Abstract
Background
The Beck Depression Inventory (BDI) and BDI-II (revised version) are some of the most widely used and comparable self-report scales for assessing the presence and severity of depressive symptoms in many countries. However, although the relative mean score of each symptom in different countries may vary, the cultural differences of BDI-II symptoms for each item have not been previously studied.
Aims
To examine the overall picture of the magnitude of the symptoms in the Finnish population, and compare the relative mean score of each symptom between all published population-based samples from different countries fulfilling the search criteria.
Method
We conducted a search for population-based studies reporting BDI-II item, using Scopus, PsycINFO and PubMed, and five population-based samples were identified. Relative average scores for each item of the scale were calculated for the Finnish population and five populations from other countries. Meta-regression methods were used to test the differences in the relative score of each symptom between each country separately, and results were then visually compared with spider charts.
Results
We found significant differences in several BDI-II item scores between countries: lower indecisiveness, higher changes in sleep pattern and higher irritability in Finland; higher loss of pleasure in Norway; higher loss of interest in the Dominic Republic; higher self-criticalness and feelings of punishment in Mexico; and higher sadness in Japan.
Conclusions
Based on the study fundings and including all currently published population-based samples with BDI-II scores, cultural differences in depressive symptoms should be considered when interpreting BDI-II item scores.
Keywords: Depressive disorders, epidemiology, rating scales, transcultural psychiatry, statistical methodology
The Beck Depression Inventory (BDI)1 and its revised version (BDI-II) are some of the most frequently used self-rating scales for measuring the severity of depressive symptoms.2 The BDI was originally developed based on clinical experience and aimed to assess the varying intensity of depression.1 It underwent two major revisions in 19783 and 1996,4 as the BDI-IA and BDI-II, respectively. The BDI-II was modified to better recognise severe depression, possibly demanding hospital care.4
BDI-II in different populations
Reportedly, studies have shown that culture affects the way we express emotions,5 often leading to misinterpretation of symptoms by clinicians.6 Psychological research has mostly been conducted in Western countries and among Western study samples, which do not culturally represent global diversity.7 Since the publication of the BDI-II, its psychometric properties have been studied on several different occasions, in different cultures and subgroups, although not always in representative samples.8–10 Studies have shown that the reliability and validity of the BDI-II, measured by Cronbach's alpha, Spearman's rank correlation and Student's t-test, is good across different subgroups, including when used in different language versions.11,12 On the contrary, different cut-off points have been suggested for the studied subgroup in some study settings, such as a cut-off score of ≥27 to differentiate veterans with mood disorder.13 In addition, population-based studies on the psychometric properties and validity of the BDI-II included a description of the distribution of the item scores of the BDI-II.12,14–17 However, there are few studies describing the distribution of symptoms in representative population-based samples.
The original BDI scale has been shown to be a valid screening measure for depression in Finland.18 and a reliable tool for cross-cultural comparison in Europe, although some cross-cultural differences have been noticed, especially in the Spanish sample.19 The Finnish translation of the BDI-II was published in 2004.20 Since then, the BDI-II questionnaire has been used in clinical21–23 and population-based studies,24–26 but the individual items of the questionnaire have not been examined in the Finnish population since the translation. In addition, neither were the Finnish population symptom scores compared with the corresponding population scores from other countries.
Aim of the study
Although the BDI-II is a commonly used tool for measuring depressive symptoms worldwide, with some cultural differences being reported,27,28 no item-by-item comparison of the BDI-II across different countries and population-based samples has been made. To improve the cross-cultural interpretation of the BDI-II, this population-based study described the symptoms measured on the BDI-II in the Finnish population, and compared the distribution of items between population-based samples from six different countries.
Method
Finnish study population
The Finnish population was based on the Northern Finland Birth Cohort (NFBC) 1966,29 which is a longitudinal research programme that originally included all of the mothers (n = 12 068)30 with children (n = 12 058 live-born individuals) whose expected date of birth fell in the year 1966. The cohort members were monitored through interviews, postal questionnaires and clinical measurements from the prenatal period onward. The data from the most recent time point when the individuals were 46 years old (n = 10 321 alive) were included in this study (see Fig. 1). Questionnaire data at 46 years were received from 6868 (67%) participants and clinical examination data were received from 5860 (57%) participants. The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All procedures involving human participants were approved by the Ethical Committee of the Northern Ostrobothnia Hospital District in Oulu, Finland (approval number 94/2011). Written informed consent was obtained from all participants. Personal identity information was encrypted and replaced with identification codes.
Selection of international populations
We searched SCOPUS, PsycINFO and PubMed for studies on the BDI-II. The search was conducted manually on 22 June 2020, using the following keywords: BDI-II, Beck Depression Inventory II, validation, population, psychometr*, adaptation and dimension. The search strategy was developed in cooperation with a health science librarian using medical subject headings, and adapted for other databases by using free-word searches. The search strings were defined and validated by the first author (M.S.) together with the librarian. M.S. performed the initial search and screened the titles and abstracts of all of the articles identified by the search strings, to exclude irrelevant articles according to the eligibility criteria. Furthermore, we included original peer-reviewed journal articles, including mean values of BDI-II items based on population-based samples. The articles included in the analyses were required to meet the following criteria: used the BDI-II, reported the mean BDI-II value and mean and s.d. for each BDI-II item, and used population-based sampling. The search results were limited to human studies and English-language articles made available through open access or otherwise accessible within the University of Oulu. The search results were not limited by date. Additional articles were identified by searching the references in papers retrieved by the search strategy. The initial literature search retrieved 522 articles; however, after removing duplicate articles, screening of titles and abstracts, and reading of full-text articles, five articles were finally considered eligible for inclusion in this comparative study.
International populations
The eligible studies selected for the comparison were conducted in Norway (n = 875),14 the Dominican Republic (n = 954),12 Brazil (n = 182),15 Mexico (n = 205)16 and Japan (n = 766).17 The selected studies are summarised in Table 1. The mean number of individuals included in the studies was 603 (s.d. 378), ranging from 182 to 954. Sample recruitment varied between studies. All of the study populations were adults or adolescents with a mean age of 40.6 years (range 29.9–50.0 years). The studies were conducted in 2001, 2002, 2012, 2015 and 2018.
Table 1.
Reference | Location | Sample selection | Sample size (women/men) | Mean age (s.d./range) | BDI-II translation | Cronbach's alpha | BDI-II total scores | |||
---|---|---|---|---|---|---|---|---|---|---|
0–13 | 14–19 | 20–28 | 29–63 | |||||||
NFBC,1966 | Finland | Cohort study | 5860 (3284/2576) | 46.6 (0.6) | Finnish | 0.92 | 4794 (82.0%) | 594 (10.0%) | 401 (4.1%) | 71 (1.2%) |
Aasen, 200114 | Norway | Randomly recruited by telephone register | 875 (512/363) | 44.5 (18.0–86.0) | Norwegian | 0.91 | 711 (81.0%) | 93 (10.6%) | 52 (6.0%) | 21 (2.4%) |
García-Batista et al, 201812 | Dominican Republic | Convenience sample from the general public | 954 (438/516) | 31.6 (16.0) | Spanish | 0.89 | 726 (76.1%) | 102 (10.7%) | 90 (9.4%) | 36 (3.8%) |
Gomes-Oliveira et al, 201215 | Brazil | Community-dwelling adults, population-based household survey | 182 (102/80) | 41.0 (10.8) | Brazilian Portuguese | 0.93 | NA | NA | NA | NA |
González et al, 201516 | Mexico | Community sample | 205 (117/88) | 29.9 (16.0–70.0) | Spanish | 0.87 | 160 (78%) | 27 (13%) | 10 (5%) | 8 (4%) |
Kojima et al, 200217 | Japan | General population recruited from annual communal health check-up visit | 766 (303/463) | 50.0 (8.6) | Japanese | 0.87 | 618 (80.7%) | 99 (12.9%) | 37 (4.8%) | 12 (1.6%) |
BDI-II, Beck Depression Inventory-II; NFBC, Northern Finland Birth Cohort.
Instrument
Depression was evaluated with the BDI-II questionnaire, which consists of 21 questions and answers, each scoring from 0 to 3 points. The total score of BDI-II can be calculated (0–63), and a cut-off of 0–13 points indicates minimal depressive symptoms, 14–19 points indicates mild depressive symptoms, 20–28 points indicates moderate depressive symptoms and 29–63 points indicates severe depressive symptoms.4 All study populations used a translated version of the questionnaire, and samples had adequate internal consistency as measured by Cronbach's alpha, ranging from 0.87 to 0.93. We present the detailed information regarding cut-off distributions and measures for internal consistency in Table 1.
Statistical analysis
We present the original BDI-II item means for each study in Supplementary Table 1 available at https://doi.org/10.1192/bjo.2022.13. As the samples differed by total BDI-II scores and we wanted to compare the relative importance of each item, we calculated the relative means for the items by dividing the mean value of each symptom with the total mean, and then divided by the number of BDI-II items (item mean/(total mean/21)). A relative mean <1 in an item can be interpreted so that the symptom in question has a mean score below an average item mean in the sample in question; if the mean is >1, the mean score is above an average item mean. Based on these relative mean scores, we first used random-effects meta-analysis to pool the six different populations, and then used meta-regression to statistically compare the results of these populations. This was done by comparing each sample to the average of the other samples. Visual examination of relative mean scores and results of meta-regression was done by using spider charts. The results are expressed as P-values and 95% confidence intervals. Statistical significance was determined as P < 0.05. Analyses were performed with IBM SPSS Statistics version 25 for Windows, and meta-analysis was conducted with Stata version 16 for Windows.
Results
Finnish population
Overall, 6074 participants completed the BDI-II questionnaire either on the day of the health examination or at home after receiving the questionnaire by mail; 214 participants failed to answer 1–14 questions. All of the those with missing values were excluded. The final study sample consisted of 5860 participants, of whom 2576 (46.2%) were men and 3284 (53.8%) were women. Most of the participants had good or excellent self-rated health (n = 3755, 64.1%), and 1577 (26.9%) had higher education. Of those who failed to complete the BDI-II questionnaire, 92 (43.0%) were men and 122 (57.0%) were women. The three items most likely to be missed were ‘loss of energy’ (n = 140, 65.4% missing values), ‘tiredness or fatigue’ (n = 139, 65.0%) and ‘loss of interest in sex’ (n = 139, 65.0%). Women were most likely not to respond to the question regarding loss of energy, whereas men were most likely not to respond to the question regarding loss of interest in sex. The average total of BDI-II points was 5.55 (s.d. 0.08), with a minimum value of 0 and a maximum value of 55. Ten per cent (n = 594) of the final study population scored at least 14 points (showing mild depressive symptoms) in the BDI-II questionnaire, 4.1% (n = 401) scored at least 20 points (showing moderate depressive symptoms) and 1.2% (n = 71) scored at least 29 points (showing severe depression symptoms). Most of the individuals with depression were women (66.2%). The mean values of BDI-II in the non-depressed and depressed groups were 3.89 (s.d. 3.55) and 20.28 (s.d. 6.68), respectively. Means and s.d. for BDI-II items in Finnish population are shown in Supplementary Table 1.
Comparison of study populations from different countries
The mean scores of each symptom of BDI-II in different cultural populations are shown in Supplementary Table 1. The item ‘changes in sleep pattern’ (range 0.68–0.95) scored the highest in Finland, the Dominican Republic, Brazil and Mexico; ‘loss of energy’ (0.74) scored the highest in Norway; and ‘loss of interest in sex’ (0.91) scored the highest in Japan. ‘Suicidal thoughts’ (range 0.08–0.17) scored the lowest in every population. The item that scored the second lowest was ‘feelings of punishment’ in Finland and Norway (Finland: 0.11, Norway: 0.18), ‘worthlessness’ in Brazil and Mexico (Brazil: 0.27, Mexico: 0.16), ‘pessimism’ in the Dominican Republic (0.25) and ‘self-dislike’ in Japan (0.19).
The symptom items according to the BDI-II in six different cultural populations and the statistically significant differences between the populations are presented in Fig. 2. The Finnish population scored significantly lower in ‘indecisiveness’ (P = 0.034) and significantly higher in ‘changes in sleep pattern’ (P = 0.039) and ‘irritability’ (P = 0.019) than other populations. Compared with other populations, Norway scored significantly higher in ‘loss of pleasure’ (P = 0.033), the Dominican Republic scored significantly higher in ‘loss of interest’ (P = 0.009), Mexico scored significantly higher in ‘self-criticalness’ (P = 0.049) and ‘feelings of punishment’ (P = 0.048), and Japan scored significantly higher in ‘sadness’ (P = 0.013). The detailed results are shown in Table 2.
Table 2.
Relative mean scores | Meta-regression | |||
---|---|---|---|---|
Meana | 95% CI | Coefficient | 95% Cl | |
Sadness | ||||
Finland | 0.45 | 0.42–0.49 | −0.24 | −1.16 to 0.67 |
Norway | 0.52 | 0.44–0.60 | −0.17 | −1.12 to 0.79 |
Dominican Republic | 0.66 | 0.57–0.76 | 0.01 | −0.98 to 1.00 |
Brasilia | 0.75 | 0.54–0.95 | 0.10 | −0.90 to 1.11 |
Mexico | 0.39 | 0.26–0.51 | −0.32 | −1.21 to 0.56 |
Japan | 1.18 | 1.10–1.28 | 0.64 | 0.22–1.06 |
Pessimism | ||||
Finland | 0.72 | 0.67–0.76 | −0.11 | −1.09 to 0.87 |
Norway | 1.03 | 0.94–1.13 | 0.27 | −0.65 to 1.19 |
Dominican Republic | 0.54 | 0.45–0.62 | −0.33 | −1.21 to 0.55 |
Brasilia | 0.75 | 0.54–0.95 | −0.08 | −1.09 to 0.94 |
Mexico | 0.54 | 0.37–0.70 | −0.33 | −1.23 to 0.58 |
Japan | 1.27 | 1.15–1.40 | 0.56 | −0.77 to 1.19 |
Past failure | ||||
Finland | 0.61 | 0.56–0.65 | −0.15 | −0.55 to 0.26 |
Norway | 0.91 | 0.80–1.02 | 0.23 | −0.10 to 0.56 |
Dominican Republic | 0.56 | 0.48–0.64 | −0.20 | −0.58 to 0.17 |
Brasilia | 0.77 | 0.53–1.00 | 0.05 | −0.49 to 0.59 |
Mexico | 0.81 | 0.60–1.03 | 0.10 | −0.41 to 0.62 |
Japan | 0.76 | 0.66–0.85 | 0.39 | −0.43 to 0.50 |
Loss of pleasure | ||||
Finland | 0.95 | 0.90–0.99 | −0.10 | −0.40 to 0.20 |
Norway | 1.20 | 1.09–1.30 | 0.22 | 0.03–0.41 |
Dominican Republic | 0.92 | 0.82–1.03 | −0.12 | −0.45 to 0.20 |
Brasilia | 1.09 | 0.83–1.34 | 0.07 | −0.40 to 0.54 |
Mexico | 1.01 | 0.81–1.20 | −0.02 | −0.44 to 0.39 |
Japan | 1.04 | 0.95–1.13 | 0.17 | −0.37 to 0.37 |
Guilty feelings | ||||
Finland | 1.32 | 1.27–1.38 | 0.41 | −0.26 to 1.08 |
Norway | 1.16 | 1.07–1.26 | 0.22 | −0.63 to 1.06 |
Dominican Republic | 0.96 | 0.87–1.06 | −0.02 | −0.91 to 0.87 |
Brasilia | 0.94 | 0.72–1.15 | −0.06 | −0.98 to 0.86 |
Mexico | 0.94 | 0.79–1.09 | −0.05 | −0.95 to 0.85 |
Japan | 0.57 | 0.49–0.64 | −0.51 | −1.04 to 0.02 |
Feelings of punishment | ||||
Finland | 0.42 | 0.38–0.45 | −0.21 | −0.76 to 0.34 |
Norway | 0.47 | 0.37–0.56 | −0.15 | −0.77 to 0.47 |
Dominican Republic | 0.64 | 0.54–0.75 | 0.06 | −0.60 to 0.72 |
Brasilia | 0.68 | 0.42–0.94 | 0.11 | −0.63 to 0.84 |
Mexico | 1.01 | 0.73–1.28 | 0.49 | 0.01–0.97 |
Japan | 0.50 | 0.41–0.58 | −0.12 | −0.75 to 0.52 |
Self-dislike | ||||
Finland | 0.64 | 0.60–0.68 | −0.09 | −0.74 to 0.56 |
Norway | 0.91 | 0.79–1.02 | 0.23 | −0.36 to 0.82 |
Dominican Republic | 0.77 | 0.67–0.87 | 0.06 | −0.61 to 0.73 |
Brasilia | 0.60 | 0.38–0.81 | −0.14 | −0.84 to 0.56 |
Mexico | 1.01 | 0.76–1.25 | 0.33 | −0.29 to 0.95 |
Japan | 0.45 | 0.37–0.53 | −0.32 | −0.78 to 0.13 |
Self-criticalness | ||||
Finland | 0.80 | 0.75–0.84 | −0.34 | −1.69 to 1.00 |
Norway | 0.83 | 0.72–0.93 | −0.30 | −1.67 to 1.07 |
Dominican Republic | 1.37 | 1.26–1.48 | 0.35 | −0.99 to 1.70 |
Brasilia | 1.00 | 0.75–1.25 | −0.09 | −1.56 to 1.37 |
Mexico | 1.82 | 1.56–2.07 | 0.88 | 0.01–1.76 |
Japan | 0.71 | 0.61–0.81 | −0.45 | −1.73 to 0.84 |
Suicidal thoughts | ||||
Finland | 0.30 | 0.28–0.33 | 0.04 | −0.21 to 0.29 |
Norway | 0.21 | 0.16–0.26 | −0.08 | −0.31 to 0.15 |
Dominican Republic | 0.21 | 0.16–0.27 | −0.07 | −0.31 to 0.17 |
Brasilia | 0.21 | 0.10–0.33 | −0.07 | −0.35 to 0.21 |
Mexico | 0.28 | 0.17–0.39 | 0.01 | −0.28–0.29 |
Japan | 0.40 | 0.33–0.47 | 1.55 | −0.01 to 0.32 |
Crying | ||||
Finland | 0.45 | 0.41–0.50 | −0.67 | −1.67 to 0.33 |
Norway | 0.67 | 0.56–0.79 | −0.41 | −1.69 to 0.87 |
Dominican Republic | 0.96 | 0.84–1.09 | −0.06 | −1.46 to 1.34 |
Brasilia | 1.36 | 1.04–1.68 | 0.41 | −0.94 to 1.76 |
Mexico | 1.56 | 1.23–1.89 | 0.65 | −0.53 to 1.83 |
Japan | 1.18 | 1.08–1.28 | 0.20 | −1.17 to 1.57 |
Agitation | ||||
Finland | 0.87 | 0.83–0.91 | −0.08 | −0.79 to 0.63 |
Norway | 0.70 | 0.61–0.79 | −0.28 | −0.86 to 0.31 |
Dominican Republic | 1.14 | 1.02–1.26 | 0.25 | −0.37 to 0.88 |
Brasilia | 1.02 | 0.75–1.29 | 0.10 | −0.69 to 0.89 |
Mexico | 1.24 | 0.98–1.50 | 0.36 | −0.30 to 1.02 |
Japan | 0.73 | 0.63–0.83 | −0.24 | −0.88 to 0.39 |
Loss of interest | ||||
Finland | 0.87 | 0.83–0.92 | −0.13 | −0.60 to 0.34 |
Norway | 0.88 | 0.78–0.98 | −0.12 | −0.61 to 0.38 |
Dominican Republic | 1.24 | 1.13–1.35 | 0.34 | 0.14–0.54 |
Brasilia | 0.83 | 0.60–1.07 | −0.17 | −0.73 to 0.40 |
Mexico | 1.05 | 0.82–1.28 | 0.08 | −0.49 to 0.66 |
Japan | 0.97 | 0.87–1.06 | −0.01 | −0.53 to 0.51 |
Indecisiveness | ||||
Finland | 0.49 | 0.45–0.53 | −0.54 | −1.01 to −0.07 |
Norway | 0.91 | 0.81–1.00 | −0.07 | −1.05 to 0.91 |
Dominican Republic | 0.96 | 0.84–1.09 | 0.004 | −0.98 to 0.99 |
Brasilia | 1.36 | 1.07–1.65 | 0.47 | −0.38 to 1.33 |
Mexico | 1.20 | 0.96–1.44 | 0.28 | −0.67 to 1.24 |
Japan | 0.94 | 0.84–1.04 | −0.02 | −1.00 to 0.96 |
Worthlessness | ||||
Finland | 0.57 | 0.53–0.61 | −0.03 | −0.49 to 0.43 |
Norway | 0.75 | 0.65–0.85 | 0.19 | −0.19 to 0.58 |
Dominican Republic | 0.58 | 0.48–0.68 | 0.01 | −0.49 to 0.46 |
Brasilia | 0.57 | 0.38–0.77 | −0.02 | −0.55 to 0.51 |
Mexico | 0.34 | 0.21–0.48 | −0.30 | −0.60 to 0.01 |
Japan | 0.71 | 0.61–0.81 | 0.14 | −0.29 to 0.57 |
Loss of energy | ||||
Finland | 1.89 | 1.84–1.95 | 0.33 | −0.32 to 0.99 |
Norway | 1.91 | 1.81–2.02 | 0.36 | −0.30 to 1.01 |
Dominican Republic | 1.41 | 1.31–1.52 | −0.24 | −0.98 to 0.49 |
Brasilia | 1.49 | 1.25–1.72 | −0.15 | −0.98 to 0.69 |
Mexico | 1.37 | 1.16–1.57 | −0.29 | −1.05 to 0.46 |
Japan | 1.56 | 1.46–1.65 | 0.07 | −0.88 to 0.74 |
Changes in sleep pattern | ||||
Finland | 2.57 | 2.50–2.64 | 0.80 | 0.06–1.52 |
Norway | 1.86 | 1.72–2.00 | −0.07 | −1.41 to 1.28 |
Dominican Republic | 1.95 | 1.83–2.07 | 0.04 | −1.31 to 1.39 |
Brasilia | 1.62 | 1.34–1.90 | −0.36 | −1.66 to 0.95 |
Mexico | 2.03 | 1.81–2.25 | 0.14 | −1.22 to 1.49 |
Japan | 1.44 | 1.33–1.55 | −0.58 | −1.65 to 0.49 |
Irritability | ||||
Finland | 1.21 | 1.16–1.26 | 0.38 | 0.10–0.66 |
Norway | 0.85 | 0.75–0.95 | −0.07 | −0.70 to 0.56 |
Dominican Republic | 0.88 | 0.77–0.98 | −0.04 | −0.67 to 0.59 |
Brasilia | 0.98 | 0.74–1.22 | 0.78 | −0.61 to 0.77 |
Mexico | 0.86 | 0.67–1.04 | −0.06 | −0.72 to 0.59 |
Japan | 0.68 | 0.59–0.78 | −0.28 | −0.78 to 0.22 |
Change in appetite | ||||
Finland | 1.55 | 1.50–1.61 | 0.40 | −0.86 to 1.67 |
Norway | 0.80 | 0.70–0.90 | −0.50 | −1.71 to 0.71 |
Dominican Republic | 1.63 | 1.50–1.76 | 0.49 | −0.72 to 1.71 |
Brasilia | 1.23 | 0.97–1.50 | 0.02 | −1.41 to 1.44 |
Mexico | 1.45 | 1.21–1.70 | 0.28 | −1.09 to 1.65 |
Japan | 0.66 | 0.58–0.75 | −0.67 | −1.70 to 0.36 |
Difficulty concentrating | ||||
Finland | 1.06 | 1.01–1.11 | −0.23 | −0.58 to 0.11 |
Norway | 1.14 | 1.04–1.24 | −0.13 | −0.61 to 0.35 |
Dominican Republic | 1.44 | 1.31–1.56 | 0.24 | −0.16 to 0.64 |
Brasilia | 1.23 | 0.99–1.48 | −0.01 | −0.59 to 0.57 |
Mexico | 1.28 | 1.07–1.50 | 0.05 | −0.51 to 0.60 |
Japan | 1.35 | 1.25–1.44 | 0.12 | −0.34 to 0.59 |
Tiredness or fatigue | ||||
Finland | 1.63 | 1.57–1.68 | 0.14 | −0.62 to 0.90 |
Norway | 1.60 | 1.50–1.71 | 0.11 | −0.67 to 0.89 |
Dominican Republic | 1.44 | 1.32–1.55 | −0.09 | −0.88 to 0.69 |
Brasilia | 1.32 | 1.07–1.57 | −0.23 | −1.03 to 0.58 |
Mexico | 1.18 | 0.99–1.36 | −0.41 | −1.02 to 0.21 |
Japan | 1.84 | 1.75–1.94 | 0.39 | −0.16 to 0.94 |
Loss of interest in sex | ||||
Finland | 1.59 | 1.52–1.65 | 0.35 | −1.47 to 2.17 |
Norway | 1.47 | 1.34–1.61 | 0.22 | −1.66 to 2.08 |
Dominican Republic | 0.77 | 0.66–0.88 | −0.63 | −2.30 to 1.03 |
Brasilia | 1.13 | 0.85–1.40 | −0.20 | −2.10 to 1.69 |
Mexico | 0.66 | 0.47–0.86 | −0.76 | −2.35 to 0.82 |
Japan | 2.15 | 2.00–2.30 | 1.02 | −0.25 to 2.28 |
Figures marked in bold indicate statistically significant results.
Relative means score calculated by dividing the mean value of each symptom with the total mean and further divided by the number of Beck Depression Inventory-II items (item mean/(total mean/21)).
Discussion
We compared the BDI-II item scores in all currently available population-based samples from six different countries, and found significant differences in several item scores between them. In the Finnish population, the item ‘indecisiveness’ scored lower and items ‘changes in sleep pattern’ and ‘irritability’ scored higher than in other populations. The Japanese population had a significantly higher ‘sadness’ score, the Norwegian population had a higher ‘loss of pleasure’ score, the Mexican population had higher ‘self-criticalness’ and ‘feelings of punishment’ scores, and the Dominican Republic population reported significantly higher ‘loss of interest’ score than samples from the other countries. Thus, the findings of this study can increase awareness of the cultural differences in depressive symptoms and enable effective interpretation of the BDI-II item scores.
To the best of our knowledge, this is the first study that conducted an item-by-item comparison of the BDI-II across different countries, with population-based samples. Consequently, the possibility of comparing our results with earlier studies is limited. When considering ethnicity and cultural background, no significant correlation between ethnicity (categorised as White versus other) and BDI-II total score was previously found.4,31 Some measurement invariance defined by ethnicity has been reported across groups.27,28 In addition, cultural differences in symptom reporting were revealed among Chinese-heritage and European-heritage undergraduates in North America, as Chinese-heritage students scored higher on cognitive symptoms of depression.27 In our study, Asia was only represented by Japan, which scored higher in the ‘sadness’ item, which is part of the general depression symptoms factor in the model presented by Ward.32
The original version of the BDI has previously been compared between European countries, and although it has been suggested to be a good tool for cross-cultural comparison, some differences in the relative weight of BDI items have been found between countries, especially regarding the Spanish sample, which placed greater importance on items ‘sadness’, ‘pessimism’ and ‘self-accusation’, and less importance on items ‘guilty feelings’, ‘indecisiveness’ and ‘loss of libido’. In addition, a Finnish sample placed greater importance on items ‘social withdraw’ and ‘body image’, and a British sample placed greater importance on items ‘fatigability’ and ‘weight loss’.19 In our study, the Dominican Republic and Mexico samples used the Spanish-language version of the BDI-II, and found similar results regarding the Mexican sample scoring higher than our other samples on the items ‘feelings of punishment’ and ‘self-criticalness’.
The probability of answering certain items of the BDI-II with low or high points may have been influenced by underlying cultural or language-version issues. This study was not focused on different language versions, but compared studies that used a translation of the BDI-II. Our study supports the previous recommendation that cultural context should be taken into better account when assessing issues of clinical psychology.33 We can only speculate on the clinical settings, but taking account that patients likely have culturally diverse background, the cultural background and the potential role of acculturation should also be acknowledged when interpreting the results of questionnaire and when choosing the language version the patient will answer.
The major strength of this study is that this is the first international, population-based, item-by-item comparison made for BDI-II. However, this study has some limitations, including the differences between the populations we compared. Not all of the study participants were recruited through random sampling. The study populations also differed by age, although most of them were focused on adults. We found differences in item scores from the two younger samples (Dominican Republic and Mexico), which could also be associated with the lower age of the participants. All of the studies used different translations instead of the original BDI-II, which may partly explain the differences between the study populations, as translations might slightly alter the meaning of items. It is also important to note that we only had data from six countries, so it is not possible to draw strong conclusions about cultural differences, and comparison based on larger data is needed in the future. Thus, there is a need to examine the underlying factors explaining the cultural differences in future studies, as cultural background might affect how people answer the questionnaire and thus impede the results.
In conclusion, we found distinct differences in BDI-II item scores distribution between different countries. Thus, the possible cultural or language differences should be considered when interpreting the BDI-II questionnaire scores or comparing the BDI-II scores cross-culturally, as failure to do so may impede findings.
Acknowledgements
We thank all of the cohort members and researchers who participated in the 46-year study. We also acknowledge the work of the NFBC Project Center.
Author contributions
M.S., T.L., J.A., J.M., R.K. and M.T. contributed to study design. M.S. and J.M. were involved in the literature search and selection of the articles. M.S. and J.M. analysed the data. M.S., T.L., J.A., J.M., R.K. and M.T. were involved in data interpretation. M.S., T.L., J.A., J.M., R.K. and M.T. were involved in writing and critical revision of the manuscript. All authors have read and approved the final manuscript.
Funding
The NFBC received financial support from the University of Oulu (grant number 24000692), Oulu University Hospital (grant number 24301140) and European Regional Development Fund (grant number 539/2010 A31592). The study was financially supported by the Ministry of Education and Culture in Finland (grant numbers OKM/86/626/2014, OKM/43/626/2015, OKM/17/626/2016, OKM2017, OKM2018 and OKM2019), and Juho Vainio Foundation, Finland. The funders of the study did not have any role in the design of the study, data collection, analysis, interpretation or writing of the manuscript.
Supplementary material
For supplementary material accompanying this paper visit http://doi.org/10.1192/bjo.2022.13.
Data availability
NFBC data is available from the University of Oulu, Infrastructure for Population Studies. Permission to use the data can be applied for research purposes via the electronic material request portal. In the use of data, we follow the EU General Data Protection Regulation (679/2016) and Finnish Data Protection Act. The use of personal data is based on each participant's written informed consent at their latest follow-up study, which may cause limitations to its use. Please, contact the NFBC Project Center (NFBCprojectcenter@oulu.fi) and visit the cohort website (www.oulu.fi/nfbc) for more information.
Declaration of interest
None.
References
- 1.Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry 1961; 4: 561–71. [DOI] [PubMed] [Google Scholar]
- 2.Richter P, Werner J, Heerlein A, Kraus A, Sauer H. On the validity of the Beck Depression Inventory. A review. Psychopathology 1998; 31(3): 160–8. [DOI] [PubMed] [Google Scholar]
- 3.Beck AT, Rush AJ, Shaw BF, Emery G. Cognitive Therapy of Depression. Guilford Press, 1979. [Google Scholar]
- 4.Beck AT, Steer RA, Brown G. Manual for Beck Depression Inventory-II. Psychological Corporation, 1996. [Google Scholar]
- 5.Markus HR, Kitayama S. Cultures and selves: a cycle of mutual constitution. Perspect Psychol Sci 2010; 5(4): 420–30. [DOI] [PubMed] [Google Scholar]
- 6.Kirmayer LJ. Cultural variations in the clinical presentation of depression and anxiety: implications for diagnosis and treatment. J Clin Psychiatry 2001; 62(suppl 13): 22–30. [PubMed] [Google Scholar]
- 7.Thalmayer AG, Toscanelli C, Arnett JJ. The neglected 95% revisited: is American psychology becoming less American? Am Psychol 2021; 76(1): 116–29. [DOI] [PubMed] [Google Scholar]
- 8.Arnarson PÖ, Ólason DP, Smári J, Sigurdsson JF. The Beck Depression Inventory Second Edition (BDI-II): psychometric properties in Icelandic student and patient populations. Nord J Psychiatry 2008; 62(5): 360–5. [DOI] [PubMed] [Google Scholar]
- 9.Naja S, Al-Kubaisi N, Chehab M, Al-Dahshan A, Abuhashem N, Bougmiza I. Psychometric properties of the Arabic version of EPDS and BDI-II as a screening tool for antenatal depression: evidence from Qatar. BMJ Open 2019; 9(9): e030365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Harris CA, D'Eon JL. Psychometric properties of the Beck Depression Inventory-Second Edition (BDI-II) in individuals with chronic pain. Pain 2008; 137(3): 609–22. [DOI] [PubMed] [Google Scholar]
- 11.Toledano-Toledano F, Contreras-Valdez JA. Validity and reliability of the Beck Depression Inventory II (BDI-II) in family caregivers of children with chronic diseases. PLoS One 2018; 13(11): e0206917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.García-Batista ZE, Guerra-Peña K, Cano-Vindel A, Herrera-Martínez SX, Medrano LA. Validity and reliability of the Beck Depression Inventory (BDI-II) in general and hospital population of Dominican Republic. PLoS One 2018; 13(6): e0199750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Reis DJ, Namekata MS, Oehlert ME, King N. A preliminary review of the Beck Depression Inventory-II (BDI-II) in veterans: are new norms and cut scores needed? Psychol Serv 2020; 17(3): 363–71. [DOI] [PubMed] [Google Scholar]
- 14.Aasen H. An empirical investigation of depression symptoms: norms, psychometric characteristics and factor structure of the Beck Depression Inventory-II. Master's thesis, The University of Bergen, 2001. [Google Scholar]
- 15.Gomes-Oliveira MH, Gorenstein C, Neto FL, Andrade LH, Wang YP. Validation of the Brazilian Portuguese version of the Beck Depression inventory-II in a community sample. Rev Bras Psiquiatr 2012; 34(4): 389–94. [DOI] [PubMed] [Google Scholar]
- 16.González DA, Rodríguez AR, Reyes-Lagunes I. Adaptation of the BDI-II in Mexico. Salud Ment 2015; 38(4): 237–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kojima M, Furukawa TA, Takahashi H, Kawai M, Nagaya T, Tokudome S. Cross-cultural validation of the Beck Depression Inventory-II in Japan. Psychiatry Res 2002; 110(3): 291–9. [DOI] [PubMed] [Google Scholar]
- 18.Nuevo R, Lehtinen V, Reyna-Liberato PM, Ayuso-Mateos JL. Usefulness of the Beck Depression Inventory as a screening method for depression among the general population of Finland. Scand J Public Health 2009; 37(1): 28–34. [DOI] [PubMed] [Google Scholar]
- 19.Nuevo R, Dunn G, Dowrick C, Vázquez-Barquero JL, Casey P, Dalgard OS, et al. Cross-cultural equivalence of the Beck Depression Inventory: a five-country analysis from the ODIN study. J Affect Disord 2008; 114(1): 156–62. [DOI] [PubMed] [Google Scholar]
- 20.Psykologien Kustannus Oy. BDI-II Käsikirja [Beck Depression Inventory-II]. Psykologien Kustannus Oy, 2005. [Google Scholar]
- 21.Granö N, Salmijärvi L, Karjalainen M, Kallionpää S, Roine M, Taylor P. Early signs of worry: psychosis risk symptom visual distortions are independently associated with suicidal ideation. Psychiatry Res 2015; 225(3): 263–7. [DOI] [PubMed] [Google Scholar]
- 22.Wäljas M, Iverson GL, Hartikainen KM, Liimatainen S, Dastidar P, Soimakallio S, et al. Reliability, validity and clinical usefulness of the BNI fatigue scale in mild traumatic brain injury. Brain Inj 2012; 26(7–8): 972–8. [DOI] [PubMed] [Google Scholar]
- 23.Weizmann-Henelius G. Violent female perpetrators in Finland. Nord Psychol 2006; 58(4): 280–97. [Google Scholar]
- 24.Hintsa T, Wesolowska K, Elovainio M, Strelau J, Pulkki-Råback L, Keltikangas-Järvinen L. Associations of temporal and energetic characteristics of behavior with depressive symptoms: a population-based longitudinal study within Strelau's regulative theory of temperament. J Affect Disord 2016; 197: 196–204. [DOI] [PubMed] [Google Scholar]
- 25.Perkkiö Y, Jokelainen J, Auvinen J, Eskola P, Saltevo J, Keinänen-Kiukaanniemi S, et al. Glucose status and depressive symptoms: a cohort study of elderly people in Northwest Finland. Scand J Prim Health Care 2019; 37(2): 242–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Poutanen O, Koivisto A-M, Salokangas RKR. Applicability of the DEPS Depression Scale: assessing format and individual items in subgroups of patients. Nord J Psychiatry 2010; 64(6): 384–90. [DOI] [PubMed] [Google Scholar]
- 27.Dere J, Watters CA, Yu SC-M, Michael Bagby R, Ryder AG, Harkness KL. Cross-cultural examination of measurement invariance of the Beck Depression Inventory-II. Psychol Assess 2015; 27(1): 68–81. [DOI] [PubMed] [Google Scholar]
- 28.Whisman MA, Judd CM, Whiteford NT, Gelhorn HL. Measurement invariance of the Beck Depression Inventory-Second Edition (BDI-II) across gender, race, and ethnicity in college students. Assessment 2013; 20(4): 419–28. [DOI] [PubMed] [Google Scholar]
- 29.University of Oulu. Northern Finland Birth Cohort 1966. University of Oulu, 1966 (http://urn.fi/urn:nbn:fi:att:bc1e5408-980e-4a62-b899-43bec3755243). [Google Scholar]
- 30.Rantakallio P. The longitudinal study of the Northern Finland birth cohort of 1966. Paediatr Perinat Epidemiol 1988; 2(1): 59–88. [DOI] [PubMed] [Google Scholar]
- 31.Steer RA, Ball R, Ranieri WF, Beck AT. Dimensions of the Beck Depression Inventory-II in clinically depressed outpatients. J Clin Psychol 1999; 55(1): 117–28. [DOI] [PubMed] [Google Scholar]
- 32.Ward LC. Comparison of factor structure models for the Beck Depression Inventory--II. Psychol Assess 2006; 18(1): 81–8. [DOI] [PubMed] [Google Scholar]
- 33.Ryder AG, Ban LM, Chentsova-Dutton YE. Towards a cultural-clinical psychology. Soc Personal Psychol Compass 2011; 5(12): 960–75. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
For supplementary material accompanying this paper visit http://doi.org/10.1192/bjo.2022.13.
Data Availability Statement
NFBC data is available from the University of Oulu, Infrastructure for Population Studies. Permission to use the data can be applied for research purposes via the electronic material request portal. In the use of data, we follow the EU General Data Protection Regulation (679/2016) and Finnish Data Protection Act. The use of personal data is based on each participant's written informed consent at their latest follow-up study, which may cause limitations to its use. Please, contact the NFBC Project Center (NFBCprojectcenter@oulu.fi) and visit the cohort website (www.oulu.fi/nfbc) for more information.