Results 101 to 110 of about 983 (183)

Knowledge, Attitudes, and Behaviors towards Proper Nutrition and Lifestyles in Italian Diabetic Patients during the COVID-19 Pandemic. [PDF]

open access: yesInt J Environ Res Public Health, 2022
Arghittu A   +7 more
europepmc   +1 more source

Development and Validation of a Food Frequency Questionnaire to Assess Fermented Food Consumption in Adults

open access: yesJournal of Human Nutrition and Dietetics, Volume 39, Issue 1, February 2026.
The fermented food intake questionnaire (FFIQ), developed to assess habitual intake in adults aged 18–60 years, was validated against six 24‐h dietary recalls. The FFIQ showed reasonable validity and repeatability for total fermented food intake as well as for most individual foods and food categories.
Aimone Ferri   +7 more
wiley   +1 more source

Three Cases of Traumatic Insipid Diabetes

open access: yesFolia Endocrinologica Japonica, 1960
Sadayoshi YOKOH   +5 more
openaire   +2 more sources

Food Frequency Questionnaires Validated in Brazil: A Scoping Review

open access: yesJournal of Human Nutrition and Dietetics, Volume 39, Issue 1, February 2026.
Food frequency questionnaires (FFQs) validated for the Brazilian population, according to regions, dietary intake and target populations. ABSTRACT Objective To map food frequency questionnaires (FFQs) validated for the Brazilian population. Methods This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta ...
Acsa Nara A. Brito Barros   +4 more
wiley   +1 more source

Clinical Validation of Artificial Intelligence Algorithms for the Diagnosis of Adult Obstructive Sleep Apnea and Sleep Staging From Oximetry and Photoplethysmography—SleepAI

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Home sleep apnea tests (HSATs) have emerged as alternatives to in‐laboratory polysomnography (PSG), but Type IV HSATs often show limited diagnostic performance. This study clinically validates SleepAI, a novel remote digital health system that applies AI algorithms to raw oximetry data for automated sleep staging and obstructive sleep apnea ...
Shirel Attia   +10 more
wiley   +1 more source

Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short‐Term Memory Deep Learning Algorithm: A Performance Evaluation

open access: yesJournal of Sleep Research, Volume 35, Issue 1, February 2026.
ABSTRACT Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short‐term memory (LSTM) is a machine learning algorithm that may address these deficiencies.
R. Glenn Weaver   +18 more
wiley   +1 more source

Longitudinal sex differences in cerebrovascular ageing in older adults: results from the brain in motion study

open access: yesThe Journal of Physiology, Volume 604, Issue 3, Page 1088-1112, 1 February 2026.
Abstract figure legend Longitudinal assessment of sex differences in cerebrovascular ageing over a ∼6 year period: the Brain in Motion study. Cerebrovascular function was assessed at baseline (T1) and at a follow‐up (T2) ∼6 years later, at rest, during euoxic hypercapnia and while engaging in submaximal exercise. Over the follow‐up period females had a
Connor Snow   +10 more
wiley   +1 more source

Sleep-Disordered Breathing, Quality of Sleep and Chronotype in a Cohort of Adult Patients with Bardet-Biedl Syndrome. [PDF]

open access: yesNat Sci Sleep, 2021
Dormegny L   +7 more
europepmc   +1 more source

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