Heart rate variability as a biomarker for anorexia nervosa: A review-Reference-Cited by-同舟云学术

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Heart rate variability as a biomarker for anorexia nervosa: A review

Published:2020-09-25 Issue:1 Volume:29 Page:20-31
ISSN:1072-4133
Container-title:European Eating Disorders Review
language:en
Short-container-title:Eur Eat Disorders Rev

Author:

Peyser Deena¹^ORCID,Scolnick Barbara²,Hildebrandt Tom¹,Taylor J. Andrew³

Affiliation:

1. Icahn School of Medicine at Mount Sinai New York New York USA

2. Department of Psychology Boston University Boston Massachusetts USA

3. Spaulding Research Institute and Department of Physical Medicine and Rehabilitation Harvard Medical School Boston Massachusetts USA

Publisher

Wiley

Subject

Psychiatry and Mental health,Clinical Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/erv.2791

Reference77 articles.

1. Left ventricular function in malnutrition;Alden P. B.;American Journal of Physiology,1987

2. Actions of adiponectin on the excitability of subfornical organ neurons are altered by food deprivation

3. The relationships of resting baroreflex sensitivity, heart rate variability and measures of impulse control in children and adolescents

4. Exercise training bradycardia is largely explained by reduced intrinsic heart rate

5. Changes of Pain Perception, Autonomic Function, and Endocrine Parameters During Treatment of Anorectic Adolescents

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1. High frequency heart rate variability is associated with sensitivity to affective touch;Physiology & Behavior;2024-09

2. Exploring biologically oriented precision mental health initiatives for the care of patients with eating disorders: A narrative review;European Eating Disorders Review;2024-06-12

3. Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol;BMC Psychiatry;2024-05-30

4. Momentary physiological indices related to eating disorders: A systematic and methodological review;European Eating Disorders Review;2024-03-06

5. A machine learning approach to developing an accurate stratification of type 2 diabetes mellitus based on heart rate variability parameters using the k-means clustering technique in elderly women;Gazzetta Medica Italiana Archivio per le Scienze Mediche;2024-03

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