Purpose: This study aimed to explore the relationship between digital health literacy, self-efficacy, and self-care behaviors, and to identify the effects of digital health literacy and self-efficacy on self-care behaviors among the community-dwelling elderly. Methods: This descriptive study used self-reported questionnaires and was conducted from January to April 2024. This study included 197 participants aged 65 or older, residing in nine cities and counties within Gyeongsangbuk-do. Data were analyzed using SPSS/WIN 23.0, employing descriptive statistics, t-test, One-way ANOVA, Scheffé tests, Pearson correlation coefficients, and hierarchical regression analysis. Results: The average scores were as follows: digital health literacy, 21.97±8.38 (out of 40 points); self-efficacy, 3.27±0.72 (out of 5 points); and self-care behaviors, 70.22±10.55 (out of 96 points). Self-efficacy (β=.32, p<.001) was identified as the primary factor influencing self-care behaviors. Additionally, job (β=-.20, p=.002) and gender (β=-.18, p=.007) were also significant factors. These factors explained 22.8% of the variance of self-care behaviors. Conclusion Based on the above study results, we found that to promote self-care behaviors of community-dwelling elderly people, developing and implementing training programs that enhance self- efficacy are imperative. Furthermore, efforts should be made to overcome regional disparities by developing and implementing various policies and programs at the government, local government, and community levels to enhance the digital health literacy of the elderly.

Purpose: This study aimed to explore the relationship between digital health literacy, self-efficacy, and self-care behaviors, and to identify the effects of digital health literacy and self-efficacy on self-care behaviors among the community-dwelling elderly. Methods: This descriptive study used self-reported questionnaires and was conducted from January to April 2024. This study included 197 participants aged 65 or older, residing in nine cities and counties within Gyeongsangbuk-do. Data were analyzed using SPSS/WIN 23.0, employing descriptive statistics, t-test, One-way ANOVA, Scheffé tests, Pearson correlation coefficients, and hierarchical regression analysis. Results: The average scores were as follows: digital health literacy, 21.97±8.38 (out of 40 points); self-efficacy, 3.27±0.72 (out of 5 points); and self-care behaviors, 70.22±10.55 (out of 96 points). Self-efficacy (β=.32, p<.001) was identified as the primary factor influencing self-care behaviors. Additionally, job (β=-.20, p=.002) and gender (β=-.18, p=.007) were also significant factors. These factors explained 22.8% of the variance of self-care behaviors. Conclusion Based on the above study results, we found that to promote self-care behaviors of community-dwelling elderly people, developing and implementing training programs that enhance self- efficacy are imperative. Furthermore, efforts should be made to overcome regional disparities by developing and implementing various policies and programs at the government, local government, and community levels to enhance the digital health literacy of the elderly.

Purpose: This study aimed to explore the relationship between digital health literacy, self-efficacy, and self-care behaviors, and to identify the effects of digital health literacy and self-efficacy on self-care behaviors among the community-dwelling elderly. Methods: This descriptive study used self-reported questionnaires and was conducted from January to April 2024. This study included 197 participants aged 65 or older, residing in nine cities and counties within Gyeongsangbuk-do. Data were analyzed using SPSS/WIN 23.0, employing descriptive statistics, t-test, One-way ANOVA, Scheffé tests, Pearson correlation coefficients, and hierarchical regression analysis. Results: The average scores were as follows: digital health literacy, 21.97±8.38 (out of 40 points); self-efficacy, 3.27±0.72 (out of 5 points); and self-care behaviors, 70.22±10.55 (out of 96 points). Self-efficacy (β=.32, p<.001) was identified as the primary factor influencing self-care behaviors. Additionally, job (β=-.20, p=.002) and gender (β=-.18, p=.007) were also significant factors. These factors explained 22.8% of the variance of self-care behaviors. Conclusion Based on the above study results, we found that to promote self-care behaviors of community-dwelling elderly people, developing and implementing training programs that enhance self- efficacy are imperative. Furthermore, efforts should be made to overcome regional disparities by developing and implementing various policies and programs at the government, local government, and community levels to enhance the digital health literacy of the elderly.

Purpose: This study aimed to explore the relationship between digital health literacy, self-efficacy, and self-care behaviors, and to identify the effects of digital health literacy and self-efficacy on self-care behaviors among the community-dwelling elderly. Methods: This descriptive study used self-reported questionnaires and was conducted from January to April 2024. This study included 197 participants aged 65 or older, residing in nine cities and counties within Gyeongsangbuk-do. Data were analyzed using SPSS/WIN 23.0, employing descriptive statistics, t-test, One-way ANOVA, Scheffé tests, Pearson correlation coefficients, and hierarchical regression analysis. Results: The average scores were as follows: digital health literacy, 21.97±8.38 (out of 40 points); self-efficacy, 3.27±0.72 (out of 5 points); and self-care behaviors, 70.22±10.55 (out of 96 points). Self-efficacy (β=.32, p<.001) was identified as the primary factor influencing self-care behaviors. Additionally, job (β=-.20, p=.002) and gender (β=-.18, p=.007) were also significant factors. These factors explained 22.8% of the variance of self-care behaviors. Conclusion Based on the above study results, we found that to promote self-care behaviors of community-dwelling elderly people, developing and implementing training programs that enhance self- efficacy are imperative. Furthermore, efforts should be made to overcome regional disparities by developing and implementing various policies and programs at the government, local government, and community levels to enhance the digital health literacy of the elderly.

Purpose: This study aimed to explore the relationship between digital health literacy, self-efficacy, and self-care behaviors, and to identify the effects of digital health literacy and self-efficacy on self-care behaviors among the community-dwelling elderly. Methods: This descriptive study used self-reported questionnaires and was conducted from January to April 2024. This study included 197 participants aged 65 or older, residing in nine cities and counties within Gyeongsangbuk-do. Data were analyzed using SPSS/WIN 23.0, employing descriptive statistics, t-test, One-way ANOVA, Scheffé tests, Pearson correlation coefficients, and hierarchical regression analysis. Results: The average scores were as follows: digital health literacy, 21.97±8.38 (out of 40 points); self-efficacy, 3.27±0.72 (out of 5 points); and self-care behaviors, 70.22±10.55 (out of 96 points). Self-efficacy (β=.32, p<.001) was identified as the primary factor influencing self-care behaviors. Additionally, job (β=-.20, p=.002) and gender (β=-.18, p=.007) were also significant factors. These factors explained 22.8% of the variance of self-care behaviors. Conclusion Based on the above study results, we found that to promote self-care behaviors of community-dwelling elderly people, developing and implementing training programs that enhance self- efficacy are imperative. Furthermore, efforts should be made to overcome regional disparities by developing and implementing various policies and programs at the government, local government, and community levels to enhance the digital health literacy of the elderly.

BACKGROUND: Overexpression of heat shock protein 70 (HSP70) has been observed in many types of cancer including gastric adenocarcinomas, although the exact role of HSP70 in carcinogenesis remains unclear. METHODS: The study analyzed a total of 458 radical gastrectomy specimens which were immunohistochemically stained with HSP70, p53, and Ki-67 antibodies. RESULTS: The study determined that the expression of HSP70 was significantly increased in early gastric cancer (EGC) compared to advanced gastric cancer (p<0.001). The HSP70 expression was correlated with well-differentiated tumor type, intestinal type of Lauren classification and the lower pT and pN stage. Negative expression of Ki-67 and p53 expression was associated with poor prognosis. The study did not find any correlation between HSP70 and p53 expression. The study determined that HSP70 expression in the EGC subgroup was associated with a poor prognosis (p=0.009), as well as negative Ki-67 expression (p=0.006), but was not associated with p53. Based on multivariate analysis, HSP70 expression (p=0.024), negative expression of Ki-67, invasion depth and lymph node metastasis were determined to be independent prognostic markers. CONCLUSIONS: HSP70 is expressed in the early stages of gastric adenocarcinoma. In EGC, HSP70 is a poor independent prognostic marker and is correlated with a low proliferation index.
Adenocarcinoma ; Gastrectomy ; Heat-Shock Proteins ; Hot Temperature ; HSP70 Heat-Shock Proteins ; Ki-67 Antigen ; Lymph Nodes ; Multivariate Analysis ; Neoplasm Metastasis ; Prognosis ; Stomach Neoplasms

Purpose: This study aimed to develop and assess the feasibility and effectiveness of digital therapeutics for supportive care after gastrectomy.Materials and Method: The study included 39 patients with gastric cancer who underwent minimally invasive gastrectomy and were able to use a mobile application (app) on their smartphones. The developed research app automatically calculates and provides daily targets for calorie and protein intake based on the patient’s body mass index (BMI). Patients recorded their daily diets, weights, and symptoms in the app and completed special questionnaires to assess the feasibility of the app in real-world clinical practice. Results: At the 10-week follow-up, the mean questionnaire scores for ease of learning, usability, and effectiveness of the app (primary endpoint) were 2.32±0.41, 2.35±0.43, and 2.4±0.39 (range: 0–3), respectively. Patients were classified as underweight (<18.5, n=4), normal (18.5–24.9, n=24), or overweight (≥25.0, n=11) according to predischarge BMI.Underweight patients showed higher compliance with app usage and a higher rate of achieving the target calorie and protein intake than normal weight and overweight patients (98% vs. 77% vs. 81%, p=0.0313; 102% vs. 75% vs. 61%, P=0.0111; 106% vs. 79% vs. 64%, P=0.0429). Two patients transitioned from underweight to normal weight (50.0%), one patient (4.3%) transitioned from normal weight to underweight, and two patients (22.2%) transitioned from overweight to normal weight. Conclusions The mobile app is feasible and useful for postoperative supportive care in terms of ease of learning, usability, and effectiveness. Digital therapeutics may be an effective way to provide supportive care for postgastrectomy patients, particularly in terms of nutrition.

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients. Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed regression models were used to investigate the associations between their characteristics and the IVT candidates or the use of IVT among the candidates. Results: Among 84,103 AIS patients, 41.0% were female, with a mean age of 69 ± 13 years and presentation NIHSS of 4 [interquartile range, 1–8]. Out of these patients, 13,757 (16.4%) were eligible for IVT, of whom 8,179 (59.5%) received IVT. Female sex (adjusted risk ratio [RR], 0.90; 95% confidence interval [CI], 0.86–0.94) and lower years of education (adjusted RR, 0.90; 95% CI, 0.84–0.97 for 0–3 years, compared to ≥ 13 years) were associated with a decreased likelihood of presenting as eligible for IVT after AIS; meanwhile, young age (adjusted RR, 1.12; 95% CI, 1.01–1.24 for ≤ 44 years, compared to 75–84 years) was associated with an increased likelihood of being an IVT candidate. Among those who were eligible for IVT, only age was significantly associated with the use of IVT (adjusted RR, 1.09; 95% CI, 1.03–1.16 for age 65–74 and adjusted RR, 0.83; 95% CI, 0.76–0.90 for ≥ 85 years, respectively). Conclusion Most patients with AIS present outside IVT eligibility in South Korea, and only 60% of eligible patients were ultimately treated. We identified increased age, female sex and lower education as key features on which to focus interventions for improving IVT utilization.

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients. Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed regression models were used to investigate the associations between their characteristics and the IVT candidates or the use of IVT among the candidates. Results: Among 84,103 AIS patients, 41.0% were female, with a mean age of 69 ± 13 years and presentation NIHSS of 4 [interquartile range, 1–8]. Out of these patients, 13,757 (16.4%) were eligible for IVT, of whom 8,179 (59.5%) received IVT. Female sex (adjusted risk ratio [RR], 0.90; 95% confidence interval [CI], 0.86–0.94) and lower years of education (adjusted RR, 0.90; 95% CI, 0.84–0.97 for 0–3 years, compared to ≥ 13 years) were associated with a decreased likelihood of presenting as eligible for IVT after AIS; meanwhile, young age (adjusted RR, 1.12; 95% CI, 1.01–1.24 for ≤ 44 years, compared to 75–84 years) was associated with an increased likelihood of being an IVT candidate. Among those who were eligible for IVT, only age was significantly associated with the use of IVT (adjusted RR, 1.09; 95% CI, 1.03–1.16 for age 65–74 and adjusted RR, 0.83; 95% CI, 0.76–0.90 for ≥ 85 years, respectively). Conclusion Most patients with AIS present outside IVT eligibility in South Korea, and only 60% of eligible patients were ultimately treated. We identified increased age, female sex and lower education as key features on which to focus interventions for improving IVT utilization.

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients. Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed regression models were used to investigate the associations between their characteristics and the IVT candidates or the use of IVT among the candidates. Results: Among 84,103 AIS patients, 41.0% were female, with a mean age of 69 ± 13 years and presentation NIHSS of 4 [interquartile range, 1–8]. Out of these patients, 13,757 (16.4%) were eligible for IVT, of whom 8,179 (59.5%) received IVT. Female sex (adjusted risk ratio [RR], 0.90; 95% confidence interval [CI], 0.86–0.94) and lower years of education (adjusted RR, 0.90; 95% CI, 0.84–0.97 for 0–3 years, compared to ≥ 13 years) were associated with a decreased likelihood of presenting as eligible for IVT after AIS; meanwhile, young age (adjusted RR, 1.12; 95% CI, 1.01–1.24 for ≤ 44 years, compared to 75–84 years) was associated with an increased likelihood of being an IVT candidate. Among those who were eligible for IVT, only age was significantly associated with the use of IVT (adjusted RR, 1.09; 95% CI, 1.03–1.16 for age 65–74 and adjusted RR, 0.83; 95% CI, 0.76–0.90 for ≥ 85 years, respectively). Conclusion Most patients with AIS present outside IVT eligibility in South Korea, and only 60% of eligible patients were ultimately treated. We identified increased age, female sex and lower education as key features on which to focus interventions for improving IVT utilization.