Skip to main content

Advertisement

Log in

Empirically derived subtypes of serious emotional disturbance in a large adolescent sample

  • Original Paper
  • Published:
Social Psychiatry and Psychiatric Epidemiology Aims and scope Submit manuscript

Abstract

Purpose

The heterogeneity of serious emotional disturbance has been thoroughly documented among adolescents with nationally representative data derived from structured interviews, although use of these interviews may not be feasible within the context of brief and self-administered school surveys. This study seeks to identify distinct subtypes of serious emotional disturbance in a large school-based sample.

Methods

A total of 108,736 students fully completed the K6 scale that was included on the 2012 Kentucky Incentives for Prevention Survey. Latent class analysis was used to derive subtypes of serious emotional disturbance among students receiving a positive screen (n = 15,147). To determine significant predictors of class membership, adjusted rate ratios and 95 % confidence intervals were calculated using multinomial logistic regression.

Results

A four-class model was the most parsimonious, with four distinct subtypes emerging that varied by both symptom type and severity: comorbid moderate severity, comorbid high severity, anxious moderate severity, and depressed high severity. Age, gender, race/ethnicity, family structure, substance use, antisocial behavior, role impairments, and peer victimization were significant predictors of class membership, although the magnitude of these effects was stronger for the two high severity groups.

Conclusions

Our results suggest heterogeneity of serious emotional disturbance by both symptom type and severity. Prevention programs may benefit by shifting focus from specific disorders to the core features of serious emotional disturbance, including psychological distress, high comorbidity, and role impairments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Merikangas K, Avenevoli S, Costello J, Koretz D, Kessler RC (2009) National comorbidity survey replication adolescent supplement (NCS-A): I. Background and measures. J Am Acad Child Adolesc Psychiatry 48(4):367–369

    Article  PubMed Central  PubMed  Google Scholar 

  2. Kessler RC, Avenevoli S, Costello EJ, Georgiades K, Green JG, Gruber MJ et al (2012) Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Arch Gen Psychiatry 69(4):372–380

    Article  PubMed Central  PubMed  Google Scholar 

  3. Kessler RC, Avenevoli S, Costello J, Green JG, Gruber MJ, McLaughlin KA et al (2012) Severity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Arch Gen Psychiatry 69(4):381–389

    Article  PubMed Central  PubMed  Google Scholar 

  4. Merikangas KR, He JP, Burstein M, Swanson SA, Avenevoli S, Cui L et al (2010) Lifetime prevalence of mental disorders in US adolescents: results from the National Comorbidity Survey Replication-Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry 49(10):980–989

    Article  PubMed Central  PubMed  Google Scholar 

  5. Burstein M, Georgiades K, Lamers F, Swanson SA, Cui L, He JP et al (2012) Empirically derived subtypes of lifetime anxiety disorders: developmental and clinical correlates in US adolescents. J Consult Clin Psychol 80(1):102–115

    Article  PubMed Central  PubMed  Google Scholar 

  6. Lamers F, Burstein M, He JP, Avenevoli S, Angst J, Merikangas KR (2012) Structure of major depressive disorder in adolescents and adults in the US general population. Br J Psychiatry 201:143–150

    Article  PubMed Central  PubMed  Google Scholar 

  7. Costello EJ, Foley DL, Angold A (2006) 10-year research update review: the epidemiology of child and adolescent psychiatric disorders: II. Developmental epidemiology. J Am Acad Child Adolesc Psychiatry 45(1):8–25

    Article  PubMed  Google Scholar 

  8. Brauner CB, Stephens CB (2006) Estimating the prevalence of early childhood serious emotional/behavioral disorders: challenges and recommendations. Public Health Rep 121(3):303–310

    PubMed Central  PubMed  Google Scholar 

  9. Lewinsohn PM, Rohde P, Seeley JR (1995) Adolescent psychopathology: III. The clinical consequences of comorbidity. J Am Acad Child Adolesc Psychiatry 34(4):510–519

    Article  CAS  PubMed  Google Scholar 

  10. Wahlstedt C, Thorell LB, Bohlin G (2009) Heterogeneity in ADHD: neuropsychological pathways, comorbidity and symptom domains. J Abnorm Child Psychol 37(4):551–564

    Article  PubMed  Google Scholar 

  11. Fombonne E, Wostear G, Cooper V, Harrington R, Rutter M (2001) The Maudsley long-term follow-up of child and adolescent depression. 2. Suicidality, criminality and social dysfunction in adulthood. Br J Psychiatry 179:218–223

    Article  CAS  PubMed  Google Scholar 

  12. Muthen B, Muthen LK (2000) Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res 24(6):882–891

    Article  CAS  PubMed  Google Scholar 

  13. Williams S, Dahan J, Silverman WK, Pettit JW (2013) Heterogeneous classes of co-occurring externalizing symptoms in a sample of youth referred for anxiety disorders. J Anxiety Disord 27(3):340–346

    Article  PubMed  Google Scholar 

  14. Rodgers S, Grosse Holtforth M, Muller M, Hengartner MP, Rossler W, Ajdacic-Gross V (2014) Symptom-based subtypes of depression and their psychosocial correlates: a person-centered approach focusing on the influence of sex. J Affect Disord 156:92–103

    Article  PubMed  Google Scholar 

  15. Kessler RC, Chiu WT, Demler O, Merikangas KR, Walters EE (2005) Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 62(6):617–627

    Article  PubMed Central  PubMed  Google Scholar 

  16. Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine JP et al (2004) Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA 291(21):2581–2590

    Article  PubMed  Google Scholar 

  17. Kessler RC, Green JG, Gruber MJ, Sampson NA, Bromet E, Cuitan M et al (2010) Screening for serious mental illness in the general population with the K6 screening scale: results from the WHO World Mental Health (WMH) survey initiative. Int J Methods Psychiatr Res 19(Suppl 1):4–22

    Article  PubMed Central  PubMed  Google Scholar 

  18. Green JG, Gruber MJ, Sampson NA, Zaslavsky AM, Kessler RC (2010) Improving the K6 short scale to predict serious emotional disturbance in adolescents in the USA. Int J Methods Psychiatr Res 19(Suppl 1):23–35

    Article  PubMed Central  PubMed  Google Scholar 

  19. Li F, Green JG, Kessler RC, Zaslavsky AM (2010) Estimating prevalence of serious emotional disturbance in schools using a brief screening scale. Int J Methods Psychiatr Res 19(Suppl 1):88–98

    Article  PubMed Central  PubMed  Google Scholar 

  20. Peiper N, Clayton R, Wilson R, Illback R (2014) The performance of the K6 scale in a large school sample. Psychol Assess

  21. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E et al (2003) Screening for serious mental illness in the general population. Arch Gen Psychiatry 60(2):184–189

    Article  PubMed  Google Scholar 

  22. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL et al (2002) Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med 32(6):959–976

    Article  CAS  PubMed  Google Scholar 

  23. Sanders DH, Illback RJ, Crabtree L, Sanders D (2012) Kentucky incentives for prevention 2012. Kentucky Cabinet for Health and Family Services, Department for Behavioral Health, Developmental and Intellectual Disabilities, Division of Behavioral Health, Frankfort

  24. Muthén LK, Muthén B (2012) Mplus user’s guide (1998–2012). Los Angeles, CA

    Google Scholar 

  25. Nylund K, Asparouhov T, Muthén B (2007) Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Model 14(4):535–569

    Article  Google Scholar 

  26. Unick GJ, Snowden L, Hastings J (2009) Heterogeneity in comorbidity between major depressive disorder and generalized anxiety disorder and its clinical consequences. J Nerv Ment Dis 197(4):215–224

    Article  PubMed Central  PubMed  Google Scholar 

  27. Wadsworth ME, Hudziak JJ, Heath AC, Achenbach TM (2001) Latent class analysis of child behavior checklist anxiety/depression in children and adolescents. J Am Acad Child Adolesc Psychiatry 40(1):106–114

    Article  CAS  PubMed  Google Scholar 

  28. Neuman RJ, Heath A, Reich W, Bucholz KK, Madden PAF, Sun L et al (2001) Latent class analysis of ADHD and comorbid symptoms in a population sample of adolescent female twins. J Child Psychol Psychiatry 42(7):933–942

    Article  CAS  PubMed  Google Scholar 

  29. Ferdinand RF, de Nijs PF, van Lier P, Verhulst FC (2005) Latent class analysis of anxiety and depressive symptoms in referred adolescents. J Affect Disord 88(3):299–306

    Article  PubMed  Google Scholar 

  30. Ferdinand RF, van Lang ND, Ormel J, Verhulst FC (2006) No distinctions between different types of anxiety symptoms in pre-adolescents from the general population. J Anxiety Disord 20(2):207–221

    Article  PubMed  Google Scholar 

  31. Mezulis A, Stoep AV, Stone AL, McCauley E (2011) A latent class analysis of depressive and externalizing symptoms in nonreferred adolescents. J Emot Behav Disord 19(4):247–256

    Article  Google Scholar 

  32. Merikangas KR, Nakamura EF, Kessler RC (2009) Epidemiology of mental disorders in children and adolescents. Dialogues Clin Neurosci 11(1):7–20

    PubMed Central  PubMed  Google Scholar 

  33. Kessler RC, Avenevoli S, McLaughlin KA, Green JG, Lakoma MD, Petukhova M et al (2012) Lifetime co-morbidity of DSM-IV disorders in the US National Comorbidity Survey Replication Adolescent Supplement (NCS-A). Psychol Med 42(9):1997–2010

  34. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE (2005) Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 62(6):593–602

    Article  PubMed  Google Scholar 

  35. McCabe SE, Boyd CJ, Cranford JA, Teter CJ (2009) Motives for nonmedical use of prescription opioids among high school seniors in the United States: self-treatment and beyond. Arch Pediatr Adolesc Med 163(8):739–744

    Article  PubMed Central  PubMed  Google Scholar 

  36. McCabe SE, Boyd CJ, Young A (2007) Medical and nonmedical use of prescription drugs among secondary school students. J Adolesc Health 40(1):76–83

    Article  PubMed Central  PubMed  Google Scholar 

  37. McCabe SE, Cranford JA, Boyd CJ, Teter CJ (2007) Motives, diversion and routes of administration associated with nonmedical use of prescription opioids. Addict Behav 32(3):562–575

    Article  PubMed Central  PubMed  Google Scholar 

  38. Peiper N, Rodu B (2013) Evidence of sex differences in the relationship between current tobacco use and past-year serious psychological distress: 2005–2008 National Survey on Drug Use and Health. Soc Psychiatry Psychiatr Epidemiol 48(8):1261–1271

    Article  PubMed  Google Scholar 

  39. Husky MM, Mazure CM, Paliwal P, McKee SA (2008) Gender differences in the comorbidity of smoking behavior and major depression. Drug Alcohol Depend 93(1–2):176–179

    Article  PubMed Central  PubMed  Google Scholar 

  40. McKee SA, Maciejewski PK, Falba T, Mazure CM (2003) Sex differences in the effects of stressful life events on changes in smoking status. Addiction 98(6):847–855

    Article  PubMed  Google Scholar 

  41. Shearman AM, Demissie S, Cupples LA, Peter I, Schmid CH, Ordovas JM et al (2005) Tobacco smoking, estrogen receptor alpha gene variation and small low density lipoprotein level. Hum Mol Genet 14(16):2405–2413

    Article  CAS  PubMed  Google Scholar 

  42. Akbartabartoori M, Lean ME, Hankey CR (2006) Smoking combined with overweight or obesity markedly elevates cardiovascular risk factors. Eur J Cardiovasc Prev Rehabil 13(6):938–946

    Article  PubMed  Google Scholar 

  43. Kim HA, Lee SY, Kwon HS, Lee SH, Jung MH, Han K et al (2013) Gender differences in the association of insulin resistance with metabolic risk factors among Korean adolescents: Korea National Health and Nutrition Examination Survey 2008–2010. Diabetes Res Clin Pract 99(1):54–62

    Article  CAS  PubMed  Google Scholar 

  44. Park BJ, Shim JY, Lee HR, Jung DH, Lee JH, Lee YJ (2012) The relationship of platelet count, mean platelet volume with metabolic syndrome according to the criteria of the American Association of Clinical Endocrinologists: a focus on gender differences. Platelets 23(1):45–50

    Article  CAS  PubMed  Google Scholar 

  45. Lee MH, Ahn SV, Hur NW, Choi DP, Kim HC, Suh I (2011) Gender differences in the association between smoking and dyslipidemia: 2005 Korean National Health and Nutrition Examination Survey. Clin Chim Acta 412(17–18):1600–1605

    Article  CAS  PubMed  Google Scholar 

  46. Back JH, Lee Y (2011) Gender differences in the association between socioeconomic status (SES) and depressive symptoms in older adults. Arch Gerontol Geriatr 52(3):e140–e144

    Article  PubMed  Google Scholar 

  47. Isensee B, Wittchen HU, Stein MB, Hofler M, Lieb R (2003) Smoking increases the risk of panic: findings from a prospective community study. Arch Gen Psychiatry 60(7):692–700

    Article  PubMed  Google Scholar 

  48. Cosci F, Knuts IJ, Abrams K, Griez EJ, Schruers KR (2010) Cigarette smoking and panic: a critical review of the literature. J Clin Psychiatry 71(5):606–615

    Article  PubMed  Google Scholar 

  49. Cordina M, Fenech AG, Vassallo J, Cacciottolo JM (2009) Anxiety and the management of asthma in an adult outpatient population. Ther Adv Respir Dis 3(5):227–233

    Article  PubMed  Google Scholar 

  50. Lewis A, Miller JH, Lea RA (2007) Monoamine oxidase and tobacco dependence. Neurotoxicology 28(1):182–195

    Article  CAS  PubMed  Google Scholar 

  51. Cote F, Fligny C, Fromes Y, Mallet J, Vodjdani G (2004) Recent advances in understanding serotonin regulation of cardiovascular function. Trends Mol Med 10(5):232–238

    Article  CAS  PubMed  Google Scholar 

  52. Mosovich SA, Boone RT, Reichenberg A, Bansilal S, Shaffer J, Dahlman K et al (2008) New insights into the link between cardiovascular disease and depression. Int J Clin Pract 62(3):423–432

    Article  CAS  PubMed  Google Scholar 

  53. Grant BF, Hasin DS, Chou SP, Stinson FS, Dawson DA (2004) Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry 61(11):1107–1115

    Article  PubMed  Google Scholar 

  54. Kann L, Kinchen S, Shanklin SL, Flint KH, Kawkins J, Harris WA et al (2014) Youth risk behavior surveillance–United States, 2013. MMWR Surveill Summ 63(Suppl 4):1–168

    PubMed  Google Scholar 

  55. King KA, Vidourek RA, Merianos AL (2013) Sex and grade level differences in lifetime nonmedical prescription drug use among youth. J Prim Prev 34(4):237–249

    Article  PubMed  Google Scholar 

  56. Wu LT, Pilowsky DJ, Patkar AA (2008) Non-prescribed use of pain relievers among adolescents in the United States. Drug Alcohol Depend 94(1–3):1–11

    Article  PubMed Central  PubMed  Google Scholar 

  57. Boyd CJ, Esteban McCabe S, Teter CJ (2006) Medical and nonmedical use of prescription pain medication by youth in a Detroit-area public school district. Drug Alcohol Depend 81(1):37–45

    Article  PubMed Central  PubMed  Google Scholar 

  58. Boyd CJ, McCabe SE, Cranford JA, Young A (2007) Prescription drug abuse and diversion among adolescents in a southeast Michigan school district. Arch Pediatr Adolesc Med 161(3):276–281

    Article  PubMed  Google Scholar 

  59. Breslau N, Klein DF (1999) Smoking and panic attacks: an epidemiologic investigation. Arch Gen Psychiatry 56(12):1141–1147

    Article  CAS  PubMed  Google Scholar 

  60. Johnson JG, Cohen P, Pine DS, Klein DF, Kasen S, Brook JS (2000) Association between cigarette smoking and anxiety disorders during adolescence and early adulthood. JAMA 284(18):2348–2351

    Article  CAS  PubMed  Google Scholar 

  61. Mojtabai R, Crum RM (2013) Cigarette smoking and onset of mood and anxiety disorders. Am J Public Health 103(9):1656–1665

    Article  PubMed Central  PubMed  Google Scholar 

  62. Moylan S, Jacka FN, Pasco JA, Berk M (2012) Cigarette smoking, nicotine dependence and anxiety disorders: a systematic review of population-based, epidemiological studies. BMC Med 10:123

    Article  PubMed Central  PubMed  Google Scholar 

  63. Huurre T, Lintonen T, Kaprio J, Pelkonen M, Marttunen M, Aro H (2010) Adolescent risk factors for excessive alcohol use at age 32 years. A 16-year prospective follow-up study. Soc Psychiatry Psychiatr Epidemiol 45(1):125–134

    Article  PubMed  Google Scholar 

  64. Breslau J, Aguilar-Gaxiola S, Kendler KS, Su M, Williams D, Kessler RC (2006) Specifying race-ethnic differences in risk for psychiatric disorder in a USA national sample. Psychol Med 36(1):57–68

    Article  PubMed Central  PubMed  Google Scholar 

  65. Chae DH, Takeuchi DT, Barbeau EM, Bennett GG, Lindsey J, Krieger N (2008) Unfair treatment, racial/ethnic discrimination, ethnic identification, and smoking among Asian Americans in the National Latino and Asian American Study. Am J Public Health 98(3):485–492

    Article  PubMed Central  PubMed  Google Scholar 

  66. Chae DH, Takeuchi DT, Barbeau EM, Bennett GG, Lindsey JC, Stoddard AM et al (2008) Alcohol disorders among Asian Americans: associations with unfair treatment, racial/ethnic discrimination, and ethnic identification (the national Latino and Asian Americans study, 2002–2003). J Epidemiol Community Health 62(11):973–979

    Article  CAS  PubMed  Google Scholar 

  67. Gee GC, Delva J, Takeuchi DT (2007) Relationships between self-reported unfair treatment and prescription medication use, illicit drug use, and alcohol dependence among Filipino Americans. Am J Public Health 97(5):933–940

    Article  PubMed Central  PubMed  Google Scholar 

  68. Nguyen KH, Subramanian SV, Sorensen G, Tsang K, Wright RJ (2012) Influence of experiences of racial discrimination and ethnic identity on prenatal smoking among urban black and Hispanic women. J Epidemiol Community Health 66(4):315–321

    Article  PubMed  Google Scholar 

  69. Harald B, Gordon P (2012) Meta-review of depressive subtyping models. J Affect Disord 139(2):126–140

    Article  PubMed  Google Scholar 

  70. Quitkin FM, Stewart JW, McGrath PJ, Liebowitz MR, Harrison WM, Tricamo E et al (1988) Phenelzine versus imipramine in the treatment of probable atypical depression: defining syndrome boundaries of selective MAOI responders. Am J Psychiatry 145(3):306–311

    Article  CAS  PubMed  Google Scholar 

  71. March J, Silva S, Vitiello B, Team T (2006) The treatment for adolescents with depression study (TADS): methods and message at 12 weeks. J Am Acad Child Adolesc Psychiatry 45(12):1393–1403

    Article  PubMed  Google Scholar 

  72. Lewinsohn PM, Allen NB, Seeley JR, Gotlib IH (1999) First onset versus recurrence of depression: differential processes of psychosocial risk. J Abnorm Psychol 108(3):483–489

    Article  CAS  PubMed  Google Scholar 

  73. Rao U, Hammen C, Daley SE (1999) Continuity of depression during the transition to adulthood: a 5-year longitudinal study of young women. J Am Acad Child Adolesc Psychiatry 38(7):908–915

    Article  CAS  PubMed  Google Scholar 

  74. McGorry P, Bates T, Birchwood M (2013) Designing youth mental health services for the 21st century: examples from Australia, Ireland and the UK. Br J Psychiatry Suppl 54:s30–s35

    Article  PubMed  Google Scholar 

  75. Illback RJ, Bates T (2011) Transforming youth mental health services and supports in Ireland. Early Interv Psychiatry 5(Suppl 1):22–27

    Article  PubMed  Google Scholar 

  76. Angst J, Gamma A, Benazzi F, Ajdacic V, Rossler W (2007) Melancholia and atypical depression in the Zurich study: epidemiology, clinical characteristics, course, comorbidity and personality. Acta Psychiatr Scand Suppl 433:72–84

    Article  PubMed  Google Scholar 

  77. Lewinsohn PM, Pettit JW, Joiner TE Jr, Seeley JR (2003) The symptomatic expression of major depressive disorder in adolescents and young adults. J Abnorm Psychol 112(2):244–252

    Article  PubMed  Google Scholar 

  78. Nandi A, Beard JR, Galea S (2009) Epidemiologic heterogeneity of common mood and anxiety disorders over the lifecourse in the general population: a systematic review. BMC Psychiatry 9:31

    Article  PubMed Central  PubMed  Google Scholar 

  79. Roberts RE, Lewinsohn PM, Seeley JR (1995) Symptoms of DSM-III-R major depression in adolescence: evidence from an epidemiological survey. J Am Acad Child Adolesc Psychiatry 34(12):1608–1617

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

Data collection for this study was made possible through the Substance Abuse Prevention Program in the Kentucky Cabinet for Health and Family Services. This research was supported by Grant SP019436-01-2 funded by the Center for Substance Abuse Prevention at the United States Substance Abuse and Mental Health Services Administration. We thank Connie Smith and Steve Cambron for their leadership on the initiative as well as the members of the Kentucky State Epidemiological Outcomes Workgroup for their ongoing contributions.

Conflict of interest

No authors declare a conflict of interest. The terms of the grants assure that the sponsors are unaware of this study, and thus had no scientific input or other influence with respect to its design, analysis, interpretation or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicholas Peiper.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peiper, N., Clayton, R., Wilson, R. et al. Empirically derived subtypes of serious emotional disturbance in a large adolescent sample. Soc Psychiatry Psychiatr Epidemiol 50, 983–994 (2015). https://doi.org/10.1007/s00127-015-1017-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00127-015-1017-2

Keywords

Navigation