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Factor structure and measurement invariance of the Mood and Feelings Questionnaire: a cross-cultural study among Thai and British adolescents

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Abstract

The Mood and Feelings Questionnaire—child self-report (MFQ-C) is a widely used measure of child and adolescent depression. This study evaluated possible factor solutions and examined the measurement invariance of the MFQ-C as a prerequisite for its use in cross-cultural comparisons between Thai (N = 1272) and British samples (N = 1817) by using multigroup confirmatory factor analysis (MGCFA). The latent means of Thai and British samples were also examined. A five-factor structure of the MFQ-C was confirmed through confirmatory factor analysis. A partial scalar invariant model was supported, and thus latent means were compared, with British adolescents reporting significantly higher mean MFQ-C scores than Thai adolescents on four of the five factors (Vegetative Symptoms, Suicidality, Cognitive Symptoms, Agitated Distress). There was no difference for the Core Symptoms factor. The findings also suggest that the MFQ-C is a valid measure to assess depression in Thai and British adolescents and maybe useful in cross-cultural comparisons of adolescent depression.

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Data availability

The datasets and other materials used during the current study are available from the corresponding author upon reasonable request.

References

  1. Avenevoli S, Swendsen J, He JP, Burstein M, Merikangas KR (2015) Major depression in the national comorbidity survey-adolescent supplement: prevalence, correlates, and treatment. J Am Acad Child Adolesc Psychiatry 54(1):37-44.e2. https://doi.org/10.1016/j.jaac.2014.10.010

    Article  PubMed  Google Scholar 

  2. Kroning M, Kroning K (2016) Teen depression and suicide a silent crisis. J Christ Nurs 33(2):78–86. https://doi.org/10.1097/CNJ.0000000000000254

    Article  PubMed  Google Scholar 

  3. Rudolph KD, Flynn M (2014) Depression in adolescents. In: Gotlib IH, Hammen CL (eds) Handbook of depression third edition, 3rd edn. Guilford Press, New York, pp 391–402

    Google Scholar 

  4. He J, van de Vijver F (2012) Bias and equivalence in cross-cultural research. Online Read Psychol Cult 2(2):3–19. https://doi.org/10.9707/2307-0919.1111

    Article  Google Scholar 

  5. Angold A. Mood and Feelings Questionnaire (MFQ) [Internet]. 1987. Available from: https://devepi.duhs.duke.edu/files/2018/03/Dear-potential-MFQ-user.pdf. Accessed 9 Nov 2020

  6. Kovacs M. Children’s Depression Inventory CDI Manual. New York Multi-Health Syst [Internet]. 1992;1–800. Available from: http://www.pearsonclinical.co.uk/Psychology/ generic/ChildrensDepressionInventory(CDI)/Resources/Technical.pdf

  7. Radloff LS (1997) The CES-D Scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1(3):385–401

    Article  Google Scholar 

  8. Kohrt BA, Rasmussen A, Kaiser BN, Haroz EE, Maharjan SM, Mutamba BB et al (2014) Cultural concepts of distress and psychiatric disorders: literature review and research recommendations for global mental health epidemiology. Int J Epidemiol 43(2):365–406

    Article  PubMed  Google Scholar 

  9. Chentsova-Dutton YE, Choi E, Ryder AG, Reyes J (2015) I felt sad and did not enjoy life: cultural context and the associations between anhedonia, depressed mood, and momentary emotions. Transcult Psychiatry. https://doi.org/10.1177/1363461514565850

    Article  PubMed  Google Scholar 

  10. Iwata N, Buka S (2002) Race/ethnicity and depressive symptoms: a cross-cultural/ethnic comparison among university students in East Asia, North and South America. Soc Sci Med. https://doi.org/10.1016/S0277-9536(02)00003-5

    Article  PubMed  Google Scholar 

  11. Shafi AMA, Shafi RMA (2014) Cultural influences on the presentation of depression. Open J Psychiatry 4:390–395

    Article  Google Scholar 

  12. Way BM, Lieberman MD (2010) Is there a genetic contribution to cultural differences? Collectivism, individualism and genetic markers of social sensitivity. Soc Cogn Affect Neurosci. https://doi.org/10.1093/scan/nsq059

    Article  PubMed  PubMed Central  Google Scholar 

  13. Roberts RE, Lewinsohn PM, Seeley JR (1991) Screening for adolescent depression: a comparison of depression scales. J Am Acad Child Adolesc Psychiatry 30(1):58–66. https://doi.org/10.1097/00004583-199101000-00009

    Article  CAS  PubMed  Google Scholar 

  14. Tsang S, Royse CF, Terkawi AS (2017) Guidelines for developing, translating, and validating a question perioperative and pain medicine. Saudi J Anaesth 11:80–89. https://doi.org/10.4103/sja.SJA_203_17

    Article  Google Scholar 

  15. Vandenberg RJ, Lance CE (2000) A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ Res Methods 3:4–70. https://doi.org/10.1177/109442810031002

    Article  Google Scholar 

  16. Bowen NK, Masa RD (2015) Conducting measurement invariance tests with ordinal data: a guide for social work researchers. J Soc Social Work Res 6(2):229–246

    Article  Google Scholar 

  17. Stevanovic D, Jafari P, Knez R, Franic T, Atilola O, Davidovic N et al (2017) Can we really use available scales for child and adolescent psychopathology across cultures? A systematic review of cross-cultural measurement invariance data. Transcult Psychiatry 54(1):125–152. https://doi.org/10.1177/1363461516689215

    Article  PubMed  Google Scholar 

  18. Juhasz G, Eszlari N, Pap D, Gonda X (2012) Cultural differences in the development and characteristics of depression. Neuropsychopharmacol Hungarica 14(4):259–265

    Google Scholar 

  19. Milfont TL, Fischer R (2010) Testing measurement invariance across groups: applications in cross-cultural research. Int J Psychol Res 3(1):111–121. https://doi.org/10.21500/20112084.857

    Article  Google Scholar 

  20. Steenkamp JBEM, Baumgartner H (1998) Assessing measurement invariance in cross-national consumer research. J Consum Res 25:78–90. https://doi.org/10.1086/209528

    Article  Google Scholar 

  21. Van de Vijver F, Tanzer NK (2004) Bias and equivalence in cross-cultural assessment: an overview. Rev Eur Psychol Appl 54(2):119–135. https://doi.org/10.1016/j.erap.2003.12.004

    Article  Google Scholar 

  22. Byrne BM (2010) Factor analytic models: viewing the structure of an assessment instrument from three perspectives. J Pers Assess 85(1):17–32. https://doi.org/10.1207/s15327752jpa8501_02

    Article  Google Scholar 

  23. Putnick DL, Bornstein MH (2016) Measurement invariance conventions and reporting: the state of the art and future directions for psychological research. Develop Rev. https://doi.org/10.1016/j.dr.2016.06.004

    Article  Google Scholar 

  24. NICE. Depression in children and young people: identification and management [Internet]. 2019. p. 13–6. Available from: https://www.nice.org.uk/guidance/cg28/resources/depression-in-children-and-young-people-identification-and-management-pdf-975332810437

  25. Daviss BW, Birmaher B, Melhem NA, Axelson DA, Michaels SM, Brent DA (2006) Criterion validity of the mood and feelings questionnaire for depressive episodes in clinic and non-clinic subjects. J Child Psychol Psychiatry Allied Discip 47(9):927–934. https://doi.org/10.1111/j.1469-7610.2006.01646.x

    Article  Google Scholar 

  26. Kent L, Vostanis P, Feehan C (1997) Detection of major and minor depression in children and adolescents: evaluation of the mood and feelings questionnaire. J Child Psychol Psychiatry 38(5):565–573. https://doi.org/10.1111/j.1469-7610.1997.tb01543.x

    Article  CAS  PubMed  Google Scholar 

  27. Wood A, Kroll L, Moore A (1995) Properties of the mood and feelings questionnaire in adolescent psychiatric outpatients: a research note. J Child Psychol Psychiatry 36(2):327–334. https://doi.org/10.1111/j.1469-7610.1995.tb01828.x

    Article  CAS  PubMed  Google Scholar 

  28. Tavitian L, Atwi M, Bawab S, Hariz N, Zeinoun P, Khani M et al (2014) The arabic mood and feelings questionnaire: psychometrics and validity in a clinical sample. Child Psychiatry Hum Dev 45(3):361–368. https://doi.org/10.1007/s10578-013-0406-6

    Article  PubMed  Google Scholar 

  29. Sund AM, Larsson B, Wichstrøm L (2001) Depressive symptoms among young Norwegian adolescents as measured by the mood and feelings questionnaire (MFQ). Eur Child Adolesc Psychiatry 10(4):222–229. https://doi.org/10.1007/s007870170011

    Article  CAS  PubMed  Google Scholar 

  30. Jarbin H, Ivarsson T, Andersson M, Bergman H, Skarphedinsson G (2020) Screening efficiency of znaire (MFQ) and short mood and feelings questionnaire (SMFQ) in Swedish help seeking outpatients. PLoS ONE. https://doi.org/10.1371/journal.pone.0230623

    Article  PubMed  PubMed Central  Google Scholar 

  31. Kim H, Kim K, Kim J-W (2020) the reliability and validity of the korean version of the mood and feelings questionnaire for depression in youth: a cross-cultural perspective. Child Psychiatry Hum Dev. https://doi.org/10.1007/s10578-020-01026-0

    Article  PubMed  Google Scholar 

  32. Eg J, Bilenberg N, Costello EJ, Wesselhoeft R (2018) Self- and parent-reported depressive symptoms rated by the mood and feelings questionnaire. Psychiatry Res 268:419–425. https://doi.org/10.1016/j.psychres.2018.07.016

    Article  PubMed  Google Scholar 

  33. Fuseekul N, Orchard F, Reynolds S (2021) Psychometric properties of the Thai mood and feelings questionnaire (MFQ) for adolescent depression. Child Adolesc Psychiatry Ment Health. https://doi.org/10.1186/s13034-021-00372-8

    Article  PubMed  PubMed Central  Google Scholar 

  34. Angold A, Costello EJ, Messer SC (1995) Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. Int J Method Psychiatr Res 5:237–249

    Google Scholar 

  35. Banh MK, Crane PK, Rhew I, Gudmundsen G, Vander SA, Lyon A et al (2012) Measurement equivalence across racial/ethnic groups of the mood and feelings questionnaire for childhood depression. J Abnorm Child Psychol 40(3):353–367. https://doi.org/10.1007/s10802-011-9569-4

    Article  PubMed  PubMed Central  Google Scholar 

  36. Jeffreys M, Rozenman M, Gonzalez A, Warnick EM, Dauser C, Scahill L et al (2016) Factor structure of the parent-report mood and feelings questionnaire (MFQ) in an outpatient mental health sample. J Abnorm Child Psychol. https://doi.org/10.1007/s10802-015-0108-6

    Article  PubMed  Google Scholar 

  37. Fernandez-Martinez I, Morales A, Espada JP, Orgiles M (2020) Psychometric properties and factorial structure of the Spanish version of the parent-report Mood and Feelings Questionnaire (MFQ-P). Clin Child Psychol Psychiatry 25(2):533–544. https://doi.org/10.1177/1359104519897939

    Article  PubMed  Google Scholar 

  38. Beauducel A, Herzberg YP (2006) On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Struct Equ Model 13(2):186–203. https://doi.org/10.1207/s15328007sem1302_2

    Article  Google Scholar 

  39. Muthén LK, Muthén BO. Mplus: The comprehensive modelling program for applied researchers: User’s guide. 2015. 5

  40. Jeffreys M, Rozenman M, Gonzalez A, Warnick EM, Dauser C, Scahill L et al (2016) Factor structure of the parent-report Mood and Feelings Questionnaire (MFQ) in an outpatient mental health sample. J Abnorm Child Psychol 44:1111–1120. https://doi.org/10.1007/s10802-015-0108-6

    Article  PubMed  Google Scholar 

  41. Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model. https://doi.org/10.1080/10705519909540118

    Article  Google Scholar 

  42. Cheung GW, Rensvold RB (2002) Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Model. https://doi.org/10.1207/S15328007SEM0902_5

    Article  Google Scholar 

  43. Lei M, Lomax RG (2005) The effect of varying degrees of nonnormality in structural equation modeling. Struct Equ Model. https://doi.org/10.1207/s15328007sem1201_1

    Article  Google Scholar 

  44. Chen FF (2007) Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model 14(3):464–504. https://doi.org/10.1080/10705510701301834

    Article  Google Scholar 

  45. Byrne BM (2001) Structural equation modeling with AMOS: basic concepts. Appl Program Mahwah, New Jersey

    Google Scholar 

  46. Yoon M, Millsap RE (2007) Detecting violations of factorial invariance using data-based specification searches: a Monte Carlo study. Struct Equ Model 14(3):435–463. https://doi.org/10.1080/10705510701301677

    Article  Google Scholar 

  47. Rhudy J, Arnau RC, Lannon EW, Kuhn BL, Palit S et al (2020) Examining configural, metric, and scalar invariance of the pain catastrophizing scale in native American and non-hispanic white adults in the oklahoma study of native american pain risk (OK-SNAP). J Pain Res 6(13):961–969

    Article  Google Scholar 

  48. Vandenberg RJ, Lance CE (2000) A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ Res Methods 3(1):4–70. https://doi.org/10.1177/109442810031002

    Article  Google Scholar 

  49. Byrne BM. 2001 Structural equation modeling with AMOS: Basic concepts, Applications, and Programming. Applications, and Programming, Mahwah, New Jersey. New Jersey, USA: Lawrence Erlbaum Associates. 200–224

  50. Byrne BM, Shavelson RJ, Muthén B (1989) Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance. Psychol Bull 105:456

    Article  Google Scholar 

  51. Jung E, Yoon M (2016) Two-step approach to partial factorial invariance: selecting a reference variable and identifying the source of noninvariance. Struct Equ Model 24:1–15. https://doi.org/10.1080/10705511.2016.1251845

    Article  Google Scholar 

  52. Whittaker TA (2012) Using the modification index and standardized expected parameter change for model modification. J Exp Educ 80(1):26–44. https://doi.org/10.1080/00220973.2010.531299

    Article  Google Scholar 

  53. Dimitrov DM (2010) Testing for factorial invariance in the context of construct validation. Meas Eval Couns Dev 2017:43. https://doi.org/10.1177/0748175610373459

    Article  Google Scholar 

  54. Department of Mental Health. The Prevalence of Major Depressive Disorder in Thai Population Aged 15 and over. Bangkok. (2019). http://healthkpi.moph.go.th/kpi/kpi-list/view/?id=780

  55. Matsumoto D, Yoo SH, Chung J (2010) The expression of anger across cultures. Int Handbook Anger. https://doi.org/10.1007/978-0-387-89676-2_8

    Article  Google Scholar 

  56. Butler EA, Lee TL, Gross JJ (2007) Emotion regulation and culture: are the social consequences of emotion suppression culture-specific? Emotion. https://doi.org/10.1037/1528-3542.7.1.30

    Article  PubMed  Google Scholar 

  57. Weiss B, Tram JM, Weisz JR, Rescorla L, Achenbach TM (2009) Differential symptom expression and somatization in Thai versus US. Children J Consult Clin Psychol. https://doi.org/10.1037/a0016779

    Article  PubMed  Google Scholar 

  58. Holmes H, Tangtongtavy S. Working with the Thais. Second. Bangkok: White Lotus; 2000. 55–59 p.

  59. Yen S, Robins CJ, Lin N (2000) A cross-cultural comparison of depressive symptom manifestation: China and the United States. J Consult Clin Psychol 68(6):993–999. https://doi.org/10.1037/0022-006X.68.6.993

    Article  CAS  PubMed  Google Scholar 

  60. Wu W, Lu Y, Tan F, Yao S, Steca P, Abela JRZ et al (2012) Assessing measurement invariance of the children’s depression inventory in Chinese and Italian primary school student samples. Assessment. https://doi.org/10.1177/1073191111421286

    Article  PubMed  Google Scholar 

  61. Huang V, Beshai S, Yu M (2016) The effects of the gender-culture interaction on self-reports of depressive symptoms: cross-cultural study amone Egyptians and Canadians. PeerJ. https://doi.org/10.7717/peerj.2783

    Article  PubMed  PubMed Central  Google Scholar 

  62. Ryder AG, Yang J, Zhu X, Yao S, Yi J, Heine SJ et al (2008) The Cultural shaping of depression: somatic symptoms in china, psychological symptoms in North America? J Abnorm Psychol 117(2):300–313. https://doi.org/10.1037/0021-843X.117.2.300

    Article  PubMed  Google Scholar 

  63. Stewart SM, Kennard BD, Hughes CW, Mayes TL, Emslie GJ, Lee PWH et al (2004) A cross-cultural investigation of cognitions and depressive symptoms in adolescents. J Abnorm Psychol. https://doi.org/10.1037/0021-843X.113.2.248

    Article  PubMed  Google Scholar 

  64. Lu W (2019) Adolescent depression: national trends, risk factors, and healthcare disparities. Am J Health Behav 43(1):181–194. https://doi.org/10.5993/AJHB.43.1.15

    Article  PubMed  Google Scholar 

  65. Racine N, McArthur BA, Cooke JE, Eirich R, Zhu J, Madigan S (2021) Global prevalence of depressive and anxiety symptoms in children and adolescents during COVID-19: a Meta-analysis. JAMA Pediatr. https://doi.org/10.1001/jamapediatrics.2021.2482

    Article  PubMed  PubMed Central  Google Scholar 

  66. Thapar A, Collishaw S, Pine DS, Thapar AK (2012) Depression in adolescence. Lancet 379:1059–1067. https://doi.org/10.1016/S0140-6736(11)60871-4

    Article  Google Scholar 

  67. Vares EA, Salum GA, Spanemberg L, Caldleraro MA, Fleck MP (2015) Depression dimensions: integrating clinical signs and symptoms from the perspectives of clinicians and patients. PLoS ONE. https://doi.org/10.1371/journal.pone.0136037

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

Nanthaka Supreeyaporn is funded by the Faculty of Education, Chiang Mai University, Thailand.

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Authors

Contributions

NS, RW, FO, and PJ contributed to study design of the present study. NS and RW independently recruited participants and collected the MFQ in Thailand (NS) and in the (UK). NS analyzed the data, supervised by SD. NS wrote the manuscript with input from PJ, SD, FO, and SR. All authors read and approved the final manuscript.

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Correspondence to Nanthaka Supreeyaporn.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval and consent to participate

This study was approved by University of Reading Research Ethics Committee, the UK (SREC 2018/105) and Chiang Mai University Research Ethic Committee, Thailand (CMUREC 61/073).

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All individual participants included in the study provided consent to publish their data to a journal.

Informed consent

In the UK, parental opt-out consent and participant opt-in assent was obtained for young people under 16, and participant opt-in consent was obtained for participants aged 16 and over. In Thailand, parental opt-out consent and participant opt-in assent were obtained from young people under 18 years of age based on standards prescribed by Chiang Mai University Research Ethic Committee.

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Supreeyaporn, N., Watson, R., Damrongpanit, S. et al. Factor structure and measurement invariance of the Mood and Feelings Questionnaire: a cross-cultural study among Thai and British adolescents. Eur Child Adolesc Psychiatry (2023). https://doi.org/10.1007/s00787-023-02268-8

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