ABSTRACT
AIM: To investigate the impact of the COVID-19 pandemic and its preventive measures on the glycemic and lipid control in people with diabetes mellitus (DM). MATERIALS AND METHODS: We conducted this retrospective cohort study from April 2019 to March 2021; we termed the period from April 2019 to March 2020 as the pre-COVID-19 period, and the period from April 2020 to March 2021 as the COVID-19 period, and divided each of these two periods into four quarters. RESULTS: In the 1st quarter of the COVID period, when the Japanese government declared the first public health emergency, 3,465 people with diabetes mellitus were receiving treatment, which was 10.4% lower than that in the pre-COVID period. The annual mean HbA1c level was significantly elevated in the COVID-19 period. The annual mean total cholesterol (TC) and triglyceride (TG) levels were also significantly higher in the COVID-19 period. Although there were no significant differences in the glycemic control or annual medication between the two periods in people with type 1 diabetes mellitus, the annual mean HbA1c, TC, and TG levels were significantly higher in the COVID-19 period in people with type 2 diabetes mellitus. Furthermore, a significant increase in the percentage of prescriptions for glinides, biguanides, sodium-glucose cotransporter 2 inhibitors, and glucagon-like peptide-1 receptor agonists for people with type 2 diabetes mellitus was observed in the COVID period. CONCLUSIONS: It appears from our study that COVID-19 and its preventive measures had a negative impact on the glycemic and lipid control in people with diabetes mellitus.
ABSTRACT
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.
ABSTRACT
BACKGROUND: During the second wave of COVID-19 in August 2020, the Tokyo Metropolitan Government implemented public health and social measures to reduce on-site dining. Assessing the associations between human behavior, infection, and social measures is essential to understand achievable reductions in cases and identify the factors driving changes in social dynamics. OBJECTIVE: The aim of this study was to investigate the association between nighttime population volumes, the COVID-19 epidemic, and the implementation of public health and social measures in Tokyo. METHODS: We used mobile phone location data to estimate populations between 10 PM and midnight in seven Tokyo metropolitan areas. Mobile phone trajectories were used to distinguish and extract on-site dining from stay-at-work and stay-at-home behaviors. Numbers of new cases and symptom onsets were obtained. Weekly mobility and infection data from March 1 to November 14, 2020, were analyzed using a vector autoregression model. RESULTS: An increase in the number of symptom onsets was observed 1 week after the nighttime population volume increased (coefficient=0.60, 95% CI 0.28 to 0.92). The effective reproduction number significantly increased 3 weeks after the nighttime population volume increased (coefficient=1.30, 95% CI 0.72 to 1.89). The nighttime population volume increased significantly following reports of decreasing numbers of confirmed cases (coefficient=-0.44, 95% CI -0.73 to -0.15). Implementation of social measures to restaurants and bars was not significantly associated with nighttime population volume (coefficient=0.004, 95% CI -0.07 to 0.08). CONCLUSIONS: The nighttime population started to increase after decreasing incidence of COVID-19 was announced. Considering time lags between infection and behavior changes, social measures should be planned in advance of the surge of an epidemic, sufficiently informed by mobility data.