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Psychometric properties of an Arabic translation of the brief version of the difficulty in emotion regulation scale (DERS-16)

Abstract

Background

The current study aimed to examine the psychometric properties of an Arabic translation of the short form of the Difficulty in Emotion Regulation Scale (DERS-16) in an Arabic-speaking population-based adult sample in Lebanon. In particular, the factorial structure, composite reliability, convergent validity and gender invariance were investigated.

Methods

A total of 411 Lebanese adult participants (mean age of 32.86 ± 11.98 years, 75.4% females) took part of this cross-sectional web-based study. The forward and backward translation method was applied.

Results

Findings revealed good internal consistency of the Arabic DERS-16 total scale and five subscales (McDonald’s ω ranging from 0.81 to 0.95). Confirmatory factor analyses confirmed the five-factor solution of the scale and demonstrated strong measurement invariance across gender at the configural, metric, and scalar levels. No significant differences were found in all DERS-16 domains between men and women participants. Finally, the DERS-16 scores and sub-scores showed strong correlations with the Borderline Personality Questionnaire (r > .40), thus indicating its convergent validity.

Conclusion

Overall, the present findings suggest that the Arabic version of the DERS-16 may be a reliable and valid self-report measure that assesses ER difficulties as a multidimensional construct. Making the Arabic version of the DERS-16 available will hopefully strengthen its utilization for clinical and research purposes to benefit the millions of Arabic-speaking people worldwide.

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Introduction

Emotion regulation (ER) is a multidimensional concept that can be defined as one’s ability to recognize, assess, respond to, and monitor the expression of their felt emotions, in order to reach their own goals [1,2,3]. Due to its major clinical relevance, ER has attracted a growing research interest during the last years [4, 5], which was designated to as the “affect revolution” [6]. Indeed, ER provide valuable information on the ways and behaviors that can improve or maintain situational adaptability [7], and lead to greater functioning and psychological wellbeing [5, 8,9,10]. When deficient, however, ER has consistently been demonstrated to relate to a wide range of negative behavioral and psychological outcomes [9, 11,12,13,14], including depression and anxiety disorders [15, 16], posttraumatic stress disorder [17], eating disorders [18], substance use [19], and borderline personality disorder [20,21,22,23]. Evidence has also supported the role of ER in the treatment of multiple mental health problems [24,25,26]. These substantial implications motivated the development of numerous measures to assess the ER construct and its different facets (e.g., [27,28,29,30,31,32]). Nevertheless, a unified and standardized way to evaluate multi-domain aspects of ER across populations is still lacking and strongly needed [13, 33].

One comprehensive, theoretically-supported, and widely used measure of ER difficulties is the Difficulties in Emotion Regulation Scale (DERS; [34]). The DERS is a 36-item self-report scale that has been originally developed by Gratz and Roemer in 2004 among US undergraduate students; and contains six factors, i.e., lack of emotional clarity, difficulties in goal directed behavior, impulse control difficulties under distress, limited access to emotion regulation strategies, and non-acceptance of emotional responses [34]. The scale has then proven to be useful and reliable for clinical and treatment applications [12, 35, 36]. This has therefore encouraged the development of three shorter forms for easier and more convenient use, i.e., a 18-item (DERS-18) [37], a 17-item (DERS-SF) [38] and a 16-item (DERS-16 ) [39] versions. Among these versions, the briefest one (i.e. DERS-16) exhibited the highest item total correlations [40]. In addition, the DERS-16 showed excellent psychometric properties both in clinical and non-clinical samples [39]. In particular, the scale yielded excellent internal consistency (Cronbach’s α = 0.92), good test-retest reliability (ρI = 0.85; p < .001), appropriate construct validity equivalence (as evidenced through correlations with the original 36-item DERS), as well as adequate discriminant validity (as attested by significant correlations of DERS-16 scores with measures of negative emotionality, mindfulness, experiential avoidance, psychiatric symptoms, deliberate self-harm, borderline symptoms, and alcohol use disorder) [39]. When designing the DERS-16, Bjureberg et al. decided to exclude the Awareness factor due to its weak psychometric qualities [36, 41,42,43], resulting thus in a five-factor structure model [39]. Since its development, several studies sought to investigate the DERS-16’s psychometric characteristics across different settings and in different populations, such as adolescents with non-suicidal self-injury [44, 45], adolescents and adults with severe mental illnesses [46], community adults [47], adults with substance use disorders [48, 49] and emotional disorders [36]. The DERS-16 has also been cross-validated in several languages and cultures, including Finnish [50], Brazilian [43], Turkish [51], Swedish [39], and Persian [52]. However, there is currently no version of the DERS adapted for the Arabic-speaking population.

The present study focused on examining the appropriateness of the Arabic version of the DERS-16 in a non-clinical Lebanese population, for several reasons. First, there had been very limited research on ER in Arab contexts [53], likely due to a lack of cross-culturally adapted and valid measures. The Emotion Regulation Questionnaire (ERQ; [27]) is the only ER measure available in Arabic to date. It has been previously validated in Lebanese community adults [53, 54], Saudi Children and Adolescents [55], and Iraqi nursing students [56]. While DERS enables to capture broad ER domains, the ERQ is a narrower measure specifically focused on cognitive strategies; consequently, DERS demonstrated more usefulness in clinical settings compared to ERQ [47]. Second, the DERS-16 is highly advantageous because of its brevity. This is of major importance, particularly in the low- and middle-income Arab countries, as it offers reduced administration time, respondents’ burden and costs. This has led several authors to recommend its selection for use over all DERS versions (i.e. the full-length and three short forms) when aiming at assessing difficulties in ER (e.g., [40]). Third, all versions of the DERS have been developed in Western contexts and English-speaking populations. However, research pointed to the culturally-dependent nature of ER [57] and the significant differences between western and Arab samples regarding how ER strategies are used and how they relate to psychopathology [58], [59]. It remains thus unknown whether the DERS can be appropriate and useful in people from Arab cultural backgrounds and settings. For all these reasons, it becomes obvious there is a strong need for adequately translated and validated version of the DERS-16 into the Arabic language.

To this end, the current study aimed to examine the psychometric properties of an Arabic translation of the DERS-16 in an Arabic-speaking population-based adult sample in Lebanon. In particular, the factorial structure, composite reliability, convergent validity and gender invariance were investigated. We hypothesized that the Arabic DERS-16 will (1) show high internal consistency and convergent validity, (2) replicate the five-factor structure of the initial version, and (3) demonstrate measurement invariance across gender.

Methods

Procedures

All data were collected via a Google Form link, between May and July 2022. The project was advertised on social media and included an estimated duration. Inclusion criteria for participation included being a resident and citizen of Lebanon of adult age (≥ 18 years). Excluded were those who refused to fill out the questionnaire. Internet protocol (IP) addresses were examined to ensure that no participant took the survey more than once. After providing digital informed consent, participants were asked to complete the instruments described above, which were presented in a pre-randomised order to control for order effects. The survey was anonymous and participants completed the survey voluntarily and without remuneration.

Translation Procedure

A common procedure of back-translation was followed in the present study, in which a text is translated from a source into a target language, and then independently back-translated into the source language by a second interpreter. Therefore, the English version of the DERS was translated to Arabic by a Lebanese translator who was completely unrelated to the study. Afterwards, a Lebanese psychologist with a full working proficiency in English, translated the Arabic version back to English. To evaluate the accuracy of the translation, the initial and back-translated English versions were compared [60, 61]; and any inconsistencies were detected and eliminated by a committee composed of the research team and the two translators. The translated Arabic version was pretested in a sample of 20 persons from the target population to ensure understanding of the questions [62].

Measures

Difficulty in Emotion Regulation Scale (DERS-16).

It is a 16-item scale that assesses difficulties in emotion regulation [39]. Items are graded using a 5-point Likert scale. Higher scores reflect more emotion regulation difficulties. Within the scale are five subscales: lack of emotional clarity (e.g., “I am confused about how I feel”; 2 items), inability to engage in goal-directed behaviours when distressed (e.g., “When I am upset, I have difficulty getting work done”; 3 items), difficulties controlling impulsive behaviours when distressed (e.g., “When I am upset, I become out of control”; 3 items), non-acceptance of negative emotions (e.g., “When I am upset, I feel like I am weak”; 3 items), and limited access to emotion regulation strategies perceived as effective (e.g., “When I am upset, my emotions feel overwhelming”; 5 items).

Borderline Personality Questionnaire.

The BPQ was developed by Poreh et al. [63] and is a self-report scale composed of 80 items, with a true/false option. BPQ Borderline personality traits tested for reliability and validity are evaluated according to DSM-IV criterions. BPQ scale has nine subscales which are Impulsivity, Instability in affect, Abandonment, Relationships, Self-Image, Suicide/Self-Mutilation Behavior, Emptiness, intense Anger, and Psychosis-like Cases. Higher scores indicate the presence of a borderline personality. The Arabic version of the BPQ has been used [64]. The BPQ total scores yielded a McDonald’s ω of 0.94 in the present sample.

Demographics.

Participants were asked to provide their demographic details consisting of age, sex, highest educational attainment, region of living, marital status and the Household Crowding Index (HCI); the latter reflecting the socioeconomic status of the family [65], is the ratio of the number of persons living in the house over the number of rooms in it (excluding the kitchen and the bathrooms).

Analytic strategy

Confirmatory factor analysis.

There were no missing responses in the dataset. We used data from the total sample to conduct a CFA using the SPSS AMOS v.26 software. The minimum sample size to conduct a confirmatory factor analysis ranges from 3 to 20 times the number of the scale’s variables [66]. Therefore, we assumed a minimum sample of 320 participants needed to have enough statistical power based on a ratio of 20 participants per one item of the scale, which was exceeded in our sample. Our intention was to test the original model of the DERS-16 scores (i.e., five-factor model). Parameter estimates were obtained using the maximum likelihood method and fit indices. Additionally, evidence of convergent validity was assessed in this subsample using the Fornell-Larcker criterion, with average variance extracted (AVE) values of ≥ 0.50 considered adequate [67] and meaning that a latent variable is able to explain more than half of the variance of its indicators on average (i.e., items converge into a uniform construct). To carry out a CFA, the following assumptions must be met: 1) inter-item correlation (the average correlation should be between 0.20 and 0.40), item-to-factors correlation (coefficient > 0.4, suggests convergent validity of items within the same factors) and inter-factors correlation (coefficient of > 0.4 support convergent validity).

Gender invariance.

To examine gender invariance of the DERS-16 scores, we conducted multi-group CFA [68] using the total sample. Measurement invariance was assessed at the configural, metric, and scalar levels [69]. Configural invariance implies that the latent scales variable(s) and the pattern of loadings of the latent variable(s) on indicators are similar across gender (i.e., the unconstrained latent model should fit the data well in both groups). Metric invariance implies that the magnitude of the loadings is similar across gender; this is tested by comparing two nested models consisting of a baseline model and an invariance model. Lastly, scalar invariance implies that both the item loadings and item intercepts are similar across gender and is examined using the same nested-model comparison strategy as with metric invariance [68]. Following the recommendations of Cheung and Rensvold (2002) [70] and Chen (2007) [68], we accepted ΔCFI ≤ 0.010 and ΔRMSEA ≤ 0.015 or ΔSRMR ≤ 0.010 (0.030 for factorial invariance) as evidence of invariance.

Further analyses.

Composite reliability in both subsamples was assessed using McDonald’s (1970) ω, with values greater than 0.70 reflecting adequate composite reliability [71]. McDonald’s ω was selected as a measure of composite reliability because of known problems with the use of Cronbach’s α (e.g., [72]). To assess convergent and criterion-related validity, we examined bivariate correlations between DERS and BPQ scores. Based on Cohen (1992) [73], values ≤ 0.10 were considered weak, ~ 0.30 were considered moderate, and ~ 0.50 were considered strong correlations.

Results

Sociodemographic and other characteristics of the sample

Four hundred eleven participants were included in this study, with a mean age of 32.86 ± 11.98 years and 75.4% females. Based on a cut-off point of 1.5 SD, the results showed that 35 (8.5%) participants had underdiagnosed borderline personality disorder. Other descriptive statistics of the sample can be found in Table 1.

Table 1 Sociodemographic and other characteristics of the sample (N = 411)

Inter-item, item-factors and inter-factors correlations

The description of the Inter-item, item-factors and inter-factors correlations are summarized in Tables 2, 3 and 4. Assumptions were met except for the inter-item correlations that showed an average > 0.4, revealing good convergent validity of the scale.

Table 2 Inter-item correlations
Table 3 Inter-factor correlations
Table 4 Item-factor correlations

Confirmatory factor analysis of the DERS scale

CFA indicated that fit of the three-factor model of the DERS-16 was acceptable: χ2/df = 397.22/94 = 4.22, RMSEA = 0.088 (90% CI 0.079; 0.097), SRMR = 0.044, CFI = 0.935, TLI = 0.917. When adding a correlation between residuals of items 13 and 14, the fit indices improved as follows: χ2/df = 321.20/93 = 3.45, RMSEA = 0.077 (90% CI 0.068, 0.086), SRMR = 0.040, CFI = 0.951, TLI = 0.937. The standardised estimates of factor loadings were all adequate (see Table 5). The convergent validity for this model was borderline, as AVE = 0.675.

Table 5 Items of the difficulty in emotion regulation scale (DERS-16) in English and Factor Loadings Derived from the Confirmatory Factor Analysis (CFA) in the total sample

Composite reliability

Composite reliability of scores was adequate in the total sample for the total scale (ω = 0.95), clarity (ω = 0.87), goals (ω = 0.87), impulse (ω = 0.86), strategies (ω = 0.89), and non-acceptance (ω = 0.81).

Gender invariance

As reported in Table 6, all indices suggested that configural, metric, and scalar invariance was supported across gender. Given these results, we computed an independent-samples t-test to examine gender differences in terms of DERS-16 total scale and subscales scores; no significant difference was found between men and women in terms of all DERS-16 scores (Table 7).

Table 6 Measurement Invariance of the difficulty in emotion regulation scale (DERS-16) Across Gender in the total sample
Table 7 Comparison between sexes in terms of the difficulty in emotion regulation scale (DERS-16) total scale and subscales scores in the total sample

Convergent and criterion-related validity

To assess the validity of the scores, we examined bivariate correlations between all DERS-16 scores and borderline personality using the total sample. All DERS-16 scores were significantly associated with more borderline personality. Older age was significantly associated with lower DERS-16 scores (Table 8).

Table 8 Correlations of the difficulty in emotion regulation scale (DERS-16) total scale and subscales scores with the other measures in the total sample

Discussion

This is the first study to describe the psychometric properties of the DERS-16 in an Arabic-speaking population. As expected, the Arabic DERS-16 demonstrated good internal consistency and convergent validity. The results also showed that the five-factor model produced a good fit and was invariant across gender. Overall, the present findings suggest that the Arabic version of the DERS-16 may be a reliable and valid self-report measure that assesses ER difficulties as a multidimensional construct. On account of its brevity and easier administration, the DERS-16 may be particularly suitable for use in Arab settings that are afflicted by financial and resource scarcity along with a shortage of psychometrically-sound research tools [74].

Our investigation of the psychometric properties revealed good internal consistency of the Arabic DERS-16 total scale and five subscales (McDonald’s ω ranging from 0.81 to 0.95), which is in agreement with the original validation study [39] as well as other previous studies in different settings and contexts. Most of these studies, however, used Cronbach’s alphas coefficients to examine internal consistency of the DERS-16. For instance, Sörman et al. found high reliability of the English version of the DERS-16 scale among US community adults (Cronbach’s Alpha coefficients ranging from 0.71 to 0.92) [47]. Similar properties have been reported among non-clinical adults using other linguistic versions (i.e. Brazilian, alphas > 0.80 [43]; Turkish, alphas > 0.78 [51]; Finnish, alphas > 0.70 [50]), and in clinical samples (e.g., US adult outpatients with depression, anxiety and stress-related disorders [36]). One strength of our study over previous studies is the use of McDonald’s ω, which has proven more advantageous in estimating the internal consistency of multidimensional research tools compared to Cronbach’s alpha [75].

The present findings from the CFA confirmed the five-factor solution of the DERS-16, thus providing additional support to the cross-cultural validity of the scale. The five-factor structure of the DERS-16 has been consistently supported in the original scale development study [39], as well as in Finnish [50] and Brazilian [43] population-based samples. Likewise, other studies have demonstrated that the DERS-16 displayed a five-factor structure in Turkish [51], Persian [52], and Australian [40] undergraduate students. Beyond its factorial structure, the Arabic DERS-16 also demonstrated strong measurement invariance across gender at the configural, metric, and scalar levels. This implies that the multidimensional structure of the scale is equally applicable in Arabic-speaking male and female samples. The original validation study could not provide information on the appropriateness for use with both genders due to involving a majority of female participants [39]. We could find only one previous study that has documented similar evidence for invariance by gender groups on the basis of the subscales of the DERS-16 [51]. Furthermore, we could find no significant differences in all DERS-16 domains between men and women participants. While our results were consistent with few previous studies (e.g., [76, 77]), the existing research on gender-related differences in ER have generally revealed mixed findings. Some studies found that women tend to exhibit more difficulties in some ER dimensions (especially in the Goals and Non-acceptance dimensions) [43, 50, 51, 78, 79], whereas others found that these differences were no longer significant when considering the total DERS scores [17, 34, 80]. Gender differences regarding ER strategies are shaped by cultural norms and societal gender roles [81], which may explain these inconsistencies. Further studies exploring measurement invariance and gender differences in the various versions available of the DERS-16 in different cultural backgrounds are needed to clarify these discrepancies.

The DERS-16 scores and sub-scores showed strong correlations with the Borderline Personality Questionnaire, thus indicating its convergent validity. As noted earlier, there is sufficient evidence that DERS scores are linked to many forms of psychopathology [82,83,84,85], including personality disorder [20]. In addition, ER difficulties have been shown to overlap with a range of behavioral problems that characterize people with borderline personality traits, such as substance use [19, 39, 86], deliberate self-harm [87], and risky sexual behavior [86, 88]. Overall, the high level of convergence between the BPQ and the DERS-16 demonstrate that the latter allows identifying aspects of ER difficulties that are relevant to borderline personality traits. These findings provide further support to the clinical utility of the DERS-16. These findings provide further support to the clinical utility of the DERS-16, and strengthens the evidence of its adequacy in clinical populations as a screening and monitoring measure [47].

Study limitations and research perspectives

This study has certain strengths that deserve to be highlighted, including the use of McDonald’s ω to examine internal consistency and the evaluation of gender invariance. We also extend previous research on the cross-cultural validity of the 16-item five-structure version of the DERS, by providing its Arabic validated translation. At the same time, our study has a number of limitations that need to be discussed. First, we only included community participants, thus limiting the generalization of our findings. Additional studies need to confirm the appropriateness of the use of the Arabic DERS-16 in clinical samples. Second, we used a cross-sectional design, which does not enable causal inference. Third, some psychometric properties of the Arabic DERS-16 (such as test-retest reliability and divergent validity) have not been assessed in the context of the present study, and need to be subject of future research. No cognitive criteria were taken into consideration while enrolling participants. Finally, Prior cross-cultural research has shown that ER strategies are present but used differently across various Arab countries and contexts [89], highlighting the need to further validate the DERS-16 in Arabic-speaking populations other than the Lebanese, to confirm its cross-cultural robustness.

Conclusion

The present findings have shown that the original five-factor structure of the DERS-16 based on English-speaking Western samples remains stable in our Lebanese Arabic-speaking sample and yielded strong factorial invariance across gender groups. In addition, results demonstrated the high validity and reliability of the scale, overall preliminarily suggesting that it is a promising measure for capturing clinically relevant ER difficulties in Arab settings. Making the Arabic version of the DERS-16 available will hopefully strengthen its utilization for clinical and research purposes to benefit the millions of Arabic-speaking people worldwide.

Data Availability

All data generated or analyzed during this study are not publicly available due the restrictions by the ethics committee (data are owned by the Psychiatric Hospital of the Cross). The dataset supporting the conclusions is available upon request to Ms. Rana Nader (rnader@naderlawoffice.com), a member of the ethics committee at the Psychiatric Hospital of the Cross.

References

  1. Thompson RA. Emotion regulation: A theme in search of definition. Monographs of the society for research in child development, 1994: p. 25–52.

  2. Rosencrans PL, et al. Disentangling distress tolerance, emotion regulation, and quality of life in childhood trauma and adult anxiety. Int J Cogn Therapy. 2017;10(4):283–303.

    Article  Google Scholar 

  3. Gross JJ. The emerging field of emotion regulation: an integrative review. Rev Gen Psychol. 1998;2(3):271–99.

    Article  Google Scholar 

  4. Melka SE, et al. Confirmatory factor and measurement invariance analyses of the emotion regulation questionnaire. J Clin Psychol. 2011;67(12):1283–93.

    Article  PubMed  Google Scholar 

  5. Gross JJ. Emotion regulation: current status and future prospects. Psychol Inq. 2015;26(1):1–26.

    Article  Google Scholar 

  6. 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):171–97.

    Article  PubMed  Google Scholar 

  7. Izard CE, Ackerman BP. Motivational, organizational, and regulatory functions of discrete emotions. Handb emotions. 2000;2:253–64.

    Google Scholar 

  8. Berking M, et al. Emotion regulation predicts symptoms of depression over five years. Behav Res Ther. 2014;57:13–20.

    Article  PubMed  Google Scholar 

  9. Aldao A, Nolen-Hoeksema S, Schweizer S. Emotion-regulation strategies across psychopathology: a meta-analytic review. Clin Psychol Rev. 2010;30(2):217–37.

    Article  PubMed  Google Scholar 

  10. Roberton T, Daffern M, Bucks RS. Emotion regulation and aggression. Aggress Violent Beh. 2012;17(1):72–82.

    Article  Google Scholar 

  11. Berking M, Wupperman P. Emotion regulation and mental health: recent findings, current challenges, and future directions. Curr Opin Psychiatry. 2012;25(2):128–34.

    Article  PubMed  Google Scholar 

  12. Gratz KL, Tull MT. Emotion regulation as a mechanism of change in acceptance-and mindfulness-based treatments. Assessing mindfulness and acceptance processes in clients: Illuminating the theory and practice of change, 2010. 2: p. 107 – 33.

  13. Gross JJ, Jazaieri H. Emotion, emotion regulation, and psychopathology: an affective science perspective. Clin Psychol Sci. 2014;2(4):387–401.

    Article  Google Scholar 

  14. Sheppes G, Suri G, Gross JJ. Emotion regulation and psychopathology. Ann Rev Clin Psychol. 2015;11:379–405.

    Article  Google Scholar 

  15. Ehring T, et al. Emotion regulation and vulnerability to depression: spontaneous versus instructed use of emotion suppression and reappraisal. Emotion. 2010;10(4):563.

    Article  PubMed  Google Scholar 

  16. Salters-Pedneault K, et al. Evidence of broad deficits in emotion regulation associated with chronic worry and generalized anxiety disorder. Cogn Therapy Res. 2006;30(4):469–80.

    Article  Google Scholar 

  17. Tull MT, et al. A preliminary investigation of the relationship between emotion regulation difficulties and posttraumatic stress symptoms. Behav Ther. 2007;38(3):303–13.

    Article  PubMed  Google Scholar 

  18. Whiteside U et al. Difficulties regulating emotions: Do binge eaters have fewer strategies to modulate and tolerate negative affect? Eating behaviors, 2007. 8(2): p.162–169.

  19. Tull MT, et al. A prospective investigation of emotion dysregulation as a moderator of the relation between posttraumatic stress symptoms and substance use severity. J Anxiety Disord. 2015;29:52–60.

    Article  PubMed  Google Scholar 

  20. Gratz KL, et al. An experimental investigation of emotion dysregulation in borderline personality disorder. J Abnorm Psychol. 2006;115(4):850–5.

    Article  PubMed  Google Scholar 

  21. Bornovalova MA, et al. A multimodal assessment of the relationship between emotion dysregulation and borderline personality disorder among inner-city substance users in residential treatment. J Psychiatr Res. 2008;42(9):717–26.

    Article  PubMed  Google Scholar 

  22. Iverson KM, et al. An investigation of experiential avoidance, emotion dysregulation, and distress tolerance in young adult outpatients with borderline personality disorder symptoms. Personality Disorders: Theory Research and Treatment. 2012;3(4):415.

    Article  Google Scholar 

  23. Southward MW, Cheavens JS. Quality or quantity? A multistudy analysis of emotion regulation skills deficits associated with borderline personality disorder. Personal Disord. 2020;11(1):24–35.

    Article  PubMed  Google Scholar 

  24. Gratz KL, et al. Mechanisms of change in an emotion regulation group therapy for deliberate self-harm among women with borderline personality disorder. Behav Res Ther. 2015;65:29–35.

    Article  PubMed  Google Scholar 

  25. Gratz K, Tull M, Levy R. Randomized controlled trial and uncontrolled 9-month follow-up of an adjunctive emotion regulation group therapy for deliberate self-harm among women with borderline personality disorder. Psychol Med. 2014;44(10):2099–112.

    Article  PubMed  Google Scholar 

  26. Ben-Porath DD, et al. Dialectical behavior therapy: does it bring about improvements in affect regulation in individuals with eating disorders? J Contemp Psychother. 2014;44(4):245–51.

    Article  Google Scholar 

  27. Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Pers Soc Psychol. 2003;85(2):348–62.

    Article  PubMed  Google Scholar 

  28. Hofmann SG, Kashdan TB. The affective style questionnaire: Development and Psychometric Properties. J Psychopathol Behav Assess. 2010;32(2):255–63.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Simons JS, Gaher RM. The distress tolerance scale: development and validation of a self-report measure. Motivation and emotion. 2005;29(2):83–102.

    Article  Google Scholar 

  30. Taylor CT, Laposa JM, Alden LE. Is avoidant personality disorder more than just social avoidance? J Personal Disord. 2004;18(6):571.

    Article  Google Scholar 

  31. Bagby RM, Taylor GJ, Parker JD. The twenty-item Toronto Alexithymia Scale—II. Convergent, discriminant, and concurrent validity. J Psychosom Res. 1994;38(1):33–40.

    Article  PubMed  Google Scholar 

  32. Hofmann SG, Kashdan TB. The affective style questionnaire: development and psychometric properties. J Psychopathol Behav Assess. 2010;32(2):255–63.

    Article  PubMed  PubMed Central  Google Scholar 

  33. D’Agostino A, et al. Reconsidering Emot Dysregulation Psychiatr Q. 2017;88(4):807–25.

    Google Scholar 

  34. Gratz KL, Roemer L. Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J Psychopathol Behav Assess. 2004;26(1):41–54.

    Article  Google Scholar 

  35. Gratz KL. Targeting emotion dysregulation in the treatment of self-injury. J Clin Psychol. 2007;63(11):1091–103.

    Article  PubMed  Google Scholar 

  36. Hallion LS, et al. Psychometric Properties of the difficulties in emotion regulation scale (DERS) and its short forms in adults with emotional Disorders. Front Psychol. 2018;9:539.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Victor SE, Klonsky ED. Validation of a brief version of the difficulties in emotion regulation scale (DERS-18) in five samples. J Psychopathol Behav Assess. 2016;38(4):582–9.

    Article  Google Scholar 

  38. Kaufman EA, et al. The difficulties in emotion regulation Scale Short Form (DERS-SF): validation and replication in adolescent and adult samples. J Psychopathol Behav Assess. 2016;38(3):443–55.

    Article  Google Scholar 

  39. Bjureberg J, et al. Development and validation of a brief version of the difficulties in emotion regulation scale: the DERS-16. J Psychopathol Behav Assess. 2016;38(2):284–96.

    Article  PubMed  Google Scholar 

  40. Burton AL, Brown R, Abbott MJ. Overcoming difficulties in measuring emotional regulation: assessing and comparing the psychometric properties of the DERS long and short forms. Cogent Psychol. 2022;9(1):2060629.

    Article  Google Scholar 

  41. Bardeen JR, Fergus TA, Orcutt HK. An examination of the latent structure of the difficulties in emotion regulation scale. J Psychopathol Behav Assess. 2012;34(3):382–92.

    Article  Google Scholar 

  42. Moreira H, Gouveia MJ, Canavarro MC. A bifactor analysis of the Difficulties in Emotion Regulation Scale-Short Form (DERS-SF) in a sample of adolescents and adults. Current Psychology, 2020: p.1–26.

  43. Miguel FK, et al. A brazilian investigation of the 36- and 16-Item difficulties in emotion regulation scales. J Clin Psychol. 2017;73(9):1146–59.

    Article  PubMed  Google Scholar 

  44. Bjureberg J, et al. Extending research on emotion regulation individual therapy for adolescents (ERITA) with nonsuicidal self-injury disorder: open pilot trial and mediation analysis of a novel online version. BMC Psychiatry. 2018;18(1):326.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Bjureberg J, et al. Emotion regulation individual therapy for adolescents with nonsuicidal self-injury disorder: a feasibility study. BMC Psychiatry. 2017;17(1):411.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Charak R, et al. Assessment of the revised difficulties in emotion regulation scales among adolescents and adults with severe mental illness. Psychiatry Res. 2019;279:278–83.

    Article  PubMed  Google Scholar 

  47. Sörman K, et al. Measures of emotion regulation: convergence and psychometric properties of the difficulties in emotion regulation scale and emotion regulation questionnaire. J Clin Psychol. 2022;78(2):201–17.

    Article  PubMed  Google Scholar 

  48. Tull MT, et al. Exploring the role of sedentary behavior and physical activity in depression and anxiety symptom severity among patients with substance use disorders. Ment Health Phys Act. 2018;14:98–102.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Wilks CR, et al. A randomized controlled trial of an internet delivered dialectical behavior therapy skills training for suicidal and heavy episodic drinkers. J Affect Disord. 2018;232:219–28.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Westerlund M, Santtila P. A finnish adaptation of the emotion regulation questionnaire (ERQ) and the difficulties in emotion regulation scale (DERS-16). Nordic Psychol. 2018;70(4):304–23.

    Article  Google Scholar 

  51. Yiğit İ, Guzey M, Yiğit. Psychometric properties of turkish version of difficulties in emotion regulation scale-brief form (DERS-16). Curr Psychol. 2019;38(6):1503–11.

    Article  Google Scholar 

  52. Shahabi M, Hasani J, Bjureberg J. Psychometric properties of the brief persian version of the difficulties in emotion regulation scale (the DERS-16). Assess Effective Intervention. 2020;45(2):135–43.

    Article  Google Scholar 

  53. Merhi R, Kazarian S. Examination of two emotion regulation strategies in a lebanese community sample: validation of the arabic emotion regulation questionnaire (ERQ). J Psychol Clin Psychiatry. 2015;3(4):1–6.

    Article  Google Scholar 

  54. Kahwagi RM, et al. Emotion regulation among lebanese adults: validation of the emotion regulation questionnaire and association with attachment styles. Perspect Psychiatr Care. 2021;57(2):809–20.

    Article  PubMed  Google Scholar 

  55. Keshky M. Factor structure, reliability and validity of the arabic version of the emotion regulation questionnaire (ERQ) in a sample of saudi children and adolescents. Int J Psychol Behav Sci. 2018;8(2):22–30.

    Google Scholar 

  56. Jaafar JS, AL-Hadrawi HH, RELIABILITY AND VALIDITY OF THE ARABIC VERSION OF THE EMOTION REGULATION QUESTIONNAIRE (ERQ) SCALE. Turkish Journal of Physiotherapy and Rehabilitation. 32: p.3.

  57. Ford BQ, Mauss IB. Culture and emotion regulation. Current opinion in psychology, 2015. 3: p. 1–5.

  58. Megreya AM, et al. An integrative model of emotion regulation and associations with positive and negative affectivity across four arabic speaking countries and the USA. Motivation and Emotion. 2018;42(4):566–75.

    Article  Google Scholar 

  59. Obeid S, et al. Orthorexia nervosa and its association with alexithymia, emotion dysregulation and disordered eating attitudes among lebanese adults. Eat Weight Disord. 2021;26(8):2607–16.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Hambleton RK. The next generation of the ITC Test Translation and Adaptation Guidelines. Eur J Psychol Assess. 2001;17(3):164.

    Article  Google Scholar 

  61. Van de Vijver F, Tanzer NK. Bias and equivalence in cross-cultural assessment: an overview. Eur Rev Appl Psychol. 2004;54(2):119–35.

    Article  Google Scholar 

  62. Beaton DE, et al. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000;25(24):3186–91.

    Article  PubMed  Google Scholar 

  63. Poreh AM, et al. The BPQ: a scale for the assessment of borderline personality based on DSM-IV criteria. J Pers Disord. 2006;20(3):247–60.

    Article  PubMed  Google Scholar 

  64. Goueli T, Nasreldin M, Farouk M. The Borderline Personality Questionnaire (BPQ) Arabic version. Farouk M; 2016.

  65. Melki IS, et al. Household crowding index: a correlate of socioeconomic status and inter-pregnancy spacing in an urban setting. J Epidemiol Community Health. 2004;58(6):476–80.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Mundfrom DJ, Shaw DG, Ke TL. Minimum sample size recommendations for conducting factor analyses. Int J Test. 2005;5(2):159–68.

    Article  Google Scholar 

  67. Malhotra N, Dash S. Marketing Research: An Applied Orientation (; Pearson, Ed.). 2011, Delhi.

  68. Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct equation modeling: multidisciplinary J. 2007;14(3):464–504.

    Article  Google Scholar 

  69. Vadenberg R, Lance C. A review and synthesis of the measurement in variance literature: suggestions, practices, and recommendations for organizational research. Organ Res Methods. 2000;3:4–70.

    Article  Google Scholar 

  70. Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Model. 2002;9(2):233–55.

    Article  Google Scholar 

  71. Dunn TJ, Baguley T, Brunsden V. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. Br J Psychol. 2014;105(3):399–412.

    Article  PubMed  Google Scholar 

  72. McNeish D. Thanks coefficient alpha, we’ll take it from here. Psychol Methods. 2018;23(3):412.

    Article  PubMed  Google Scholar 

  73. Cohen J. Quantitative methods in psychology: a power primer. In psychological bulletin. Citeseer; 1992.

  74. Maalouf FT, et al. Mental health research in the arab region: challenges and call for action. Lancet Psychiatry. 2019;6(11):961–6.

    Article  PubMed  Google Scholar 

  75. Crutzen R, Peters GY. Scale quality: alpha is an inadequate estimate and factor-analytic evidence is needed first of all. Health Psychol Rev. 2017;11(3):242–7.

    Article  PubMed  Google Scholar 

  76. Giromini L, et al. Cultural adaptation of the difficulties in emotion regulation scale: reliability and validity of an italian version. J Clin Psychol. 2012;68(9):989–1007.

    Article  PubMed  Google Scholar 

  77. Rugancı RN, Gençöz T. Psychometric properties of a turkish version of the difficulties in emotion regulation scale. J Clin Psychol. 2010;66(4):442–55.

    PubMed  Google Scholar 

  78. Neumann A, et al. Multidimensional assessment of emotion regulation difficulties in adolescents using the difficulties in emotion regulation scale. Assessment. 2010;17(1):138–49.

    Article  PubMed  Google Scholar 

  79. Sarıtaş-Atalar D, Gençöz T, Özen A. Confirmatory factor analyses of the difficulties in emotion regulation scale (DERS) in a turkish adolescent sample. Eur J Psychol Assess. 2015;31(1):12.

    Article  Google Scholar 

  80. Weinberg A, Klonsky ED. Measurement of emotion dysregulation in adolescents. Psychol Assess. 2009;21(4):616.

    Article  PubMed  Google Scholar 

  81. Fischer AH, Manstead A. 4. The relation between gender and. Gender and emotion: Social psychological perspectives, 2000. 71.

  82. Anderson LK, et al. Differences in emotion regulation difficulties among adults and adolescents across eating disorder diagnoses. J Clin Psychol. 2018;74(10):1867–73.

    Article  PubMed  Google Scholar 

  83. Joormann J, Stanton CH. Examining emotion regulation in depression: a review and future directions. Behav Res Ther. 2016;86:35–49.

    Article  PubMed  Google Scholar 

  84. Tull MT, et al. A preliminary investigation of the relationship between emotion regulation difficulties and posttraumatic stress symptoms. Behav Ther. 2007;38(3):303–13.

    Article  PubMed  Google Scholar 

  85. Dingle GA, et al. Individual and interpersonal emotion regulation among adults with substance use disorders and matched controls. Br J Clin Psychol. 2018;57(2):186–202.

    Article  PubMed  Google Scholar 

  86. Weiss NH, Sullivan TP, Tull MT. Explicating the role of emotion dysregulation in risky behaviors: a review and synthesis of the literature with directions for future research and clinical practice. Curr Opin Psychol. 2015;3:22–9.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Gratz KL, Roemer L. The relationship between emotion dysregulation and deliberate self-harm among female undergraduate students at an urban commuter university. Cogn Behav Ther. 2008;37(1):14–25.

    Article  PubMed  Google Scholar 

  88. Tull MT, et al. The contribution of emotion regulation difficulties to risky sexual behavior within a sample of patients in residential substance abuse treatment. Addict Behav. 2012;37(10):1084–92.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Megreya AM, et al. The robustness of the nine-factor structure of the cognitive emotion regulation questionnaire across four arabic-speaking middle eastern countries. J Cross-Cult Psychol. 2016;47(6):875–90.

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank all participants.

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GK designed the study and collected the data, FFR drafted the manuscript; SH carried out the analysis and interpreted the results; all authors reviewed the final manuscript and gave their consent.

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Correspondence to Souheil Hallit.

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Fekih-Romdhane, F., Kanj, G., Obeid, S. et al. Psychometric properties of an Arabic translation of the brief version of the difficulty in emotion regulation scale (DERS-16). BMC Psychol 11, 72 (2023). https://0-doi-org.brum.beds.ac.uk/10.1186/s40359-023-01117-2

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