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Objective: The aim of this study was to evaluate the present status of self-management behavior and glycemic control in individuals diagnosed with Type 2 Diabetes Mellitus (T2D), as well as to examine the impact of health quotient (HQ) and time management skills on both self-management behavior and glycemic control., Methods: Between October 2022 and March 2023, a purposive sampling method had been utilized to select 215 participants with type T2D. The survey concluded a general information questionnaire, an HQ scale, a diabetes time management questionnaire and a self-management behavior questionnaire. The health quotient(HQ)encompasses the individuals' knowledge, attitude toward health, and the ability to maintain their own well-being. The diabetes time management questionnaire was reverse-scored, with higher scores indicating an enhanced competence in time management. The path among variables was analyzed using structural equation modeling(SEM)., Results: SEM showed that the direct effect of HQ on time management was -0.566 ( p  < 0.05), the direct effect of time management on the effect of self-management was -0.617 ( p  < 0.05), the direct effect of HQ on self-management was 0.156, and the indirect effect was 0.349 ( p  < 0.05); the relationship between health quotient and self-management was partially mediated by time management, with a mediating effect size of 68.8%. In addition, self-management had a direct effect on HbA lc , with a size of -0.394 ( p  < 0.05); The impacts of both HQ and time management on HbA lc were found to be mediated by self-management, with HQ demonstrating an indirect effect of -0.199 ( p  < 0.05) and time management showing an indirect effect of 0.244 ( p  < 0.05)., Conclusion: Health quotient and time management in patients with T2D serve as catalysts for self-management behavior. They affect HbA lc level indirectly through self-management practices. The suggestion is to prioritize the cultivation of rational time organization and management skills in T2D patients, as well as enhance their health quotient level. This can facilitate a more effective improvement in patients' self-management behaviors, ultimately achieving the objective of maintaining optimal glycemic control., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Chen, Liu, Pu, Wu, Zhang, Tang, Kong, Guo, Zhu, Xie, Li, Deng and Xiong.)

The variability in diabetes risk factors, such as uric acid and lipids, may influence the development of complications. This study aimed to investigate the influence of such variability on the occurrence of diabetic complications. A retrospective analysis of electronic medical records was conducted with type 2 diabetic patients who received treatment at a tertiary care hospital in Chengdu, Sichuan Province, between 2013 and 2022. The risk factor variability is presented as the standard deviation (SD). The associations between the variability and complications were examined using a binary logistic regression model. The study included 369 patients with type 2 diabetes. The findings revealed that outpatient special disease management served as a protective factor against the development of complications [OR = 0.53, 95% confidence interval (CI) (0.29-0.10)], particularly for the prevention of diabetic peripheral neuropathy [OR = 0.51, 95% CI (0.30-0.86)]. Variability in total cholesterol (TC-SD) was found to be a risk factor for the development of complications [OR = 2.42, 95% CI (1.18-4.97)] and acted as a risk factor for diabetic peripheral vasculopathy [OR = 2.50, 95% CI (1.25-5.02)]. TC-SD is a risk factor for the occurrence of diabetic peripheral neuropathy and diabetic peripheral vasculopathy, whereas outpatient special disease management functions as a protective factor against complications and diabetic peripheral neuropathy. Thus, in addition to glycaemic control, the regulation of lipid levels should be emphasized, particularly among patients without outpatient special disease management, to delay the onset of complications., (© 2024. The Author(s).)

Background: Light influences the secretion of melatonin in the body and regulates circadian rhythms, which play an important role in sleep and mood. The light level of rooms in long-term care facilities is usually far below the threshold required to regulate the body's circadian rhythm, and insufficient light can easily lead to sleep and mood disturbances among older residents in nursing homes. Therefore, the objective of this study was to investigate the effects of light therapy on sleep and circadian rhythm in older adults with type 2 diabetes residing in long-term care facilities., Methods: This study was a prospective, single-blind, randomized controlled trial. Participants were randomly assigned to either the light therapy (LT) group or the control group and received the intervention for four weeks. Primary outcomes included the Pittsburgh Sleep Quality Index (PSQI) and objective sleep parameters recorded by a sleep monitoring bracelet, Morningness-Eveningness Questionnaire (MEQ). The secondary outcome included glycated serum protein (GSP). Data was collected at three time points: at baseline (T0), immediate post-treatment (T1), and 4-week follow-up (T2). A linear mixed model analysis was used to analyzed the data., Results: We enrolled 45 long-term care residents. Compared with the control group, significant reductions in PSQI scores were observed at T1 and T2. At T2, the sleep score of objective sleep parameters was significantly higher in the LT group compared to the control group. Additionally, compared to the baseline T0, MEQ scores were significantly lower in the LT group at T1 and T2, with no significant difference in the control group. There was no significant difference between groups in glycated serum protein values at T1 and T2. However, compared to T0, glycated serum protein values decreased in the LT group while increased in the control group at T2., Conclusion: Light therapy had a positive effect on subjective sleep quality and circadian rhythm time type in long-term care residents with type 2 diabetes, and had a possible delayed effect on objective sleep. However, no discernible alterations in blood glucose levels were detected in this study., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Wu, Luo, Pu, Wang, Guo, Zhang, Tang, Chen, Kong, Huang, Chen, Li, Zhao and Xiong.)

Background: The global burden of type 2 diabetes has significantly increased, leading to a considerable impact on healthcare systems worldwide. While the advent of mobile healthcare has provided some relief by addressing the shortage of certain medical resources, its adoption among the Chinese population remains relatively low. To extend the benefits of mHealth to a greater number of Chinese diabetic patients, it is essential to investigate the factors that influence their willingness to utilize it and implement targeted interventions based on these influencing factors. The Technology Acceptance Model (TAM) is widely employed to examine users' ultimate usage behaviors, and previous studies have indicated the potential relevance of the Perceived Risk (PR) theory and the eHealth Literacy Theory to users' usage behaviors., Objective: Our objective was to investigate the determinants that affect the willingness of Chinese patients diagnosed with type 2 diabetes patients to utilize digital disease management applications (DDMAs)., Methods: We conducted a cross-sectional study of patients with type 2 diabetes in three tertiary general hospitals in Chengdu using questionnaires designed by the investigators. Participants were sampled using a convenience sampling method. The questionnaire comprised three sections: socio-demographic profile and medical history; current awareness and willingness to use digital disease management applications; and the current level of e-health literacy. Structural equation modeling was employed to assess the impact of patient awareness of DDMAs and e-health literacy on the willingness to use such DDMAs., Results: (1) Patients' attitudes toward using DDMAs were significantly influenced by perceived ease of use ( β = 0.380, P < 0.001) and perceived usefulness ( β = 0.546, P < 0.001); (2) Electronic health literacy exerted a significant impact on patients' perceived usefulness ( β = 0.115, P = 0.0 18) and perceived ease of use ( β = 0.659, P < 0.001); (3) Patients' willingness to use was significantly influenced by perceived usefulness ( β = 0.137, P < 0.001) and use attitude ( β = 0.825, P < 0.001)., Conclusions: The present research findings hold both theoretical and practical significance, and can serve as a guide for healthcare practitioners and researchers to gain a deeper comprehension of the acceptance of digital disease management applications (DDMAs) among type 2 diabetes patients., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Zhang, Zhang, Zhu, Yang, Chen, Wang, Li and Xiong.)

Aim: The present study aims to utilize structural equation modeling (SEM) to investigate the factors impacting long-term glycemic variability among patients afflicted with type 2 diabetes., Method: The present investigation is a retrospective cohort study that involved the collection of data on patients with type 2 diabetes mellitus who received care at a hospital located in Chengdu, Sichuan Province, over a period spanning from January 1, 2013, to October 30, 2022. Inclusion criteria required patients to have had at least three laboratory test results available. Pertinent patient-related information encompassing general demographic characteristics and biochemical indicators was gathered. Variability in the dataset was defined by standard deviation (SD) and coefficient of variation (CV), with glycosylated hemoglobin variation also considering variability score (HVS). Linear regression analysis was employed to establish the structural equation models for statistically significant influences on long-term glycemic variability. Structural equation modeling was employed to analyze effects and pathways., Results: Diabetes outpatient special disease management, uric acid variability, mean triglyceride levels, mean total cholesterol levels, total cholesterol variability, LDL variability, baseline glycated hemoglobin, and recent glycated hemoglobin were identified as significant factors influencing long-term glycemic variability. The overall fit of the structural equation model was found to be satisfactory and it was able to capture the relationship between outpatient special disease management, biochemical indicators, and glycated hemoglobin variability. According to the total effect statistics, baseline glycated hemoglobin and total cholesterol levels exhibited the strongest impact on glycated hemoglobin variability., Conclusion: The factors that have a significant impact on the variation of glycosylated hemoglobin include glycosylated hemoglobin itself, lipids, uric acid, and outpatient special disease management for diabetes. The identification and management of these associated factors can potentially mitigate long-term glycemic variability, thereby delaying the onset of complications and enhancing patients' quality of life., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Gan, Chen, Kong, Wu, Pu, Wang, Zhou, Fan, Xiong and Qi.)

Background: China has the largest number of individuals with type 2 diabetes mellitus (T2DM) in the world, and most lack knowledge about glycemic control and health management. This trial will examine whether a smartphone application can improve blood glucose management among individuals with T2DM., Methods: This will be a 2-center, factorial design, equal proportional distribution, superiority trial conducted in outpatient endocrinology clinics at two tertiary hospitals in Chengdu, China. The trial will enroll smartphone-literature individuals at least 18 years old who have been diagnosed with T2DM based on glycosylated hemoglobin (HbA 1c ) of at least 7.0%. Individuals will be randomly assigned to receive routine care with standard education about T2DM and glycemic control (Control), routine care as well as weekly telephone reminders to self-monitor blood glucose (Reminder), routine care and a smartphone application providing information about glycemic control and health management with T2DM (App), or the combination of routine care, the smartphone application, and weekly telephone reminders (App + Reminder). After 6 months of these interventions, participants will be analyzed for the primary outcome of HbA 1c as well as the secondary outcomes of blood glucose monitoring frequency, body mass index, blood pressure, knowledge about diabetes, health beliefs related to diabetes, diabetes self-management behavior, and satisfaction with the smartphone application., Discussion: This trial will determine whether a smartphone application can improve glycemic management among Chinese with T2DM. The findings may help guide the development of effective applications in China and elsewhere., Trial Registration: Registration in the Chinese Clinical Trial Registry (ChiCTR) under registration number ChiCTR2100042297: https://www.chictr.org.cn/bin/userProject . 17 January 2021., (© 2023. The Author(s).)

Background: Self-monitoring of blood glucose (SMBG) by individuals with type 2 diabetes (T2D) is crucial for long-term health, yet numerous cultural, economic and health factors can reduce SMBG. Most studies on SMBG adherence have come out of the US and Europe, and their relevance to Asia is unclear. The aims of the present study were to assess the current state of SMBG in China and analyze demographic and diabetes-related characteristics that may influence it., Methods: In this multi-center, cross-sectional study, 5 953 individuals with T2D from 50 medical centers in 29 provinces across China filled out a standardized questionnaire that requested information on demographic characteristics, education level, occupation, income, lifestyle risk factors, duration of diabetes, chronic complications, and frequency of SMBG. Respondents were also asked whether their glycosylated hemoglobin (HbA1c) had been checked in the past 6 months. The most recent values for fasting plasma glucose, 2-hour postprandial blood glucose and HbA1c were recovered from medical records., Results: Only 1 130 respondents (18.98%) performed SMBG with the recommended frequency, while 4 823 (81.02%) did not. In fact, nearly 2 105 (35.36%) reported never performing SMBG. In the subset of 3 661 individuals on insulin therapy, only 266 (7.27%) performed SMBG at least once a day, while 1 210 (33.05%) never performed it. In contrast, 895 of 2 292 individuals (39.05%) on diet/exercise therapy or oral hypoglycemic therapy never performed it. Multivariate Logistic regression identified several factors associated with SMBG adherence: female gender, higher education level, higher income, longer T2D duration and education about SMBG., Conclusions: SMBG adherence in our Chinese population with T2D was less frequent than that in developed countries. Several factors influence SMBG adherence: gender, education level, income, T2D duration, therapy regimen and exposure to education about SMBG.

Background: Insulin injection therapy is one of the most effective treatments for type 2 diabetes mellitus (T2DM). Many people with T2DM in western countries resist starting insulin therapy; whether the same is true in China is unknown. This survey-based study assessed acceptance and rejection of insulin therapy among individuals with T2DM in China and self-reported reasons for these therapy choices. It also examined what methods may be useful for increasing the rate of insulin acceptance., Methods: A multi-center, cross-sectional survey was conducted between April and July 2010 to a convenience sample of inpatients and outpatients at 50 medical centers across 29 administrative divisions in China. Data were collected on sociodemographic and T2DM characteristics, therapy regime, and attitudes toward insulin therapy., Results: A total of 6 043 patients were surveyed, and 5 961 complete questionnaires (98.6%) were used in the analysis. Just over half the respondents (3 460, 58.0%) reported negative attitudes to insulin therapy, including 2 508 of the 4 469 patients (56.1%) whose physicians had recommended it to them. Of the patients counseled to use insulin, 800 (17.9%) were unwilling to start therapy and cited the following reasons: inconvenience (64.3%); concerns over addiction (24.6%); pain (14.3%); side effects (14.1%); and high cost (13.6%). Logistic regression suggested that respondents would be more willing to undertake insulin therapy if they had received diabetes education, had positive attitudes to the treatment, had higher glycosylated hemoglobin level, or had suffered diabetes for a longer period or with more complications., Conclusions: Patients with T2DM in China are often resistant to insulin therapy if they have been diagnosed with the disease for a relatively short time or if the disease has been relatively mild. Educating patients on the benefits of insulin therapy, not only at the initial diagnosis with T2DM but also when insulin therapy becomes necessary, will likely increase their willingness to undertake it.