Add like
Add dislike
Add to saved papers

Clinical features of night eating syndrome among depressed patients.

OBJECTIVE: The aim of this study was to investigate the frequency and clinical features of night eating syndrome (NES) in a sample of patients with depression.

METHODS: The study sample consisted of 155 depressed outpatients. Socio-demographic Form, Beck Depression Inventory, Beck Anxiety Inventory, Maudsley Obsessive-Compulsive Inventory, Pittsburgh Sleep Quality Index (PSQI) and Night Eating Questionnaire were utilised for data collection.

RESULTS: Night eating syndrome was identified in 21.3% of the patients. Comparisons between NES and non-NES patients revealed significant differences in BMI, smoking status, Beck Depression Inventory, Beck Anxiety Inventory, rumination and PSQI sub-scores for sleep quality, latency, disturbances and daytime dysfunction. In our sample, the predictors of NES were BMI, smoking and the subject's score on the PSQI sleep disturbances subscale.

CONCLUSIONS: Night eating syndrome is negatively associated with sleep, severity of anxiety and depression. Our findings suggest that there is a complex relation between NES and depression, and it is recommended that depressed patients be evaluated for NES.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app