Aim This paper aimed to investigate the relationship between social support and quality of life for nurses in infectious disease departments in China, as well as the function of psychological resilience in mediating this relationship. Background Nurses in infectious disease departments play a critical role in the prevention and control of infectious diseases and in public health care services in general, and their quality of life can affect the quality of clinical nursing work they do. However, there are few studies on the relationship between nurses' social support networks and their quality of life. Methods A cross‐sectional study was conducted using a sample of 866 clinical nurses from the infectious disease departments of 10 general hospitals in China. Data were collected using a questionnaire survey from January to May 2021. The mediating influence of psychological resilience on social support and quality of life was investigated using structural equation modelling. Results The score of quality of life was (36.36 ± 7.64). Quality of life was positively correlated with social support and psychological resilience (r1 = 0.521, r2 = 0.583; p < .01), and psychological resilience was positively correlated with social support (r = 0.426; p < .01) as well. The mediating effect of psychological resilience between social support and quality of life was 0.233, accounting for 37% of the total effect. Conclusion The quality of life of nurses working in infectious disease departments is in the middle level. Psychological resilience is a mediating variable between social support and quality of life. Implications for Nursing Management Managers can improve the quality of life of nurses by both increasing social support and strengthening psychological resilience. Managers should pay attention to the degree of social support provided to nurses and take proactive measures to build psychological resilience so that nurses can effectively manage stress and negative emotions from work and life in order improve their quality of life.
BackgroundSocial avoidance plays an important role in influencing quality of life among patients with breast cancer. Social avoidance behaviors change with treatment periods. However, the trajectory patterns and the predictive factors have not been fully studied.ObjectiveThis study examined the growth trajectory of social avoidance and its predictors in patients with breast cancer.Materials and methodsA total of 176 patients with breast cancer in a university hospital in Shaanxi Province, China, were followed up four times over 6 months following surgery, and data from the final 144 patients were analyzed. The growth mixed model (GMM) was used to identify the trajectory categories, and the predictive factors of the trajectory types were analyzed by logistic regression.ResultsThe best-fit growth mixture modeling revealed three class models: persistent high social avoidance group (Class 1), social avoidance increased first and then decreased group (Class 2), and no social avoidance group (Class 3), accounting for 13.89, 31.94, and 54.17% of patients, respectively. Single-factor analysis showed that family income per capita, residence, and temperament type were related to the social avoidance trajectory. Logistic regression analysis showed that only temperament type was an independent predictor of the social avoidance trajectory, and patients with melancholia were more likely to have persistent high social avoidance.ConclusionOur study proved the heterogeneity of social avoidance behaviors and the influencing effect of temperament type on the development of social avoidance behaviors in Chinese patients with breast cancer. Health professionals should pay more attention to patients who are at higher risk of developing a persistent social avoidance pattern and provide target interventions.
AimThe aim of this study is to investigate the quality of life of nurses who collected nucleic acid samples throughout the COVID-19 epidemic's routine management, as well as the factors that may have influenced it.BackgroundAfter the outbreak of COVID-19, normalized epidemic prevention and control throughout China were implemented. Nucleic acid testing has become an effective measure for the early detection of virus-infected individuals. Nurses collecting nucleic acid samples undertake important tasks. Their quality of life is significant to maintaining team stability and containing the epidemic. However, research on their quality of life is still limited.MethodsA cross-sectional survey was conducted on 1,292 nurses who collected nucleic acid samples from five tertiary general hospitals in Xi'an through self-reported electronic questionnaires (including general demographic information, the Connor–Davidson Resilience Scale, the Social Support Rating Scale, and the World Health Organization Quality of Life Brief Scale). Descriptive, one-way ANOVA and multiple linear regression were performed using SPSS 26.0. Structural equation modeling was used to analyze the influencing factors.ResultsThe nurses collecting nucleic acid samples had a modest level of quality of life. Age, marital status, average daily sleep duration, frequency of exercise, psychological resilience, and social support were all influencing factors of quality of life, according to multiple linear regression analysis. Quality of life was found to be significantly related to psychological resilience and social support.ConclusionDemographic characteristics, psychological resilience, and social support are the factors affecting the quality of life of nurses who collect nucleic acid samples. Nursing managers should focus more on these factors to improve the quality of life for nurses.Relevance to clinical practiceNursing managers should realize the importance of the quality of life of nurses who collect nucleic acid samples in maintaining a vigorous nursing team and ensuring optimized epidemic control. Social support should also be provided to nurses to improve their psychological resilience, thereby improving their quality of life.
AimOur study aimed to investigate the effect of social responsibility on the subjective well-being of volunteers for COVID-19 and to examine the mediating role of job involvement in this relationship.BackgroundNowadays, more and more people join volunteer service activities. As we all know, volunteer work contributes to society without any return. Volunteers often have a strong sense of social responsibility and reap subjective well-being in their dedication. Although research shows that social responsibility will drive them to participate in volunteer work actively, it is less clear whether job involvement will impact their subjective well-being.MethodsThe data were collected in the precaution zone in Shanghai, China, from April to May 2022. A sample of 302 volunteers for COVID-19 completed the social responsibility scale, subjective well-being scale and job involvement scale in the form of an electronic questionnaire on their mobile phones. A structural equation model was adopted to verify the research hypotheses.ResultsSocial responsibility was significantly and positively related to volunteers’ subjective well-being and job involvement (p < 0.05). Job involvement fully mediates the relationship between volunteers’ social responsibility and subjective well-being.ConclusionSocial responsibility is critical to predicting volunteers’ subjective well-being. Job involvement plays an intervening mechanism in explaining how social responsibility promotes volunteers’ subjective well-being.
Background COVID-19 infection continues all over the world, causing serious physical and psychological impacts to patients. Patients with COVID-19 infection suffer from various negative emotional experiences such as anxiety, depression, mania, and alienation, which seriously affect their normal life and is detrimental to the prognosis. Our study is aimed to investigate the effect of psychological capital on alienation among patients with COVID-19 and the mediating role of social support in this relationship. Methods The data were collected in China by the convenient sampling method. A sample of 259 COVID-19 patients completed the psychological capital, social support and social alienation scale and the structural equation model was adopted to verify the research hypotheses. Results Psychological capital was significantly and negatively related to the COVID-19 patients’ social alienation (p < .01). And social support partially mediated the association between psychological capital and patients’ social alienation (p < .01). Conclusion Psychological capital is critical to predicting COVID-19 patients’ social alienation. Social support plays an intermediary role and explains how psychological capital alleviates the sense of social alienation among patients with COVID-19 infection.
BackgroundFor patients with breast cancer, family functioning is an important factor affecting self-transcendence, which is a key source of happiness. However, network analysis studies of family functioning and self-transcendence are lacking, particularly among patients with breast cancer.PurposeThe present study investigated the network structure of family functioning and self-transcendence in patients with breast cancer and aimed to identify bridge items to provide some theoretical support for the improvement and intervention of self-transcendence in patients with breast cancer.MethodsA total of 294 patients with breast cancer were enrolled in our study. Self-transcendence was evaluated with the Self-Transcendence Scale. Family functioning was evaluated with the Family Adaptation, Participation, Growth, Affection, Resolution (APGAR) Scale. Network analyses were used for the statistical analysis.ResultsIn the network of family functioning and self-transcendence in patients with breast cancer, there were 22 edges across communities, of which the 5 strongest edges connected to the 5 dimensions of family functioning are “Adaptation” with “Enjoyment of hobbies”, “Participation” with “Life enjoyment”, “Growth” with “Acceptance of bodily changes”, “Affection” with “Life enjoyment”, “Resolution” with “Help acceptance”. “Adaptation” had the highest bridge expected influence value (0.30) in the family functioning community, while “Life enjoyment” had the highest bridge expected influence value (0.27) in the self-transcendence community.ConclusionComplex patterns of associations existed in the fine-grained relationship between family functioning and self-transcendence in patients with breast cancer. From the perspective of network analysis, the “Adaptation” aspect of family functioning and the “Life enjoyment” aspect of self-transcendence may be the best targets for improving self-transcendence. These results have important implications to clinical practice, which provided potential targets for interventions to improve self-transcendence from the perspective of family functioning.
Aim: To clarify the subtypes of information literacy among Chinese clinical nurses and explore the factors affecting profile membership Methods: A total of 2490 Chinese clinical nurses were selected in the cross-sectional survey from March to May 2020. The clinical nurses completed the online self-report questionnaires including the general demographic questionnaire and information literacy scale. Data analyses consisted of latent profile analysis, variance analysis, Chi-square test and multivariate logistic regression.Results: Four latent profiles were identified: ‘Low information literacy (Class 1)’, ‘Moderate information knowledge (Class 2)’, ‘High information knowledge and support (Class 3)’ and ‘High information literacy (Class 4)’, accounting for 20.14%, 42.11%, 23.36% and 14.39%, respectively. Compared with Class 4, nurses with nursing title and more than 6-year working experience were more likely to be grouped into Class 1; not reading literature in the past month was more likely to be grouped into Classes 1 and 2; the more years of work was more likely to be grouped into Classes 2 and 3; the lower age and hospital-grade, in the countryside, less time spending in spare time to learn professional knowledge, less using databases to search literature, not participating in information literacy training, lower self-efficacy and social support were more likely to be grouped into Classes 1, 2 and 3. Conclusions: Information literacy has different classification features among Chinese clinical nurses. Information literacy of over half of the nurses surveyed is at the lower or middle level. Different types of clinical nurses have different characteristics. Nursing managers should actively pay attention to clinical nurses with low information literacy and help them improve their information literacy level.Implications for nursing: The information literacy level of each clinical nurse was different. Nursing managers should realize the importance of information literacy in clinical nursing work and pay attention to the improvement of clinical nurses' information literacy. Our study clarifies the subtypes of information literacy among Chinese clinical nurses and explores the influencing factors of nursing information literacy from both internal and external aspects, which provides a reference for nursing managers to improve clinical nurses’ information literacy more specifically.
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