Purpose: This descriptive study investigated the influence of married nurses’ self-efficacy, parenting stress, and organizational culture on their health-promoting behaviors. Methods: Data were collected from 173 married nurses in G and B metropolitan city; the study was conducted from August to September 2019. Data were analyzed using the independent t-test, one-way ANOVA, Pearson correlation coefficient, and multiple regression with SPSS 18.0. Results: The most significant influencing factors on the health-promoting behavior of the subject were self-efficacy (β=.38, p<.001), followed by parenting stress (β=-.21, p=.002), education (β=-.20, p=.001), perceived health status (β=.19, p=.003) and the overall explanatory power was 42.0%. Conclusion Based on the results, an intervention program that can increase their self-efficacy and reduce parenting stress is needed, considering education level of married nurses and their perceived health status to be developed.

Purpose: The study aimed to determine the key factors influencing health-promoting behavior and the behavioral intentions of eHealth consumers based on the health promotion model and technology acceptance model. Methods: This research involved a longitudinal path analysis. The study was conducted with 360 eHealth consumers aged over 18 years, employed in the top five categories of the Korean standard classification of occupations, and living in the five largest cities in South Korea. The data were analyzed using SPSS 22.0 and AMOS 25.0. Results Health-promoting behaviors were directly supported by prior health-related behavior and behavioral intention, and indirectly supported by perceived ease of use, perceived usefulness, perceived benefit, self-efficacy, and behavioral intention. These variables accounted for 36.3% of the variance in health-promoting behavior. Conclusion: The findings serve as a framework that can help health professionals and health information providers understand how to encourage consumers using eHealth to engage in health-promoting behaviors.

This study aimed to explore older patients’ experiences of hospital life in long-term care hospitals without visitors. Methods: Data were collected through individual in-depth interviews with eight older patients hospitalized in long-term care hospitals and were analyzed using Colaizzi’s phenomenological method. Results: Four theme clusters extracted from older patients’ experiences were shabby oneself cut off from the outside world, a hospital that eventually became home, fear of death that will come one day, a self-reliant daily life with gathering body and mind. Conclusion: Through the results of this study, it was possible to deeply understand the experiences of older patients living in long-term care hospitals for a long time without visitors. Based on this, it is necessary to develop nursing interventions that can effectively support them, and active strategies are required to prevent their social disconnection and expand various social networks inside and outside the hospital.

Purpose: The study aimed to determine the key factors influencing health-promoting behavior and the behavioral intentions of eHealth consumers based on the health promotion model and technology acceptance model. Methods: This research involved a longitudinal path analysis. The study was conducted with 360 eHealth consumers aged over 18 years, employed in the top five categories of the Korean standard classification of occupations, and living in the five largest cities in South Korea. The data were analyzed using SPSS 22.0 and AMOS 25.0. Results Health-promoting behaviors were directly supported by prior health-related behavior and behavioral intention, and indirectly supported by perceived ease of use, perceived usefulness, perceived benefit, self-efficacy, and behavioral intention. These variables accounted for 36.3% of the variance in health-promoting behavior. Conclusion: The findings serve as a framework that can help health professionals and health information providers understand how to encourage consumers using eHealth to engage in health-promoting behaviors.

This study aimed to explore older patients’ experiences of hospital life in long-term care hospitals without visitors. Methods: Data were collected through individual in-depth interviews with eight older patients hospitalized in long-term care hospitals and were analyzed using Colaizzi’s phenomenological method. Results: Four theme clusters extracted from older patients’ experiences were shabby oneself cut off from the outside world, a hospital that eventually became home, fear of death that will come one day, a self-reliant daily life with gathering body and mind. Conclusion: Through the results of this study, it was possible to deeply understand the experiences of older patients living in long-term care hospitals for a long time without visitors. Based on this, it is necessary to develop nursing interventions that can effectively support them, and active strategies are required to prevent their social disconnection and expand various social networks inside and outside the hospital.

Purpose: The study aimed to determine the key factors influencing health-promoting behavior and the behavioral intentions of eHealth consumers based on the health promotion model and technology acceptance model. Methods: This research involved a longitudinal path analysis. The study was conducted with 360 eHealth consumers aged over 18 years, employed in the top five categories of the Korean standard classification of occupations, and living in the five largest cities in South Korea. The data were analyzed using SPSS 22.0 and AMOS 25.0. Results Health-promoting behaviors were directly supported by prior health-related behavior and behavioral intention, and indirectly supported by perceived ease of use, perceived usefulness, perceived benefit, self-efficacy, and behavioral intention. These variables accounted for 36.3% of the variance in health-promoting behavior. Conclusion: The findings serve as a framework that can help health professionals and health information providers understand how to encourage consumers using eHealth to engage in health-promoting behaviors.

This study aimed to explore older patients’ experiences of hospital life in long-term care hospitals without visitors. Methods: Data were collected through individual in-depth interviews with eight older patients hospitalized in long-term care hospitals and were analyzed using Colaizzi’s phenomenological method. Results: Four theme clusters extracted from older patients’ experiences were shabby oneself cut off from the outside world, a hospital that eventually became home, fear of death that will come one day, a self-reliant daily life with gathering body and mind. Conclusion: Through the results of this study, it was possible to deeply understand the experiences of older patients living in long-term care hospitals for a long time without visitors. Based on this, it is necessary to develop nursing interventions that can effectively support them, and active strategies are required to prevent their social disconnection and expand various social networks inside and outside the hospital.

Purpose: The study aimed to determine the key factors influencing health-promoting behavior and the behavioral intentions of eHealth consumers based on the health promotion model and technology acceptance model. Methods: This research involved a longitudinal path analysis. The study was conducted with 360 eHealth consumers aged over 18 years, employed in the top five categories of the Korean standard classification of occupations, and living in the five largest cities in South Korea. The data were analyzed using SPSS 22.0 and AMOS 25.0. Results Health-promoting behaviors were directly supported by prior health-related behavior and behavioral intention, and indirectly supported by perceived ease of use, perceived usefulness, perceived benefit, self-efficacy, and behavioral intention. These variables accounted for 36.3% of the variance in health-promoting behavior. Conclusion: The findings serve as a framework that can help health professionals and health information providers understand how to encourage consumers using eHealth to engage in health-promoting behaviors.

This study aimed to explore older patients’ experiences of hospital life in long-term care hospitals without visitors. Methods: Data were collected through individual in-depth interviews with eight older patients hospitalized in long-term care hospitals and were analyzed using Colaizzi’s phenomenological method. Results: Four theme clusters extracted from older patients’ experiences were shabby oneself cut off from the outside world, a hospital that eventually became home, fear of death that will come one day, a self-reliant daily life with gathering body and mind. Conclusion: Through the results of this study, it was possible to deeply understand the experiences of older patients living in long-term care hospitals for a long time without visitors. Based on this, it is necessary to develop nursing interventions that can effectively support them, and active strategies are required to prevent their social disconnection and expand various social networks inside and outside the hospital.

Claude's syndrome is a distinctive brainstem syndrome characterized by ipsilateral third cranial nerve palsy with contralateral hemiataxia and is due to an intrinsic or extrinsic lesion in the midbrain. We report a case of Claude's syndrome caused by neurocysticercosis infection. A 68 year-old Asian man was admitted to our hospital because of ataxia, left ptosis, and diplopia. Brain magnetic resonance imaging (MRI) showed a cystic lesion in the midbrain, which was surrounded by ring enhancement and peripheral edema. Neurocysticercosis infection was diagnosed by the cerebral spinal fluid study. The patient was treated with albendazole and steroids. A follow-up brain MRI three months later demonstrated the disappearance of a surrounding brain edema and rim enhancement. The most common cause of Claude's syndrome is cerebrovascular disease and malignancy. However, there is no report caused by neurocysticercosis infection. Therefore, if we encounter Claude's syndrome, we should consider neurocysticercosis infection as one of the etiologic factors.
Aged ; Albendazole/therapeutic use ; Brain/pathology ; Brain Stem Infarctions/complications/*diagnosis/*epidemiology ; Edema/pathology ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Neurocysticercosis/complications/*diagnosis/*epidemiology ; Steroids/therapeutic use