Skip to main content

Advertisement

Log in

Enduring mental health in the Baltimore epidemiologic catchment area follow-up study

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

Abstract

Purpose

To estimate the prevalence of enduring mental health (EMH) and examine important correlates of EMH 23 years later in the Baltimore Epidemiologic Catchment Area Follow-Up study.

Methods

We estimated the prevalence of EMH among 964 adults with diagnostic data at all four study waves (1981–2004). Those with EMH were compared to those with any mental or behavioral disorder by demographic, psychosocial, and health characteristics. We used forward selection models to identify the most important predictors of EMH.

Results

Twenty-six percent of participants met criteria for enduring mental health across the four waves. Neuroticism, GHQ-20 score, childhood conduct problems, female sex, maternal depression, and poor self-rated health were negatively associated with EMH.

Conclusions

We identified several malleable factors associated with a decreased likelihood of enduring mental health. Interventions that target high neuroticism, childhood conduct problems, or maternal depression may increase the likelihood that children achieve EMH later in life. Identifying and treating other factors such as poor self-reported health and greater psychological distress may also keep sub-clinical symptoms from developing into a full mental or behavioral disorder.

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

Similar content being viewed by others

References

  1. Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S (2013) Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380(9859):2197–2223

    Article  Google Scholar 

  2. Davydov DM, Stewart R, Ritchie K, Chaudieu I (2010) Resilience and mental health. Clin Psychol Rev 30(5):479–495

    Article  PubMed  Google Scholar 

  3. Schaefer JD, Caspi A, Belsky DW, Harrington H, Houts R, Horwood LJ, Hussong A, Ramrakha S, Poulton R, Moffitt TE (2017) Enduring mental health: Prevalence and prediction. J Abnormal Psychol 126(2):212

    Article  Google Scholar 

  4. Kessler RC, Amminger GP, Aguilar-Gaxiola S, Alonso J, Lee S, Ustun TB (2007) Age of onset of mental disorders: a review of recent literature. Cur Opin Psychiatry 20(4):359

    Article  Google Scholar 

  5. 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 

  6. Eaton W, Kalaydjian A, Scharfstein D, Mezuk B, Ding Y (2007) Prevalence and incidence of depressive disorder: the Baltimore ECA follow-up, 1981–2004. Acta Psychiatr Scand 116(3):182–188

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Badawi MA, Eaton WW, Myllyluoma J, Weimer L, Gallo J (1999) Psychopathology and attrition in the Baltimore ECA 15-year follow-up 1981–1996. Soc Psychiatry Psychiatric Epidemiol 34(2):91–98

    Article  CAS  Google Scholar 

  8. Robins LN, Cottler L, Keating S (1989) NIMH diagnostic interview schedule, version III, revised (DIS-III-R). Washington University, St Louis

    Google Scholar 

  9. Robins LN, Helzer JE, Croughan J, Williams JB, Spitzer RL (1981) NIMH diagnostic interview schedule: Version III. National Institute of Mental Health, Rockville

    Google Scholar 

  10. American Psychiatric Association (1980) Diagnostic and statistical manual (DSM-III), 3rd edn. American Psychiatric Association, Washington, D.C.

    Google Scholar 

  11. American Psychiatric Association (1987) Diagnostic and statistical manual of mental health disorders (DSM-III-R). American Psychiatric Association, Washington, D.C.

    Google Scholar 

  12. Costa PT, MacCrae RR (1992) Revised NEO personality inventory (NEO PI-R) and NEO five-factor inventory (NEO-FFI): Professional manual. Psychological Assessment Resources, Incorporated

    Google Scholar 

  13. Goldberg D, McDowell I, Newell C (1972) General Health Questionnaire (GHQ), 12 item version, 20 item version, 30 item version, 60 item version [GHQ12, GHQ20, GHQ30, GHQ60]. Measuring health: a guide to rating scales and questionnaire, 2nd edn, vol 181. Oxford, New York, pp 225–236

    Google Scholar 

  14. StataCorp (2015) Stata statistical software: release 14. StataCorp LP, College Station

    Google Scholar 

  15. Derksen S, Keselman HJ (1992) Backward, forward and stepwise automated subset selection algorithms: frequency of obtaining authentic and noise variables. Br J Math Stat Psychol 45(2):265–282

    Article  Google Scholar 

  16. McCrae RR, Costa PT Jr, Ostendorf F, Angleitner A, Hřebíčková M, Avia MD, Sanz J, Sanchez-Bernardos ML, Kusdil ME, Woodfield R (2000) Nature over nurture: Temperament, personality, and life span development. J Pers Soc Psychol 78(1):173

    Article  CAS  PubMed  Google Scholar 

  17. Gross AL, Gallo JJ, Eaton WW (2010) Depression and cancer risk: 24 years of follow-up of the Baltimore Epidemiologic Catchment Area sample. Cancer Causes control 21(2):191–199

    Article  PubMed  Google Scholar 

  18. Poulton R, Moffitt TE, Silva PA (2015) The Dunedin Multidisciplinary Health and Development Study: overview of the first 40 years, with an eye to the future. Soc Psychiatry Psychiatr Epidemiol 50(5):679–693

    Article  PubMed  PubMed Central  Google Scholar 

  19. Stanton WR (1996) From child to adult: the Dunedin multidisciplinary health and development study. Oxford University Press, Oxford

    Google Scholar 

  20. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Association

  21. Jylhä M (2009) What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med 69(3):307–316

    Article  PubMed  Google Scholar 

  22. Wootton JM, Frick PJ, Shelton KK, Silverthorn P (1997) Ineffective parenting and childhood conduct problems: the moderating role of callous-unemotional traits. J Consul Clin Psychol 65(2):301

    Article  CAS  Google Scholar 

  23. Rubin DB (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol 66(5):688

    Article  Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge the work of the entire ECA study team and the Baltimore City participants.

Funding

This research was supported by National Institute on Drug Abuse grant 5T32DA007292-25 (KES supported, PI: Johnson), National Institute of Mental Health grant 5T32MH014592-39 (CH and KBR supported, PI: Zandi), and National Institute on Aging grant 1U01AG052445 (WWE MPI with MPI Spira).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kristin E. Schneider.

Ethics declarations

Conflict of interest

No authors have any conflicts of interest to report.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 31 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schneider, K.E., Holingue, C., Roth, K.B. et al. Enduring mental health in the Baltimore epidemiologic catchment area follow-up study. Soc Psychiatry Psychiatr Epidemiol 54, 997–1006 (2019). https://doi.org/10.1007/s00127-019-01676-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00127-019-01676-z

Keywords

Navigation