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Purpose: To investigate the separate and joint association between snoring and total sleep duration with the risk of type 2 diabetes mellitus (T2DM) in both genders within Chinese rural community.
Methods: The Henan Rural Cohort Study included a total of 28093 participants. Data on snoring and total sleep duration were obtained through the Pittsburgh Sleep Quality Index (PSQI). Binary logistic regression was employed to assess the correlation between snoring and total sleep duration with T2DM.
Results: The prevalences of T2DM were 8.53% in males and 9.27% in females. Males exhibited a higher prevalence of snoring (34.90%) compared to females (22.42%), and the median of total sleep duration was also longer in males (8.83 h) than in females (8.67 h), respectively (P < 0.001). Females who snored had an adjusted odds ratio (OR) and 95% confidence interval (CI) for T2DM of 1.19 (1.06, 1.35) when contrasted with non-snorers. Compared with optimal total sleep duration (6-8 h), longer total sleep duration (≥ 8 h) increased the prevalence of T2DM by 17% (95%CI: 3%, 32%) in females. Additionally, the participants with shorter total sleep duration (< 6 h) and snoring have the highest risk of T2DM, with an increase of 91% (95%CI: 20%, 204%) than those with optimal total sleep duration and non-snorers in females. These significant associations were not found in males.
Conclusions: Snoring and longer total sleep duration independently elevated the prevalence of T2DM. Meantime, a synergistic relationship was observed between snoring and total sleep duration with a higher prevalence of T2DM. These associations exhibited gender-specific differences.
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http://dx.doi.org/10.1007/s11325-024-03133-x | DOI Listing |
J Telemed Telecare
September 2025
Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
IntroductionThe use of digital solutions including patient-reported outcomes is limited to follow-up of patients with established diagnoses but is rarely used as first step of the diagnostic process substituting a personal contact with a health professional. We report on the diagnostic validity and cost per patient implications based on a feasibility study of a new virtual diagnostic service (VDS) for common neurological sleep disorders that, as a first step, involves the collection and automated analysis of self-reported digital patient data.MethodsThe VDS was established at the Odense University Hospital, Denmark.
View Article and Find Full Text PDFDiabetes Obes Metab
September 2025
Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus N, Denmark.
Background: Taste and smell disorders are more common in individuals with diabetes, particularly among those with low insulin sensitivity or central obesity. These disorders may affect glycaemic control by altering dietary habits. This study aimed to investigate self-reported taste and smell dysfunction in individuals with diabetes and explore associations with clinical and behavioural factors.
View Article and Find Full Text PDFCurr Addict Rep
December 2025
Syracuse University Department of Psychology, 352 Marley Educational Building, Syracuse, NY 13244.
Purpose Of Review: This paper aimed to estimate pooled bi-directional associations between multidimensional sleep health and substance use among youth and investigate whether these associations differed as a function of race/ethnicity.
Recent Findings: Empirical observational studies providing quantitative data on the association of sleep health (duration [sleep obtained per 24 hours], satisfaction [subjective assessment of sleep], alertness [ability to maintain attentive wakefulness], and timing [placement of sleep]) and substance use (i.e.
JAMIA Open
October 2025
Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, United States.
Objectives: Unstructured data, such as procedure notes, contain valuable medical information that is frequently underutilized due to the labor-intensive nature of data extraction. This study aims to develop a generative artificial intelligence (GenAI) pipeline using an open-source Large Language Model (LLM) with built-in guardrails and a retry mechanism to extract data from unstructured right heart catheterization (RHC) notes while minimizing errors, including hallucinations.
Materials And Methods: A total of 220 RHC notes were randomly selected for pipeline development and 200 for validation from the Pulmonary Vascular Disease Registry.
CHEST Pulm
June 2025
Division of Rheumatology (K. R. M.), Johns Hopkins University, Baltimore, MD; the Division of Pulmonary & Critical Care (O. A.), Yale School of Medicine, New Haven, CT; the Divisions of Pulmonary & Critical Care Medicine (A. M. M., E. S. C., N. W. L., and M. S.), and Cardiology (N. A. G.), and Depar
Background: Sarcoidosis is a complex granulomatous disease that benefits from multidisciplinary subspecialty expertise. Inequitable access to care contributes to racial disparities in many diseases; however, to our knowledge, no studies have examined racial differences in referral times to Sarcoidosis Centers of Excellence.
Research Question: Is there an association between race and time from sarcoidosis diagnosis to referral to an independently certified, peer-reviewed World Association of Sarcoidosis and Other Granulomatous Disorders Center of Excellence? Does a referral result in a change in sarcoidosis management?
Study Design And Methods: We retrospectively reviewed all 2021 referrals to the Johns Hopkins Sarcoidosis Center of Excellence.