UNASSIGNED: The triglyceride-glucose (TyG) index, a simple surrogate marker of insulin resistance, is significantly associated with chronic kidney disease (CKD). However, there is limited research on the longitudinal trajectory of TyG index over time and its relationship with CKD.
UNASSIGNED: To analyse the characteristics of the longitudinal trajectory of the TyG index over time and its association with the development of CKD in a health check-up population.
UNASSIGNED: Participants who underwent at least three annual health check-ups at the Health Management Center of Sichuan Provincial People\'s Hospital from 2015 to 2022 were included in this retrospective cohort study. The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The latent class mixed model (LCMM) was used to identify the TyG index trajectory of the study population. A Cox proportional hazard model was used to estimate the CKD incidence risk in different quartile groups and the association of changes in the TyG index trajectory with the development of CKD.
UNASSIGNED: A total of 4,921 participants were included in this study, and they were divided into four groups according to the quartiles of the baseline TyG index: Q1 (5.43-6.66), Q2 (6.67-7.04), Q3 (7.05-7.43), and Q4 (7.43-9.97). There was no difference in the risk of CKD occurrence among the TyG groups. Three different TyG index trajectories were identified in this study: a high-level group, middle-level stable group and low-level stable group, respectively. The incidence rate of CKD in the high-level TyG index trajectory group was 2.399 times greater than that in the low-level stable trajectory group (HR=2.399, 95% CI 1.167-4.935).
UNASSIGNED: Individuals with long-term exposure to high TyG index levels had a significantly greater risk of CKD. Routine monitoring of the TyG index and its longitudinal trend will aid in the risk stratification of CKD in the general population and will be helpful for CKD prevention and targeted management.

[This corrects the article DOI: 10.3389/fendo.2024.1376166.].

OBJECTIVE: The purpose of this study was to screen for depressive symptoms in a large sample of Chinese population, and explore the effects of demographic and lifestyle factors on depressive symptoms based on the brain maturity.
METHODS: Adults from 8 health management centers in 6 provinces completed an online health self-report questionnaire. Finally, a total of 76,223 valid questionnaires were collected.
RESULTS: A total of 76,223 participants were included in this study, including 44,167 (57.9%) males and 32,056 (42.1%) females. The percentage of clinically relevant depressive symptoms among young, early mature and late mature participants was 13.5%, 18.5% and 27.3%, respectively. Among young participants, being female was a risk factor for depressive symptoms, while having a bachelor\'s or graduate degree, being married, smoking, and moderate alcohol consumption were protective factors. And among early mature participants, female, married and other marital status, BMI of 24-27.9 were risk factors, post-graduate education or above, smoking, moderate alcohol consumption and meeting exercise standard were protective factors. Among late mature participants, Compared with junior high school, all other degrees were protective factors, as was meeting physical activity standards, excessive alcohol consumption was a risk factor.
CONCLUSIONS: This study analyzed the association among young, early mature and late mature participants respectively, and proposed strategies for improving healthy lifestyle of Chinese people. Our findings support the need for individualized recommendations to improve mental health based on brain maturity.