The effect of an online-supervised exercise program in older people with diabetes on fasting blood sugar, psychological resilience and quality of life: A double blind randomised controlled trial

BACKGROUND

Online exercise interventions can improve physical outcomes. Online supervised exercise program is more effective than unsupervised exercise program.

OBJECTIVES

The aim of this study is to determine the effect of an online supervised exercise program on fasting blood glucose, body mass index (BMI), resilience and quality of life in older people with diabetes.

METHODS

This parallel group randomised controlled study included 70 older patients with Type 2 diabetes. Participants were divided into online supervised and unsupervised exercise training groups. Participants in the online-supervised exercise group were given an online-supervised exercise program 3 days a week for 6 weeks. Personal Information Form, Short Resilience Scale and Quality of Life Scale in Older People were used to collect data. In addition, fasting blood sugar BMI and values were measured.

RESULTS

According to the results of our study, while there was no significant difference between the pre-and post-training scores of the supervised and unsupervised groups on the Psychological Resilience Scale and Quality of Life Scale, it was observed that there was a significant difference in both groups according to time (p < .05). When the difference between the scores of the groups before and after the training was analysed according to time, a significant difference was observed between the online-supervised and unsupervised exercise groups (p < .05). In addition, it was seen that there was a significant difference in the fasting blood sugar and BMI results of the online-supervised exercise group according to time (p < .05).

CONCLUSIONS

Online supervised exercise program decreases fasting blood sugar and BMI, increases psychological resilience and quality of life of older patients with Type 2 diabetes.

IMPLICATION FOR PRACTICE

Online supervised exercise program may be an additional treatment that provides benefits for older people with diabetes who cannot participate in clinical-based rehabilitation programs.

A novel spherical fuzzy AHP-VIKOR methodology to determine serving petrol station selection during COVID-19 lockdown: A pilot study for İstanbul

COVID-19 pandemic has affected the entire world. During the Covid-19 pandemic, which is tried to be prevented by all countries of the world, regulations have been made to reduce the effect of the virus in sectors such as banking, tourism, and especially transportation. Social isolation is one of the most critical factors for people who have or are at risk of contracting COVID-19 disease. Many countries have developed different solutions to ensure social isolation. By applying lockdown for specific periods, preventing the movement of people will reduce the rate of transmission. However, some private and public institutions that have to serve during the lockdown period should be carefully determined. In this study, we aim to determine the petrol stations to serve during the COVID-19 lockdown, and this problem is handled as a multi-criteria decision-making problem. We extend the spherical fuzzy VlseKriterijumska Optimizacija IKompromisno Resenje (SF-VIKOR) method with the spherical fuzzy Analytic Hierarchy Process (SF-AHP). To show its applicability in complex decision-making problems, Istanbul is selected to perform a case study; thirteen petrol stations are evaluated as potential serving petrol station alternatives during the lockdown. Then, the novel SF-AHP integrated SF-VIKOR methodology is structured; the problem is solved with this methodology, and the best alternative is determined to serve in lockdown. Accessibility of the petrol station and Measures taken by station managers are determined to be essential for the effectiveness of the lockdown process. The neighborhood population and the station's proximity to hospitals are also critical inner factors to fight the pandemic. To test the methodology, Spherical Fuzzy the Weighted Aggregated Sum-Product Assessment (SF-WASPAS) is utilized. Public or private organizations can use the proposed methodology to improve their strategies and operations to prevent the spreading of COVID-19.

A novel distance learning ergonomics checklist and risk evaluation methodology: A case of Covid-19 pandemic

Many governments decided to cancel face-to-face teaching and learning activities in schools and universities. They replaced them with online teaching and distance learning activities to prevent the spread of Coronavirus disease 2019 (COVID-19). Due to this sudden change, students experienced some anthropometric, environmental, and psychosocial difficulties at home during the distance learning process. This study focuses on determining the importance of anthropometric, environmental, and psychosocial factors in the distance learning process during the COVID-19 pandemic. This study presents main factors and their subfactors affecting ergonomic conditions of university students during distance learning. A novel distance learning ergonomics checklist is proposed based on the Occupational Safety and Health Administration checklists. The data are collected via a questionnaire filled by 100 university students who attend the Ergonomics course online. Then, the integrated methodology includes Voting Analytic Hierarchy Process integrated Pythagorean Fuzzy Technique for Order Preference by Similarity to An Ideal Solution method is adopted to prioritize the factors determined. Thirty-nine different subfactors are evaluated under five titles, and the most important factors are determined using the proposed methodology. With the results achieved, it is seen that the suggested checklist and proposed methodology can be used by public and private education organizations as a guide for improving their distance learning strategies.