Psycho-educational interventions are not a substitute for analgesics, but they may serve as adjuvant therapy. Nurses can provide psychoeducational programmes to cancer patients to assist them in optimizing behavior that strengthen adjustment. The aim here was to determine the effects of psychoeducation on levels of adjustment to cancer in stage I-II breast cancer patients who met the study criteria (experimental group: 38 women, control group:38 women). The psychoeducational program consisted of eight 90 minute weekly sessions and data were collected using a questionnaire and the Mental Adjustment to Cancer Scale three times: before, six weeks and six months after the intervention. Data analysis was performed using descriptive statistical methods as well as the Chi square test, the Mann Whitney U test, repeated measures analysis of variance, the matched pairs t test and the Post Hoc Bonferroni test. The results at 6 weeks and 6 months after the program revealed that the experimental group had higher levels of "fighting spirit", lower levels of "helplessness/hopelessness, anxious preoccupation and fatalism" but there was no significant change in levels of "avoidance/denial" compared to the control group with regard to adjustment to cancer. In this study, psychoeducation was shown to cause positive changes in levels of adjustment to cancer in breast cancer patients

Background: The smart phone contains various mobile applications specifically targeting their contents, such as information, messages, e-mail, education and entertainment towards youths. Problematic and excessive smart phone usage can cause many health problems including anxiety, depression and sleep disorders. Aims: The aim of this study is to analyse the relationship between smart phone usage, sleep quality and depression. Methods: Eight hundred and four students who owned smart phones were given the Information Form, Smart Phone Addiction Scale-Short Version, Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Inventory (BDI). The descriptive statistics, independent sample t-test, one-way ANOVA, correlation analysis and multivariate regression analysis were used for analysis data. Results: The mean age of the students in the sample was 20.93 ± 2.44. It comprised female (65.0%) and male (35.0%) students. All of the students used smart phones. The daily smart phone usage duration was 7.85 ± 4.55 hour. According to the multivariate linear regression analysis results, significant relationships were statistically determined in the positive way between the smart phone addiction and PSQI point ( p  < .01) and BDI point ( p  < .01). Conclusion: Consequently, a relationship exists between smart phone usage, poor sleep quality and depressive symptoms in university students. The university students, whose depression point is high and sleep quality is poor, should be followed up with regarding the smart phone addiction.

This study was conducted with 158 nursing students using the Homosexuality Attitudes Scale as a descriptive and explorative study to determine the attitudes of nursing students towards lesbians and gay males and the affecting factors. As a result, it was found that the students' attitudes were moderately homophobic; stronger religious belief, conversing with others about homosexuality and the idea of making friends with lesbians and gay males positively affected this attitude. It is thought that this study will help increase the awareness of working nurses and students at the school of nursing towards lesbians and gay males.

The study was conducted for the purpose of determining the attitudes of nursing and midwifery students toward domestic violence against women. Target population of the cross-sectional study consisted of all nursing and midwifery students receiving education in Kafkas University Faculty of Health Sciences in the 2016-2017 academic year (N=859). In the study, no sample was selected and valid results were obtained from 522 of the students (60.8%). The data were collected with a questionnaire form and the Attitude toward Violence Scale. In the analysis of the data; Mann Whitney U, Kruskal Wallis tests and Spearman's rho Correlation analysis were used besides descriptive analyses. The scale score averages were found as follows;

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