Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-27T23:41:10.312Z Has data issue: false hasContentIssue false

Child psychiatric symptoms and psychosocial impairment: relationship and prognostic significance

Published online by Cambridge University Press:  02 January 2018

Andrew Pickles*
Affiliation:
School of Epidemiology and Health Science, University of Manchester, Manchester, UK
Richard Rowe
Affiliation:
MRC Child Psychiatry Unit, and Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College, London, UK
Emily Simonoff
Affiliation:
Department of Child and Adolescent Psychiatry, Guy's, King's and St Thomas' Medical School, London, UK
Debra Foley
Affiliation:
Royal Children's Hospital Melbourne, Victoria, Australia
Michael Rutter
Affiliation:
Social, Genetic and Developmental Psychiatry Research Centre, Institute of Psychiatry, King's College, London, UK
Judy Silberg
Affiliation:
Virginia Commonwealth University, Department of Human Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, Virginia, USA
*
Professor Andrew Pickles, School of Epidemiology and Health Science, University of Manchester, Stopford Building, Oxford Road, Manchester M13 9PT. UK. e-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

Relatively little is known about the relationships between psychiatric symptoms, diagnosis and psychosocial impairment.

Aims

To examine these contemporaneous relationships and prognostic significance in a large general population sample.

Method

Symptoms of major depression, conduct and oppositional defiant disorders were assessed by interview in two waves of the Virginia Twin Study of Adolescent behavioural Development (2800 children aged 8–16 years).

Results

Manychildren below the DSM–III–R diagnostic threshold, especially for depression, had symptom-related impairment, whereas many children reaching the symptom threshold for conduct and oppositional defiant disorders were little impaired. Impairment score was linearly related to symptom count, with no evidence of any additional impairment at the diagnostic threshold. For depression, only symptoms predicted later symptoms and diagnosis. For conduct and oppositional defiant disorders, impairment was additionally predictive of later symptoms and diagnosis.

Conclusions

Impairment, in addition to symptoms, is important for both nosology and prognosis.

Type
Developmental Psychopathology Papers, Part 2
Copyright
Copyright © Royal College of Psychiatrists, 2001 

There is debate in current psychiatric research over the relative importance of diagnosis, extent and intensity of symptomatology, and the presence of functional impairment for psychiatric classification, clinical decision-making and prognosis (e.g. Reference KendlerKendler, 1999; Reference Kessler, DuPont and BerglundKessler et al, 1999). Depending upon the diagnostic area, many children with clear symptoms sufficient for a diagnosis appear not to experience significant functional impairment (Reference Simonoff, Pickles and MeyerSimonoff et al, 1997). In addition — and of particular concern — are the substantial numbers of children apparently impaired by clinical symptoms that are insufficient to assign an operational formal diagnosis (Reference Angold, Costello, Costello and FarmerAngold et al, 1999; Reference Costello, Angold and KeelerCostello et al, 1999). Using the Virginia Twin Study of Adolescent Behavioral Development (VTSABD; Reference Eaves, Silberg and MeyerEaves et al, 1997; Reference Hewitt, Silberg and RutterHewitt et al, 1997; Reference Simonoff, Pickles and MeyerSimonoff et al, 1997), we analyse first the relationship of symptom count and diagnosis to reported impairment, and second the relative importance of these three measures for prognosis over approximately 19 months.

METHOD

Population

The VTSABD is an ongoing cohort-longitudinal study of White twins born between 1974 and 1983. Twins were recruited through the public and private school systems in the state of Virginia and through state-wide publicity. From a target population of 1892 families, 1412 families (75%) participated in the first wave (Reference Meyer, Silberg and SimonoffMeyer et al, 1996). When interviewed, 62 twins were aged 17-18 years and were excluded from this study, leaving 2762 children in Wave I. Of these, 2102 children participated in the second wave 18.6 (s.d.=4.7) months later.

Measures

At each wave, clinical symptomatology over the previous 3 months was elicited by separate interview of each twin about themselves, and each parent about both twins using the Child and Adolescent Psychiatric Assessment (CAPA; Reference Angold, Costello, Prendergast and CoxAngold et al, 1995). Data from different informants were combined using the standard ‘or’ rule (Reference Costello, Angold and BurnsCostello et al, 1996; Reference Simonoff, Pickles and MeyerSimonoff et al, 1997) in which a symptom is endorsed if reported by either the child or parent. Paternal ratings contributed only if maternal ratings were unavailable. We examine here DSM-III-R symptoms (American Psychiatric Association, 1987) within the areas of major depression, conduct disorder and oppositional defiant disorder, each symptom being required to meet operationalised criteria for intensity, frequency and duration (Reference Simonoff, Pickles and MeyerSimonoff et al, 1997).

One of the major additions to DSM-III-R encompassed in DSM-IV (American Psychiatric Association, 1994) was a more explicit assessment of clinically significant distress or impairment (Reference Spitzer and WakefieldSpitzer & Wakefield, 1999). The operational criteria for symptoms in the CAPA explicitly exclude from consideration factors normally thought of as constituting psychosocial impairment. The symptom severity ratings do include consideration of factors such as psychological or physiological intrusiveness while the symptom was present, and in the areas of depression and anxiety this required symptoms to be distressful. More broadly defined psychosocial impairment due to psychiatric symptoms was assessed in an entirely separate section of the interview, usually completed once all symptom areas had been evaluated. As with symptoms, impairment was rated over the preceding 3 months. The 15 areas in which impairment was rated were parent relationships, sibling relationships, self-care, homework and chores, leaving house, school performance, school suspension, teacher relationships, school peer relationships, spare-time activities, non-school adult relationships, non-school peer relationships, employment, treatment and placement. Each area of impairment was rated on a three-point scale: 0 if no impairment was present, 1 if impairment was partial, indicated by decreased functioning in that area, and 2 if impairment was severe, that is functioning in that area had almost ceased. Ratings of impairment were tied to symptom areas. Where symptoms occurred in more than one area, respondents were asked systematically to consider which symptom areas were responsible for the impairment, with a reminder of the different symptom areas that had already been endorsed. When respondents were uncertain whether one or more area was responsible for impairment, impairment was rated as being related to each of the symptom areas that the respondent felt might be involved. Ratings of impairment were made independently by each informant.

To code impairment as present, impairment was required to have started either at the same time or following the onset of symptoms. For symptoms of long duration, impairment could be rated only if there was clear evidence that the symptoms or behaviour were interfering with functioning in that area. For the current analyses, these ratings were combined using the ‘or’ rule described above for symptom counts, to give a score that could range from 0 to 30 in each symptom area. Angold & Costello (Reference Angold and Costello1995) report high levels of reliability for the child-reported symptom, diagnosis and impairment measures.

The VTSABD pairs were ascertained from the general population, and many subjects had few, if any, psychiatric symptoms of clinical severity. It made no sense to ask about symptom-related psychosocial impairment in the absence of symptoms, and therefore a rule was developed to determine whether the impairment section of the interview should be entered with respect to each symptom area. In the areas that we examine the rule required impairment to be assessed only if two or more symptoms in an area were coded with symptom intensity of 2 or greater. For symptoms to contribute to the symptom count, additional criteria relating to frequency and duration were usually required.

In this study we focused on two areas of symptomatology that seemed to possess quite different impairment—symptom characteristics. These were (a) major depressive disorder (MDD), and (b) conduct disorder (CD) and oppositional defiant disorder (ODD). In what follows, ‘DSM-III-R diagnosis’ is used to refer to those who meet the operationalised criteria in respect of symptoms. For CD and ODD those criteria relate to the number of criterion symptoms. For MDD there was the additional necessary requirement for either ‘depressed or irritable mood’ or ‘loss of pleasure or interest’. In fact, only two assessments meeting the symptom number criterion failed to meet this additional criterion. For all diagnoses, those also meeting the criterion score of 2 or more for psychosocial impairment (Reference Simonoff, Pickles and MeyerSimonoff et al, 1997) are referred to as having a ‘DSM-III-R diagnosis with impairment’.

Analysis

The analyses faced a number of problems. First, observations from twins in a pair and from Wave I to Wave II are correlated. Second, CD and ODD shared a combined impairment rating. This rating had to be related to counts of both CD and ODD symptoms. These two problems were tackled by using the survey analysis procedures (Reference BinderBinder, 1983) of STATA Release 6 (StataCorp, 1999) which provide a robust approach to cluster sampling (here twin-pair) and multivariate responses (here CD and ODD). Third, the counts of symptoms and ratings of impairment were non-normal. For examining the linearity of the relationship between impairment rating (Y) and symptoms (X), we exploited the robust properties of ordinary linear regression when used in conjunction with robust forms of test statistics (Reference HuberHuber, 1967). For predicting symptom severity, the counts of symptoms were treated as an ordinal scale, and proportional-odds ordinal logistic regression was used. Such models are invariant to the collapsing of categories, a property that gives two advantages. First, when diagnosis is defined by a threshold number of symptoms the proportional odds ratio (POR) estimated by the ordinal logistic regression should be equal, apart from sampling error, to the odds ratio from the logistic regression analysis of diagnosis, simplifying comparison. Second, in the multivariate analyses of CD and ODD symptoms, the ordinal model implicitly standardises for the fact that the different diagnoses have different ranges of possible symptom counts. These multivariate ordinal response models were set up in the fashion of Clayton (Reference Clayton1976) and Stram et al (Reference Stram, Wei and Ware1988), practicalities being described by Maughan et al (Reference Maughan, Collishaw and Pickles1998).

A final problem related to the missing impairment data. Symptom-related impairment was set to zero for subjects with no clinical symptoms, and was always rated where two or more clinically significant symptoms in an area were identified. However, when only one symptom was present the VTSABD field-work protocol only sometimes required impairment ratings be obtained (when there were other symptoms that met the intensity criterion but failed the subsequently applied duration or frequency criteria). A structured, and thus tractable, missing-data pattern was obtained by setting to ‘missing’ the impairment scores of all subjects with a single symptom. The resulting missing-data pattern was then not a problem for model-based analyses (ordinary and logistic regressions) that included the contemporaneous symptom score as a predictor, the missing data then being ‘covariate-dependent missing data’ in the terminology of Little (Reference Little1993). However, the missing data could still bias some of the simple descriptive statistics, and to those we attach cautionary notes.

For examining contemporaneous associations we made use of both waves of data, with most children being assessed twice (correcting inference for repeated measurement). For simplicity the term ‘child’ is used when in fact the units are child assessments.

RESULTS

Depression: cross-sectional results

Of the 73 children with MDD, only 15 (21%) had an impairment score of less than 2. Of the 476 sub-threshold children with two to four symptoms of depression, 245 (51%) had impairment scores of 2 or above. Regression did not suggest that being above or below the diagnostic symptom threshold was associated with any change in impairment beyond that expected from a linear increase with the number of symptoms (P=1.0).

Depression: longitudinal results

Rates among those with MDD at Wave I (Table 1) are similar regardless of impairment at Wave I. Among those without MDD at Wave I, rates were substantially higher among those with impairment than those without, but the results above suggest that this is a consequence of symptom differences rather than impairment differences, since impairment could only be rated as positive if individuals had at least two MDD symptoms.

Table 1 Simple rates of Wave II diagnosis (defined by symptoms alone) and diagnosis with impairment (impairment score of 2 or more) for those with and without the corresponding diagnosis and with and without impairment at Wave I

Wave II Wave I
No diagnosis1 Diagnosis
No impairment Impaired No impairment Impaired
MDD
Diagnosis
(%) 1.0 8.7 25 22.2
(n/N) 19/1922 9/104 1/4 6/27
Diagnosis+impairment
(%) 0.7 7.7 25 18.5
(n/N) 13/1922 8/104 1/4 5/27
CD/ODD
Diagnosis
(%) 3.5 13.3 18.0 35.5
(n/N) 59/1676 30/226 11/61 38/107
Diagnosis+impairment
(%) 2.0 12.0 4.9 29.9
(n/N) 34/1676 27/226 3/61 32/107

Comparing children who at Wave I had a diagnosis without impairment with children who had sub-threshold symptoms with impairment suggested that the symptoms were more important for prediction than the impairment. In logistic regression predicting Wave II (n=1723 subjects), Wave I symptom count was highly predictive of later symptom count (POR=1.95, 95% CI 1.78-2.14, P<0.001), diagnosis (OR=2.00, 95% CI 1.71-2.34, P<0.001) and diagnosis with impairment (OR=2.16, 95% CI 1.58-2.95, P<0.001). No significant independent contribution of impairment score was found for predicting either symptom count (POR=1.05, 95% CI 0.94-1.17, P=0.4) or diagnosis (OR=0.97, 95% CI 0.79-1.19, P=0.8), or even diagnosis with impairment (OR=0.95, 95% CI 0.75-1.19, P=0.7). Wave I diagnostic status also made no significant independent contributions (giving, respectively, POR=0.60, 95% CI 0.22-1.61, P=0.3; OR=0.45, 95% CI 0.10-2.10, P=0.3; OR=0.35, 95% CI 0.06-1.94, P=0.2).

Since the prediction of Wave II impairment was hampered by the pattern of missing data we do not present any formal results. None the less, it was noteworthy that regressions indicated that MDD symptoms were a stronger predictor of subsequent impairment than even prior impairment itself (which was not independently significant).

Conduct and oppositional defiance: cross-sectional results

Of the 235 children with a CD diagnosis (requiring three symptoms), 82 (35%) had impairment scores less than 2. Of the 197 with a diagnosis of ODD (requiring five symptoms) only 44 (22%) had similarly low impairment. There were an additional 161 children with combined CD and ODD symptom totals of five or six who did not receive a DSM-III-R diagnosis of either CD or ODD, and of these 107 (66%) had impairment scores of 2 or more. Altogether 457 children had impairment above threshold without either diagnosis, and 118 children had a CD or ODD DSM-III-R diagnosis without significant impairment. Symptoms and impairment appeared to be broadly linearly related. Once CD and ODD symptom counts had been included, regressions did not identify either diagnostic threshold as being associated with additional impairment (P=0.6 for CD and P=0.3 for ODD diagnoses).

Conduct and oppositional defiance: longitudinal results

Table 1 shows that at Wave II rates of diagnosis among those with a Wave I CD/ODD diagnosis without impairment were lower than for those with a Wave I diagnosis with impairment. For those without a Wave I diagnosis, outcome rate differences could again have reflected differences in symptoms levels. A comparison of those with a diagnosis but without impairment and those with sub-threshold symptoms with impairment suggested impairment as being predictive. The multivariate logistic analyses provided a more structured assessment of this. For Wave II counts of CD and ODD symptoms (n=1652) the Wave I symptom counts were highly predictive, and the association was specific, with interaction terms showing that CD symptoms predicted more strongly to CD than to ODD symptoms and vice versa (Wald F(2,978)=14.98, P<0.001). Estimates of POR were 1.82 (95% CI 1.58-2.10) for CD symptoms predicting to CD symptoms, 1.44 (95% CI 1.28-1.63) for CD to ODD symptoms, 1.19 (95% CI 1.09-1.29) for ODD to CD symptoms, and 1.49 (95% CI 1.39-1.61) for ODD to ODD symptoms. The Wave I impairment score added significantly to prediction (main effect POR=1.16, 95% CI 1.08-1.25, P<0.001), with similar effect for later CD and ODD symptoms (outcome symptom area by Wave I impairment interaction P=0.3). The block of terms estimating any additional effects of Wave I CD and/or ODD diagnosis were non-significant: Wald F(4,976)=1.72, P=0.1.

For predicting Wave II diagnosis, results were essentially similar to those for symptom count, with significant odds ratios for Wave I symptoms (CD for CD 2.01, CI 1.66-2.45, P<0.001; CD for ODD 1.60, CI 1.30-1.98, P<0.001; ODD for CD 1.14, CI 1.0-1.31, P=0.06; and ODD for ODD 1.46, CI 1.28-1.68, P<0.001). The additional effects of Wave I impairment for later diagnosis were also significant (for CD, OR=1.16, CI 1.02-1.32, P=0.03, and for ODD, OR=1.24, CI 1.08-1.41, P=0.002), but those for Wave I diagnosis were not: Wald F(4,976)=1.61, P=0.2.

Not surprisingly, given the foregoing, both Wave I symptoms and impairment score were predictive of Wave II diagnoses that were impairing (CD for CD OR 1.75, CI 1.42-2.15, P<0.001; CD for ODD OR 1.51, CI 1.21-1.90, P<0.001; ODD for CD OR 1.31, CI 1.13-1.52, P<0.001; ODD for ODD OR 1.52, CI 1.31-1.77, P<0.001; impairment for CD OR=1.23, CI 1.07-1.41, P=0.004 and impairment for ODD OR=1.33, CI 1.16-1.51, P<0.001).

While again cautioning for missing data, it was noteworthy that Wave I impairment was strongly predictive of Wave II impairment independently of Wave I CD/ODD symptoms.

Comparison across areas of symptomatology

Regressions estimated the impairment resulting from the ‘typical’ symptom to be 0.89 (CI 0.82-0.96) for MDD, 0.53 (CI 0.48-0.58) for ODD, and 0.40 (CI 0.31-0.48) for CD. The implied expected impairment scores at the three diagnostic symptom thresholds were 4.42 for MDD, 2.65 for ODD and 1.20 for CD.

Since the scale of the impairment score is arbitrary, Table 2 reports estimates for predictive effects that have been standardised by the observed variances of the Wave I symptom counts and impairment scores for ease of comparison. The high level of continuity shown by depressive symptoms, even higher than that for CD, is perhaps unexpected. The odds ratio for impairment was close to the null value of 1 for MDD, but for CD and particularly ODD the additional prognostic value of impairment was evident.

Table 2 Relative prognostic importance of Wave I symptoms and impairment for Wave II symptoms: standardised proportional odds ratios of Wave I symptom and impairment scores standardised to unit variance (bold numbers indicate homotypic continuity of symptoms)

Standardised odds ratio (95% CI) P
Major depression
Wave I MDD symptoms 2.05 (1.72-2.43) <0.001
Wave I impairment 1.06 (0.91-1.24) 0.4
Conduct disorder
Wave I CD symptoms 1.81 (1.54-2.11) <0.001
Wave I ODD symptoms 1.23 (1.05-1.43) 0.009
Wave I impairment 1.23 (1.07-1.42) 0.004
Oppositional defiant disorder
Wave I CD symptoms 1.36 (1.19-1.55) <0.001
Wave I ODD symptoms 1.69 (1.47-1.94) <0.001
Wave I impairment 1.33 (1.16-1.52) <0.001

DISCUSSION

Although the relationship between symptoms and impairment is fundamental to notions of psychiatric disorder and treatment needs, it is one that has been subjected to surprisingly little empirical analysis. A prime alteration in DSM-IV from DSM-III-R is the explicit inclusion of an impairment requirement for diagnosis. A mental disorder must “cause clinically significant distress or impairment in social, occupational or other important areas of functioning” (American Psychiatric Association, 1987: 7). The addition of this impairment criterion was aimed at requiring more than a constellation of symptoms to distinguish pathological conditions from variations in normal experience. In part the objective was to reduce ‘false positives’ (Reference Spitzer and WakefieldSpitzer & Wakefield, 1999) and thus lower rates of disorder reported by epidemiological studies that some found embarrassingly high. Some ambiguity remained, however, as disorders of mild severity are described as having “few, if any, symptoms in excess of those required to make the diagnosis as present, and symptoms result in no more than minor impairment in social or occupational functioning” (American Psychiatric Association, 1987: 2, ‘Use of this manual’). An implication in the above statement is that the association between number of symptoms and degree of impairment is strong, in that having few symptoms is expected to go along with only minor impairment.

Not all children who attain symptom thresholds for disorder show marked impairment. In a group of referred children aged 7-10 years, Costello et al (Reference Costello, Costello and Edelbrock1988) reported that 82% of those receiving a diagnosis from parental interview and 86% of those diagnosed from child interview were assessed as impaired, compared with 51-52% of children who did not have such a diagnosis. Similar findings were reported by Bird et al (Reference Bird, Canino and Rubio-Stipec1988) in their epidemiological study of Puerto Rican children aged 6-16 years. Simonoff et al (Reference Simonoff, Pickles and Meyer1997) demonstrated variability in the extent to which disorders defined by operational criteria are associated with symptom-related psychosocial functioning. They found phobias to be least likely to be associated with impairment, followed by anxiety disorder, with major depressive disorder as likely to be associated with impairment as externalising disorders. More recently concern has been raised at the numbers of children who have psychosocial impairment without reaching the threshold for any one operational diagnosis (Reference Angold, Costello, Costello and FarmerAngold et al, 1999; Reference Costello, Angold and KeelerCostello et al, 1999).

Main findings: cross-sectional association of symptoms and impairment

The results of this study suggest the need for a more fundamental reassessment of the symptom—impairment—diagnosis triad. The comparison across disorders of the cross-sectional relationships was particularly revealing.

First, in the diagnostic areas considered here (MDD, CD and ODD), the expected level of impairment appears to increase uniformly with the number of symptoms. Reaching the diagnostic symptom threshold has no special implications for the expected level of impairment.

Second, there is considerable variation across diagnostic areas in the extent to which psychiatric symptoms are associated with impairment, with obvious implications for needs assessment. Symptoms sufficient to reach the diagnostic threshold for MDD, in particular, and to a lesser extent ODD, appear to be associated with more impairment than the equivalent diagnostic symptom threshold for CD. For MDD, those meeting the current symptom threshold are virtually always impaired, but it is also clear that these are fewer than the number of children experiencing marked impairment to be found among those below the symptom diagnostic threshold. These findings, and the longitudinal results discussed below, can be seen as offering substantial support for the DSM-IV experimental diagnosis of minor depression (two to four MDD symptoms).

Third, the more impairing nature of ODD symptoms compared with CD runs counter to the commonly held view of ODD as a mild and developmentally immature form of CD. In the case of CD, especially for symptoms relating to behaviours that can remain covert, it is plausible that in the short run individuals themselves could experience little, if any, impairment. Indeed, since for these individuals the ‘costs’ of such symptoms will be borne by others, it is arguable whether impairment should be a component of the diagnostic criterion at all, or whether instead the impact on others should be included in an extended impairment score.

Fourth, the numerous children with four or five mixed CD/ODD symptoms who did not meet either of the CD or ODD diagnostic thresholds were as impaired as those meeting the CD threshold. This lends support for the ICD-10 approach in which these symptom areas are considered jointly (World Health Organization, 1992), in contrast to the DSM-III-R/DSM-IV approach in which they are considered as independent diagnoses. However, the evidence for some degree of specificity for longitudinal prediction suggests that these symptoms should not be merely lumped together.

Main findings: impairment and prognosis

It was clear that symptom areas differed considerably in the extent to which impairment was prognostic. For MDD, only current symptoms predicted future symptoms, diagnosis, diagnosis with impairment and — in an admittedly limited analysis — even future impairment. Thus, depressive symptoms could well be primary, and impairment a simple consequence of those symptoms. Since impairment itself was not predictive, a natural question is whether impairment should be considered as an element of depressive diagnosis at all. Should a positive diagnosis, and more practically treatment, be given to a child who from all reports is experiencing no impairment? Since MDD symptom criteria do require some form of ‘distress’ to be present anyway, this alone may be all that the clinician needs to consider. Our data suggest that, even in the absence of any apparent current impairment, the presence of symptoms alone carries risk for later impairment. Treatment might reduce future impairment not currently reported.

For CD and ODD both symptoms and impairment contributed to the prediction of future symptoms, diagnosis, diagnosis with impairment and the impairment score. There was some specificity within symptom areas (for ODD to predict ODD and CD to predict CD) potentially supportive of the view that these are different disorders or at least subtypes (Reference Lahey, Loeber, Quay, Widiger, Frances and PincusLahey et al, 1997). Cross-symptom prediction (CD to ODD and ODD to CD) was about as influential as current impairment. For ODD the importance of impairment could be artefactual, the distinction between symptoms and impairment being often hard to make, but this argument is more difficult to sustain for CD. If accepted as a real finding, then either impairment should be an additional consideration in assigning a CD/ODD diagnosis, or there are impairing and non-impairing subtypes with, for example, impairment identifying the social difficulties of a more antisocial personality disorder variant of CD or a marker for a more psychosocially demanding ‘environment’. Treatments targeted at reducing impairment might also reduce symptoms.

Strengths and limitations of the study

The VTSABD provides a large sample, uses multiple informants and standardised investigator-based assessments covering both psychiatric symptoms and impairment. However, psychosocial impairment is still an area of development in child psychiatry, both conceptually and in terms of measurement. One possible reason for the observation of impairment without diagnosis could be that the impairment is not a consequence of the symptoms. Measures such as the Child Global Assessment Scale assess overall level of functioning, and when impairment is found it is assumed to relate to psychopathology. The VTSABD study used the CAPA interview, which is unusual in the extent to which it attempts to ensure that impairment is symptom-related and in its attempt to measure this impairment separately for different symptom areas. It is possible that failings in this measurement task, coupled with a process in which impairment causes symptoms, could explain some of our findings. Though not specific to the CAPA, differences in symptom prevalence and DSM severity or intensity requirements (e.g. distress) across symptom areas also need to be considered when interpreting the potentially different role of impairment in different symptom areas.

The measurement sophistication of the VTSABD CAPA interview created a complex data structure that inadvertently made analysis difficult. Progress has been made in tackling this but there remain a number of critical analyses for which we have not yet devised satisfactory methods, in particular relating to the prediction of impairing but sub-symptom threshold outcomes.

A proportion of the sub-threshold children with impairment could have received diagnoses of the ‘not otherwise specified’ (NOS) class (Reference Pincus, Davis and McQueenPincus et al, 1999). Operational definitions of these disorders are currently lacking, so that accounting for such children would be largely exploratory. Angold et al (Reference Angold, Costello, Costello and Farmer1999) operationally defined their NOS class as just that group of children with impairment but without any specific diagnosis. Our use of symptom and impairment scores as predictors implicitly recognises the existence of such sub-threshold (NOS) children. Thus, although we have not explicitly used NOS diagnoses, we doubt whether their inclusion would have materially influenced the findings, merely the terms used to describe them.

Clinical Implications and Limitations

CLINICAL IMPLICATIONS

  1. Diagnostic thresholds for depression, oppositional and conduct disorders are not associated with any step increase in impairment.

  2. Minor depression is frequently associated with marked impairment and oppositional disorder is more impairing than conduct disorder.

  3. For oppositional and conduct disorder, but not depression, reducing impairment may improve prognosis.

LIMITATIONS

  1. Further validation of the measurement of symptom-related impairment is required.

  2. The present study could not properly examine prediction of future impairment.

  3. The relationships between psychiatric symptoms and psychosocial impairment must be studied for other disorders.

Acknowledgements

This study was supported by grant MH-45268 from the US NIMH (to Professor Lindon Eaves and Dr Judy Silberg). We thank all the VTSABD study participants for their time and support. This paper has been much improved as a consequence of particularly helpful comments by an anonymous referee.

Footnotes

See editorial, pp. 189–190, this issue.

Declaration of interest

None.

References

American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders (3rd edn, revised) (DSM–III–R). Washington: APA.Google Scholar
American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders (4th edn) (DSM–IV). Washington: APA.Google Scholar
Angold, A. & Costello, E. J. (1995) A test-retest reliability study of child-reported psychiatric symptoms and diagnoses using the Child and Adolescent Psychiatric Assessment (CAPA–C). Psychological Medicine, 25, 755762.Google Scholar
Angold, A. & Costello, E. J., Prendergast, M., Cox, A., et al (1995) The Child and Adolescent Psychiatric Assessment (CAPA). Psychological Medicine, 25, 739753.Google Scholar
Angold, A. & Costello, E. J., Costello, E. J., Farmer, E. M. Z., et al (1999) Impaired but undiagnosed, Journal of the American Academy of Child and Adolescent Psychiatry, 38, 129137.CrossRefGoogle ScholarPubMed
Binder, D. A. (1983) On the variances of asymptotically normal estimators from complex surveys. International Statistical Review, 51, 279292.Google Scholar
Bird, H. R., Canino, G., Rubio-Stipec, M., et al (1988) Estimates of the prevalence of childhood maladjustment in a community survey in Puerto Rico. Archives of General Psychiatry, 45, 11201126.Google Scholar
Clayton, D. G. (1976) An odds-ratio comparison for ordered categorical data with censored observations. Biometrika, 63, 405408.CrossRefGoogle Scholar
Costello, E. J., Costello, A. J., Edelbrock, C., et al (1988) Psychiatric disorders in pediatric primary care. Archives of General Psychiatry, 45, 11071116.Google Scholar
Costello, E. J., Angold, A., Burns, B. J., et al (1996) The Great Smoky Mountains Study of Youth: I. Prevalence and correlates of DSM–III–R disorders. Archives of General Psychiatry, 53, 11371143.Google Scholar
Costello, E. J., Angold, A., & Keeler, G. (1999) Adolescent outcomes of childhood disorders: the consequences of severity and impairment. Journal of the American Academy of Child and Adolescent Psychiatry, 38, 121128.Google Scholar
Eaves, L. J., Silberg, J. L., Meyer, J. M., et al (1997) Genetics and developmental psychopathology: 2. The main effects of genes and environment on behavioural problems in the Virginia Twin Study of Adolescent Behavioral Development. Journal of Child Psychology and Psychiatry, 38, 965980.CrossRefGoogle Scholar
Hewitt, J. K., Silberg, J. L., Rutter, M., et al (1997) Genetics and developmental psychopathology: I. Phenotypic assessment in the Virginia Twin Study of Adolescent Behavioral Development. Journal of Child Psychology and Psychiatry, 38, 843863.CrossRefGoogle ScholarPubMed
Huber, P. J. (1967) The behavior of maximum likelihood estimates under non-standard conditions. In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol. I, pp. 221233. Berkeley, CA: University of California Press Google Scholar
Kendler, K. S. (1999) Setting boundaries for psychiatric disorders. American Journal of Psychiatry, 156, 18451848.Google ScholarPubMed
Kessler, R. C., DuPont, R. L., Berglund, P., et al (1999) Impairment in pure and comorbid generalized anxiety disorder and major depression at 12 months in two national surveys. American Journal of Psychiatry, 156, 19151923.CrossRefGoogle ScholarPubMed
Lahey, B. B., Loeber, R., Quay, H. C., et al (1997) Oppositional defiant disorder and conduct disorder. In DSM–IV Sourcebook (eds Widiger, T. A., Frances, A. J., Pincus, H. A., et al), pp. 189209. Washington, DC: American Psychiatric Association Google Scholar
Little, R. J. A. (1993) Pattern mixture models for multivariate incomplete data. Journal of the American Statistical Association, 88, 125134.Google Scholar
Maughan, B., Collishaw, S. & Pickles, A. (1998) School achievements and adult qualifications among adoptees: a longitudinal study. Journal of Child Psychology and Psychiatry, 39, 669685.Google Scholar
Meyer, J. M., Silberg, J. L., Simonoff, E., et al (1996) The Virginia Twin-family Study of Adolescent Behavioral Development: assessing sample biases in demographic correlates of psychopathology Psychological Medicine, 26, 11131133.Google Scholar
Pincus, H. A., Davis, W. W. & McQueen, L. (1999) ‘Subthreshold’ mental disorders. A review and synthesis of studies on minor depression and other ‘brand names’. British Journal of Psychiatry, 174, 288296.Google Scholar
Simonoff, E., Pickles, A., Meyer, J. M., et al (1997) The Virginia Twin Study of Adolescent Behavioral Development: influences of age, gender and impairment on rates of disorder. Archives of General Psychiatry, 54, 801808.Google Scholar
Spitzer, R. L. & Wakefield, J. C. (1999) DSM–IV diagnostic criterion for clinical significance: does it help solve the false positives problem? American Journal of Psychiatry, 156, 18561864.CrossRefGoogle ScholarPubMed
StataCorp (1999) STATA Statistical Software. Release 6.0. College Station, TX: Stata Corporation.Google Scholar
Stram, D. O., Wei, L. J. & Ware, J. H. (1988) Analysis of repeated ordered categorical outcomes with possibly missing observations and time dependent covariates. Journal of the American Statistical Association, 83, 631637.Google Scholar
World Health Organization (1992) International Classification of Diseases and Related Disorders (ICD–10). Geneva: WHO.Google Scholar
Figure 0

Table 1 Simple rates of Wave II diagnosis (defined by symptoms alone) and diagnosis with impairment (impairment score of 2 or more) for those with and without the corresponding diagnosis and with and without impairment at Wave I

Figure 1

Table 2 Relative prognostic importance of Wave I symptoms and impairment for Wave II symptoms: standardised proportional odds ratios of Wave I symptom and impairment scores standardised to unit variance (bold numbers indicate homotypic continuity of symptoms)

Submit a response

eLetters

No eLetters have been published for this article.