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.].

The association between the vaginal microbiome and polycystic ovary syndrome (PCOS) is reported, but the longitudinal changes in the vaginal microbiome that accompany oral contraceptive therapy have not been described.
This cohort study included 50 PCOS patients who wanted to make their menstrual periods more regular and accepted only oral contraceptive therapy and lifestyle coaching, then they were successfully followed up for 6 months. Venous blood was collected, and follicle-stimulating hormone (FSH), luteinizing hormone (LH), total testosterone (T), anti-Müllerian hormone (AMH), and estradiol (E2) were assayed at baseline and at months 3 and 6. Vaginal swabs were collected at baseline and at months 3 and 6. 16S rRNA genes were sequenced to identify the microbiota structure. Latent class trajectory models were used to explore the trajectory of the changes in Lactobacillus abundance.
At 3 months, all patients reported regular periods, and the improvement lasted until 6 months. The body mass index and waist-to-hip ratio decreased with treatment (P < 0.01), and the AMH and T levels showed downward trends. We did not find a statistically significant relationship between hormone levels at the previous time point and the vaginal microbiota at subsequent time points (P > 0.05). The relative abundance of Lactobacillus increased with treatment, and trajectory analysis revealed five classes of Lactobacillus changes. Class 1, stable high level, accounted for 26%; class 2, decrease followed by increase, accounted for 18%; class 3, stable low level, accounted for 10%; class 4, increase, accounted for 20%; class 5, increase followed by decrease, accounted for 26%. Logistic models showed that compared to class 1, a higher baseline T level was associated with a reduced risk of class 2 change (odds ratio (OR) = 0.03, 95% confidence interval (CI):0.01-0.52) and class 4 change (OR = 0.10, 95% CI:0.01-0.93).
The abundance of Lactobacilli increased with PCOS treatment; however, the trajectory was inconsistent for each individual. Evidence of the effects of female hormone levels on the vaginal microbiome is insufficient.

OBJECTIVE: To investigate the trajectory, influencing factors and dynamic relationships between fear of cancer recurrence (FCR) and quality of life (QOL) in lung cancer patients.
METHODS: Prospective longitudinal study.
METHODS: Longitudinal data from 310 lung cancer patients across three hospitals in China were assessed at 1, 3, 6 and 12 months postoperatively (T1 -T4 ). Descriptive statistics characterised patient demographics, clinical characteristics, levels of FCR and QOL. A linear mixed-effects model was employed to analyse FCR trajectories, identify influencing factors on these trajectories, and predict the impact of FCR on QOL.
RESULTS: FCR changed significantly over time, with a slight decrease during T1 -T2 , an increase at T3 and gradual decline at T4 . Higher fear levels were associated with female sex, suburban or rural residency, being a family breadwinner, presence of comorbidities and negative coping behaviours, and low family resilience. QOL negatively correlated with FCR, and FCR predicted lower QOL.
CONCLUSIONS: At 3 and 6 months postoperatively, lung cancer patients, especially women, suburban or rural residents, family breadwinners, those with comorbidities, negative coping behaviours and low family resilience, reported high levels of FCR. Healthcare providers should pay special attention to lung cancer patients especially during the period of 3-6 months post-surgery and offer tailored interventions to improve their QOL.
UNASSIGNED: Understanding the FCR trajectories, its influencing factors and its negative impacts on QOL can guide the development of targeted interventions to reduce fear and enhance well-being in patients with cancer.
CONCLUSIONS: Identifying the trajectories and influencing factors of fear of lung cancer recurrence in patients at different time points informs future research on targeted interventions to improve QOL.
UNASSIGNED: The study adhered to the guidelines outlined in the Statement on Reporting Observational Longitudinal Research.

The expansion of construction land due to urbanization is the most rapid land use change in contemporary human history and has always occupied high-quality cropland, posing a severe threat to cropland and food security, it\'s essential to clarify the impact of urbanization on cropland and food security. This study proposed a research framework based on the regulating role of human activities, used quantifiable complex network analysis to uncover the vital role of urbanization in the evolution of land systems, and combined trajectory analysis of crop yield change to explore the impact of different urbanization modes (urban, town, and township mode) on food security through a continuous observation on 4259 township-level administrative regions of the Loess Plateau from 1990 to 2020. The findings proved that urbanization occupied the greatest land use area of cropland, and the town mode occupied 58.62 % of all urbanization modes encroaching on cropland, which has become a new pattern for advancing the urbanization development in the Loess Plateau. Construction land is more likely to be transferred in than out in the land use transfer network, while other land use types converted to construction land will be difficult to reverse. The Chinese government has implemented pragmatic policies, improved agricultural production techniques, and promoted agricultural intensification, resulting in a considerable increase in crop productivity and crop yield and the achievement of basic crop yield self-sufficiency of the Loess Plateau, so urbanization would not endanger food security. This study not only provides a more systematic research framework for related studies but also provides a theoretical basis for securing food security in other rapidly urbanizing regions of the world.

BACKGROUND: The association of ratio of triglycerides to high-density lipoprotein cholesterol (TG/HDL-C ratio) change trajectory with risk of type 2 diabetes mellitus (T2DM) remains unknown. The aim of this study was to evaluate the association between risk of T2DM and TG/HDL-C ratio change trajectory.
METHODS: A total of 18 444 participants aged 18-80 years old were included in this cohort study. Linear regression and quadratic regression models were used to determine the TG/HDL-C ratio change trajectory. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between TG/HDL-C ratio change trajectory and probability of T2DM.
RESULTS: T2DM developed in 714 participants during a median follow-up of 5.74 years (92 076.23 person-years of follow-up). After adjusting for baseline potential confounders, odds of T2DM were greater for participants with the increasing, U-shape, bell-shape, and other shape change vs decreasing change (adjusted OR [aOR] 2.01, 95% CI 1.42-2.81; 1.56, 1.15-2.13; 1.60, 1.17-2.20; and 1.49, 1.13-2.00, respectively). The results were robust in the sensitivity analyses on excluding baseline participants with T2DM. Moreover, the associations remained significant with male sex, age <60 years and body mass index <24 kg/m2 .
CONCLUSIONS: This retrospective study revealed increased probability of T2DM with increasing, U-shape, bell-shape, and other-shape TG/HDL-C ratio change trajectories, especially with male sex, age <60 years and body mass index <24 kg/m2 .

Although mental health disorders in older adults are common, their relationship with chronic disease and the influence of chronic disease on the development of mental health disorders over time is not well understood. This longitudinal study investigated the change in status of mental health disorders and chronic disease, as well as their interrelationships, over time.
Participants included community-dwelling older adults living in Taiwan, aged 65 years or older, who completed six waves of survey interviews. Mental health disorders were scored using the Short Psychiatric Evaluation Schedule, and chronic disease(s) status was recorded during consecutive biennial data collection waves. The autoregressive latent trajectory model and parallel latent growth curve model were used for data analysis.
The study findings suggest that in older people pre-existing mental health disorders and/or chronic disease(s) will predispose them to developing significantly more mental health disorders and/or chronic diseases respectively. The study findings also suggest that pre-existing mental health disorders can significantly contribute to the development of chronic disease over time, and that pre-existing chronic disease(s) significantly can contribute to the development of mental health disorders over time, indicating a reciprocal interrelationship.
Our study findings suggest that it in addition to monitoring and treating chronic disease(s) in older people, it is also important to monitor and treat their mental health disorders. Doing so will result in overall better health outcomes and will facilitate a better quality of life as they age. Copyright © 2016 John Wiley & Sons, Ltd.