A number of instruments have been developed for the assessment of grief reactions. (For reviews, see Neimeyer, Hogan, & Laurie, 2008, and Neimeyer, 2017.) The Inventory of Complicated Grief (ICG; Prigerson Maciejewski, et al., 1995) is currently the most widely used instrument to assess symptoms of CG. The ICG is a self-report inventory developed to aid the discrimination between usual and complicated grief. The ICG comprises 19 items covering symptoms of grief that in a preceding study had shown themselves to be distinct from depression and anxiety (Prigerson, Frank, et al., 1995). In addition, grief-related items based on clinical experience regarding characteristics of maladaptive grief responses were included. As an overall strategy, items were selected to yield a unidimensional model of CG (Prigerson, Maciejewski, et al., 1995). In a sample of 97 widowed elderly (Prigerson, Maciejewski, et al., 1995), an exploratory factor analysis supported one underlying factor. Cronbach’s alpha of the ICG total score was .94. The test-retest reliability over a six-month period was .80. The correlations with the Beck Depression Inventory (Beck, Ward, Mendelson, Mock, & Erbaugh, 1961) and the Texas Revised Inventory of Grief (Faschingbauer, Zisook, & DeVaul, 1987) were .67 and .87, respectively. In the construction sample, participants with ICG scores higher than 25 (representing 20% of the sample) were found to have significantly poorer mental and physical health and lower social functioning than the participants scoring below this threshold. Hence, Prigerson, Maciejewski, et al. (1995) recommended a cutoff score of > 25 to distinguish between uncomplicated and complicated grief reactions. In some studies, a cutoff point of ≥ 30 for the ICG total score is applied (e.g., Shear et al., 2005). However, the empirical basis for this cutoff point is unclear.
Subsequent studies on the factor structure of the ICG have diverged in their findings: several studies have concluded with one underlying dimension (Carmassi et al., 2014; Han et al., 2016; Lumbeck, Brandstatter, & Geissner, 2012; Prigerson, Maciejewski, et al., 1995). Masferrer, Garre-Olmo, & Caparros (2017) reported four factors (discomfort, non-acceptance, loneliness/isolation, and presence of deceased). Simon et al. (2011) found one factor in their full bereaved sample and six factors in the group of participants diagnosed with CG (yearning and preoccupation with the deceased, anger and bitterness, shock and disbelief, estrangement from others, hallucinations of the deceased, and behavior change). Fisher et al. (2017) replicated five of the six factors of the Simon et al. (2011) study, all except for behavior change.
The ICG has been used in different areas of grief research. For example, the ICG has been employed to investigate the prevalence of CG in individuals in different bereavement groups (e.g., Dyregrov, Nordanger, & Dyregrov, 2003; Li, Chow, Shi, & Chan, 2015; Newson, Boelen, Hek, Hofman, & Tiemeier, 2011), to evaluate the outcome of grief-targeted treatments (e.g., Barbosa, Sa, & Rocha, 2014; Shear et al., 2014), or to examine correlates of CG (e.g., Arizmendi, Kaszniak, & O’Connor, 2016; Fernandez-Alcantara et al., 2016; Zetumer et al., 2015).
The psychometrics of translations of the ICG have been reported for some languages (e.g., Carmassi et al., 2014; Han et al., 2016; Lumbeck et al., 2012; Masferrer et al., 2017). The Norwegian version of the ICG has been used in several studies (e.g., Dyregrov, Dyregrov, & Kristensen, 2015; Dyregrov et al., 2003; Kristensen, Weisæth, Hussain, & Heir, 2015). However, a psychometric investigation of the ICG has not yet been undertaken in a Norwegian population. The purpose of the present study was to examine the reliability and factor structure of the Norwegian ICG. Further, the study aimed to explore the construct validity of the ICG by testing its relationships with symptoms of depression and anxiety, meaning made of the loss, and functional impairment.
Material and methods
The data used in the present investigation were compiled from three studies at the Department of Psychology at the University of Tromsø. The results of one of these studies have been published (Thimm & Holland, 2017). Participants in the three studies were recruited by email invitations sent to university students and employees at a local educational institution and via social media posts containing a link to an online survey. They responded anonymously to the study measures. Individuals grieving the loss of a loved one to death were invited to participate. There were no exclusion criteria. On the first page of the surveys, participants were informed about the purpose of the study, the researchers and how to contact them, the estimated time needed to complete the survey, voluntary and anonymous participation, and how to provide electronic consent (by completing and submitting the questionnaire in one study and by agreeing to an informed consent statement in two studies). Because no personally identifiable information was collected (including email or IP addresses), approval from the Regional Committee for Medical and Health Research Ethics was not required according to the Norwegian Health Research Act. In addition, the supplier of the online surveys (Questback) had no access to email addresses and IP addresses. Therefore, notification of the Norwegian Centre for Research Data was not required.
Since the number of bereaved who were reached by the invitation to participate is unknown, the response rate could not be determined. Participants grieving the loss of a pet or reporting multiple losses (n = 11) were excluded from the analyses. The final sample comprised 490 bereaved individuals. The participants’ mean age was 34.3 years (SD = 13.7 years), and 81% were female. On average, 90.7 months had passed since the death (SD = 101.8, data from 22 participants were missing on this variable). The mean age of the deceased was 52 years (SD = 25.5 years, one missing data point). Of the participants, 30.2% were grieving the loss of a grandparent, 29.8% a parent, 16.1% a friend, 6.9% a sibling, 5.9% a partner, 5.1% another relative, 2.7% a child, and 3.3% another person. The cause of death was natural expected (40.4%), natural sudden (28.2%), unnatural sudden (25.1%), and other (6.3%).
Inventory of Complicated Grief (ICG). As described above, the ICG is a 19-item self-report measure developed to assess complicated grief. Items are answered on a five-point frequency scale ranging from 0 (never) to 4 (always). The ICG was translated into Norwegian in the late 1990s by Atle Dyregrov in cooperation with the scale developer (A. Dyregrov, personal communication, February 19, 2019). The Norwegian ICG has subsequently been used in several published studies (e.g., Dyregrov et al., 2015; Dyregrov et al., 2003; Kristensen et al., 2015).
Brief Symptom Inventory (BSI). Symptoms of depression and anxiety were assessed with the respective six-item scales of the BSI (Derogatis, 1992). Items are scored on a five-point Likert scale from 0 (not at all) to 4 (extremely). In the present sample, the reliability coefficient omega total (ωt) was .92 for depression and .94 for anxiety, respectively. For 152 participants, the BSI depression scale was extracted from the depression scale of the Symptom Checklist 90-R (Derogatis, 2010). For all participants, data from the BSI depression scale were available, and 338 participants answered the BSI anxiety scale. Items were taken from the official Norwegian translation of the SCL-90-R (Derogatis, 2010).
Integration of Stressful Life Events Scale – Short Form (ISLES-SF). The ISLES-SF (Holland, Currier, & Neimeyer, 2014) is an abbreviated form of the 16-item ISLES (Holland, Currier, Coleman, & Neimeyer, 2010) and consists of six items that are scored on a five-point scale from 1 (strongly agree) to 5 (strongly disagree). The ISLES/ISLES-SF assesses meaning made after a stressful life event (e.g., “The loss is incomprehensible to me.”). Lack of integration has shown to be highly correlated with symptoms of CG (Holland et al., 2010). The ISLES was translated into Norwegian using the translation-backtranslation method (Thimm & Holland, 2017). The ISLES was administered to 151 participants, and the items of the ISLES-SF were extracted from the full form for these participants. The ISLES-SF was completed by 187 participants. In the current study, the ISLES-SF had a reliability ( ωt) of .95.
Work and Social Adjustment Scale (WSAS). The WSAS (Mundt, Marks, Shear, & Greist, 2002) is a widely used five-item scale designed to assess functional impairment in connection with mental disorders. Items are rated on a nine-point Likert scale from 0 (not at all) to 8 (severely impaired). The WSAS was administered to 187 participants. In the present study, the scale had an ωt of .96. The WSAS has previously been used in published studies in Norway (e.g., Dyregrov et al., 2015; Pedersen, Kvarstein, & Wilberg, 2017). Unfortunately, information about the translation of the WSAS into Norwegian is not provided in these publications.
Descriptives of the sample and the ICG and correlations of the ICG with the depression and anxiety subscales of the BSI, the ISLES-SF, and the WSAS were calculated in SPSS 24. The psych package 1.7.5 (Revelle, 2017) was used in R 3.4.1 to compute item-total correlations and the reliability coefficient ωt and to test differences between correlations. To determine the number of factors to be extracted in the exploratory factor analysis (EFA) of the ICG items, parallel analysis and Velicer’s Minimum Average Partial (MAP) test (Horn, 1965) was conducted using O’Connor’s (2000) SPSS macro. The EFA was performed in Mplus 7.4 (Muthén & Muthén, 1998–2012) with weighted least square mean and variance (WLSMV) estimation and oblique CF-Equamax rotation. CF-Equamax rotation was chosen because it aims at simplifying variable and factor complexity by spreading variances equally across the factors (Browne, 2001; Schmitt & Sass, 2011). Model fit was evaluated with the root mean square error of approximation (RMSEA), the comparative fit index (CFI), and the Tucker Lewis index (TLI). Omega hierarchical (ωh) was calculated using the psych package to estimate the proportion of variance that is explained by the general factor in a bifactor model. Reise, Bonifay, and Haviland (2013) suggest that ωh should be at least .50 and preferably be closer to .75 to justify the use of a total score in multidimensional scales. Finally, tests of the differences between the ICG factors and the depression and anxiety subscales of the BSI, the ISLES-SF, and the WSAS (Steiger Tests) were conducted in the psych package.
In the current sample, the ICG total score had a mean of 21.72 (SD = 12.86). The mean scores of the ICG items and the proportion of endorsement (i.e., experiencing a given symptom at least sometimes) are displayed in Table 1. The items that had the highest means and that were most frequently endorsed were longing for the deceased (M = 2.57, 87%) and feeling drawn to places associated with the deceased (M = 1.73, 59%). The least frequently endorsed symptoms were having lost the ability to care about other people (M = 0.53, 14%), feeling that it is unfair that one should live when the other person died (M = 0.53, 15%), avoiding reminders of the deceased (M = 0.53, 16%), and difficulties trusting other people (M = 0.57, 16%). The reliability coefficient ωt was .95. Item-total correlations are also shown in Table 1 and ranged from .40 (item 15) to .72 (item 13).
The MAP test and parallel analysis indicated unequivocally extracting three factors from the ICG items. The first four observed eigenvalues were 7.417, 1.816, 1.361, and 0.981. The fourth eigenvalue was lower than one could expect from random data (1.365, 1.293, 1.242, and 1.198). The three-factor solution also showed the lowest average partial correlation. The first four values were 0.024, 0.020, 0.018, and 0.021, respectively. The model with three factors fit the data reasonably well (RMSEA = .07, CFI = .97, TLI = .96). The three-factor model showed a better model fit than a model with one factor (RMSEA = .12, CFI = .86, TLI = .84). Comparisons between the three-factor model and the two-factor model and between the two-factor model and the one-factor model showed significant differences, χ2 (17) = 225.88, p < .001, and χ2 (18) = 401.03, p < .001, respectively. As shown in Table 1, the first factor was primarily defined by items assessing disbelief and bitterness and labeled disbelief/bitterness accordingly. The second factor was mainly represented by difficulties trusting other people and feeling distant from people one cares about. This factor was labeled detachment. The third factor was labeled yearning/hallucinations and was primarily characterized by items measuring seeing and hearing the deceased and longing for the deceased. Three ICG items showed substantial cross-loadings (≥ .30): item 2 (primary loading on disbelief/bitterness) and items 1 and 13 (primary loading on yearning/hallucinations) loaded on detachment. The latent factors showed moderate to high correlations. Disbelief/bitterness was correlated with detachment (r = .51) and yearning/hallucinations (r = .38). The correlation between detachment and yearning/hallucinations was r = .34. The coefficient ωh was .73, indicating that 77% of the reliable variance (ωh divided by ωt) could be attributed to a general factor.
The correlations of the ICG total score and the three ICG factors with depression, anxiety, functional impairment, and integration of the loss are displayed in Table 2, showing moderate to high associations. Significance tests of differences between the correlations of the ICG factors with the validity measures revealed that detachment was more strongly related to depression, anxiety, and functional impairment than disbelief/bitterness and yearning/hallucinations. Further, detachment and disbelief/bitterness were more highly correlated with difficulties integrating the loss than yearning/hallucinations (all p < .01).
The purpose of the current study was to investigate the psychometric properties of the ICG in a Norwegian bereaved sample. To this aim, the reliability, factor structure, and associations of the ICG with depression, anxiety, meaning making, and functional impairment were examined.
Similar to earlier studies on the ICG in non-U.S. samples (e.g., Carmassi et al., 2014; Han et al., 2016; Lumbeck et al., 2012; Masferrer et al., 2017), the Norwegian ICG showed high reliability. Moreover, all items exhibited item-total correlations that are well above the commonly used threshold of .30. The finding that longing for the deceased was the most frequently endorsed item supports the idea that yearning is a core symptom of CG (Shear, 2015).
Exploratory factor analysis of the ICG items yielded three factors that were labeled disbelief/bitterness, detachment, and yearning/hallucinations, based on the symptoms with the highest loadings on these factors. The three-factor solution had an adequate model fit and overall simple structure with only three items showing substantial cross-loadings. In the present sample, the disbelief and anger/bitterness factors as well as the hallucinations and yearning factors of the Simon et al. (2011) and Fisher et al. (2017) studies clustered in one factor each. As in the Fisher et al. (2017) study, the behavior change factor from the Simon et al. (2011) study did not emerge as a separate factor. The two items that defined this factor loaded in the current study on detachment (avoidance of the reminders of the deceased) and yearning/hallucinations (feeling drawn to places associated with the deceased), respectively. Previous studies on the factor structure of the ICG varied greatly in their conclusions, ranging from one (e.g., Lumbeck et al., 2012; Prigerson, Maciejewski, et al., 1995) to six factors (Simon et al., 2011). In these studies, the number of factors extracted was not related to whether the sample was composed of general bereaved individuals or participants diagnosed with CG. For example, Lumbeck et al. (2012) concluded with one factor using a sample of psychosomatic patients with CG, whereas Masferrer et al. (2017) found four factors in a sample of bereaved substance abusers. Rather, decisions made in the factor analytic process may, at least in part, account for the divergent findings. For example, Simon et al. (2011) found in their general bereaved sample three factors with eigenvalues larger than 1 but deemed only the first factor interpretable. Lumbeck et al. (2012) reported that five factors had eigenvalues larger than 1, but relying on the MAP test, they also concluded with one factor. Thus, although the ICG was constructed as a unidimensional measure, findings from several studies, including the current investigation, suggest that CG is a multidimensional construct. However, the results of the present study also indicate that the use of the ICG total score is justified. The index ωh (.73) was close to the threshold of .75 suggested by Reise et al. (2013), which supports the calculation and interpretation of the total score of the ICG.
The moderate to high correlations of the ICG total score with symptoms of anxiety and depression align with previous findings, demonstrating that CG overlaps with depression and anxiety disorders but is distinguishable from these diagnoses (e.g., Boelen et al., 2010; Simon et al., 2007). The examination of the ICG factors showed that detachment in particular is associated with symptoms of depression and anxiety. This finding is in accordance with research showing that loneliness is an important link between bereavement and depression (e.g., Fried et al. 2015). Further, strong negative associations of the ICG with integration of the loss are in line with cognitive-behavioral (e.g., Boelen, van den Hout, & van den Bout, 2006) and constructivist approaches to CG (Gillies & Neimeyer, 2006). Therein, a lack of integration is proposed to be central to the understanding of CG reactions, a tendency that replicates previous empirical findings (e.g., Boelen, 2010; Holland et al., 2010). Finally, the high correlation of the ICG with the WSAS underscores the functional impairment that is associated with CG. Taken together, in the current study, the Norwegian ICG showed good external validity.
This study supports the use of the ICG in bereaved populations in Norway.
In conclusion, the findings of the present study suggest that the Norwegian ICG has good reliability and adequate factorial validity. A factor analysis of the ICG items yielded three factors that align with previous findings. The Norwegian ICG showed external validity with respect to associations with depression, anxiety, meaning made of the loss, and functional impairment. The results of the current investigation support the use of the ICG in bereaved populations in Norway.
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