Sleep duration and food intake in people with type 2 diabetes mellitus and factors affecting confectionery intake.

AIMS/INTRODUCTION: We carried out a cross-sectional study of people with type 2 diabetes mellitus to elucidate the association between sleep duration and food intake. MATERIALS AND METHODS: Overall, 2,887 participants with type 2 diabetes mellitus (mean age 63.0 years; 61.1% men; mean glycated hemoglobin level 7.5%) were included in this study. The participants' self-reported dietary habits and sleep duration were evaluated using a brief self-administered dietary history questionnaire and Pittsburgh Sleep Quality Index, respectively. The participants were categorized into the following four groups based on sleep duration: <6, 6-6.9, 7-7.9 (reference) and ≥8 h. RESULTS: No significant differences were observed between the groups regarding energy intake (kcal/day), absolute intake (g/day) or relative intake (% energy) of carbohydrates, total fat, proteins and fibers. However, confectionery intake was higher in the <6 h group and lower in the ≥8 h group than in the reference group after adjustment for confounding factors. In multivariate analysis, sleep durations <6 h and ≥8 h significantly correlated with increased (95% confidence interval 0.55 to 3.6; P = 0.0078) and decreased (95% confidence interval -4.0 to -0.32; P = 0.021) confectionery intake, respectively. Confectionery intake was positively correlated with female sex, glycated hemoglobin level and dyslipidemia, whereas it was negatively correlated with alcohol consumption and current smoking status. CONCLUSIONS: Short sleep duration is associated with high confectionery intake in people with type 2 diabetes mellitus; this might disturb their glycemic control. Therefore, short sleepers with type 2 diabetes mellitus could improve their glycemic control by avoiding confectionery intake and maintaining adequate sleep duration.

Cutaneous manifestations of coronavirus disease 2019 patients in Japan.

Some patients with coronavirus disease 2019 (COVID-19) develop skin manifestations. There may be regional and racial differences in the frequency and type of COVID-19-associated skin manifestations. There are, however, few reports on skin manifestations in COVID-19 patients in Asia, including Japan. We retrospectively investigated the frequency, type, and clinical course of skin manifestations in Japanese patients with COVID-19. From 22 February 2020 to 16 August 2021, 738 Japanese patients (median age 59 years, 55% male) with laboratory-confirmed COVID-19 on polymerase chain reaction or antigen tests were admitted to our hospital. We mainly admitted patients with mild to moderate severity who had symptoms such as cough, fever, and oxygen demand but did not require mechanical ventilation. A total of 2.8% (21/738) of the COVID-19 patients treated at our hospital were diagnosed with viral eruptions caused by COVID-19. Of the 21 patients, 19 developed erythematous papules, and two developed urticaria. There were no cases of pernio-like lesions, known as COVID toes. The median duration from the onset of other COVID-19 symptoms to the development of skin manifestations was 9 days. This study revealed that approximately 2-3% of Japanese patients with COVID-19 developed COVID-19-associated viral eruptions, most of which were erythematous papules.

A cross-sectional study of the relationship between quality of life and sleep quality in Japanese patients with type 1 diabetes mellitus.

This study aimed to reveal the relationship between quality of life (QOL) and sleep quality in patients with type 1 diabetes mellitus (T1DM). Overall, 202 patients with T1DM were registered in our study, and 192 were eligible for analysis. Baseline characteristics and laboratory values were determined. Patients completed the Japanese versions of the Pittsburgh Sleep Quality Index (PSQI) and Diabetes Therapy-Related QOL (DTR-QOL) questionnaires. We investigated the relationship between the global PSQI and DTR-QOL total scores by using linear regression analysis. In univariate regression analysis, DTR-QOL total scores were associated with body mass index, alcohol consumption, hypertension, hemoglobin A1c (HbA1c), and global PSQI score (all p-value <0.05) but not with sleep duration. When the association between PSQI subscales and DTR-QOL total scores was examined, DTR-QOL total scores were significantly related to subjective sleep quality and daytime dysfunction. In a multivariate regression analysis, the global PSQI score was negatively related to DTR-QOL total scores. Patients with an HbA1c concentration ≥8.0% had significantly lower DTR-QOL total scores. We revealed a relationship between QOL and sleep quality in T1DM patients and showed that the relationship between QOL and PSQI subscales in T1DM patients may be different from that in patients with type 2 diabetes mellitus. Assessing and managing sleep quality may be necessary for patients with diabetes to improve QOL.

Efficacy and safety of insulin degludec U100 and insulin glargine U100 in combination with meal-time bolus insulin in hospitalized patients with type 2 diabetes: an open-label, randomized controlled study.

The short-term efficacy and safety of insulin degludec U100 (IDeg) in patients with type 2 diabetes have not been reported widely. We compared insulin IDeg and insulin glargine U100 (IGla) for glycemic control and glucose variability in hospitalized patients with type 2 diabetes. In an open-label, multicenter, randomized controlled trial, 74 patients were randomly assigned to either the IDeg (36 patients) or IGla (38 patients) group and were administered with basal-bolus therapy during hospitalization. Following the start of the treatment, on day 11, glucose variability was assessed by continuous glucose monitoring. A fasting blood glucose level of 110 mg/dL and 2-hour postprandial blood glucose level of 180 mg/dL throughout at least one day during the observation period were achieved in 31.3% (10/32) and 30.6% (11/36) of the patients in the IDeg and IGla groups, respectively. The 6-point self-monitoring of blood glucose profiles showed a significant difference between the two groups. On day 7, the intra-day variation was larger in the IDeg group than in the IGla group. The incidence of hypoglycemia or glucose variability was comparable in the two groups. This study suggests that short-term efficacy and safety of IDeg and IGla in patients with type 2 diabetes during the initial phase of basal-bolus therapy were comparable, and these results can help in deciding which treatment to opt for.

PREVALENCE OF OBSTRUCTIVE SLEEP APNEA DETERMINED BY THE WATCHPAT IN NONOBESE JAPANESE PATIENTS WITH POOR GLUCOSE CONTROL AND TYPE 2 DIABETES.

OBJECTIVE: Diagnosing obstructive sleep apnea (OSA) usually involves high cost, patient inconvenience, and the need for examination at a specialized center. This study employed a portable, wearable, diagnostic device (WatchPAT) to investigate the prevalence of OSA in nonobese Japanese patients with type 2 diabetes. METHODS: Patients with type 2 diabetes were tested for OSA over one night using the WatchPAT. Logistic regression analysis was used to estimate the odds ratios (ORs) of risk factors for OSA in nonobese subjects. RESULTS: A total of 200 eligible patients with type 2 diabetes were studied (64.5% men; aged 60.1 ± 13.6 years; body mass index [BMI], 26.3 ± 5.2 kg/m2). When OSA was defined as apnea-hypopnea index ≥5/hour, its prevalence was 80.5%. The prevalence of OSA in subjects with a BMI <20 kg/m2, ≥20 and <25 kg/m2, ≥25 and <30 kg/m2, and ≥30 kg/m2 was 38.9%, 73.5%, 86.5%, and 97.5%, respectively. The severity of OSA increased in proportion to BMI, especially when the BMI was >25 kg/m2. The prevalence of OSA was also high (66.3%) in normal-weight subjects (BMI <25 kg/m2). Furthermore, the serum triglyceride level (OR, 1.01; 95% confidence interval, 1.00 to 1.02; P = .042) was significantly related to OSA. CONCLUSION: A high prevalence of OSA was observed in this nonobese population of Japanese patients with type 2 diabetes. The triglyceride level was associated with OSA among nonobese patients. ABBREVIATIONS: AHI = apnea-hypopnea Index; BMI = body mass index; CI = confidence interval; ESS = Epworth Sleepiness Scale; HbA1c = glycated hemoglobin; OR = odds ratio; OSA = obstructive sleep apnea; PAT = peripheral arterial tone; T2D = type 2 diabetes; TG = triglyceride.

Dietary survey in Japanese patients with type 2 diabetes and the influence of dietary carbohydrate on glycated hemoglobin: The Sleep and Food Registry in Kanagawa study.

AIMS/INTRODUCTION: The present study investigated the relationship between the macronutrient energy ratio, dietary carbohydrate and glycated hemoglobin levels in Japanese patients with type 2 diabetes, to generate a potential optimal dietary intake of macronutrients for such patients. MATERIALS AND METHODS: In total, 3,032 patients participating in the Sleep and Food Registry in Kanagawa study were evaluated. Their diets were assessed for macronutrient content through a brief self-administered dietary history questionnaire. Relevant biochemical assays were carried out. RESULTS: The mean energy intake (±standard deviation) was 1,711 ± 645 kcal/day. The proportion of energy supplied by protein, fat and carbohydrate were 16.3, 26.8 and 52.3%, respectively. Total fiber intake was 12.6 ± 5.7 g/day. The high glycated hemoglobin (HbA1c) group (HbA1c >8%) had significantly lower protein and higher carbohydrate intake than the low HbA1c group (HbA1c <6.5%). Higher HbA1c levels were positively correlated with unfavorable metabolic factors, including elevated body mass index and excess carbohydrate intake, and negatively correlated with age, protein intake and fiber intake. Multiple regression analysis showed a significant association between HbA1c and carbohydrate intake after adjusting for sex, age and body mass index (0.104, P < 0.0001). Additionally, patients within the uppermost tertile for the percentage of total energy intake from carbohydrate (>60%) were most likely to have high HbA1c levels. HbA1c was significantly correlated with carbohydrate (%E) in all age groups and in patients taking one or two antidiabetic drugs. CONCLUSIONS: The dietary carbohydrate:energy ratio has a positive correlation with HbA1c, suggesting that avoiding excessive carbohydrate intake (>60%) might help foster glycemic control.

Association of usual sleep quality and glycemic control in type 2 diabetes in Japanese: A cross sectional study. Sleep and Food Registry in Kanagawa (SOREKA).

OBJECTIVES: Excessively short and long sleep durations are associated with type 2 diabetes, but there is limited information about the association between sleep quality and diabetes. Accordingly, the present study was performed to investigate this relationship. MATERIALS AND METHODS: The subjects were 3249 patients with type 2 diabetes aged 20 years or older. Sleep quality was assessed by using the Pittsburgh Sleep Quality Index (PSQI). A higher global PSQI score indicates worse sleep quality, and a global PSQI score >5 differentiates poor sleepers from good sleepers. RESULTS: The mean global PSQI score was 5.94 ± 3.33, and 47.6% of the patients had a score of 6 or higher. Regarding the components of the PSQI, the score was highest for sleep duration, followed by subjective sleep quality and then sleep latency in decreasing order. When the patients were assigned to HbA1c quartiles (≤ 6.5%, 6.6-7.0%, 7.1-7.8%, and ≥ 7.9%), the top quartile had a significantly higher global PSQI score than the other quartiles. The top HbA1c quartile had a sleep duration of only 6.23 ± 1.42 hours, which was significantly shorter than in the other quartiles. Also, sleep latency was 25.3 ± 31.8 minutes in the top quartile, which was significantly longer (by approximately 20 minutes) than in the other quartiles. When analysis was performed with adjustment for age, gender, BMI, smoking, and other confounders, the global PSQI score was still significantly higher and sleep duration was shorter in the top HbA1c quartile (HbA1c ≥ 7.9%). CONCLUSIONS: Japanese patients with type 2 diabetes were found to have poor subjective sleep quality independently of potential confounders, especially those with inadequate glycemic control. Impairment of sleep quality was associated with both increased sleep latency and a shorter duration of sleep.