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American Journal of Epidemiology Advance Access originally published online on October 3, 2008
American Journal of Epidemiology 2008 168(9):977-979; doi:10.1093/aje/kwn298
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American Journal of Epidemiology © 2008 The Authors
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Psychiatric Epidemiology: Reducing the Global Burden of Mental Illness

Stephen L. Buka

From the Epidemiology Section, Department of Community Health, Brown University, Providence, RI

Correspondence to Dr. Stephen L. Buka from the Epidemiology Section, Department of Community Health, Brown University, 121 South Main Street, Providence, RI 02912 (e-mail: sbuka{at}brown.edu).

Received for publication August 12, 2008. Accepted for publication August 25, 2008.

Few areas of medicine have posed a greater challenge to the adoption of a population-level or epidemiologic approach than psychiatry. From the privacy required for many therapeutic methods to the complexity and seeming individuality of each patient, the history and nature of mental illness has often appeared antithetical to the epidemiologic method. At the same time, the prevalence, severity, and overall burden of morbidity and mortality represented by mental disorders reflects an urgent global public health concern ripe for the application of epidemiology. The gains realized through advances in psychiatric epidemiology over the past decade, the resulting potential of an empirically informed, population-oriented approach to reducing the global burden of mental illness, and major methodological challenges for the field are highlighted in the current issue of Epidemiologic Reviews, which accompanies this issue of the Journal.

It has been over a decade since the last issue of Epidemiologic Reviews dedicated to psychiatric epidemiology appeared in 1995. Despite impressive advances in genetics, neuroscience, brain imaging, and other technologies during these past 13 years, the scope and magnitude of the problem are no less demanding. High-quality epidemiologic investigations in the United States and worldwide have yielded quite consistent estimates of the prevalence of major mental disorders. Data from the recent replication of the National Comorbidity Survey, a representative sample of US adults, suggest that an estimated 13 million American adults (approximately 1 in 17) have a seriously debilitating mental illness (1, 2).

The strikingly prominent place of mental disorders in the total pattern of morbidity and mortality worldwide was highlighted in the World Health Organization's initial Global Burden of Disease (3) report, a finding that has been sustained in recent updates (4). According to World Health Organization estimates for 2002, mental health disorders are the leading cause of disability in the United States and Canada, accounting for 25% of all years of life lost to disability and premature mortality (4). Worldwide, it is estimated that mental disorders account for 12% of disability-adjusted life years. In terms of mortality, suicide alone is the 11th leading cause of death in the United States, with approximately 30,000 deaths per year (5), and this is an issue of concern worldwide as well. Estimating the costs associated with mental illness is challenging, but estimates suggest annual treatment costs in the United States of $100 billion, with significantly more for indirect costs; $193 billion per year is estimated for lost earnings alone (2).

While these findings reveal concrete developments in the foundations of psychiatric epidemiology (standardized and replicated nosology; high-quality prevalence estimates), advances in the identification of risk factors, etiologic mechanisms, and preventive interventions have been more modest. For instance, a 2004 literature review commissioned by the National Institute of Mental Health revealed that while there has been considerable growth in the number of high-quality longitudinal studies with well-characterized psychiatric outcomes, there is strikingly little consistency in the coverage, measurement, and (therefore) replication of potential risk factors across investigations (6). Clearly, considerable ground remains to be covered in psychiatric epidemiology to move from statements of prevalence to insights regarding disease etiology and prevention.

The forthcoming issue of Epidemiologic Reviews provides an informative summary of many of these strengths and challenges in psychiatric epidemiology. The 10 articles in the issue provide a succinct presentation of the many contributions the field brings to broadening the knowledge base and investigating strategies for disease prevention in the realm of mental illness. These include: 1) detailed narrative reviews of the epidemiology of individual disorders (schizophrenia (7), suicide (8), and Alzheimer's disease (9)); 2) systematic reviews and meta-analyses of exposure-disease associations of long-standing interest (place of residence/neighborhood attributes and risks of both depression (10) and psychosis (11), working conditions and depression (12), premorbid intelligence quotient and psychosis (13)); 3) major findings and methodological advances regarding the analysis of co-occurring or "comorbid" forms of psychopathology (14); 4) challenges and opportunities in moving from observational studies to preventive clinical trials (15); and 5) an overarching summary of the prevalence, impairment, and cost associated with 11 major mental disorders of adults (16).

One clear sign of encouragement from this body of work is that the number of well-conducted prospective and cross-sectional population-based studies is considerable and growing. On the basis of these studies, the authors in this special issue have been able to not only summarize more accurately the prevalence and incidence of major adult disorders but, more interestingly, also discern meaningful variation in disease distributions that set the stage for new etiologic investigations. For example, Nock et al.'s review of global suicide and suicidal behavior (8) concludes that "the significant cross-national variability... appears to reflect the true nature of this behavior and is not due to variation in research methods" and proceeds to elaborate new methodological and theoretical advances that are likely to yield new insight into the origins of these behaviors. Similarly, McGrath et al. (7) challenge the common perception that the incidence and prevalence of schizophrenia are relatively even across regions, and they highlight a number of potential risk factors related to urbanicity, economic status, migrant status, and latitude that might play an etiologic role and account for this variation. Despite these positive advances, Eaton et al.'s summary of the "global burden" associated with adult mental disorders (16) provides succinct guidance by highlighting a number of disorders for which basic incidence and prevalence data are sparse and how extremely limited are even the most rudimentary data on disability, mortality, and costs.

With a focus on a range of potential etiologic factors ranging from social conditions to specific polymorphisms, psychiatric epidemiology has been and should continue to be recognized as related to but distinct from other branches of our discipline, most notably social epidemiology (17). At the same time, the methodological and conceptual advancements of social epidemiology have enhanced a long-standing tradition of inquiry into the impact of the broader social environment on the genesis of mental illness. These cross-fertilizations are elegantly displayed with the work of March et al. (11) and Kim (12). Kim's systematic review of 28 studies (12) supports a positive association between neighborhood social disorder and depression and to a lesser extent suggests protective effects for neighborhood socioeconomic status. March et al. (11) observe positive associations between urbanicity, ethnic density, social isolation, and nonaffective (but not affective) psychoses. Both papers provide a compelling impetus for new lines of inquiry and the possibility of community-level (rather than more traditional individual-level) interventions for the prevention or minimization of these high-burden disorders. Finally, the contribution by Cerda et al. (14) reminds us that while most investigators consider single disease endpoints, co-occurrence or comorbidity both is common and greatly increases the burden on patient and society. Their careful summary of findings from 58 articles documents the extent of comorbidity, summarizes conceptual approaches that will be needed to account for it, and makes valuable recommendations for the future research that will be required to obtain new insight into the pathways leading to such co-occurrence.

This special issue of Epidemiologic Reviews provides an excellent summary of the ground covered and the road ahead regarding the epidemiologic investigation and public health strategies needed to reduce the prevalence, severity, and impairment resulting from mental illness. It provides high-quality, well-written summaries of large bodies of literature and sheds new light on both the limitations of standard epidemiologic approaches in this arena and valuable future directions for the field. Old-timers in the field will read it with a sense of appreciation for the advances we have made, while newcomers will be energized and stimulated by an awareness of the immediacy of the problem and the clear avenues available for meaningful new discovery.


    ACKNOWLEDGMENTS
 
The author thanks Dr. Angela Paradis for her contributions to this editorial.

Conflict of interest: none declared.


    References
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  3. Murray CJL, Lopez AD, eds. The Global Burden of Disease: A Comprehensive Assessment of Mortality and Disability From Diseases, Injuries and Risk Factors in 1990 and Projected to 2020. (Global Burden of Disease series, vol 1). Cambridge, MA: Harvard School of Public Health; 1996.
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This Article
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