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1.
J Ren Nutr ; 2023 Jun 10.
Article in English | MEDLINE | ID: covidwho-20237734

ABSTRACT

OBJECTIVE: To investigate the effect of coronavirus disease 2019 (COVID-19) on diet, stress, and sleep in Japanese patients with hemodialysis. METHODS: Data on nutritional intake, frequency of food intake by cuisine, dietary behavior, and frequency of food use before and during the declaration of the state of emergency due to COVID-19, were collected. RESULTS: For the 81 participants (47 men), changes were observed in the following diet-related items: nutrition and nutrient content (one item for men, three for women), eating behavior, and frequency of food use (1 item for men, six for women), and the total number of items was two for men and nine for women. Nine out of 12 questions addressed stress and six out of eight questions addressed sleep, with a higher percentage of women adversely affected and no item with a higher percentage of men adversely affected. The mean score for stress was 25.3 ± 5.1 for men and 29.5 ± 5.0 for women, P < .001, and for sleep disturbance was 11.6 ± 3.0 for men and 14.4 ± 4.4 for women, P < .001. CONCLUSIONS: In patients with hemodialysis, the effect of refraining from going out due to the spread of COVID-19 on diet, sleep, and stress was suggested to be more significant in women than in men.

2.
Heliyon ; 8(1): e08801, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1654476

ABSTRACT

Diabetes is a common comorbidity in patients with coronavirus disease (COVID-19) and contributes significantly to COVID-19 severity. We aimed to investigate the association between diabetic status and severe COVID-19. This prospective study included all COVID-19 patients admitted to our hospital, who were divided into four groups according to their diabetic status: no diabetes, treated diabetes, untreated diabetes, and COVID-19-related diabetes. Severe COVID-19 was defined as a condition that required the use of a ventilator. Of the 114 patients included in this study, 26 had severe COVID-19. The adjusted odds ratio (OR; 95% confidence interval [CI]) for severe COVID-19 was significantly higher in the treated diabetes, untreated diabetes, and COVID-19-related diabetes groups than in the no diabetes group (OR: 5.9, 95% CI [1.2-27.9]; OR 12.6, 95% CI [1.8-86.4]; and OR: 9.3, 95% [1.1-81.4], respectively). Findings from this study showed that the risk of severe COVID-19 was increased in treated diabetes, untreated diabetes, and COVID-19-related diabetes compared to no diabetes. Furthermore, the OR for severe COVID-19 was greater in untreated diabetes and COVID-19-related diabetes than in treated diabetes.

3.
J Clin Biochem Nutr ; 69(3): 305-310, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1256337

ABSTRACT

The spread of coronavirus disease 2019 (COVID-19) has led to drastic changes in people's lifestyles, including teleworking and restrictions on socializing. In the context of observing social distancing for preventing infection, the need to maintain fitness and health has attracted particular attention. We aimed to determine the relationship between the increase in the number of active users of online diet management applications and COVID-19 infection rates in Japan. A total of 1.5 million rows of log data was analyzed. The active number of users of online diet management applications increased with increase in the number of COVID-19 infections. The active user number in Kanagawa Prefecture, where the first cases of COVID-19 were reported in Japan, was particularly high. Moreover, there was a significant increase in the user number in prefectures under a state of emergency when compared to that in prefectures not under a state of emergency. The social anxiety caused by COVID-19 is expected to increase the demand for online health management applications further. The use of such programs can aid in achieving social distancing while enabling users to maintain healthy lifestyles.

4.
Diabetol Int ; 13(1): 85-90, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1198520

ABSTRACT

Background: To investigate the acute effects of coronavirus disease (COVID-19) on lifestyle and metabolic parameters in patients with type 1 diabetes (T1D). Methods: This retrospective cohort study included 34 patients who were admitted to our hospital from April 16 to May 1, 2020. Data on stress levels, sleep duration, exercise, total diet, snacks, and prepared food intake were obtained from the questionnaires. Changes in the values of hemoglobin A1c (HbA1c) and body weight from 3 months before the administration of the questionnaire to the time the study questionnaire was administered (pandemic year), and those from 15 months before to 12 months before the administration of the questionnaire (pre-pandemic year) were evaluated. Results: Increased stress levels and decreased exercise volumes were observed in approximately 60% and 50% of participants during the COVID-19 pandemic, respectively. Decreased sleep duration was associated with changes in the body weight for 3 months during pandemic year (r = - 0.40, p = 0.043). Furthermore, compared with changes in HbA1c for 3 months during pre-pandemic year, changes in HbA1c during the pandemic year were worse (0.12% [0.33] % during pandemic year vs. - 0.09 [0.39] % during pre-pandemic year, p = 0.027). Conclusions: Many patients experienced stress and exercised less due to the COVID-19 pandemic. Glycemic control in patients with T1D was worse than that in the previous year. Since the pandemic is currently ongoing, more attention should be paid to stress and lifestyle factor management in patients with T1D. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-021-00507-4.

5.
Endocr J ; 68(2): 201-210, 2021 Feb 28.
Article in English | MEDLINE | ID: covidwho-1110113

ABSTRACT

To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 2 diabetes mellites. This cross-sectional and retrospective cohort study induced 203 patients who completed a questionnaire regarding stress levels and lifestyles. Data regarding stress levels, sleep time, exercise, and total diet, snack, and prepared food intake were obtained from the questionnaires. The changes in the body weight or HbA1c levels were determined by comparing the values at the time the questionnaire was administered to those noted 3 months ago. Increased levels of stress and decreased exercise levels were reported in approximately 40% and >50%. During the COVID-19 pandemic. There was a negative correlation between stress and exercise (r = -0.285, p < 0.001) and a positive correlation between stress and prepared food intake (r = 0.193, p = 0.009). Decreased exercise levels (r = -0.33, p < 0.001) and increased snack consumption (r = 0.24, p = 0.002) were associated with increased body weight. Furthermore, increased total diet intake (r = 0.16, p = 0.031) was associated with increased HbA1c levels. These relationships remained significant for patients aged <65 years and patients who did not engage in regular exercise. Many patients experienced stress and lifestyle changes due to the COVID-19 pandemic, and these changes were associated with increased body weight and HbA1c levels.


Subject(s)
Body Weight , COVID-19 , Diabetes Mellitus, Type 2/metabolism , Diet , Exercise , Glycated Hemoglobin/metabolism , Sleep , Stress, Psychological , Aged , Blood Glucose/metabolism , Cross-Sectional Studies , Diabetes Mellitus, Type 2/drug therapy , Fast Foods , Female , Glycemic Control , Humans , Hypoglycemic Agents/therapeutic use , Life Style , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Snacks
6.
Diabetes Technol Ther ; 23(1): 78-80, 2021 01.
Article in English | MEDLINE | ID: covidwho-638125

ABSTRACT

Diabetes is associated with mortality and severity of coronavirus disease (COVID-19). Protecting against infection in health care workers at high risk of COVID-19 is critical. This report investigates the usefulness and safety of remote continuous glucose monitoring (CGM) in a patient with diabetes and severe interstitial pneumonia caused by the coronavirus disease. The Dexcom G4 Platinum CGM system® was used to monitor blood glucose (BG) levels from outside the patient's isolation room. Continuous insulin infusion rates and boluses were determined based on the patient's BG levels. Real-time CGM made it possible to track BG trends and prevent dramatic variations in BG, although the rate of insulin infusion changed dynamic. Furthermore, the need for health care workers to enter the isolation room was minimized because the Dexcom G4 Platinum CGM system can evaluate from a distance of up to 6.0 m.


Subject(s)
Blood Glucose Self-Monitoring/methods , COVID-19/epidemiology , COVID-19/therapy , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/therapy , SARS-CoV-2 , Aged , Blood Glucose/analysis , Comorbidity , Diabetes Mellitus, Type 2/blood , Extracorporeal Membrane Oxygenation , Humans , Insulin/administration & dosage , Male , Renal Dialysis
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