Weight change and glycemic control in type 2 diabetes patients during COVID-19 pandemic: the lockdown effect

Impact of the COVID-19 pandemic on the utilisation and quality of antibiotic use in the Scottish primary care setting: a population-based segmented interrupted time-series analysis

BACKGROUND

Inappropriate use of antibiotics is expected to increase during the COVID-19 pandemic, but there are limited data on COVID-19's long-term impact. We assessed the impact of COVID-19 on the quantity and quality of antibiotic use in Scotland.

RESEARCH DESIGN AND METHODS

A segmented interrupted time series was applied to monthly dispensed antibiotics using prescription cost analysis data from March/2019 to March/2023. Antibiotic use was quantified using the number of items dispensed/1000 inhabitants (TIDs) and defined daily dose/1000 inhabitants/day (DIDs). The quality of antibiotic use was assessed using key quality indicators including the WHO AWaRe classification, proportion of broad-spectrum and "4C"-antibiotics.

RESULTS

Overall, for all antibiotics, there was a non-significant increase in TIDs and DIDs before the first lockdown (March/2020) (β1), but a decline in the level immediately after the first (β2) and second lockdowns (β4) (November/2020), albeit non-significant. However, a significant increase in the time trend after the second lockdown (β5) for all antibiotic classes was observed. COVID-19 had no negative impact on AWaRe utilisation, with the proportion of all antibiotics from the Access group increasing from 76% in March/2019 to 90% in March/2023. The proportion of "4C" antibiotic reduced significantly after the second lockdown.

CONCLUSIONS

Neither the utilisation nor the quality of total antibiotic use appeared to have been significantly affected by COVID-19.

Socioeconomic status and the effect of prolonged pandemic confinement on anthropometric and glycaemic outcomes in adults with type 2 diabetes mellitus

AIM

This systematic review and meta-analysis aimed to investigate the impact of COVID19 lockdown on the anthropometric and glycaemic outcomes of adults with type 2 diabetes mellitus (T2DM) and assess whether socioeconomic status (SES) was relevant to these changes.

METHODS

A search of three databases was conducted. Meta-analyses using random effects models were undertaken to combine anthropometric and glycaemic measures pre- and post-confinement. Subgroup analyses according to SES were also conducted.

RESULTS

This systematic review of 19 articles demonstrated that prolonged pandemic-related confinement is associated with a deterioration in both anthropometric and glycaemic outcomes among adults with T2DM. Furthermore, SES was found to be relevant to these changes. Specifically, BMI (kg/m2) showed an increase in mean difference of 0.72 (95% CI; 0.13, 1.31; p<0.05) between pre and post lockdown cohorts. High income countries displayed a greater increase in BMI compared to their lower middle-income counterparts. Regarding, fasting blood glucose (FBG), a statistically significant difference was observed in the upper middle-income group (mean difference: 5.10; 95% CI: 2.92, 7.27), and high-income group (mean difference: 6.03; 95% CI: 0.04, 12.02). There were no significant changes to weight, waist circumference, or HbA1C over the lockdown period.

CONCLUSION

Our findings suggest adults with T2DM may have received less effective care over the lockdown period, particularly in high income countries. Clinics and care providers may need to adopt more intensive contact and treatment plans in the post lockdown period to prevent lasting impacts on disease progression and metabolic sequelae.

Associations between COVID-19 incidence, weight status, and social participation restrictions in the U.S.: evidence from the national population, cross-sectional study

BACKGROUND

To explore the associations between coronavirus infection incidence and weight status and social participation restrictions among community-dwelling adults in the United States.

METHODS

We analyzed data from the 2021 National Health Interview Survey (NHIS), which included a representative sample of 29,394 individuals (Coronavirus disease 2019 (COVID-19): 3,205) and a weighted total of 252,461,316 individuals (COVID-19: 31,697,404), considering the complex sampling design used in the survey.

RESULTS

Age, race/ethnicity, education level, family income index, body mass index (BMI), and smoking status were significantly associated with COVID-19 infection. Weight status was significantly correlated with social participation restrictions and strongly associated with COVID-19 infection, particularly among individuals who were overweight or obese.

CONCLUSION

Weight status was shown to be associated not only with social participation restrictions but also with COVID-19 infection among U.S. adults. Understanding the complex interplay between weight status, social participation, and COVID-19 is crucial for developing effective preventive measures and promoting overall well-being in the community population.

Impact of two COVID-19 lockdowns on HbA1c levels in patients with type 2 diabetes and associations with patient characteristics: a multicentre, observational cohort study over three years

Introduction

Glycemic effects of COVID-19 lockdowns on patients with type 2 diabetes (T2D) are controversial. In this long-term observation, we aimed (1) to analyze changes in HbA1c levels during lockdowns in Germany, and (2) to investigate whether diabetes medication, comorbidities, and sociodemographic data influenced these changes.

Materials and methods

This cohort study observed 1,089 patients aged ≥18 years over the years 2019 to 2021. Patients were recruited from 14 physicians specialized on diabetes. As dependent variable, 7,987 HbA1c values were analyzed by multivariable linear regression adjusted for random effects of physicians and patients.

Results

Patients had a median age of 68 (60/76) years and 623 (57.2%) were male. Before the pandemic, median HbA1c level (in %) was 6.9 (6.3/7.7). Average HbA1c level increased during first lockdown (0.21,0.11/0.31,p < 0.001), after first lockdown (0.23,0.18/0.28,p < 0.001), during second lockdown (0.40,0.33/0.47,p < 0.001) and after second lockdown (0.27,0.18/0.36,p < 0.001). The increase of HbA1c levels was more pronounced in male patients (0.08,0.01/0.15,p = 0.019), if patients did not have German as native language (0.12,0.01/0.23,p = 0.041) and if they were widowed (0.19,0.05/0.32,p = 0.008). End organ damages (0.12,0.01/0.23,p = 0.039), atherosclerotic cardiovascular disease (ASCVD; 0.23,0.10/0.36,p = 0.001) and cardiovascular events (0.25,0.10/0.40,p = 0.001) as well as oral medication (0.09,0.03/0.15,p = 0.002), intermediate- or long-acting insulins (0.24,0.16/0.32,p < 0.001), and fast-acting or mixed insulins (0.30,0.23/0.36,p < 0.001) were also related to a greater increase in HbA1c levels.

Conclusion

Both lockdowns resulted in a significant increase in HbA1c levels. In particular, patients with ASCVD, cardiovascular events, and insulin therapy appear to be at risk for worsening glycemic control in crisis and thus require special medical attention.

Clinical Trial Registration

ClinicalTrials.gov (NCT04821921).

Outcomes of the combined lifestyle intervention CooL during COVID-19: a descriptive case series study

BACKGROUND

The main objective of this nationwide study was to investigate changes in outcomes between baseline and eight months of participation regarding anthropometrics, control and support, physical activity, diet attentiveness, perceived fitness, sleep, and stress of participants in Coaching on Lifestyle (CooL), a Combined Lifestyle Intervention (CLI). Since the study took place when the COVID-19 pandemic emerged, we defined a subobjective, i.e., to address changes in intervention outcomes over time while participants were exposed to pandemic-related restrictions and uncertainties.

METHODS

Data were collected from November 2018 until October 2021 at different locations across the Netherlands from 1824 participating adults, meeting the CLI inclusion criteria. We collected a broad set of data on anthropometrics (weight, body mass index (BMI), waist circumference), control and support (self-mastery, social support), physical activity (sedentary time on least/most active days, physical active minutes), diet attentiveness (attentiveness to meal composition, awareness to amounts of food and attentiveness to consuming), alcohol consumption, smoking, perceived fitness (perceived health, fitness when waking, fitness during daytime, impact daily stress), sleep and stress.

RESULTS

All outcomes showed improvements after eight months compared to baseline except for social support and smoking. Large effect sizes were found on weight (0.57), waist circumference (0.50) and perceived health (0.50). Behaviour patterns showed small to large effect sizes, with the largest effect sizes on diet attentiveness (i.e., attentiveness to meal composition (0.43), awareness to amounts of food (0.58) and attentiveness to consuming (0.39)). The outcomes of participants pre COVID-19 versus during COVID-19 showed differences on self-mastery (p = 0.01), sedentary time (all underlying constructs p < 0.02), perceived fitness (all underlying constructs p < 0.02) and stress (p < 0.01).

CONCLUSION

The results show that small changes in multiple behaviours go along with a large positive change in perceived health and health-related outcomes in line with the lifestyle coaching principles. In addition, participating in CooL may have protected against engaging in unhealthier behaviour during the pandemic.

TRIAL REGISTRATION

As the CLI is considered usual health care that does not fall within the scope of the Dutch Medical Research Involving Human Subjects Act, this study was exempt from trial registration.

Risk Stratification in People with Diabetes for Fasting During Ramadan: Consensus from Arabic Association for the Study of Diabetes and Metabolism

BACKGROUND

Current international guidelines recommend a pre-Ramadan risk assessment for people with diabetes (PwDM) who plan on fasting during the Holy month. However, a comprehensive risk assessment-based recommendation for the management of PwDM intending to fast is still controversial. Therefore, the Arabic Association for the Study of Diabetes and Metabolism (AASD) developed this consensus to provide further insights into risk stratification in PwDM intending to fast during Ramadan.

METHODS

The present consensus was based on the three-step modified Delphi method. The modified Delphi method is based on a series of voting rounds and in-between meetings of the expert panel to reach agreements on the statements that did not reach the consensus level during voting. The panel group comprised professors and consultants in endocrinology (both adult and pediatric). Other members included experts in the fields of cardiovascular medicine, nephrology, ophthalmology, and vascular surgery, affiliated with academic institutions in Egypt.

RESULT

In PwDM who intend to fast during Ramadan, risk stratification is crucial to optimize patient outcomes and prevent serious complications. The present consensus provides risk assessment of those living with diabetes according to several factors, including the type of diabetes, presence, and severity of complications, number of fasting hours, and other socioeconomic factors. According to their risk factors, patients were classified into four categories (very high, high, moderate, and low risk).

CONCLUSION

Future research is warranted due to the controversial literature regarding the impact of fasting on certain comorbidities.

Retrospective Study on the Impact of COVID-19 Lockdown on Patients with Type 2 Diabetes in Northern Taiwan

Background

During the COVID-19 pandemic, the national lockdown had a significant impact on healthcare systems and diabetes management. The results of relevant studies were inconsistent. The aim of the study was to investigate the impact of lockdown on glycemic control among patients with type 2 diabetes mellitus(T2D) in Taiwan.

Methods

This was a retrospective study conducted in a single regional hospital in Northern Taiwan. The clinic characteristics of the patients were summarized. Anthropometric and biochemical data before and after the lockdown were collected and analyzed. Stepwise multiple regression analysis was performed to identify the independent determinants of variables, including baseline characteristics and laboratory parameters, for the changes in glycated hemoglobin(HbA1c).

Results

A total of 943 (females 48.5%) patients with T2D were enrolled. The mean age of the patients was 60.6±12.3years, with a mean HbA1c of 7.0±1.0%, a mean diabetes duration of 7.3±4.6years, and a mean body mass index(BMI) of 26.5±4.5kg/m2. The overall means of HbA1c and fasting blood glucose were significantly improved after the lockdown compared to before (7.0±1.0 vs 6.8±0.9, p<0.001 and 132.2±33.3 vs 124.4±30.0, p<0.001, respectively). The proportion of patients achieving HbA1c target (≤7%) was higher after the lockdown compared to before (61.5% vs 68.9%, p<0.001). Stepwise multiple regression analysis revealed that baseline HbA1c before the lockdown was a positive contributor to the change in HbA1c after the lockdown, whereas BMI and co-morbidity with dyslipidemia were negative contributors (standardized coefficient +0.16, p<0.001; -0.07, p=0.025; -0.12, p=0.001, respectively).

Conclusion

Our study highlights the benefits of lockdown measures on diabetic control in Northern Taiwan as a single-center experience with the improvement of HbA1c and fasting blood glucose. Understanding these consequences of national lockdown can help healthcare providers to improve diabetes care during the pandemic.

Metabolic control of diabetic patients assisted by private and public health care systems during the COVID-19 pandemic: A retrospective cohort study

AIMS

We sought to analyze the impacts of social restriction measures imposed by the pandemic COVID-19 on the control of metabolic parameters in diabetic patients.

METHODS

We accessed the medical records of patients who underwent clinical follow-up in the public and private health systems between July 2019 and June 2021. The sample consisted of 288 patients (111 adults and 177 older individuals). A two-way ANOVA mixed model was used to test the effects of intra- (time: baseline and after 24 months) and inter-subject factors. Linear regression analysis was used to predict the difference in body weight considering age, sex, HbA1c, health care system and insulin use.

RESULTS

Among adults, we observed an increase in body weight and LDL-c levels, especially for insulin users (p ≤ 0.05). Adults assisted by the public health care system showed higher HbA1c levels (p = 0.001). Among older individuals using insulin, blood glucose levels decreased (p = 0.019). Body weight decreased in those assisted by the private system (p = 0.005), while glycemia decreased for patients assisted by both health care systems (p = 0.043). The linear regression model confirmed that the increase in body weight was more pronounced in adults than in older individuals.

CONCLUSION

The social restriction measures imposed by the pandemic affected the metabolic control of diabetic patients, especially adults assisted by the public health care system.

The indirect impact of the COVID-19 pandemic on people with type 2 diabetes mellitus and without COVID-19 infection: Systematic review and meta-analysis

BACKGROUND

The effect directly from the coronavirus disease 2019 (COVID-19) infection on health and fatality has received considerable attention, particularly among people with type 2 diabetes mellitus (T2DM). However, evidence on the indirect impact of disrupted healthcare services during the pandemic on people with T2DM is limited. This systematic review aims to assess the indirect impact of the pandemic on the metabolic management of T2DM people without a history of COVID-19 infection.

METHODS

PubMed, Web of Science, and Scopus were systematically searched for studies that compared diabetes-related health outcomes between pre-pandemic and during-pandemic periods in people with T2DM and without the COVID-19 infection and published from January 1, 2020, to July 13, 2022. A meta-analysis was performed to estimate the overall effect on the diabetes indicators, including hemoglobin A1c (HbA1c), lipid profiles, and weight control, with different effect models according to the heterogeneity.

RESULTS

Eleven observational studies were included in the final review. No significant changes in HbA1c levels [weighted mean difference (WMD), 0.06 (95% CI -0.12 to 0.24)] and body weight index (BMI) [0.15 (95% CI -0.24 to 0.53)] between the pre-pandemic and during-pandemic were found in the meta-analysis. Four studies reported lipid indicators; most reported insignificant changes in low-density lipoprotein (LDL, n = 2) and high-density lipoprotein (HDL, n = 3); two studies reported an increase in total cholesterol and triglyceride.

CONCLUSIONS

This review did not find significant changes in HbA1c and BMI among people with T2DM after data pooling, but a possible worsening in lipids parameters during the COVID-19 pandemic. There were limited data on long-term outcomes and healthcare utilization, which warrants further research.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022360433.

Changes in health care utilization among Medicare beneficiaries with diabetes two years into the COVID-19 pandemic

IMPORTANCE

The coronavirus 2019 (COVID-19) pandemic abruptly impacted health care service delivery and utilization. However, the impact on older adults with diabetes in the United States is unclear.

OBJECTIVE

To estimate changes in health care utilization among older adults with diabetes during the initial 2 years of the COVID-19 pandemic compared to the 2 years before, and to examine the variation in utilization changes by demographic and socioeconomic characteristics.

DESIGN SETTING AND PARTICIPANTS

In this study, we analyzed changes in utilization, measured by the average use of health care services per 1,000 persons with diabetes, using medical claims for Medicare fee-for-service beneficiaries aged 67 years and above. Utilization changes by setting (acute inpatient, emergency room [ER], hospital outpatient, physician office, and ambulatory surgery center [ASC]) and by media (telehealth and in-person) were examined for 22 months of the pandemic (03/2020-12/2021) compared with pre-pandemic period (03/2018-12/2019). We also estimated utilization changes by beneficiaries' age group, sex, race/ethnicity, and residential urbanicity.

RESULTS

The study sample consisted of approximately 6 million beneficiaries with diabetes each month. In the first 2 years of the pandemic, the average use of health care services by setting was 5-17% lower than the pre-pandemic level for all types of services. Phase 1 (03/2020-05/2020) had the largest decrease in utilization: physician office visits changed by -51.2% (95% CI, -55.0% to -47.5%), ASC procedures by -45.1% (95% CI, -49.8% to -40.4%), ER visits by -36.9% (95% CI, -39.0% to -34.7%), acute inpatient stays by -31.5% (95% CI, -33.6% to -29.3%), and hospital outpatient visits by -27% (95% CI, -29.3% to -24.8%). The reduction in utilization varied by sociodemographic subgroup. During the pandemic, the use of telehealth visits increased by 511.1% (95% CI, 502.2% to 520.0%) compared to the pre-pandemic period. The increase was smaller among rural residents.

CONCLUSIONS AND RELEVANCE

Medicare beneficiaries with diabetes experienced a reduction in the use of health care services during the COVID-19 pandemic, some of which persisted through two years into the pandemic. Telehealth visits increased, but not enough to overcome decreases in in-person visits. Understanding these patterns may help to optimize the use of health care resources for diabetes management in the post-pandemic era and during future emergencies.

Changes in body weight and glycemic control in association with COVID-19 Shutdown among 23,000 adults with type 2 diabetes

AIMS

To examine the association between COVID-19 Shutdown and within-subjects changes in body weight, body mass index (BMI), and glycemic parameters using electronic health record (EHR) data from 23,000 adults with type 2 diabetes (T2DM).

METHODS

Patients with T2DM with outpatient visit data on body weight, BMI, hemoglobin A1c (HbA1c), and blood glucose (≥ 2 measures before and after 3/16/2020) recorded in the EHR at the University of Pittsburgh Medical Center were included. A within-subjects analysis compared average and clinically significant changes in weight, BMI, HbA1c, and blood glucose during the year POST-Shutdown (Time 2-3) compared to the same interval during the PRE-Shutdown year (Time 0-1) using paired samples t-tests and the McNemar-Bowker test.

RESULTS

We studied 23,697 adults with T2DM (51% female; 89% White; mean age = 66 ± 13 years; mean BMI = 34 ± 7 kg/m2; mean HbA1c = 7 ± 2% [53 ± 21.9 mmol/mol]). Weight and BMI decreased during both the PRE- and POST-Shutdown intervals, but the changes were statistically smaller during the year POST-Shutdown relative to PRE (0.32 kg and 0.11 units, p < 0.0001). HbA1c showed statistically greater improvements during the POST-Shutdown interval compared to PRE (- 0.18% [-2 mmol/mol], p < 0.0001), but changes in glucose did not differ for the two intervals.

CONCLUSIONS

Despite widespread discussion of weight gain in association with the COVID-19 Shutdown, study data showed no evidence of adverse effects of Shutdown on body weight, BMI, HbA1C, or blood glucose in a large sample of adults with T2DM. This information may help to inform future public health decision-making.

Establishment of Neural Series Transmission Keys (NSTKs) and Security in the Field of COVID-19 Telepediatric Oral Health

In this exceptional COVID-19 crisis, telemedicine had arisen as a substitute technique for medicines. Even more unequivocally, pediatric children were at high risk to outside homes. The spread of COVID-19 has suddenly ascended. Because of lockdown conventions and isolation protocols, kids were confined to live inside their homes. Non-emergency youngsters ought to be managed remotely through the telepediatric health. An establishment of Neural Series Transmission Keys (NSTKs) has been created and security had been planned on the intraoral data. Oral cavity is a kind of dental disease occurring in children. It is for the most cases caused due to drawn out bacterial invasions. Bacterial attacks are more because of sticky chocolates, desserts, sugar, and so forth. Homeopathy medicines are the best prescribed to fix such dental diseases in this current unprecedented COVID-19. Since, it needs no dental medical procedure for the non-invasive kids, which is the reason that the homeopathy medicines are most appropriate in this COVID-19 lockdown stages. The doctor can gather symptoms of the kids from their parents through online interfaces. Some of the normal homeopathy drugs are: Kreasotum, Mercurius, Mezereum, etc. Moreover, in this pandemic situation online telepediatric homeopathy medicines were better alternatives to investigate from home disengages. Additionally it bears no voyaging consumptions and costs. Secure online transmission of clinical pediatric information has been the most challenging issue in COVID-19 telepediatric oral wellbeing. Data mystery factor is protected with tendency in this proposed cryptographic technique. Neural Series Transmission Keys (NSTKs) were established based on neural network based hamming codes. It has been diffused inside the intraoral pediatric data. The proposed key was so particularly amazing that it gives assorted blend after each bit of evolving. Beginning seeds were kept at the dentists and the patients, in order to go against external attacks inside the public channel, especially during this hyper digitized COVID-19 times. Standard graphs were drawn with accuracy using the proposed cryptographic method. The absolute cryptographic time in this strategy was 2.88 ms which was significantly important. By applying Chi Square test, we have noted χ 2 = 17.012, under 5% level of significance.

COVID-19 and diabetes mellitus: a review of the incidence, pathophysiology and management of diabetes during the pandemic

INTRODUCTION

The COVID-19 pandemic has changed the landscape of modern medicine on a global scale. An emerging concern is the recognition of a bidirectional relationship between COVID-19 and diabetes. Diabetes is a risk factor for severe COVID-19 illness. Intriguingly, recent epidemiological and in vitro studies suggest that infection with SARS-CoV-2, the causative viral agent of COVID-19, is associated with new-onset diabetes and worsening diabetes control. These factors have affected the management of diabetes.

AREAS COVERED

This review provides an overview of our current understanding of the incidence and prevalence of diabetes in relation to the COVID-19 pandemic, highlights studies evaluating SARS-CoV-2's beta cell tropism and its effects on insulin secretion and sensitivity and evaluates the impact of the pandemic on diabetes management and metabolic control.

EXPERT OPINION

Epidemiological studies have noted an increase in the incidence of new-onset diabetes associated with COVID-19 in patients with phenotypes of type 1 diabetes, type 2 diabetes and Ketosis-Prone Diabetes. Prospective studies are needed to fully elucidate the association between COVID-19 and diabetes and to characterize persons at risk of developing diabetes after SARS-CoV-2 infection, identify those who should be screened for diabetes, and determine the natural histories of different forms of diabetes associated with COVID-19.

Commentary on &quot;The prevalence of diabetic peripheral neuropathy in youth with diabetes mellitus&quot

Purpose

This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on type 2 diabetes mellitus (T2DM) in children and adolescents.

Methods

Children and adolescents diagnosed with T2DM who visited the Korea University Hospital in 2019 and 2020 were retrospectively analyzed, including changes in body mass index (BMI)-standard deviation score (SDS), glycated hemoglobin (HbA1c), diabetes complications, and diabetes management from 2019 to 2020.

Results

Patient mean age and disease duration were 15.48±2.15 and 2.56±1.51 years, respectively. Obese patients accounted for 70.6% of the study population. From 2019 to 2020, mean BMI-SDS (2.21±1.25 vs. 2.35±1.43, P =0.044), HbA1c level (6.5%±2.72% vs. 7.3%±3.70%, P <0.001), blood pressure (BP), total cholesterol, and non–high-density lipoprotein cholesterol level in all patients increased significantly. Obesity was an independent predictor of increased HbA1c (95% confidence interval, 1.071–50.384; P =0.042). HbA1c levels did not increase significantly in nonobese patients, whereas HbA1c (6.45%±2.30% vs. 7.20%±3.05%, P <0.001), BMI-SDS (2.88±0.75 vs. 3.08±0.98, P =0.045), diastolic BP (P =0.037), and total cholesterol values (P =0.019) increased in obese patients in 2020 compared to 2019.

Conclusions

During the COVID-19 outbreak, glycemic control and diabetic complications worsened in children and adolescents with T2DM, particularly in obese patients. Close monitoring for glycemic control and diabetic complications is necessary in children and adolescents with T2DM, especially those with obesity.

Weight changes during the COVID-19 shutdown in older individuals with type 2 diabetes: the Look AHEAD Study

OBJECTIVE

The aims of this study were as follows: 1) examine weight changes in older adults (mean age = 76 years) with type 2 diabetes and overweight or obesity during the COVID-19 shutdown; and 2) compare the behavioral and psychosocial effects of the shutdown in those who had large weight losses (>5%), those who had small weight losses (2%-5%), those who remained weight stable (±2%), or those who gained weight (>2%).

METHODS

Look AHEAD (Action for Health in Diabetes) participants (N = 2544) were surveyed during the COVID-19 shutdown (2020), and they self-reported their current weight, reasons for weight change, weight-related behaviors, psychosocial measures, and negative and positive effects of the pandemic on their lives.

RESULTS

Comparing self-reported weight during the COVID-19 shutdown with earlier measured weight, Look AHEAD participants lost, on average, 2.2 kg during the COVID-19 shutdown: 47% lost >2%, and only 18% gained >2% (p < 0.0001). Decreases in physical activity and increases in screen time were reported frequently in all weight-change categories. Similarly, there were few differences among the categories on standardized psychosocial measures or self-reported effects of the shutdown on participants' lives. However, when differences were seen, the most negative impact was in those who gained weight.

CONCLUSIONS

Although weight loss appeared more common than weight gain during the shutdown, the weight-change groups did not differ on most psychosocial and behavioral variables.

The prevalence of metabolic conditions before and during the COVID-19 pandemic and its association with health and sociodemographic factors

BACKGROUND

There is a dearth of evidence on the relationship between COVID-19 and metabolic conditions among the general U.S. population. We examined the prevalence and association of metabolic conditions with health and sociodemographic factors before and during the COVID-19 pandemic.

METHODS

Data were drawn from the 2019 (N = 5,359) and 2020 (N = 3,830) Health Information National Trends Surveys on adults to compare observations before (2019) and during (2020) the COVID-19 pandemic. We conducted weighted descriptive and multivariable logistic regression analyses to assess the study objective.

RESULTS

During the pandemic, compared to pre-pandemic, the prevalence of diabetes (18.10% vs. 17.28%) has increased, while the prevalence of hypertension (36.38% vs. 36.36%) and obesity (34.68% vs. 34.18%) has remained similar. In general, the prevalence of metabolic conditions was higher during the pandemic (56.09%) compared to pre-pandemic (54.96%). Compared to never smokers, former smokers had higher odds of metabolic conditions (AOR = 1.38, 95% CI = 1.01, 1.87 and AOR = 1.57, 95% CI = 1.10, 2.25) before and during the pandemic, respectively. People with mild anxiety/depression symptoms (before: AOR = 1.52, 95% CI = 1.06, 2.19 and during: AOR = 1.55, 95% CI = 1.01, 2.38) had higher odds of metabolic conditions relative to those with no anxiety/depression symptoms.

CONCLUSION

This study found increased odds of metabolic conditions among certain subgroups of US adults during the pandemic. We recommend further studies and proper allocation of public health resources to address these conditions.

The effect of phone and video counselling given to participants living with obesity on weight loss and quality of life during the COVID-19 pandemic: a randomised controlled trial

BACKGROUND

Although remote dietary counselling practices have increased in the COVID-19 pandemic, it is not known which method is more effective. This study aimed to determine the effect of diet counselling by phone or video on weight loss and to compare it with the traditional follow-up method.

METHODS

Forty-six participants living with obesity were randomised into the phone counselling (n = 15), video counselling (n = 15), and traditional follow-up groups (n = 16), and were followed for 10 weeks. The anthropometric measurements, quality-of-life questionnaire (SF-36) scores and total calorie/macronutrient intakes were recorded and compared at baseline and at the end of the study.

RESULTS

In the phone counselling, video counselling and traditional follow-up groups body weight (-4.8 ± 0.9, -5.7 ± 1.8 and -3.3 ± 0.8 kg, respectively) and SF-36 general health scores (14.2 ± 4.2, 15.9 ± 3.6 and 10.2 ± 3.7, respectively) of the participants changed significantly compared to baseline (group × time interaction, p < 0.05). The change in the body weight and SF-36 general health score was more in the phone counselling and video counselling groups relative to the traditional follow-up group (group × time interaction, p < 0.01). The highest decrease in total calorie (-301.4 ± 112.2 kcal) and carbohydrate (-26.6 ± 11.2 g) intake was in the video counselling group compared to the other groups (group × time interaction, p < 0.01).

CONCLUSION

Video counselling and phone counselling were effective in weight loss in the COVID-19 pandemic. It is important to maintain remote dietary counselling practices to support weight management when face-to-face meetings are not possible.

Self-Care of Adults with Type 2 Diabetes During the COVID-19 Pandemic: A Qualitative Interpretive Description Study

Due to coronavirus disease 2019 (COVID-19), diabetes services have been disrupted, causing difficulties for people with type 2 diabetes mellitus (T2DM), and understanding their experience could help improve diabetes care. Therefore, we used a qualitative interpretive description to explore the experience of self-care of adults with T2DM during the COVID-19 pandemic. Data were collected using semi-structured interviews and analyzed theoretically. The sample (N = 30) was composed of 7 females and 23 males, with a mean age of 69.9 years (60-77) and 19.4 mean years (3-40) of people living with T2DM. Our findings show reduced physical activity and increased smoking and alcohol consumption affected that self-care. Increased food consumption and stress eating, with greater stress and anxiety, caused worsening of glycemic values. Participants were able to contact healthcare professionals via eHealth or telephone. Others, even those with complications, were not able to receive care or advice. These results suggest that easier contact with health providers, continuous engagement, eHealth solutions, and formal peer support could help self-care in T2DM. Advanced nursing roles and services could solve many issues reported in this study during and after the pandemic.

The metabolic control and laboratory evaluation in patients with type 2 diabetes during the COVID-19 pandemic and the impact of telemedicine: a single-center experience

Objective: The study aimed to evaluate the metabolic control during the COVID-19 pandemic in subjects with type 2 diabetes mellitus (T2DM) and whether care through telemedicine significantly impacted it.

Material and methods: This was a retrospective study for which three time-periods were prespecified: the COVID-19 pandemic period, pre-COVID-19 period, and before pre-COVID-19. The following information were collected: anthropometric and laboratory parameters (glycated hemoglobin (HbA1c), blood glucose, lipid profile, creatinine, eGFR, etc.), self-measured blood glucose (SMBG), blood pressure (BP), diabetes therapy, number of on-site and of telemedicine consultations. The mean values of all available measurements for HbA1c, SMBG, BP, weight, and body mass index (BMI) were calculated.

Results: During the COVID-19 pandemic, the HbA1c values increased (6.78±0.77% to 6.96±0.87%, p<0.0001; + 0.18±0.67%), despite treatment intensification (p<0.01), while BMI and total cholesterol values slightly decreased (32.01±5.5 kg/m2 to 31.7±5.4 kg/m2, p<0.0001, and 178.1±40.8 mg/dl to 170.5±38.4 mg/dl, p<0.05). The deterioration of glycemic control (to HbA1c >7%) were rather seen in males (to 7.01±0.92%, p<0.0001), patients from rural areas (to 7.08±0.96%, p<0.001) and younger than 65 y.o. (to 7.05±0.82%, p<0.001). More male patients had a mean HbA1c increase of >0.5% during the COVID-19 pandemic (32.3% vs 21.5%, p<0.05). Patients who received more diabetes care visits through telemedicine had a more attenuated increase in HbA1c (6.79±0.80% to 6.90±0.83%, p<0.05 vs 6.76±0.72% to 7.08±0.92%, p<0.0001).

Conclusions: The glycemic control slightly deteriorated during the COVID-19 pandemic (but with overall HbA1c within target), with certain patient categories being more affected. Diabetes care though telemedicine allowed the maintenance of the metabolic control.

Dietary habits, lifestyle changes, and glycemic control in patients with type 2 diabetes mellitus during coronavirus disease 2019 (COVID-19): A cross-sectional study in Egypt

BACKGROUND

The coronavirus disease 2019 (COVID-19) lockdown had a significant effect on people's lifestyles and dietary habits resulting in a possible negative health impact, particularly for patients with type-2 diabetes mellitus (T2DM). The objective of the study was to assess the changes in dietary habits and lifestyle and how these relate to glycemic control in patients with type 2 diabetes (T2D), who attended Zagazig Diabetes Clinic, Sharkia Governorate, Egypt, during the COVID-19 pandemic.

MATERIALS AND METHODS

A total of 402 patients with T2D were included in this cross-sectional study. A semistructured questionnaire was used to collect information on socioeconomic status, dietary habits, lifestyle changes, and previous medical history. Weight and height were also measured, and hemoglobin A1C levels before and after lockdown were compared. Data analysis was performed using the SPSS. To determine statistical significance, Chi-square test was used for categorical variables whereas, paired t-test or McN-Nemar test, as appropriate, was used to compare change in HbA1c before and after lockdown. Ordinal logistic regression was used to determine factors associated with weight change, whereas binary logistic regression was used to determine factors related with glycemic control.

RESULTS

During the COVID-19 pandemic, 43.8% of the studied groups consumed more than their usual diet with an increase in fruits, vegetables, and immunity-boosting food; 57% depended on home-cooked food, 48.3% did not practice exercise. About 57% reported to have gained weight, 70.9% suffered from mental stress, and 66.7% reported inadequate sleep. Collectively, there was a statistically significant decrease in the percentage of good glycemic control in the studied groups (28.1% vs. 15.9%) before and after the COVID-19 lockdown, respectively (P < 0.001). Weight gain, physical inactivity, mental stress, and inadequate sleep were significantly associated with poor glycemic control.

CONCLUSION

COVID-19 pandemic has had a negative impact on the lifestyle and dietary habits of the studied groups. Therefore, it is very important to ensure better diabetes management in this critical period.

Association of COVID-19 patient’s condition with fasting blood glucose and body mass index: A retrospective study

BACKGROUND: The COVID-19 pandemic broke out in 2019 and rapidly spread across the globe. Most of the severe and dead cases are middle-aged and elderly patients with chronic systemic diseases. OBJECTIVE: This study aimed to assess the association between fasting blood glucose (FPG) and body mass index (BMI) levels in patients with coronavirus disease 2019 (COVID-19) under different conditions. METHODS: Experimental-related information (age, gender, BMI, and FPG on the second day of admission) from 86 COVID-19 cases (47 males and 39 females) with an average age of (39 ± 17) years was collected in April and November 2020. These cases were divided into three groups according to the most severe classification of each case determined by the clinical early warning indicators of severe-critically illness, the degree of progression, and the treatment plan shown in the diagnosis and treatment plan of COVID-19 pneumonia. Statistical models were used to analyze the differences in the levels of FPG and BMI, age, and gender among the three groups. RESULTS: 1. Experimental group: 21 patients with asymptomatic or and mild symptoms (group A), 45 patients with common non-progression (group B), and 20 patients with common progression and severe symptoms (group C). 2. The age differences among the three groups were statistically significant and elderly patients had a higher risk of severe disease (t= 4.1404, 3.3933, 9.2123, P= 0.0001, 0.0012, 0.0000). There was a higher proportion of females than males in the normal progression and severe disease cases (χ2= 5.512, P= 0.019). 3. The level of FPG was significantly higher in group C than in group A (t= 3.1655, P= 0.0030) and B (t= 2.0212, P= 0.0475). The number of diabetes or IFG in group C was significantly higher than in group A (χ2= 5.979, P= 0.014) and group B (χ2= 6.088, P= 0.014). 4. BMI was significantly higher in group C than in groups A (t= 3.8839, P= 0.0004) and B (t= 3.8188, P= 0.0003). The number of overweight or obese patients in group C was significantly higher than in groups A (χ2= 8.838, P= 0.003) and B (χ2= 10.794, P= 0.001). 5. Patients’ age, gender, and FPG were independent risk factors for COVID-19 disease progression (β= 0.380, 0.191, 0.186; P= 0.000, 0.034, 0.045). CONCLUSION: The levels of FPG and BMI were significantly increased in the population with common progressive and severe COVID-19. FPG and age are independent risk factors for the progression of COVID-19.

Retrospective study on the impact of COVID-19 lockdown on patients with type 2 diabetes in Northern Jordan

OBJECTIVE

During COVID-19 pandemic, complete lockdown of cities was one of the measures implemented by governments worldwide. Lockdown had a significant impact on people's lifestyles and access and utilisation of health services. This study aimed to assess the impact of the lockdown on glycaemic control among patients with type 2 diabetes mellitus (T2DM).

DESIGN AND SETTING

This was a retrospective study, electronic medical records at a leading University Hospital in Northern Jordan were used to extract study data.

PARTICIPANTS

All outpatients with T2DM.

PRIMARY AND SECONDARY OUTCOME MEASURES

Glycated haemoglobin (HbA1c), blood glucose and lipid profile for patients with T2DM, 6 months before and 6 months after the full COVID-19 lockdown.

RESULTS

A total of 639 patients (289 (45.2%) males and 350 (54.8%) females) were included in this study. Their age ranged from 18 to 91 years, with a mean (SD) of 59.9 (13.8) years. The overall means of HbA1c (8.41 vs 8.20, &lt;0.001), high-density lipoprotein (1.16 vs 1.12, &lt;0.001), low-density lipoprotein (2.81 vs 2.49, &lt;0.001) and total cholesterol (4.45 vs 4.25, p&lt;0.001) levels were significantly higher in the period before lockdown compared with the period after the lockdown. However, triglyceride and fasting blood glucose levels were not affected significantly after the lockdown.

CONCLUSIONS

The glycaemic control and lipid profile had significantly improved after COVID-19 pandemic lockdown. The availability of medication and medical advice delivery systems (monthly medicine deliveries) during the lockdown in Jordan might have positive impact on patients with diabetes.

Impact of the COVID-19 pandemic on the glycemic control, eating habits, and body compositions of people with diabetes mellitus: A retrospective longitudinal observational study

AIMS/INTRODUCTION

To evaluate the impact of the COVID-19 pandemic on the glycemic control, eating habits, and body composition of people with diabetes mellitus; to identify the determinants of worsening glycemic control in people with diabetes mellitus.

MATERIALS AND METHODS

This retrospective, longitudinal observational study was performed in outpatients with diabetes mellitus who visited our hospital between April 2019 and March 2020 (pre-COVID-19 period) and continued for follow up from April 2020 to March 2021 (COVID-19 period). We compared the glycemic control, nutritional intakes, and body composition of people with diabetes mellitus between the two periods. The changes in the HbA1c values (ΔHbA1c) and other study variables were compared between the two periods. Logistic regression analysis was performed to identify the factors associated with the increase of HbA1c levels.

RESULTS

A significant increase of HbA1c was observed during the COVID-19 period. The percent fat mass (FM) also increased, while the percent skeletal muscle mass (SMM) decreased during the COVID-19 period. After adjustments for age and sex, the ΔBMI (OR:2.33), ΔFM (OR:1.45), and ΔSMM (OR:0.51) were identified as being associated with elevated levels of HbA1c.

CONCLUSIONS

The COVID-19 pandemic had a negative impact on the glycemic control and body composition of people with diabetes mellitus. The increased body weight and FM and decreased SMM observed during the pandemic were associated with poor glycemic control in people with diabetes mellitus.

Effect of SARS-CoV-2 Infection and Infection Severity on Longer-Term Glycemic Control and Weight in People With Type 2 Diabetes

OBJECTIVE

To evaluate the association of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severity of infection with longer-term glycemic control and weight in people with type 2 diabetes (T2D) in the U.S.

RESEARCH DESIGN AND METHODS

We conducted a retrospective cohort study using longitudinal electronic health record data of patients with SARS-CoV-2 infection from the National COVID Cohort Collaborative (N3C). Patients were ≥18 years old with an ICD-10 diagnosis of T2D and at least one HbA1c and weight measurement prior to and after an index date of their first coronavirus disease 2019 (COVID-19) diagnosis or negative SARS-CoV-2 test. We used propensity scores to identify a matched cohort balanced on demographic characteristics, comorbidities, and medications used to treat diabetes. The primary outcome was the postindex average HbA1c and postindex average weight over a 1 year time period beginning 90 days after the index date among patients who did and did not have SARS-CoV-2 infection. Secondary outcomes were postindex average HbA1c and weight in patients who required hospitalization or mechanical ventilation.

RESULTS

There was no significant difference in the postindex average HbA1c or weight in patients who had SARS-CoV-2 infection compared with control subjects. Mechanical ventilation was associated with a decrease in average HbA1c after COVID-19.

CONCLUSIONS

In a multicenter cohort of patients in the U.S. with preexisting T2D, there was no significant change in longer-term average HbA1c or weight among patients who had COVID-19. Mechanical ventilation was associated with a decrease in HbA1c after COVID-19.

The Social Distance Impacts from COVID-19 Pandemic on the Development of Two Orders of a Concurrent Training Programme for Morbidly Obese Patients

BACKGROUND

Although there is relevant information regarding the consequences of the coronavirus SARS-CoV-2 (COVID-19), little is known about the impact of the imposed social confinement (at home) on the development of exercise training programmes in populations with morbid obesity.

AIM

To describe the effects of the imposed COVID-19 confinement on the cardiometabolic health benefits acquired through a concurrent training programme that started before the pandemic in populations with morbid obesity.

METHODS

This was an experimental randomized clinical study, in which sedentary morbidly obese women were assigned 1:1 to a high-intensity interval training (HIIT) plus resistance training (RT) group (HIIT + RT; n = 11; BMI 42.1 ± 6.6) or to the same exercise dose, but in different order group of RT plus HIIT group (RT + HIIT; n = 7; BMI 47.5 ± 8.4). Both groups undertook two sessions/week. When COVID-19 confinement at home started, a post-test was applied in January 2020 (Post1) and after 20 months (Post2). The main outcomes were waist circumference (WC), systolic (SBP) and diastolic blood pressure (DBP), high-density lipids (HDL-c), triglycerides (Tg), and fasting plasma glucose (FPG).

RESULTS

In the HIIT + RT group, the WC showed significant increases from Post1 to Post2 (Δ + 3.1 cm, p = 0.035); in the RT + HIIT group, it decreased from Post1 to Post2 (Δ - 4.8 cm, p = 0.028). In the HIIT + RT group, SBP showed significant increases from Post1 to Post2 (Δ + 6.2 mmHg, p = 0.041); the RT + HIIT group decreased SBP from Pre0 to Post1 (Δ - 7.2 mmHg, p = 0.026) and increased DBP from Pre0 to Post1 (Δ + 8.1 mmHg, p = 0.015). Tg in the HIIT + RT group decreased from Pre0 to Post1 (Δ - 40.1 mg/dL, p = 0.023) but increased from Post1 to Post2 (Δ + 86.3 mg/dL, p < 0.0001).

CONCLUSIONS

The COVID-19 social confinement worsened metabolic syndrome (MetS) outcomes that had improved from 20 weeks' RT + HIIT during the training period, such as WC, SBP, and Tg from HIIT + RT, when, worryingly, SBP increased to another more serious clinical classification in both groups.

Twin peaks of in-hospital mortality among patients with STEMI across five phases of COVID-19 outbreak in China: a nation-wide study

Lockdown and re-opening may become cyclical due to the recurrent waves of the COVID-19 epidemic. Few studies have examined temporal trends and determinants of in-hospital mortality among patients with ST-segment elevation myocardial infarction (STEMI), a life-threatening condition that requires emergency medical care. Using nation-wide data before, during and after the Wuhan lockdown, we aimed to depict temporal patterns and major determinants of STEMI in-hospital mortality in China across five time periods of the COVID-19 epidemic. We analyzed the data of 283,661 STEMI patients who were admitted to 4,487 chest-pain-centers across China, from January 1, 2019 to May 31, 2020. Compared with the period before the lockdown, STEMI in-hospital mortality increased by 25% (OR 1.25, 95%CI 1.16-1.34) during Early Lockdown, by 12% (OR 1.12, 95%CI 1.03-1.22) during Later Lockdown, by 35% (OR 1.35, 95%CI 1.21-1.50) during Early Lift, and returned to pre-COVID risk (OR 1.04, 95%CI 0.95-1.14) during Later Lift. For each time-period, we observed a clear mortality gradient by timing and types of revascularization procedure. In conclusion, the COVID-19 epidemic had a significant adverse impact on STEMI in-hospital mortality, with bimodal peaks during early lockdown and early lift periods and clear mortality gradients by timing and types of revascularization procedure, independent of the time periods.

Effect of the COVID-19 pandemic on glycemic control in Brazilian patients with type 2 diabetes

PURPOSE

To investigate the effect of restrictive measures the COVID-19 pandemic imposed on glycemic control of patients with type 2 diabetes (T2D) and its associated factors.

METHODS

Outpatients with T2D who had an appointment scheduled during the social distancing period were eligible for telemonitoring. Clinical and laboratorial data were collected from medical records in the last consultation before and from the first visit after the COVID-19 pandemic lockdown period.

RESULTS

From the 1241 eligible patients, 816 (65.7%) could be contacted by phone, 137 (11%) attended the unit for consultation during the social distancing period, and 1040 (83.8%) returned up to 12 months after the end of the lockdown period. We observed a meaningful reduction of glycated hemoglobin (HbA1c) (7.9 [7-9] vs. 7.7 [6.9-8.8] p = 0.004) and no difference in body mass index (29.5 [26-33.7] vs. 29.6 [26.2-34.1], p = 0.17) before and after the social distancing period. According to insulin use at baseline, the HbA1c variation was +0.6 (-0.7 to +2) and -0.6 (-2.1 to +0.7) in patients without and with insulin, respectively (p < 0.001). In the multivariate model, insulin therapy was the only independent significant predictor of HbA1c reduction.

CONCLUSION

This study observed an improvement in glycemic control after the lockdown. The only independent predictor found was previous insulin use. Probably, the longer time available to perform frequent blood glucose self-monitoring at home and adjustments in insulin therapy could explain our findings.

Year-long effects of COVID-19 restrictions on glycemic control and body composition in patients with glucose intolerance in Japan: A single-center retrospective study

Aims/Instruction

During the coronavirus disease 2019 (COVID‐19) pandemic, the lockdowns in Europe raised concerns about negative effects on glycemic control and body composition in patients with diabetes. In Japan, voluntary‐based restrictions were imposed as the declaration of a state of emergency (DSE), whose metabolic consequences have not been fully investigated. We carried out a single‐center retrospective study to evaluate changes in glycemic control and body composition in outpatients with glucose intolerance after the DSE.

Materials and Methods

We enrolled outpatients with glucose intolerance: (i) for whom longitudinal data about body composition were available; (ii) who participated in dietary follow up with nutritionists; and (iii) whose laboratory data included glycated hemoglobin (HbA1c) levels before and after the DSE.

Results

Among 415 patients, we found no significant changes in HbA1c overall after the DSE. Bodyweight and fat mass increased significantly, whereas skeletal mass decreased significantly. HbA1c changes after the DSE were significantly correlated with changes in bodyweight and fat mass. In 128 patients whose HbA1c levels increased ≥0.3%, changes in bodyweight and fat mass were significantly larger than those in the other 287 patients. With regard to lifestyle changes, increased snacking was likely to worsen glycemic control (odds ratio 1.76, P = 0.036).

Conclusions

COVID‐19 restrictions in Japan had unfavorable metabolic consequences for patients with glucose intolerance, highlighted by increased bodyweight and body fat, and decreased skeletal muscle. In addition, lifestyle changes, such as increased snacking, might worsen glycemic control. Clinical attention and interventions are required to prevent such metabolic changes.

How has the COVID-19 Pandemic Affected Diabetes Self-Management in People With Diabetes? - A One-Year Follow-Up Study

BACKGROUND AND AIM

In Denmark, the COVID-19 pandemic resulted in two lockdowns, one from March to May 2020 and another from December 2020 to April 2021, which had severe impact on everyday life. The aim of this study was to explore changes in diabetes self-management behaviors during the pandemic and to examine how specific population characteristics were associated with changes in diabetes management.

METHODS AND PARTICIPANTS

In a cohort study from March 2020 to April 2021, two online questionnaires were collected from a total of 760 people with diabetes. Descriptive statistics were used to assess the proportion of participants experiencing improvements, deterioration, and status quo in diabetes self-management during the pandemic. Using logistic regressions, baseline characteristics were explored as potential predictors of change.

RESULTS

Approximately half of the participants reported that they experienced lower physical activity in April 2021 compared to before the pandemic, approximately one fifth reported diabetes self-management to be more difficult than prior to the pandemic, and one fifth reported eating more unhealthily than before the pandemic. Some participants reported higher frequency of high blood glucose levels (28%), low blood glucose levels (13%) and more frequent blood glucose variability (33%) compared to before. Easier diabetes self-management was reported by relatively few participants, however, 15% reported eating more healthily, and 20% reported being more physically active. We were largely unable to identify predictors of change in exercise activities. The few baseline characteristics identified as predictors of difficulties in diabetes self-management and adverse blood glucose levels due to the pandemic were sub-optimal psychological health, including high diabetes distress levels.

CONCLUSION

Findings indicate that many people with diabetes changed diabetes self-management behaviors during the pandemic, mostly in a negative direction. Particularly high diabetes distress levels in the beginning of the pandemic was a predictor of both positive and negative change in diabetes self-management, indicating that people with high diabetes distress levels could potentially benefit from increased support in diabetes care during a period of crisis.

COVID-19 Lockdown and Lifestyle Changes in Saudi Adults With Types 1 and 2 Diabetes

Objective

We aimed to evaluate and compare the impact of COVID-19 lockdown on lifestyle changes and other common related effects of the lockdown in Saudi adults with diabetes mellitus (DM), both type 1 (T1D) and type 2 diabetes (T2D).

Methods

265 T1D and 285 T2D individuals were included in this cross-sectional survey during lockdown using an online questionnaire and compared with 297 participants without DM. Variables included demographics, treatment changes, use of supplements, change in sleeping habits and physical activity, dietary changes, social and mental health, and education and awareness during COVID-19 lockdown.

Results

The COVID-19 lockdown was associated with more treatment doses in people with T1D but not in those with T2D (p = 0.003). More participants with T1D and T2D than the control group reported that they felt symptoms of depression during lockdown (ORs of 1.83, p = 0.008 and 2.2, p = 0.001, respectively) and that lockdown affected them psychologically (ORs of 1.64, p = 0.019 and 1.85, p = 0.005, respectively). More participants with T1D than controls reported that their physical activity decreased during lockdown (OR of 2.70, p = 0.024). Furthermore, significantly lesser participants in both DM groups than controls agreed that the health education regarding COVID-19 covered everything (ORs of 0.41, p < 0.001 and 0.56, p < 0.001, respectively for T1D and T2D groups). Regarding dietary habits, the DM groups reported more changes in either the number of daily meals, meal content, or mealtimes than the control group.

Conclusions

COVID-19 lockdown-associated lifestyle changes were more prevalent in individuals with T1D and T2D compared to control. Findings may assist public health authorities in outlining their responses in pandemics and promote healthy lifestyle adaptations in this high-risk cohort to limit adverse effects in future lockdowns.

Diabetes Control in a Student-Run Free Clinic During the COVID-19 Pandemic

Student run free health clinics (SRFCs) provide medical care to vulnerable populations in communities throughout the United States. The COVID-19 pandemic had a significant impact on the delivery of healthcare services and demanded a rapid adjustment in care delivery methods in both resource-rich and resource-poor settings. The aim of this study is to evaluate the impact of the pandemic on the management of chronic disease, specifically diabetes. Patients with diabetes who received care continuously throughout the pre-pandemic (face-to-face) and pandemic (telehealth) study periods at MedZou Community Health Center, a SRFC located in central Missouri, were evaluated. This sample of patients (n = 29) was evaluated on six quality measures including annual eye exams, blood pressure, hemoglobin A1c, chronic kidney disease monitoring, flu vaccination, and statin therapy. Overall diabetes care, as measured by the number of quality measures met per patient, decreased by 0.37 after the onset of the pandemic. The median COVID-era ranks were not statistically significantly different than the pre-pandemic ranks (z = 1.65, P = 0.099). Fewer patients received an influenza vaccination the year following the onset of the pandemic (10.3%) compared to the year before the pandemic (37.9%; difference in proportions 0.276, 95% CI 0.079, 0.473; p = 0.005). No other individual measures of diabetes care statistically differed significantly in the year after the pandemic began. Twenty-six (90%) patients received diabetes care using telehealth after the onset of the pandemic. Diabetes care using telehealth in a SRFC may be an acceptable alternative model when face-to-face visits are not feasible. Observed decreases in diabetes-related clinical quality measure performance warrant further study.

COVID-19 and Cardiometabolic Health: Lessons Gleaned from the Pandemic and Insights for the Next Wave

Purpose of Review

To review the current evidence regarding the impact of the coronavirus disease 2019 (COVID-19) pandemic on cardiometabolic health, with a focus on strategies to help mitigate adverse effects on population health.

Recent Findings

Individuals with cardiometabolic disease are particularly vulnerable to worse outcomes with COVID-19 infection. In addition, the pandemic itself has had significant deleterious impact on the cardiometabolic health of the population, including declines in physical activity, increases in smoking and alcohol use, worsening blood pressure and glycemic control, and detrimental effects on mental health. Targeted interventions at the patient and community level will be needed to mitigate the long-term consequences of the COVID-19 pandemic on population cardiometabolic health.

Summary

The COVID-19 pandemic has worsened cardiometabolic health, but there are several opportunities and enhanced tools available to counteract these changes.

Impact of decreased physical activity due to COVID restrictions on cardio-metabolic risk parameters in Indian children and youth with type 1 diabetes

BACKGROUND AND AIMS

Implementation of COVID restrictions following lockdown led to changes in routines of subjects with type 1 diabetes due to closure of schools and outdoor activities. The aim of this study was to assess the impact of decreased physical activity due to COVID restrictions on cardio-metabolic risk parameters (waist circumference, laboratory and body composition parameters) in Indian children and youth with T1D.

METHODS

This observational study included 312 participants (2-21 years) with T1DM having disease duration of ≥6 months. Demographic, anthropometric, body composition data and investigations were recorded at two time points (during COVID restrictions when children came for follow up, pre COVID restriction data from medical and electronic records).

RESULTS

Glycemic control improved during COVID restrictions (Hba1c: 9.8 ± 2.0%) as compared to pre COVID restrictions (Hba1C: 10.0 ± 1.9%) (p < 0.05). However, due to significant reduction in physical activity (p < 0.05) there was significant increase in waist circumference z-scores (-0.9 ± 1.1 vs -1.6 ± 1.1), body fat percentage z-scores (-0.2 ± 1.0 vs -0.3 ± 0.9) and lipid parameters like cholesterol, low density lipid cholesterol and triglyceride concentrations (p < 0.05) without any significant change in body mass index z-scores (p > 0.05).

CONCLUSIONS

Prolonged COVID restrictions, although led to modest improvement in glycemic control, there was worsening of cardio-metabolic risk factors or indices of adiposity like waist circumference, body fat percentage and lipid parameters which could be attributed to decreased time spent in physical activity.

Lifestyles Under Lockdown: A Scoping Review of International Studies on Type 2 Diabetes Self-Management Behaviors During COVID-19

Background

The effect of the COVID-19 pandemic on diabetes self-management behaviors is unclear.

Objectives

This paper is a scoping review of studies examining health behaviors among people with type 2 diabetes during the COVID-19 pandemic.

Eligibility Criteria

We searched articles available in English using the Search terms “COVID” and “diabetes”, and, separately, each of the following terms: “lifestyle”, “health behavior”, “self-care”, “self-management”, “adherence”, “compliance”, “eating”, “diet”, “physical activity”, “exercise”, “sleep”, “self-monitoring of blood glucose”, or “continuous glucose monitoring”.

Sources of Evidence

We searched PubMed, PsychInfo, and Google Scholar databases from December 2019 through August 2021.

Charting Methods

Data were extracted by 4 calibrated reviewers and study elements were charted.

Results

The search identified 1,710 articles. After screening for relevance and eligibility, 24 articles were included in this review. Findings show the strongest evidence for reduced physical activity and stable glucose monitoring and substance use. There was equivocal evidence for deleterious changes in sleep, diet, and medication intake. With one minor exception, there was no evidence for favorable changes in health behaviors. Limitations of the literature include small samples, predominantly cross-sectional study designs, reliance on retrospective self-reports, sampling through social media, and few standardized measures.

Conclusions

Early studies of health behaviors among people with type 2 diabetes during the COVID-19 pandemic suggest a need for novel interventions to support diabetes self-management, especially targeting physical activity. Future studies should go beyond documenting changes in health behaviors and examine predictors of change over time.

Experiences of Hispanic Safety Net Clinic Patients With Diabetes During the COVID-19 Pandemic

PURPOSE

The purpose of this study was to characterize the material, health (general and diabetes-specific), and social impacts of the COVID-19 pandemic on Hispanic adults with type 2 diabetes who did not experience COVID-19 infection.

METHODS

This cross-sectional and longitudinal study used surveys within a clinical trial of 79 Hispanic adult clinic patients with type 2 diabetes. Cross-sectional measures included the Coronavirus Anxiety Scale, items from the Coronavirus Impact Scale, and the Pandemic Impacts Inventory. Longitudinal measures included the Summary of Diabetes Self-Care, health care utilization, and measures of diabetes self-efficacy, social support, and quality of life.

RESULTS

Participants were majority low-income, Spanish-speaking females with poor diabetes control. Coronavirus anxiety was low despite majority of participants having an affected family member and frequent access barriers. More than half of participants reported moderate/severe pandemic impact on their income. Diabetes self-care behaviors did not change between prepandemic and pandemic measures. Diabetes self-efficacy and quality of life improved despite fewer diabetes-related health care visits.

CONCLUSIONS

Despite high levels of access barriers, financial strain, and COVID-19 infection of family members, Hispanic adults with type 2 diabetes continued to prioritize their diabetes self-management and demonstrated substantial resilience by improving their self-efficacy and quality of life.

The Effects of COVID-19 Lockdown on Glycaemic Control and Lipid Profile in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis

The impact of the COVID-19 lockdown on glycaemic control and other metabolic parameters in patients with type 2 diabetes is still evolving. Aim: This systematic review and meta-analysis aims to examine the effects of COVID-19 lockdown on glycaemic control and lipid profile in patients with type 2 diabetes. Methods: The PRISMA framework was the method used to conduct the systematic review and meta-analysis, and the search strategy was based on the population, intervention, control and outcome (PICO) model. The Health Sciences Research databases was accessed via EBSCO-host, and EMBASE were searched for relevant articles. Searches were conducted from inception of the databases until 17 September 2021. Results: The results identified three distinct areas: glycaemic control, lipid parameters and body mass index. It was found that COVID-19 lockdown led to a significant (p < 0.01) increase in the levels of glycated haemoglobin (%) compared with pre-COVID group (gp) with a mean difference of 0.34 (95% CI: 0.30, 0.38). Eleven studies contributed to the data for glycated haemoglobin analysis with a total of 16,895 participants (post-COVID-19 lockdown gp, n = 8417; pre-COVID gp, n = 8478). The meta-analysis of fasting plasma glucose (mg/dL) also showed a significant (p < 0.05) increase in levels of post-COVID-19 lockdown gp compared with pre-COVID gp, with a mean difference of 7.19 (95% CI: 5.28, 9.10). Six studies contributed to fasting plasma glucose analysis involving a total of 2327 participants (post-COVID-19 lockdown, n = 1159; pre-COVID gp, n = 1168). The body mass index (BMI) (kg/m²) analysis also demonstrated that post-COVID-19 lockdown gp had a significantly (p < 0.05) higher BMI than the pre-COVID gp with a mean difference of 1.13 (95% CI: 0.99; 1.28), involving six studies and a total of 2363 participants (post-COVID-19 lockdown gp, n = 1186; pre-COVID gp, n = 1177). There were significantly (p < 0.05) lower levels of total cholesterol (mmol/L), triglyceride (mmol/L) and LDL cholesterol (mmol/L), and higher levels of HDL cholesterol (mg/dL) in the post-COVID-19 lockdown gp compared with pre-COVID gp, although these results were not consistent following sensitivity analysis. Conclusion: The findings of the systematic review and meta-analysis have demonstrated that COVID-19 lockdown resulted in a significant increase (p < 0.05) in the levels of glycated haemoglobin, fasting glucose and body mass index in patients with type 2 diabetes. In contrast, the effect of the lockdown on lipid parameters, including total cholesterol, triglycerides, LDL and HDL cholesterol was not consistent.

Impact of the COVID-19 Pandemic on Glycemic Control and Blood Pressure Control in Patients with Diabetes in Japan

Objective In this study, we investigated whether and how the COVID-19 pandemic affected glycemic control and blood pressure (BP) control in patients with diabetes mellitus (DM). Methods DM patients whose HbA1c level was measured regularly before and after the declaration of a state of emergency were included in this study. Some patients were given questionnaires about changes in their lifestyle to determine the factors affecting glycemic control and BP control. Results The median HbA1c level of the 804 patients increased significantly from 6.8% before the state of emergency to 7.1% and 7.0% during and after the state of emergency, respectively. This was in contrast to the decrease one year earlier due to seasonal variations. In the 176 patients who responded to the questionnaire, the HbA1c level also increased significantly during and after the state of emergency. The worsening of glycemic control was more pronounced in the group that had achieved HbA1c of <7% before the state of emergency than in those with higher values. Unlike the rise in HbA1c, the BP did not rise during the state of emergency but did rise significantly afterwards. There was no marked decrease in HbA1c or BP after the state of emergency, even in patients who responded that they were much more careful with their diet, ate less, or exercised more. Conclusions The COVID-19 pandemic worsened glycemic control and BP control, even in patients who perceived no marked change in their diet or exercise, suggesting that more active lifestyle guidance is necessary for good treatment of DM patients.

Diabetes mellitus and COVID-19: review of a lethal interaction from the cellular and molecular level to the bedside

INTRODUCTION

While the main mode of transmission of coronavirus disease 2019 (COVID-19) is close contact with other individuals, the presence of chronic underlying diseases such as Diabetes Mellitus (DM) increases the chance of hospitalization and mortality rate due to infection.

AREAS COVERED

To investigate the effects of COVID-19 infection in DM patients, we reviewed literature from Google Scholar search engine and PubMed database from '2013 to 2020' using the terms "COVID-19; SARS-CoV-2; Diabetes mellitus; obesity; Angiotensin-converting enzyme 2; ACE2; Insulin and Metformin. Evidence suggests that COVID-19 exacerbates the course of diabetes. Presence of pro-inflammatory conditions, increased expression of receptors, and more difficult control of glucose levels in diabetics COVID-19 patients are some of the problems that diabetic patients may face. Also, psychological problems caused by the COVID-19 epidemic in diabetic patients is one of the most important problems in these patients, which is less covered.

EXPERT OPINION

DM is a strong and independent risk factor with a poor prognosis, which increases the risk of COVID-19 infection, the need for emergency services, the rate of hospitalization in the intensive care unit and also increases the mortality rate of COVID-19 patients.

Association between the reduction of face-to-face appointments and the control of patients with type 2 diabetes mellitus during the Covid-19 pandemic in Catalonia

AIM

To analyse the relation between face-to-face appointments and management of patients with type 2 diabetes mellitus (T2DM) visited in primary care practices (PCP).

METHODS

Retrospective study in 287 primary care practices (PCPs) attending>300,000 patients with T2DM. We analysed the results of 9 diabetes-related indicators of the Healthcare quality standard, comprising foot and retinopathy screening, blood pressure (BP) and glycemic control; and the incidence of T2DM. We calculated each indicator's percentage of change in 2020 with respect to the results of 2019.

RESULTS

Indicators' results were reduced in 2020 compared to 2019, highlighting the indicators of foot and retinopathy screening (-51.6% and -25.7%, respectively); the glycemic control indicator (-21.2%); the BP control indicator (-33.7%) and the incidence of T2DM (-25.6%). Conversely, the percentage of type 2 diabetes patients with HbA1c > 10% increased by 34%. PCPs with<11 weekly face-to-face appointments offered per professional had greater reductions than those PCPs with more than 40. For instance, a reduction of -60.7% vs -38.2% (p-value < 0.001) in the foot screening's indicator; -27.5% vs -12.5% (p-value < 0.001) in glycemic control and -40.2 vs -24.3% (p-value < 0.001) in BP control.

CONCLUSIONS

Reducing face-to-face visits offered may impact T2DM patients' follow-up and thus worsen their control.

HealthyLIFE, a Combined Lifestyle Intervention for Overweight and Obese Adults: A Descriptive Case Series Study

(1) Background: The aim of this study is to investigate changes over time in participants of healthyLIFE, a Combined Lifestyle Intervention (CLI) based on the Coaching on Lifestyle (CooL) intervention. This study focuses on changes in behavior, physical fitness, motivation and Positive Health eight months after the start of the intervention. (2) Methods: In total, 602 Dutch adults, meeting the CLI inclusion criteria, were included from January 2018 until October 2020 in this descriptive case series study. We collected a broad set of data regarding weight/BMI, physical fitness, motivation, self-efficacy, social influence, personal barriers and needs towards food and physical activity and perceived personal health by means of the six dimensions of Positive Health. (3) Results: Eight months after baseline, positive effects of the intervention were found on most outcome measures. We found an increase in all measured aspects of physical fitness (stamina, flexibility, mobility, hand grip strength and BMI). Dietary changes were limited during the healthyLIFE intervention, except for fruit consumption (increase with an effect size of 0.42). The largest effect sizes were found for the dimensions of Positive Health ranging from 0.41 to 0.68. (4) Conclusion: The healthyLIFE intervention is successful in improving participants’ BMI, physical fitness, and perceived physical, mental and social health. A broad health perspective, beyond physical measurements, is recommended when studying effects of the CLI.

Impact of COVID-19 related home confinement measures on the lifestyle, body weight, and perceived glycemic control of diabetics

Background

People with Diabetes Mellitus are at high risk of encountering COVID-19 infection and are more vulnerable to the negative repercussions of this infection. In this study we aimed to explore the impact of COVID-19 related home confinement measures on physical activity, dietary habits, body weight and perceived glycemic control of adults with type 2 Diabetes Mellitus (T2DM) in Qatar.

Methods

A cross sectional web-based survey was conducted between January and February 2021 targeting adults ≥18 years with T2DM.

Results

Over 40% of the participants reported unhealthy dietary changes. We found a significant increase in the sitting/reclining, and screen times. One third of the participants reported weight gain, while one fifth reported poorer glycemic control since the start of home confinement measures. We found that reporting at least one unhealthy dietary change (p < 0.001) and being a female (p = 0.002) were significantly associated with reporting greater weight gain. Participants who reported five unhealthy dietary behaviours were more than seven times more likely to perceive poorer glycemic control during home confinement measures compared to those who did not report any unhealthy changes (OR: 7.27, 95%CI 1.60–33.5, p = 0.011).

Conclusion

Adults with T2DM experienced adverse lifestyle changes during COVID-19 related home confinement measures. Further research is needed to investigate the persistence of such changes in the post pandemic era.

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One third of the participants reported weight gain.

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Participants reported a significant increase in each of the sitting/reclining and screen times.

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The perceived glycemic control varied among the participants.

ICT-Guided Glycemic Information Sharing Through Artificial Neural Telecare Network

The revolutionary and retrospective changes in the use of ICT have propelled the introduction of telecare health services in the crucial corona virus pandemic times. There have been revolutionary changes that happened with the advent of this novel corona virus. The proposed technique is based on secured glycemic information sharing between the server and users using artificial neural computational learning suite. Using symmetric Tree Parity Machines (TPMs) at the server and user ends, salp swarm-based session key has been generated for the proposed glycemic information modular encryption. The added taste of this paper is that without exchanging the entire session key, both TPMs will get full synchronized in terms of their weight vectors. With rise in the intake of highly rated Glycemic Indexed (GI) foods in today’s COVID-19 lockdown lifestyle, it contributes a lot in the formation of cavities inside the periodontium, and several other diseases likes of COPD, Type I and Type II DM. GI-based food pyramid depicts the merit of the food in the top to bottom spread up approach. High GI food items helps in more co-morbid diseases in patients. It is recommended to have foods from the lower radars of the food pyramid. The proposed encryption with salp swarm-generated key has been more resistant to Man-In-The-Middle attacks. Different mathematical tests were carried on this proposed technique. The outcomes of those tests have proved its efficacy, an acceptance of the proposed technique. The total cryptographic time observed on four GI modules was 0.956 ms, 0.468 ms, 0.643 ms, and 0.771 ms.

Impact of COVID-19 restrictions on diabetes health checks and prescribing for people with type 2 diabetes: a UK-wide cohort study involving 618 161 people in primary care

Objective

To compare rates of performing National Institute for Health and Care Excellence-recommended health checks and prescribing in people with type 2 diabetes (T2D), before and after the first COVID-19 peak in March 2020, and to assess whether trends varied by age, sex, ethnicity and deprivation.

Methods

We studied 618 161 people with T2D followed between March and December 2020 from 1744 UK general practices registered with the Clinical Practice Research Datalink. We focused on six health checks: haemoglobin A1c, serum creatinine, cholesterol, urinary albumin excretion, blood pressure and body mass index assessment. Regression models compared observed rates in April 2020 and between March and December 2020 with trend-adjusted expected rates derived from 10-year historical data.

Results

In April 2020, in English practices, rates of performing health checks were reduced by 76%–88% when compared with 10-year historical trends, with older people from deprived areas experiencing the greatest reductions. Between May and December 2020, the reduced rates recovered gradually but overall remained 28%–47% lower, with similar findings in other UK nations. Extrapolated to the UK population, there were ~7.4 million fewer care processes undertaken March–December 2020. In England, rates for new medication fell during April with reductions varying from 10% (95% CI: 4% to 16%) for antiplatelet agents to 60% (95% CI: 58% to 62%) for antidiabetic medications. Overall, between March and December 2020, the rate of prescribing new diabetes medications fell by 19% (95% CI: 15% to 22%) and new antihypertensive medication prescribing fell by 22% (95% CI: 18% to 26%), but prescribing of new lipid-lowering or antiplatelet therapy was unchanged. Similar trends were observed across the UK, except for a reduction in new lipid-lowering therapy prescribing in the other UK nations (reduction: 16% (95% CI: 10% to 21%)). Extrapolated to the UK population, between March and December 2020, there were ~31 800 fewer people with T2D prescribed a new type of diabetes medication and ~14 600 fewer prescribed a new type of antihypertensive medication.

Conclusions

Over the coming months, healthcare services will need to manage this backlog of testing and prescribing. We recommend effective communications to ensure patient engagement with diabetes services, monitoring and opportunities for prescribing, and when appropriate use of home monitoring, remote consultations and other innovations in care.

Influence of COVID-19 pandemic and related quarantine procedures on metabolic risk

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has changed the lives of many people across the globe. In addition to the effect of the virus on the biological functions in those infected individuals, many countries have launched government policy with additional impact of these quarantine procedures on the metabolic health of many people worldwide. This mini-review aimed to highlight current evidence regarding the influence of metabolic health due to these quarantine procedures including decrease in physical activity, changes in unhealthy eating habits, increase in stress, and provide recommendations of healthy lifestyle during COVID-19 pandemic.

Effects of a Home-Based Lifestyle Intervention Program on Cardiometabolic Health in Breast Cancer Survivors during the COVID-19 Lockdown

This study aimed to evaluate the cardiometabolic effects of a home-based lifestyle intervention (LI) in breast cancer survivors (BCSs) during the COVID-19 lockdown. In total, 30 BCSs (women; stages 0-II; non-metastatic; aged 53.5 ± 7.6 years; non-physically active; normal left ventricular systolic function) with a risk factor for recurrence underwent a 3-month LI based on nutrition and exercise. Anthropometrics, Mediterranean diet adherence, physical activity level (PAL), cardiorespiratory fitness (VO2max), echocardiographic parameters, heart rate variability (average standard deviation of NN intervals (ASDNN/5 min) and 24 h very- (24 hVLF) and low-frequency (24 hLF)), and metabolic, endocrine, and inflammatory serum biomarkers (glycemia, insulin resistance, progesterone, testosterone, and high-sensitivity C-reactive protein (hs-CRP)) were evaluated before (T0) and after (T1) the LI. After the LI, there were improvements in: body mass index (kg/m2: T0 = 26.0 ± 5.0, T1 = 25.5 ± 4.7; p = 0.035); diet (Mediet score: T0 = 6.9 ± 2.3, T1 = 8.8 ± 2.2; p < 0.001); PAL (MET-min/week: T0 = 647 ± 547, T1 = 1043 ± 564; p < 0.001); VO2max (mL·min-1·kg-1: T0 = 30.5 ± 5.8, T1 = 33.4 ± 6.8; p < 0.001); signs of diastolic dysfunction (participants: T0 = 15, T1 = 10; p = 0.007); AS-DNN/5 min (ms: T0 = 50.6 ± 14.4, T1 = 55.3 ± 16.7; p = 0.032); 24 hLF (ms2: T0 = 589 ± 391, T1 = 732 ± 542; p = 0.014); glycemia (mg/dL: T0 = 100.8 ± 11.4, T1 = 91.7 ± 11.0; p < 0.001); insulin resistance (HOMA-IR score: T0 = 2.07 ± 1.54, T1 = 1.53 ± 1.11; p = 0.005); testosterone (ng/mL: T0 = 0.34 ± 0.27, T1 = 0.24 ± 0.20; p = 0.003); hs-CRP (mg/L: T0 = 2.18 ± 2.14, T1 = 1.75 ± 1.74; p = 0.027). The other parameters did not change. Despite the home-confinement, LI based on exercise and nutrition improved cardiometabolic health in BCSs.