- Research article
- Open Access
Cross-cultural validation of the German and Turkish versions of the PHQ-9: an IRT approach
BMC Psychology volume 6, Article number: 26 (2018)
The Patient Health Questionnaire’s depression module (PHQ-9) is a widely used screening tool to assess depressive disorders. However, cross-linguistic and cross-cultural validation of the PHQ-9 is mostly lacking. This study investigates whether scores on the German and Turkish versions of the PHQ-9 are comparable.
Data from Germans without a migration background (German version, n = 1670) and Turkish immigrants in Germany (either German or Turkish version, n = 307) were used. Differential Item Functioning (DIF) was assessed using Item Response Theory (IRT) models.
Several items of the PHQ-9 were found to exhibit DIF related to language or ethnicity, e.g. ‘sleep problems’, ‘appetite changes’ and ‘anhedonia’. However, PHQ-9 sum scores were found to be unbiased, i.e., DIF had no notable impact on scale levels.
PHQ-9 sum scores can be compared between Turkish immigrants and Germans without a migration background without any adjustments, regardless of whether they complete the German or the Turkish version.
Depression is a highly prevalent disorder leading to suffering and disability [1, 2]. It is predicted to be the major cause of burden of disease by 2020 . Differences exist across countries and ethnic groups in epidemiology [4,5,6,7] and symptom presentation [8,9,10] of depressive disorders. Many cross-cultural studies applied self-report questionnaires to assess and describe the phenomenology of depressive disorders. However, cross-linguistic and cross-cultural validation of self-report questionnaires is mostly lacking. Such validation analyses are urgently needed for a valid comparison of prevalence rates and symptom profiles of depressive disorders across linguistic and ethnic groups . Among self-report questionnaires for assessing depression, the Patient Health Questionnaire-9 (PHQ-9) [12, 13] is one of the most frequently used and best validated questionnaires worldwide [14,15,16]. It is recommended as a general measure of depression severity by the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, 5th Edition)  and has been translated into over 70 languages and dialects . In the present study, we investigate whether PHQ-9 scores are comparable between the German majority population without a migration background and the largest minority group in Germany, Turkish immigrants .
To our knowledge, only three studies have investigated the comparability of different language versions of the PHQ-9: Huang and colleagues  found differences in item functioning between the English and Chinese version of the items assessing sleep, appetite, and psychomotor changes in a large sample of primary care patients. Comparing the English and Spanish version, they also found differences in sleep and appetite items, plus anhedonia and self-esteem items. Arthurs and colleagues  found differences between the English and French version for anhedonia, sleep, and self-esteem items in patients with systemic sclerosis. Comparing the German and Russian version in primary care patients , a difference in item functioning was found in the sleep problems item.
Regarding the comparability across ethnic and racial groups, two studies have confirmed the comparability of the English version between African-American and non-Hispanic White primary care patients [20, 23]. Moreover, one study in a general population sample confirmed the comparability of the German version between Germans without a migration background and a heterogeneous sample of immigrants living in Germany . However, Crane and colleagues found differences in items about sleep, low energy, and psychomotor changes between HIV-infected African-Americans and Whites in the English version , and Baas and colleagues confirmed a cultural bias in the Dutch version of the PHQ-9 in the item psychomotor changes between Surinam Dutch and Native Dutch male primary care patients . Although the reasons for differences in item functioning are mostly unclear, most studies confirmed that such differences had minimal impact on the scale level and that sum scores were mainly comparable across the investigated samples.
To establish cross-linguistic and cross-cultural measurement equivalence, equality in item functioning needs to be inspected. The probability of endorsing a specific item should be the same for all individuals with a certain underlying level of depression, and should not be influenced by ethnic or linguistic group. If these prerequisites are not fulfilled, the item is considered to have Differential Item Functioning (DIF) [26, 27]. The absence of DIF justifies cross-cultural comparisons based on the sum score as an indicator for the latent trait, and allows observed differences to be related to actual differences between groups. DIF can be appropriately assessed using Item Response Theory (IRT) analysis [28, 29]. IRT provides parametric and nonparametric models, which constitute powerful tools for separating measurement bias from true group differences [30, 31].
The objective of this study is to investigate whether PHQ-9 scores are comparable between Turkish immigrants in Germany and Germans without a migration background. This is especially important since Turkish immigrants represent the largest minority group in Germany , and are among the three largest immigrant populations in other European countries such as the Netherlands, Denmark, and Austria . Moreover, as prevalence rates of affective disorders in labor migrants in Europe are elevated [5, 33, 34], properly working assessment instruments for depression are particularly important in this group.
First, we examine whether the German and Turkish language versions of the PHQ-9 are comparable. Then, we examine whether the German PHQ-9 is comparable across ethnic groups. This two-step approach is necessary because Turkish language utilization and German language proficiency vary considerably among Turkish immigrants . Based on previous studies on DIF in PHQ-9 items, one might expect DIF in the sleep, psychomotor changes, anhedonia, appetite changes, and low self-esteem items. However, this is the first study to investigate cross-linguistic and cross-cultural validity of the Turkish version of the PHQ-9, and one of the few to study this topic at all. Consequently, all items of the PHQ-9 were tested on DIF without statistical pre-assumptions. Based on the results, recommendations for applying the PHQ-9 in Turkish immigrants are provided.
This article provides secondary analyses of original data obtained in four independent, cross-sectional studies.
A representative sample of the German general population (n = 2510) was screened for disability, somatic complaints, mental health, and healthcare utilization. The assessment was conducted by a demographic consulting company (USUMA, Berlin) in 2007. The study material was available in German only. Details of the procedure are described elsewhere, e.g. . For the present analyses, only data of Germans without a migration background and of Turkish immigrants responding to the German language version of the PHQ-9 are used.
A convenience sample of Turkish immigrants (n = 214) completed questionnaires about perceived discrimination and depressive and somatoform symptoms. Data were collected in 2011 and 2012 . The study material was provided in German or Turkish according to the participants’ choice. The study was carried out using an online survey and paper-and-pencil versions with a snowball system.
Two matched inpatient samples (Turkish immigrants vs. Germans without a migration background, n = 50 each) were recruited in five psychiatric clinics in 2011 and 2012 . Participants were asked about subjective concepts of mental illness, motivation for psychotherapy, and mental health symptoms. The study material was provided as paper-and-pencil versions in German or Turkish according to the participants’ choice. A bilingual research assistant helped illiterate participants.
In a pilot study, Turkish immigrant inpatients (n = 29) were recruited to participate in a randomized controlled trial (RCT) on the effects of a motivation-enhancing program at the beginning of their inpatient treatment. They provided baseline information about motivation for psychotherapy, mental health symptoms, and illness perception at the beginning of inpatient treatment in two different psychiatric clinics in 2013 and 2014. Study material was available on a computer in German or Turkish according to the participants’ choice. A bilingual research assistant helped participants who were illiterate or needed assistance with the computer. This sample was included to enclose Turkish immigrants with a low level of literacy in the analysis. Persons with low German language proficiency and low educational levels usually get excluded from research in Germany, but are characteristic for the population of Turkish immigrants .
Participants in all studies provided information on sociodemographic and migration-related variables, and symptoms of depression measured by the PHQ-9. The PHQ-9 is a nine-item self-rating instrument, with each item representing one of the DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition) criteria for a depressive episode (anhedonia, depressed mood, sleep problems, feeling tired, change in appetite, negative self-evaluation, concentration problems, psychomotor changes, suicidality). Each item can be scored as 0 (not at all), 1 (several days), 2 (more than half the days), or 3 (nearly every day), according to the frequency of experiencing difficulties in the respective area in the previous 2 weeks. Sum scores range from 0 to 27. Interpreting the PHQ-9 with respect to depression severity, a score of 5 to 9 represents mild depressive symptoms, 10 to 14 moderate depressive symptoms, and 15 to 27 severe depressive symptoms .
German and Turkish versions of the PHQ-9 were retrieved from the Pfizer Patient Health Questionnaire Screeners website . The German version of the PHQ-9  was elaborated by several steps of translation and blind back-translation following state-of-the-art procedures for test translation . Various studies have demonstrated its validity [14, 15, 43,44,45]. Furthermore, results from the American and German PHQ validation studies are similar regarding criterion validity, construct validity, internal consistency, sensitivity to change and recommended cut-off scores [12,13,14,15,16]. Consequently, the German PHQ-9 can be considered a trustworthy and completely reliable PHQ version. However, to date, the Turkish version of the PHQ-9  has been validated in only one study , which showed acceptable results regarding reliability and validity for the Turkish population in Turkey.
Data preparation and definition of the subgroups
Overall, data of n = 2853 participants were eligible from the four studies described above. n = 10 participants had more than two missing items in the PHQ-9 and were excluded from the present analysis. We selected three subgroups, differing in ethnicity (no migration background at all vs. Turkish migration background), and language version of the PHQ-9 (German vs. Turkish): Germans with no migration background completing the German version of the PHQ-9 (G-G), Turkish immigrants completing the German version of the PHQ-9 (T-G), and Turkish immigrants completing the Turkish version of the PHQ-9 (T-T). Ethnic groups were defined by the parents’ country of birth according to Schenk et al. . Persons were included only if both parents were born either in Germany or in Turkey. n = 334 participants were excluded based on this criterion. Non-migrants had to be born in Germany, i.e. have no immigration experience. Their mother tongue had to be German, and they had to hold a German passport. Based on these criteria, a further n = 5 participants were excluded. The age range was restricted to 18–65 years, since there were no elderly participants in the T-T sample and only very few in the T-G sample. Accordingly, n = 90 participants under 18 and n = 437 participants over 65 were excluded. Final sample sizes were n(G-G) = 1670, n(T-G) = 191, and n(T-T) = 116.
Evaluation of prerequisites
IRT analyses require unidimensionality, i.e. the items should measure the symptoms of one underlying disorder. The PHQ-9 has been shown to be a one-dimensional measure of depression in previous studies [23, 25, 49,50,51]. Consequently, we hypothesize that unidimensionality is present as well in the German and Turkish versions of the PHQ-9. However, as a special relevance of somatoform complaints in migrant populations in general [10, 52, 53] and Turkish immigrants in particular [54, 55] has been discussed, a two-factor solution was also plausible. We addressed dimensionality using confirmatory factor analysis (CFA), testing a single-factor model and a two-factor model including the items ‘sleep problems’, ‘low energy’, ‘appetite changes’, and ‘psychomotor changes’ on a somatic factor and the items ‘anhedonia’, ‘depressed mood’, ‘low self-esteem’, ‘concentration difficulties’, ‘and suicidal ideation’ on a cognitive-affective factor. Dimensionality of the PHQ-9 was inspected for all three subgroups separately and for the total sample. Missing values were handled with full-information maximum likelihood estimation (none missing (G-G) = 10; ntwo missings (G-G) = 0; none missing (T-G) = 4; ntwo missings (T-G) = 1; none missing (T-T) = 2; ntwo missings (T-T) = 0). For model fit comparison, we followed a procedure which involves comparing the change in goodness-of-fit indices, which are unaffected by sample size . Following Cheung’s recommendations, we compared the CFI between the single-factor and the two-factor models, with a difference of ΔCFI < 0.01 indicating substantively similar models . Mplus version 5 was used for CFA .
Item response theory (IRT) analyses
For IRT analyses, the parametric graded-response model (GRM) [58, 59], the polytomous extension of the two-parameter logistic model, was applied. The GRM estimates two types of item parameters and one person parameter, based on the pattern of responses observed in the data. The item parameters are: item slope a, and item location b. The item slope parameter a indicates how steeply the probability of endorsing an item increases with an increasing underlying level of depression. The person parameter theta (θ) estimates the underlying level of depression. The item location parameters b indicate the positions of the thresholds from one response category to another. The b parameters represent the trait level necessary to respond above the threshold with .50 probability . In the case of the PHQ-9, there are three thresholds: from ‘not at all’ to ‘several days’ (b 1 ), from ‘several days’ to ‘more than half the days’ (b 2 ), and from ‘more than half the days’ to ‘nearly every day’ (b 3 ). Item parameters can be interpreted as a z-scale (mean = 0, standard deviation = 1). All parameters estimated by the GRM are reported on a logit scale. Item Characteristic Curves (ICCs) were used for the graphical investigation of the operation characteristics. The form of an ICC describes how changes in trait level relate to changes in the probability of a specified response. For polytomous items, the ICC regresses the probability of responses in each category on trait level .
For Differential Item Functioning (DIF), our analyses disentangle differences in item functioning related to language (German vs. Turkish) and to ethnicity and migration background (Germans without a migration background vs. Turkish migration background). The first analysis investigated DIF related to language, comparing T-G and T-T. The second investigated DIF related to ethnicity and migration background, comparing T-G to G-G. DIF analyses were conducted in two steps: first selecting anchor items, and then evaluating candidate items for DIF. Anchor items allow responses from two groups to be linked so that parameters are estimated in a common metric . Since we had no a priori information about DIF-free items in our samples, we used an iterative process to identify anchor items to be used for evaluating DIF in candidate items. We adopted the “leave-one-out” approach for the selection of anchor items, i.e. every single item was tested for DIF, assuming that the remaining items were DIF-free and thus serving as anchor items. If any of the X2 tests for an item was significant at the p < .05 level, the item was considered to be a candidate DIF item. This process was repeated with the remaining items to purify the sample of anchor items until there were no more new candidate DIF items in the next analysis. In the second stage of analysis, the candidate DIF items were tested for DIF relative to the set of anchor items that had been identified in step one.
Finally, Test Characteristic Curves (TCC) and Test Information Curves (TIC) were inspected. The TCC plots the most likely standard PHQ-9 score associated with each level of depression . The TIC plots the information at each depression level, e.g. the measurement precision at each depression level and the standard error associated which each depression level. Where the TCC is steep and test information is high, the PHQ-9 has good measurement precision and a small standard error of measurement. All IRT analyses were computed with IRTPRO 2.1 for Windows .
A final sample of n = 1977 participants was analyzed. The mean age of the total sample was 42.6 years, with T-G being significantly younger (32.6 vs. 43.7 years, see Table 1). In the total sample, 97% of participants had completed nine or more years of education, and 61% were employed. However, only 82% of T-T had completed 9 years of education or beyond, and the employment rate was only 47%. The proportion of inpatients was markedly higher in T-T (57%) than in the other subgroups (3 and 5%). Moreover, the proportion of participants with moderate or severe depression as estimated by the PHQ-9 sum score was higher among T-T. Second-generation immigrants were more likely to be in the T-G subgroup (62% vs. 10%). T-G were also more likely to indicate German as their mother tongue (17% vs. 6%) and to have a better German language proficiency, if their mother tongue was Turkish.
Evaluation of prerequisites
The single-factor model showed good fit in each subgroup and for the entire sample (G-G: X2(27) = 521.6, p < .001; CFI = .938; RMSEA [90% C.I.] = .105 [.097; .113]. T-G: X2(27) = 67.4, p < .001; CFI = .955; RMSEA [90% C.I.] = .089 [.062; .115]. T-T: X2(27) = 22.0, p > .05; CFI = 1.0; RMSEA [90% C.I.] = .000 [.000; .057]. Total: X2(27) = 454.6, p < .001; CFI = .964; RMSEA [90% C.I.] = .090 [.082; .097]). The fit of the two-factor model was similarly good in all subgroups and in the entire sample (G-G: X2(26) = 488.5, p < .001; CFI = .942; RMSEA [90% C.I.] = .103 [.095; .111]. T-G: X2(26) = 58.0, p < .001; CFI = .964; RMSEA [90% C.I.] = .080 [.052; .108]. T-T: X2(26) = 21.5, p > .05; CFI = 1.0; RMSEA [90% C.I.] = .000 [.000; .057]. Total: X2(26) = 422.4, p < .001; CFI = .967; RMSEA [90% C.I.] = .088 [.081; .095]). The differences in CFI between the one-factor and the two-factor model were < 0.01 for all subgroups as well as for the total sample (ΔCFI G-G = 0.004, ΔCFI T-G = 0.009, ΔCFI T-T = 0, ΔCFI total = 0.003), which indicates substantively similar models. As the single-factor model is more parsimonious, we assume that our hypothesis is confirmed and presuppose unidimensionality of the German and Turkish PHQ-9 versions for the following IRT analyses.
IRT parameter estimates and inspection of ICCs
The item slope parameters a ranged from 1.45 to 4.16, indicating that the response categories differentiated among trait levels fairly well (Table 2). The ascending order of the item location parameters b 1 , b 2 , and b 3 confirmed the correct order of response options. Additionally, the range of the item location parameters indicated that the PHQ-9 items covered levels of depression from about 1 standard deviation below to 2 standard deviations above the sample population mean.
The graphical inspection of the ICCs (Fig. 1) showed that all PHQ-9 items work well in our samples. Peaks of RCCs (Response Characteristic Curves) for response options 2 and 3 (and for ‘psychomotor changes’ and ‘suicidal ideation’ also response option 1) corresponded to underlying depression levels well above the population mean. Most RCCs had their own peak where the respective response option was the most likely to be endorsed. However, in various items and especially in the T-T sample (Fig. 1, right column), response option 2 ‘more than half the days’ did not offer much additional information, since the area under its RCC which is covered in addition to the adjacent RCCs is small or non-existent.
DIF related to language
In the first step, we identified five DIF-free items (items 2, 6–9, see Table 3). These items served as anchor items for evaluating DIF in the remaining items. Statistically significant DIF regarding item slope was identified in the item ‘anhedonia’. The probability of endorsing this item with increasing level of depression increased more rapidly in T-G than in T-T. Significant DIF was found for the location parameters of the items ‘sleep problems’, ‘low energy’, and ‘appetite changes’. While the locations of the first threshold (b 1 : ‘not at all’ to ‘several days’) were similar in both subgroups, the locations of the thresholds b 2 and b 3 differed: b 2 was lower in T-G for all items, while b 3 was higher in T-G in items 3 and 4, and higher in T-T in item 5 (see Table 2). Estimating group parameters with DIF-free items only, the group estimate of the latent depression factor was 1.03 standard deviations higher in T-T than in T-G. Using all items, it was 1.04 standard deviations higher in T-T than in T-G. In summary, language-related DIF is present in four items, but the impact on the scale level and the total score seems to be minimal.
DIF related to ethnicity and migration background
In the first step, we identified seven DIF-free items (items 1–4, 6, 8–9, see Table 3), which served as anchor items. The items ‘appetite changes’ and ‘concentration difficulties’ were evaluated for DIF in the second stage of analysis. While the threshold b 1 was similar for both groups, the thresholds b 2 and b 3 were shifted upwards for G-G as compared to T-G. For G-G, the probability of endorsing item 7 increased more rapidly with rising underlying level of depression than for T-G. Estimating group parameters with DIF-free items only, the mean depression level was 1 standard deviation higher in T-G than in G-G. Based on IRT estimates of depression using all items, the group estimate was identical: With respect to the total score, i.e. on scale level, there was no directly observable impact of DIF related to ethnicity and migration background.
Test characteristics and test information
TCCs (Fig. 2, left column) showed that the expected PHQ-9 score is about 6 to 9 points at the mean level of depression in our samples (theta = 0). The PHQ-9 had curvilinear scaling properties in all three subgroups. Consequently, differences between standard scores have different implications depending on the starting score. For example, a reduction in the underlying level of depression of 1.5 standard deviations in G-G was represented by 13.5 points in the PHQ-9 starting from theta = 1.5, and by 7.5 points starting from theta = 0.
Inspecting TICs (Fig. 2, right column), we learned that the PHQ-9 offers good measurement precision (i.e. small standard errors) from about 1 standard deviation below the population mean to about 2.5 standard deviations above. Accordingly, Cronbach’s alpha was .90 for T-T and G-G, and .91 for T-G.
The scope of the present study was to examine whether the Turkish and German versions of the PHQ-9 provide cross-linguistic and cross-cultural validity. The German version is comparable to the English and is equally well validated. We applied IRT analyses to three samples which differed regarding language version and ethnicity.
Comparability of language versions
The PHQ-9 sum score was comparable between German and Turkish language versions. Although there was item level bias, this was not reflected in total scores. This could be due to cancelling out of opposite item level DIF, or the limited effect of item level DIF at low to average range of the scale where most subjects were located. Consequently, differences between mean scores can be attributed to real differences between subgroups. In our analyses, the T-T sample included a higher proportion of inpatients and severely depressed participants, which is reflected in a meaningful difference between T-G and T-T in the latent depression factor. These differences reflect true differences in depression severity instead of measurement bias. In line with other studies comparing different language versions of the PHQ-9, we found DIF for the item ‘sleep problems’ [20,21,22]. However, studies on the cross-linguistic validity of the CES-D in English- and Dutch-speaking patients with systemic sclerosis  and the BDI in English- and Spanish-speaking outpatients  found no DIF for the corresponding sleep items. In conclusion, the bias in the sleep item seems to be based in the PHQ-9 item formulation itself rather than in the symptom of sleep problems across cultures. Language-related DIF for the items ‘appetite changes’ and ‘anhedonia’ were also found in other studies [20, 21], and was possibly related to the PHQ-9 response options in our study: ‘More than half the days’ was barely used by Turkish immigrants, especially when completing the Turkish version. One recent study on the Spanish version of the PHQ-9 also reported problems with PHQ-9 response categories ; collapsing the response categories ‘more than half the days’ and ‘nearly every day’ and working with a three-point Likert scale improved cross-cultural psychometric characteristics of the PHQ-9 in this study.
Comparability across ethnic groups
Our finding that PHQ-9 sum scores are comparable between Germans without a migration background and Turkish immigrants in Germany without any restrictions concurs with previous studies addressing the utilization of the PHQ-9 in culturally diverse populations [11, 20, 23,24,25]. Higher PHQ-9 sum scores in the T-G than in the G-G sample might be explained by self-selection processes resulting in more T-G with clinical signs of depression participating in study 2 compared to the mainly representative G-G sample from study 1. In contrast to previous studies [11, 25], we found DIF for the items ‘appetite changes’ and ‘concentration difficulties’. The differences manifested in a lower threshold for T-G to endorse the clinically meaningful response categories ‘more than half the days’ and ‘nearly every day’.
The PHQ-9 items covered a wide range of depression severities, and the PHQ-9 had a very good measurement precision around and above the population mean of depression. Our findings regarding these general characteristics of the PHQ-9 concur with previous research demonstrating the high quality of this depression questionnaire [40, 43]. However, differences between means (as used in longitudinal studies or for documenting the course of therapy) should be interpreted with caution due to curvilinear scaling properties. A rapid initial improvement in PHQ-9 sum scores, especially in severely depressed patients, may not correspond to an equally strong improvement in underlying depression.
Strengths and limitations
The strengths of our study are that we applied a state-of-the-art statistical approach, i.e., Item Response Theory, and used relatively large samples including a broad spectrum of depression severities. We evaluated the psychometric characteristics of two PHQ-9 language versions in-depth for application in culturally diverse populations. Nonetheless, there are some limitations to our study. Our analyses only included people with a Turkish migration background or no migration background at all. Further differentiations between the influences of migration background and ethnicity (i.e. Turkish immigrants living in Germany vs. Turkish people living in Turkey) are lacking. When interpreting the results, it is important to consider that there is a lot of heterogeneity in terms of participant characteristics and participant capabilities in the data, which might affect the analyzes. The presented results might be biased due to sociodemographic differences between the samples. Regarding gender, some studies report no or only a minor influence of gender on PHQ-9 scores [65, 66], while others report a significant influence . However, none of these studies investigated Turkish immigrants. We did not adjust for sample differences in age, education, and employment, since these variables are not independent of the groups examined here: The T-G sample was substantially younger than the other groups, as more second- than first-generation Turkish immigrants chose to respond to questionnaires in German. DIF related to age has been reported for items 1, 2, and 4 in a UK sample , which might have influenced the results of our analyses. Among Turkish immigrants, the proportion of persons with only basic education or who are unemployed is greater than in the German general population . According to Cameron et al. , the PHQ-9 is free of DIF related to education. The proportion of seriously ill persons in the samples might have affected analyses through sampling bias, as the proportion was higher in the Turkish immigrant samples. Last but not least, the sample without a migration background might encompass any data of repatriated Russian Germans, since they are not classified as migrants in official statistics.
Furthermore, as no gold standard measure of depression was included in the original studies, we were unable to compare sensitivity and specificity for each of our samples. The addition of a gold standard would have resulted in a more sophisticated understanding of the implications of our findings for the accuracy of diagnostic recommendations of the PHQ-9. We did not test whether DIF had a consistent impact across levels of depression severity (uniform DIF) or whether the impact of DIF varied by symptom level (nonuniform DIF). Finally, the original studies rely on different settings and study designs, implying that data from different sources might not be fully comparable.
Based on the main findings of the present study, the PHQ-9 total sum score can be recommended as a cross-cultural and cross-linguistic valid screening tool for depression in Germans without a migration background and Turkish immigrants, regardless of whether they complete the Turkish or the German version. These results might be transferable to the comparability with the English version. When interpreting individual scores of Turkish immigrants in clinical practice or in comparative studies, the response categories ‘more than half the days’ and ‘nearly every day’ should both be considered as clinically meaningful responses, as suggested by the categorical algorithm for the diagnosis of depressive disorder according to DSM-IV . According to our results, both response options should be regarded as equally important. Further analysis may evaluate whether both response options are necessary or whether they can be collapsed into one. Furthermore, Turkish immigrants seemed to be more willing to endorse some of the PHQ-9 items. Consequently, there might be intercultural differences in the perception or expression of depression . External or relational bias  with respect to second variables (e.g. symptom expression) may exist. Any ensuing differences in the predictive validity of the PHQ-9  might be subject of further research. In summary, the PHQ-9 can be highly recommended as a cross-cultural and cross-linguistic valid depression screener for the investigated samples.
- ΔCFI :
Delta (=difference) in CFI
- a :
item slope parameter
- b :
item location parameter
- b 1 :
threshold from ‘not at all’ to ‘several days’ in the PHQ-9
- b 2 :
threshold from ‘several days’ to ‘more than half the days’ in the PHQ-9
- b 3 :
threshold from ‘more than half the days’ to ‘nearly every day’ in the PHQ-9
Beck Depression Inventory
Center for epidemiological studies-depression measure
Confirmatory factor analysis
Confirmatory fit index
German Research Foundation
Differential item functioning
Diagnostic and statistical manual of mental disorders, 5th edition
Diagnostic and statistical manual of mental disorders, 4th edition
Latin abbreviation “exempli gratia”, which means “for example”
Germans with no migration background completing the German version of the PHQ-9
Parametric graded-response model
Human immunodeficiency virus
Latin abbreviation “id est”, which means “in other words”
Item characteristic curve
Item response theory
- n :
- p :
Patient health questionnaire-9 (9 designates the depression module)
Response characteristic curve
Randomized controlled trial
Root Mean square error of approximation
- SD :
- SE :
Test characteristic curve
Turkish immigrants completing the German version of the PHQ-9
Test information curve
Turkish immigrants completing the Turkish version of the PHQ-9
Name of a demographic consulting company in Berlin, Germany
- X 2 :
Standard scale in statistics where the standard deviation is one and the mean is zero
- θ :
Theta, person parameter
Paykel ES, Brugha T, Fryers T. Size and burden of depressive disorders in Europe. Eur Neuropsychopharmacol. 2005;15:411–23. https://doi.org/10.1016/j.euroneuro.2005.04.008.
Wittchen H-U, Jacobi F. Size and burden of mental disorders in Europe - a critical review and appraisal of 27 studies. Eur Neuropsychopharmacol. 2005;15:357–76. https://doi.org/10.1016/j.euroneuro.2005.04.012.
World Health Organization [WHO]. The world health report: Mental Health: New understanding and hope. 2001.
Ayuso-Mateos JL, Vázquez-Barquero JL, Dowrick C, Lehtinen V, Dalgard OS, Casey P, et al. Depressive disorders in Europe: prevalence figures from the ODIN study. Br J Psychiatry. 2001;179:308–16.
de Wit MAS, Tuinebreijer WC, Dekker J, Beekman AJTF, Gorissen WHM, Schrier AC, et al. Depressive and anxiety disorders in different ethnic groups: a population based study among native Dutch, and Turkish, Moroccan and Surinamese migrants in Amsterdam. Soc Psychiatry Psychiatr Epidemiol. 2008;43:905–12. https://doi.org/10.1007/s00127-008-0382-5.
González HM, Tarraf W, Whitfield KE, Vega WWA, González HMH. The epidemiology of major depression and ethnicity in the United States. J Psychiatr Res. 2010;44:1043–51. https://doi.org/10.1016/j.jpsychires.2010.03.017.
Hasin D, Goodwin R, Stinson F, Grant B. Epidemiology of major depressive disorder. Arch Gen Psychiatry. 2005;62:1097–106.
Deisenhammer E a, Coban-Başaran M, Mantar A, Prunnlechner R, Kemmler G, Alkın T, et al. Ethnic and migrational impact on the clinical manifestation of depression. Soc Psychiatry Psychiatr Epidemiol 2011. doi:https://doi.org/10.1007/s00127-011-0417-1.
Zayas LH, Gulbas LE. Are suicide attempts by young Latinas a cultural idiom of distress? Transcult Psychiatry. 2012; https://doi.org/10.1177/1363461512463262.
Kirmayer LJ, Young A. Culture and somatization: clinical, epidemiological, and ethnographic perspectives. Psychosom Med. 1998;60:420–30.
Baas KD, Cramer AOJ, Koeter MWJ, van de Lisdonk EH, van Weert HC, Schene AH. Measurement invariance with respect to ethnicity of the patient health Questionnaire-9 (PHQ-9). J Affect Disord. 2011;129:229–35. https://doi.org/10.1016/j.jad.2010.08.026.
Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.
Spitzer R, Kroenke K, Validation WJ. Utility of a self-report version of PRIME- MD: the PHQ primary care study. JAMA. 1999;282:1737–44.
Löwe B, Kroenke K, Herzog W, Gräfe K. Measuring depression outcome with a brief self-report instrument: sensitivity to change of the patient health questionnaire (PHQ-9). J Affect Disord. 2004;81:61–6. https://doi.org/10.1016/S0165-0327(03)00198-8.
Löwe B, Spitzer R, Gräfe K, Kroenke K, Quenter A, Zipfel S, et al. Comparative validity of three screening questionnaires for DSM-IV depressive disorders and physicians’ diagnoses. J Affect Disord. 2004;78:131–40. https://doi.org/10.1016/S0165-0327(02)00237-9.
Löwe B, Unützer J, Callahan C, Perkins A, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. 2004;42:1194–201.
American Psychiatric Association [APA]. Diagnostic and statistical manual of mental disorders, DSM-5. 2013.
Pfizer Inc. Patient health questionnaires (PHQ) screeners, official website. 2013. http://www.phqscreeners.com/overview.aspx?Screener=02_PHQ-9.
Statistisches Bundesamt. Bevölkerung und Erwerbstätigkeit: Bevölkerung mit Migrationshintergrund, Ergebnisse des Mikrozensus 2013. Wiesbaden: Statistisches Bundesamt; 2014.
Huang FY, Chung H, Kroenke K, Delucchi KL, Spitzer RL. Using the patient health Questionnaire-9 to measure depression among racially and ethnically diverse primary care patients. J Gen Intern Med. 2006;21:547–52. https://doi.org/10.1111/j.1525-1497.2006.00409.x.
Arthurs E, Steele RJ, Hudson M, Baron M, Thombs BD. Are scores on English and French versions of the PHQ-9 comparable? An assessment of differential item functioning. PLoS One. 2012;7:e52028. https://doi.org/10.1371/journal.pone.0052028.
Hirsch O, Donner-Banzhoff N, Bachmann V. Measurement equivalence of four psychological questionnaires in native-born Germans, Russian-speaking immigrants, and native-born Russians. J Transcult Nurs. 2013; https://doi.org/10.1177/1043659613482003.
Hepner KA, Morales LS, Hays RD, Edelen MO, Miranda J. Evaluating differential item functioning of the PRIME-MD mood module among impoverished black and white women in primary care. Women’s Heal Issues. 2008;18:53–61. https://doi.org/10.1016/j.whi.2007.10.001.
Mewes R, Christ O, Rief W, Brähler E, Martin A, Glaesmer H. Are depression and somatisation equivalent for migrants and native Germans? An investigation of measurement invariance for the PHQ-9 and PHQ-15. Diagnostica. 2010;56:230–9. https://doi.org/10.1026/0012-1924/a000026.
Crane PK, Gibbons LE, Willig JH, Mugavero MJ, Lawrence ST, Schumacher JE, et al. Measuring depression levels in HIV-infected patients as part of routine clinical care using the nine-item patient health questionnaire (PHQ-9). AIDS Care. 2010;22:874–85. https://doi.org/10.1080/09540120903483034.
Holland P, Wainer H. Differential item functioning. In: Hillsdale (NJ): Lawrence Erlbaum associates; 1993.
Camilli G, Shepard L. Methods for identifying biased test items. Thousand Oaks: Sage Publications; 1994.
Adler M, Hetta J, Isacsson G, Brodin U. An item response theory evaluation of three depression assessment instruments in a clinical sample. BMC Med Res Methodol. 2012;12:84. https://doi.org/10.1186/1471-2288-12-84.
Reise SP, Waller NG. Item response theory and clinical measurement. Annu Rev Clin Psychol. 2009;5:27–48. https://doi.org/10.1146/annurev.clinpsy.032408.153553.
Waller NG, Thompson JS, Wenk E. Using IRT to separate measurement bias from true group differences on homogeneous and heterogeneous scales: an illustration with the MMPI. Psychol Methods. 2000;5:125–46. https://doi.org/10.1037//1082-989X.5.1.125.
Meijer RR, Baneke JJ. Analyzing psychopathology items: a case for nonparametric item response theory modeling. Psychol Methods. 2004;9:354–68. https://doi.org/10.1037/1082-989X.9.3.354.
Eurostat. Migrants in Europe. A statistical portrait of the first and second generation. Luxembourg: European Union; 2011.
Aichberger MC, Schouler-Ocak M, Mundt A, Busch MA, Nickels E, Heimann HM, et al. Depression in middle-aged and older first generation migrants in Europe: results from the survey of health, ageing and retirement in Europe (SHARE). Eur Psychiatry. 2010;25:468–75. https://doi.org/10.1016/j.eurpsy.2009.11.009.
Lindert J, Von EOS, Priebe S, Mielck A, Brähler E. Depression and anxiety in labor migrants and refugees - a systematic review and meta-analysis. Soc Sci Med. 2009;69:246–57. https://doi.org/10.1016/j.socscimed.2009.04.032.
Weidacher A. Schlußfolgerungen und partizipationspolitischer Ausblick [Conclusions and political forecast]. In: Weidacher A, editor. In Deutschland zu Hause: politische Orientierungen griechischer, italienischer, türkischer und deutscher junger Erwachsener im Vergleich (DJI-Ausländersurvey) At home in Germany: a comparison of political orientations in Greek, Italian, Turkish and Germa. Opladen: Leske + Budrich; 2000. p. 265–72.
Mewes R, Rief W, Stenzel N, Glaesmer H, Martin A, Brähler E. What is “normal” disability? An investigation of disability in the general population. Pain. 2009;142:36–41. https://doi.org/10.1016/j.pain.2008.11.007.
Mewes R, Asbrock F, Laskawi J. Perceived discrimination and impaired mental health in Turkish immigrants and their descendents in Germany. Compr Psychiatry. 2015;62:42–50.
Reich H, Bockel L, Mewes R. Motivation for psychotherapy and illness beliefs in Turkish immigrant inpatients in Germany: results of a cultural comparison study. J Racial Ethn Heal Disparities. 2015;2:112–23. https://doi.org/10.1007/s40615-014-0054-y.
Woellert F, Kröhnert S, Sippel L, Klingholz R. Ungenutzte Potenziale: Zur Lage der Integration in Deutschland. Berlin-Institut für Bevölkerung und Entwicklung; 2009.
Kroenke K, Spitzer R, Williams J, Löwe B. The patient health questionnaire somatic, anxiety, and depressive symptom scales: a systematic review. Psychiatry Prim Care. 2010;32:345–59.
Löwe B, Spitzer RL, Zipfel S, Herzog W. PRIME MD Patient Health Questionnaire (PHQ) — German version Manual and materials. 2nd ed. Karlsruhe: Pfizer; 2002.
Bracken BA, Barona A. State of the art procedures for translating, validating and using psychoeducational tests in cross-cultural assessment. Sch Psychol Int. 1991;12:119–32. https://doi.org/10.1177/0143034391121010.
Martin A, Rief W, Klaiberg A, Braehler E. Validity of the brief patient health questionnaire mood scale (PHQ-9) in the general population. Gen Hosp Psychiatry. 2006;28:71–7. https://doi.org/10.1016/j.genhosppsych.2005.07.003.
Löwe B, Gräfe K, Zipfel S, Witte S, Loerch B, Herzog W. Diagnosing ICD-10 depressive episodes: superior criterion validity of the patient health questionnaire. Psychother Psychosom. 2004;73:386–90. https://doi.org/10.1159/000080393.
Henkel V, Mergl R, Kohnen R, Allgaier A-K, Möller H-J, Hegerl U. Use of brief depression screening tools in primary care: consideration of heterogeneity in performance in different patient groups. Gen Hosp Psychiatry. 2004;26:190–8. https://doi.org/10.1016/j.genhosppsych.2004.02.003.
Çorapçıoğlu A, Özer GU. [Patient Health Questionnaire-9]. Patient Health Questionnaire (PHQ) Screeners. http://www.phqscreeners.com/sites/g/files/g10016261/f/201412/PHQ9_Turkish%20for%20Turkey.pdf. Accessed 12 Dec 2012.
Yazici Güleç M, Güleç H, Simşek G, Turhan M, Aydin Sünbül E. Psychometric properties of the Turkish version of the patient health questionnaire-somatic, anxiety, and depressive symptoms. Compr Psychiatry. 2012;53:623–9. https://doi.org/10.1016/j.comppsych.2011.08.002.
Schenk L, Bau AM, Borde T, Butler J, Lampert T, Neuhauser H, et al. Mindestindikatorensatz zur Erfassung des Migrationsstatus [minimum set of indicators for measuring the migration status]. Bundesgesundheitsblatt - Gesundheitsforsch - Gesundheitsschutz. 2006;49:853–60.
Cameron IM, Crawford JR, Lawton K, Reid IC. Psychometric comparison of PHQ-9 and HADS for measuring depression severity in primary care. Br J Gen Pract. 2008;58:32–6. https://doi.org/10.3399/bjgp08X263794.
Dum M, Pickren J, Sobell LC, Sobell MB. Comparing the BDI-II and the PHQ-9 with outpatient substance abusers. Addict Behav. 2008;33:381–7. https://doi.org/10.1016/j.addbeh.2007.09.017.
Kocalevent R-D, Hinz A, Brähler E. Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population. Gen Hosp Psychiatry. 2013;35:551–5. https://doi.org/10.1016/j.genhosppsych.2013.04.006.
Castillo R, Waitzkin H, Ramirez Y, Escobar JI. Somatization in primary care, with a focus on immigrants and refugees. Arch Fam Med. 1995;4:637–46.
Kirmayer LJ, Sartorius N. Cultural models and somatic syndromes. Psychosom Med. 2007;69:832–40. https://doi.org/10.1097/PSY.0b013e31815b002c.
Mewes R, Rief W. Are somatoform complaints and causal attributions in Turkish migrants associated with their cultural background or the migration itself? Zeitschrift für Medizinische Psychol. 2009;18:135–9. https://content.iospress.com/articles/zeitschrift-fur-medizinische-psychologie/zmp18-3-4-07. Accessed 23 Feb 2012
Behrens K, Machleidt W, Haltenhof H, Ziegenbein M, Calliess IT. Somatization and vulnerability to offence in immigrants with mental disorders - evidence or eminence? Nervenheilkunde. 2008;27:639–43.
Cheung GW, Rensvold RB. Evaluating goodness-of- fit indexes for testing measurement invariance. Struct Equ Model. 2002;(2):233–55.
Muthén L. Muthén B. Mplus User’s guide.
Samejima F. Estimation of latent ability using a response pattern of graded scores. Psychometric Monograph Np. 1969:17.
Samejima F. The graded response model. In: van der Linden WJ, Hambleton RK, editors. Handbook of modern item response theory. New York: Springer; 1996.
Embretson S, Reise S. Item response theory for psychologists. Hove: Psychology Press; 2013.
Cai L, Thissen D, du Toit SHC. IRTPRO 2.1 for windows (item response theory for patient-reported outcomes). 2014.
Kwakkenbos L, Arthurs E, van den Hoogen FHJ, Hudson M, van Lankveld WGJM, Baron M, et al. Cross-language measurement equivalence of the Center for Epidemiologic Studies Depression (CES-D) scale in systemic sclerosis: a comparison of Canadian and Dutch patients. PLoS One. 2013;8:e53923. https://doi.org/10.1371/journal.pone.0053923.
Azocar F, Areán P, Miranda J, Muñoz RF. Differential item functioning in a Spanish translation of the Beck depression inventory. J Clin Psychol. 2001;57:355–65. https://doi.org/10.1002/jclp.1017
Zhong Q, Gelaye B, Fann JR, Sanchez SE, M a W. Cross-cultural validity of the Spanish version of PHQ-9 among pregnant Peruvian women: a Rasch item response theory analysis. J Affect Disord. 2014;158:148–53. https://doi.org/10.1016/j.jad.2014.02.012.
Cameron IM, Crawford JR, Lawton K, Reid IC. Differential item functioning of the HADS and PHQ-9: an investigation of age, gender and educational background in a clinical UK primary care sample. J Affect Disord. 2013;147:262–8. https://doi.org/10.1016/j.jad.2012.11.015.
Thibodeau MA, Asmundson GJG. The PHQ-9 assesses depression similarly in men and women from the general population. Pers Individ Dif. 2014;56:149–53.
Drasgow F. Study of the measurement bias of two standardized psychological tests. J Appl Psychol. 1987;72:19–29.
We would like to thank PD Dr. Heide Gläsmer, Dipl.-Psych. Luisa Bockel, Dipl.-Psych. Johanna Laskawi, and Dipl.-Psych. Daniela Zürn for their collaboration in data collection. We also express our thanks to the cooperating clinic sites: Vitos Clinic for Psychiatry and Psychotherapy Marburg (Medical Director: Prof. Dr. Dr. Matthias J. Müller); “Parkland-Klinik” Bad Wildungen; Clinic for Psychiatry and Psychotherapy at the Hospital of Offenbach; Clinic for Psychiatry, Psychotherapy, and Psychosomatics at the Hospital of Frankfurt Höchst; and MEDIAN “Klinik am Südpark” Bad Nauheim.
Study 1 was supported by a grant from the German Research Foundation (DFG) to Prof. Rief (Grant RI 574/14–1).
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on request.
Ethics approval and consent to participate
The institutional review board of the German Psychological Association (study 1) and the institutional review board of the Department of Psychology, Marburg University, Germany (studies 2 to 4) reviewed and approved the study protocols. Participants of all studies provided written informed consent.
The authors declare that they have no competing interests.
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Reich, H., Rief, W., Brähler, E. et al. Cross-cultural validation of the German and Turkish versions of the PHQ-9: an IRT approach. BMC Psychol 6, 26 (2018). https://doi.org/10.1186/s40359-018-0238-z
- Patient health Questionnaire-9 (PHQ-9)
- Item response theory (IRT)
- Differential item functioning (DIF)
- Cross-cultural / ethnic comparison