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Eating disorders in adolescent females with and without type 1 diabetes: cross sectional study

BMJ 2000; 320 doi: http://dx.doi.org/10.1136/bmj.320.7249.1563 (Published 10 June 2000) Cite this as: BMJ 2000;320:1563
  1. Jennifer M Jones, research fellowa,
  2. Margaret L Lawson, headb,
  3. Denis Daneman, chiefc,
  4. Marion P Olmsted, directord,
  5. Gary Rodin, psychiatrist in chief (gary.rodin{at}uhn.on.ca)e
  1. a Department of Psychiatry, University Health Network, Toronto, Ontario, Canada M5G 2CA
  2. b Division of Endocrinology, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada K1H 8LI
  3. c Division of Endocrinology, Hospital for Sick Children, Toronto, Ontario, Canada M5G 2CA
  4. d Ambulatory Care for Eating Disorders, University Health Network
  5. e Department of Psychiatry, University Health Network
  1. Correspondence to: G Rodin
  • Accepted 24 February 2000

Abstract

Objective: determine the prevalence of eating disorders in adolescent females with type 1 diabetes mellitus compared with that in their non-diabetic peers.

Design: Cross sectional case-control led study.

Setting: Diabetes clinics and schools in three Canadian cities.

Subjects: 356 females aged 12-19 with type 1 diabetes and 1098 age matched non-diabetic controls.

Main outcome measure: Eating disorders meeting Diagnostic and Statistical Manual of Mental Disorders(DSM-IV) criteria.

Results: Eating disorders that met DSM-IV criteria were more prevalent in diabetic subjects (36, 10%) than in non-diabetic controls (49, 4%) (odds ratio 2.4, 95% confidence interval 1.5 to 3.7; P<0.001). Subthreshold eating disorders were also more common in those with diabetes (49, 14%) than in controls (84, 8%) (odds ratio 1.9, 95% confidence interval 1.3 to 2.8; P<0.001). Mean haemoglobin A1cconcentration was higher in diabetic subjects with an eating disorder (9.4% (1.8)) than in those without (8.6% (1.6)), P=0.04).

Conclusions: DSM-IV and subthreshold eating disorders are almost twice as common in adolescent females with type 1 diabetes as in their non-diabetic peers. In diabetic subjects, eating disorders are associated with insulin omission for weight loss and impaired metabolic control.

Introduction

Eating disorders are common in late adolescent and young adult women in westernised countries.13 These conditions are of particular concern in young women with type 1 diabetes mellitus because of their association with impaired metabolic control and an earlier than expected onset of diabetes related complications.46 Aspects of type 1 diabetes and its treatment that have been postulated to increase the risk of eating disorders in young women include the cycle of weight loss at disease onset and subsequent weight gain with the initiation of insulin treatment, the trend towards higher body mass index,7 dietary restraint necessitated by diabetes management, and the availability of deliberate insulin underdosing or omission as a weight loss strategy.8 However, whether eating disorders occur more frequently in females with diabetes than their non-diabetic peers is controversial.

Five controlled, interview based prevalence studies of eating disorders in young women with type 1 diabetes have been reported in which the authors concluded that eating disorders were not more common than in similar non-diabetic populations.913 However, these negative findings were based on small sample sizes of young women in the age group at highest risk for eating disorders and consequently had low statistical power to detect significant differences in prevalence. We compared the prevalence of eating disorders in a large sample of adolescent girls with type 1 diabetes to that in a large age matched, non-diabetic female population to determine whether eating disorders are more common among those with diabetes.

Participants and methods

Females aged 12 to 19 years who had had type 1 diabetes for at least one year were identified from diabetes clinic lists at the Hospital for Sick Children in Toronto, the Children's Hospital of Eastern Ontario in Ottawa, and the Children's Hospital at Hamilton Health Sciences Corporation in Hamilton, Ontario. The subjects were approached by post and telephone call or during clinic appointments. All three diabetes clinics are the main primary treatment centres in their areas for children and adolescents with type 1 diabetes, providing care for about 70% of potential patients within their catchment areas.

A comparison group of 2494 female students without diabetes was identified at junior high and high schools in Toronto, Ottawa, and Hamilton. The study was described in the same way to both the students and the diabetic patients. The subjects were approached individually whereas the controls were approached as a group during a class. We obtained research ethics approval for each site and informed written consent from each participant and her parent, when required.

Study protocol

All participants completed a self report screening package that included the eating disorder inventory,14 the eating attitudes test (EAT-26),15 and the diagnostic survey for eating disorders (modified).16 Body mass index (weight (kg)/(height (m)2)) was calculated based on self reported height and weight. Participants who were considered to be at risk of an eating disorder because they scored above predetermined cut off levels (box) were asked to complete the eating disorder examination (version 11.5d-modified), which is a semistructured diagnostic interview.17 An additional 15% of the subjects who did not meet the screening cut off were randomly selected for the interview to ensure interviewer blindness. Interviewers could not be blind to diabetes status because the questionnaire contained questions relating to diabetes, which we included for the diabetes sample (for example, on insulin omission for weight loss). Blood was obtained by finger prick from each of the diabetic subjects to measure haemoglobin A1c concentrations. All samples were analysed at the Hospital for Sick Children with the BioRad variant high pressure liquid chromatography assay (normal range 4-6%).18

Screening cut off criteria for interviews

  1. Score of 15 on drive for thinness subscale of the eating disorder inventor (corresponds to 88th percentile for girls aged 11 to 18 years and 47th percentile for patients with clinically diagnosed eating disorder 14)

  2. Score of 5 on bulimia subscale of the eating disorder inventory (86th percentile for 11 to 18 year old girls and 21st percentile for patients with eating disorder 14)

  3. Score of 20 on body dissatisfaction subscale of the eating disorder inventory (87th percentile for 11 to 18 year old girls and 60th percentile for eating disorder patients 14)

  4. Total score of 20 on the eating attitudes test (recommended cut off score for screening purposes 15)

  5. Current or past history of binge eating, self induced vomiting, use of laxatives or diuretics, insulin omission for weight loss, or current dietary restriction as assessed by the diagnostic survey for eating disorders

  6. History of eating disorder diagnosis or treatment reported in diagnostic survey for eating disorders

  7. 5th percentile of body mass index for age matched females 19

Screening measures

The eating disorders inventory and eating attitudes test are self administered questionnaires shown to be reliable and valid screening measures for eating disorders in both diabetic and non-diabetic populations.14 15 20 21 The eating disorders inventory provides quantitative assessments of specific eating attitudes and behaviours, and the eating attitudes test provides a total score for disturbed eating attitudes and behaviour. Scores on both questionnaires were corrected to discount items that may be scored positively because of diabetes and its treatment (such as “Aware of the calorie content of foods that I eat”). The diagnostic survey for eating disorders is a self administered questionnaire that allows the frequency of disturbed behaviour to be quantified.16 We modified this measure to include diabetes related items such as intentional insulin omission for weight loss.4 22 The eating disorders examination is a semistructured diagnostic interview that quantifies the symptoms, behaviour, and psychopathology of eating disorders and allows eating disorders to be diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV).23 This interview has good reliability and validity and is currently considered the gold standard for the standardised assessment of eating disorders.17 2426 We used a modified version to evaluate diabetes specific behaviour related to eating disorders and to determine if eating behaviour was motivated by diabetes management or weight and shape reasons.

Classification of eating disorders

The classification of eating disorders was based on data from the eating disorder examination interview. Subjects were classified as having a full syndrome eating disorder based on DSM-IV criteria (anorexia nervosa, bulimia nervosa, or “eating disorder not otherwise specified”) 23; a subthreshold eating disorder; or no eating disorder. These three categories were mutually exclusive (see BMJ's website for details of diagnostic criteria).

Based on DSM-IV criteria a minimum of four clinical symptoms over the past three months were necessary for the diagnosis of anorexia or bulimia nervosa. DSM-IV provides broad suggestions for diagnosis of eating disorders not otherwise specified. We operationalised the diagnosis of these disorders more precisely based on DSM-IV criteria and criteria used in previous controlled prevalence studies.10 11 Subthreshold eating disorders were considered to be milder eating disturbances with a lower frequency or severity of symptoms over the past three months than those specified in DSM-IV.

Statistical analysis

We used χ2 analyses with Yates's correction for continuity to test the prevalence of clinical and subthreshold eating disorders between the three cities and in the combined samples. Fisher's exact test was used to test the proportions for bulimia. We compared normally distributed continuous variables using Student's ttests and analysis of variance. Scheffe's method for post-hoc comparisons was used to deal with inflated type I error rates when significant effects were found by analysis of variance. Non-normal data were transformed logarithmically and independent ttests were used for comparisons between two groups. Odds ratios and corresponding confidence intervals were calculated to measure the main effect of diabetes on eating disorders. P values <0.05 were considered significant. All P values are two tailed.

Results

Participants and non-participants

In total, 361 of 430 eligible females with type 1 diabetes (84%) agreed to participate in the study. Of the 2494 eligible school girls without diabetes, 1840 (74%) returned signed consent forms and agreed to take part in the study, and an additional 151 (8%) subjects were absent or could not participate because of school tests on the day of the survey. Screening data were collected on 1689 subjects without diabetes. Based on projected numbers of diabetic subjects at each site, we randomly selected a subsample of 1114 age and site matched control subjects (roughly 3:1 ratio).

There were no significant differences between the three clinics or between the schools across the three cities. Therefore, all subsequent analyses were based on two groups—that is, combined diabetes and combined control samples. The mean body mass index was higher in the diabetes group (22.7 (SD 3.8) versus 20.6 (3.3), P<0.001), and the proportion of subjects from higher socioeconomic groups (IV, V, and VI) was slightly higher among control subjects (53% versus 61%, P=0.02) (table 1).

Table 1.

Demographic characteristics of study participants. Values are mean (SD) unless stated otherwise

View this table:

Self reported data

Based on the diagnostic survey for eating disorders, diabetic subjects reported more binge eating and less dieting for the purpose of losing weight than controls (table 2). There were no significant differences between the two groups in frequency of self induced vomiting or misuse of laxatives, or on the eating disorder inventory subscales or eating attitudes test total score.

Table 2.

Self reported behaviours of diabetic and control groups based on diagnostic survey for eating disorders (modified)

View this table:

A total of 48% of the control subjects (n=536) and 52% of the diabetic subjects (n=187) scored above the predetermined screening cut off and were asked to participate in the eating disorders examination diagnostic interview. Three per cent of both the controls (n=16) and the diabetic subjects (n=5) who met cut off criteria did not participate in the interview and were excluded from the prevalence analysis. In order to keep the interviewer blinded to screening status, an additional 98 control subjects (17%) and 38 diabetic subjects (19%) who did not meet cut off were randomly selected to participate in the interview. In total, 220 (61%) subjects with diabetes and 616 (55%) controls completed the eating disorder examination interview.

Frequency of DSM-IV and subthreshold eating disorders

table 3 shows the frequency of eating disorders based on DSM-IV criteria. Subjects with diabetes were 2.4 times more likely than controls to have an eating disorder (95% confidence interval 1.5 to 3.7). In total, 36 (10%) of the 356 diabetic subjects who completed the study met DSM-IV criteria for eating disorders compared with 49 (4%) of the 1098 non-diabetic controls (P<0.001). Eating disorder not otherwise specified was the most frequent diagnosis, and there were no cases of anorexia nervosa in either group. Diabetic subjects were also 1.9 times (1.3 to 2.8) more likely to have a subthreshold eating disorder than control subjects (49 (14%) versus 84 (8%); P<0.001). There was no significant difference in socioeconomic status between eating disorder groups.

Table 3.

Frequency of DSM-IV and subthreshold eating disorders among diabetic subjects and matched controls

View this table:

Insulin manipulation and haemoglobin A1c

In subjects with diabetes, deliberate insulin omission was the most common weight loss behaviour after dieting. At screening, 41 (11%) reported that they were currently taking less than their prescribed dose of insulin to lose weight. Fifteen (42%) of the 36 diabetic subjects with an eating disorder reported insulin misuse at the time of screening, which was significantly higher than the proportion in the subthreshold (9, 18%) and non-disordered groups (16, 6%; P<0.001). Diabetic subjects with eating disorders had significantly higher mean haemoglobin A1c concentrations (9.4% (SD 1.8)) compared with those without an eating disorder (8.6% (1.6), P=0.04). The mean haemoglobin A1c concentration for subjects with a subthreshold disorder (9.1% (1.8)) did not differ significantly from that in the DSM-IV or non-disordered groups.

Discussion

This multisite case-controlled study has shown that eating disorders that meet DSM-IV diagnostic criteria and their subthreshold variants are about twice as common in adolescent females with type 1 diabetes as in their non-diabetic peers. Among diabetic subjects, the mean haemoglobin A1c concentration was higher in those with an eating disorder than in those without an eating disorder. Such an association between eating disorders and impaired metabolic control may contribute to an increased risk of microvascular complications in young women with diabetes and eating disorders.4 27

Insulin omission, which is recognised as a purging behaviour in the DSM-IV criteria, was the most common weight loss method after dieting among the diabetic subjects. The availability of this method of weight control, together with the dietary restrictions imposed by the diabetes regimen, may explain why the diabetes group reported less dieting to lose weight than the control group, even though they reported more binge eating.

Our study has some limitations. Although the participation rates of 84% in the diabetes group and 74% in the control group are high, the possibility of selection bias cannot be excluded. In addition, our diabetes sample is not truly population based, and a referral bias to the paediatric diabetes clinics may exist. Finally, a higher proportion of our control subjects were in the upper socioeconomic group than the diabetic subjects. However, we found no statistical relation between socioeconomic status and eating disorder.

Despite these limitations, our study overcomes the methodological difficulties of previous studies. The findings are both statistically and clinically meaningful, and the magnitude of the difference in prevalence is comparable with that found in previous studies with small sample sizes.913 The increased prevalence of eating disorders in adolescent females with type 1 diabetes may reflect an interaction between individual and environmental factors in the pathogenesis of eating disorders, similar to that observed in other high risk groups, such as competitive athletes,28 models,29 and ballet dancers.30 However, eating disorders in adolescent females with type 1 diabetes pose a particular health risk in that they are associated with impaired metabolic control and about a threefold increase in the risk of diabetic retinopathy.4 Preliminary research suggests that clinic based interventions may help to diminish disordered eating attitudes in these young women.31 Further study is needed to determine whether intensive diabetes treatment regimens contribute to the increased risk of eating disorders in this population.

What is already known on this topic

Eating disorders in young diabetic women are associated with earlier onset of diabetic complications

Underdosing of insulin is a common method of weight loss among diabetic women

Small studies have found no difference in prevalence of eating disorders among adolescents with and without diabetes

What this study adds

The prevalence of eating disorders was about twice as high among diabetic females aged 12-19 as that among age matched controls

Diabetic subjects with eating disorders had higher haemoglobin A1c concentrations than those without eating disorders

Acknowledgments

We acknowledge the time and effort of the young women who participated in our study. We also thank David Streiner and Gerald Devins for their statistical and methodological contributions and Susan Bennett and Anne Rydall for help with data collection. Finally, we thank the staff at the participating hospitals and schools, and in particular John Vadermeulen at Hamilton Health Services.

Contributors: The research was developed within the diabetes and eating disorders research group of the University Health Network, the Hospital for Sick Children, Toronto, andthe University of Toronto, of which GR, DD, and MPO are senior members. The research formed part of JMJ's PhD thesis at the Institute of Medical Science, University of Toronto, which was supervised by GR. JMJ conducted the data collection and statistical analysis anddrafted the paper. MPO and MLL provided statistical guidance. All authors contributed to the revision and editing of the paper. GR and JMJ will act as guarantors for the paper.

Footnotes

  • Funding Medical Research Council of Canada (MA-12855), Children's Hospital of Eastern Ontario Research Institute (96/15S(E)), Genesis Foundation, and Toronto Hospital Psychiatry Research Fund.

  • Competing interests None declared.

  • Embedded Image The diagnostic criteria used for eating disorders are given on the BMJ's website

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