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This quasi-experimental, nonequivalent control group study developed an eight-session post-traumatic growth program for teachers who had experienced violence from students and/or parents and examined its effects on rumination, burnout, and post-traumatic growth. A convenience sample was recruited from 11 elementary schools in Jeonbuk province, South Korea. The experimental group (n = 27) participated in bi-weekly sessions over four weeks, whereas the control group (n = 27) read educational materials on post-traumatic growth during the same period. The experimental group exhibited significantly greater decreases in intrusive rumination and higher post-traumatic growth than the control group. The program could be an effective intervention to assist traumatized teachers. [ABSTRACT FROM AUTHOR]

This study examined the effects of a self-care intervention program on self-efficacy, dementia-preventive behavior, cognitive function, depression, and quality of life in elderly with mild cognitive impairment. The study employed a quasi-experimental study design using a nonequivalent control group pre-post. Data were analyzed using the chi-square test, independent t-test, and repeated-measures ANOVA. The results of the study showed that the program reduced dementia risk and strengthened self-care ability in older adults with MCI. [ABSTRACT FROM AUTHOR]

This study was performed to identify the factors influencing gender differences in sleep quality between men and women. A cross-sectional survey was conducted using a convenience sample of 300 young adults from three Korean universities. Participants were 20–40 years of age, used smartphones, and took no sleep medication. Participants completed questionnaires on sleep quality, exercise, stress, depression, and smart phone addiction. The predictors of sleep quality in men were coffee consumption, napping, depression, failure to engage in light exercise at least three times per week, being overweight, being in the potential smart phone addiction group, and being employed, which explained 30.2% of the variance. The predictors of sleep quality in women were education to college level or higher, smoking, and stress, which explained 30.5% of the variance. To improve sleep quality in this population, future intervention should contain life style modification strategies containing smartphone addiction prevention. [ABSTRACT FROM PUBLISHER]