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Objective@# To explore the trajectory of the development of permanent caries in 12- to 16-year-old students in Liuyang and to provide a reference for the prevention and management of caries.@*Methods@#Primary and secondary school students who were registered within the Liuyang jurisdiction were screened for caries from September to November by the Liuyang Center for Disease Control and Prevention. A total of 7 297 students between the ages of 12 and 16 years with complete permanent dentition caries monitoring records and traceable deciduous dentition caries monitoring records were selected from 2013 to 2019, and a zero-inflated negative binomial-latent class growth model (ZINB-LCGM) was established to describe the trajectory of the development of individual caries using the decayed missing filled teeth (DMFT) indicators. @*Results@# DMFT of 12- to 16-year-old students in Liuyang were mainly decayed teeth (DT), with the majority occurring in the first permanent molar. According to the ZINB-LCGM model, the students were classified into three latent categories, "slow growth pattern" (28.55%), "rapid growth pattern" (6.59%), and "stable pattern" (64.86%), which followed different nonlinear caries growth trajectories. Females with deciduous teeth caries were more likely to have trajectories showing a “rapid growth pattern” and a “slow growth pattern”. There were significant differences in the trajectories between men and women, as well as between those with and without primary dentition caries. @*Conclusion @# The trajectory of the development of caries in 12-16-year-old students shows heterogeneity in terms of different developmental patterns of latent categories, suggesting that females with deciduous dental caries should receive more attention.
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Objective:To explore the changing track of cancer-related fatigue in patients with lung cancer during perioperative period and analyze its influencing factors.Methods:From December 2020 to May 2021, 162 eligible patients with lung cancer were selected in the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital by convenient sampling method. Mental resilience and social support were investigated before operation (T0);and cancer-related fatigue was investigated before operation (T0),3 days after operation (T1), 1 week after operation (T2), 2 weeks after operation (T3) and 1 month after operation (T4), and Latent Class Growth Model was used to identify the track categories. Logistic regression analysis was used to analyze the influencing factors.Results:Three cancer-related fatigue tracks were fitted in this study, which were no fatigue group (31.7%), increased fatigue group (36.0%) and sustained fatigue group (32.3%). Univariate analysis showed that smoking history ( χ2=14.83, P<0.05), BMI ( χ2=29.67, P<0.05), hemoglobin count ( F=4.57, P<0.05), mental resilience ( F=35.53, P<0.05), social support ( F=47.53, P<0.05) were related to the track category of cancer-related fatigue. Logistic regression analysis showed that smoking history, over weight/obesity, resilience and social support were the predictors of cancer-related fatigue locus ( P<0.05). Conclusions:Perioperative cancer-related fatigue of patients with lung cancer has different change trajectories, patients with higher BMI and lower resilience are more likely to have a tendency of persistent fatigue. Patients with smoking history and lower social support are more likely to have an upward trend of fatigue. For this kind of lung cancer patients, medical staff should take timely and effective intervention measures to improve their cancer-related fatigue.
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This article introduced the application of trajectory model in epidemiological study on fat development in sixty teenagers.Results showed that fat developing trend on three trajectories-normal fat group,high fat group and very high fat group,with independently different developing trend.Trajectory model seemed a suitable model for fitting the longitudinal data with heterogeneity.