ArticleEating and weight disorders : EWD2019
Characteristics of patients in an eating disorder sample who dropped out: 2-year follow-up.
Article in Eating and weight disorders : EWD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Impulsivity and reward and punishment sensitivity among patients admitted to a specialized inpatient eating disorder treatment program.Frontiers in psychiatry · 2024Article
- Patient perspectives on premature termination of eating disorder treatment: a systematic review and qualitative synthesis.Journal of eating disorders · 2022Review
- Experiences of eating disorders from the perspectives of patients, family members and health care professionals: a meta-review of qualitative evidence syntheses.Journal of eating disorders · 2021Review
- Treatment dropout in a family-based partial hospitalization program for eating disorders.Eating and weight disorders : EWD · 2019Article
- A 10-year follow-up study of completers versus dropouts following treatment with an integrated cognitive-behavioral group therapy for eating disorders.Journal of eating disorders · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis manuscript explores the characteristics of individuals diagnosed with an eating disorder who dropped out of treatment, compared with those who completed it.
methodThe participants were 196 patients diagnosed with eating disorders (according to DSM-IV-TR criteria) who consecutively began treatment for the first time in an eating disorders unit. They were assessed at baseline with a set of questionnaires evaluating eating habits, temperament, and general psychopathology. During the follow-up period, patients who dropped out were re-assessed via a telephone interview.
resultsIn the course of a 2-year follow-up, a total of 80 (40.8%) patients were labeled as dropouts, and 116 (59.2%) remaining subjects were considered completers. High TCI scores in the character dimensions of Disorderliness (NS4) (p < .01) and total Novelty Seeking (NST), along with low scores in Dependency (RD4), were significantly associated with dropout in the course of 2 years. Once the results were submitted to logistic regression analysis, dropout only remained associated with high scores in Disorderliness (NS4) and, inversely, with an initial Anorexia Nervosa (AN) diagnosis (p < .05). Reasons for dropout stated by the patients included logistic difficulties, subjective improvement of their condition, and lack of motivation. DISCUSSION: Clinicians should handle the first therapeutic intervention with particular care in order to enhance their understanding of clients and their ability to rapidly identify those who are at risk of dropping out of treatment. LEVEL OF EVIDENCE: Level III: Cohort Study.
Indexed as
Identifiers
28717972What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.