OBJECTIVES: To propose a single repetition time (TR) quantitative magnetic susceptibility imaging method for the lumbar spine using bipolar readout gradient, and compare the quantitative magnetic susceptibility measurement using single TR and dual TR methods for the lumbar spine with different bone densities. METHODS: A translation correction method was proposed to correct spatial misalignment along the frequency encoding direction between positive and negative gradient readout images, and the phase difference between the images was eliminated using a phase correction method. The data of lumbar vertebrae L1-L5 were collected using single TR and dual TR methods from 6 normal individuals, 2 patients with osteopenia, and 2 patients with osteoporosis. The magnetic susceptibility map was reconstructed, the quantitative results of single TR before and after correction were compared with those of the dual TR method. RESULTS: The linear regression result of the lumbar spine magnetic susceptibility values obtained by the single TR method before calibration and the dual TR method is Y=0.64*X-11.61. The linear regression result of the lumbar spine magnetic susceptibility values corrected by the single TR method and the dual TR method is Y=1.03*X+0.25. The results of the corrected single TR method were highly consistent with those of the dual TR method, and the calibrated single TR method could effectively distinguish osteopenia and osteoporosis patients from normal individuals. CONCLUSIONS The calibrated single TR bipolar readout gradient method can generate artifact-free lumbar spine quantitative magnetic susceptibility distribution maps and reduce data acquisition time by 50%.
Humans ; Lumbar Vertebrae/pathology* ; Magnetic Resonance Imaging/methods* ; Female ; Middle Aged ; Male ; Osteoporosis/diagnosis* ; Adult ; Bone Density ; Aged ; Bone Diseases, Metabolic/diagnosis*

Objective:To investigate the role of HMGB1-TLR4-NF-κB signaling pathway in cerebral ischemia-reperfusion in-jury and the effect of adenosine preconditioning on the signaling pathway.Methods:Total 80 adult male Sprague-Dawley rats weighing 220～270 g were selected from the Animal Center of Xinxiang Medical University.The rats were randomly divided into F group(sham operation group),I/R group(ischemia reperfusion group)and AP group(adenosine preconditioning group).The MCAO model of rats was established by wire embolization.Quantitative analysis of neural function in successfully modeled rats using animal behavior scor-ing method,the morphological changes of brain cells were observed by HE staining,TTC staining was used to observe cerebral infarc-tion and cerebral infarction volume was calculated;Immunohistochemical staining was used to detect HMGB1,TLR4 and NF-κB pro-tein expression levels in brain tissues of each group.The data were statistically analyzed by one-way ANOVA in SPSS26.0 software.Results:After ischemia reperfusion,the neurological function of I/R group and AP group showed different degrees of impairment,and the neurological function scores of the two groups were significantly higher than that of F group,the difference was statistically signifi-cant(P<0.05),and the neurological function of the AP group was significantly less than that of I/R group,the difference was also sta-tistically significant(P<0.05).TTC staining showed that AP group,I/R group rat cerebral infarction volume was significantly more than F group[(93.670±4.509)mm3,(123.670±7.234)mm3 vs(0.000±0.000)mm3],and AP group rats infarction volume was signifi-cantly reduced than that in I/R group,the difference had statistical significance(P<0.05).Immunohistochemistry showed that HMGB1,TLR4,NF-κB protein in F group with a small amount of expressions in rats,while significantly expressed in AP group and I/R group relatively,and the AP group of each subgroup rat HMGB1,TLR4,NF-κB protein expressions significantly lower than the amount of I/R group,the difference had statistical significance(P<0.05).Conclusion:Adenosine preconditioning can reduce the expressions of HMGB1,TLR4 and NF-κB protein,and then protect the rats with cerebral ischemia-reperfusion injury.

Objective:To build a systematic and standardized nutrition management plan for patients with chronic kidney disease.Methods:Based on the nutrition care procedure and model, a preliminary draft of a nutrition management plan for chronic kidney disease patients was developed through a literature search, quality evaluation, and group discussions. After two rounds of expert consultation and revision of the preliminary draft of the nutrition management plan, the final plan was formed.Results:A total of 32 experts were invited to complete two rounds of consultation. In two rounds of expert consultation, 32 questionnaires were distributed, and 32 and 31 valid questionnaires were collected, with valid response rates of 100.0% and 96.9%, respectively. The expert authority coefficients were 0.853 and 0.871, respectively. The final nutrition management plan for chronic kidney disease patients included six first-level items of nutrition management personnel: nutrition risk screening, nutrition assessment, nutrition treatment, nutrition monitoring, and nutrition health education, with 23 second-level and 52 third-level items.Conclusions:The constructed nutrition management plan for chronic kidney disease patients is scientific and can provide a reference for nutrition guidance.

Objective To investigate the level of benefit finding and positive psychological capital of stroke patients and their spouses,and to analyse the dyadic interaction between benefit finding and positive psychological capital of patients and their spouses.Methods From March to August 2023,235 stroke patients and their spouses were conveniently selected from the neurology wards of 3 tertiary hospitals in Henan Province,and were surveyed using a general information questionnaire,the positive psychological capital questionnaire,revised version of benefit finding scale,and caregiver benefit finding scale.Results The positive psychological capital scores of stroke patients and their spouses were(4.29±0.75)and(4.56±0.71);benefit finding scores of the dyads were(2.85±0.69)and(3.64±0.68).The results of actor-partner interdependence model showed that positive psychological capital of stroke patients and their spouses positively predicted their benefit finding;positive psychological capital of patients positively predicted benefit finding of spouses,and positive psychological capital of spouses positively predicted benefit finding of patients(all P＜0.05).In particular,spousal self-efficacy and resilience positively predicted their benefit finding;their optimism positively predicted the patient's benefit finding;their hopefulness negatively predicted the patient's benefit finding(all P＜0.05).Conclusion There was a dyadic interaction between benefit finding and positive psychological capital for stroke patients and their spouses.The role of spouses on patients'positive psychological capital should not be overlooked,and nurses should develop positive psychological capital intervention strategies centered on couples of stroke patients to enhance positive couple experiences.

Objective To investigate the current status of health behavioral decision-making in ischemic stroke patients and analyze its influencing factors.Methods Totally 250 ischemic stroke patients were selected from 2 hospitals in Zhengzhou and Anyang from February to May 2023.A general information questionnaire,Behavioral Decision-Making Scale for Stroke Patients,Recurrence Risk Perception Scale for Patients with Stroke,and Stroke Self-Efficacy Questionnaire were used to conduct the questionnaire survey.Results The Behavioral Decision-Making Scale for Stroke Patients score of 229 ischemic stroke patients was(117.83±7.15)scores.The results of multiple linear regression analysis showed that occupational status,glycemic compliance,primary caregiver,current symptoms,stroke self-efficacy,and recurrence risk perception were the influencing factors of health behavioral decision making in ischemic stroke patients(P＜0.05).Conclusion The health behavioral decision making of ischemic stroke patients is at an upper-middle level.Individualized interventions can be carried out for patients with different characteristics to promote the patients'ability to behavior decision making and the formation of preventive behaviors.

Objective To explore the categories of dyadic mental health literacy among stroke patients and their caregivers,and to analyze the differences in the characteristics of different classes of stroke patients and their caregivers.Methods A convenient sampling method was used to select 287 dyads of stroke patients and their caregivers who were treated at a tertiary general hospital in Henan province from July to October 2020.The general information questionnaire,Multicomponent Mental Health Literacy and Social Support Rating Scale were used for investigation.Latent profile analysis was adopted to explore the categories of dyadic mental health literacy,and multiple logistic regression was used to analyze the influencing factors of each category.Results Stroke patients and their caregivers were divided into 4 categories based on scores of mental health literacy:dyadic low resource group(19.86％),dyadic low literacy group(54.36％),dyadic low belief group(11.15％),dyadic high literacy group(14.63％).The patient's age,average monthly household income,the caregiver's age,the caregiver's Social Support Rating Scale score,the caregiver's educational level,daily care time and total time length of care were the factors influencing the categories of dyadic mental health literacy among stroke patients and their caregivers(P＜0.05).Conclusion Stroke patients and their caregivers were divided into 4 categories based on scores of mental health literacy.Medical staff should carry out comprehensive psychological interventions for stroke patients and their caregivers with different dyadic mental health literacy characteristics,so as to improve dyadic mental health literacy.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

【Objective】 To explore the effects of perceived risk of COVID-19 of college students on their anxiety and depression, as well as the roles of attention to negative information and perceived social support, so as to provide theoretical basis for colleges and universities to formulate corresponding intervention measures. 【Methods】 By the convenience sampling method, totally 1 404 college students from Shaanxi and Henan provinces were investigated online by using General Information Questionnaire, Perceived Risk of COVID-19 Pandemic Scale, Attention to Negative Information Scale, Patient Health Questionnaire, Generalized Anxiety Disorder and Perceived Social Support Scale. SPSS 20.0 was used for data analysis, Pearson correlation method was used to explore the correlation between variables. The mediating effect of attention to negative information and the moderating effect of perceived social support were analyzed by PROCESS. 【Results】 The scores of anxiety and depression of the 1 404 college students included in the study were 4.03±4.48 and 6.21±5.41, respectively. The detection rate of anxiety symptom was 29.9%, and that of depression symptom was 44.4%. The risk perception of COVID-19 epidemic of the college students was positively correlated with attention to negative information (r=0.373, P<0.001), anxiety (r=0.227, P<0.001), and depression (r=0.226, P<0.001). Anxiety (r=0.553, P<0.001) and depression (r=0.497, P<0.001) were positively correlated with attention to negative information, while perceived social support was negatively correlated with the risk perception of the COVID-19 (r=-0.154, P<0.001), attention to negative information (r=-0.259, P<0.001), anxiety (r=-0.321, P<0.001) and depression (r=-0.278, P<0.001). The risk perception of COVID-19 affected the anxiety and depression of the students mainly through the mediating effect of attention to negative information. The total effect of risk perception of COVID-19 and anxiety was 0.227, and the mediating effect accounted for 80.18% of the total effect. The total effect of risk perception of COVID-19 and depression was 0.228, and the mediating effect accounted for 90.35% of the total effect. Perceived social support played a moderating role in the last half of this mediating model. 【Conclusion】 Risk perception of COVID-19 indirectly affects the occurrence of anxiety and depression in college students through attention to negative information, and perceived social support plays a moderating role in this mediating model. The findings suggest that when a risk event occurs, colleges and universities should pay attention to guiding students to adjust their attentional bias to external information, and give students enough care and support to improve their mental health.