Objective:To investigate the effect and the neural mechanisms of Apelin-13 on the behavior changes of posttraumatic stress disorder (PTSD) model mice.Methods:Totally 32 SPF grade male C57BL/6J mice aged 6 weeks were divided into 4 groups randomly ( n=8 in each group): control group, model group, normal saline group and Apelin-13 group.The mice model of PTSD was established by single-prolonged stress (SPS) method. The mice in normal saline group and Apelin-13 group were respectively given lateral ventricular microinjection of 0.9% sodium chloride solution (2 μL) and Apelin-13 (1.5 μg/μL, 2 μL)after PTSD modeling. The behaviors of mice were evaluated by open field test, elevated plus maze test and Morris water maze test.The morphological structure and numerical changes of hippocampal neurons were observed by hematoxylin and eosin (HE) staining.The expression of phosphoinositide 3-kinase(PI3K), phosphorylated-PI3K(p-PI3K), protein kinase B(Akt), phosphorylated-Akt (p-Akt), forkhead box O3a (FoxO3a), phosphorylated-FoxO3a(p-FoxO3a), autophagy-related proteins including microtubule-associated protein 1 light chain 3(LC3) and sequestosome 1(p62) were detected by Western blot. SPSS 26.0 software was used for data analysis.The escape latency data of repeated learning training in Morris water maze was conducted by repetitive measurement ANOVA.The comparison of other data among multiple groups was conducted by one-way ANOVA and further pairwise comparisons were conducted by LSD test and Tamhane test. Result:(1) Open field test results showed statistically significant differences in the central area activity distance and residence time in central area among mice in the four groups ( F=15.37, 9.63, both P<0.05). The central area activity distance ((0.06±0.03) m) and residence time ((2.48±1.02) s) of the mice in model group were lower than those of the control group ((0.19±0.05) m, (15.00±8.91) s)(both P<0.05). And the central area activity distance((0.12±0.04)m)and the residence time((13.56±7.64)s)were higher than those of model group((0.06±0.03)m, (2.48±1.02)s)and normal saline group((0.06±0.02)m, (2.82±1.52)s)(all P<0.05). Elevated plus maze test results showed statistically significant differences in the numbers and time entering open arms among the four groups ( F=10.74, 19.12, both P<0.05). The numbers((4.50±2.51) times) and the time ((26.95±17.48) s) entering the open arm of mice in model group were both lower than those of the control group ((13.75±4.71) times, (103.75±42.43)s) and Apelin-13 group ((10.00±5.18) times, (55.98±19.49) s) (all P<0.05). Morris water maze test results showed that in the 4-day learning and training phase, the time and group interaction of escape latency was not significant among the four groups ( F=1.15, P=0.34), but time main effect and group main effect were significant ( F=131.65, 16.98, both P<0.05). On the 2nd to 4th day, mice in model group showed significantly increased escape latency than mice in control group and Apelin-13 group(both P<0.05). And the numbers crossing original platform and the time in the target quadrant of Apelin-13 group were both higher than those of model group and normal saline group (all P<0.05). (2) HE staining results showed that neurons in the hippocampal CA1 and CA3 area of mice in model group and normal saline group were swollen and arranged loosely.The hippocampal neurons in control group and Apelin-13 group were arranged neatly and densely. (3) Western blot results showed statistically significant differences in the protein expression of p-PI3K, p-Akt, p-FoxO3a, p62 and the ratio of LC3Ⅱ/LC3Ⅰ among the four groups ( F=21.37, 37.35, 20.71, 13.26, 37.65, all P<0.05). The protein expression of p-PI3K, p-Akt, p-FoxO3a and p62 in Apelin-13 group((0.92±0.07), (0.90±0.09), (0.89±0.13), (1.03±0.08)) were higher than those in model group((0.59±0.04), (0.50±0.07), (0.49±0.11), (0.68±0.04)) and normal saline group((0.61±0.06), (0.50±0.08), (0.53±0.11), (0.70±0.05))(all P<0.05), and the ratio of LC3Ⅱ/LC3Ⅰ in Apelin-13 group(0.60±0.06) was lower than those in model group(0.92±0.10) and normal saline group(0.99±0.05) (both P<0.05). Conclusion:Apelin-13 can alleviate the anxiety-like behavior and impaired spatial learning and memory in PTSD model mice. The mechanism may be related to the up-regulation of PI3K/Akt/FoxO3a autophagy pathway.

Objective:To investigate the expression of hippocampal synapse-related proteins including synaptophysin (SYN), postsynaptic density protein 95 (PSD95) and growth-associated protein 43 (GAP43) in rats with epilepsy accompanied by depression.Methods:The 3-month-old female clean grade SD rats were selected for the experiment.Lithium chloride pilocarpine was used to establish an epileptic rat model. Rats with successful epilepsy models were divided into epileptic depressive group (EWD group)and epileptic group with 10 in each group based on whether they were accompanied by depression. Furthermore, ten rats with matched body mass were taken as the depressive group and 10 were taken as control group. As for the depressive group rats, chronic unpredictable mild stress stimulation combined with orphanage was adopted to establish a model of depression.The depressive behaviors of rats were evaluated by body mass, sucrose preference test and open field test. Immunohistochemical staining and Western blot were used to detect the expression of SYN, PSD95 and GAP43 proteins in rat hippocampal tissue. SPSS 17.0 software was used for data statistical analysis, repeated measurement ANOVA was used for behavioral results, one-way ANOVA was used for inter group comparison of protein expression data, and LSD test was used for further pairwise comparison.Results:As for the body mass, there was significant interaction effect between the time and group among the 4 groups ( F=7.33, P<0.01). On the 8th day and the 29th day, the body weight of rats in the EWD group and the depressive group were lower than those in the epilepsy group (all P<0.05). The body weight of rats in the EWD group on the 29th day was lower than that on the first day ( P<0.05). As for the sucrose preference rates, there was significant interaction effect between the time and group among the 4 groups( F=2.67, P<0.05). The sucrose preference rate of EWD group on the15th and 29th day were lower than that on the first day (both P<0.05). The results of the open field test showed that the interaction effects of the number of vertical standing times( F=2.74) and the number of horizontal movement lattices ( F=1.76) both were not significant (both P>0.05), but both the time effect and group effect were significant (vertical standing times: Ftime=4.35, P<0.05, Fgroup=25.64, P<0.01; horizontal movement lattices: Ftime=12.75, P<0.01, Fgroup=21.37, P<0.01). The immunohistochemical results showed that there was a statistically significant difference in the number of positive cells expressing synaptic proteins SYN, PSD95 and GAP43 among the four groups of rats ( F=93.85, 58.66, 98.84, all P<0.05). The numbers of positive cells of SYN (11.73±4.30), PSD95 (24.47±7.58) and GAP43 (9.40±3.50) in the epilepsy group were lower than those in the control group ((51.00±15.39), (55.60±13.17) and (29.53±4.05)) (all P<0.05). The numbers of positive cells of SYN (5.80±3.53), PSD95 (12.87±4.03) and GAP43 (5.33±3.50) in the EWD group were lower than those in the depressive group ((11.33±3.22), (48.13±12.69) and (15.47±5.21) )(all P<0.05). Western blot results showed that there were statistically significant differences in the expression of synaptic proteins SYN, PSD95 and GAP43 among the four groups of rats ( F=13.19, 9.38, 16.80, all P<0.05). The expression levels of SYN, PSD95 and GAP43 in the epilepsy group were lower than those in the control group (all P<0.05). The expression levels of SYN, PSD95 and GAP43 in the EWD group were lower than those in the epilepsy group and the depressive group (all P<0.05). Conclusion:The low expression of SYN, PSD95 and GAP43 proteins in the hippocampus of rats with epilepsy accompanied by depression may be related to their pathogenesis.

Stroke is a major public health problem in China and the world. Health management can reduce morbidity, disability rate, recurrence rate, mortality and burden of stroke patients effectively.And it can also improve the quality of life of stroke patients effectively. Although the research on stroke health management in China started later than that in foreign countries, a series of research achievements have been obtained in recent years. Therefore, this article reviews the research status of stroke health management in China, and put forward reflections and suggestions for future research and clinical practice. This literature review can provide reference for stroke health management in China.

Objective:To explore the latent classes of health behavior and explore the predictive factors among stroke patients.Methods:A total of 1 250 participants were recruited using cluster random sampling in September 2022. The general information, the modified Rankin scale(mRS), stroke prevention knowledge questionnaire(SPKQ), health behavior scale for stroke patients (HBS-SP), and short form-health belief model scale (SF-HBMS) were administered in the cross-sectional survey. Mplus 8.3 software was used to conduct a latent class analysis (LCA) on the health behavior of stroke patients, and SPSS 27.0 software was used to carry out multinomial Logistic regression to analyze the predictive factors of different latent classes of health behavior of stroke patients.Results:The health behavior of stroke patients obtained three latent classes: low health behaviors-lack of health responsibility group (66.9%, n=794), moderate health behaviors-poor compliance group (11.9%, n=141), and good health behaviors-insufficient exercise group (21.2%, n=251). Compared with good health behaviors-insufficient exercise group, stroke patients with shorter duration education time ( B=-0.589, OR=0.555, P=0.036), hemorrhagic stroke ( B=0.082, OR=1.086, P<0.001), fewer comorbidities ( B=-0.022, OR=0.978, P=0.026), higher mRS score ( B=-0.046, OR=1.047, P=0.004), lower SPKQ score ( B=-0.055, OR=0.947, P=0.016), and lower SF-HBMS score ( B=-0.085, OR=0.919, P<0.001) were more likely to be included in moderate health behaviors-poor compliance group. However, stroke patients with shorter duration education time ( B=-0.026, OR=0.974, P=0.003), rural areas dwelling ( B=0.800, OR=2.225, P=0.004), fewer comorbidities ( B=-0.056, OR=0.945, P<0.001), lower SPKQ score ( B=-0.101, OR=0.904, P<0.001), and lower SF-HBMS score ( B=-0.071, OR=0.931, P<0.001) were more likely to be included in low health behaviors-lack of health responsibility group. Conclusion:The health behavior of stroke patients has three latent classes. A targeted intervention should be carried out according to the characteristics of different classes to improve their health behavior levels.

Objective:To explore the potential facilitators and barriers to healthy behavior among stroke patients.Methods:Semi-structured interviews were conducted among 16 stroke patients from September 2022 to March 2023 using an objective sampling method.The interview guide was developed using the theoretical domain framework(TDF). Interviews were transcribed and refined the theme using directed content and induction analysis.Using the TDF as the initial coding framework, the themes were then merged into the most relevant domains.Finally, the correspondence between theoretical domains and the healthy behavior of stroke patients was determined based on the frequency and relationship between themes.Results:This study identified nine theoretical domains that affected the healthy behavior of stroke patients: knowledge, skills, motivation and goals, social influences, social/professional role and identity, environment context and resources, belief about capability, consequence belief and behavioral regulation.Conclusion:The healthy behavior of stroke patients is complex and influenced by several factors.The nine theoretical domains identified in this study will provide recommendations for future healthy behavior interventions for stroke patients.

Objective:To explore the brain activation intensity changes of depressed patients in the phase of expected value (EV), positive prediction error (+ PE) and negative prediction error (-PE) under uncertain (risky, ambiguous) decision-making.Methods:From July 2018 to February 2021, a total of 48 depressed patients in the Affiliated Hospital of Qingdao University were collected (depression group), and 69 sex-, age-, and educational level-matched healthy people were recruited as the control group. All participants completed risky and ambiguous decision-making tasks under the E-Prime system.SA-9800 brain functional audio-visual stimulation system and GE3.0 T functional magnetic resonance imaging (fMRI) scanners were used to conduct synchronous scanning and data acquisition. Using Xjview software to analyze the activation intensity of related brain areas to compare the activity intensity of the two groups.SPSS 16.0 software was used for chi square test, independent sample t-test. Results:Under risky decision-making, compared with the control group, the brain areas with reduced activation during EV phase in depression group were bilateral prefrontal cortex (PFC)(MNI coordinate: left x=-45, y=21, z=-6; right x=0, y=69, z=-3), left para hippocampal gyrus(PHG)(MNI coordinate: x=-9, y=0, z=-22), bilateral occipital lobe(OL)(MNI coordinate: left x=-51, y=-81, z=-3; right x=48, y=-84, z=-9)( P<0.05). The brain areas with reduced activation during + PE phase were bilateral PFC, left hippocampus (HIP), bilateral temporal lobe (TL), left middle occipital gyrus( P<0.05). The brain areas with reduced activation were bilateral PFC, right putamen, bilateral TL( P<0.05) during -PE phase. Under ambiguous decision-making, compared with the control group, the brain areas with reduced activation during EV phase in depression group were bilateral PFC, right OL( P<0.05); the brain areas with reduced activation during + PE phase were bilateral PFC, right putamen and hippocampus, bilateral TL, bilateral OL( P<0.05); and the brain areas with reduced activation were bilateral PFC, bilateral TL( P<0.05) during -PE phase. Conclusion:The study shows that the activities of reward brain areas such as PFC, limbic system and OL system are reduced during EV and PE phase under uncertain decision-making in depressed patients.

Objective:To explore the developmental characteristics of event-related potential(ERP) in cognitive function of recognition memory in children aged 6-12.Methods:A total of 130 normal children were divided into seven age groups (6 ( n=20), 7 ( n=17), 8 ( n=23), 9 ( n=24), 10 ( n=19), 11 ( n=15), and 12 years old ( n=12)) to perform a picture study-recognition task and record the reaction time, accuracy, and ERP components of all participants. SPSS 22.0 software was used for data analysis. Single factor analysis of variance and trend of variance were used to compare the response time and accuracy of 7 groups of children during the recognition stage. Pearson correlation analysis was used to study the correlation between the amplitude of the central midline N2 component and age. Paired t-test was used to examine the old/new effects of the amplitude of midfrontal N2 and midparietal P3 waves. Results:(1) The differences of recognition ability ( F(6, 123)=2.476, P<0.05), old picture reaction time ( F(6, 123)=6.461, P<0.001), and new picture reaction time ( F(6, 123)=4.163, P<0.001) among 7 age groups of children were statistically significant. Recognition ability of children aged 6 (0.61±0.24) was lower than those of 8-12 years old children((0.76±0.27), (0.76±0.10), (0.73±0.11), (0.75±0.10), (0.70±0.17) respectively)(all P<0.05). The reaction time of the old picture showed no difference among the children aged 6-9 (all P>0.05), and the reaction time of old picture of children aged 12 was shorter than those of 6-10 years old children (all P<0.01). There was no significant difference in the reaction time of new pictures among the children aged 6-10 (all P>0.05), and which in children aged 12 was shorter than those in 6-10 years old children(all P<0.01). (2) Age was positively correlated with the amplitude of the N2 component in the central region under the new ( r=0.488, P<0.001) and old picture( r=0.452, P<0.001) conditions. (3)At 6 years old, children showed old/new effects on the mid-frontal electrodes. At 7 years old, there were no old/new effects in either the mid-frontal or mid-parietal regions. From 8 to 9 years old, old/new effects appeared in the mid-parietal lobe. At 10 years old, old/new effects were present in both the mid-frontal and mid-parietal regions. At 11 years old, the mid-parietal lobe showed old/new effects. Finally, at 12 years old, negative old/new effects could be observed in both the mid-frontal and mid-parietal regions. Conclusion:There are three periods of changes in the behavior of picture recognition memory in school-age children. At ages 6-7, the accuracy rate is relatively low; at ages 8-9, it improves; and between ages 10-12, the accuracy rate stabilizes while also enabling faster judgments.Children's recognition memory retrieval process is more complex than their behavioral performance. Children have different tendencies toward strategies, but strategic transitions in recognition processing are not always beneficial for performance.

Objective:To investigate the effect of problem-solving therapy (PST) on clinical efficacy, cognitive and social function in senile patients with first episode depression.Methods:From March 2020 to August 2021, a total of 86 patients with first onset elderly depression treated in the geriatric department of Qingdao Mental Health Center were selected. According to the random number table method, totally 86 patients were randomly divided into a study group and a control group, with 43 cases in each group. The control group was treated with antidepressant drugs and basic psychiatric nursing intervention. The study group received PST treatment on the basis of the control group for 8 weeks. The Hamilton depression scale-17 items(HAMD-17), Montreal cognitive assessment scale (MoCA), and social dysfunction screening scale (SDSS) were used to assess the degree of depression, cognitive function and social function in both groups. SPSS 18.0 was used for statistical analysis. Independent sample t-test was used for comparison between groups, paired sample t-test was used for comparison before and after treatment. Results:After 8 weeks of intervention, HAMD-17 scores and SDSS scores in the two groups were both significantly decreased compared with before intervention, and the differences between pre intervention and post intervention had statistical significance( t=3.067, 22.543, both P<0.05), while MoCA scores were significantly increased, and the difference between pre intervention and post intervention had statistical significance ( t=9.623, P<0.05). Compared with the control group after 8 weeks of intervention, the HAMD-17 score ((14.44±1.97), (15.58±2.66), t=2.260, P=0.026) and SDSS score((9.44±2.24), (13.00±1.73), t=8.242, P<0.001) of the study group were lower, and the score of MoCA ((25.44±1.28), (23.84±1.56), t=5.223, P<0.001) was higher. Conclusion:In addition to conventional antidepressant therapy, PST not only reduces the severity of depression in elderly patients with first episode depression, but also significantly improves their cognitive and social function.

Objective:To explore the relationship between stress perception and sleep quality among college students, as well as the chain mediating role of expression inhibition and anxiety emotions.Methods:From October to December 2022, a cross-sectional survey was conducted among 785 college students using the perceived stress scale (PSS-14), emotion regulation questionnaire (ERQ), self-rating anxiety scale (SAS), and Pittsburgh sleep quality index (PSQI). SPSS 26.0 software was used for common method bias testing, Pearson correlation analysis, and stratified regression analysis.PROCESS 3.5 macro program was used for mediating effect test.Results:(1) The correlation analysis results indicated that there were significant positive correlations between stress perception (39.22±7.63), expression inhibition (15.95±4.28), anxiety (45.85±11.70) and sleep quality (5.87±3.28)( r=0.120-0.596, all P<0.05). (2) The results of path analysis showed that stress perception could directly predict sleep quality, with a effect size of 0.243 (95% CI=0.172-0.313). Stress perception could indirectly affect sleep quality through anxiety emotion, with a effect size of 0.229 (95% CI=0.178-0.283). Stress perception could affect sleep quality through the chain mediation of expression inhibition and anxiety emotion, and the effect size was 0.010 (95% CI=0.002-0.019). Conclusion:Stress perception can directly predict sleep quality, and can also indirectly predict sleep quality through partial mediating effects of anxiety and chain mediating effects of expression inhibition and anxiety.

Objective:To explore the relationship between core competence, emotional intelligence and depression of nurses.Methods:A cross-sectional survey was conducted on 505 clinical nurses by general data questionnaire, competency inventory for registered nurse, emotional intelligence scale and the primary care evaluation of mental disorders from December 2020 to February 2021.SPSS 23.0 software was used for statistical analysis, and the correlation was obtained by Pearson correlation analysis, and Model 4 in PROCESS V3.4.1 macro program was used to test the mediating effects.Results:The depression score of nurses was(12.42±5.83), and significant differences were found in depression scores at various levels of gender, marital status, and conscious nurse-patient relationship ( F/ t=3.060, 2.678, 3.210, all P<0.05). Core competencies(149.72±54.87) had a positive correlation with emotional intelligence(82.42±15.62)( r=0.967, P<0.01), and depression scores had a negative correlation with core competencies and emotional intelligence ( r=-0.931, -0.928, both P<0.01). The depression level was negatively predicted by core competence of nurses ( β=-0.528, P<0.01). The capabilities of assessing and expressing their own emotions, identifying and assessing others' emotions and managing their own emotions played partial mediating roles, and the effect size were 49.257%(-0.199/-0.404), 16.089%(-0.065/-0.404) and 27.228%(-0.110/-0.404), respectively. Conclusion:Nurses' core competence is a primary factor influencing their depression levels, with emotional intelligence playing a partial mediating role.In addition, nurses' depression level can be reduced by improving the core competence and emotional intelligence of nurses.