PURPOSE: This study aimed to identify the effects of utilizing Smartphone Application Peer Support (SAPS) on health behavior and body mass index (BMI) among overweight or obese breast cancer survivors (BCS). METHODS: A nonequivalent control group with a non-synchronized design was utilized and 36 participants (experimental group 14, control group 22) were recruited from August 2017 to September 2018. Participants were 40~65 years old, overweight or obese, had completed primary cancer treatment within the 12 months prior to the study, and had not done regular exercise during the last 6 months. The 3-month SAPS consisted of exercise and diet education (once p/2 weeks), peer support (once p/week), and self-monitoring using smartphone applications (5 times p/week). All participants underwent assessments at baseline, right after SAPS, and at 3 months after SAPS. Data were analyzed using repeated measures ANOVA. RESULTS: At the completion of SAPS significant differences were found between groups in motivation for exercise (t=−3.24, p=.005), physical activity (t=−4.15, p<.001), total calorie intake (t=3.42, p=.002), calories from fat (t=−3.01, p=.005), intake of vegetables (t=−2.83, p=.008), and BMI (t=5.21, p<.001). Significant differences in BMI (t=4.13, p<.001) remained up to 3 months after SAPS completion. No significant differences was shown between groups in self-efficacy for exercise, either immediately after or 3 months after SAPS. CONCLUSION: The SAPS has the potential to improve motivation for exercise, health behavior, and BMI of BCS. However, special efforts are required to encourage participants to complete the intervention and maintain long-term effects for future trials.
Body Mass Index ; Breast Neoplasms ; Breast ; Diet ; Education ; Health Behavior ; Humans ; Motivation ; Motor Activity ; Overweight ; Peer Group ; Smartphone ; Survivors ; Vegetables

PURPOSE: This study aimed to identify the effects of utilizing Smartphone Application Peer Support (SAPS) on health behavior and body mass index (BMI) among overweight or obese breast cancer survivors (BCS). METHODS: A nonequivalent control group with a non-synchronized design was utilized and 36 participants (experimental group 14, control group 22) were recruited from August 2017 to September 2018. Participants were 40~65 years old, overweight or obese, had completed primary cancer treatment within the 12 months prior to the study, and had not done regular exercise during the last 6 months. The 3-month SAPS consisted of exercise and diet education (once p/2 weeks), peer support (once p/week), and self-monitoring using smartphone applications (5 times p/week). All participants underwent assessments at baseline, right after SAPS, and at 3 months after SAPS. Data were analyzed using repeated measures ANOVA. RESULTS: At the completion of SAPS significant differences were found between groups in motivation for exercise (t=−3.24, p=.005), physical activity (t=−4.15, p<.001), total calorie intake (t=3.42, p=.002), calories from fat (t=−3.01, p=.005), intake of vegetables (t=−2.83, p=.008), and BMI (t=5.21, p<.001). Significant differences in BMI (t=4.13, p<.001) remained up to 3 months after SAPS completion. No significant differences was shown between groups in self-efficacy for exercise, either immediately after or 3 months after SAPS. CONCLUSION The SAPS has the potential to improve motivation for exercise, health behavior, and BMI of BCS. However, special efforts are required to encourage participants to complete the intervention and maintain long-term effects for future trials.

Purpose: The study aimed to design and develop an automated personalized self-care (APSC) program for patients with type 2 diabetes mellitus. The secondary aim was to present a clinical protocol as a mixed-method research to test the program effects. Methods: The APSC program was developed in the order of analysis, design, implementation, and evaluation according to the software development life cycle, and was guided by the self-regulatory theory. The content validity, heuristics, and usability of the program were verified by experts and patients with type 2 diabetes mellitus. Results: The APSC program was developed based on goal setting, education, monitoring, and feedback components corresponding to the phases of forethought, performance/volitional control, and self-reflection of self-regulatory theory. Using the mobile application, the participants are able to learn from educational materials, monitor their health behaviors, receive weekly-automated personalized goals and feedback messages, and use an automated conversation system to solve the problems related to self-care. The ongoing two-year study utilizes a mixed method design, with 180 patients having type 2 diabetes mellitus randomized to receive either the intervention or usual care. The participants will be reviewed for self-care self-efficacy, health behaviors, and health outcomes at 6, 12, 18, and 24 months. Participants in the intervention group will be interviewed about their experiences. Conclusion The APSC program can serve as an effective tool for facilitating diabetes health behaviors by improving patients’ self-care self-efficacy and self-regulation for self-care. However, the clinical effectiveness of this program requires further investigation.

Purpose: This study aimed to evaluate the effects of health interventions using virtual reality (VR) on improving knowledge, attitudes, and skills; and inducing behavioral change among adolescents. Methods: This study is a systematic review and meta-analysis following PRISMA guidelines. We searched Cochrane, MEDLINE, Embase, CINAHL, Scopus, Web of Science, and Korean databases between database inception and April 10, 2021. Based on heterogeneity, a random- or fixed-effects model was used, as appropriate, to calculate effect sizes in terms of the standardized mean difference (SMD) and odds ratio (OR). Studies were selected if they verified the effects of health education using VR on adolescents; there was an appropriate control group; and if the effects of education were reported in terms of changes in knowledge, attitudes, skills, or behaviors. Results: This analysis included six studies (n = 1,086). The intervention groups showed greater responses in knowledge and attitudes (SMD = 0.57, 95% confidence interval (CI) [0.12 to 1.02]), skills related to health behavior (SMD = -0.45, 95% CI [-0.71 to -0.19]), and behavioral change after 12 months (OR = 2.36, 95% CI [1.03 to 5.41]). Conclusion The results confirm the effectiveness of health interventions using virtual reality (VR). Although the analysis include a small number of studies, a case can be made for health interventions using VR to be utilized as educational methods and strategies to prevent risky behaviors among adolescents.

Purpose: Preventing diabetic complications involves regular outpatient follow-up and maintaining low variability in hemoglobin A1c (HbA1c) levels. This study investigated the factors associated with diabetic complications, with a specific focus on the impact of regular outpatient follow-up and HbA1c variability, among patients with type 2 diabetes. Methods: The study design was secondary data analysis of electronic medical records from a university hospital in Korea. It included patients aged 40–79 with type 2 diabetes who were prescribed diabetes medication within three months of their first HbA1c test by an endocrinologist and were followed up for at least five years. Follow-up regularity, adjusted standard deviation of HbA1c levels, and diabetic complication indices were collected. Data were analyzed using the Chi-square test, independent t-test, repeated measures analysis of variance, and multiple regression analysis. Results: The study included 1566 patients. Lower follow-up regularity was observed in patients of older age, with comorbidities, diabetic complications, insulin treatment, a history of hospitalization, lower baseline estimated glomerular filtration rate (eGFR) and total cholesterol (TC), and higher HbA1c variability. Higher HbA1c variability was observed in younger patients without comorbidity but with insulin treatment, a history of hospitalization, higher baseline blood glucose (BG), HbA1c, TC, and triglyceride levels. HbA1c variability had the strongest influence on BG and HbA1c levels at the five-year follow-up. Baseline eGFR and TC were the most influential factors for their respective levels at the five-year follow-up. Follow-up regularity significantly affected BG, HbA1c, eGFR, and TC at five-year follow-up. Conclusions It has been shown that several variables besides regular follow-up and HbA1c variability have an influence. However, these are the two that can be corrected through nursing intervention and are important, so intervention on these is important.

Purpose: Evidence on non-pharmacological interventions for adolescents with type 1 diabetes is unclear. This review aimed to evaluate the effectiveness of non-pharmacological intervention in adolescents with type 1 diabetes. Methods: We conducted a search on databases from November 11 to 19, 2022, for randomized controlled trials for the effects of non-pharmacological intervention in adolescents with type 1 diabetes. To identify recent research trends, we included studies published from 2017 to November 2022. The risk of bias was assessed using the Cochrane risk-of-bias tool 2.0. To estimate the effect size, a meta-analysis was performed using RevMan 5.4 program and R Studio. Results: A total of 45 studies were included in the systematic review. Among those, 30 studies were included in the meta-analysis. Non-pharmacological interventions were significantly effective in improving Glycated hemoglobin (HbA1c) (standardized mean difference [SMD] = −0.26, 95% confidence interval [CI]: −0.42, −0.09), quality of life (SMD = 0.44, 95% CI: 0.13 to 0.76), and anxiety (SMD = −0.91, 95% CI: −1.26, −0.56). Subgroup analysis showed that duration of intervention was not a covariate related to HbA1c levels. Conclusions Non-pharmacological interventions have shown effectiveness in improving the HbA1c, quality of life, and anxiety in adolescents with type 1 diabetes. Future studies with more rigorous methodology are needed to confirm and strengthen the validity of these findings. Additionally, attention to changes in the lipid profile and self-care motivation among adolescents with type 1 diabetes is warranted.

Purpose: The purpose of this study was to investigate the nutritional intake status, according to the risk of diabetic complications in Type 2 diabetes patients. Methods: This was a secondary data analysis study that included 83 patients. The nutritional intake was assessed, using 24-hour dietary recall. The risk of diabetic complications was measured, using the Framingham Risk Score (FRS) and Michigan Neuropathy Screening Instrument Questionnaire (MNSIQ). The nutritional intake was analyzed using the CAN-pro 4.0 program. Data were analyzed using descriptive statistics, Chi-square test, and Independent t-test, using the SPSS WIN 26.0 program. Results: The mean FRS and MNSIQ scores for the participants was 14.46 ± 4.09 and 2.30 ± 2.22, respectively. Thirty two participants (38.6%) were in the high-risk groups for cardiovascular disease and peripheral neuropathy. The participants consumed high amounts of grain and low amounts of vegetables, fruits, and dairy products when compared to the recommended intake. However, the nutritional intake did not differ according to FRS or MNSIQ levels. Consumption of vegetables and fruits were significantly different between high and low risk groups of MNSIQ. Conclusion It is necessary to consider the composition of dietary intake to improve the imbalanced diet in Type 2 diabetes patients and prevent diabetic complications. Type 2 diabetes patients should reduce the intake of grains and sodium, and increase vegetable intake. More deliberate future studies are needed, to investigate the relationship between food intake and the risk status for diabetic complication.

Purpose: Providing continuous self-care support to the growing diabetes population is challenging. Strategies are needed to enhance engagement in self-care, utilizing innovative technologies for personalized feedback. This study aimed to assess the feasibility of the Automated Personalized Self-Care program among type 2 diabetes patients and evaluate its preliminary effectiveness. Methods: A parallel randomized pilot trial with qualitative interviews occurred from May 3, 2022, to September 27, 2022. Participants aged 40e69 years with type 2 diabetes and HbA1c ! 7.0% were recruited. The three-month program involved automated personalized goal setting, education, monitoring, and feedback. Feasibility was measured by participants' engagement and intervention usability. Preliminary effectiveness was examined through self-care self-efficacy, self-care behaviors, and health outcomes. Qualitative interviews were conducted with the intervention group. Results: A total of 404 patients were screened. Out of the 61 eligible patients, 32 were enrolled, resulting in a recruitment rate of 52.5%. Retention rates at three months were 84.2% and 84.6% in the intervention and control groups, respectively. Among the intervention group, 81.3% satisfied adherence criteria.Mobile application's usability scored 66.25, and participants' satisfaction was 8.06. Intention-to-treat analysis showed improvements in self-measured blood glucose testing, grain intake, and HbA1c in the intervention group. Qualitative content analysis identified nine themes. Conclusion Feasibility of the program was verified. A larger randomized controlled trial is needed to determine its effectiveness in self-care self-efficacy, self-care behaviors, and health outcomes among type 2 diabetes patients. This study offers insights for optimizing future trials assessing clinical effectiveness.

Background: As society becomes more complex, the incidence of mandibular fractures is increasing. This study aimed to analyze the incidence and type and identify etiological factors of mandibular fractures to use them in future treatments.Material and methodsData were collected from 224 patients who visited the department of oral and maxillofacial surgery at the Kyung Hee Medical Center dental hospital during a 6-year period (2016 to 2021). A logistic regression model was used for data analysis. Results: In a total of 224 patients, 362 fractures were appeared. The average age of the patients was 34.1 years, with the highest incidence in the 20s. And the ratio between male and female was 4.09:1. Symphysis fractures were the most prevalent of all patients (52.7%), followed by unilateral condyle (37.1%), angle (36.2%), bilateral condyle (9.4%), body (8%), and coronoid (2.2%). The most common cause of fracture was daily-life activity (57.6%), followed by violence (30.4%), traffic accidents (8.5%), and syncope (3.6%). Patients with symphysis fracture were at low risk (OR < 1) of angle, body, and unilateral condyle fractures. Similarly, patients with unilateral fracture were at low risk (OR < 1) of symphysis, angle, body, and others site fractures. In contrast, patient with bilateral condyle fracture were at high risk (OR > 1) of coronoid fractures. And younger patients were high risk of mandibular angle fractures. Conclusion Through this study, it was confirmed that etiological factors of mandibular fractures were like those of previous studies.

PURPOSE: Few studies have been investigated the in vivo efficacy of generic vancomycin products available outside of the United States. In this study, we aimed to compare the in vivo pharmacokinetics (PK) and pharmacodynamics (PD) of five generic vancomycin products available in Korea with those of the innovator.MATERIALS AND METHODS: The in vitro vancomycin purity of each product was examined using high-pressure liquid chromatography. Single-dose PK analyses were performed using neutropenic mice. The in vivo efficacy of vancomycin products was compared with that of the innovator in dose-effect experiments (25 to 400 mg/kg per day) using a thigh-infection model with neutropenic mice.RESULTS: Generic products had a lower proportion of vancomycin B (range: 90.3–93.8%) and a higher proportion of impurities (range: 6.2–9.7%) than the innovator (94.5% and 5.5%, respectively). In an in vivo single-dose PK study, the maximum concentration (C(max)) values of each generic were lower than that of the innovator, and the geographic mean area under the curve ratios of four generics were significantly lower than that of the innovator (all p<0.1). In the thigh-infection model, the maximum efficacies of generic products reflected in maximal effect (E(max)) values were not significantly different from the innovator. However, the PD profile curves of some generic products differed significantly from that of the innovator in mice injected with a high level of Mu3 (all p≤0.05).CONCLUSION: Some generic vancomycin products available in Korea showed inferior PK and PD profiles, especially in hetero-vancomycin-resistant mice infected with Staphylococcus aureus.