ObjectiveTo explore the level of hope of patients with tumor recurrence and its affecting factors.
MethodsPatients with tumor recurrence admitted in West China Hospital from March 2014 to March 2015 were included in this study. Questionnaire survey was conducted to collect the general information of the patients and the information on their coping style, level of hope and social support. The structural equation model was used to analyze the factors that affect the level of hope in patients with tumor recurrence.
ResultsA total of 431 patients were included. The average score of hope in patients with tumor recurrence was 32.88±5.83. Among these patients, 27 (6.26%) had low level of hope, 277 (64.27%) had medium level of hope and 127 (29.47%) had high level of hope. The result of univariate analysis showed that, the level of hope in different genders, marital status, education levels, income levels and types of tumors had significant differences (all P values＜0.05). The result of structural equation model showed that gender (r=-0.322, P<0.001), marital status (r=-0.243, P<0.001), education level (r=-0.219, P<0.001), income (r=0.116, P=0.021) and coping style (r=0.182, P=0.029) had direct effect on the level of hope in patients with tumor recurrence. Social support (r=0.255, P=0.027) and income (r=0.224, P=0.019) could indirectly affect patients’ coping style and therefore the level of hope.
ConclusionMost patients with tumor recurrence have medium to high level of hope. Gender, marital status, education level, income and coping style have influence on the level of hope. More attention should be given to patients with low level of hope, and measures should be taken to improve the level of hope basing on the individual situations of patients with tumor recurrence.
Objective
To explore the correlation between anxiety and social support in patients before radio frequency catheter ablation (RFCA).
Methods
A cross-sectional study was conducted on 120 patients before RFCA from September to November 2014. The participants were asked to complete the Self-rating Anxiety Scale and Social Support Scale. Anxiety score and social support score were compared with the Chinese norm throught-test, and Pearson Correlation was used to identify the correlation between anxiety and social support.
Results
The mean score of RFCA patients’ anxiety was 46.33±9.67, significantly different from the Chinese norm (t=18.700,P<0.05). The total score of social support was 39.80±7.59, significantly higher than the Chinese normal (t=7.287,P<0.05). Anxiety had negative correlation with social support, and the correlation coefficient was –0.377.
Conclusions
Patients’ anxiety before RFCA is higher than normal people, and social support is one of the significant factors of anxiety. Consequently, enhancing social support is a great contribution to relieve anxiety.
ObjectiveTo explore the effect of spiritual care on improving the psychological stress levels of relatives of patients with terminal cancer.
MethodsDuring January 2013 and January 2014, 220 relatives of patients with terminal cancer were selected. Convenience sampling method was adopted to select 100 relatives out of 190 who were agreed to be participated in the investigation, who were divided into the trial group and the control group with 50 in each according to the random alphabet method. The control group was given routine care and psychological counseling, and the trial group was given spiritual care intervention additionally. Before intervention, all of the individuals in both of the two groups should conduct the questionnaire of general demographic data, caregiver stress scale, fatigue rating scale, quality of life scale (QLS), social support scale (SSS), and relatives stress scale (RSS).
ResultsAfter one month's intervention, caregiver stress scale score (52.14±4.75), fatigue rating score (76.75±8.69), RSS score (15.71±3.97), SSS score (22.59±2.22), the QLS score (66.9±7.5) in the trial group were significant better than those in the control group (P < 0.05). After intervention, all the scores in the trial group were significant better than whose before the intervention (P < 0.05).
ConclusionFor the relatives of the patients with terminal cancer, spiritual care can reduce the occurrence rate of stress and fatigue, relieve the psychological stress level, and improve the social support and quality of life.
Objective To compare the social support condition of Three Gorges migrants, that is, latter resettled migrants (in Chongqing) versus outside moving migrants (in Shandong). Methods Migrants were selected in both Chongqing Municipality and Shandong Province by a cluster random sampling method, and the survey was performed by completing the questionnaire of general status and the social support rating scale (SSRS). Results A total of 319 among 330 questionnaires distributed to Chongqing migrants were effective, accounting for 98.3%, and 320 among 340 questionnaires distributed to Shangdong migrants were effective, accounting for 94.1%. The results of the survey on social support showed that, a) The total score of social support of Chongqing migrants was significantly lower than that of Shandong migrants (Plt;0.01); b) The total score of Chongqing migrants in different genders was significantly lower than that of Shandong migrants in the same gender, respectively (Plt;0.05); c) All the scores of Chongqing migrants were significantly lower than those of Shandong migrants at the same age level except the objective score of the migrants at the age below 50 (Plt;0.05); and d) All the scores of Chongqing migrants were significantly lower than those of Shandong migrants at the same education levels except the objective score of the migrants at the education level above junior high school (Plt;0.05). Conclusion Compared to the latter resettled migrants in Chongqing, outside moving migrants in Shandong obtain more social support and fully take advantage of that.
Objective To investigate the family burden of depression inpatients, analyze the influencing factors and explore the approach to reduce the family burden. Methods On-the-spot investigation was conducted for the family members of 200 depression inpatients in Mental Health Center of West China Hospital of Sichuan University from January to December, 2008. Following questionnaires used for investigation were all self-scale and filled out by the family members: “Basic Information Scale of Patients and Family Members”, “Family Burden Scale of Patients with Depression” revised from Pai’s scale of “Burden on the Family of Disease” (scoring 0-48 points and covering 24 items under 6 dimensions, namely, financial burden, disruption of routine family activities, disruption of family leisure, disruption of family interactions, effect on physical health of family members, and effect on mental health of family members; rating each item on a 3-class scale, namely, zero for no burden, one for moderate burden, and two for severe burden) , and Xiao Shuiyuan’s “Social Support Scale” (10 items in total, a higher score indicates a better social support). SPSS 13.0 software was adopted to perform statistical analyses. Results The total score of family burden was 26.3±12.6, the positive answer rate of family burden was 100.0%, and the positive answer rate of the every dimension was above 80%. The score of family burden for parents and spouse was higher than that of children (Plt;0.05). The total score of social support was 40.22±9.06, and the correlation coefficient between family burden and family social support was –0.485 (Plt;0.001). Conclusion It is common for family members of depression patients to get family burden at different levels. The more social support family members get, the less the family burden is.
ObjectiveTo explore the prevalence of anxiety symptoms and its related factors among the family caregivers of the disabled elderly.
MethodsA cross-sectional survey based on convenience sampling was conducted among family caregivers between November and December, 2013 in Dongcheng district in Beijing. The Self-rating Anxiety Scale (SAS) and the Social Support Rating Scale (SSRS) were used to evaluate caregivers' anxious symptoms and social support status respectively. The degree of functional impairment of the elderly was measured by Barthel index.
ResultsA total of 243 family caregivers took part in the study including 88 males and 155 females. The average age of the family caregivers was (60±1.7) years old, ranging from 25 to 85. The prevalence rate of anxiety was 29.2% reported by family caregivers. The average score of SAS was 35.6±8.6. The risk factors of caregivers' anxiety included Barthel index score ≤20 (OR=1.51), SSRS score ≤33 (OR=4.56), no time to relax (OR=1.57) and poor health status caregivers feeling (OR=3.48).
ConclusionA relative high level of anxiety exists in family caregivers for the disabled elderly. Caregiver anxiety is a complex process, influenced by diverse care receiver and caregiver characteristics.
ObjectiveTo systematically review the correlation between sleep quality and social support of the elderly.MethodsDatabases including PubMed, MEDLINE, The Cochrane Library, Springerlink, ProQuest, CMB, CNKI, VIP, and WanFang Data were searched to collect studies on the correlation between sleep quality and social support of the elderly from January 1996 to January 2020. Two reviewers independently screened literature, extracted data and evaluated risk of bias of included studies. Meta-analysis was then performed using RevMan 5.3 software.ResultsA total of 9 studies involving 2 427 elderly people were included. The meta-analysis showed that the combined correlation coefficient between sleep quality and social support was -0.40 (95%CI ?0.54 to ?0.26). The correlation between sleep quality and social support of the elderly varied with the year of publication and sample size, however without regular change. The correlation coefficient of the elderly from institutions (hospital or pension institutions) was higher than that of the community (?0.33 vs. ?0.26); the correlation coefficient of the elderly with health problems was higher than those without health problems (?0.32 vs. ?0.25); the results measured by non-random sampling method were higher than those measured by random sampling (?0.37 vs. ?0.23); and the results measured by Pittsburgh sleep quality index (PSQI) and social support rating scale (SSRS) were higher than those measured by PSQI and perceived social support scale (PSSS) (?0.30 vs. ?0.13).ConclusionsThe higher the level of social support of the elderly in China, the lower the score of PSQI, and the better the sleep quality, in which there are differences in different sample sources and physical conditions.
Objective
To investigate the general situation of self-management behavior of patients with cirrhosis, and analyze its influencing factors.
Method
From January to June 2015, the in-patients with liver cirrhosis were recruited from Gastroenterology Ward of a comprehensive hospital in Chengdu city by convenience sampling method, and a series of questionnaires were used in the research, including self-management behavior scale, social support scale (SSRS), quality of life questionnaire (WHOQOL-BREF) and sociodemographic characteristics.
Results
One hundred and sixty-eight patients were enrolled. The self-management behavior of patients with cirrhosis scored an average of 50.4±11.3, which was in the medium level. Self management behavior was positively and significantly correlated with social support (r=0.488, P<0.001) and the overall quality of life (r=0.554, P<0.001). Multiple linear regression indicated that the gender and course of the disease were two influencing factors. Moreover, female experienced better self-management behavior than men (t=27.090, P<0.001); and the longer the course of the disease was, the better the self-management behavior could be found (t=34.057, P<0.001).
Conclusion
We should strengthen the health education of self-management in patients with cirrhosis, and make full use of the patients’ social support system, so as to improve the patients’ self-management behavior as well as the treatment of diseases and their quality of life.
Objective To study the relationships among health-related quality of life( HRQL) ,social support, excessive daytime sleepiness ( EDS) and PSG parameters in patients with obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods Eighty-five patients were recruited who were diagnosed as OSAHS by overnight polysomnography from August 2007 through November 2007 in West China Hospital.The Calgary sleep apnea quality of life index ( SAQLI) was used for HRQL, social support rating scale ( SSRS) was used for social support, and Epworth sleepiness scale( ESS) was used for EDS. The Pearson linear correlation and stepwise multiple regression analysis were used to analyze the correlation among SAQLI, SSRS, ESS, and PSG. Results The SAQLI was correlated with SSRS score ( r =0. 402, P lt;0. 01) ;ESS score ( r = - 0. 505, P lt;0. 01) ; apnea-hypopnea index ( AHI) ( r = - 0. 269, P lt; 0. 05) and lowest artery oxygen saturation ( LSaO2) ( r = 0. 226, P lt; 0. 05) . Stepwise multiple regression analysis determined two variables, the SSRS and ESS score, as independent factors for predicting the total score of SAQLI which accounted for 37. 3% of the total variance in the total score on SAQLI ( R2 = 0. 373, P lt; 0.001) .Conclusions The HRQL of patients with OSAHS was correlated with the SSRS score, ESS score and PSG parameters. The former two were the more important factors to affect the HRQL of patients with OSAHS.
ObjectiveTo construct a nomogram prediction model for pain crisis occurrence based on clinical data of patients with advanced non-small cell lung cancer (NSCLC), with the aim of providing a scientific basis for clinical decision-making.MethodsA total of patients with advanced non-small cell lung cancer (NSCLC) admitted to our hospital from January 2022 to January 2024 were selected as the study subjects. Demographic data, disease information, pain severity (assessed using the Numerical Rating Scale, NRS), psychological status (anxiety and depression assessed using the Self-Rating Anxiety Scale, SAS, and the Self-Rating Depression Scale, SDS), and social support (assessed using the Perceived Social Support Scale, PSSS) were collected. Univariate and multivariate Logistic regression analyses were performed to identify independent factors influencing pain crisis. The R software was used to visualize the nomogram, and the Receiver Operating Characteristic (ROC) curve, calibration curve, and Hosmer-Lemeshow test were employed to evaluate the discrimination and calibration of the model.ResultsA total of 500 questionnaires were distributed, and 448 qualified questionnaires were collected, with a qualification rate of 89.6%. The patients were divided into a modeling group (n=314) and a validation group (n=134). Univariate analysis showed significant differences between the pain crisis group and the pain-free group in terms of gender, age, education level, PSSS score, bone metastases, pleural metastases, depression and anxiety levels, and antitumor efficacy (P<0.05). Multivariate Logistic regression analysis showed that bone metastasis, PSSS score, age, depression, and anxiety levels were independent factors influencing pain crisis in patients with advanced NSCLC. Based on the results of the multivariate Logistic regression analysis, a nomogram prediction model for pain crisis occurrence in patients with advanced NSCLC was constructed. The Area Under the Curve (AUC) of the ROC curve in the modeling and validation groups was 0.948 and 0.921, respectively, indicating high discrimination of the model. The calibration curve and Hosmer-Lemeshow test results showed good consistency of the model.ConclusionThis study successfully constructed and validated a nomogram prediction model based on independent factors such as bone metastasis, social support (PSSS score), age, depression, and anxiety levels. This model can objectively and quantitatively predict the risk of pain crisis occurrence in patients with advanced NSCLC, providing a scientific basis for clinical decision-making. It helps identify high-risk patients with pain crisis in advance and optimize pain management strategies, thereby improving patient prognosis and quality of life.
