Objective:To investigate the association between social support and subjective and objective cognitive functions among the middle-aged and elderly population in Pingyin County, Jinan City, Shandong Province.Methods:Employing a multi-stage cluster random sampling method, a cross-sectional study was conducted in 2023 by selecting people aged 45-70 years from seven villages in three towns within Pingyin County, Jinan City, as survey respondents. Social Support Rating Scale (SSRS), Subjective Cognitive Decline-Questionnaire 9 (SCD-Q9) and Montreal Cognitive Assessment-Basic (MoCA-B) were used to assess the social support and cognitive status of interviewees, and a self-developed questionnaire was used to collect other basic information. Pearson correlation analysis, multiple linear regression and multifactorial logistic regression were used to explore the relationship between social support and subjective and objective cognitive functions.Results:A total of 1 891 subjects were finally included in the study, with 45.52±6.99 for the SSRS total score, an abnormal rate of 43.68% (826/1 891) for the SCD-Q9 score and an abnormal rate of 60.02% (1 135/1 891) for the MoCA-B score. The SSRS total score, subjective support score, objective support score and support utilization score were negatively correlated with SCD-Q9 scores and positively correlated with MoCA-B scores (all P<0.05). An increase in SSRS total score ( β=-0.034, 95% CI: -0.051--0.017, P<0.001) and objective support score ( β=-0.074, 95% CI: -0.121--0.027, P=0.002) can lower SCD-Q9 scores. Compared to those who had only 1 source of financial support or help with practical problems when experiencing an acute situation, those with 2-4 ( OR=0.53, 95% CI: 0.34-0.82), 5 ( OR=0.46, 95% CI: 0.27-0.79), or 6-7 ( OR=0.42, 95% CI: 0.22-0.81) sources of help were more likely to have normal SCD-Q9 scores. Compared to individuals with ≤2 close friends who provided support and help, those with 3-5 ( OR=0.67, 95% CI: 0.50-0.91) or ≥6 friends ( OR=0.72, 95% CI: 0.54-0.97) were more likely to have normal MoCA-B scores. Moreover, compared to individuals who never participated in group activities, those who actively participated ( OR=0.59, 95% CI: 0.42-0.81) were more likely to have normal MoCA-B scores. Conclusions:Social support has protective effects on subjective and objective cognitive functions, and various social support conditions have different protective effects on subjective and objective cognitive functions among middle-aged and older people. Improving social support conditions for middle-aged and elderly individuals may delay the process of cognitive decline.

Objective:To investigate the association between social support and subjective and objective cognitive functions among the middle-aged and elderly population in Pingyin County, Jinan City, Shandong Province.Methods:Employing a multi-stage cluster random sampling method, a cross-sectional study was conducted in 2023 by selecting people aged 45-70 years from seven villages in three towns within Pingyin County, Jinan City, as survey respondents. Social Support Rating Scale (SSRS), Subjective Cognitive Decline-Questionnaire 9 (SCD-Q9) and Montreal Cognitive Assessment-Basic (MoCA-B) were used to assess the social support and cognitive status of interviewees, and a self-developed questionnaire was used to collect other basic information. Pearson correlation analysis, multiple linear regression and multifactorial logistic regression were used to explore the relationship between social support and subjective and objective cognitive functions.Results:A total of 1 891 subjects were finally included in the study, with 45.52±6.99 for the SSRS total score, an abnormal rate of 43.68% (826/1 891) for the SCD-Q9 score and an abnormal rate of 60.02% (1 135/1 891) for the MoCA-B score. The SSRS total score, subjective support score, objective support score and support utilization score were negatively correlated with SCD-Q9 scores and positively correlated with MoCA-B scores (all P<0.05). An increase in SSRS total score ( β=-0.034, 95% CI: -0.051--0.017, P<0.001) and objective support score ( β=-0.074, 95% CI: -0.121--0.027, P=0.002) can lower SCD-Q9 scores. Compared to those who had only 1 source of financial support or help with practical problems when experiencing an acute situation, those with 2-4 ( OR=0.53, 95% CI: 0.34-0.82), 5 ( OR=0.46, 95% CI: 0.27-0.79), or 6-7 ( OR=0.42, 95% CI: 0.22-0.81) sources of help were more likely to have normal SCD-Q9 scores. Compared to individuals with ≤2 close friends who provided support and help, those with 3-5 ( OR=0.67, 95% CI: 0.50-0.91) or ≥6 friends ( OR=0.72, 95% CI: 0.54-0.97) were more likely to have normal MoCA-B scores. Moreover, compared to individuals who never participated in group activities, those who actively participated ( OR=0.59, 95% CI: 0.42-0.81) were more likely to have normal MoCA-B scores. Conclusions:Social support has protective effects on subjective and objective cognitive functions, and various social support conditions have different protective effects on subjective and objective cognitive functions among middle-aged and older people. Improving social support conditions for middle-aged and elderly individuals may delay the process of cognitive decline.

Since the application of image-guided radiotherapy in clinical practice, cone-beam CT (CBCT) has become the most widely employed image-guided device. However, some problems remain to be cautioned in the application of CBCT, such as certain errors in the setup errors before and after the correction of CBCT, the failure of CBCT to correct dynamic changes, whether the influence of application frequency of CBCT on patients’ boundary of clinical target volume can be reduced, imaging conditions of CBCT lack of a certain degree of flexibility, and the effect of clinical value and application cost on the practicality of CBCT. Only by fully understanding the problems in CBCT application can CBCT be applied more reasonably and scientifically.

Objective To study an accurate prediction algorithm for irregular respiratory movements,effectively compensate for the time delay of radiotherapy systems,so as to improve the target accuracy of imageguided tracking or gated radiotherapy for thoracic and abdominal tumors.Methods A prediction algorithm based on an adaptive neuro-fuzzy inference system (ANFIS) was proposed to precisely predict irregular respiratory motion.The ANFIS model structure adopted the position and velocity of respiratory motion as input parameters to construct an N×N fuzzy set that combines position and velocity,and to establish a training set through historical data.In the prediction,if the position or velocity in the latest input signal was out of the range of the training set,the position or velocity would be adjusted accordingly and treated as the input parameter of the ANFIS model for prediction.The ANFIS was evaluated using 20 cases of irregular respiratory clinical data from CyberKnife-treated thoracic and abdominal tumors patients.The accuracy of the four typical prediction algorithms,including ANFIS,neural network (NN),support vector machine (SVM),and CyberKnife Synchrony,was compared by retrospective offline analysis.Results The ANFIS algorithm showed better performance than NN,SVM and Synchrony in normalized root mean square error (nRMSE),the maximum error (Max),and the number of errors greater than 1 mm.Conclusions The accuracy and robustness of the ANFIS algorithm are superior to NN,SVM and CyberKnife Synchrony.The ANFIS can better predict irregular respiratory signals.