The importance of physical activity in management of type 2 diabetes and COVID-19

Physical activity guidelines for adults with type 2 Diabetes: Systematic review

AIMS

The aim of this study was to systematically review recommendations on physical activity for adults with type 2 diabetes (T2D).

METHODS

Online databases were searched for clinical practice guidelines (CPGs), statements, and recommendations. Two authors screened the guidelines based on eligibility criteria. FITT (Frequency, Intensity, Time, Type) for physical activity and disease-specific precautions were extracted independently. The methodological quality of CPGs was assessed using the AGREE II instrument. Recommendations were categorized according to FITT, with disease-specific adaptations also recorded.

RESULTS

Fifteen guidelines were included. Nine underwent AGREE II evaluation, with three rated high quality and the rest moderate to low. The predominant recommendation was to engage in at least 150 min of moderate aerobic exercise per week. Adaptations for T2D focused on glucose levels, diet, foot care, weather conditions, sedentary behaviour, neuropathy, and retinopathy.

CONCLUSION

While guidelines consistently recommended aerobic exercise, there was limited emphasis on strength and flexibility exercises. Significant limitations in methodological and reporting quality were noted, especially in stakeholder involvement and applicability. Future guidelines should use a standardized FITT framework and adhere to standard development methods to enhance usability for healthcare professionals and patients.

Depressive symptom trajectory of older adults with diabetes: exploring the role of physical activities using latent growth modeling

OBJECTIVES

The literature highlights the role of physical activities in reducing depression, primarily in clinical samples and international longitudinal studies on older adults with diabetes. Based on Andersen's Behavioral Model, this study aims to describe the trajectory of depressive symptoms in this population and examine whether physical activities are associated with this trajectory.

METHODS

This study used a longitudinal survey design, utilizing three waves of data from the Health and Retirement Study. The respondents were adults aged 50 or older (N = 4,278) with diabetes. After conducting descriptive analyses, latent growth modeling was performed including unconditional and conditional models.

RESULTS

The overall trajectory of depressive symptoms in adults with diabetes decreased over a 4-year period. Physical activities were significantly associated with the variance in the intercept of the trajectory (p < .05), but not associated with the variance in the slope (p > .05). Additionally, this study identified factors significantly associated with the variance in the intercept (e.g. age, gender, race, marriage, education, income, self-reported health) or the slope (e.g. race, marriage, education, self-reported health) of the depressive symptom trajectory (p < .05).

CONCLUSION

The findings underscore the importance of implementing targeted interventions to encourage and promote physical activities among older adults with diabetes, recognizing the potential benefits for managing their mental health.

Cardiometabolic, functional, and psychosocial effects of a remotely supervised home-based exercise program in individuals with type 2 diabetes (RED study): study protocol for a randomized clinical trial

BACKGROUND

Type 2 diabetes mellitus (T2D) is a serious global health problem, and exercise is considered an essential non-pharmacological tool in T2D prevention and treatment. During periods of social isolation experienced by the COVID-19 pandemic, home-based exercise programs were strongly recommended as a strategy to facilitate exercise practice and reduce the negative impacts of social isolation. Remotely supervised exercise stands out as an easily accessible strategy after the pandemic, as it is a tool that aims to facilitate access to exercise by this population. The purpose of the RED study is to verify the effects of a remotely supervised home-based exercise program compared to a control group on cardiometabolic, functional, and psychosocial outcomes in patients with T2D.

METHODS

Participants are randomized into the control group (CG) and the intervention group (IG). Participants allocated to the CG receive recommendations for the practice of physical activity based on information from chapters of the Physical Activity Guide for the Brazilian Population, while the IG will perform a 12-week home-based exercise program supervised remotely by video call. The intervention has a weekly frequency of two sessions per week on non-consecutive days during the first 6 weeks and three sessions per week on non-consecutive days for the remaining 6 weeks. The RED study has HbA1c as the primary outcome, and the participants' cardiometabolic, functional, and psychosocial parameters are assessed at baseline (week 0) and post-intervention (week 13).

DISCUSSION

Expected results of the proposed study will provide the knowledge base of health professionals and deliver more evidence for a growing area, i.e., home-based exercise and T2D. Additionally, this protocol aims to verify and demonstrate whether this program can be accessible and effective for different health outcomes in patients with T2D.

TRIAL REGISTRATION

The RED study protocol was prospectively registered at ClinicalTrials.gov (NCT05362071). Date registered April 6, 2022. https://clinicaltrials.gov/ct2/show/NCT05362071 .

Intervention Effects of Physical Activity on Type 2 Diabetic Patients Potentially Infected with COVID-19

The coronavirus disease 2019 (COVID-19) pandemic has clearly had a great influence on the lifestyles of the population, especially on patients with type 2 diabetes mellitus. During the COVID-19 outbreak, many countries/regions implemented social-isolation measures, leading to an increase in negative behaviors and impairing the capability of diabetic patients to resist COVID-19, ultimately causing severe prognoses. Moreover, as the epidemic progressed, multiple studies emphasized the significance of physical exercise in the management of type 2 diabetic patients infected with COVID-19. In this study, we selected research from 1 December 2019 to 9 August 2023 that focused on COVID-19-infected diabetic patients to investigate the impact of type 2 diabetes on the immune functions, inflammation factor levels, lung injuries, and mental disorders of such patients, as well as to assess the risk of novel coronavirus pneumonia in these patients. Additionally, the effects of high-intensity, moderate-intensity, and low-intensity exercises on novel coronavirus pneumonia infection in type 2 diabetic patients and the mechanisms of the effects of such exercise were considered. We concluded that elderly diabetic patients with COVID-19 should perform low-intensity exercises to facilitate their recoveries. This study offers guidance for a proper understanding of the dangers of diabetes and the use of appropriate measures to reduce the risk of novel coronavirus pneumonia infections in type 2 diabetic patients.

The effectiveness of COVID-19 vaccination against all-cause mortality in patients with type 2 diabetes mellitus: the observation during the initial period of the cancellation of the "Dynamic Zero Policy" in mainland China

AIMS

This study aims to assess the effectiveness of COVID-19 vaccination against all-cause death in patients with type 2 diabetes mellitus (T2DM).

METHODS

Subjects were patients with T2DM who were administered by general practitioner (GP). Use electronic exchange platform to obtain the information on COVID-19 vaccination, all-cause deaths and risk factors. Logistic regression models were used to calculate the odd ratio (OR) and 95% CI for the association between COVID-19 vaccination and mortality. The vaccine effectiveness (VE) was calculated as (1- adjusted OR) ×100%.

RESULTS

A total of 27,156 subjects had 53.81%, 17.65%, and 23.43% coverage for the booster, full, and partial COVID-19 vaccination, reported 328 deaths and a mortality of 1.2%. The adjusted OR (95%CI) was 0.85(0.60-1.21) for those received partial vaccination, 0.31(0.22-0.43) for those received full vaccination, and 0.12(0.08-0.18) for those received booster vaccination, compared to the unvaccinated individuals. The VE (95%CI) was 88.00(82.30-91.80) of booster vaccination, 69.30(56.60-78.30) of full vaccination, and 17.60(-17.10-42.00) of partial vaccination.

CONCLUSION

COVID-19 vaccination could effectively prevent the all-cause death in patients with T2DM during the omicron variant outbreak period, after the cancellation of the "Dynamic Zero Policy" in mainland China.

Experiences of Filipino Americans with Type 2 Diabetes during COVID-19: A Qualitative Study

Little is known about the experiences of Filipino Americans with type 2 diabetes regarding their self-management during the early phase of the COVID-19 pandemic. We conducted a qualitative research study using semistructured interviews. In total, 19 interviews were recorded, transcribed, and analyzed by 4 independent coders. We situated our understanding of these results using three concepts from an indigenous Filipino knowledge system called Sikolohiyang Pilipino: Kapwa (shared identity), Bahala Na (determination), and Pakikibaka (spaces of resistance). The following three main themes emerged: (1) stressors of the pandemic, (2) coping behaviors (with two subthemes: emotional and lifestyle-focused responses), and (3) diabetes self-management outcomes. Participants experienced stresses, anxiety, and loneliness during the pandemic magnified by the complexities of self-management. Although many admitted the pandemic brought challenges, including burnout, they coped by using existing resources-support from family, friends, the use of technology, and various emotional coping mechanisms. Many said that they made few diabetes self-management changes.

Analysis of Diabetic Foot Deformation and Plantar Pressure Distribution of Women at Different Walking Speeds

Official guidelines state that suitable physical activity is recommended for patients with diabetes mellitus. However, since walking at a rapid pace could be associated with increased plantar pressure and potential foot pain, the footwear condition is particularly important for optimal foot protection in order to reduce the risk of tissue injury and ulceration of diabetic patients. This study aims to analyze foot deformation and plantar pressure distribution at three different walking speeds (slow, normal, and fast walking) in dynamic situations. The dynamic foot shape of 19 female diabetic patients at three walking speeds is obtained by using a novel 4D foot scanning system. Their plantar pressure distributions at the three walking speeds are also measured by using the Pedar in-shoe system. The pressure changes in the toes, metatarsal heads, medial and lateral midfoot, and heel areas are systematically investigated. Although a faster walking speed shows slightly larger foot measurements than the two other walking speeds, the difference is insignificant. The foot measurement changes at the forefoot and heel areas, such as the toe angles and heel width, are found to increase more readily than the measurements at the midfoot. The mean peak plantar pressure shows a significant increase at a faster walking speed with the exception of the midfoot, especially at the forefoot and heel areas. However, the pressure time integral decreases for all of the foot regions with an increase in walking speed. Suitable offloading devices are essential for diabetic patients, particularly during brisk walking. Design features such as medial arch support, wide toe box, and suitable insole material for specific area of the foot (such as polyurethane for forefoot area and ethylene-vinyl acetate for heel area) are essential for diabetic insole/footwear to provide optimal fit and offloading. The findings contribute to enhancing the understanding of foot shape deformation and plantar pressure changes during dynamic situations, thus facilitating the design of footwear/insoles with optimal fit, wear comfort, and foot protection for diabetic patients.

A 'health message' on sustainable physical and mental health for the prolonged COVID-19 and other pandemics

The world has been living with another pandemic physical inactivity (PI) and sedentary behavior (SB) and of other nature for years. As social measures to prevent the spread of COVID-19 have been strengthened, the physical activity (PA) barrier has been hit and the PI/SB pandemic has been exacerbated, and in the current situation, triggered by its prolonged period, it is emerging as a problem to be considered in order to combat the PI/SB pandemic through PA and to maintain continuous physical and mental health. This review aims to summarize existing and recent studies on the effects of PA/SB on physical and mental health in preparation for the context of prolonged COVID-19 and provides an easy and fun way to motivate, access PA, and PA recommendations for maintaining physical and mental health. We performed search strategies on PubMed, Medline, Scopus, and Google Scholar databases, and used a literature review of the current available literature on the COVID-19 and the effects of PI, SB, and PA on physical and mental health. The clinical relevance of this review shows that integrating PA into daily life and reducing prolonged sitting time is an important strategy for continuing a healthy life physically and mentally. As a result, for those who have not yet incorporated exercise as part of their daily routine, fun and easy access to PA suggests that in the long run, may be an opportunity to implement newer habits. In addition, in an emergency such as the COVID-19 quarantine period or other pandemics, it is essential for one to maintain health through PA at home, and underscore the 'health message' of the current review that reducing SB, progressively increasing PA, and doing more PA regularly in the current context prolonged COVID-19 can bring significant benefits to long-term habits and physical and mental health.

Effects of combined training during the COVID-19 pandemic on metabolic health and quality of life in sedentary workers: A randomized controlled study

This study aimed to analyze the effects of a combined training (CT) program performed during the first national lockdown due to the COVID-19 pandemic on body composition, metabolic profile, quality of life and stress in sedentary workers, and examines whether changes in the metabolic profile are associated with changes in health-related outcomes which are modifiable by exercise. We evaluated 31 sedentary workers (48.26 ± 7.89 years old). Participants were randomly assigned to a CT group (i.e., performed 16 weeks of exercise) or to a non-exercise control group. The CT program consisted of 16-week of resistance and aerobic exercise. Body composition, glycemic and lipidic profiles, cardiorespiratory fitness (CRF), health-related quality of life and stress levels were assessed pre- and post-intervention. After the intervention period, the CT group demonstrated significantly lower waist and hip circumference (p < 0.05) values than the control group. The control group significantly increased the fasting glucose and HOMA-IR after 16 weeks follow-up (+4.74 mg/dL, p = 0.029; and +0.41 units, p = 0.010, respectively), whiles no significant changes were observed in the CT group in the same parameters (+3.33 mg/dL, p = 0.176; and +0.04 units, p = 0.628, respectively). No changes were observed in the lipid profile for either group (p > 0.05). A significant positive relationship was detected between the change in BMI with the changes in insulin and HOMA-IR (r = 0.643, p = 0.024; and r = 0.605, p = 0.037, respectively). In addition, the changes in CRF were negatively associated with the changes in total cholesterol (r = -0.578, p = 0.049). We observed differences between groups on perceived stress levels and physical, psychological, and environmental domains of quality of life, with the CT group showing better results. Moreover, the CT group improved perceived life satisfaction (+3.17 points, p = 0.038). The findings of the present study suggest that the participants who remained physically active during the first pandemic-related lockdown were able to mitigate the deleterious effects associated with a sedentary lifestyle.

Research on the Effectiveness of Probabilistic Stochastic Convolution Neural Network Algorithm in Physical Education Teaching Evaluation

In practice, PE teaching evaluation based on probabilistic convolutional neural network still faces some practical problems. At present, the existing research mainly focuses on how to improve the accuracy of PE (physical education) teaching evaluation, but ignores the balance between accuracy and speed of the model, which is the key to achieve efficient PE teaching estimation. Aiming at the problem of optimization contradiction existing in the traditional probabilistic stochastic convolution neural network regression method, a position adaptive probabilistic stochastic convolution neural network regression method was proposed. Firstly, the basic principle of probabilistic and random convolution neural network regression method is given. Secondly, the contradiction and reasons between hot trial regression and coordinated regression are analyzed. It is found that the process heat will return to the optimization with irreconcilable contradiction with the coordinates due to the lack of learning parameters when the hot trial transforms the coordinates. The optimization contradiction will make the model tonot obtain the exact coordinates of the nodes. Then, based on the above analysis, the learnable parameters are introduced into the Softmax function, and the position adaptive Softmax model is proposed. Combining the model with the probabilistic stochastic convolution neural network regression method, the position adaptive probabilistic stochastic convolution neural network integral regression method is obtained. In order to reduce the training cost of this method, a simplified training strategy is proposed. Finally, the simulation software MATLAB is used for verification, and the functions of sample maintenance, probabilistic stochastic convolution neural network training, and neural network evaluation are realized. The experimental data show that the probabilistic stochastic convolutional neural network is feasible for teaching quality evaluation, meets the accuracy requirements, and indeed provides a convenient and practical tool for PE teaching quality evaluation.

Physical activity and sedentary behaviour of primary school learners in the Eastern Cape province of South Africa

Background

This study was designed to assess physical activity (PA) levels and sedentary behaviour amongst primary school learners in the Eastern Cape province of South Africa.

Methods

A cross-sectional study was adopted to assess the patterns and levels of PA and sedentary behaviour using the Physical Activity Questionnaire for Older Children (PAQ-C). The sample consisted of primary school learners, both boys and girls, aged 9–14 years. The learners were randomly selected from rural, urban and peri-urban areas in the Eastern Cape province of South Africa.

Results

Using a complete case analysis, 870 randomly selected participants (boys = 351 and girls = 519) aged 9–14 years were retained. Overall, the sample had a low mean PAQ-C score of 2.33 ± 0.43. The mean of PA in boys was significantly higher (p = 0.003) in comparison with the girls. The 13- to 14-age group had significantly higher PA levels (p = 0.014). Learners from urban areas (n = 136; 77.3%) engaged more in sedentary behaviour compared to those from rural areas (n = 252; 54.9%).

Conclusion

The findings demonstrated low levels of PA and high engagement of sedentary behaviour across the combined gender groups, which have negative implications on health, growth and development of children. The study, therefore, recommends relevant stakeholders to implement interventions aimed at promoting an increase in PA and a reduction in sedentary behaviours for primary school learners in the Eastern Cape province of South Africa.

COVID-19 and diabetes-Two giants colliding: From pathophysiology to management

Since December 2019, a new coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread around the world, causing the coronavirus 2019 (COVID-19) pandemic. From the beginning, SARS-CoV-2 has put a strain on the health system. In fact, many patients have had severe forms of the disease with the need for hospitalization due to respiratory failure. To contain the pandemic, the most widely used approach has been lockdowns. Social restrictions have been reduced thanks to the development of vaccines and targeted therapies. However, fatal events still occur among people at high risk of serious infection, such as patients with concomitant diabetes. Different mechanisms have been proposed to explain the poor prognosis of patients with diabetes and COVID-19, but the specific cause is unclear. It is now known that insulin resistance, inflammation, and cytokine storm are involved. Moreover, SARS-CoV-2 uses the angiotensin-converting enzyme 2 receptors to enter cells. This receptor is expressed on pancreatic beta cells and, during infection, it appears that receptor involvement may induce hyperglycemia in patients with or without diabetes. In this study, we discuss the mechanisms underlying the poor prognosis in people with COVID-19 and diabetes and what may improve the outcome in these patients.