PURPOSE: The study was done to examine whether consciousness of calling and life satisfaction have a mediating effect in the relationship between nursing students' purpose of life and their quality of life. METHODS: The participants were 171 nursing students studying in two colleges of nursing located in Chungcheong and Gyeonggi Province. Measurements included the purpose in life questionnaire, Korea-version WHOQOL-BREF questionnaire, brief calling scale and satisfaction with life scale. Data were analyzed using descriptive analysis and multiple regression techniques with SPSS 24.0. Mediation analysis was performed according to the Baron and Kenny method and Sobel test. RESULTS: There were significant correlations among purpose in life, consciousness of calling, satisfaction with life and quality of life. Consciousness of calling and satisfaction with life showed perfect mediating effects in the relationship between purpose in life and quality of life. CONCLUSION: In this study, nursing students' purpose in life had significant influences on nursing students' quality of life via calling consciousness and satisfaction with life. Therefore, to enhance quality of life for nursing students, it is necessary to build effective strategies and education programs to enhance nursing students' purpose in life, consciousness of calling and satisfaction with life.
Consciousness ; Education ; Gyeonggi-do ; Humans ; Methods ; Negotiating ; Nursing ; Quality of Life ; Students, Nursing

The purpose of this study was to examine 1) the relationship between the vegetable eating behavior of care givers and that of children, 2) the effectiveness of nutrition education with vegetable playing using direct visual stimulating programs on vegetable eating behavior of preschool children, and 3) the times and period of nutrition education with vegetable playing for significant changes on vegetable eating behavior. A total number of 56 individuals, aged 42 to 66 months old, participated in this study in which three kinds of vegetables (30 g)/meal were served per individual, and vegetable eating behavior was measured by the residue on the dish during 5 weeks (25 days). To the simple visual stimulating group, vegetable dish was served without education, and other groups included education 1 group (nutrition education 1 time/week), education 2 group (nutrition education 2 times/week), and education 3 group (nutrition education 3 times/week) with simple visual stimulation by the vegetable dish. The results showed 1) the significant relationship (P < 0.001) between the vegetable eating behavior of the care giver and that of children by analysis of the questionnaire, 2) the effectiveness of nutrition education using vegetable playing on vegetable eating behavior of preschool children (P < 0.05), and 3) the significant changes in vegetable eating behavior by the 3rd week in the education 3 group. This study shows that food neophobia caused behavior problems in children regarding vegetable eating and repeated exposure was able to reduce food neophobia.
Caregivers ; Child ; Child, Preschool ; Eating ; Education ; Feeding Behavior ; Humans ; Photic Stimulation ; Vegetables

Subjective life expectancy (SLE) is the predictive value of actual life expectancy. SLE has been notably associated with mortality. The 2006 Korean Longitudinal Study of Aging (KLoSA) representative sample of 10,254 Koreans aged over 45 years to assess the associations between factors of SLE. Descriptive analysis, correlations, and age-adjusted regression analyses were used to examine the relationship between SLE and demographic, socioeconomic, and health factors. We also linked the 2018 KLoSA death statistics to the 2006 data to evaluate the association between actuarial life expectancy and SLE. We found that chronic illnesses and limitations in activities of daily living affect the life expectancy of individuals. Marriage, gainful employment, and high educational qualifications increase life expectancy. People who exercise expect to live longer, while those who smoke and drink expect to live somewhat shorter lives. Better self-rated health is associated with higher SLE. People who own a house expect to live longer than non-owners, and individuals living in metropolitan cities and urban areas assume a longer life expectancy than those living in rural areas. Participants who died between 2006 and 2018 had previously predicted a lower life expectancy than those who survived until 2018. The results of the study suggest that current health status, health behaviors, socioeconomic status, and actual life expectancy showed significant associations with SLE in the expected directions. These findings imply that we could use SLE as a database of health status, health behavior, and actual life expectancy. This information could help us intervene and improve policies related to SLE.

BACKGROUND: This study was done to examine the impact of diabetes fear of self-injecting (FSI) and fear of self-testing (FST) on glycemic control and diabetes self-management. METHODS: A questionnaire survey was performed in the form of one-on-one interviews with 100 insulin-treated diabetic patients. The questions included subject traits, FSI/FST, and confidence in diabetes self-care (CIDS). Glycemic control was determined by the measurement of glycated hemoglobin (Hemoglobin A1C). RESULTS: The patients who did not have a spouse and were less well educated showed high FSI/FST scores and low CIDS scores. The patients who had taken high quantities of insulin, had diabetes related complications, and performed self-monitoring of blood glucose less frequently showed high FSI/FST scores. The patients who had received diabetes education, possessed glucometer and performed self-monitoring of blood glucose frequently had high CIDS scores. High FSI/FST scores were positively related to each other, negatively related to low CIDS scores and not significantly related to Hemoglobin A1C. On the other hand, a significant correlation was seen between CIDS scores and Hemoglobin A1C. CONCLUSION: High levels of FSI and/or FST were associated with high diabetes-related distress, poor general well-being, and psychologic comorbidity as well as poorer adherence to the diabetes treatment regimen. It is important in diabetes care to lower injection-related fears and improve diabetes self-management through systematic desensitization, relaxation therapy, the use of pen-type injection device, and proper education such as insulin injection amount adjustment, properties of insulin, and the risk of hypoglycemia for the patients and their families.
Blood Glucose ; Comorbidity ; Diabetes Complications ; Hand ; Hemoglobins ; Humans ; Hypoglycemia ; Insulin ; Relaxation Therapy ; Self Care ; Spouses ; Surveys and Questionnaires

Purpose: This study aimed to compare the effects of oral swab and non-swab using cold water gauze on patients’ thirst and oral status following nasal surgery under general anesthesia. Methods: A non-equivalent control group was applied. Participants were divided into a control group (n=30) that was treated by cared for with cold water gauze application without oral swab and an experimental group (n=29) that was treated cared for with oral swab using cold water gauze after nasal surgery at the G University Hospital in Korea. Data were collected from May 14, 2020, to April 30, 2021, and analyzed using descriptive statistics, a chi-squared test, independent t-test, Wilcoxon signed-ranks test, and Mann-Whitney test. Results: The results showed no significant differences between the two groups in thirst (U=-0.04, p=.693) and overall oral condition (U=-0.34, p=.813) after the intervention. However, participants’ thirst and oral condition were significantly improved in each group after intervention. Conclusions It was confirmed that both oral care methods reduced thirst and improved oral condition after nasal surgery. These findings indicate the need for intervention for patients’ thirst and oral condition after nasal surgery. Furthermore, they show that these oral care protocols can be used as a safe and effective nursing intervention for patients who undergo nasal surgery under general anesthesia.

Cavernous sinus (CS) lesion is hard to access by surgical approach. With the development of endovascular technique, neurointerventional therapy is an alternative modality for CS lesions. This endovascular technique has been widely used for the past decade, avoiding the risks associated with surgical treatment. However, complications can still arise from coil embolization. Although immediate complication associate with embolic event or mass effect has been well described, but delayed (>1 year from treatment) nerve palsy after coil embolization is rare. We report two cases of delayed cranial nerve palsy after successful endovascular coil embolization in CS lesion.

Cavernous sinus (CS) lesion is hard to access by surgical approach. With the development of endovascular technique, neurointerventional therapy is an alternative modality for CS lesions. This endovascular technique has been widely used for the past decade, avoiding the risks associated with surgical treatment. However, complications can still arise from coil embolization. Although immediate complication associate with embolic event or mass effect has been well described, but delayed (>1 year from treatment) nerve palsy after coil embolization is rare. We report two cases of delayed cranial nerve palsy after successful endovascular coil embolization in CS lesion.

Objectives: Nursing documentation consumes approximately 30% of nurses’ professional time, making improvements in efficiency essential for patient safety and workflow optimization. This study compares traditional nursing documentation methods with a generative artificial intelligence (AI)-based system, evaluating its effectiveness in reducing documentation time and ensuring the accuracy of AI-suggested entries. Furthermore, the study aims to assess the system’s impact on overall documentation efficiency and quality. Methods: Forty nurses with a minimum of 6 months of clinical experience participated. In the pre-assessment phase, they documented a nursing scenario using traditional electronic nursing records (ENRs). In the post-assessment phase, they used the SmartENR AI version, developed with OpenAI’s ChatGPT 4.0 API and customized for domestic nursing standards; it supports NANDA, SOAPIE, Focus DAR, and narrative formats. Documentation was evaluated on a 5-point scale for accuracy, comprehensiveness, usability, ease of use, and fluency. Results: Participants averaged 64 months of clinical experience. Traditional documentation required 467.18 ± 314.77 seconds, whereas AI-assisted documentation took 182.68 ± 99.71 seconds, reducing documentation time by approximately 40%. AI-generated documentation received scores of 3.62 ± 1.29 for accuracy, 4.13 ± 1.07 for comprehensiveness, 3.50 ± 0.93 for usability, 4.80 ± 0.61 for ease of use, and 4.50 ± 0.88 for fluency. Conclusions Generative AI substantially reduces the nursing documentation workload and increases efficiency. Nevertheless, further refinement of AI models is necessary to improve accuracy and ensure seamless integration into clinical practice with minimal manual modifications. This study underscores AI’s potential to improve nursing documentation efficiency and accuracy in future clinical settings.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.