scholarly journals Prevalence, Influencing Factors, and Cognitive Characteristics of Depressive Symptoms in Elderly Patients with Schizophrenia

2021 ◽  
Vol Volume 17 ◽  
pp. 3645-3654
Author(s):  
Yaopian Chen ◽  
Wei Li
Keyword(s):  
Depressive Symptoms ◽  
Elderly Patients ◽  
Influencing Factors ◽  
Cognitive Characteristics

scholarly journals Effect of timing of surgical resection of primary hepatocellular carcinoma on survival outcomes in elderly patients and prediction of clinical models

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yongfei He ◽  
Tianyi Liang ◽  
Shutian Mo ◽  
Zijun Chen ◽  
Shuqi Zhao ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Liver Cancer ◽  
Elderly Patients ◽  
Surgical Resection ◽  
Influencing Factors ◽  
The Elderly ◽  
Primary Hepatocellular Carcinoma ◽  
Surgical Timing ◽  
Duration Of Surgery

Abstract Background The effect of time delay from diagnosis to surgery on the prognosis of elderly patients with liver cancer is not well known. We investigated the effect of surgical timing on the prognosis of elderly hepatocellular carcinoma patients undergoing surgical resection and constructed a Nomogram model to predict the overall survival of patients. Methods A retrospective analysis was performed on elderly patients with primary liver cancer after hepatectomy from 2012 to 2018. The effect of surgical timing on the prognosis of elderly patients with liver cancer was analyzed using the cut-off times of 18 days, 30 days, and 60 days. Cox was used to analyze the independent influencing factors of overall survival in patients, and a prognostic model was constructed. Results A total of 232 elderly hepatocellular carcinoma patients who underwent hepatectomy were enrolled in this study. The cut-off times of 18, 30, and 60 days were used. The duration of surgery had no significant effect on overall survival. Body Mass Index, Child-Pugh classification, Tumor size Max, and Length of stay were independent influencing factors for overall survival in the elderly Liver cancer patients after surgery. These factors combined with Liver cirrhosis and Venous tumor emboli were incorporated into a Nomogram. The nomogram was validated using the clinical data of the study patients, and exhibited better prediction for 1-year, 3-year, and 5-year overall survival. Conclusions We demonstrated that the operative time has no significant effect on delayed operation in the elderly patients with hepatocellular carcinoma, and a moderate delay may benefit some patients. The constructed Nomogram model is a good predictor of overall survival in elderly patients with hepatectomy.

Prevalence and related influencing factors of depressive symptoms among empty-nest elderly in Shanxi, China

2019 ◽  
Vol 245 ◽  
pp. 750-756 ◽  
Author(s):  
Chichen Zhang ◽  
Yaqing Xue ◽  
Huining Zhao ◽  
Xiao Zheng ◽  
Ruifang Zhu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Influencing Factors ◽  
Empty Nest

scholarly journals Prevalence and Influencing Factors of Anxiety and Depression Symptoms Amongst Surgical Nurses During COVID-19 Pandemic: A Large-Scale Cross-Sectional Study

2020 ◽  
Author(s):  
Chun-Xia Ren ◽  
De-Cun Zhou ◽  
Yin-Guang Fan ◽  
Bao-Zhu Li ◽  
Wan-Fei Zhang ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Influencing Factors ◽  
Rating Scale ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Cross Sectional ◽  
Self Rating ◽  
Surgical Nurses

Abstract BackgroundThe outbreak of novel 2019 coronavirus disease (COVID-19) has imposed an enormous physical and psychological pressure on people across the world. This study focused on evaluating the prevalence and influencing factors of anxiety and depression symptoms in surgical nurses during the epidemic in China. MethodA cross-sectional, multicenter quantitative study was conducted in Anhui province (China) from March 3, 2020 to March 19, 2020, with a questionnaire package which consisted of general information questionnaire，Zung's self-rating anxiety scale (SAS), Zung's self-rating Depression Scale (SDS) and social support rating scale (SSRS). A total of 3600 surgical nurses participated in the survey by Wechat and QQ. Data were analysed using multiple linear regression models. ResultsA total of 3492 surgical nurses from 12tertiary hospitals and 12 secondary hospitals in one province of mainland China completed the survey. The prevalence rates of anxiety symptoms and depressive symptoms were 24.83% and 22.39%, respectively. The average level of anxiety and depression of surgical nurses were higher than that of the Chinese norm (P< 0.05).Levels of social support for surgical nurses were significantly negatively associated with the degree of anxiety (r = -0.630, P < 0.001) and depression (r = -0.578, P < 0.001). Fertility status (β = 1.469, P = 0.003), hospital (β = -0.611, P < 0.001), participation in care for COVID-19 patients (β = 2.229, P < 0.001), likelihood of being infected with COVID-19 (β = 1.146, P < 0.001), social support (β = -0.623, P < 0.001) were significantly influencing surgical nurses’ anxiety degree. Similarly, these characteristics were significantly associated with the odds of experiencing depression symptoms in surgical nurses. Divorce and widowed surgical nurses (β = -2.654, P < 0.001) were significantly more likely to experience depressive symptoms than single nurses. ConclusionIn this survey, we found that the surgical nurses had high anxiety and depression symptoms during the COVID-19 outbreak in China. The findings suggest that targeted psychological interventions to promote the mental health of surgical nurses with psychological problems need to be immediately implemented.

scholarly journals Survey of Chinese persons managing depressive symptoms: Help-seeking behaviours and their influencing factors

2019 ◽  
Vol 95 ◽  
pp. 152127 ◽  
Author(s):  
Shu Fang ◽  
Xiao Qin Wang ◽  
Bing Xiang Yang ◽  
Xiu Jun Liu ◽  
Diana L. Morris ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Influencing Factors ◽  
Help Seeking

scholarly journals INFLUENCING FACTORS OF SUBJECTIVE AGE: FINDINGS FROM THE KUSATSU LONGITUDINAL STUDY ON AGING AND HEALTH

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S695-S696
Author(s):  
Tomoko Ikeuchi ◽  
Satoshi Seino ◽  
Yu Taniguchi ◽  
Miki Narita ◽  
Takumi Abe ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Cognitive Function ◽  
Influencing Factors ◽  
Community Dwelling ◽  
Chronological Age ◽  
Social Changes ◽  
Subjective Age ◽  
Age Related ◽  
Years Of Schooling

Abstract Background: Subjective age (SA) has been found to be a biopsychosocial marker of aging, yet little is known about factors that influence SA development. This study examined factors influencing SA using longitudinal data of community-dwelling older Japanese. Methods: Data drawn from the Kusatsu Longitudinal Study were collected during annual health check-ups in 2017 and 2018 from participants (aged 65-95) who completed all the measurement items used for this analysis (N=981). SA was indexed by asking participants to specify in years how old they felt. Proportional discrepancy scores ((subjective age - chronological age)/chronological age ×100) were calculated to indicate younger or older SAs and used as a dependent variable. As influencing factors of SA, chronological age, sex, years of schooling, history of smoking, cognitive function (using MMSE scores, range 14-30 at baseline), depressive symptoms, physical function (gait speed), and social function (employment status) were examined. Analyses were performed with random-effects GLS regression models. Results: Significant partial regression coefficients were found for cognitive function (0.48%, CI: 0.18, 0.79), years of schooling (-0.42%, CI: -0.69, -0.15), depressive symptoms (0.32%, CI: 0.11, 0.53), and chronological age (-0.18%, CI: -0.30, -0.68). Implications: This study found that older age and longer years of schooling were associated with younger SA, while better cognition and depressive symptoms were linked to older SA. Better cognition being associated with older SA was inconsistent with existing studies. This may be due in part to the association of better cognition and the level of satisfaction influenced by awareness of age-related physical/social changes.

scholarly journals Elevated Procalcitonin as a Risk Factor for Postoperative Delirium in the Elderly after Cardiac Surgery—A Prospective Observational Study

2020 ◽  
Vol 9 (12) ◽  
pp. 3837
Author(s):  
Anna Kupiec ◽  
Barbara Adamik ◽  
Natalia Kozera ◽  
Waldemar Gozdzik
Keyword(s):  
Cardiac Surgery ◽  
Depressive Symptoms ◽  
Elderly Patients ◽  
Odds Ratio ◽  
Postoperative Delirium ◽  
Prospective Observational Study ◽  
Reference Range ◽  
The Elderly ◽  
Daily Functioning ◽  
Multivariable Logistic Regression Model

One of the most common complications after cardiac surgery with cardiopulmonary bypass (CBP) is delirium. The purpose of this study was to prospectively investigate the risk of developing postoperative delirium in a group of elderly patients using a multivariate assessment of preoperative and intraoperative risk factors. A total of 149 elderly patients were included. Thirty patients (20%) developed post-operative delirium. Preoperative procalcitonin (PCT) above the reference range (>0.05 ng/mL) was recorded more often in patients who postoperatively developed delirium than in the non-delirium group (50% vs. 27%, p = 0.019). After surgery, PCT was significantly higher in the delirium than the non-delirium group: ICU admission after surgery: 0.08 ng/mL vs. 0.05 ng/mL p = 0.011), and for consecutive days (day 1: 0.59 ng/mL vs. 0.25 ng/mL, p = 0.003; day 2: 1.21 ng/mL vs. 0.36 ng/mL, p = 0.006; day 3: 0.76 ng/mL vs. 0.34 ng/mL, p = 0.001). Patients with delirium were older (74 vs. 69 years, p = 0.038), more often had impaired daily functioning (47% vs. 28%, p = 0.041), depressive symptoms (40% vs. 17%, p = 0.005), and anemia (43% vs. 19%, p = 0.006). In a multivariable logistic regression model, preoperative procalcitonin (odds ratio (OR) = 3.05), depressive symptoms (OR = 5.02), age (OR = 1.14), impaired daily functioning (OR = 0.76) along with CPB time (OR = 1.04) were significant predictors of postoperative delirium.

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