Objective:To identify the development trajectories of self-neglect behavior in older adults and explore the associated influencing factors.Methods:A fixed cohort was constructed based on the data from three surveys of Chinese longitudinal healthy longevity survey (CLHLS) from 2011 to 2018. A total of eight variables from 4 dimensions including living environment, lifestyle, social interaction, and health care were selected to evaluate self-neglect. Group-based trajectory model was used to identify the development trajectory of self-neglect behavior in the older adults, and polynomial Logistic regression model was used to explore its influencing factors by Stata 16.1.Results:Finally, 2 754 older adults aged 60 and above were included.The development trajectory of self-neglect behavior in older adults, based on the group-based trajectory model, can be classified into stable-low group ( n=268, 9.7%), descending-moderate group ( n=2 224, 80.8%), and decreasing-high group ( n=262, 9.5%). Polynomial Logistic regression showed that, compared with stable-low group, living in rural areas ( B=1.116, OR=3.053, 95% CI= 2.278-4.091) and higher activities of daily living scores( B=0.137, OR=1.147, 95% CI=1.046-1.258) were the risk factors of descending-moderate group. Education levels with 1-6 years( B=-0.398, OR=0.672, 95% CI=0.469-0.963), >6 years( B=-1.072, OR=0.342, 95% CI=0.229-0.513), being married( B=-0.476, OR=0.621, 95% CI=0.444-0.870), self-reported good health( B=-0.808, OR=0.446, 95% CI= 0.213-0.932), improved health status( B=-0.704, OR=0.495, 95% CI=0.320-0.766), self-reported average economic status( B=-1.065, OR=0.345, 95% CI=0.148-0.802), self-reported good economic status( B=-1.634, OR=0.195, 95% CI=0.082-0.467), and a higher cognition score( B=-0.142, OR=0.867, 95% CI=0.798-0.942) served as protective factors of descending-moderate group. In addition to the above factors, being in the age group of 75-89 years( B=0.481, OR=1.617, 95% CI=1.057-2.473) was a risk factor for decreasing-high group compared to stable-low group. Conclusions:Three types of self-neglect behavior trajectories among older adults were identified in this study, suggesting that physical health and economy are the influencing factors of the development trajectory of self-neglect of the elderly.

Objective To explore the prescription rules of traditional Chinese medicine (TCM) in the treatment of diabetes periodontitis(DP) and the acting mechanisms of core drug combination. Methods Based on the relevant literature retrieved from the CNKI,Wanfang,VIP and Sinomed,a DP prescription database was established. Excel 2021,SPSS Modeler 18.0 and SPSS Statistics 26.0 were used to conduct the statistics of the frequency,efficacy classifications,properties,flavors,and meridian tropism of the included drugs. Association rule analysis and cluster analysis were performed to screen out the core drug combinations. The active components and action targets of core drug combinations were obtained through TCMSP and HERB. The DP related disease targets were predicted using GeneCards. The Venny platform was used to obtain the intersection of disease targets and drug targets. Key components were screened by Cytoscape to establish an "active component-target" network. Based on STRING platform data,PPI network was constructed by Cytoscape to screen core targets. GO functional annotation and KEGG signaling pathway enrichment analysis were carried out for the intersection targets by DAVID. AutoDockVina was applied for molecular docking between core targets and key components. Results A total of 36 articles were included,and 50 prescriptions involving 100 Chinese herbal medicines were extracted. Alismatis Rhizoma,Rehmanniae Radix Praeparata and Astragali Radix were the most common drugs. The most used drug category was deficiency-nourishing drugs. The properties of the herbs were mainly cold and warm,the major flavors were sweet and bitter,and the main meridian tropisms were kidney and liver. Six categories were classified by clustering analysis. Moutan Cortes-Corni Fructus-Rehmanniae Radix Praeparata was screened out as the core drug combination involving 18 active components,164 drug action targets and 104 intersection of DP targets and drug combination targets. Quercetin,stigmasterol,kaempferol,β-sitosterol,tetrahydroalstonine,and sitosterol were the key components,and AKT1,IL-6,TNF,IL-1B,PTGS2,JUN,TP53,ESR1,and MMP9 were the core targets. GO analysis revealed 3724 biological processes,228 cellular components and 404 molecular functions. KEGG analysis showed that DP was treated by the core drug combination through regulating 235 signaling pathways. Molecular docking results showed that there was a good affinity between the core target and the key component. Conclusion Tonifying deficiency is the main treatment methods of TCM for DP,accompanied by clearing heat and removing dampness,activating blood circulation and removing blood stasis,replenishing qi and nourishing yin. Core drug combination (Moutan Cortes-Corni Fructus-Rehmanniae Radix Praeparata) treats DP through multi-component,multi-target and multi-pathway,which provide a reference for clinical diagnosis and treatment.