Objective:To explore the causal relationship between social activity and depressive symptoms in the elderly, and to provide a reference for preventing and interventing depressive symptoms in the elderly.Methods:Data were sourced from the China Health and Retirement Longitudinal Study (CHARLS) program, involving 3 164 elderly individuals aged≥60 years with data collected in two measurements, in 2015 (T1) and 2018 (T2). The sample included 1 240 males and 1 924 females aged (71±7) years. Social activities were assessed by constructing a social activity index from the 11 social activities included in the CHARLS questionnaire and the frequency of their activities. The depressive symptoms were assessed using the short version of the Center for Epidemiological Studies Depression Scale (the 10-item Center for Epidemiological Studies Depression Scale, CESD-10). A mixed-design ANOVA was used to explore the trends in social activity and depressive symptoms over time and across genders in the elderly adults. Pearson correlation analysis was used to investigate whether social activity and depressive symptoms in the elderly met the criteria for simultaneous and sequential correlations, followed by a cross-lagged model to analyze the causal temporal or mutual prediction between social activeness and depressive symptoms over a 3-year intervals.Results:The social activity of elderly men at T2 was significantly lower than at T1 ( F=21.00, P<0.001), while no significant difference observed in elderly women ( F=0.31, P<0.001). At both T1 and T2, elderly men scored higher in social activity than elderly women [T1: 2.93±2.98 vs 2.55±2.65,T2: 2.28±2.49 vs 2.24±2.43); F=43.60, 11.24, both P<0.01]. Depressive symptoms at T2 were higher than at T1 for both elderly men and elderly women ((male: 1.90±6.10 vs 21.52±6.08, female: 23.84±6.54 vs 23.07±6.44); F=5.20, 32.77, both P<0.05). Elderly men scored lower than elderly women on depression symptoms at both T1 and T2 (T1: F=45.74, P<0.001; T2: F=69.96, P<0.001). Pearson correlation analysis showed a negative correlation between social activity and depressive symptoms at both measurement points (T1: r=-0.329, P<0.01; T2: r=-0.343, P<0.01), and a positive correlation across T1 and T2 ( r=0.391, 0.573; both P<0.01), meeting the criteria for simultaneous and sequential correlations, and supporting the basic assumptions of cross-lagged design. Cross-lagged analysis revealed that T1 social activity negatively predicted T2 depressive symptoms (β=-0.128, P<0.001), and T1 depressive symptoms negatively predicted T2 social activity (β=-0.202, P<0.001). Conclusion:There is a bidirectional predictive relationship between social activity and depression symptoms in the elderly. Depression symptoms lead to a decrease in social activity, and a decrease in social activity predicts an exacerbation of depression in the elderly.

Objective:To explore the causal relationship between social activity and depressive symptoms in the elderly, and to provide a reference for preventing and interventing depressive symptoms in the elderly.Methods:Data were sourced from the China Health and Retirement Longitudinal Study (CHARLS) program, involving 3 164 elderly individuals aged≥60 years with data collected in two measurements, in 2015 (T1) and 2018 (T2). The sample included 1 240 males and 1 924 females aged (71±7) years. Social activities were assessed by constructing a social activity index from the 11 social activities included in the CHARLS questionnaire and the frequency of their activities. The depressive symptoms were assessed using the short version of the Center for Epidemiological Studies Depression Scale (the 10-item Center for Epidemiological Studies Depression Scale, CESD-10). A mixed-design ANOVA was used to explore the trends in social activity and depressive symptoms over time and across genders in the elderly adults. Pearson correlation analysis was used to investigate whether social activity and depressive symptoms in the elderly met the criteria for simultaneous and sequential correlations, followed by a cross-lagged model to analyze the causal temporal or mutual prediction between social activeness and depressive symptoms over a 3-year intervals.Results:The social activity of elderly men at T2 was significantly lower than at T1 ( F=21.00, P<0.001), while no significant difference observed in elderly women ( F=0.31, P<0.001). At both T1 and T2, elderly men scored higher in social activity than elderly women [T1: 2.93±2.98 vs 2.55±2.65,T2: 2.28±2.49 vs 2.24±2.43); F=43.60, 11.24, both P<0.01]. Depressive symptoms at T2 were higher than at T1 for both elderly men and elderly women ((male: 1.90±6.10 vs 21.52±6.08, female: 23.84±6.54 vs 23.07±6.44); F=5.20, 32.77, both P<0.05). Elderly men scored lower than elderly women on depression symptoms at both T1 and T2 (T1: F=45.74, P<0.001; T2: F=69.96, P<0.001). Pearson correlation analysis showed a negative correlation between social activity and depressive symptoms at both measurement points (T1: r=-0.329, P<0.01; T2: r=-0.343, P<0.01), and a positive correlation across T1 and T2 ( r=0.391, 0.573; both P<0.01), meeting the criteria for simultaneous and sequential correlations, and supporting the basic assumptions of cross-lagged design. Cross-lagged analysis revealed that T1 social activity negatively predicted T2 depressive symptoms (β=-0.128, P<0.001), and T1 depressive symptoms negatively predicted T2 social activity (β=-0.202, P<0.001). Conclusion:There is a bidirectional predictive relationship between social activity and depression symptoms in the elderly. Depression symptoms lead to a decrease in social activity, and a decrease in social activity predicts an exacerbation of depression in the elderly.

Objective To explore the attempted suicide risk factors of socio-demographic and clinical charac-teristics in major depressive disorder patients with atypical features (e.g. increased appetite, weight gain and greater time spent sleeping). Methods This was a secondary analysis of the data from the Diagnostic Assessment Service for People with Bipolar Disorders in China (DASP), which was initiated by the Chinese Society of Psychiatry (CSP) and carried out in 13 major mental health centers in China. Totally 179 patients were diagnosed as atypical major depres-sive disorder patients in all 1172 major depressive disorder patients using Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition (DSM-Ⅳ) by psychiatrists. Suicide attempters and nonattempters were grouped base on the interview results of suicidality module of the Mini International Neuro-psychiatric Interview (MINI). Multiple logistic regression were used to assess association between independent variables and attempted suicide in major depressive disorder patients with atypical features. Results The rater of attempted snicide was 23.5% (42/179) of atypical major depressive disorder patients reported prior or current attempted suicide. Compared to nonattempters, attempters had higher levels of suicidal ideation, postpartum depressive episodes, and the use of antipsychotic, mood stabilizers and benzodiazepines (P<0.05). Logistic regression analysis showed that number of admissions (OR=1.73, 95% CI: 1.093~2.740) and depressive episodes with suicidal ideation (OR=3.90, 95%CI: 1.506~10.092) were significantly associat-ed with attempted suicide in atypical unipolar depression patients (P<0.05). Conclusions High number of admissions and high levels of suicidal ideation may be considered as potential risk factors to identify atypical unipolar depression patients at risk for future suicidal behavior.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to sui?cidal attempt in major depressive disorder (MDD) patients with anxious characteristics. Methods Based on the anxious module of Mini International Neuropsychiatric Interview (MINI), a total of 728 anxious MDD patients from 13 major men?tal health centers in China were classified as suicidal and non-suicidal attempt groups. Further analyses regarding risk factors of suicidal attempt in anxious MDD patients were performed by the multivariate logistic regression analysis. Re?sults Among the 728 patients with anxious MDD analyzed, 135 (18.5%) of them had suicidal attempt and 593 (81.5%) had non-suicidal attempt. Compared to the non-suicidal attempt group, patients with suicidal attempt had significantly earlier age onset[(32.3 ± 11.9) vs. (35.3 ± 13.1)], more lifetime depression episodes (median:2 vs. 2), more number of ad?missions (median: 1 vs. 0), more frequent depressive episodes (14.8% vs. 7.4%), more atypical characteristics (25.9%vs.15.0%), more suicidal ideation (78.5%vs. 50.3%) and more antidepressant use (81.5%vs. 71.2%). Logistic regression analysis showed that number of admissions (OR=1.18, 95%CI:1.02~1.37), frequent depressive episodes (OR=2.10, 95%CI:1.14~3.68), depressive episodes with suicidal ideation (OR=3.55, 95%CI:2.28~5.54) were associated with suicidal at?tempt in MDD patients with anxious characteristics (P<0.05). Conclusions More number of admissions, more frequent depressive episodes, comorbid suicidal ideation may be risk factors of suicidal attempt in anxious MDD patients.

Objective:To compare the suicidality risk in major depressive disorder (MDD)patients with and without anxious characteristics,and analyze the risk factors of suicidality in MDD patients. Methods:This was a secondary analysis of the data from the Diagnostic Assessment Service for people with Bipolar Disorders in China (DASP),which was initiated by the Chinese Society of Psychiatry (CSP),from September 1,2010 to February 28, 201 1. Based on the anxious module and suicide module of Mini International Neuropsychiatric Interview (M. I. N. I),1 172 MDD patients were classified as suffering from anxious MDD (n=728,62. 1%)and non-anxious MDD(n=444,37. 9%). Logistic regression was employed to examine the risk factors of suicidality in MDD pa-tients. Results:Among the anxious MDD patients,331 (45. 5%)of them had suicidality risk. And 54(12. 2%)of non-anxious MDD patients had suicidality risk. Compare to the non-anxious group,the anxious MDD patients had significantly higher suicidality risk (P<0. 00 1 ). Logistic regression analysis showed that more frequent depressive episodes (OR=2. 07 ),depressive episodes with psychotic symptoms (OR=2. 0 1 ),comorbid with anxious charac-teristics (OR=3. 18)or melancholic characteristics (OR=2. 90)were associated with suicidality risk in patients with MDD. Conclusion:It indicates that the anxious MDD patients may have higher suicidality risk than non-anx-ious MDD patients,and more frequent depressive episodes,depressive episodes with psychotic symptoms,comorbid with anxious characteristics or melancholic characteristics may be risk factors of suicidality in patients with MDD.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to sui?cide risk in misdiagnosed bipolar disorderⅡ(BPⅡ) treated for major depressive disorder. Methods A total of l478 con?secutive major depressive disorder patients were interviewed with the Mini International Neuropsychiatric Interview (MINI) in 13 major mental health centers in China. Of the 1478 patients, 190 patients were diagnosed BPⅡ, who were divided into two groups (nonsuicidal risk and suicidal risk) with the suicidality module of MINI. Logistic regression was performed to evaluate significant risk factors associated with suicide risk in misdiagnosed BPⅡtreated for major depres?sive disorder. Results Of the 190 patients, 116 were in the nonsuicidal risk group and 74 were in the suicidal risk group. In comparison to the nonsuicidal risk group, the suicidal risk group had younger age [(34.45 ± 11.18) vs.(37.23 ± 13.22), P=0.008], earlier age at onset [(26.20 ± 9.16) vs. (30.37 ± 11.59), P=0.007], and more suicidal ideation (82.4%vs. 53.4%, P=0.001). Logistic regression analysis showed that age (OR=0.969,95% CI:0.945~0.993) and depressive epi?sodes with suicidal ideation (OR=4.129,95%CI:2.030~8.397) were significantly associated with suicide risk in patients of misdiagnosed BPⅡtreated for major depressive disorder (P<0.05). Conclusions Younger age, severer suicidal ide?ation may be potential independent risk factors to suicide risk in BPⅡwith misdiagnosed with major depressive disor?der.

Objective To study the application of nerve block scalp combined with sevoflurane in children drilling drainage oper-ation .Methods 40 children cases undergoing drilling drainage were selected and randomly divided into the scalp nerve block com-bined sevoflurane group(A ,n=20) and the sevoflurane intravenous inhalational combined anesthesia (B ,n= 20) .The changes of HR and MAP before before induction and at 5 min after induction ,skin incision ,15 min after operation beginning ,operation end , postoperative 30 ,120 min were observed and recorded .The awaking time ,occurrence rate of postoperative nausea and vomiting ,in-cidence rate of postoperative dysphoria and fentanyl dosage were compared between the two groups .Results HR ,MAP at skin in-cision ,15 min after operation beginning ,operation end ,postoperative 30 ,120 min in the group B were significantly increased than before operation(P<0 .05);the awaking time in the group A was significantly shortened compared with the group B (P<0 .05) , the fentanyl dosage was significantly reduced (P<0 .05);in the group B ,crying and screaming appeared in 16 cases ,dysphoria oc-curred in 14 cases ,the incidence rate was significantly higher than that in the group A (P<0 .05) .Conclusion Compared with sim-ple sevoflurane intravenous inhalational combined anesthesia ,sevoflurane combined with scalp nerve block used in children drilling drainage operation has rapid induction and rapid awaking ,stable vital signs ,fewer adverse reactions ,small fentanyl dosage and bet-ter anesthetic and postoperative analgesic effects ,which is safe ,feasible ,simple and effective .

During the psychological intervention for patients injured and patients with internal disease in earthquake in Sichuan,psychological assessment of anxiety,depression and sleep disorder was carried for them by conversation and observation.By analysis,it showed that the patients suffering from depression and anxiety was 41.8% and sleep disorder WaS 73%.Further more,sleep disorder was significantly correlated with depression and anxiety.

OBJECTIVESThe aim of this study was to compare attitudes toward medication and associated factors for patients with schizophrenia in Japan and China.

METHODSAge-group matched samples were drawn from outpatients in Tokyo (N = 76) and Beijing (N = 76) according to the same inclusion/exclusion criteria. Psychotropic prescription and attitudes toward medication were measured using Drug Attitude Inventory-30 (DAI-30) and an original questionnaire regarding beliefs about psychiatric medication. Stepwise regression analysis of the DAI-30 data was performed for each group.

RESULTSJapanese subjects were prescribed significantly larger amounts of antipsychotics. Polypharmacy of antipsychotics and concurrent use of anticholinergics, anxiolytics, or hypnotics were more frequently found among subjects in Tokyo than among those in Beijing. However, subjects in Tokyo and Beijing had similar subjective responses to medication, subjective evaluation of side-effects, and complaints about overuse of psychotropics. Subjects in Tokyo complained less about physician's over-reliance on medication and were less concerned about medication cost than those in Beijing. In Tokyo, longer duration of illness and lower subjective distress caused by side effects predicted a more positive subjective response, while female gender, younger age, and lower Brief Psychiatric Rating Scale score were independently correlated with a better subjective response in Beijing.

CONCLUSIONSSubjective acceptance of multiple medications is greater for patients in Japan than those in China. Determinants of subjective response to medication varied between Japan and China.

Objective　To confirm previous effort to identify type 2 diabetes susceptibility genes in a Northern Chinese population by conducting a new genome scan with both an increased number of type 2 diabetes families and a new set of microsatellite markers within the previously localized regions. Methods　A genome scan method was applied. After multiplexed PCR, electrophoreses, genescan and genotyping analysis, we obtained size information for all loci , and then a further study was done by both parametric and non-parametric linkage analysis to investigate the P values and Z values of these loci. Results　We surveyed 34 microsatellite markers which distributed within 5 regions along chromosome 1, and a total of 12?000 genotypes were screened. Evidence of linkage with diabetes was identified for 8 of the 34 loci. All P values of the 8 loci were lower than 0.05, and the highest Z value was 2.17. A very interesting finding is that all 5 markers at the p- terminal 1p36.3-1p36.23 region, spanning a long range of 16.9?cM, were identified to have a low P value of less than 0.05, which suggests that this region may contain multiple susceptibility genes. Regions 4 and 5 also confirmed the previous findings, and we narrowed these two regions to a 2.7?cM and 2.5?cM regions, respectively. Conclusions　We further confirmed the results gained in the previous genome-wide scan using an increased number of NIDDM families and a new set of microsatellite markers lying within the initially localized regions. The fact that all 5 loci at the p- terminal region displayed a low P value of less than 0.05 suggests that more than 1 susceptibility gene may reside in this region.