Objective To evaluate the effect of the individualized health management on senile mental disorders.Methods 421 patients with senile mental disorders were randomized into two groups:the intervention group (n =213) received routine antipsychotic drugs treatment,health education and individual health management,and the control group(n=208) received only population health education and routine drug antipsychiatric treatment.Results The Brief Psychiatric Rating Scale (BPRS) scores in two group were significantly higher after treatment than before treatment (all P＜0.01).The BPRS score in each period after treatment were significantly higher in intervention group than in control group (all P＜0.01).The mini mental state examination (MMSE) score in two treatment groups were significantly higher after treatment than before treatment (all P＜0.01).The MMSE score in each period after treatment were significantly higher in intervention group than in control group (all P＜0.05).Conclusions The individualized health management in senile mental disorders is not only feasible,but also effective.

Objective To improve self-management of diabetics with role lack.Methods A total of 121 diabetics with role lack were enrolled and received mass education and individual counseling.Serum levels of glucose and lipid profiles and body mass index (BMI) were assessed and compared before and after intervention by using paired t test.Results Knowledge on diabetes ( 79.37 ± 12.45 vs 31.69 ± 9.36,t =2.860,P ＜ 0.05) and self-management skills ( 9.21 ± 2.85 vs 4.43 ± 1.72,t =2.812,P ＜ 0.05 ) were significantly improved after receiving health education,although fasting plasma glucose [ ( 6.3 ± 1.8 ) vs (8.1 ±2.1) mmol/L,t =2.736,P ＜0.05],2-h postprandial blood glucose [(8.1 ±3.7) vs (12.8 ±4.1)mmol/L,t =3.549,P ＜ 0.05 ],glycosylated hemoglobin Alc [ (6.4 ± 2.5 ) ％ vs (7.1 ± 2.7 ) ％,t =2.603,P ＜ 0.05 ],total cholesterol [ ( 5.2 ± 2.3 ) vs ( 6.3 ± 2.4 ) mmol/L,t =2.036,P ＜ 0.05 ],triglyceride [(1.7±0.7) vs (2.4±0.8) mmol/L,t=2.368,P＜0.05] and BMI [(25.6±6.2) vs (27.3±6.5)kg/m2,t =2.546,P ＜ 0.05 ] were largely decreased.Conclusion Health education could improve selfmanagement and cure of diabetic patient with role lack.

Objective To investigate the quality of life of nurses group in Shenzhen city and explore its influencing factors, so as to provide evidence for health policy making health promotion and science research. Methods Self-designed questionnaires were used in social demography survey and SF-36 was adopted to survey 495 in-service nurses on front line from four hospitals in Shenzhen. Paired samples t Test and multivariable stepwise regression were carried out to analyze the quality of life among nurses in Shenzhen city and general population in China. Results The data showed the scores of the physiological domain, psychological domain and quality of life nurses in Shenzhen city and Chinese general population was (68.60±17.61), (69.91±17.91), (67.29±20.29)and (78.18± 15.88), (79.36±17.00), (77.00± 17.42), respectively. The difference had statistical significance. Multivariable stepwise regression showed that quality of life was positively correlated with APN scheduling, education, department, monthly income, working range, age and the hospital level in descending sort Conclusions Health authorities, hospital leaders and nurses-selves should pay more attention to the quality of life for nurses group and take positive mea-sures to improve quality of life of nurses group.

One hundred and six men aged >60 years were assigned to Group A (60 to 69 years old, n=33), Group B (70 to 79 years old, n=38) or Group C ( >80 years old, n =35), respectively. Serum testosterone, broadband ultrasound attenuation (BUA), speed of sound (SOS) , and stiffness (STI) were determined. Our results showed that as age increased, serum testosterone, BUA, SOS and STI decreased; serum testosterone was positively correlated with BUA ( r=0.62, P<0.05 ) and SOS ( r=0.54, P<0.05 ). We thus suggest that serum testosterone in elderly men might be closely related with bone mineral density.

Objective To study the nutritional risks in elderly patients with prostate cancer and explore its related factors.Methods 346 elderly patients with prostate cancer in Wuhan area from May 2013 to May 2014 were chosen as the objects in this study.Nutritional risk screening 2002 was used to evaluate nutritional risk.The sleep quality,anxiety,lower urinary tract symptoms,differentiation and other data of patients were collected.The influencing factors for nutritional risk in the patients were analyzed.Results The ratio of nutritional risk in elderly advanced prostate cancer patients was 35.3％ (122/346).The nutritional risk was increased with age (P＜0.05).The prostate cancer patients with nutritional risk had a higher international prostate symptom score (IPSS) (P＜ 0.05).Monovariate factor analysis showed that sleep quality,operation,pathology staging,radiotherapy,chemotherapy,lower urinary tract symptoms (LUTS) were the impact factors for nutritional status in elderly patients with prostate cancer (P＜0.05).Logistic regression analysis showed that age (OR=0.29),sleep quality (OR=0.25) were the protective factors for the nutritional status,while surgery (OR=12.67),pathological staging (OR=1.65),radiotherapy (OR=2.65),SPSS (OR=1.55),chemotherapy (OR=1.85) were the risk factors for nutritional status (P＜ 0.05).Conclusions The incidence of nutritional risk is high in elderly prostate cancer patients.Age,sleep quality are the protective factors,and operation,pathology staging,SPSS,chemotherapy,and radiotherapy are the risk factors for nutritional status.

Objective:To examine the correlations of microRNA-34c(miR-34c) expression in the peripheral blood with the onset of diabetic foot ulcer(DFU)and diabetic foot osteomyelitis(DFO)in patients with type 2 diabetes mellitus(T2DM).Methods:Sixty newly-diagnosed T2DM patients without DFU(T2DM group), 112 T2DM patients with DFU(DFU group), and 60 healthy controls with normal glucose tolerance(NC group)were included. The 112 T2DM patients with DFU were further divided into DFO( n=64)and NDFO( n=48)groups. The levels of miR-34c were determined by quantitative real-time PCR, while clinical features and risk factors of DFU and DFO were explored. Results:A significant increase in the expression level of miR-34c in peripheral blood was observed in T2DM group compared with NC group[2.99(1.45-6.22) vs 1.01(0.89-1.52), P<0.05], and a markedly increased miR-34c expression level was noted in DFU group compared with T2DM group [9.65(6.15-18.63) vs 2.99(1.45-6.22), P<0.01]. Additionally, the expression level of miR-34c in peripheral blood significantly increased in DFO group compared to NDFO group [13.46(8.89-19.11) vs 6.02(5.93-14.72), P<0.01]. Moreover, there was a positive correlation between the expression level of miR-34c in peripheral blood and the amputation rate in patients in DFU group( P=0.030), and a negative correlation in the expression level of miR-34c( P=0.025)with healing rate of DFU after eight weeks. The multivariate logistic regression analysis confirmed that a high expression of miR-34c was an independent risk factor for DFU and DFO( OR=3.52, 4.13; both P<0.01). Conclusion:An increased expression of miR-34c in peripheral blood of T2DM patients might be closely related to the occurrence, development, and prognosis of DFU and DFO.

Objective:The study seeks to explore the factors influencing the psychological status and sleep quality of medical workers amid the ongoing COVID-19 pandemic, in order to provide data sources and theoretical basis for the development of relevant psychological intervention programs.Methods:Employing the convenience sampling method, general information questionnaire (age, gender, marital status, educational background, job status, etc.), Generalized Anxiety Disorder-7 and Patient Health Questionnaire, epidemic stress index scale, and sleep quality questionnaire were distributed to medical staff between February 18 and April 3, 2020, using the PEM mental health care platform of by ZhongShengKaiXin for medical staff issued. Descriptive, single factor, and correlation analyses, as well as multiple linear regression analysis were used to analyze the data.Results:Overall, 24, 845 questionnaires were collected from 23 provinces, of which 24, 687 were valid, with a recovery rate of 99.36%. The findings showed that the proportion of medical personnel with symptoms of anxiety and depression was 50.58% and 51.37%, respectively; 16.11% had poor or very poor anti-stress ability; and 71.78% reported poor or very poor sleep quality. There was a positive correlation between anxiety, depression, anti-stress ability, and sleep quality ( P<0.05). Anxiety was positively correlated with depression, stress tolerance, and sleep quality( r=0.787, 0.667, and 0.486, all P<0.001); depression was positively correlated with stress tolerance and sleep quality ( r=0.709 and 0.586, both P<0.001); and stress tolerance was positively correlated with sleep quality ( r=0.452, P<0.001). Multiple linear regression analysis results showed that age, gender, marital status, educational background, professional title, job status, and participation influenced the anxiety levels of medical personnel in the backdrop of the pandemic ( P<0.001). Depression levels of medical staff were influenced by gender, educational background, job position, and participation ( P<0.001), while gender, marital status, educational background, job position, and participation influenced the stress tolerance levels ( P<0.001). The sleep quality of medical workers was influenced by age, gender, job position, participation in the fight against the pandemic, and professional title ( P<0.001). Conclusions:Amid the ongoing COVID-19 pandemic, medical staff reported poor mental health status and sleep quality, which can be attributed to diverse factors. The research findings can be useful for assisting medical staff to strengthen their self-cognition, while also providing certain psychological counseling data and theoretical basis for management departments.

Objective To investigate the value of strong ion gap (SIG) in predicting the severity of acute pancreatitis (AP) based on the revised Atlanta classification. Methods A total of 133 patients with AP admitted from January, 2015 to December, 2016 were enrolled. Of them, there were 55 with mild AP (MAP), 52 with moderately severe AP (MSAP) and 26 with severe AP (SAP). All patients with AP conformed to the diagnostic criteria of Guidelines or Diagnosis and Treatment of Acute Pancreatitis set in 2014 in China. Patients with other underlying diseases that might influence the clinical outcome were excluded, including those with diabetic ketoacidosis, chronic renal failure and other disorders. The changes in blood SIG levels in each group were observed. The correlations between SIG and acute physiology, chronic health evaluation (APACHE) Ⅱ score, Ranson score and length of hospital stay were analyzed. The receiver operating characteristic curves (ROC) were plotted to determine the efficiency of SIG, Scr, APACHE Ⅱ score, and Ranson score for predicting the severity of acute pancreatitis. Results The level of SIG in the SAP group was the highest, followed by the MSAP group and the lowest in the MAP group.There were significant differences in pairwise comparisons (P<0.01). The correlations between SIG and APACHE Ⅱ score (r=0.567, P<0.01), Ranson score (r=0.502, P<0.01), and length of hospital stay were positive (r=0.589, P<0.01). There was no statistical difference in the area under curve (AUC) between SIG and APACHE Ⅱ score (0.874±0.029 vs.0.895±0.025, P>0.05) and as well as Ranson score (0.874±0.029 vs. 0.890±0.027, P>0.05) for predicting moderately-severe acute pancreatitis, but SIG was superior to Scr (0.874±0.029 vs. 0.735±0.043, P<0.01). There was a significant difference in AUC between SIG and Scr (0.910±0.030 vs. 0.755±0.054, P<0.01), but no statistical differences between SIG and APACHE Ⅱ score (0.910±0.030 vs. 0.867±0.034, P>0.05) and Ranson score (0.910±0.030 vs. 0.871±0.032, P>0.05) for predicting severe acute pancreatitis. Conclusion SIG has important clinical significance for predicting the severity of acute pancreatitis.

Objective To evaluate the clinical value of non-invasive skin autofluorescence measurement of advanced glycation end products (AGE) to screen for both diabetes mellitus and impaired glucose tolerance (IGT). Methods A total of 389 individuals who underwent physical examination at Renmin Hospital of Wuhan University from December 2016 to August 2017, and were willing to participate were enrolled in our study. 293 people meeting the criteria were included finally. AGE value in the skin tissue was measured non-invasively via autofluorescence with the DM Scanner. Two-hour oral glucose tolerance testing, and measurements of fasting blood glucose and glycosylated hemoglobin were also performed for each patient. Results Among 293 subjects, 209 had normal glucose metabolism, 50 had IGT, and 34 had diabetes mellitus. The measured Advanced glycation end product values in these groups were (69.44 ± 7.28) AU, (79.67 ± 5.65) AU, and (81.17 ± 9.28) AU, respectively. The differences between groups were statistically significant (P<0.05). Pearson correlation analysis showed a significant positive correlation between autofluorescence measurements and fasting blood glucose, glycosylated hemoglobin and glucose level 2 hours after oral glucose loading (r=0.472, 0.433, and 0.546, respectively;P<0.001). The sensitivity of DM Scan screening for IGT was 84.00％, with a specificity of 84.87％. For diabetes mellitus, the sensitivity was 79.41％, and the specificity 84.87％. Conclusion DM Scan has high sensitivity in screening for diabetes mellitus and IGT. It has important clinical value in the early diagnosis of IGT.

Objective: To investigate the prevalence and related risk factors of prostate diseases in traffic policemen. Methods: A total of 848 traffic policemen who took part in the physical examination among August and September in 2016 were selected as research subjects, and a questionnaire survey was conducted to collect their information including smoking, alcohol drinking, biological and physiological indicators, as well as prostate disease etc. The relationship between the prevalence of prostate diseases and related risk factors was analyzed by Non-conditional Logistic Regression. Results: The total prostate disease prevalence rate was 40.2% in the study subjects, and there is statistical significance (P<0.05) of differences between prostate disease group and non disease group in age, work age, smoking, drinking and field work. Single factor analysis showed that age, work age, smoking, and field work are independent risk factors of prostate disease (P<0.05) . Multivariate Logistic regression analysis showed that increasing age (OR 1.03) , smoking (OR 1.92) and field work time (OR 1.47) significantly increased the risk of prostate disease in male police after age, smoking, drinking, BMI, systolic blood pressure, diastolic blood pressure, fasting blood glucose, blood lipids and other indicators were adjusted. Conclusion age, smoking and field work time are risk factors of prostate diseases in the traffic police. There is great significance in publicizing the harmful effects of smoking and reducing the duration of field work.