Current concepts of risk in psychiatric disorders

Current Opinion in Psychiatry

Volumn 16, Issue 4, 2003, Pages 421-430

  Kraemer, Helena C ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Case control studies; Longitudinal studies; Odds ratio; Risk; Risk factors; Weighted kappa

Indexed keywords

CLINICAL RESEARCH; DECISION MAKING; LONGITUDINAL STUDY; MENTAL DISEASE; REVIEW; RISK FACTOR;

EID: 0042244191     PISSN: 09517367     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.yco.0000079210.36371.52     Document Type: Review

References (34)

1. Kraemer H, Kazdin AE, Offord DR et al. Coming to terms with the terms of risk. Arch Gen Psychiatry 1997; 54:337-343.
2. Kraemer HC, Kazin AE, Offord DR et al. Measuring the potency of a risk factor for clinical or policy significance. Psychol Methods 1999; 4:257-271.
3. Kraemer HC, Stice E, Kazdin AE, Kupfer D. How do risk factors work together to produce an outcome? Mediators, moderators, and independent, overlapping and proxy risk factors. Am J Psychiatry 2001; 158:848-856.
4. Kraemer HC, Wilson GT, Fairburn CG, Agras WS, Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry 2002; 59:877-883.
5. De Graaf R, Bifl RV, Smit F, et al. Risk factors for 12-month comorbidity of mood, anxiety, and substance use disosrders: finding from the Netherlands Mental Health Survey and Incidence Study. Am J Psychol 2002; 159:620-629.
6. Croll J, Neumark-Sztainer D, Storey M, Ireland M. Prevalence and risk and protective factors related to disordered eating behaviors among adolescents: relationship to gender and ethnicity. J Adolesc Health 2002; 31:166-175.
7. Thompson AM, Chad KE. The relationship of social physique anxiety to risk for developing an eating disorder in young females. J Adolesc Health 2002; 31:183-189.
8. Brooks TL, Harris SK, Thrall JS, Woods ER. Association of adolescent risk behaviors with mental health symptoms in high school students. J Adolesc Health 2002; 31:240-246.
9. Sund AM, Wichstrom L. Insecure attachment as a risk factor for future depressive symptoms in early adolescence. J Am Acad Child Adolesc Psychiatry 2002; 41:1478-1485.
10. Berkson J. The statistical study of association between smoking and lung cancer. Mayo Clin Proc 1955; 30:56-60.
11. Brown GW, Berkson fallacy revisited: spurious conclusions from patient surveys. Am J Dis Child 1976; 130:56-60.
12. Simpson EH. The interpretation of interaction in contingency tables. J R Stat Soc Ser B, 1951; 13:238-241.
13. Bickel PJ, Hammel EA, O'Connell JW. Sex bias in graduate admissions: data from Berkeley. Science 1975; 187:398-404.
14. Blyth CR. On Simpson's Paradox and the Sure-Thing Principle. J Am Stat Assoc 1972; 68:746.
15. Hand DJ. Psychiatric examples of Simpson's Paradox. Br J Psychiatry 1979; 135:90-96.
16. Kraemer HC. Individual and ecological correlation in a general context: investigation of testosterone and orgasmic frequenoe in the human male. Behav Sci 1978; 23:67-72.
17. Paik M. A graphic representation of a three-way oontigenoy table: Simpson's. Am Stat 1985; 39:53-54.
18. Wagner CH. Simpson's paradox in real life. Am Stat 1982; 36:46-48.
19. Conwell Y, Duberstein PR, Conner K, et al. Access to firearms and risk for suicide in middle-aged and older adults. Am J Geriatr Psychiatry 2002; 10:407-416.
20. Turvey CL, Conwell Y, lones MP, et al. Risk factors for late-life suicide: a prospective, community-based study. Am J Geriatr Psychiatry 2002; 10:398-406.
21. Pickett W, Garner MJ, Boyce WF, King MA. Gradients in risk for youth injury associated with multiple-risk behaviours: a study of 11,329 Canadian adolescents. Soc Sci Med 2002; 55: 1055-1068.
22. Fu Q, Heath AC, Bucholz, KK, et al. Shared genetic risk of major depression, alcohol dependence and marijuana dependence. Arch Gen Psychiatry 2002; 59:1125-1132.
23. Jaffee SR, Moffitt TE, Caspi A, et al. Differences in early childhood risk factors for juvenile-onset and adult-onset depression. Arch Gen Psychiatry 2002; 59:215-222. This is a longitudinal study remarkable for the duration of follow-up (birth to 26 years) and for the very careful attention to establishing temporal precedence among risk factors and outcome. This paper also contributes significantly to the understanding of the importance of considering age in assessing risk factors. Finally, the emphasis on effect sizes in addition to statistical significance is noteworthy.
24. Johnson JG, Cohen P, Gould MS, et al. Childhood adversities, interpersonal difficulties and risk for suicide attempts during late adolescence and early adulthood. Arch Gen Psychiatry 2002; 59:741-749. This is a longitudinal study that analyzed children 1-11 years of age, followed for approximately 18 years. While there may be some problems engendered by the span of ages at entry, this paper is noteworthy for having examined the possibility of one risk factor mediating or moderating another.
25. Cannon M, Huttunen MO, Tanskanen AJ, et al. Perinatal and childhood risk factors for later criminality and violence in schizophrenia. Br J Psychiatry 2002; 180:496-501.
26. Halmi KA, Agras WS, Mitchell J, et al. Relapse predictors of patients with bulimia nervosa who achieved abstinence through cognitive behavioral therapy. Arch Gen Psychiatry 2002; 59:1105-1109. This is an example of a very short-term longitudinal study, examining risk factors for relapse after treatment. This illustrates that time of entry into a risk study may be determined by an event (end of treatment) rather than an age, and that the outcome may not be onset of a disorder, but relapse or recurrence. Moreover, it shows that sample sizes need not be very large when a high base-rate outcome is sought.
27. Lieb R, Isensee B, Hofler M, et al. Parental major depression and the risk of depresssion and other mental disorders in offspring. Arch Gen Psychiatry 2002; 59:365-374.
28. Takeshita J, Masaki K, Ahmed I, et al. Are depressive symptoms a risk factor for mortality in elderly Japanese American men? The Honolulu-Asia Aging Study. Am J Psychiatry 2002; 159:1127-1132.
29. Cote S, Tremblay RE, Nagin DS, et al. Childhood behavioral profiles leading to adolescent conduct disorder: risk trajectories for boys and girls. J Am Acad Child Adolesc Psychiatry 2002; 41:1086-1094. This is a longitudinal study following children from kindergarten to grade 6. This study examines trajectories; this is rarely done but is potentially very important. It analyzes boys and girls separately, and the data demonstrate the importance of this strategy. Particularly noteworthy is the full and clear presentation of descriptive statistics, effect sizes as well as significance levels, which facilitates consideration of the clinical and public health importance of the findings.
30. Kroes M, Kalff AC, Steyaert J, et al. A longitudinal community study: do psychosocial risk factors and child behavior checklist scores at 5 years of age predict psychiatric diagnoses at a later age? J Am Acad Child Adolesc Psychiatry 2002; 41:955-963.
31. Desai MM, Bogardus ST, Williams CS, et al. Development and validation of a risk-adjustment index for older patients: the high-risk diagnoses for the elderly scale. J Am Geriatr Soc 2002; 50:474-481. This is a brief longitudinal study of hospitalized, older, general medical patients for risk factors for 1-year mortality. This study illustrates the close connection between risk-factor studies and the development of tools (here a risk-adlustment index) that could be useful for clinical decision-making.
32. Davies HT, Crombie IK, Tavokoli M. When can odds ratios mislead? British Medical Journal 1998; 316:989-991.
33. Epstein DH. Problems with odds ratios. Am J Geriatr Psychiatry 2003; 160:190-191.
34. Sackett DL, Deeks JJ, Altman DG. Down with odds ratios! Evidence-Based Med 1996; 1:164-166