Objective To investigate the impact of intergenerational caregiving on the brain structure and function of grandparents,and to analyze its correlation with caregiving factors.Methods Healthy adults(66 with grandchildren,24 without grandchildren)were recruited as study subjects,and clinical and MRI data were collected.Resting-state brain functional degree centrality(DC)and surface-based morphometry(SBM)methods were used to compare the differences in brain structure and function between the groups with and without grandchildren.The correlation between the differences in brain regions and △ values with grandchild's age,number,and time spent in childcare were assessed,respectively.Results Compared to the group without grandchildren,the group with grandchildren showed reduced surface area and cortical volume in the left middle temporal gyrus,as well as decreased DC values in the left medial superior frontal gyrus,bilateral orbital superior frontal gyrus,and left anterior cingulate and paracingulate gyrus(P＜0.05),respectively.In the grandchildren group,DC values and △ values in the left orbital superior frontal gyrus,left anterior cingulate and paracingulate gyrus were significantly positively correlated with time spent in childcare.Conclusion The brain structures and functions of grandparents related to empathy and motivation are changed in intergenerational caregiving,which may reveal the neuroplasticity after caring for their grandchildren.

Objective:To identify latent profile types of self-acceptance among newly diagnosed young and middle-aged patients with type 2 diabetes mellitus (T2DM), and to analyze the influencing factors.Methods:A convenience sampling method was used to recruit 162 patients with T2DM who visited the Department of Endocrinology at the First Affiliated Hospital of Zhengzhou University between March 2023 and August 2024. A general information questionnaire was used to collect demographic and clinical data. The Acceptance and Action Diabetes Questionnaire (AADQ), Type 2 Diabetes Stigma Assessment Scale (DSAS-2), Diabetes Knowledge Test 2 (DKT2), and e-Health Literacy Scale (eHEALS) were used to assess self-acceptance, diabetes-related stigma, diabetes knowledge, and electronic health literacy, respectively. Latent profile analysis (LPA) was performed to identify categories of self-acceptance based on AADQ scores. Logistic regression analysis was conducted to examine the influencing factors of self-acceptance profiles in young and middle-aged patients with T2DM. A total of 162 questionnaires were distributed, and 157 valid responses were collected, with an effective response rate of 96.91% (157/162) .Results:The mean AADQ score of the 157 patients was (46.64±10.34), ranging from 20 to 63, with a mean item score of (4.24±1.16). Three latent profile categories of self-acceptance were identified: the "high avoidance-low self-acceptance group" (28.66%, 45/157), the "moderate self-acceptance group" (47.13%, 74/157), and the "low avoidance-high self-acceptance group" (24.20%, 38/157). Logistic regression analysis showed that age, body mass index (BMI), diabetes-related stigma, diabetes knowledge, and electronic health literacy were significant influencing factors of self-acceptance profiles in young and middle-aged patients with T2DM ( P<0.05) . Conclusions:The level of self-acceptance in newly diagnosed young and middle-aged patients with type 2 diabetes mellitus remains suboptimal. Particular attention should be paid to patients who are younger, have a BMI below 24.0 kg/m 2, experience high levels of diabetes-related stigma, and have low levels of diabetes knowledge and electronic health literacy. Targeted education and management should be implemented based on patient characteristics.

Objective To investigate the impact of intergenerational caregiving on the brain structure and function of grandparents,and to analyze its correlation with caregiving factors.Methods Healthy adults(66 with grandchildren,24 without grandchildren)were recruited as study subjects,and clinical and MRI data were collected.Resting-state brain functional degree centrality(DC)and surface-based morphometry(SBM)methods were used to compare the differences in brain structure and function between the groups with and without grandchildren.The correlation between the differences in brain regions and △ values with grandchild's age,number,and time spent in childcare were assessed,respectively.Results Compared to the group without grandchildren,the group with grandchildren showed reduced surface area and cortical volume in the left middle temporal gyrus,as well as decreased DC values in the left medial superior frontal gyrus,bilateral orbital superior frontal gyrus,and left anterior cingulate and paracingulate gyrus(P＜0.05),respectively.In the grandchildren group,DC values and △ values in the left orbital superior frontal gyrus,left anterior cingulate and paracingulate gyrus were significantly positively correlated with time spent in childcare.Conclusion The brain structures and functions of grandparents related to empathy and motivation are changed in intergenerational caregiving,which may reveal the neuroplasticity after caring for their grandchildren.

Objective:To identify latent profile types of self-acceptance among newly diagnosed young and middle-aged patients with type 2 diabetes mellitus (T2DM), and to analyze the influencing factors.Methods:A convenience sampling method was used to recruit 162 patients with T2DM who visited the Department of Endocrinology at the First Affiliated Hospital of Zhengzhou University between March 2023 and August 2024. A general information questionnaire was used to collect demographic and clinical data. The Acceptance and Action Diabetes Questionnaire (AADQ), Type 2 Diabetes Stigma Assessment Scale (DSAS-2), Diabetes Knowledge Test 2 (DKT2), and e-Health Literacy Scale (eHEALS) were used to assess self-acceptance, diabetes-related stigma, diabetes knowledge, and electronic health literacy, respectively. Latent profile analysis (LPA) was performed to identify categories of self-acceptance based on AADQ scores. Logistic regression analysis was conducted to examine the influencing factors of self-acceptance profiles in young and middle-aged patients with T2DM. A total of 162 questionnaires were distributed, and 157 valid responses were collected, with an effective response rate of 96.91% (157/162) .Results:The mean AADQ score of the 157 patients was (46.64±10.34), ranging from 20 to 63, with a mean item score of (4.24±1.16). Three latent profile categories of self-acceptance were identified: the "high avoidance-low self-acceptance group" (28.66%, 45/157), the "moderate self-acceptance group" (47.13%, 74/157), and the "low avoidance-high self-acceptance group" (24.20%, 38/157). Logistic regression analysis showed that age, body mass index (BMI), diabetes-related stigma, diabetes knowledge, and electronic health literacy were significant influencing factors of self-acceptance profiles in young and middle-aged patients with T2DM ( P<0.05) . Conclusions:The level of self-acceptance in newly diagnosed young and middle-aged patients with type 2 diabetes mellitus remains suboptimal. Particular attention should be paid to patients who are younger, have a BMI below 24.0 kg/m 2, experience high levels of diabetes-related stigma, and have low levels of diabetes knowledge and electronic health literacy. Targeted education and management should be implemented based on patient characteristics.

Objective:To explore the application of 3D printing mirror models and segmentation models in preoperative planning for patellar fractures.Methods:Retrospectively analyzed were the data of 46 patellar fractures which had been treated at Department of Orthopedics, Liyang City People's Hospital from January 2016 to August 2020 using 3D printing mirror models and segmentation models in preoperative planning. There were 26 males and 20 females, aged from 19 to 79 years (average, 51.5 years). All the fractures belonged to AO type C. According to the design requirements of a solid model, the patients with DICOM CT data of bilateral lower extremities were assigned into the mirror model group (24 cases) while those with DICOM CT data of only a unilateral lower extremity into the segmentation model group (22 cases). In the mirror model group, CT scans of bilateral knee joints and the proximal tibia exceeding 15 cm were required, while in the segmentation model group, CT scans of only the affected knee joint were required. The original DICOM data were extracted and imported into software Mimics 19.0. In the mirror model group, after the "three-level long-short axis control" method was used to judge the symmetry, the original fracture model and the mirror model were created and printed respectively. During the operation, the fracture line drawn by the mirror model was used to find the fracture fragments with a similar shape which were to be assembled and fixated. The fracture fragments in the segmentation model group were divided into independent entities, converted into STL files and printed separately before the bone fragments were assembled and fixated in sequence. X-ray films were taken after operation. Recorded were the simulated operation time, visual analog scale (VAS) of the knee joint at one month after operation, and B?stman scores at one and 6 months after operation.Results:All patients were followed up for 6 to 24 months (mean, 13.6 months). In preoperative planning, only the mirror model was suitable for patients with comminuted fracture with compression and impaction, both models were suitable for fractures without impaction, compression or impaction, and the segmentation model was suitable for patients with bilateral fractures at the same site, poliomyelitis, one limb missing, and previous fracture. In the mirror model group in which the patients were controlled bilaterally using the "three-level long-short axis control" method, there was no significant difference among the 6 sets of data at 3 levels on both sides ( P>0.05). For the segmentation model group and the mirror model group, the time for preoperative simulated operation averaged 11.2 min and 9.2 min respectively, the VAS score at one month after operation was both lower than 3 points, and the B?stman scores at one and 6 months after operation were both larger than 20 points. Conclusions:The mirror image model of the unaffected patella can be used as the fracture recovery model for the affected side, but the symmetry needs to be verified in advance in case of severe degeneration. Both the 3D printed mirror model and the 3D segmentation model are suitable for preoperative planning for patellar fractures as they are complementary. Patients in both groups can obtain good joint function after treatment.

Objective:To investigate the epidemic status and molecular characteristics of Borrelia burgdorferi in ticks in Xinjiang Uygur Autonomous Region (referred to as Xinjiang). Methods:From April to June 2020, 312 samples of Ixodes were collected in 6 areas of Yili, Alashankou, Hutubi, Qinghe, Fuhai and Wujiaqu, Xinjiang. Nested PCR and fluorescence quantitative PCR were used to detect Borrelia burgdorferi in ticks. The positive samples by both methods were genotyped and identified by nested PCR products. Results:The positive rates of nested PCR and fluorescence quantitative PCR were 8.97% (28/312) and 11.86% (37/312), respectively. Among them, the fluorescence quantitative PCR positive rate of Qinghe was the highest of 35.29% (12/34), and the positive rate of Fuhai was the lowest of 2.00% (1/50). The positive samples by both methods was 26. Genotyping results showed that 12 samples were highly homologous to Borrelia garinii, 10 copies to Borrelia burgdorferi sensu stricto, and 4 copies to Borrelia afzelii. Conclusions:The positive rate of Borrelia burgdorferi in ticks in Xinjiang is higher, which has confirmed that there are 3 pathogenic Borrelia burgdorferi genotypes in Xinjiang. The dominant genotype is Borrelia garinii, followed by Borrelia burgdorgferi sensu stricto genotype and Borrelia afzelii genotype.

ObjectiveTo evaluate the diagnostic value of multi-slice CT (MSCT) and multi-dimensional reconstructions for congenital pulmonary stenosis (PS) in children.MethodsThe enhanced thin CT images of 33 patients with PS were retrospectively analyzed,the data was transmitted to the workstation for multi-planar reformation ( MPR),volume rendering technique (VRT) and maximum intensity projection (MIP).The CT imaging features of PS were analyzed combining with operation resul ts and Ultrasonic Cardiogram (UCG).ResultsIn 33 cases of PS,there were 17 cases with pulmonary valve stenosis (PVS),10 cases with right ventricular infundibulum stenosis (RVIS),and 6 cases with pulmonary trunk stenosis (PTS).The first two were correctly diagnosed by UCG,5 cases of PVS and Icases of RVIS were correctly diagnosed by MSCTA,the later was correctly diagnosed by UCG and MSCTA.In 14 cases with collateral circulations between aorta and pulmonary artery ( APC ),all were correctly diagnosed by MSCTA,only 3 case was diagnosed by UCG,1 case was misdiagnosed as PDA.UCG can clearly demonstrate the others intra-cardiac deformities,such as ASD,VSD,RVH,PFO,SV,DORV,TECD and TBD,the accuracy rate of MSCTA was 39.4％,and MSCTA can clearly demonstrate the origin,course and diameter of extracardiac vascular abnormalities,such as PDA,RAA,TGA,TAPVD,CoA,PLSV and VLSA,the accuracy rate of UCG was 697％.ConclusionsMSCT and multi-dimensional reconstruction were a kind of non-invasive method,it was a good approach for extra-cardiac vascular malformations and APC in PS.Combining with UCG,it can further be used to improve the diagnostic accuracy of intra-cardiac malformation and supply diagnostic evidence for clinical treatment.