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.
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.
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.
ObjectiveTo investigate the current status and influencing factors of self-care behavior of non-dialysis patients with chronic kidney disease (CKD).MethodsA total of 336 patients with CKD were investigated by a general data questionnaire, the CKD Self-care Behavior Scale, Social Support Scale, Generalized Anxiety Self-assessment Scale, and 9-item Patients Health Questionnaire through WeChat platform, and the influencing factors of self-care behavior were explored by binary logistic regression analysis.ResultsThe median score of self-care behavior of CKD patients without dialysis was 60, and the patients with median and high level of self-care behavior accounted for 97.6%. The score of self-care behavior of CKD patients without dialysis was positively correlated with the total score of social support (r=0.210, P<0.001), objective support score (r=0.127, P=0.020), subjective support score (r=0.195, P<0.001), and social support utilization score (r=0.164, P=0.002), and negatively correlated with the anxiety score (r=–0.132, P=0.015), depression score (r=–0.230, P<0.001), body mass index (r=–0.181, P=0.001), and systolic blood pressure (r=–0.168, P<0.001). The results of binary logistic regression analysis showed that the influencing factors of non-dialysis CKD patients’ self-care behavior were gender [(odds ratio, OR)=2.179, 95% confidence interval, CI (1.134, 4.187), P=0.019], systolic blood pressure [OR=0.967, 95%CI (0.947, 0.987), P=0.002], and depression score [OR=0.844, 95%CI (0.765, 0.931), P=0.001].ConclusionsThe self-care behavior of CKD patients without dialysis is at the median and high level. Healthcare workers can improve the self-care behavior of CKD patients by reducing their negative emotions such as depression, and guiding patients to carry out blood pressure management, to delay the progress of the disease.
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.
Objective Depression is a common consequence after stroke and has become a significant issue in clinical practice and research. The aim of this study was to explore associated factors of post-stroke depression among first-ever stroke patients in Hong Kong. Methods A longitudinal study was conducted to collect data in face-to-face interviews and by physical assessment at two time points: T1, within 48 hours of admission to a rehabilitation hospital; and T2, 6 months after the first interview. T2 interviews and assessments were conducted in the participant’s current place of residence. Participants were first-ever stroke patients in Hong Kong. Post-stroke depression was measured using the Center of Epidemiological Study-Depression (CES-D) Scale. Backward linear regression analysis was performed to examine factors associated with level of post-stroke depression at T2. Results Our findings showed that 69% of participants exhibited clinically relevant levels of depressive symptoms at T1 and 48% at T2. Regression analysis revealed complex relationships between the level of depressive symptoms, demographic characteristics and variations in perceived levels of social support. Five variables were found to explain 55% of the variance in depressive symptoms at T2. The variables with significant standardized regression coefficients (β) were: companionship (P=0.001), informational support (P=0.025), baseline level of depressive symptoms (Plt;0.001), ADL dependence level (Plt;0.001) and being a homemaker before the stroke (P=0.039). Conclusions We have followed a group of stroke patients over a 6-month period. Our findings suggest that when screening for post-stroke depression, health professionals must take into consideration of the clinical, socio-personal characteristics that might increase a stroke patient’s vulnerability to develop depression after stroke.
Objective To reflect the correlation between social support and mental health of the aged through the Pearson correlation coefficient. Methods Databases including PubMed, SpringerLink, EMbase, The Cochrane Library, VIP, WanFang Data and CNKI were searched from inception to October, 2011 to collect literature on the correlation between social support and mental health of the aged. The studies were screened according to the inclusion and exclusion criteria. After extracting data and assessing the quality of the included studies, meta-analysis was conducted using RevMan 5.0 software. Results Of the 2 396 identified studies, 4 studies were included. The results showed that 4 studies were not high in the overall quality. The total score of social support of the elderly and its three dimensions were related to mental health. Among 9 factors associated with mental health, somatization, depression and anxiety were weakly correlated to the objective support while the others were extremely weakly correlated. Anxiety and phobic anxiety were weakly correlated to the subjective support while the others were extremely weakly correlated. Phobic anxiety was weakly correlated to the utilizing degree while the others were extremely weakly correlated. Somatization, anxiety and phobic anxiety were weakly correlated to the total score of social support while the others were extremely weakly correlated. Conclusion Social support probably improves mental health of the aged to some extent.
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.