Intestinal flora composition and fecal metabolic phenotype in elderly patients with sleep disorders combined with type 2 diabetes.

Objectives: This study aimed to determine whether type 2 diabetes (T2D) is an independent risk factor for sleep disorders in the elderly and explore the possible intestinal flora factors of sleep disorders combined with T2D in this population.

Methods: All hospitalized patients with sleep disorders aged ≥65 years between June and November 2023 were retrospectively analyzed, and they were divided into a sleep disorder group ( = 134) and a control group ( = 109). The logistic regression method was utilized to clarify the causal relationship between T2D and sleep disorders.

An early warning model of type 2 diabetes risk based on POI visit history and food access management.

Type 2 diabetes (T2D) is a long-term, highly prevalent disease that provides extensive data support in spatial-temporal user case data mining studies. In this paper, we present a novel T2D food access early risk warning model that aims to emphasize health management awareness among susceptible populations. This model incorporates the representation of T2D-related food categories with graph convolutional networks (GCN), enabling the diet risk visualization from the geotagged Twitter visit records on a map.