Cross-Cultural Application of the Beck Depression Inventory (BDI-I/II) for Assessing Adolescent Depression in Low- and Middle-Income Countries: A Critical Review of Evidence from the Last Quarter-Century

Downloads

Authors

DOI:

https://doi.org/10.71079/ASIDE.HS.012226419

Abstract

Background: The Beck Depression Inventory (BDI-I/II) versions are widely used for identifying depression among adolescents in low- and middle-income countries (LMICs). Nevertheless, their global usage depends on the questionable assumption that symptoms are expressed the same way in different cultures.

Methods: This comprehensive review used narrative synthesis to explore the psychometric, conceptual, and ethical aspects of the BDI studies done on adolescents in LMICs. We purposively selected 8 case exemplars from the literature based on a pre-specified framework to illustrate key cross-cultural and methodological issues. A custom rubric was used to weight studies by methodological quality. Invariance evidence was defined as explicit reporting of multi-group confirmatory factor analysis (MGCFA) for configural, metric, or scalar invariance.

Results: Although the BDI showed high internal consistency across the 8 exemplar studies (Cronbach’s α: 0.79–0.96), it revealed significant psychometric variation across cultures. Somatic items showed substantial overlap with medical comorbidities (e.g., HIV, malnutrition) in vulnerable populations, confounding diagnostic specificity. Factor structures were inconsistent, and rigorous measurement invariance testing was largely absent.

Discussion: The widespread absence of scalar invariance suggests that current cross-cultural score comparisons may reflect measurement artifacts rather than true differences in depression severity. Beyond psychometrics, BDI presents ethical challenges regarding developmentally inappropriate items, particularly concerning sexuality and suicidality, that limit its validity in conservative or resource-limited contexts.

Conclusion: Investigations into this issue should focus more on the use of invariance-testing frameworks, the implementation of a mixed-methods strategy, and the recognition of the need for sensitive translation and culturally appropriate assessment techniques.

Keywords:

Beck Depression Inventory (BDI), Adolescent Depression, Cross-Cultural Validation , Low- and Middle-Income Countries (LMICs), Measurement Invariance

References

1. Kieling C, Baker-Henningham H, Belfer M, Conti G, Ertem I, Omigbodun O, Rohde LA, Srinath S, Ulkuer N, Rahman A. Child and adolescent mental health worldwide: evidence for action. Lancet. 2011: 1515 [PMID: 22008427, https://doi.org/10.1016/S0140-6736(11)60827-1] DOI: https://doi.org/10.1016/S0140-6736(11)60827-1

2. WHO. Mental health of adolescents: WHO. Available from: https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health.

3. Beck AT, Steer RA, Brown G. Beck Depression Inventory–II. PsycTESTS Dataset. 2011: https://doi.org/10.1037/t00742-000] DOI: https://doi.org/10.1037/t00742-000

4. Fernando S. Race and culture issues in mental health and some thoughts on ethnic identity. Counselling Psychology Quarterly. 2012: 113 https://doi.org/10.1080/09515070.2012.674299] DOI: https://doi.org/10.1080/09515070.2012.674299

5. Byrne BM, van de Vijver FJR. The maximum likelihood alignment approach to testing for approximate measurement invariance: A paradigmatic cross-cultural application. Psicothema. 2017: 539 [PMID: 29048316, https://doi.org/10.7334/psicothema2017.178] DOI: https://doi.org/10.7334/psicothema2017.178

6. Crone EA, Dahl RE. Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat Rev Neurosci. 2012: 636 [PMID: 22903221, https://doi.org/10.1038/nrn3313] DOI: https://doi.org/10.1038/nrn3313

7. Kirmayer LJ. Cultural variations in the clinical presentation of depression and anxiety: implications for diagnosis and treatment. J Clin Psychiatry. 2001: 22 [PMID: 11434415,

8. Jorns-Presentati A, Napp AK, Dessauvagie AS, Stein DJ, Jonker D, Breet E, Charles W, Swart RL, Lahti M, Suliman S, Jansen R, van den Heuvel LL, Seedat S, Groen G. The prevalence of mental health problems in sub-Saharan adolescents: A systematic review. PLoS One. 2021: e0251689 [PMID: 33989357, https://doi.org/10.1371/journal.pone.0251689] DOI: https://doi.org/10.1371/journal.pone.0251689

9. Akhtar P, Ma L, Waqas A, Naveed S, Li Y, Rahman A, Wang Y. Prevalence of depression among university students in low and middle income countries (LMICs): a systematic review and meta-analysis. J Affect Disord. 2020: 911 [PMID: 32664032, https://doi.org/10.1016/j.jad.2020.03.183] DOI: https://doi.org/10.1016/j.jad.2020.03.183

10. Wubshet I, Engdawork K, Gebremarim S, Kanazayire C, Abbott P. The Social Determinants of Depression among Adolescents in Low- and Middle-Income Countries: A Scoping Review. https://doiorg/101101/2025040725325376. 2025: https://doi.org/10.1101/2025.04.07.25325376] DOI: https://doi.org/10.1101/2025.04.07.25325376

11. Greenhalgh T, Thorne S, Malterud K. Time to challenge the spurious hierarchy of systematic over narrative reviews? Eur J Clin Invest. 2018: e12931 [PMID: 29578574, https://doi.org/10.1111/eci.12931] DOI: https://doi.org/10.1111/eci.12931

12. Cohen J. Statistical Power Analysis for the Behavioral Sciences. Routledge. 2013: https://doi.org/10.4324/9780203771587] DOI: https://doi.org/10.4324/9780203771587

13. Adewuya AO, Ola BA, Aloba OO. Prevalence of major depressive disorders and a validation of the Beck Depression Inventory among Nigerian adolescents. Eur Child Adolesc Psychiatry. 2007: 287 [PMID: 17473949, https://doi.org/10.1007/s00787-006-0557-0] DOI: https://doi.org/10.1007/s00787-006-0557-0

14. Basker M, Moses PD, Russell S, Russell PS. The psychometric properties of Beck Depression Inventory for adolescent depression in a primary-care paediatric setting in India. Child Adolesc Psychiatry Ment Health. 2007: 8 [PMID: 17688697, https://doi.org/10.1186/1753-2000-1-8] DOI: https://doi.org/10.1186/1753-2000-1-8

15. Araya R, Montero-Marin J, Barroilhet S, Fritsch R, Gaete J, Montgomery A. Detecting depression among adolescents in Santiago, Chile: sex differences. BMC Psychiatry. 2013: 122 [PMID: 23617306, https://doi.org/10.1186/1471-244X-13-122] DOI: https://doi.org/10.1186/1471-244X-13-269

16. Kim MH, Mazenga AC, Devandra A, Ahmed S, Kazembe PN, Yu X, Nguyen C, Sharp C. Prevalence of depression and validation of the Beck Depression Inventory‐II and the Children's Depression Inventory‐Short amongst HIV‐positive adolescents in Malawi. Journal of the International AIDS Society. 2014: https://doi.org/10.7448/ias.17.1.18965]

17. Bhatt KB, Apidechkul T, Srichan P, Bhatt N. Depressive symptoms among orphans and vulnerable adolescents in childcare homes in Nepal: a cross-sectional study. BMC Psychiatry. 2020: 466 [PMID: 32977787, https://doi.org/10.1186/s12888-020-02863-y] DOI: https://doi.org/10.1186/s12888-020-02863-y

18. Toosi F, Rahimi C, Sajjadi S. Psychometric Properties of Beck Depression Inventory-II for High School Children in Shiraz City, Iran. International Journal of School Health. 2017: https://doi.org/10.5812/intjsh.41069] DOI: https://doi.org/10.5812/intjsh.41069

19. Jha KK, Singh SK, Nirala SK, Kumar C, Kumar P, Aggrawal N. Prevalence of Depression among School-going Adolescents in an Urban Area of Bihar, India. Indian Journal of Psychological Medicine. 2017: 287 https://doi.org/10.4103/0253-7176.207326]

20. Ferreira-Maia AP, Boronat AC, Gorenstein C, Wang Y-P. 5.39 Reliability and Dimensional Validity of the Beck Depression Inventory-II (BDI-II) Among Brazilian Adolescents. Journal of the American Academy of Child & Adolescent Psychiatry. 2018: S239 https://doi.org/10.1016/j.jaac.2018.09.332] DOI: https://doi.org/10.1016/j.jaac.2018.09.332

21. Kim MH, Mazenga AC, Devandra A, Ahmed S, Kazembe PN, Yu X, Nguyen C, Sharp C. Prevalence of depression and validation of the Beck Depression Inventory-II and the Children's Depression Inventory-Short amongst HIV-positive adolescents in Malawi. J Int AIDS Soc. 2014: 18965 [PMID: 25085002, https://doi.org/10.7448/IAS.17.1.18965 DOI: https://doi.org/10.7448/IAS.17.1.18965

18965]

22. Flake JK, Pek J, Hehman E. Construct Validation in Social and Personality Research. Social Psychological and Personality Science. 2017: 370 https://doi.org/10.1177/1948550617693063] DOI: https://doi.org/10.1177/1948550617693063

23. Sijtsma K. On the Use, the Misuse, and the Very Limited Usefulness of Cronbach's Alpha. Psychometrika. 2009: 107 [PMID: 20037639, https://doi.org/10.1007/s11336-008-9101-0] DOI: https://doi.org/10.1007/s11336-008-9101-0

24. Bolton P, Neugebauer R, Ndogoni L. Prevalence of depression in rural Rwanda based on symptom and functional criteria. J Nerv Ment Dis. 2002: 631 [PMID: 12357098, https://doi.org/10.1097/00005053-200209000-00009] DOI: https://doi.org/10.1097/00005053-200209000-00009

25. Lalkhen AG, McCluskey A. Clinical tests: sensitivity and specificity. Continuing Education in Anaesthesia Critical Care & Pain. 2008: 221 https://doi.org/10.1093/bjaceaccp/mkn041] DOI: https://doi.org/10.1093/bjaceaccp/mkn041

26. Jha KK, Singh SK, Nirala SK, Kumar C, Kumar P, Aggrawal N. Prevalence of Depression among School-going Adolescents in an Urban Area of Bihar, India. Indian J Psychol Med. 2017: 287 [PMID: 28615762, https://doi.org/10.4103/0253-7176.207326] DOI: https://doi.org/10.4103/0253-7176.207326

27. Chen FF. What happens if we compare chopsticks with forks? The impact of making inappropriate comparisons in cross-cultural research. J Pers Soc Psychol. 2008: 1005 [PMID: 18954190, https://doi.org/10.1037/a0013193] DOI: https://doi.org/10.1037/e514412014-064

28. Lock M. Cultivating the Body: Anthropology and Epistemologies of Bodily Practice and Knowledge. Annual Review of Anthropology. 1993: 133 https://doi.org/10.1146/annurev.an.22.100193.001025] DOI: https://doi.org/10.1146/annurev.anthro.22.1.133

29. Kohrt BA, Hruschka DJ. Nepali concepts of psychological trauma: the role of idioms of distress, ethnopsychology and ethnophysiology in alleviating suffering and preventing stigma. Cult Med Psychiatry. 2010: 322 [PMID: 20309724, https://doi.org/10.1007/s11013-010-9170-2] DOI: https://doi.org/10.1007/s11013-010-9170-2

30. Blakemore SJ, Mills KL. Is adolescence a sensitive period for sociocultural processing? Annu Rev Psychol. 2014: 187 [PMID: 24016274, https://doi.org/10.1146/annurev-psych-010213-115202] DOI: https://doi.org/10.1146/annurev-psych-010213-115202

31. Hankin BL, Abramson LY, Moffitt TE, Silva PA, McGee R, Angell KE. Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. J Abnorm Psychol. 1998: 128 [PMID: 9505045, https://doi.org/10.1037//0021-843x.107.1.128] DOI: https://doi.org/10.1037//0021-843X.107.1.128

32. Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in adolescence. Lancet. 2012: 1056 [PMID: 22305766, https://doi.org/10.1016/S0140-6736(11)60871-4] DOI: https://doi.org/10.1016/S0140-6736(11)60871-4

33. Putnick DL, Bornstein MH. Measurement Invariance Conventions and Reporting: The State of the Art and Future Directions for Psychological Research. Dev Rev. 2016: 71 [PMID: 27942093, https://doi.org/10.1016/j.dr.2016.06.004] DOI: https://doi.org/10.1016/j.dr.2016.06.004

34. Gregorich SE. Do self-report instruments allow meaningful comparisons across diverse population groups? Testing measurement invariance using the confirmatory factor analysis framework. Med Care. 2006: S78 [PMID: 17060839, https://doi.org/10.1097/01.mlr.0000245454.12228.8f] DOI: https://doi.org/10.1097/01.mlr.0000245454.12228.8f

35. Weiss B, Dang M, Trung L, Nguyen MC, Thuy NT, Pollack A. A Nationally-Representative Epidemiological and Risk Factor Assessment of Child Mental Health in Vietnam. Int Perspect Psychol. 2014: 139 [PMID: 25328817, https://doi.org/10.1037/ipp0000016] DOI: https://doi.org/10.1037/ipp0000016

36. Davidov E, Meuleman B, Cieciuch J, Schmidt P, Billiet J. Measurement Equivalence in Cross-National Research. Annual Review of Sociology. 2014: 55 https://doi.org/10.1146/annurev-soc-071913-043137] DOI: https://doi.org/10.1146/annurev-soc-071913-043137

37. Beck AT. The evolution of the cognitive model of depression and its neurobiological correlates. Am J Psychiatry. 2008: 969 [PMID: 18628348, https://doi.org/10.1176/appi.ajp.2008.08050721] DOI: https://doi.org/10.1176/appi.ajp.2008.08050721

38. Markus HR, Kitayama S. Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review. 1991: 224 https://doi.org/10.1037/0033-295x.98.2.224] DOI: https://doi.org/10.1037//0033-295X.98.2.224

39. Chentsova-Dutton YE, Tsai JL. Self-focused attention and emotional reactivity: the role of culture. J Pers Soc Psychol. 2010: 507 [PMID: 20175627, https://doi.org/10.1037/a0018534] DOI: https://doi.org/10.1037/a0018534

40. Ryder AG, Yang J, Zhu X, Yao S, Yi J, Heine SJ, Bagby RM. The cultural shaping of depression: somatic symptoms in China, psychological symptoms in North America? J Abnorm Psychol. 2008: 300 [PMID: 18489206, https://doi.org/10.1037/0021-843X.117.2.300] DOI: https://doi.org/10.1037/0021-843X.117.2.300

41. Kirmayer LJ, Young A. Culture and somatization: clinical, epidemiological, and ethnographic perspectives. Psychosom Med. 1998: 420 [PMID: 9710287, https://doi.org/10.1097/00006842-199807000-00006] DOI: https://doi.org/10.1097/00006842-199807000-00006

42. Chaplin TM, Aldao A. Gender differences in emotion expression in children: a meta-analytic review. Psychol Bull. 2013: 735 [PMID: 23231534, https://doi.org/10.1037/a0030737] DOI: https://doi.org/10.1037/a0030737

43. Kleinman AM. Depression, somatization and the "new cross-cultural psychiatry". Soc Sci Med (1967). 1977: 3 [PMID: 887955, https://doi.org/10.1016/0037-7856(77)90138-x] DOI: https://doi.org/10.1016/0037-7856(77)90138-X

44. Canino G, Alegria M. Psychiatric diagnosis - is it universal or relative to culture? J Child Psychol Psychiatry. 2008: 237 [PMID: 18333929, https://doi.org/10.1111/j.1469-7610.2007.01854.x] DOI: https://doi.org/10.1111/j.1469-7610.2007.01854.x

45. Kaiser BN, Ticao C, Anoje C, Minto J, Boglosa J, Kohrt BA. Adapting culturally appropriate mental health screening tools for use among conflict-affected and other vulnerable adolescents in Nigeria. Glob Ment Health (Camb). 2019: e10 [PMID: 31258924, https://doi.org/10.1017/gmh.2019.8] DOI: https://doi.org/10.1017/gmh.2019.8

46. Osman A, Barrios FX, Gutierrez PM, Williams JE, Bailey J. Psychometric properties of the Beck Depression Inventory-II in nonclinical adolescent samples. J Clin Psychol. 2008: 83 [PMID: 18161034, https://doi.org/10.1002/jclp.20433] DOI: https://doi.org/10.1002/jclp.20433

47. Joodaki K, Nedjat S, Vahid Dastjerdi M, Larijani B. Ethical considerations and challenges of sex education for adolescents in Iran: a qualitative study. J Med Ethics Hist Med. 2020: 2 [PMID: 33088429, https://doi.org/10.18502/jmehm.v13i2.2664] DOI: https://doi.org/10.18502/jmehm.v13i2.2664

48. Askari F, Mirzaiinajmabadi K, Saeedy Rezvani M, Asgharinekah SM. Sexual health education issues (challenges) for adolescent boys in Iran: A qualitative study. J Educ Health Promot. 2020: 33 [PMID: 32318601, https://doi.org/10.4103/jehp.jehp_462_19] DOI: https://doi.org/10.4103/jehp.jehp_462_19

49. Rausch E, Racz SJ, Augenstein TM, Keeley L, Lipton MF, Szollos S, Riffle J, Moriarity D, Kromash R, De Los Reyes A. A Multi-Informant Approach to Measuring Depressive Symptoms in Clinical Assessments of Adolescent Social Anxiety Using the Beck Depression Inventory-II: Convergent, Incremental, and Criterion-Related Validity. Child & Youth Care Forum. 2017: 661 https://doi.org/10.1007/s10566-017-9403-4] DOI: https://doi.org/10.1007/s10566-017-9403-4

50. Lipton MF, Augenstein TM, Weeks JW, De LRA. A Multi-informant Approach to Assessing Fear of Positive Evaluation in Socially Anxious Adolescents. Journal of Child and Family Studies. 2013: 1247 https://doi.org/10.1007/s10826-013-9785-3] DOI: https://doi.org/10.1007/s10826-013-9785-3

51. Los Reyes A, Makol BA, Racz SJ, Youngstrom EA, Lerner MD, Keeley LM. The Work and Social Adjustment Scale for Youth: A Measure for Assessing Youth Psychosocial Impairment Regardless of Mental Health Status. J Child Fam Stud. 2019: 1 [PMID: 33311964, https://doi.org/10.1007/s10826-018-1238-6] DOI: https://doi.org/10.1007/s10826-018-1238-6

52. Prinsen CAC, Mokkink LB, Bouter LM, Alonso J, Patrick DL, de Vet HCW, Terwee CB. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018: 1147 [PMID: 29435801, https://doi.org/10.1007/s11136-018-1798-3] DOI: https://doi.org/10.1007/s11136-018-1798-3

53. Lewis-Fernández R, Aggarwal Neil K, Hinton L, Hinton Devon E, Kirmayer Laurence J. DSM-5® Handbook on the Cultural Formulation Interview. DSM-5® Handbook on the Cultural Formulation Interview. 2015: https://doi.org/10.1176/appi.books.9781615373567] DOI: https://doi.org/10.1176/appi.books.9781615373567

54. Bhatia RK, Bhardwaj P, Chaudhry A, Ghosh A, Parmar A, Ahluwalia Y, Singh G, Prasad D, Verma P, Dahiya N, Grover A, Sarkar S, Balhara YPS. A review of systematic reviews for evidence on use of mobile applications for mental disorders, including substance use disorders, in low and middle-income countries. Digit Health. 2025: 20552076251387056 [PMID: 41143094, https://doi.org/10.1177/20552076251387056] DOI: https://doi.org/10.1177/20552076251387056

55. Green BN, Johnson CD, Adams A. Writing narrative literature reviews for peer-reviewed journals: secrets of the trade. J Chiropr Med. 2006: 101 [PMID: 19674681, https://doi.org/10.1016/S0899-3467(07)60142-6] DOI: https://doi.org/10.1016/S0899-3467(07)60142-6

Data Availability Statement

All data generated or analyzed during this study are included in this published article and its reference list. 

Downloads

Share this article

Published

2026-01-22

Issue

Section

Review Article

How to Cite

1.
Al-Qatefy A, Tolba A, Eldawy Z, Ghallab M. Cross-Cultural Application of the Beck Depression Inventory (BDI-I/II) for Assessing Adolescent Depression in Low- and Middle-Income Countries: A Critical Review of Evidence from the Last Quarter-Century. ASIDE Health Sci. 2026;2(2):24-32. doi:10.71079/ASIDE.HS.012226419

Article history

Received
9 Dec 2025
Received in revised form
14 Jan 2026
Accepted
19 Jan 2026
Published
22 Jan 2026