Objective To explore the effects on self-efficacy and health behavior change in elderly patients with chronic diseases in community by motivational interviewing and to provide the basis for the health behavior management of elderly patients with chronic diseases in community.Methods The study was based on a cross-section investigation by random cluster sampling which included a sample of 287 elderly patients.The questionnaire was localized good life club questionnaire of Australia,including demographic data,prevalence of chronic diseases,health-related indicators,self-health assessment,psychological pressure measurement,life satisfaction scale and assessment of behavior change stage.A total of 265 valid questionnaires were effective,and the effective rate was 92.3％.Results The scores of self-reported symptoms and life satisfaction of patients with chronic diseases after motivational interviewing were significantly higher than before (F=8.527,7.697; P＜0.05),the scores of stress scale and behavior change stages were significantly lower than before (F=229.483,91.613; P＜0.01).The score differences with health self-assessment,functional status and social function evaluation were not statistically significant(F=0.222,2.084,P＞0.05).The number of patients who believed their health are better rose from 102 to 114,the number of patients whose life satisfaction were moderate and above rose from 255 to 265,and the number of high risk of psychological stress reduced from 5 to 1.In the stages of behavior change,the number of people in the action stage rose from 1 to 20,and the number of people in the preparation stage rose from 138 to 215 after the intervention.Conclusion Motivational interviewing can strengthen the self-efficacy in elderly patients with chronic diseases in community significantly and promote healthy behavior change.It is necessary to provide ongoing support for motivational interviewing to consolidate its behavior change outcomes,because of the complexity of the development process of behavior change stages.

AIM To investigate the effects of honokiol on ischemic neurological deficiency and on the scavenging ability of ischemia reperfusion (I-R) brain tissue for reactive oxygen species (ROS). METHODSCerebral ischemia was induced by middle cerebral artery occlusion (MCAO) in rats. I-R in mice were induced by blood stream pause in bilateral common carotid arteries for 30 min and reperfusion for 30 min. The activities of ROS scavenging enzymes were determined with colorimetric methods. RESULTS Intravenous honokiol in 5-50 μg·kg-1 significantly decreased the neurological deficiency score, and diminished cerebral infarction volume in rats. In I-R brain tissue of mice, intravenous honokiol in 7-70 μg·kg-1 evidently enhanced the activities of superoxide dismutase, catalase, glutathione peroxidase and peroxidase, and markedly lowered lipid peroxidative product malondialdehyde content. Moreover honokiol significantly increased Na+-K+-ATPase activity in I-R brain tissue. CONCLUSION Honokiol ameliorates the neurological deficiency behavior and diminishes infarction volume in MCAO rats; and enhances cerebral scavenging ability for ROS and Na+-K+-ATPase activity in cerebral I-R mice. It is indicated that honokiol is a protective agent for cerebral ischemia and I-R.

BACKGROUND: Content-based medical image retrieval involves multiple domains.Due to different imaging principles of various medical images,there are differences in color,texture,and shape,which should be resolved.OBJECTIVE: As in content-based medical image retrieval system,feature extraction from image is very difficult and the retrieval is very time-consuming,a similar image retrieval method based on graph-cuts and rough sets is proposed.METHODS: In order to overcome the defects that graph-cuts is only suitable for small image end easily leads to a small cut-sets,a clustering was applied to image,and the Gomory-Hu cuts tree of image was established.An image feature library was built by removing the edges of Gomory-Hu cuts tree for the value of cut.Reduction of features in library was obtained based on rough sets and the number of features in similar compare decrease.This method was applied to retrieve brain tumor image in MRI brain image database.RESULTS AND CONCLUSION: Results show that this method can effectively retrieve brain tumor images in the library.The average retrieval precision rate and the average recall rates were 78.4% and 62.9%,respectively.

Objective To investigate the effectiveness and the best assessment time of the short-latency somatosensory evoked potential (SLSEP) and brainstem auditory-evoked potential (BAEP) in the prognosis prediction of patients with severe cerebrovascular disease. Methods A prospective trial was conducted. The patients with severe cerebrovascular disease and Glasgow coma scale (GCS) ≤ 8 and admitted to the neurological intensive care unit (NICU) of Armed Police Logistics College Affiliated Brain Hospital from December 2014 to May 2015 were enrolled. The patients received SLSEP and BAEP nerve electrophysiological examinations within 24 hours and on 3, 7, 15 days after admission respectively and were graded according to Cant method. GCS was evaluated within 24 hours and on 15 days after admission. The prognosis was evaluated by Glasgow outcome scale (GOS) at six months after the onset of the disease. At different time windows after the onset of the disease, the correlations between different predictive indexes (GCS, SLSEP and BAEP) and outcome (GOS) were analyzed using spearman rank correlation; in the mean time, the efficacy for predicting the prognosis by single index or combined indexes was compared by receiver operator characteristic (ROC) curve. Results Seventy-eight patients were enrolled [men 46, women 32, age range (60.79±12.50) years old]. There were 78, 64, 44 and 19 patients observed at 24 hours and on 3, 7, 15 days after admission because the short-term death of some patients. The graded abnormal rate of SLSEP was 75.64%, 82.81%, 79.55% and 73.98% respectively; and the graded abnormal rate of BAEP was 82.05%, 84.38%, 85.94% and 73.68% respectively. ① Correlation analysis: all the predictors were correlated with GOS within 24 hours and on 3, 7, 15 days after admission, and SLSEP and BAEP grading were moderately correlated with GOS (0.4≤|R| < 0.7). ② The accuracy of the predicting prognosis: the area under the curve (AUC) of GCS on 15 days after admission [AUC = 0.772, 95% confidence interval (95%CI) = 0.561-0.984, P = 0.045] was the maximum when predicting survival. AUC of SLSEP (AUC = 0.825, 95%CI = 0.695-0.955, P = 0.000) and BAEP (AUC = 0.786, 95%CI = 0.646-0.927, P = 0.002) were the maximum on 7 days after admission when predicting death. ③ The effectiveness of the prognosis prediction: the sensitivity of SLSEP grading and BAEP grading were 92.6% and 96.3% respectively, while the sensitivity, specificity and accuracy of SLSEP and BAEP combined prediction were 100% on 7 days after admission. The specificity of GCS was 100% on 15 days after admission. Conclusions SLSEP and BAEP have more close correlation with prognosis compared with the GCS; Continuous dynamic combined evaluation of SLSEP and BAEP has important clinical value for patients with severe cerebrovascular disease possess in the prognosis assessment, the accuracy and the effectiveness of SLSEP and BAEP combined prediction were higher on 7 days especially.

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease affecting both upper and lower motor neurons (MNs) with large unmet medical needs. Multiple pathological mechanisms are considered to contribute to the progression of ALS, including neuronal oxidative stress and mitochondrial dysfunction. Honokiol (HNK) has been reported to exert therapeutic effects in several neurologic disease models including ischemia stroke, Alzheimer's disease and Parkinson's disease. Here we found that honokiol also exhibited protective effects in ALS disease models both in vitro and in vivo. Honokiol improved the viability of NSC-34 motor neuron-like cells that expressed the mutant G93A SOD1 proteins (SOD1-G93A cells for short). Mechanistical studies revealed that honokiol alleviated cellular oxidative stress by enhancing glutathione (GSH) synthesis and activating the nuclear factor erythroid 2-related factor 2 (NRF2)-antioxidant response element (ARE) pathway. Also, honokiol improved both mitochondrial function and morphology via fine-tuning mitochondrial dynamics in SOD1-G93A cells. Importantly, honokiol extended the lifespan of the SOD1-G93A transgenic mice and improved the motor function. The improvement of antioxidant capacity and mitochondrial function was further confirmed in the spinal cord and gastrocnemius muscle in mice. Overall, honokiol showed promising preclinical potential as a multiple target drug for ALS treatment.