The Effect of Mindfulness-Based Stress Reduction Counseling on Blood Glucose and Perceived Stress in Women with Gestational Diabetes.

OBJECTIVE: Gestational diabetes can cause maternal and neonatal morbidity. Psychological factors, especially stress, play a meaningful role in diabetes management. Therefore, the present study aimed to investigate the effect of Mindfulness-Based Stress Reduction counseling on blood sugar and perceived stress in women with gestational diabetes. METHODS: The present quasi-experimental interventional study was performed on 78 women with gestational diabetes. In the intervention group, a Mindfulness-Based Stress Reduction counseling program was conducted by the researcher in 8 sessions of 90 minutes twice a week. The Cohen stress questionnaire was filled in both groups. Also, fasting blood sugar and 2-hour blood sugar levels were measured in both groups. Statistical analysis was performed using the independent T-Test, the paired T-Test, the Mann-Whitney and Wilcoxon Tests using IBM SPSS Statistics for Windows version 20 version (IBM Corp., Armonk, NY, USA). RESULTS: The mean age of pregnant women in the intervention group was 28.84 ± 6.20 years old and 29.03 ± 5.42 years old in the control group. There was a significant mean difference between the fasting blood sugar score (p = 0.02; - 6.01; and - 11.46) and the 2-hour fasting blood sugar score (p < 0.001;12.35; and - 5.3) and the perceived stress score (p < 0.001; 35.57; and - 49.19) existed between the intervention and control groups after the intervention. CONCLUSION: The results of the present study showed that mindfulness-based stress reduction counseling is effective in reducing blood sugar levels and reducing perceived stress in women with gestational diabetes treated with diet.

A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping.

In this research, to predict landslide susceptibility mapping (LSM), we have studied and optimized an artificial neural network (ANN) by utilizing the backtracking search algorithm (BSA) as well as the Cuckoo optimization algorithm (COA). Multiple research studies have shown that ANN-based techniques can be used to figure out the LSM. Still, ANN computing models have big problems, like slow system learning and getting stuck in their local minimums. Optimization strategies may improve ANN performance results. Existing uses of the BSA and COA models in ANN training have not been used to map landslides, nor have the best ways to set up networks or other factors that affect this problem been examined. Consequently, the present research focuses on predicting landslide susceptibility for hazardous mapping using hybrid BSA and COA-based ANN algorithms (BSA-MLP and COA). A large data set was provided from an area in the province of Kurdistan, west of Iran, to provide training and testing datasets for the algorithms. All of the BSA and COA algorithms' parameters and weights, for instance, were fine-tuned to make the utmost accurate maps of landslide risk. The input dataset consists of elevation, slope angle, slope orientation, NDVI, fault tolerance, profile curvature, plan curvature, distance to the river, rainfall, far from the road, SPI, STI, TRI, TWI, land use, and geology; the output is landslide susceptibility value. In the testing phase, the AUC rose significantly from 0.701 to 0.864 for BSA-MLP and 0.738 to 0.822 for COA-MLP after using the abovementioned techniques. We have used the area under the curve (AUC) to evaluate how well the probabilistic models worked. In addition, the computed AUCs for the BSA-MLP available databases and the actual AUCs were 0.864, 0.857, 0.833, 0.778, 0.777, 0.769, 0.763, 0.758, 0.727, and 0.701 and 0.822, 0.808, 0.807, 0.805, 0.804, 0.777, and 0.769 for the COA-MLP combination. The integrated models can produce beneficial results for this area of research. The results suggest that the BSA-ANN model is better than the COA-ANN in optimizing an artificial neural network model's structure and computational parameters. The collected landslide susceptibility maps are significant for figuring out how dangerous landslides are in the studied area.

The Effect of Mindfulness-Based Stress Reduction Counseling on Blood Glucose and Perceived Stress in Women with Gestational Diabetes / O efeito do aconselhamento para redução do estresse baseado na atenção plena sobre a glicose no sangue e o estresse percebido em mulheres com diabetes gestacional

Abstract Objective Gestational diabetes can cause maternal and neonatal morbidity. Psychological factors, especially stress, play a meaningful role in diabetes management. Therefore, the present study aimed to investigate the effect of Mindfulness-Based Stress Reduction counseling on blood sugar and perceived stress in women with gestational diabetes. Methods The present quasi-experimental interventional study was performed on 78 women with gestational diabetes. In the intervention group, a Mindfulness-Based Stress Reduction counseling program was conducted by the researcher in 8 sessions of 90 minutes twice a week. The Cohen stress questionnaire was filled in both groups. Also, fasting blood sugar and 2-hour blood sugar levels were measured in both groups. Statistical analysis was performed using the independent T-Test, the paired T-Test, the Mann-Whitney and Wilcoxon Tests using IBM SPSS Statistics for Windows version 20 version (IBM Corp., Armonk, NY, USA). Results The mean age of pregnant women in the intervention group was 28.84 ± 6.20 years old and 29.03 ± 5.42 years old in the control group. There was a significant mean difference between the fasting blood sugar score (p= 0.02; - 6.01; and - 11.46) and the 2-hour fasting blood sugar score (p< 0.001;12.35; and - 5.3) and the perceived stress score (p< 0.001; 35.57; and - 49.19) existed between the intervention and control groups after the intervention. Conclusion The results of the present study showed that mindfulness-based stress reduction counseling is effective in reducing blood sugar levels and reducing perceived stress in women with gestational diabetes treated with diet.

The effect of cognitive behavior therapy on attitude of infertile individuals toward child adoption.

Background: Infertility is one of the most important life-threatening crises that will cause serious psychological problems and serious stressful experiences for couples. Granting the parenting of neglected children can benefit both infertile couples and those children. Purpose: The study aimed to investigate the effect of Cognitive-Behavioral Counseling (CBT) on the attitude of infertile individuals towards child adoption. Methods: It is a clinical trial study. Forty samples were determined in each case and control group. Five 90-minute cognitive-behavioral counseling sessions were held for the intervention group. Control group participants were on the waiting list. Data were reported based on frequency distribution, central distribution, dispersion, Wilcoxon, and paired T-test. The level of significance was set at p < 0.05. Findings: Participants in this study had a mean age of 32.5 years old, the mean years without children was 6.29 years, most of them had higher education. The majority of individuals in the control and intervention groups referred more than once to treat infertility. Based on the current study results, the attitude score of the intervention group before the consultation was 100.74, and it was 112.46 after counseling (p = 0.046). Moreover, the score of attitudes toward adoption after counseling in the control group was 97.10 and 112.46 in the intervention group (p < 0.001). Conclusions: CBT has been influential on the attitude of infertile people towards adoption.