[The Structural Equation Model on Resilience of Breast Cancer Patients Receiving Chemotherapy].

PURPOSE: The purpose of this study was to construct and test a structural equation model on resilience of breast cancer patients receiving chemotherapy. METHODS: Participants were 204 patients with breast cancer who received chemotherapy treatment. They participated in a structured interview, which included social support, depression, symptom experience, self-efficacy, hope, resilience, and infection prevention behaviors. Data were analyzed using SPSS/WIN 20.0 and AMOS 18.0. RESULTS: Lower depression (γ=-.33, p=.020) and symptom experience (γ=-.31, p=.012) and higher self-efficacy (γ=.32, p=.005) and hope (γ=.48, p=.016) were influenced by higher social support. Greater resilience was influenced by lower symptom experience (ß=-.18, p=.016), higher self-efficacy (ß=.49, p=.023), and higher hope (ß=.46, p=.012), and these predictors explained 66.7% of variance in resilience. Greater resilience (ß=.54, p=.009) made an impact on greater infection prevention behaviors. Resilience mediated the relations of symptom experience (ß=-.10 p=.013), self-efficacy (ß=.27, p=.006) and hope (ß=.25, p=.009) with infection prevention behaviors. These predictors explained 24.9% of variance in infection prevention behaviors. CONCLUSION: The findings of the study suggest that breast cancer patientsw ith greater resilience who are receiving chemotherapy participate in increased infection prevention behaviors. Further research should be conducted to seek intervention strategies that improve breast cancer patients' resilience.

A comparison of oligonucleotide-based microarray and real-time PCR for the detection of sexually transmitted infections.

Many diagnostic methods for sexually transmitted infections (STIs) have been developed. Because various infection agents are associated with STIs, and because infected persons sometimes show no symptoms, the diagnosis of STIs using nucleic acid amplification tests(NAATs) has required not only simultaneous multi-targeting, but also sensitive detection. Here, we compare microarray and real-time PCR for the detection of three common STIs agents, Ureaplasma urealyticum, Mycoplasma genitalium, and Chlamydia trachomatis, using human urine samples. The detection results showed that microarray and real-time PCR technology are both effective tools for the detection of STI agents. In conclusion, real-time PCR detection offers more sensitivity and specificity than microarray, because of the quantitative method employed. But, microarray offers better performance, in terms of high-throughput and simultaneous multi-targeting.