ArticleBrain sciences2026
Sleep Quality Profiles in Youth with Eating Disorders: A Latent Profile Analysis.
Article in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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11 authors.
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Abstract
BACKGROUND/
objectivesSleep disturbances are highly prevalent in young individuals with eating disorders (EDs) and are associated with increased psychopathology and poorer clinical outcomes. However, sleep alterations in ED populations are heterogeneous and may reflect distinct underlying clinical profiles. The study aimed to identify sleep quality profiles and examine their clinical correlates in youth with EDs.
methodsA total of 288 youth outpatients with EDs completed the Pittsburgh Sleep Quality Index (PSQI), along with measures of eating and general psychopathology. Latent Profile Analysis (LPA) was conducted using PSQI scores to identify distinct sleep profiles. Multinomial logistic regression models were performed to assess clinical variables of profile membership.
resultsA four-profile solution was identified: (1) less impaired sleepers, (2) medication-using sleepers, (3) global poor sleepers, and (4) sleep-initiation-difficulty sleepers. Profiles differed significantly in ED severity, affective symptoms, emotion regulation difficulties, and sleep-related eating behaviors. Profiles characterized by greater sleep impairment exhibited higher levels of binge eating, night eating, and psychological distress. Multinomial logistic regression analyses indicated that night eating was the largest contributor to latent profile membership across all comparisons, significantly increasing the likelihood of belonging to more impaired sleep profiles.
conclusionsSleep in individuals with EDs is characterized by distinct and clinically meaningful profiles rather than a uniform pattern of impairment. These findings support the clinical utility of person-centered approaches to better characterize sleep disturbances in ED populations.
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