The study was conducted to determine the relationship between self-stigmatization and perceived social support in caregivers of schizophrenia with patient. A cross-sectional study design was used. The study sample consisted of 84 participants who cared for schizophrenic patients registered in a community mental health center. In the data collection, the ‘Self-stigmatizing Scale for Families’ and ‘Multidimensional Perceived Social Support Scale’ were used. The data were analyzed via frequency, mean, standard deviation, Cronbach’s alpha analysis, linear regression, Pearson correlation analysis, independent samples t-test, and ANOVA test. Self-stigmatization (32.48 ± 15.15) and perceived social support (44.36 ± 22.88) were found to be moderate in caregivers. Self-stigmatization was found to be higher in caregivers who do not work; have a spouse, mother, or father; have a disease; do not receive support from their family and have not received any education about schizophrenia (p < .05). It was determined that, with increasing age, perceived social support decreases, and the perception of social support increases in caregivers who are high school graduates, working, having children, have no illness, and are educated about schizophrenia (p < .05). It was determined that, as the level of perceived social support increases in caregivers, self-stigmatization decreases (p < .05). It was determined that, as the perceived social support increases in caregivers, self-stigmatization decreases. We recommend providing informative support about schizophrenia, to increase hope and social-skill training, and to implement interventions that include caregivers in the fight against stigma.

Aims: The aim of this study is to determine the psychological resilience and self‐efficacy levels of caregivers of individuals with Alzheimer's disease and to examine the effects of these variables on the caregiver burden.Design: A cross‐sectional, quantitative design was used.Methods: The study was conducted in the neurology outpatient clinic of a university hospital between March and July 2022. The sample of the study consisted of caregivers of 105 individuals diagnosed with Alzheimer's disease. Data were collected using the “Zarit Burden Interview,” the “Revised Scale for Caregiving Self‐Efficacy,” and the “Resilience Scale Short Form.” In the study, descriptive statistics and Pearson correlation analysis were employed, and the stepwise multiple regression model was applied.Results: It was determined that caregivers had a moderate to severe caregiving burden (43.57 ± 16.58) and a moderate level of psychological resilience (20.24 ± 5.96) and self‐efficacy (62.84 ± 15.96). The stepwise regression analysis results showed that a lower mini mental state score (β = −0.821; p < 0.001), low caregiver income status (β = −0.201; p < 0.008), inadequate social support (β = −0.155; p < 0.030), shorter duration of Alzheimer's disease diagnosis (β = −0.323; p < 0.001), advanced age (β = −0.299; p < 0.001), and prolonged caregiving (β = −0.216; p < 0.005) were the main predictors of caregiver burden. In addition, the levels of caregiver's self‐efficacy in obtaining respite (β = −0.340; p < 0.001), psychological resilience (β = −0.293; p < 0.001), and self‐efficacy in controlling upsetting thoughts (β = −0.240; p < 0.001) about caregiving predicted caregiver burden significantly.Conclusion: The resilience and self‐efficacy levels of caregivers predicted caregiver burden significantly. As the psychological resilience and self‐efficacy levels of caregivers increase, caregiver burden may decrease significantly.Patient or Public Contribution: Patient or Public Contribution: Interviews were conducted with the research participants to collect data. Our findings can be used to develop interventions and coping strategies to reduce the care burden of caregivers of individuals with Alzheimer's disease and to improve their resilience and self‐efficacy.Reporting Method: The results were reported in accordance with STROBE guidelines.

Aims: The aim of this study is to determine the levels of nurses’ fear of compassion for others, fear of compassion from others, and fear of self-compassion and to examine the effect of fear of compassion on caring behaviors. Design: A cross-sectional, quantitative design was used. Participants and research context: The study was conducted between October 2022 and April 2023 with 304 nurses working in two public hospitals. Data collection tools were the “Fears of Compassion Scales” and the “Caring Behaviors Inventory.” Data were analyzed using a t test, one-way ANOVA, Pearson correlation analysis, and stepwise multiple regression model. Ethical considerations: Ethics committee approval of the research was obtained from the non-invasive ethics committee of Kütahya Health Sciences University (Reference No: 25.05.2022/2022/06-19). The principles of the Declaration of Helsinki were followed in the study. The purpose of the research was explained to all participants, and their verbal/written informed consent was obtained. Results: The mean scores of nurses on fear of compassion for others and from others were at a moderate level, and their scores on fear of self-compassion were close to a moderate level. It was found that the level of nurses’ fear of compassion was related to their sociodemographic and professional variables. Fear of self-compassion, fear of compassion for others, and fear of compassion from others explained 33.5% of the total variance in caring behaviors. Conclusions: Nurses’ caring behaviors were shown to be more associated with fear of self-compassion than fear of compassion for others. Fear of compassion may be one of the barriers to compassionate care. Interventions that will reduce nurses’ fear of compassion may be one way to provide compassionate care. It is recommended to conduct awareness studies on self-compassion and accepting compassion from others in nurses.

Purpose: To determine mental health literacy (MHL) levels of older adults and the predictive factors of MHL. Method: This cross-sectional study was conducted between October and December 2022, with 410 older adults aged ≥65 years. A Personal Information Form and the Mental Health Literacy Scale were used for data collection. Independent samples t test, analysis of variance, and multiple linear regression were used to analyze the data. Results: Significant predictors of MHL in older adults were being aged 65 to 69 years, being female, being a university graduate, having an income more than expenses, receiving information from a health professional, interest in mental health, having friends or family members with mental illness, and good perception of health. Conclusion: Older adults were found to have low levels of MHL. Mental health professionals should focus on community-based education and interventions to increase the MHL levels of older adults. [ Journal of Psychosocial Nursing and Mental Health Services, 62 (10), 31–40.]