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: In this study factors affecting quality of life in mothers who have children with precocious puberty were identified. METHODS: The participants were 102 mothers of children with precocious puberty. From September 12 to September 30, 2016, data were collected using a structured questionnaire and analyzed using SPSS/WIN 22.0. RESULTS: Regression analysis showed that the model's explanatory power was 45%(F=28.71, p<.001). Role stress (t=-4.83, p<.001), objective burden (t=-2.71, p<.001), and average monthly income (t=4.12, p<.001) were factors affecting quality of life among these mothers. The most influential factor was role stress (β=-.41), which showed a negative correlation. CONCLUSION: Role stress and objective burden were major factors that decreased the quality of life in these. The findings indicate that effective strategy programs for reducing role stress and objective burden are necessary to improve the quality of life in mothers of children with precocious puberty.
Child* ; Humans ; Mothers* ; Puberty, Precocious* ; Quality of Life*

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: 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: 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: In this study a systematic review and meta-analysis investigated the impact of non-pharmacological interventions on major adverse cardiac events (MACE) in patients with coronary artery disease who underwent percutaneous coronary intervention (PCI). Methods: A literature search was performed using PubMed, Cochrane Library, EMBASE, and Cumulative Index to Nursing & Allied Health Literature databases up to November 2023. The risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool. Effect sizes and 95% confidence intervals were calculated using R software (version 4.3.2). Results: Eighteen randomized studies, involving 2,898 participants, were included.Of these, 16 studies with 2,697 participants provided quantitative data. Non-pharmacological interventions (education, exercise, and comprehensive) significantly reduced the risk of angina, heart failure, myocardial infarction, restenosis, cardiovascular-related readmission, and cardiovascular-related death. The subgroup meta-analysis showed that combined interventions were effective in reducing the occurrence of myocardial infarction (MI), and individual and group-based interventions had significant effects on reducing the occurrence of MACE. In interventions lasting seven months or longer, occurrence of decreased by 0.16 times, and mortality related to cardiovascular disease decreased by 0.44 times, showing that interventions lasting seven months or more were more effective in reducing MI and cardiovascular disease-related mortality. Conclusion Further investigations are required to assess the cost-effectiveness of these interventions in patients undergoing PCI and validate their short- and long-term effects. This systematic review underscores the potential of non-pharmacological interventions in decreasing the incidence of MACE and highlights the importance of continued research in this area (PROSPERO registration number: CRD42023462690).

This study aimed to explore the participation experiences of patients with type 2 diabetes in an Automated Personalized Self-Care program, assess the changes in self-care behavior and glycemic control, and evaluate the stages of change and readiness to change using the transtheoretical model (TTM). Methods: We examined 16 patients with type 2 diabetes who participated in a diabetes self-care program using a mobile application. Purposive sampling continued until data saturation. Using a mixed method study, we analyzed the participants’ characteristics, self-care behavior, stage of change, and readiness to change quantitatively and analyzed the qualitative data using Elo and Kyngas’s content analysis method. Results: The compliance group (CG) showed improved self-care behavior and glycemic control. In the CG, the proportion of participants in the action stage was higher in the exercise and diet domains and lower in the blood glucose testing and medication domains than in the non-compliance group (NCG). Readiness to change, motivation for health behaviors, and social motivation were higher in the CG, whereas personal motivation was higher in the NCG. In this qualitative study, three categories and 11 subcategories were identified. The findings suggest the CG regarded their experience in the program more frequently as positive, whereas the NCG perceived greater barriers to using the mobile application in the program. Conclusion: Based on the differences identified between the CG and NCG, TTM-based strategies are needed to facilitate the progression of NCG to the action stage.

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.

Treatment options for patients with chronic kidney disease (CKD) are currently limited; therefore, there has been significant interest in applying mesenchymal stem/stromal cell (MSC)-based therapy to treat CKD. However, MSCs harvested from CKD patients tend to show diminished viability and proliferation due to sustained exposure to uremic toxins in the CKD environment, which limits their utility for cell therapy. The application of melatonin has been demonstrated to improve the therapeutic efficacy of MSCs derived from and engrafted to tissues in patients suffering from CKD, although the underlying biological mechanism has not been elucidated. In this study, we observed overexpression of hexokinase-2 (HK2) in serum samples of CKD patients and MSCs harvested from an adenine-fed CKD mouse model (CKD-mMSCs). HK2 upregulation led to increased production levels of methylglyoxal (MG), a toxic metabolic intermediate of abnormal glycolytic processes. The overabundance of HK2 and MG was associated with impaired mitochondrial function and low cell proliferation in CKD-mMSCs. Melatonin treatment inhibited the increases in HK2 and MG levels, and further improved mitochondrial function, glycolytic metabolism, and cell proliferation. Our findings suggest that identifying and characterizing metabolic regulators such as HK2 in CKD may improve the efficacy of MSCs for treating CKD and other kidney disorders.