Objectives To explore the correlations among social isolation and symptoms of anxiety and depression among patients with breast cancer in China and to further verify the mediating role of social support in social isolation and symptoms of depression or anxiety. Design A cross‐sectional survey. Settings The cluster sampling method was conducted for 456 female inpatients diagnosed with breast cancer at the Tumor Hospital Affiliated of Harbin Medical University from April 2019–September 2019. Methods Pearson correlation analysis was used for identifying correlations among all the variables. Mediation effect analysis was used to examine the role of social support in social isolation and symptoms of depression or anxiety. Results The results showed a prevalence of 73.26% and 70.44% for anxiety and depression symptoms in patients with breast cancer, respectively. Anxiety was significantly negatively correlated with social support (r = −.334, p < .01) and significantly positively correlated with social isolation (r = .369, p < .01). Similarly, depression was significantly negatively correlated with social support (r = −.289, p < .01) and significantly positively correlated with social isolation (r = .466, p < .01). Social support played a mediating role in social isolation and f symptoms of anxiety or depression among these patients. Conclusions Social isolation was positively correlated with symptoms of anxiety and depression in patients with breast cancer, respectively. Social support for patients with breast cancer has a mediating effect on the patients’ social isolation and symptoms of anxiety and depression. Therefore, the support of family, friends, hospitals, and organizations plays a positive role in reducing social isolation as well as symptoms of depression and anxiety in these patients.

Supplemental Digital Content is available in the text

COVID-19 restrictions have necessitated child/youth mental health providers to shift towards virtually delivering services to patients’ homes rather than hospitals and community mental health clinics. There is scant guidance available for clinicians on how to address unique considerations for the virtual mental healthcare of children and youth as clinicians rapidly shift their practices away from in-person care in the context of the COVID-19 pandemic. Therefore, we bridge this gap by discussing a six-pillar framework developed at Hospital for Sick Children (SickKids) in Toronto, Ontario, Canada, for delivering direct to patient virtual mental healthcare to children, youth and their families. We also offer a discussion of the advantages, disadvantages, and future implications of such services.

Understanding workload characteristics is essential to storage systems design and performance optimization. With the emergence of flash memory as a new viable storage medium, the new design concern of flash endurance arises, necessitating a revisit of workload characteristics, in particular, of the write behavior. Inspired by Web caching studies where a Zipf-like access pattern is commonly found, we hypothesize that write count distribution at the block level may also follow Zipf 's Law. To validate this hypothesis, we study 48 block I/O traces collected from a wide variety of real and benchmark applications. Through extensive analysis, we demonstrate that the Zipf-like pattern indeed widely exists in write traffic provided its disguises are removed by statistical processing. This finding implies that write skew in a large class of applications could be analytically expressed and, thus, facilitates design tradeoff explorations adaptive to workload characteristics.