BACKGROUND: The long-term impact of symptom classification on quality of life (QOL) and economic outcomes among individuals with long coronavirus disease (COVID) remains poorly understood. This study aimed to clarify the situation of long COVID in Japan by analyzing patients using cluster classification. METHODS: This multicenter, retrospective cohort study enrolled 515 patients with COVID-19 and followed up for 36 months via standardized questionnaires. Patients were classified based on: 1) symptom trajectory over time and 2) symptom cluster profiles at 3 months. RESULTS: While the number of symptoms decreased, fatigue and dyspnea frequently persisted, whereas anosmia and dysgeusia declined. Cough and sputum decreased gradually. The proportion of patients with 5-9 symptoms increased. The mean (interquartile range) presenteeism scores were lower in the continuous (60 [50-80]) and relapse groups (65 [48-80]) than in the recovered group (70 [50-80]). The multiple symptoms cluster had the worst SF-36, presenteeism, and absenteeism scores (47.2 [44.7-49.8], 48.8 [27.5-72.5], and 10.9 [0.0-11.0], respectively). CONCLUSIONS Patients with continuous and multiple symptoms experienced persistently lower QOL and greater economic burden up to 36 months after COVID-19 diagnosis. The long-term effects of long COVID are not only physical but also mental and economical. Thus, further research is needed to clarify the economical and physiological impact of long COVID.
Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; COVID-19/complications* ; Japan/epidemiology* ; Post-Acute COVID-19 Syndrome/psychology* ; Quality of Life ; Retrospective Studies ; Surveys and Questionnaires ; East Asian People

Objective: Because patients with diabetes mellitus (DM) were forced to stay indoors during the state of emergency, resulting in stress and a lack of physical activity, concerns about their glycemic control were raised.Patients and Methods: The 165 patients’ glycated hemoglobin (HbA1c) levels were compared during the following periods: the 4 months that were selected as a representative condition 1 year before the COVID-19 pandemic (May 2018, March 2019, June 2019, and July 2019) and the latter 3 months as a 1-year follow-up during the COVID-19 pandemic (May 2019, March 2020, June 2020, and July 2020).Results: The patients’ HbA1c levels were 7.32 ± 1.23, 7.44 ± 1.20, 7.16 ± 1.06, 7.01 ± 1.05, 7.23 ± 1.06, 7.45 ± 1.18, 7.15 ± 10.7, and 7.11 ± 1.17 in May 2018, March 2019, June 2019, July 2019, May 2019, March 2020, June 2020, and July 2020, respectively (expressed as mean ± standard deviation).Conclusion: The analysis showed that HbA1c levels did not worsen during the self-restraint period.

Objectives: Physical activity to maintain bone mass and strength is important for hip fracture prevention. We aim to investigate the relationship between physical performance/activity status and bone mineral density (BMD)/hip structural analysis (HSA) parameters among postmenopausal women in Japan. Methods: Sixty-two postmenopausal women diagnosed with osteoporosis (mean age: 72.61 ± 7.43 years) were enrolled in this cross-sectional observational study. They were evaluated for BMD and HSA in the proximal femur by dual-energy X-ray absorptiometry and underwent several physical performance tests, the Geriatric Locomotive Function Scale of 25 questions (GLFS-25). Principal component analysis (PCA) was used to summarize data on the BMD/HSA parameters. Partial correlation analysis, multiple regression analysis, and structural equation modeling (SEM) were performed to investigate the relationship between physical performance/activity status and BMD/HSA parameters of the proximal femur. Results: In a partial correlation analysis adjusted for age and body mass index (BMI), GLFS-25 scores were correlated with HSA parameter (|r| = 0.260–0.396, P < 0.05). Principal component 1 (PC1) calculated by PCA was interpreted as more reflective of bone strength based on the value of BMD/HSA parameters. The SEM results showed that the model created by the 3 questions (Q13, brisk walking; Q15, keep walking without rest; Q20, load-bearing tasks and housework) of the GLFS-25 had the best fit and was associated with the PC1 score (β = −0.444, P = 0.001). Conclusions The GLFS-25 score was associated with the BMD/HSA parameter, which may reflect the bone strength of the proximal femur as calculated by PCA.