Results 201 to 210 of about 132,673 (266)

Sex Differences in Social, Health, and Lifestyle Characteristics Associated With Binge‐Eating Behaviors: Results From a French National Random Population‐Based Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To explore sex differences in social, health and lifestyle characteristics associated with binge‐eating behaviors in a large population‐based study. Method This study included 84,995 participants (women 52.1%) aged ≥ 15 years from the French national random population‐based EpiCov cohort.
Junko Kose, Nathalie Godart, Anne Pastorello, Caroline Huas, Alexandra Rouquette, EpiCov Study Group, Josiane Warszawski, Nathalie Bajos, Guillaume Bagein, François Beck, Emilie Counil, Florence Jusot, Nathalie Lydié, Claude Martin, Laurence Meyer, Philippe Raynaud, Alexandra Rouquette, Ariane Pailhé, Delphine Rahib, Patrick Sillard, Rémy Slama, Alexis Spire   +21 more
wiley   +1 more source

Sleep Disturbance Among Nurses in Al-Dakhiliyah Governorate, Oman. [PDF]

Cureus
Al Nabhani A, Al Harrasi M, Al Tubi A, Al Busaidi AZ, Al Kharusi K, Al Busaidi T, Al Furqani I.   +6 more
europepmc   +1 more source

Daily Ovarian Hormone Exposure and Loss of Control Eating in Adolescent Girls: A Stage 2 Registered Report

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective This Stage 2 Registered Report examined (1) the main effects and interaction of within‐person daily associations between ovarian hormones (i.e., estrogen, progesterone) and loss of control eating (LOCE), and (2) the within‐person mediating roles of food‐related reward anticipation and response inhibition. Methods Adolescent girls (n =
Tyler B. Mason, Jeremy C. Morales, Kathryn E. Smith, Genevieve F. Dunton, Raina D. Pang   +4 more
wiley   +1 more source

Arabic version of the General Sleep Disturbance Scale among healthcare night-shift workers: a cross-sectional validation study. [PDF]

BMJ Neurol Open
Osama W, Magdy R, Elashiry A, Hussein M, Tarek MA, Abdelbar SMM, Ismail SAA, Mourad BH, Hegazy MT, Farrag A, Abdel-Hamid HM, Heneidy S.   +11 more
europepmc   +1 more source

Epidemiology of Intensive Nutritional Interventions and Restraints in Hospitalizations for Anorexia Nervosa: Annual National Trends of the United States

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Despite the clinical relevance of enteral and parenteral tube feeding and restraint use in anorexia nervosa (AN), national‐level data on their use have remained limited, particularly for total parenteral nutrition (TPN) and percutaneous endoscopic gastrostomy (PEG).
Hiroyasu Ino, Nancy S. Jecker, Yoshiyuki Takimoto, Eisuke Nakazawa   +3 more
wiley   +1 more source

Sleep disturbance and daytime functional impairment among adolescent outpatients with depression and non-suicidal self-injury. [PDF]

BMC Psychiatry
Liu T, Hong T, Wang R, Chen Y, Lin C, Mo J, Wei Y, Pan Q, He X, Li J.   +9 more
europepmc   +1 more source

Is sleep disturbance associated with treatment outcome among individuals with binge-spectrum eating disorders? A preliminary study. [PDF]

Eat Disord
Manasse SM, Lampe EW, D'Adamo L, Wetherall L, Juarascio AS.   +4 more
europepmc   +1 more source

Nanophotonic Biosensors and the Paradigm of Trans‐Scale Autonomous Bio‐Integrated Diagnostics for Addressing Health Complexities

Electron, EarlyView.
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary, Harsh Sable, Sonu Sonu, Lakshita Phor, Reddicherla Umapathi, Pradeep Bhadola   +5 more
wiley   +1 more source

CD4⁺ T cell dysregulation in major depressive disorder is associated with sleep disturbance. [PDF]

Front Psychiatry
Gao Y, Lei Z, Ren Y, Zhan X, Chen Z, Guo Z, Zhou Z, Ma X, Li P.   +8 more
europepmc   +1 more source

A Research Classification for Long COVID: Symptom Frequency and Severity Improve Accuracy of Machine Learning Models

Chronic Diseases and Translational Medicine, EarlyView.
Leonard A. Jason, Lauren Ruesink, Jacob Furst, Ben Z. Katz   +3 more
wiley   +1 more source