Where appropriate, confidence intervals for rates and proportions were based on methods that use Poisson or binomial distributions to allow for small numbers. Estimation procedures were used with logistic regression analyses to allow for probability weighting and complex survey design. We analysed the data with stata software. 8, 9 Many of these earlier limitations have been addressed in our prospective study of eating disorders in almost 2000 Australian secondary school students. The interpretation of available cohort studies has been marred by incompleteness of follow up, restriction to only two measurement points, and uncertain reliability in the measurement of both eating disorders and putative risk factors. Case-control studies are also restricted in the evaluation of factors that vary with time, for example, dieting and psychiatric morbidity, when an eating disorder can influence both the presence of a risk factor and its recall. 5 But because these subjects were studied on average eight years after the first appearance of symptoms, it was difficult to distinguish influences on the course of the eating disorder from factors that caused it. A recent case-control study of young adults linked dieting, psychiatric morbidity, and obesity to eating disorders. Rigorous population based studies on risks for eating disorders have been few.
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5 Cross sectional surveys have confirmed that eating disorders are common in adolescent women around 0.5% have anorexia nervosa, 1% have bulimia nervosa, and 3% to 5% have subclinical syndromes.
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3, 4 The features of eating disorders most commonly emerge in mid-adolescence, before the development of full syndromes. 1, 2 Lifetime risks in women have been estimated at 8% for bulimic syndromes and around 3% for anorexic syndromes.
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Eating disorders in young women are common and associated with significant mortality and morbidity.