Background: Identifying high-risk populations and promoting stroke prevention measures can be achieved through studies on stroke and its risk factors. As a new alternative indicator of insulin resistance (IR), the triglyceride glucose (TyG) index may potentially increase stroke risk. However, the evidence confirming this association is inadequate and inconsistent, possibly due to variations in stroke assessment criteria or characteristics of the study populations. This study aims to evaluate the association between the TyG index and stroke risk level among individuals with normal-weight. Methods: A total of 30,895 participants aged ≥ 40 years with normal-weight were enrolled in this study. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Normal-weight was described as a body mass index (BMI) of 18.5-<24.0 kg/m². Stroke risk was assessed by the Stroke Risk Assessment Scale, developed by the China National Stroke Screening and Prevention Project. To evaluate the associations between the TyG index and stroke risk level, multivariate logistic regression models were employed. Results: Results showed that when the TyG index was considered as a continuous variable, each one unit increase in the TyG index was associated with a significantly higher risk of stroke [Moderate-risk (OR, 2.15; 95% CI, 2.03–2.28; P<0.001); High-risk (OR, 3.83; 95% CI, 3.57–4.10; P<0.001)]. Compared with Q1 of the TyG index, Q4 was significantly associated with moderate stroke risk (OR, 2.73; 95% CI, 2.50–2.99; P<0.001) and high stroke risk (OR, 5.39; 95% CI, 4.83–6.01; P<0.001). The continuous TyG index was an important risk factor for high stroke risk in the metabolically obese, normal-weight (MONW) individuals (OR, 3.44;95% CI, 2.92–4.06; P < 0.001). In the MONW individuals, when Q1 was used as a reference, participants in Q4 (OR, 5.33; 95% CI, 4.19–6.78; P < 0.001) was significantly associated with high stroke risk. Subgroup analysis showed significant interaction in the age and sex subgroups in the overall population (P_interaction <0.001). Conclusion: The risk of stroke is increased with the TyG index among Chinese adults of normal weight; hence, the index may be an important indicator for identifying high-risk stroke populations among individuals with normal body weight.

Objective: The popularization of the internet provides the possibility to improve the depressive symptoms (DS) and social isolation of middle-aged and older adults with functional disability. There was a significant correlation between internet use and DS in middle-aged and older adults with functional disability, but the relationship between internet use, social isolation, and DS remains to be confirmed.Methods: Data were obtained from 7,955 middle-aged and older adults aged 45 years and older from the 2018 China Health and Retirement Longitudinal Study (CHARLS). Multiple linear regression models were used to analyze the association between internet use and DS, and the Sobel test was used to explore mediating models.Results: Results showed that internet use was negatively associated with DS among Chinese middle-aged and older adults. Among them, social needs (B = −0.770, p = 0.041), and information reception (B = −1.067, p = 0.007) were significantly related to DS in middle-aged and older adults. Only information reception (B = −3.161, p = 0.031) was significantly related to DS among middle-aged and older adults with functional disability. Social isolation partially mediated the association between internet use and DS in middle-aged and older adults without functional disability, whereas it was fully mediated in middle-aged and older adults with functional disability.Conclusion: This study indicates that when formulating health policies to promote the mental health of Chinese middle-aged and older adults, the use of the internet should not be overlooked.

Smartphone distraction (SD) is closely related to depression, and the prevalence of SD among nursing students is gradually increasing. However, the potential mechanism of the effect of SD on nursing students’ depression is unclear. A total of 574 nursing students were assessed using Smartphone Distraction Scale, Ruminative Response Scale, Hikikomori Questionnaire, and Patient Health Questionnaire-9. The results indicated that SD among nursing students had an impact on depression through four pathways: (1) SD was positively associated with depression (β = 0.353, P < 0.001); (2) Rumination (β = 0.199, 95% CI: 0.081 to 0.162) and social withdrawal (β = 0.061, 95% CI: 0.034 to 0.091) mediated the effects of SD on depression, respectively; and (3) Rumination and social withdrawal played a chain mediating role in the effect of SD on nursing students’ depression (β = 0.027, 95% CI: 0.015 to 0.042). The negative impact of SD on nursing students’ mental health should not be taken lightly. Schools and hospitals should guide nursing students to use smartphones correctly, including providing mental health education and professional psychological counselling; families could play a supervisory role and communicate regularly to understand the psychological state and learning of nursing students. These measures can help nursing students cope with stress and reduce the risk of depression.

Mental health issues among older adults represent a major burden of disease worldwide. In China, WeChat applets have emerged as a promising tool for delivering mental health support, offering a solution to the accessibility and personalization limitations of conventional psychotherapy. However, the perceptions and needs of older adults regarding mental health WeChat applets remain unclear. To explore older adults’ perceptions and needs for mental health WeChat applets. We carried out a qualitative descriptive design. Sixteen participants were recruited from four communities in Wuhan, Hubei Province, using purposive sampling and snowball sampling. Face to face semi-structured in-depth interviews were conducted with them from January 15 to 25, 2025. Data were analysed using inductive content analysis. Three main themes were identified in this study: (1) Attitudes and perceptions, (2) Functional needs, and (3) Preferences for design and usability. Nine sub-themes were also identified. This study explored older adults’ attitudes and needs regarding mental health WeChat applets. The findings highlighted the importance of user-centered design, transparent data protection, and digital literacy support. Additionally, policy efforts should integrate mental health awareness into public health strategies and engage multiple stakeholders, including healthcare providers, community workers, policymakers, technology developers, and family members, to enhance the acceptance and effectiveness of digital mental health tools for older adults.

Background Smartphones have fully penetrated into the daily life of Chinese nursing students. While smartphones bring convenience to nursing students, they have also become an important risk factor for depression among nursing students. Among them, smartphone distraction is closely related to depression, and the prevalence of smartphone distraction among nursing students is gradually increasing. However, the potential mechanism of the effect of smartphone distraction on nursing students' depression is unclear. Methods A cross-sectional study design was used in this study. This study conducted an online questionnaire survey of undergraduate nursing students from several universities in Wuhan between September 2021 and May 2022. A total of 574 nursing students completed an online questionnaire in this study, which measured their levels of smartphone distractions, rumination, social withdrawal, and depression. The data were analyzed in this study using SPSS 25 and PROCESS 4.2. Results Smartphone distraction among nursing students had an impact on depression through four pathways: (1) Smartphone distraction significantly positively predicted depression (β = 0.353, P < 0.001); (2) Rumination (β = 0.199, 95% CI: 0.081 to 0.162) and social withdrawal (β = 0.061, 95% CI: 0.034 to 0.091) mediate the effects of smartphone distractions on depression, respectively; and (3) Rumination and social withdrawal played a chain mediating role in the effect of smartphone distractions on nursing students’ depression (β = 0.027, 95% CI: 0.015 to 0.042). Conclusion The negative impact of smartphone distraction on nursing students' mental health should not be taken lightly. Both schools and families should guide nursing students to use smartphones correctly and keep abreast of their motivation and thinking dynamics; enhance their social connection and social skills to reduce their risk of depression.