Missing data in long-term follow-up of patients with eating disorders using the body attitude test.
OBJECTIVE
Incompleteness of data is a major problem within clinical follow-up studies. The aim of present study was to compare different statistical models in the management of follow-up data in patients with eating disorders using the Body Attitude Test.


METHODS
A prospective longitudinal investigation with repeated evaluations over fixed time intervals was conducted among 807 female patients with eating disorders using the Body Attitude Test as a dependent-variable. Three types of missing data mechanisms were explored: missing completely at random, missing at random and missing not at random.


RESULTS
Multivariate analysis showed that the missing completely at random type of missing data mechanism is less reliable than the missing at random or missing not at random mechanisms. Five years after admission, the body experience of eating disorder patients is less deviant. Compared with normative data, 37% of the eating disorder patients still had a more negative body experience 5 years after admission.


CONCLUSIONS
There is no single correct method for dealing with missing data. Therefore, it is recommended that multiple methods be used under different assumptions of absenteeism.
Interuniversity for Biostatistics and statistical Bioinformatics, Universiteit Hasselt, Belgium.
Candida
C
Geerdens
Johan
J
Vanderlinden
Guido
G
Pieters
Amber
A
De Herdt
Michel
M
Probst
D000293:Adolescent; D000328:Adult; D001828:Body Image; D001068:Feeding and Eating Disorders / Q000523:psychology*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D013223:Statistics as Topic; D011795:Surveys and Questionnaires