Structural Validity of Negative Self-association Model in Attempting Nonsuicidal Self-injury

authors:

avatar Ehsan Taheri 1 , avatar Farhad Taremian ORCID 1 , * , avatar Behrooz Dolatshahi ORCID 1 , avatar Hassan Mohagheghi 2 , avatar Majid Zarei 3

Department of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, IR Iran
Faculty of Psychology and Education, Allameh Tabataba'i University, Tehran, IR Iran
Department of Education, 3rd District of Karaj, Karaj, IR Iran

how to cite: Taheri E, Taremian F, Dolatshahi B, Mohagheghi H, Zarei M. Structural Validity of Negative Self-association Model in Attempting Nonsuicidal Self-injury. Int J High Risk Behav Addict. 2022;11(4):e115624. https://doi.org/10.5812/ijhrba-115624.

Abstract

Background:

Nonsuicidal self-injury (NSSI) is the direct and deliberate destruction of one’s own body tissue without suicidal intent. This prevalent behavior can have physical, psychological, and social consequences.

Objectives:

This study aimed to explain NSSI in adolescents based on Hooley’s negative self-association model.

Materials and Methods:

The sample consisted of 223 high school students in public schools in Tehran province, of whom 63 were self-injured and 160 were non-self-injured. The subjects were selected by purposive sampling. The data were gathered using the Deliberate Self-harm Inventory (DSHI), Forms of Self-criticism/Attacking and Self-reassuring Scale (FSCRS), Emotional Avoidance Strategy Inventory for Adolescents (EASI-A), Self-punishment Scale (SPS), Self-injury Implicit Association Test (SI-IAT), and General Health Questionnaire (GHQ). Data analysis was performed based on structural equation modeling (SEM) using the statistical software IBM SPSS AMOS v22.0.

Results:

The SEM indicated that among the goodness of fit indices, CFI, TLI, and RMSEA were in the desired range. Negative self-association played a central role in NSSI attempts. There was a significant relationship (P < 0.05) between self-punishment and self-injury. Negative associations made people more inclined to avoid negative emotions, but no significant relationship was found with NSSI. However, the path of negative self-association and its relationship with accessibility to and identification with self-injury and attempt to NSSI did not have enough significance and led to a decrease in the model’s fit.

Conclusions:

Consistent with the findings of research conducted in the field of self-injury, this study showed that negative self-associations play a central role in attempting NSSI. The results of this study provide a new guideline for designing prevention and treatment programs for self-injuring behavior.

1. Background

Nonsuicidal self-injury (NSSI) is often seen as superficial and frequent incisions on body tissue with a sharp object (razor, scissors, needle, knife, nail clipper, etc.). Among people who engaged in NSSI, 70% reported skin-cutting (1), around 21% to 44% hitting oneself, and 15% to 35% skin burns (2). Nonsuicidal self-injury has been defined as the intentional destruction of body tissue without suicidal intent (3). Self-harm usually manifests itself in adolescence, and there is no difference in prevalence between genders, races, and economic situations (4, 5). A comprehensive study identified self-harm as a major problem among adolescents worldwide (6, 7).

Numerous models have been proposed to explain the onset and persistence of self-injury. Therapies based on these models have failed to provide empirical support for self-injury therapy (8, 9). Other evidence suggests that some mechanisms are not included in these models while they may play an important role in self-injury (10). One of the new models in explaining the causes of self-injury is the negative self-association model proposed by Hooley and St. Germain (11). In this model (Figure 1), to create a new conceptual approach, empirically supported mechanisms have been combined with new mechanisms in previous models (10).

Negative self-association model and nonsuicidal self-injury
Negative self-association model and nonsuicidal self-injury

2. Objectives

To better understand NSSI, it is essential to examine it in a cultural context. A study of NSSI in Iran may reveal its different patterns. Therefore, in the present study, a model examined the role of negative self-association, avoidance of negative feelings, self-punishment beliefs, implicit association, and identification in the formation of NSSI in adolescents (Figure 1). This study was conducted to investigate the structural validity of the negative self-association model. The current study hypothesized that negative self-association is correlated with NSSI, the desire to escape unpleasant feelings, the belief that one deserves pain and punishment, and greater accessibility to thoughts and identification with self-injury.

3. Materials and Methods

This is a cross-sectional descriptive study. The statistical population included students living in Tehran province in 2019 - 2020. Inclusion criteria required the clinical sample to have (1) a history of NSSI not due to street fighting (interview); (2) age 13 to 18 years; and (3) Persian literacy. Inclusion criteria required the comparison group to have (1) 13 to 18 years old and (2) the ability to read and write Persian. Exclusion criteria required the clinical sample to (1) be dissatisfied with the study and (2) have the presence of psychosis (through a clinical interview). The exclusion criteria required the comparison group to be dissatisfied with the study participation.

3.1. Procedure

Initially, the State Punishment Scale (SPS) and the Emotional Avoidance Strategy Inventory for Adolescents (EASI-A), which were not translated in Iran, were translated by the researcher under the supervision of the supervisor and twice edited by the supervisor and counselors. Then, these questionnaires were presented to several professors of the University of Social Welfare and Rehabilitation Sciences in Tehran and first-semester students to examine the questions psychologically and resolve possible ambiguities. In the next step, in order to assess internal consistency, questionnaires were administered to 50 adolescents. In the present study, the internal consistency coefficients were 0.88 for SPS and 0.72 for EASI-A. Next, the original version of the Implicit Association Test (IAT) computer test in English was downloaded from Dr. Nock’s site (link: nocklab.fas.harvard.edu), and after installation on the laptop, it was reviewed and analyzed by the tutor (Farhad Taremian). After a detailed understanding of how to evaluate and the number of test steps, coordination was done with one of the programmers to make a Persian version of the test. After six edits, the Persian IAT test was finally made according to the original version of the test.

In order to select the boys’ sample, the necessary coordination was made with the principals of three boys’ schools in the 17th district of Tehran and one boys’ school in the city of Rey. After receiving the code of ethics, a letter was issued from the University of Social Welfare and Rehabilitation Sciences to the security of education in District 2 of Rey city to select the sample of girls. Then, the data collection continued in schools with higher rates of reported NSSI. These schools included five girls’ schools and the Ray City Counseling Center affiliated with District 2 Education.

3.2. Instruments

The study measures included (1) the Deliberate Self-Harm Inventory (DSHI) (12); (2) the Forms of Self-criticism/Attacking and Self-reassuring Scale (FSCRS) (13); (3) the Emotional Avoidance Strategy Inventory for Adolescents (EASI-A) (14); (4) state Punishment Scale (SPS); (5) self-injury Implicit Association Test (SI-IAT) (15) (as shown in Figure 2, at each stage of the test, the categories are displayed on both sides of the screen and the subject’s reaction time in the combined steps is the basis for judging the test result); and (6) general Health Questionnaire (GHQ) (16).

An example of performing Self-injury Implicit Association Test
An example of performing Self-injury Implicit Association Test

In the current study, data analysis and modeling were performed based on structural equation modeling (SEM) using the statistical software IBM SPSS AMOS v24.0. This study performed a Confirmatory Factor Analysis (CFA) to test the measurement model and the constructs of the SPS and EASI-A. A P-value less than 0.05 was considered statistically significant.

4. Results

First, the demographic characteristics of the participants are examined. Table 1 shows the age, sex, and status of the participants.

Table 1.

Sample Characteristics

VariablesNo. (%)
Age
1319 (8.5)
1429 (13)
1553 (23.8)
1656 (25.1)
1744 (19.7)
1820 (9)
192 (0.9)
Gender
Boys108 (48.4)
Girls115 (51.6)
Participants
NSSI63 (71.7)
Non-NSSI160 (28.3)
Ratio of NSSI
Boys30 (47.6)
Girls33 (52.4)

As seen in Table 1, about 25% of the subjects were 16 years old, and 8.5% were 13 years old. Regarding sex distribution, more than half of the participants (51.6%) were girls. Also, 52% of self-harm individuals were girls.

In Figure 3, the numbers shown on the paths are standardized coefficients. The standardized coefficients are the same as the model coefficients that have been transferred to the range of -1 to 1, so it is possible to compare them for different variables.

Measurement model after modifying
Measurement model after modifying

Measurement model results (standardized coefficient, standard deviation, and P-value) are shown in Table 2.

Table 2.

Measurement Model Results

Latent Variable and Observed Variable SymbolStandardized CoefficientStandard DeviationtP-Value
DEUF
f.EA10.304
f.EA20.7440.9862.6830.007
f.EA30.4260.2543.2640.001
NSA
f.FCS10.686
f.FCS20.6140.117.8580.000
f.FCS30.8730.1188.6770.000
BDPP
SP10.706
SP20.7360.08712.2140.000
SP30.70.1019.990.000
SP40.1590.1012.2820.023
SP50.7040.10710.070.000
SP60.7070.10410.1160.000
SP70.8550.09611.8540.000
SP80.830.12111.3620.000
SP90.6810.1059.7240.000
SP100.1650.0872.3820.017
SP110.7510.10210.6350.000
SP120.5080.1047.2630.000

As can be seen from Table 3, all indices are in the good range. Therefore, the goodness of the measurement model is confirmed.

Table 3.

Fit Indices for the Measurement Model

IndicesSymbolIndices ValueGood Value
Comparative fit indexCFI0.925More than 0.90
Tucker-Lewis coefficientTLI0.909More than 0.90
Root mean square error of approximationRMSEA0.067Less than 0.08
Chi-square/degree of freedomχ2/df1.992Less than 3

According to the results of the model (Figure 4), P-value is significant (P < 0.05) for all coefficients of the observed variables, and therefore all these coefficients are significant.

Structural model of the research
Structural model of the research

In Table 4, the path between the hidden variables in the structural model is presented.

Fit indices for the structural model are presented in Table 5. All indices are in the good range. Therefore, the goodness of the structural model is confirmed.

Table 4.

The Path Between Hidden Variables in the Structural Model

PathStandardized Path CoefficientStandard DeviationtP Value
Negative self-association > belief that one deserves pain and punishment0.5440.0186.20.001
Negative self-association > desire to escape unpleasant feelings0.2840.0472.4560.014
Negative self-association > nonsuicidal self-injury0.3810.0523.9660.001
Negative self-association > greater accessibility to and identification with self-injury 0.0210.0190.280.78
Belief that one deserves pain and punishment > nonsuicidal self-injury0.6970.2686.9120.001
Desire to escape unpleasant feelings > nonsuicidal self-injury0.0850.1490.7630.446
Greater accessibility to and identification with self-injury > nonsuicidal self-injury0.1000.1381.5320.126
Table 5.

Fit Indices for the Structural Model

IndicesSymbolIndices ValueGood Value
Comparative fit indexCFI0.910More than 0.90
Tucker-Lewis coefficientTLI0.893More than 0.90
Root mean square error of approximationRMSEA0.069Less than 0.08
Chi-square/degree of freedomχ2/df2.043Less than 3

5. Discussion

This study aimed to explain NSSI in adolescents based on Hooley’s negative self-association model. This study showed a positive relationship between negative self-association and attempting NSSI. This finding agrees with the findings of Suneja (17), Glassman, et al. (18), and Gilbert et al. (19). According to the proposed model by Hooley and Franklin (10), people who have a negative relationship with themselves and engage in extreme self-criticism are more likely to be exposed to self-injurious behaviors (10).

The present study revealed a positive relationship between the negative self-association model and the tendency to avoid unpleasant emotions. This finding is compatible with the findings of Rosenthal et al. (20). Negative relationship with oneself creates a state in a person who wants to escape from unpleasant feelings. Avoiding unpleasant emotions reduces pain, fear, tension, and anxiety and ultimately reinforces escape and avoidance behaviors (21).

This study showed a positive relationship between the negative self-association model and creating the belief that a person deserves pain and punishment. This finding is consistent with the findings of Gratz (12) and Gratz and Roemer (22). When something unpleasant happens, the person feels he is personally responsible for it and ignores all the external factors that cause it. In these cases, instead of saying, “This is the wrong way to do it”, and “Next time I will try another method”, he says, “I am weak, helpless, and incompetent”. In this way, the person does not focus on the behavior that has been problematic and what he or she can do to correct it (23).

The current study showed no significant relationship between the negative self-association model and greater access to NSSI thoughts. This finding is inconsistent with Smith et al. (24). People with negative self-association set high standards for themselves that if they are not met, they blame themselves. Self-blame individuals also appear skeptical of their actions, react negatively to perceived failures, and strongly blame themselves (24).

The present study demonstrated no significant relationship between the tendency to avoid negative emotions and attempting NSSI. This finding aligns with Anderson and Crowther (25) and Kingston et al. (21). The tendency to avoid negative emotions over time in people’s lives causes a defect in adapting to stressful situations. This means that the person avoids a situation or action to reduce their anxiety, which in the long run causes stress and anxiety (21).

This study suggested a positive relationship between the belief that a person deserves pain and punishment and attempting NSSI. This is consistent with Schoenleber et al. (26), Klonsky and Muehlenkamp (27), and Hooley et al. (28). People with a history of self-harm negatively evaluate their past and ability to act in the future and always consider self-criticism and expectation of failure in the outcome of things (26).

The current study indicated no significant relationship between greater accessibility to thoughts and mental associations with NSSI. This pattern is in agreement with previous studies on SI-IAT (29). Based on the cognitive view, the essence of learning and intelligence, in general, is the ability to represent different aspects of the world in his mind and then operate on these mental representations instead of the outside world. Also, according to the theory of the human mind, it is evoked by internal mental states such as beliefs, desires, or intentions. In fact, it can be noted that a person’s thoughts and mental associations can significantly impact his behavior and actions (30).

The current study is limited in that data were self-reported and cross-sectional, preventing the examination of causal hypotheses. This research was conducted on students, so the generalization of its results to other sections of society and people in other regions should be made with caution. It is suggested that to validate the findings of the present study, further research be done on students in other cities, variables be examined with a comparative approach in different samples, and more research be conducted on the translation and ambiguity of the questionnaire questions used in this dissertation.

5.1. Conclusions

The results of this study revealed that negative self-associations play a central role in attempting NSSI. This is consistent with the findings of research conducted in the field of self-injury. The results of this study provide a new guideline for designing prevention and treatment programs for self-injuring behavior. In this study, the computer test of implicit associations was used for the first time, paving the way for the next researchers to use this tool in the future. Also, using the general mental health questionnaire in the section entitled Side Findings of the study, we tried to estimate the mental health status of the self-injured group and compare it with the non-self-injured group. Based on the findings of this study, NSSIs were highly correlated with each other and with suicide attempt, but our information about the time course of occurrence of these behaviors is obscure and limited. Accordingly, it is suggested to examine the course and time sequence of direct and indirect self-harm and suicide attempt in adolescents. It is also suggested that research with a comparative approach be conducted in different samples in other cities.

References

  • 1.

    Briere J, Gil E. Self-mutilation in clinical and general population samples: prevalence, correlates, and functions. Am J Orthopsychiatry. 1998;68(4):609-20. [PubMed ID: 9809120]. https://doi.org/10.1037/h0080369.

  • 2.

    Nijman HL, Dautzenberg M, Merckelbach HL, Jung P, Wessel I, del Campo JA. Self-mutilating behaviour of psychiatric inpatients. Eur Psychiatry. 1999;14(1):4-10. [PubMed ID: 10572319]. https://doi.org/10.1016/s0924-9338(99)80709-3.

  • 3.

    Nock MK. Why do People Hurt Themselves? New Insights Into the Nature and Functions of Self-Injury. Curr Dir Psychol Sci. 2009;18(2):78-83. [PubMed ID: 20161092]. [PubMed Central ID: PMC2744421]. https://doi.org/10.1111/j.1467-8721.2009.01613.x.

  • 4.

    Muehlenkamp JJ, Claes L, Havertape L, Plener PL. International prevalence of adolescent non-suicidal self-injury and deliberate self-harm. Child Adolesc Psychiatry Ment Health. 2012;6:10. [PubMed ID: 22462815]. [PubMed Central ID: PMC3348041]. https://doi.org/10.1186/1753-2000-6-10.

  • 5.

    Swannell SV, Martin GE, Page A, Hasking P, St John NJ. Prevalence of nonsuicidal self-injury in nonclinical samples: systematic review, meta-analysis and meta-regression. Suicide Life Threat Behav. 2014;44(3):273-303. [PubMed ID: 24422986]. https://doi.org/10.1111/sltb.12070.

  • 6.

    Evans E, Hawton K, Rodham K, Deeks J. The prevalence of suicidal phenomena in adolescents: a systematic review of population-based studies. Suicide Life Threat Behav. 2005;35(3):239-50. [PubMed ID: 16156486]. https://doi.org/10.1521/suli.2005.35.3.239.

  • 7.

    Schmidtke A, Bille-Brahe U, DeLeo D, Kerkhof A, Bjerke T, Crepet P, et al. Attempted suicide in Europe: rates, trends and sociodemographic characteristics of suicide attempters during the period 1989-1992. Results of the WHO/EURO Multicentre Study on Parasuicide. Acta Psychiatr Scand. 1996;93(5):327-38. [PubMed ID: 8792901]. https://doi.org/10.1111/j.1600-0447.1996.tb10656.x.

  • 8.

    Gonzales AH, Bergstrom L. Adolescent non-suicidal self-injury (NSSI) interventions. J Child Adolesc Psychiatr Nurs. 2013;26(2):124-30. [PubMed ID: 23607824]. https://doi.org/10.1111/jcap.12035.

  • 9.

    Glenn CR, Franklin JC, Nock MK. Evidence-based psychosocial treatments for self-injurious thoughts and behaviors in youth. J Clin Child Adolesc Psychol. 2015;44(1):1-29. [PubMed ID: 25256034]. [PubMed Central ID: PMC4557625]. https://doi.org/10.1080/15374416.2014.945211.

  • 10.

    Hooley JM, Franklin JC. Why Do People Hurt Themselves? A New Conceptual Model of Nonsuicidal Self-Injury. Clin Psychol Sci. 2017;6(3):428-51. https://doi.org/10.1177/2167702617745641.

  • 11.

    Hooley JM, St. Germain SA. Nonsuicidal Self-Injury, Pain, and Self-Criticism. Clin Psychol Sci. 2013;2(3):297-305. https://doi.org/10.1177/2167702613509372.

  • 12.

    Gratz KL. Measurement of Deliberate Self-Harm: Preliminary Data on the Deliberate Self-Harm Inventory. J Psychopathol Behav Assess. 2001;23:253–263. https://doi.org/10.1023/A:1012779403943.

  • 13.

    Gilbert P, Clarke M, Hempel S, Miles JN, Irons C. Criticizing and reassuring oneself: An exploration of forms, styles and reasons in female students. Br J Clin Psychol. 2004;43(Pt 1):31-50. [PubMed ID: 15005905]. https://doi.org/10.1348/014466504772812959.

  • 14.

    Kennedy SM, Ehrenreich-May J. Assessment of Emotional Avoidance in Adolescents: Psychometric Properties of a New Multidimensional Measure. J Psychopathol Behav Assess. 2016;39(2):279-90. https://doi.org/10.1007/s10862-016-9581-7.

  • 15.

    Greenwald AG, McGhee DE, Schwartz JL. Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol. 1998;74(6):1464-80. [PubMed ID: 9654756]. https://doi.org/10.1037//0022-3514.74.6.1464.

  • 16.

    Goldberg DP, Hillier VF. A scaled version of the General Health Questionnaire. Psychol Med. 1979;9(1):139-45. [PubMed ID: 424481]. https://doi.org/10.1017/s0033291700021644.

  • 17.

    Suneja A. Associations Among Shame, Self-Punishment and Non-Suicidal Selfinflicted Injury in Individuals With Childhood Sexual Abuse Trauma [dissertation]. Alhambra, USA: Alliant International University; 2018.

  • 18.

    Glassman LH, Weierich MR, Hooley JM, Deliberto TL, Nock MK. Child maltreatment, non-suicidal self-injury, and the mediating role of self-criticism. Behav Res Ther. 2007;45(10):2483-90. [PubMed ID: 17531192]. [PubMed Central ID: PMC2034449]. https://doi.org/10.1016/j.brat.2007.04.002.

  • 19.

    Gilbert P, McEwan K, Irons C, Bhundia R, Christie R, Broomhead C, et al. Self-harm in a mixed clinical population: the roles of self-criticism, shame, and social rank. Br J Clin Psychol. 2010;49(Pt 4):563-76. [PubMed ID: 20109278]. https://doi.org/10.1348/014466509X479771.

  • 20.

    Rosenthal MZ, Cukrowicz KC, Cheavens JS, Lynch TR. Self-punishment as a regulation strategy in borderline personality disorder. J Pers Disord. 2006;20(3):232-46. [PubMed ID: 16776553]. https://doi.org/10.1521/pedi.2006.20.3.232.

  • 21.

    Kingston J, Clarke S, Remington B. Experiential avoidance and problem behavior: a mediational analysis. Behav Modif. 2010;34(2):145-63. [PubMed ID: 20308355]. https://doi.org/10.1177/0145445510362575.

  • 22.

    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. [PubMed ID: 18365795]. https://doi.org/10.1080/16506070701819524.

  • 23.

    Laukkanen E, Rissanen ML, Honkalampi K, Kylma J, Tolmunen T, Hintikka J. The prevalence of self-cutting and other self-harm among 13- to 18-year-old Finnish adolescents. Soc Psychiatry Psychiatr Epidemiol. 2009;44(1):23-8. [PubMed ID: 18604615]. https://doi.org/10.1007/s00127-008-0398-x.

  • 24.

    Smith NB, Steele AM, Weitzman ML, Trueba AF, Meuret AE. Investigating the role of self-disgust in nonsuicidal self-injury. Arch Suicide Res. 2015;19(1):60-74. [PubMed ID: 25010258]. https://doi.org/10.1080/13811118.2013.850135.

  • 25.

    Anderson NL, Crowther JH. Using the experiential avoidance model of non-suicidal self-injury: understanding who stops and who continues. Arch Suicide Res. 2012;16(2):124-34. [PubMed ID: 22551043]. https://doi.org/10.1080/13811118.2012.667329.

  • 26.

    Schoenleber M, Berenbaum H, Motl R. Shame-related functions of and motivations for self-injurious behavior. Personal Disord. 2014;5(2):204-11. [PubMed ID: 24364497]. https://doi.org/10.1037/per0000035.

  • 27.

    Klonsky ED, Muehlenkamp JJ. Self-injury: a research review for the practitioner. J Clin Psychol. 2007;63(11):1045-56. [PubMed ID: 17932985]. https://doi.org/10.1002/jclp.20412.

  • 28.

    Hooley JM, Ho DT, Slater J, Lockshin A. Pain perception and nonsuicidal self-injury: a laboratory investigation. Personal Disord. 2010;1(3):170-9. [PubMed ID: 22448633]. https://doi.org/10.1037/a0020106.

  • 29.

    Nock MK, Banaji MR. Assessment of self-injurious thoughts using a behavioral test. Am J Psychiatry. 2007;164(5):820-3. [PubMed ID: 17475742]. https://doi.org/10.1176/ajp.2007.164.5.820.

  • 30.

    Favazza AR. Self-injurious behavior in college students. Pediatrics. 2006;117(6):2283-4. [PubMed ID: 16740877]. https://doi.org/10.1542/peds.2006-0840.