Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria
Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, and Department of Paediatrics, University of Melbourne, Victoria
Department of General Practice, University of Melbourne, Victoria
Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
Correspondence: Professor George C. Patton, William Buckland House, 2 Gatehouse Street, Parkville, Victoria 3052, Australia. Email: george.patton{at}rch.org.au
None.
|
|
|---|
Partial syndromes of eating disorder are common in adolescents but the health significance of these syndromes remains uncertain.
Aims
To document the health and social adjustment in young adulthood of females assessed as having a partial syndrome of eating disorder in adolescence.
Method
A community sample of 1943 participants was tracked over 10 years in an eight-wave cohort study. A partial syndrome was defined as the fulfilment of at least two DSM–IV criteria for either anorexia or bulimia nervosa at one assessment or more between the ages of 15 years and 17 years.
Results
Partial syndromes were found in 9.4% of 15- to 17-year-old female participants and 1.4% of males. There were few instances of progression of partial syndromes to fully fledged anorexia and bulimia nervosa. However, among those with partial syndromes depressive and anxiety symptoms were two to three times higher in young adulthood, substance misuse was common, and a majority of those with a partial syndrome of anorexia nervosa were still underweight in their mid-20s.
Conclusions
Given the level of subsequent psychopathology and social role impairment, there may be justification for initiating trials of preventive and early clinical intervention strategies for adolescent partial syndromes.
|
|
|---|
A question about the progression of adolescent partial syndromes requires prospective study, ideally in a community setting. Prospective studies of eating disorders outside the clinical setting remain rare. The high rates of continued poor social functioning into young adulthood found in patients with anorexia nervosa10 have been replicated in the one study in which a community-based sample was used.11 Available community studies of bulimia nervosa also suggest high rates of continued symptoms and social dysfunction.12 The outcomes for adolescents with a partial syndrome of eating disorder are far less clear. One study has found that symptoms of eating disorder are associated with psychosocial difficulties in adolescence, but that these problems had largely resolved by young adulthood.13 Another found modest evidence for adolescent–young adult continuity in eating disorder symptoms and their associated problems. In a three-wave cohort study of 538 young females from their mid-teens to the age of 24 years, just under a third of those with a teenage disorder had persisting disorder in young adulthood.14 Risks of other psychopathological disorders, particularly depression, as well as poor overall psychosocial adjustment, appeared higher in the adolescent eating disorders group.14,15 The available studies are, however, limited in a number of respects: in sample size, in numbers of assessment points for disorders that fluctuate in intensity, in the use of retrospective ascertainment of eating disorders or in the definitions used for adolescent eating disorders.13,14,16 For these reasons the clinical relevance of partial syndromes of eating disorder in adolescence has remained unclear.
The study reported here adopted a prospective design in a close-to-representative community sample of almost 2000 participants, with multiple adolescent assessment points, to study the outcomes of adolescent partial syndromes in young adulthood. We examined outcomes that included persisting eating disorder, depressive and anxiety symptoms, body mass, sexual and reproductive health, and social role transitions.
|
|
|---|
From a total sample of 2032 students, 1943 (96%) participated at least once during the first six (adolescent) waves. In the 7th wave, 1601 young adults (79% of the initial sample or 82% of teenage participants) were interviewed between April and December 1998. In the 8th wave, 1520 (75% of the initial sample, 78% of teenage participants) were interviewed between April 2002 and June 2003. Response rates are shown in Fig. 1. Reasons for non-completion at follow-up were refusal (wave 7, n=152; wave 8, n=269), loss of contact (wave 7, n=192; wave 8, n=152) and death (wave 7, n=2; wave 8, n=7). The mean ages at waves 1, 7 and 8 were 14.5 years (s.d.=0.5), 20.7 years (s.d.=0.5) and 24.1 years (s.d.=0.6) respectively.
![]() View larger version (9K): [in a new window] [as a PowerPoint slide] |
Fig. 1 Sampling and ascertainment in the Victorian Adolescent Health Cohort,
1992–2003.
|
Eating disorder
The Branched Eating Disorders Test (BET) was used to assess DSM–IV
criteria for eating
disorder.18 This
test was designed for use in teenaged community samples and covers symptoms of
eating disorder over the previous 4 weeks. Partial syndromes of eating
disorder were based on the DSM–IV criteria for bulimia nervosa and
anorexia nervosa, this being the approach most commonly adopted in the
definition of these
syndromes.19 A
partial syndrome of anorexia nervosa was defined as meeting two of the
following four criteria:
A partial syndrome of bulimia nervosa was defined as meeting at least two of the following criteria:
Definitions of partial syndrome of bulimia nervosa using the BET have previously been shown high agreement with the Eating Disorders Examination in community sample of schoolgirls in Australia (sensitivity 1.0, specificity 0.99, positive predictive value 0.7).21 The BET was administered from wave 2 through to wave 6. At follow-up in wave 7 the BET was administered to female participants only. Therefore this report examines continuity of eating disorder in young females only.
Depression and anxiety
Symptoms of depression and anxiety were assessed from waves 1 to 7 using
the Revised Clinical Interview Schedule
(CIS–R).22
The total scores on this measure were dichotomised at a cut-off point of 11/12
to delineate a mixed depression–anxiety state at a lower threshold than
syndromes of major depression and anxiety disorder but where clinical
intervention would still be
appropriate.23,24
Specific anxiety and depressive syndromes were also defined using the
CIS–R.22 The
12-item General Health Questionnaire
(GHQ)25 was used to
assess these symptoms at wave 8: a cut-off score of 2/3 was used to define a
group with high psychiatric morbidity.
Substance use (wave 8)
Nicotine dependence was assessed with the Fagerstrom Test for Nicotine
Dependence and was defined as a score of 4 or
more.26 Alcohol
misuse and dependence was assessed using the Composite International
Diagnostic Interview 2.1, 12-month version (CIDI) to define DSM–IV
categories.27
Cannabis use was assessed on the basis of self-reported frequency of use over
the past year, with high use defined as reported use at least weekly.
Amphetamine use was defined as self-reported use in the previous 12
months.
Analysis
Data collection was undertaken at a developmental point when young people
are difficult to trace because of high mobility. Although the initial response
was high and attrition low, 36% of respondents missed at least one wave of
data collection in the adolescent phase (waves 1 to 6), leading to a potential
bias in summary measures of exposure to cannabis and mental health problems
calculated from these data. For example, when we examined characteristics of
wave 7 non-completers using logistic regression models, male participants were
overrepresented (OR=1.9, 95% CI 1.5–2.4), as were those with a
background of parental divorce or separation (OR=1.8, 95% CI 1.4–2.5)
and those who were daily smokers at study inception (OR=2.1, 95% CI
1.5–2.9). To address this selection bias, we used the method of multiple
imputation,28 with
five complete data-sets created by imputation under a multivariate normal
model that incorporated all the outcome variables of interest measured at all
waves of data collection, along with the fixed covariates of gender, age,
rural/urban residence and parental education (available for all
participants).29
Participants were classified according to whether they fell into categories of
interest at least once during waves 1 to 6 (adolescence) and, separately, in
waves 7 and 8 (young adulthood). Data analysis was undertaken using Stata
version 8 for Windows. Univariate logistic regression analyses were used to
model associations, and Wald tests and related confidence intervals were used
to assess statistical significance and precision.
|
|
|---|
|
View this table: [in a new window] |
Table 1 Cumulative prevalence of partial-syndromal eating disorders in 1943
participants in the Victorian Adolescent Health Cohort Study for waves 3 to
6
|
Health outcomes for partial syndromes in young adulthood are shown in Table 2. Results are presented for outcomes at wave 7 (average age 20 years) and wave 8 (average age 24 years). Eating disorders at a partial syndrome level were found in 14% of those who had an adolescent bulimic partial syndrome and 21% of those who had had an anorexic partial syndrome. The majority of young-adult cases from the adolescent bulimic group were also bulimic in form. In contrast, new partial syndromes were uncommon in young women without a teenage years diagnosis. Forty-four per cent of those with an adolescent partial syndrome reported significant psychiatric morbidity at age 20 years, compared with rates of 20% in other cohort participants (OR=3.3, 95% CI 2.1–5.2). A similar pattern was evident at the age of 24 years where 40% of those who had had an adolescent partial syndrome reported high levels of morbidity on the GHQ compared with 25% of those with no adolescent syndrome (OR=2.0, 95% CI 1.2–3.1).
|
View this table: [in a new window] |
Table 2 Prevalence of health outcomes in young adulthood of adolescent eating
disorders among 999 living female cohort participants according to adolescent
eating disorder status
|
The proportion of those underweight in their mid-20s (wave 8) was higher in those with an adolescent partial syndrome (OR=2.1, 95% CI 1.3–3.3). This was principally because around two-thirds of those with an anorexic partial syndrome remained underweight (OR=6.3, 95% CI 2.7–14). Conversely, those with an adolescent partial syndrome were less likely to be overweight, largely because of the very low rates of overweight in those who had had an adolescent anorexia syndrome (Or=0.18, 95% CI 0.04–0.82).
Substance misuse was generally higher in the group who had had a partial syndrome during the teens, particularly in the bulimic subgroup. Nicotine dependence was higher in the partial syndrome group at the age of 20 years (OR=2.3, 95% CI 1.0–5.3) and at age 24 years (OR=2.2, 95% CI 0.88–4.6). Alcohol dependence was over twice as common in the partial syndrome group (OR=2.2, 95% CI 1.0–4.9), as was amphetamine use (OR=2.5, 95% CI 1.2–5.0). In contrast, rates of cannabis use were similar in the two groups.
Table 3 reports social and sexual health outcomes in the mid-20s of those with an adolescent partial syndrome. Females with a partial syndrome were more sexually active before the age of 16 years (OR=2.5, 95% CI 1.5–3.9) and before leaving school (OR=2.1, 95% CI 1.3–3.5). There was a tendency for this group to be more likely to have had a pregnancy and to have had both terminations and spontaneous abortions. Females with partial syndrome were more likely to have left school before year 12 (OR=2.2, 95% CI 1.2–4.1), were less likely to have attained a degree by their mid-20s (Or=0.43, 95% CI 0.27–0.69) and were more likely to find themselves neither working nor studying (OR=1.8, 95% CI 1.1–2.9).
|
View this table: [in a new window] |
Table 3 Prevalence of social outcomes in young adulthood of adolescent eating
disorders among 999 living female cohort participants according to adolescent
eating disorder
|
|
|
|---|
Early studies of the outcomes of partial syndromes focused on clinical samples from which generalisation may be difficult, had limited follow-up or used uncertain measures of the symptoms of eating disorders.31,32 The term `partial syndrome' defines syndromes that are likely to be similar to the DSM–IV category of `eating disorder not otherwise specified'. A close-to-representative community sample, high participation rates and frequent measures of symptoms during the teenage years are strengths of this study. The use of multiple imputation should have minimised possible biases arising from missing data. It nevertheless remains possible that patterns of association among those who were non-responders might not be fully captured by the imputation modelling, leading to some residual bias in the final estimates. One further limitation is the availability of only one point of assessment for eating disorders in young adulthood. Given that eating disorders may continue to fluctuate in intensity, it is possible that we have underestimated the degree of continuity from adolescence to young adulthood. The ongoing low weight of those who had had an anorexia syndrome is noteworthy in this respect. It would be consistent with continuing body image sensitivity and efforts to control weight even if the individual does not fulfil formal criteria for an eating disorder.
A majority of later health and adjustment problems in young females with an adolescent partial syndrome were not specifically related to ongoing eating disorder. Some of these problems might arise because of the presence of other psychiatric syndromes that commonly co-occur with eating disorders.33 Other problems such as educational failure might be the result of disruption to school attendance during the teenage years, a process to which the symptoms of eating disorder may contribute. It is also possible that adolescent partial syndromes are best viewed as a marker for an ongoing susceptibility to a range of psychiatric and behavioural disorders, rather than being linked specifically to anorexia and bulimia nervosa.
Later substance misuse was prominent in the partial syndrome group, suggesting that risk of substance misuse is not limited to those with fully fledged syndromes.34 Earlier reports have noted that a range of substances are commonly used by adolescents and young adults with weight concerns and dieting.35,36 In our study an association with tobacco and amphetamine use, but not with cannabis use, was prominent. This perhaps reflects an ongoing preoccupation with weight control, with tobacco and amphetamines being recruited for their effects on appetite and weight control. In contrast, cannabis intoxication often brings an increase in appetite that may be a disincentive for use.
A range of difficulties in social adjustment in young adulthood found in fully fledged eating disorders were also evident in those with partial syndromes.15,37 The pattern of psychosexual development differed somewhat from that found in fully fledged eating disorders, in which sexual milestones are typically delayed.38 It is, however, consistent with the finding of larger population-based surveys, in which bulimic symptoms have been linked to early menarche and in turn to earlier sexual activity.39 It is also possible that the impulsivity associated with bulimic syndromes has a role in early sexual activity and the trend towards higher rates of pregnancy. However, these factors cannot account for the apparently high rate of spontaneous first-trimester abortion. Earlier reports have found that active bulimia nervosa during pregnancy is associated with higher rates of miscarriage and that these differences were not accounted for by intercurrent substance misuse.40 Our findings raise the possibility that lower levels of eating disorder symptoms might also predict poor pregnancy outcomes.
Few partial syndromes appear to progress to clinical eating disorders in community settings. As a means of preventing full clinical syndromes of anorexia and bulimia nervosa, there appears little justification for early screening and intervention. However, partial syndromes are common and are linked to a range of later health and social problems. From this alternative perspective there is justification for giving clinical attention to this group. Yet clinical response is not likely to be easy. Although screening tools exist for use in community settings, those with probable eating disorder will often not accept referral for treatment.41 Eating disorders are not often routinely identified by general practitioners, and given their high prevalence these disorders present a major challenge for existing services.42 Treatment may well require the kind of multifaceted psychological approach advocated for the full syndromes of anorexia and bulimia nervosa.43 This may be one reason why those presenting for specific treatment of eating disorders in primary care are unlikely to persist with treatment if the clinical intervention is not sufficiently intense.44 However, several strategies of response seem worth considering. For particular subgroups such as young females who are pregnant or those with diabetes mellitus, screening and clinical interventions are more likely to meet with success.45,46 In primary care a greater attention to general psychosocial risk screening may be more effective in engaging this group than specific screening for eating disorders.47 For those identified as having a partial syndrome, there may be greater value in attending to symptoms of depression and anxiety, substance misuse and sexual health problems, as well as the social and educational difficulties so commonly associated with having a partial syndrome. Self-help interventions in non-clinical settings, tied to the promotion of health literacy around eating disorders, might also reduce the substantial disease burden associated with the most common eating disorders of adolescence.48,49 A recent finding that internet delivery of cognitive–behavioural therapy brought substantial reductions in symptoms and adverse consequences of common eating disorders for up to 2 years illustrates the potential of this approach.50
|
|
|---|
|
|
|---|
Related articles in BJP:
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||