risk for developing complex PTSD symptoms [31]. In this regard, some empirical evidence pointed to PTSD prevalence rates of 31.5% from COVID-19, among Lebanese university students during May-August 2021 [32]. PTSD itself has been shown to increase the likelihood of poor general health and reporting of severe somatic symptoms [33, 34]. In the next session, we will take an in-depth look at the relationship between PTSD and somatization.

The relationship PTSD-somatization

Somatization is when an individual exhibits multisystem physical symptoms with no physical cause identified [35, 36]. These symptoms are highly debilitating, as they often pose a vicious cycle of pain and distress [35, 36], and are associated with excessive thoughts, feelings and conducts that can lead to tremendous disability and wretchedness [37]. One of the widely used measures of the somatization construct is the Patient Health Questionnaire-15 (PHQ-15) [38], which is comprised of 15 items involving different somatic symptoms helping to detect individuals at risk for somatoform disorders. Somatization is suggested to be an adaptive response to psychological distress [39]. Several previous studies pointed to a close link between PTSD and excess of somatization [40], and to newly developed somatic symptoms in people with PTSD [36], Disasters, such as the COVID-19 pandemic, carry a risk of both PTSD and somatization to directly and indirectly affected people [41, 42]. Specifically, PTSD is found to be associated with a range of somatic problems (e.g., unexplained tinnitus, blurry vision, dizziness), and multiple medical conditions (e.g., respiratory, cardiovascular, and gastrointestinal disorders) [33]. More broadly, a meta-analytic review found that individuals with high PTSD symptoms displayed significantly more general medical conditions, greater general health symptoms, higher frequency and severity of pain, cardio-respiratory symptoms, and gastrointestinal complaints [43]. PTSD and somatization are severe mental health conditions that adversely impact quality of life [43]. Therefore, if PTSD is accompanied by post-traumatic somatization, then it is highly relevant to evaluate such symptomatology for this population and plan treatment accordingly. Hence the major importance of investigating the relationship between PTSD and somatization, and exploring potential factors influencing this relationship. As one of the factors, emotion regulation (ER) is assumed to relate to post-traumatic responses. In the present study, we propose to examine the role of ER as moderator in the relationship PTSD-somatization.

The moderating effect of ER on the relationship between PTSD and somatization

According to John and Gross [44], ER refers to “the process by which individuals influence what emotions they have, when they have them, and how they experience and express those emotions”. Several studies have observed the pivotal role of ER difficulties in PTSD [45, 46]. Hence, ER implicates managing different systems, including physiological arousal, facial expressions, actions, incentive, and cognitive evaluations to modify or sustain an emotional state [47]. It can be broken down into different components essentially, namely self-awareness, cognitive reappraisal, adaptability, and emotion suppression. There is sufficient evidence that ER is related to PTSD symptoms [48]. Research suggested that individuals experiencing difficulties in regulating their emotions seem to be motivated to rely on avoidant coping strategies to regulate their PTSD symptoms what will ultimately lead to exacerbated conditions as patients never learns corrective information [48, 49]. Additionally, previous studies showed that difficulties in ER are not only associated with the severity of PTSD symptoms in a civilian sample [50] they also seem to play an important role in the chronicization of PTSD in civilians [51]. Other studies have shown positive effects for acceptance and cognitive reappraisal in a sample of veterans [52] and an effective treatment of PTSD can also reduce ER difficulties [53]. In addition to its association with somatoform disorders, ER is thought to be closely associated with somatic symptoms. A systematic review that assessed the role of ER on chronic pain, included 15 studies and concluded that maladaptive ER may be an important risk factor in the development and maintenance of chronic pain [54]. Another study suggested a potential association between emotion dysregulation and Psychogenic non-epileptic seizures (PNESs) [55]. Expressive suppression of emotions in particular was highly associated with somatization [5658] and patients who suppress their emotions tend to suffer more from the impact of somatic symptoms [59]. Similarly, a study showed that patients with somatic symptom disorders had a lower capacity to nonverbally express their feelings than controls [60]. Based on its association with somatization on one hand and PTSD on the other, ER could serve as a moderator on the link between these two conditions.

Rationale of the present study

The main motive of the present study was to advance our understanding of the yet unknown and under-researched association between PTSD and somatization, through an examination of possible moderating mechanisms. We believe that exploring, for the first time, the moderating role of ER in the path from PTSD to somatization is crucial for preventing and alleviating PTSD and somatization among individuals exposed to trauma. If ER is established as a moderator, it can be useful for developing and implementing prevention and intervention strategies considering the role of ER in attenuating the connection between PTSD and somatization. We also sought to contribute to the literature by investigating a highly vulnerable, but largely under-studied, population from Lebanon. There is some evidence that the prevalence of somatic symptoms related to PTSD and the way how trauma-caused symptoms are interpreted and manifest showed wide cross-cultural variability [61]. Therefore, as a country that is constantly tormented by a series of traumas and crises, Lebanon may provide fertile ground for development of PTSD and somatic disorders [40, 62]. Additionally, it is important to test our hypotheses in Lebanon where mental health is not a priority and facing major difficulties [25], and where mental illnesses are underestimated and stigmatized [63]. Therefore, the objectives of this study were to examine the association between PTSD symptomatology, particularly from the COVID-19 pandemic, and somatization, in addition to the moderating effect of emotion regulation in these associations. As a secondary objective, we aimed to examine the psychometric properties of an Arabic translation of the PHQ-15 in terms of factorial validity and internal consistency before its use in the present study.

Methods

Ethics approval and consent to participate

The study was approved by the Ethics Committee at the Psychiatric Hospital of the Cross (HPC-040-2021). All participants gave their informed written consent when submitting the online form. International guidelines were followed for the study.

Study design

This cross-sectional study was conducted between September and October 2021. A total of 403 participants were enrolled from all Lebanese Mohafazat. Individuals above 18 years old and residents of Lebanon were allowed to participate. The sample was collected through a snowball technique (convenient sampling) via social applications (WhatsApp, Instagram), where the research team initiated the contact with people, who were consequently asked to forward the link to other friends and family members. Inclusion criteria for participation included being of a resident and citizen of Lebanon of adult age (aged ≥ 18 years). Excluded were those who refused to fill out the questionnaire. No exclusion criteria were applied. No monetary compensation was given for participating in the study.

Sample size calculation

Following the recommendations of Comrey and Lee [64], a minimum sample of 10 participants per scale’s item are needed to conduct an exploratory factor analysis. Since the PHQ-15 scale is composed of 15 items, a minimal sample of 150 participants was needed for the exploratory factor analysis (EFA). For the confirmatory factor analysis (CFA), the minimum sample size ranges from 3 to 20 times the number of the scale’s variables [65], therefore, we assumed a minimum sample of 45–300 participants needed to have enough statistical power.

Using the multivariate regression option (deviation from zero), considering an effect size f2 = 2%, a type I error of 5%, a type II error of 20%, and 10 variables to be included in the final model, the G-power software [66] estimated a minimal sample of 395.

Questionnaire

The Arabic language native to Lebanon was used in our anonymous questionnaire. The initial part assessed the sociodemographic characteristics (age, sex, marital status, educational level, and household crowding index). The household crowding index, reflecting the socioeconomic status of the family, was calculated by dividing the number of persons in the house by the number of rooms in the house excluding the bathrooms and kitchen [67]. In addition, participants were asked about their history of medical illnesses. The second piece of the questionnaire consists of different scales to assess each variable:

Patient Health Questionnaire-15 (PHQ-15).

PHQ-15 is a self-administered questionnaire composed of 15 items, each scored using a Likert scale with 0 “not bothered at all”, 1 “bothered a little”, 2 “bothered a lot” [68], used to assess if participants had experienced physical symptoms such as chest pain, gastrointestinal disturbance and trouble sleeping during the last month. Higher scores are associated with more severe somatization. Cutoff points of 5, 10 and 15 represent mild, moderate, and severe symptom levels [69] (In this study, Cronbach’s alpha = 0.87).

PTSD Checklist–Civilian Version (PCL-C).

The PTSD Checklist (PCL-C) is another self-report rating scale, comprises of 17 items for evaluating post-traumatic stress disorders (PTSD). Examinees show the amount they have been troubled by every manifestation in the previous month utilizing a 5-point scale [70]. (In this study, Cronbach’s alpha = 0.96 for PTSD from coronavirus).

Emotion Regulation Questionnaire (ERQ). This ten-item questionnaire [71], validated in Lebanon [72], was used to assess if individuals regulate their emotions using cognitive reappraisal or expressive suppression. This scale is scored based on a 7 points Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree). Higher scores indicate a larger dependence on the concerned strategy (in this study, Cronbach’s alpha = 0.89 for cognitive reappraisal and 0.79 for expressive suppression).

Translation procedure

The translation procedure was done following international norms [73]. For the PHQ-15 and PCL-C, two survey independent translators were involved, the first made a translation from English into Arabic, and the second made the back-translation. The translators reviewed the two versions to identify irregularities and contrasts were settled with comprehension. A pilot study was done on 30 participants to make sure all questions are clear.

Statistical analysis

The SPSS software v25 was used for data analysis. No missing data was found since questions were required. Reliability was checked using Cronbach’s alpha for the total scales and subscales. To check the psychometric properties of the PHQ-15, we employed an EFA-to-CFA [74] strategy using the RStudio (Version 1.4.1103 for Macintosh) the Lavaan and semTools packages. The original sample was randomly divided into two subsamples, one used for the EFA and the other for the CFA. The Kaiser-Meyer- Olkin (KMO) measure of sampling adequacy, and Bartlett’s test of sphericity was used to ensure the adequacy of the data [75]. In EFA, the number of factors underlying PHQ-15 items was determined on the basis of the screen test [76]. Based on the factors from the EFA, we conducted a Confirmatory Factor Analysis (CFA) using the data from the second subsample. Parameter estimates were obtained using the following fit indices: Comparative Fit Index (CFI), the Tucker-Lewis Index (TLI), Goodness of Fit Index (GFI), Standardized Root Mean Square Residual (SRMR) and Root Mean Square Error of Approximation (RMSEA). Values ≥0.90 for the GFI, CFI and TLI indicate a good model fit, values at or below 0.08 for the RMSEA, and 0.06 for the SRMR indicate good fit of the model to the data [77, 78].

The somatization score followed a normal distribution as shown by a skewness and kurtosis values between -2 and +2. The Student t-test was used to compare two means (e.g., somatization scores between gender groups), whereas the Pearson test correlated two continuous variables (e.g., somatization scores and age). A linear regression was done, taking the somatization score as the dependent variable. The Process Macro v3.4 model 1 (add-on for SPSS) [79] was used to conduct moderation models to examine the potential moderating effect of cognitive reappraisal/expressive suppression (moderators) on the relationship between PTSD from COVID-19 (independent variables) and somatization (dependent variable). Independent variables entered in the linear and moderation regressions were those that showed an effect size/correlation ≥ │0.24│ to achieve more parsimonious models [80]. The absence of multicollinearity was determined via the calculation of the Variance Inflator Factor (VIF < 5). R2 value was calculated to determine how much the independent variables entered in the model explained somatization. P < 0.05 was deemed statistically significant.

Results

Sociodemographic characteristics of the participants

A total of 403 enrolled in this study, with a mean age of 32.76 ± 13.24 years and 65.5% females. Other details are found in Table 1. Moreover, 133 (33.0%) and 113 (28.0%) had moderately severe and severe depression respectively.

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Table 1. Sociodemographic characteristics of the participants (N = 403).

https://doi.org/10.1371/journal.pone.0293081.t001

Exploratory and confirmatory factor analyses

Bartlett’s test of sphericity, χ2(105) = 1290.821, p < .0001, and KMO (.89) indicated that the PHQ-15 items were adequate for EFA. The results revealed a three-factor solution explaining 48.79% of the common variance (all item factor loadings ≥. 4) (Table 2). CFA of the three-factor model obtained in the EFA indicated a good fit with a significant CFI of 0.98, TLI 0.98 and a GFI of .97, a RMSEA of .04 [90% CI .01, .06].

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Table 2. Items of the PHQ-15 scale in English and factor loadings derived from the Exploratory Factor Analyses (EFA) in the first subsample and standardized estimates of factor loadings from the Confirmatory Factor Analysis (CFA) in the second subsample.

https://doi.org/10.1371/journal.pone.0293081.t002

Bivariate analysis

The bivariate analysis results are summarized in Tables 3 and 4. Higher number of comorbidities, and PTSD for the COVID pandemic were significantly associated with more somatization. Females scored significantly higher than males in terms of PTSD following the COVID-19 pandemic (38.93 ± 16.73 vs 32.71 ± 13.48; t(401) = -3.78; p < .001), anxiety (27.17 ± 8.38 vs 24.74 ± 8.07; t(401) = -2.80; p = .005), depression (19.42 ± 6.45 vs 17.18 ± 6.66; t(401) = -3.27; p = .001). Furthermore, they scored lower in terms of expressive suppression (12.92 ± 5.95 vs 14.44 ± 6.03; t(401) = 2.42; p = .016) compared to males. Finally, no significant difference was found between males and females in terms of cognitive reappraisal (22.99 ± 9.28 vs 22.53 ± 9.19; t(401) = .47; p = .638).

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Table 4. Bivariate analysis of categorical variables associated with the somatization score.

https://doi.org/10.1371/journal.pone.0293081.t004

Multivariable analysis

In the multivariable model taking sociodemographic variables and PTSD scores as independent variables, female gender (Beta = 3.36), a higher number of comorbidities (Beta = 0.84), higher PTSD from the COVID pandemic (Beta = 0.06) were significantly associated with more somatization (Table 5).

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Table 5. Multivariable analysis: Linear regression (using the ENTER model) taking the somatization score as the dependent variable.

https://doi.org/10.1371/journal.pone.0293081.t005

Moderation analysis

The results of the moderation analysis (Table 6) were adjusted over the following confounding variables: sex, number of comorbidities, education and PTSD from COVID-19 pandemic. The interaction PTSD from the COVID pandemic by expressive suppression (Beta = .005; p = 0.031; 95% CI .001-.009) was significantly associated with somatization (Table 6, Model 1a); those variables explained 31.4% of the variance, F(7, 395) = 25.88, p < .001. At moderate (Beta = .05; p = .012) and high (Beta = .08; p = .001) levels of expressive suppression, higher PTSD from the COVID pandemic was significantly associated with higher somatization (Table 7). This effect was not seen at low levels of expressive suppression (Table 7).

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Table 7. Conditional effects of the focal predictor (PTSD from COVID-19 pandemic) at values of the moderator (expressive suppression).

https://doi.org/10.1371/journal.pone.0293081.t007

Discussion

As expected, this study demonstrated that higher PTSD symptoms were associated with somatization. In addition, we found that one specific ER component, i.e. expressive suppression, significantly moderated the relationship between PTSD from the COVID pandemic and somatization. As for our secondary objective, findings revealed that the Arabic version of the PHQ-15 exhibited good psychometric properties. In particular, the scale yielded a three-factor structure, and good internal consistency (Cronbach’s alpha = 0.87). These findings corroborate the originally proposed three-factor solution of the PHQ–15 items [81], and provide additional support to the good reliability and validity of the scale including in Arab contexts. The Arabic PHQ-15 seems therefore to be suitable for use to assess somatic symptoms severity and screen for somatoform disorders in Arabic-speaking people.

Higher PTSD was significantly associated with more somatization. These results are confirmatory to most previous findings [35, 40, 8287]. Somatic symptoms can coexist with PTSD and have a significant impact on the course of PTSD [40]. According to a review study of 33 studies, patients with medically unexplained physical symptoms generally report more traumatic events [82]. This was profoundly studied up to a point where PTSD became the best predictor of somatization after control for demographic variables, and other mood and anxiety disorders [35]. A study compared somatization disorder patients with PTSD to those without the syndrome. It found out that somatization disorder subjects with PTSD had more psychological distress, more interpersonal problems, and worse psychosocial functioning [83]. When evaluating specific populations of PTSD patients, such as sexually abused children, findings suggest that their PTSD symptoms were associated with somatization [84]. On another hand, torture patients who have been severely abused often show chronic symptoms of pain and dysfunction in the parts of their body where they were tortured, without any objective signs of lesion [85]. Researchers linked these somatic symptoms with feelings of hate, anger, and sadness, and these symptoms tend to become chronic [86]. Finally, several studies have been conducted on this intriguing association between somatization and PTSD, some also suggested that somatization statistically also mediates the association between peritraumatic distress and quality of life [87]. In Lebanon, millions of Lebanese are at a high-risk PTSD and a complex known as collective trauma. This risk of PTSD is increasing in the Lebanese population because of the ongoing social and economic crises, as well as the COVID-19 pandemic [62]. In the Lebanese culture, expressing PTSD symptoms through somatic complaints (e.g. bodily pain, headaches) is considered socially acceptable, since it is uncommon to express psychological distress for fear of stigmatization [88]. This explains the concurrent high prevalence of both, PTSD and somatization in this harsh alongside the severe economic crisis, growing sociopolitical unrest, and a surge of COVID-19 infections. This highlights the importance of early assessment of mental health requirements and trauma-directed psychological interventions in a country such as Lebanon [89].

Emotions are an integrated part of somatization. Understanding how emotions are experienced and how they end up being somatized is crucial in diagnosing and managing somatization. In our moderation analysis, the interaction of PTSD symptomatology from the COVID-19 pandemic by expressive suppression was significantly associated with somatization at high levels of expressive suppression. For example, emotions such as rage, are experienced as an internal energy or heat that rises from the lower abdomen to the chest, neck, and finally to the hands [90]. Diverse research has found that patients with hypertension, migraine, irritable bowel syndrome and other conditions internalize anger and thus increase their somatic problems, which has been shown to be attributable to their post-traumatic state [91]. It has also been shown that suppression of emotions, including anger, is a common finding in somatizing patients [92]. In general, patients with somatization showed higher scores on measures of regulatory strategies [93]. However, these strategies were often maladaptive as they found difficulty in expressing their feelings. Vice-versa, this suppression of negative emotions, for example, has previously also been associated with somatoform disorders [94]. Studies have suggested that ER in the form of prolonged emotional numbing or suppression reactions to trauma might also lead to somatization, as emotional disengagement can lead to an increased awareness of and focus on internal sensory perception [95]. These individuals who have trouble regulating affect might eventually try to restrain or ignore emotions, leading to the inability to describe emotions and a subsequent focus on internal sensations that could ultimately result in greater physical health complaints [96]. In the case of PTSD and the COVID-19 pandemic, it is a unique combination of ER difficulties that might predict somatization.

Clinical implications

Our study adds to the narrow body of research revolving around the relationship between PTSD from COVID-19, and somatization in Lebanese adult residents. Findings showed the importance of emotion regulation in moderating the association between our variables. Our main finding was that relying on maladaptive emotion regulation strategies, and more particularly the tendency to use greater expressive suppression, may strengthen the likelihood of having high somatization in individuals who have high COVID-19-related PTSD symptoms. Overall, our study sheds light on the serious mental health problems endured by Lebanese residents after the COVID-19, and draws attention to the crucial need for the implementation of the appropriate preventive and coping strategies, particularly the right emotion regulation techniques. Furthermore, our results might constitute a starting point to researchers to evaluate in-depth the association between PTSD-somatization and the moderating role of ER in this relationship, whether in Lebanon or in another country. We also hope to encourage other researchers to explore other sources of PTSD, other than COVID-19, and explore other possible dependent or independent variables that could possibly be linked.

Limitations

One of the limitations in the cross-sectional study design that was adopted in this study is the inability to prove causality. Moreover, the snowball sampling technique was used for the data collection and this method is associated with a selection bias. The elevated heterogeneity of the sample (high percentage of single participants and with a university degree) does not allow the generalizability of the results. The PCL-C scale is not validated in Lebanon. Besides, despite being relatively diversified, our relatively small sample might not be representative of the whole Lebanese population. Other traumas (e.g., participation in a car accident, injury, somatic illness, or death of close relatives, assault, rape, etc.) related to somatization, were not considered in this study, prompting a confounding bias. The study did not include any exclusion criteria and some participants with preexisting mental disorders could bias the results. The COVID-19 pandemic could not be a trauma for many people if they did not experience an infection or any difficulties during the pandemic. On the other hand, pre-pandemic PTSD was not controlled here, so it is unclear what traumas proceedings the PTSD symptoms in this study.

Conclusion

To conclude, significant cross-sectional associations were found between PTSD and somatization in our sample of adult Lebanese residents. The moderating role of expressive suppression on the link between PTSD and somatization presents novel findings in the context of existing literature. In light of the increasing PTSD risk in the Lebanese population as a result of ongoing social and economic crises and the COVID-19 pandemic, further culturally competent research is needed to provide rigorous evidence on the prevalence, course, and severity of PTSD in Lebanon. Altogether, our findings highlight the crucial need for clinical interventions to detect, not only PTSD, but also any associated somatic symptoms, and intervene to alleviate these symptoms. Finally, in light of its apparently moderating effects, ER strategies could be effective targets of prevention and intervention in traumatized populations. Finally, longitudinal, and prospective studies are still needed to understand the interactions between PTSD, ER and post-traumatic somatization.

Acknowledgments

The authors would like to thank all participants.

References

  1. 1. COVID—coronavirus statistics—worldometer. https://www.worldometers.info/coronavirus/?fbclid=IwAR2UgycDn8i64zB71xUGm5svanZxQEI_U6IEEzgiNRtMnVLtBQtyKqPW_e8. Accessed Jun 27, 2023.
  2. 2. WHO coronavirus (COVID-19) dashboard. https://covid19.who.int. Accessed Jan 15, 2022.
  3. 3. Khoury P, Azar E, Hitti E. COVID-19 response in lebanon: Current experience and challenges in a low-resource setting. JAMA. 2020;324(6):548–549. Accessed 3/29/2022. pmid:32722763
  4. 4. Attitudes of lebanese adults regarding COVID-19 vaccination | BMC public health | full text… https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-10902-w. Accessed Jun 27, 2023.
  5. 5. Sherman SM, Smith LE, Sim J, et al. COVID-19 vaccination intention in the UK: Results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey. Human Vaccines & Immunotherapeutics. 2021;17(6):1612–1621. https://doi.org/10.1080/21645515.2020.1846397. Accessed Jun 27, 2023.
  6. 6. Fisher KA, Bloomstone SJ, Walder J, Crawford S, Fouayzi H, Mazor KM. Attitudes toward a potential SARS-CoV-2 vaccine: A survey of U.S. adults. Annals of Internal Medicine. 2020;173(12):964–973. https://www.ncbi.nlm.nih.gov/pubmed/32886525. pmid:32886525
  7. 7. Chang JJ, Ji Y, Li YH, Pan HF, Su PY. Prevalence of anxiety symptom and depressive symptom among college students during COVID-19 pandemic: A meta-analysis. J Affect Disord. 2021;292:242–254. pmid:34134022
  8. 8. Kaseda ET, Levine AJ. Post-traumatic stress disorder: A differential diagnostic consideration for COVID-19 survivors. Clin Neuropsychol. 2020;34(7–8):1498–1514. Accessed Nov 18, 2022. pmid:32847484
  9. 9. Post-traumatic stress disorder. National Institute of Mental Health (NIMH) Web site. https://www.nimh.nih.gov/health/topics/post-traumatic-stress-disorder-ptsd. Accessed Jun 8, 2022.
  10. 10. Lee AM, Wong JGWS, McAlonan GM et al. Stress and psychological distress among SARS survivors 1 year after the outbreak. Can J Psychiatry. 2007;52(4):233–240. Accessed Nov 18, 2022. pmid:17500304
  11. 11. Mak IWC, Chu CM, Pan PC, Yiu MGC, Ho SC, Chan VL. Risk factors for chronic post-traumatic stress disorder (PTSD) in SARS survivors. Gen Hosp Psychiatry. 2010;32(6):590–598. Accessed Nov 18, 2022. pmid:21112450
  12. 12. Zhang L, Pan R, Cai Y, Pan J. The prevalence of post-traumatic stress disorder in the general population during the COVID-19 pandemic: A systematic review and single-arm meta-analysis. Psychiatry investigation. 2021;18(5):426–433. https://www.ncbi.nlm.nih.gov/pubmed/33910325. pmid:33910325
  13. 13. Ozamiz-Etxebarria N, Legorburu Fernandez I, Idoiaga-Mondragon N, Olaya B, Cornelius-White JHD, Santabárbara J. Post-traumatic stress in children and adolescents during the COVID-19 pandemic: A meta-analysis and intervention approaches to ensure mental health and well-being. Sustainability (Basel, Switzerland). 2023;15(6):5272. https://search.proquest.com/docview/2791712365.
  14. 14. Idoiaga N, Legorburu I, Ozamiz-Etxebarria N, Lipnicki DM, Villagrasa B, Santabárbara J. Prevalence of post-traumatic stress disorder (PTSD) in university students during the COVID-19 pandemic: A meta-analysis attending SDG 3 and 4 of the 2030 agenda. Sustainability (Basel, Switzerland). 2022;14(13):7914. https://search.proquest.com/docview/2686140839.
  15. 15. Hu B, Yang X, Tuo X. The prevalence of post-traumatic stress disorder in college students by continents and national income during the COVID-19 pandemic: A meta-analysis. Frontiers in psychology. 2023;14:1129782. https://www.ncbi.nlm.nih.gov/pubmed/37251043. pmid:37251043
  16. 16. Idoiaga Mondragon N, Fernandez IL, Ozamiz-Etxebarria N, Villagrasa B, Santabárbara J. PTSD (posttraumatic stress disorder) in teachers: A mini meta-analysis during COVID-19. International journal of environmental research and public health. 2023;20(3):1802. https://www.ncbi.nlm.nih.gov/pubmed/36767168. pmid:36767168
  17. 17. Qi G, Yuan P, Qi M, Hu X, Shi S, Shi X. Influencing factors of high PTSD among medical staff during COVID-19: Evidences from both meta-analysis and subgroup analysis. Safety and health at work. 2022;13(3):269–278. https://search.proquest.com/docview/2685040353. pmid:35784492
  18. 18. Sahebi A, Yousefi A, Abdi K, et al. The prevalence of post-traumatic stress disorder among health care workers during the covid-19 pandemic: An umbrella review and meta-analysis. Frontiers in psychiatry. 2021;12:764738. https://search.proquest.com/docview/2607299521. pmid:34867550
  19. 19. Nagarajan R, Krishnamoorthy Y, Basavarachar V, Dakshinamoorthy R. Prevalence of post-traumatic stress disorder among survivors of severe COVID-19 infections: A systematic review and meta-analysis. Journal of affective disorders. 2022;299:52–59. pmid:34800571
  20. 20. Bajoulvand R, Hashemi S, Askari E, Mohammadi R, Behzadifar M, Imani-Nasab M. Post-pandemic stress of COVID-19 among high-risk groups: A systematic review and meta-analysis. Journal of affective disorders. 2022;319:638–645. pmid:36174783
  21. 21. Sayed MH, Hegazi MA, El-Baz MS, et al. COVID-19 related posttraumatic stress disorder in children and adolescents in saudi arabia. PloS one. 2021;16(8):e0255440. https://search.proquest.com/docview/2558085432. pmid:34347842
  22. 22. Fekih-Romdhane F, Ghrissi F, Abbassi B, Cherif W, Cheour M. Prevalence and predictors of PTSD during the COVID-19 pandemic: Findings from a tunisian community sample. Psychiatry research. 2020;290:113131. https://dx.doi.org/10.1016/j.psychres.2020.113131.
  23. 23. Abdelghani M, Hassan MS, Alsadik ME, Abdelmoaty AA, Said A, Atwa SA. Post-traumatic stress symptoms among an egyptian sample of post-remission COVID-19 survivors: Prevalence and sociodemographic and clinical correlates. Middle East Curr Psychiatry. 2021;28(1):1–8. https://link.springer.com/article/10.1186/s43045-021-00102-y.
  24. 24. Fawaz M, Samaha A. COVID-19 quarantine: Post-traumatic stress symptomatology among lebanese citizens. International journal of social psychiatry. 2020;66(7):666–674. https://journals.sagepub.com/doi/full/10.1177/0020764020932207. pmid:32489136
  25. 25. Farran N. Mental health in lebanon: Tomorrow’s silent epidemic. Mental health & prevention. 2021;24:200218. https://dx.doi.org/10.1016/j.mhp.2021.200218. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503814/. Accessed Mar 21, 2022. pmid:34660191
  26. 26. Abou Hassan FF, Bou Hamdan M, Ali F, Melhem NM. Response to COVID-19 in lebanon: Update, challenges and lessons learned. Epidemiology and infection. 2023;151:e23. pmid:36645257
  27. 27. Bizri AR, Khachfe HH, Fares MY, Musharrafieh U. COVID-19 pandemic: An insult over injury for lebanon. J Community Health. 2021;46(3):487–493. https://link.springer.com/article/10.1007/s10900-020-00884-y. pmid:32661861
  28. 28. Fleifel M, Abi Farraj K. The lebanese healthcare crisis: An infinite calamity. Curēus (Palo Alto, CA). 2022;14(5):e25367. https://search.proquest.com/docview/2682660605. pmid:35769680
  29. 29. Zahreddine NK, Haddad SF, Kerbage A, Kanj SS. Challenges of coronavirus disease 2019 (COVID-19) in lebanon in the midst of the economic collapse. Antimicrobial Stewardship & Healthcare Epidemiology: ASHE. 2022;2(1):e67. https://www.ncbi.nlm.nih.gov/pubmed/36483357. pmid:36483357
  30. 30. Koweyes J, Salloum T, Haidar S, Merhi G, Tokajian S. COVID-19 pandemic in lebanon: One year later, what have we learnt? mSystems. 2021;6(2). https://www.ncbi.nlm.nih.gov/pubmed/33879497. pmid:33879497
  31. 31. Bosqui T. The need to shift to a contextualized and collective mental health paradigm: Learning from crisis-hit lebanon. Global Mental Health. 2020;7:e26. pmid:34191996
  32. 32. El Zouki C, Chahine A, Mhanna M, Obeid S, Hallit S. Rate and correlates of post-traumatic stress disorder (PTSD) following the beirut blast and the economic crisis among lebanese university students: A cross-sectional study. BMC psychiatry. 2022;22(1):1–532. https://search.proquest.com/docview/2704109975.
  33. 33. Jowett S, Shevlin M, Hyland P, Karatzias T. Posttraumatic stress disorder and persistent somatic symptoms during the COVID-19 pandemic: The role of sense of threat. Psychosomatic medicine. 2021;83(4):338–344. https://www.ncbi.nlm.nih.gov/pubmed/33818055. pmid:33818055
  34. 34. Rice V, Tree R, Boykin G. Posttraumatic stress disorder and somatization among U.S. service members and military veterans. Procedia Manufacturing. 2015;3:5342–5349. https://dx.doi.org/10.1016/j.promfg.2015.07.643.
  35. 35. Escalona R, Achilles G, Waitzkin H, Yager J. PTSD and somatization in women treated at a VA primary care clinic. Psychosomatics (Washington, D.C.). 2004;45(4):291–296. Accessed Apr 4, 2022. https://dx.doi.org/10.1176/appi.psy.45.4.291.
  36. 36. North C, Kawasaki A, Spitznagel E, Hong B. The course of PTSD, major depression, substance abuse, and somatization after a natural disaster. The journal of nervous and mental disease. 2004;192(12):823–829. http://ovidsp.ovid.com/ovidweb.cgi?T=JS&NEWS=n&CSC=Y&PAGE=fulltext&D=ovft&AN=00005053-200412000-00004. pmid:15583503
  37. 37. Kurlansik SL, Maffei MS. Somatic symptom disorder. Am Fam Physician. 2016;93(1):49–54. 12225 [pii]. pmid:26760840
  38. 38. Kroenke K, Spitzer RL, Williams JBW. The PHQ-15: Validity of a new measure for evaluating the severity of somatic symptoms. Psychosomatic medicine. 2002;64(2):258–266. https://www.ncbi.nlm.nih.gov/pubmed/11914441. pmid:11914441
  39. 39. ERICKSON S STEINER H. Somatization as an indicator of trauma adaptation in long-term pediatric cancer survivors. Clinical child psychology and psychiatry. 1999;4(3):415–426.
  40. 40. Andreski P, Chilcoat H, Breslau N. Post-traumatic stress disorder and somatization symptoms: A prospective study. Psychiatry research. 1998;79(2):131–138. https://www-sciencedirect-com.ezproxy.usek.edu.lb/science/article/pii/S0165178198000262. https://doi-org.ezproxy.usek.edu.lb/10.1016/S0165-1781(98)00026-2. pmid:9705051
  41. 41. Li M, Yu X, Wang D, et al. Association among resilience, post-traumatic stress disorder, and somatization in frontline healthcare workers in COVID-19: The mediating role of perceived stress. Frontiers in psychiatry. 2022;13:909071. https://search.proquest.com/docview/2720931811. pmid:36186851
  42. 42. Li L, Wang X, Tan J, Li J, Yuan Y. Influence of sleep difficulty on post-traumatic stress symptoms among frontline medical staff during COVID-19 pandemic in china. Psychol Health Med. 2022;27(9):1924–1936. Accessed Jun 27, 2023. pmid:34541987
  43. 43. Pacella ML, Hruska B, Delahanty DL. The physical health consequences of PTSD and PTSD symptoms: A meta-analytic review. Journal of anxiety disorders. 2013;27(1):33–46. https://www.clinicalkey.es/playcontent/1-s2.0-S0887618512001107. pmid:23247200
  44. 44. JOHN OP, GROSS JJ. Healthy and unhealthy emotion regulation: Personality processes, individual differences, and life span development. Journal of personality. 2004;72(6):1301–1333. pmid:15509284
  45. 45. Radomski SA, Read JP. Mechanistic role of emotion regulation in the PTSD and alcohol association. Traumatology (Tallahassee, Fla.). 2016;22(2):113–121. http://psycnet.apa.org/journals/trm/22/2/113. pmid:27398074
  46. 46. Boden MT, Thompson RJ, Dizén M, Berenbaum H, Baker JP. Are emotional clarity and emotion differentiation related? Cognition and emotion. 2013;27(6):961–978. https://www.tandfonline.com/doi/abs/10.1080/02699931.2012.751899. pmid:23237455
  47. 47. Adrian M, Zeman J, Veits G. Methodological implications of the affect revolution: A 35-year review of emotion regulation assessment in children. J Exp Child Psychol. 2011;110(2):171–197. https://www-sciencedirect-com.ezproxy.usek.edu.lb/science/article/pii/S0022096511000907. https://doi-org.ezproxy.usek.edu.lb/10.1016/j.jecp.2011.03.009. pmid:21514596
  48. 48. Short NA, Boffa JW, Clancy K, Schmidt NB. Effects of emotion regulation strategy use in response to stressors on PTSD symptoms: An ecological momentary assessment study. J Affect Disord. 2018;230:77–83. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811367/. Accessed Jul 5, 2022. pmid:29407542
  49. 49. Foa EB, Chrestman KR, Gilboa-Schechtman E. Prolonged exposure therapy for adolescents with PTSD emotional processing of traumatic experiences, therapist guide. Oxford University Press; 2008.
  50. 50. Tull MT, Barrett HM, McMillan ES, Roemer L. A preliminary investigation of the relationship between emotion regulation difficulties and posttraumatic stress symptoms. Behavior therapy. 2007;38(3):303–313. https://www.clinicalkey.es/playcontent/1-s2.0-S0005789407000214. pmid:17697854
  51. 51. Pencea I, Munoz AP, Maples-Keller JL, et al. Emotion dysregulation is associated with increased prospective risk for chronic PTSD development. Journal of psychiatric research. 2020;121:222–228. pmid:31865212
  52. 52. TYLER BODEN M, WESTERMANN S, MCRAE K, et al. Emotion regulation and posttraumatic stress disorder: A prospective investigation. Journal of social and clinical psychology. 2013;32(3):296–314. https://search.proquest.com/docview/1313148983.
  53. 53. McLean CP, Foa EB. Emotions and emotion regulation in posttraumatic stress disorder. Current opinion in psychology. 2017;14:72–77. https://www.ncbi.nlm.nih.gov/pubmed/28813323. pmid:28813323
  54. 54. Koechlin H, Coakley R, Schechter N, Werner C, Kossowsky J. The role of emotion regulation in chronic pain: A systematic literature review. Journal of psychosomatic research. 2018;107:38–45. pmid:29502762
  55. 55. Brown RJ, Bouska JF, Frow A, et al. Emotional dysregulation, alexithymia, and attachment in psychogenic nonepileptic seizures. Epilepsy & behavior. 2013;29(1):178–183. https://www.clinicalkey.es/playcontent/1-s2.0-S1525505013003429. pmid:23973643
  56. 56. Steffen A, Fiess J, Schmidt R, Rockstroh B. “That pulled the rug out from under my feet!”–adverse experiences and altered emotion processing in patients with functional neurological symptoms compared to healthy comparison subjects. BMC Psychiatry. 2015;15(1):1–9. pmid:26103961
  57. 57. Urbanek M, Harvey M, McGowan J, Agrawal N. Regulation of emotions in psychogenic nonepileptic seizures. Epilepsy & Behavior. 2014;37:110–115. pmid:25010325
  58. 58. Erkic M, Bailer J, Fenske SC, et al. Impaired emotion processing and a reduction in trust in patients with somatic symptom disorder. Clinical psychology & psychotherapy. 2018;25(1):163–172. pmid:29044807
  59. 59. Geenen R, van Ooijen-van der Linden L, Lumley MA, Bijlsma JW, van Middendorp H. The match–mismatch model of emotion processing styles and emotion regulation strategies in fibromyalgia. J Psychosom Res. 2012;72(1):45–50. pmid:22200522
  60. 60. Waller E, Scheidt CE. Somatoform disorders as disorders of affect regulation: A study comparing the TAS-20 with non-self-report measures of alexithymia. J Psychosom Res. 2004;57(3):239–247. pmid:15507250
  61. 61. Hinton DE, Lewis-Fernández R. The cross-cultural validity of posttraumatic stress disorder: Implications for DSM-5. Depression and anxiety. 2011;28(9):783–801. https://api.istex.fr/ark:/67375/WNG-RZT6KB9V-2/fulltext.pdf. pmid:21910185
  62. 62. El Hajj M. Prevalence and associated factors of post-traumatic stress disorder in lebanon: A literature review. Asian journal of psychiatry. 2021;63:102800. pmid:34340165
  63. 63. Karam EG, Karam GE, Farhat C, et al. Determinants of treatment of mental disorders in lebanon: Barriers to treatment and changing patterns of service use. Epidemiol Psychiatr Sci. 2018;28(6):655–661. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998990/. Accessed Mar 21, 2022. pmid:30101735
  64. 64. Comrey AL. A first course in factor analysis. United Kingdom: Psychology Press; 2013. http://digital.casalini.it/9781317844075. 10.4324/9781315827506.
  65. 65. Mundfrom DJ, Shaw DG, Ke TL. Minimum sample size recommendations for conducting factor analyses. International journal of testing. 2005;5(2):159–168. https://www.tandfonline.com/doi/abs/10.1207/s15327574ijt0502_4.
  66. 66. Faul F, Erdfelder E, Lang A, Buchner A. GPower 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior research methods. 2007;39(2):175–191. https://www.ncbi.nlm.nih.gov/pubmed/17695343. pmid:17695343
  67. 67. Melki IS, Beydoun HA, Khogali M, Tamim H, Yunis KA. Household crowding index: A correlate of socioeconomic status and inter-pregnancy spacing in an urban setting. Journal of epidemiology and community health (1979). 2004;58(6):476–480. pmid:15143115
  68. 68. Kroenke K, Spitzer RL, Williams JBW. The PHQ-15: Validity of a new measure for evaluating the severity of somatic symptoms. Psychosomatic medicine. 2002;64(2):258–266. https://www.ncbi.nlm.nih.gov/pubmed/11914441. pmid:11914441
  69. 69. Kroenke K, Spitzer RL, Williams JBW, Löwe B. The patient health questionnaire somatic, anxiety, and depressive symptom scales: A systematic review. General Hospital Psychiatry. 2010;32(4):345–359. https://www.sciencedirect.com/science/article/pii/S0163834310000563. Accessed Apr 5, 2022. pmid:20633738
  70. 70. Weathers FW, Litz BT, Herman DS, Huska JA, Keane TM. The PTSD checklist (PCL): Reliability, validity, and diagnostic utility. 1993;462.
  71. 71. Gross JJ, John OP. Individual differences in two emotion regulation processes. Journal of personality and social psychology. 2003;85(2):348–362. https://www.ncbi.nlm.nih.gov/pubmed/12916575.
  72. 72. Kahwagi R, Zeidan RK, Haddad C, et al. Emotion regulation among lebanese adults: Validation of the emotion regulation questionnaire and association with attachment styles. Perspectives in psychiatric care. 2021;57(2):809–820. https://onlinelibrary.wiley.com/doi/abs/10.1111/ppc.12619. pmid:32936945
  73. 73. BEATON DE, BOMBARDIER C, GUILLEMIN F, FERRAZ MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Philadelphia, Pa. 1976). 2000;25(24):3186–3191. https://www.ncbi.nlm.nih.gov/pubmed/11124735. pmid:11124735
  74. 74. Swami V, Barron D. Translation and validation of body image instruments: Challenges, good practice guidelines, and reporting recommendations for test adaptation. Body image. 2019;31:204–220. pmid:30220631
  75. 75. Hair J. Multivariate data analysis: A global perspective.; 2009:xxviii. https://search.proquest.com/docview/37185810.
  76. 76. Cattell RB. The scree test for the number of factors. Multivariate behavioral research. 1966;1(2):245–276. https://www.tandfonline.com/doi/abs/10.1207/s15327906mbr0102_10. pmid:26828106
  77. 77. Mulaik SA, James LR, Van Alstine J, Bennett N, Lind S, Stilwell CD. Evaluation of goodness-of-fit indices for structural equation models. Psychological bulletin. 1989;105(3):430–445. https://search.proquest.com/docview/1296896434.
  78. 78. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling. 1999;6(1):1–55. https://www.tandfonline.com/doi/abs/10.1080/10705519909540118.
  79. 79. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. 2nd ed ed. Guilford Press; 2018. https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781462534661&uid=none.
  80. 80. Vandekerckhove JS, Matzke D, Wagenmakers E. Oxford handbook of computational and mathematical psychology. 2014.
  81. 81. Kroenke K, Spitzer RL, deGruy FV, Swindle R. A symptom checklist to screen for somatoform disorders in primary care. Psychosomatics (Washington, D.C.). 1998;39(3):263–272. pmid:9664773
  82. 82. Rohlof HG, Knipscheer JW, Kleber RJ. Somatization in refugees: A review. Soc Psychiatry Psychiatr Epidemiol. 2014;49(11):1793–1804. https://link.springer.com/article/10.1007/s00127-014-0877-1. pmid:24816685
  83. 83. Spitzer C, Barnow S, Wingenfeld K, Rose M, Löwe B, Grabe HJ. Complex post-traumatic stress disorder in patients with somatization disorder. Australasian psychiatry: bulletin of the Royal Australian and New Zealand College of Psychiatrists. 2009;43(1):80–86. https://journals.sagepub.com/doi/full/10.1080/00048670802534366. pmid:19085532
  84. 84. Bae SM, Kang JM, Chang HY, Han W, Lee SH. PTSD correlates with somatization in sexually abused children: Type of abuse moderates the effect of PTSD on somatization. PLoS ONE. 2018;13(6):e0199138. https://www.ncbi.nlm.nih.gov/pubmed/29927990. pmid:29927990
  85. 85. Liedl A O’Donnell M, Creamer M, et al. Support for the mutual maintenance of pain and post-traumatic stress disorder symptoms. Psychological medicine. 2010;40(7):1215–1223. pmid:19811699
  86. 86. Van Ommeren M, Sharma B, Sharma GK, Komproe I, Cardeña E, de Jong JTVM. The relationship between somatic and PTSD symptoms among bhutanese refugee torture survivors: Examination of comorbidity with anxiety and depression. Journal of traumatic stress. 2002;15(5):415–421. https://api.istex.fr/ark:/67375/WNG-4HKS2XLP-P/fulltext.pdf. :1020141510005.
  87. 87. Kounou KB, Brodard F, Gnassingbe A, et al. Posttraumatic stress, somatization, and quality of life among ivorian refugees. Journal of traumatic stress. 2017;30(6):682–689. https://onlinelibrary.wiley.com/doi/abs/10.1002/jts.22244. pmid:29194763
  88. 88. Farhood LF, Richa H, Massalkhi H. Group mental health interventions in civilian populations in war-conflict areas. Journal of transcultural nursing. 2014;25(2):176–182. https://journals.sagepub.com/doi/full/10.1177/1043659613515717.
  89. 89. El Hayek S, Bizri M. Beirut blast and mental health in lebanon: Finding ways out. Asian journal of psychiatry. 2020;54:102458. pmid:33271737
  90. 90. Davanloo H. The technique of unlocking the unconscious in patients suffering from functional disorders. part I. restructuring ego’s defenses. Davanloo H.Unlocking the unconscious.Chichester: John Wiley & Sons. 1990:283–306.
  91. 91. Roter DL, Ewart CK. Emotional inhibition in essential hypertension. Health psychology. 1992;11(3):163–169. https://www.ncbi.nlm.nih.gov/pubmed/1618170.
  92. 92. Abbass A. Somatization: Diagnosing it sooner through emotion-focused interviewing. The Journal of family practice. 2005;54(3):231–243. https://www.ncbi.nlm.nih.gov/pubmed/15755376. pmid:15755376
  93. 93. Davoodi E, Wen A, Dobson KS, Noorbala AA, Mohammadi A, Farahmand Z. Emotion regulation strategies in depression and somatization disorder. Psychological reports. 2019;122(6):2119–2136. https://journals.sagepub.com/doi/full/10.1177/0033294118799731. pmid:30304997
  94. 94. Koh KB, Kim DK, Kim SY, Park JK. The relation between anger expression, depression, and somatic symptoms in depressive disorders and somatoform disorders. The journal of clinical psychiatry. 2005;66(4):485–491. https://www.ncbi.nlm.nih.gov/pubmed/15816791. pmid:15816791
  95. 95. Waller E, Scheidt CE. Somatoform disorders as disorders of affect regulation: A development perspective. Int Rev Psychiatry. 2006;18(1):13–24. Accessed Aug 10, 2022. pmid:16451876
  96. 96. Gross JJ, Levenson RW. Emotional suppression: Physiology, self-report, and expressive behavior. Journal of Personality and Social Psychology. 1993;64(6):970–986. Accessed Aug 10, 2022. pmid:8326473