Relationship between diabetes diet-related quality of life and dietary fiber intake among people with type 2 diabetes: a cross-sectional study.

Diet therapy is one of the most important treatments for people with type 2 diabetes (T2D). However, dietary restrictions due to diet therapy may reduce quality of life (QOL). This cross-sectional study aimed to investigate the association between diabetes diet-related QOL and dietary fiber intake in 238 people with T2D. The Diabetes Diet-related Quality of Life-Revised version (DDRQOL-9-R) and the brief-type self-administered diet history questionnaire were used to evaluate diabetes diet-related QOL and nutritional intake, respectively. Higher scores of each DDRQOL-9-R subscale means greater satisfaction with diet, perceived merits of diet therapy, and lower burden of diet therapy, which indicates good QOL. The median scores for perceived merits of diet therapy, satisfaction with diet, and burden of diet therapy were 58.3 [41.7-75.0], 75.0 [66.7-91.7], and 66.7 [50.0-75.0] points, respectively. HbA1c levels in people with high perceived merits of diet therapy (7.3 [6.7-7.8] vs. 7.5 [7.1-8.2] %, p = 0.007) and people with high satisfaction with diet (7.3 [6.8-7.8] vs. 7.5 [7.1-8.4] %, p = 0.010) were lower than those without. Dietary fiber intake was higher in people with high perceived merits of diet therapy (11.6 [8.8-16.7] vs. 10.0 [7.9-13.8] g/day, p = 0.010), high satisfaction with diet (11.4 [8.8-16.1] vs. 9.7 [7.8-13.2] g/day, p = 0.007), and low burden of diet therapy (11.8 [8.7-16.5] vs. 9.7 [7.8-12.6] g/day, p = 0.004) than in those without. Dietary fiber intake was related to perceived merits of diet therapy (Odds ratio [OR]1.07 [95%CI: 1.00-1.15], p = 0.049), burden of diet therapy (OR 0.90 [95%CI: 0.82-0.98], p = 0.022), and satisfaction with diet (OR 1.18 [95%CI: 1.09-1.27], p < 0.001) after adjusting for covariates. Dietary fiber intake is associated with diabetes diet-related QOL in people with T2D.

Dental care and oral conditions are associated with the prevalence of sarcopenia in people with type 2 diabetes: a cross-sectional study.

BACKGROUND: Insulin resistance, which is closely associated with type 2 diabetes mellitus (T2DM), is a cause of sarcopenia and people with T2DM have a high risk of sarcopenia. Keeping good oral condition by dental care is important for people with T2DM. Keeping good oral condition by dental care is important for people with T2DM. This study has investigated the association between dental care or oral conditions and sarcopenia in people with T2DM. METHODS: Dental care and oral conditions were evaluated based on a self-reported questionnaire. Individuals with both low handgrip strength and low skeletal muscle mass index were diagnosed with sarcopenia. RESULTS: Among 266 people with T2DM, the proportions of sarcopenia, not having a family dentist, not having a toothbrushing behavior, poor chewing ability, and use of complete dentures were 18.0%, 30.5%, 33.1%, 25.2%, and 14.3%, respectively. The proportions of sarcopenia in people not having a family dentist (27.2% vs. 14.1%, p = 0.017), those with poor chewing ability (26.9% vs. 15.1%, p = 0.047), and use of complete dentures (36.8% vs. 14.9%, p = 0.002) were higher than those in people without. The proportion of sarcopenia in people without toothbrushing behavior tended to be higher than that in people with toothbrushing behavior (25.0% vs. 14.6%, p = 0.057). Not having a family dentist (adjusted odds ratio [OR] 2.48 [95% confidence interval (CI): 1.21-5.09], p = 0.013), poor chewing ability (adjusted OR 2.12 [95% CI: 1.01-4.46], p = 0.048), and use of complete dentures (adjusted OR 2.38 [95% CI: 1.01-5.99], p = 0.046) were related to the prevalence of sarcopenia. CONCLUSIONS: This study revealed that dental care and oral conditions were associated with the prevalence of sarcopenia.

Relative low muscle mass and muscle strength is associated with the prevalence of metabolic syndrome in patients with type 2 diabetes.

This cross-sectional study investigated the association of metabolic syndrome (MetS) with sarcopenia defined by absolute low muscle mass (aLMM) and absolute low muscle strength (aLMS), or sarcopenia defined by relative low muscle mass (rLMM) and relative low muscle strength (rLMS). The cut-off values for men and women were as follows: aLMM, appendicular muscle mass in kg/height|2 was <7.0 kg/m|2 and <5.7 kg/m|2; rLMM, appendicular muscle mass/body weight ×100 was <28.64% and <24.12%; aLMS, handgrip strength was <28 kg and <18 kg; and rLMS, handgrip strength/body weight ×100 was 51.26% and 35.38%. Among 207 men and 164 women, 41.5% men and 57.3% women had MetS, 14.0% men and 6.1% women had sarcopenia as defined by aLMM and aLMS, and 14.0% men and 22.0% women had sarcopenia defined by rLMM and rLMS. Compared with non-sarcopenia, adjusted OR of sarcopenia defined by aLMM and aLMS for the prevalence of MetS was 0.79 (95% CI 0.38-1.67), whereas that of sarcopenia defined by rLMM and rLMS for the prevalence of MetS was 20.6 (95% CI 7.81-54.3). Sarcopenia defined by rLMM and rLMS was associated with the risk of prevalence of MetS, whereas sarcopenia defined by aLMM and aLMS was not.

Sarcopenic obesity is associated with macroalbuminuria in patients with type 2 diabetes: a cross-sectional study.

Sarcopenia is associated with the risk of albuminuria in patients with type 2 diabetes mellitus (T2DM), and obesity is a risk factor for proteinuria. However, the association between sarcopenic obesity and diabetic nephropathy, including albuminuria, in patients with T2DM has not been reported. The study included 206 men and 163 women with T2DM who participated in the KAMOGAWA-DM cohort, which investigating the natural history of diabetes since 2014. Sarcopenia was defined as having both low skeletal muscle mass index (SMI, kg/m2) (<7.0 kg/m2 for men and <5.7 kg/m2 for women) and low handgrip strength (<28 kg for men and <18 kg for women). Obesity was diagnosed by the percentage of body fat (>30% for men and >35% for women). The patient was said to have sarcopenic obesity if he/she had both sarcopenia and obesity. Urinary albumin excretion of patients with sarcopenic obesity was higher than that of patients without sarcopenic obesity (median [interquartile range]: 342.0 [41.8-467.5] vs. 21.0 [9.0-75.4] mg/g Cr, p = 0.016). Additionally, sarcopenic obesity was associated with the presence of macroalbuminuria, compared with non-sarcopenic obesity (adjusted odds ratio 6.92 [95% confidence interval:1.63-29.4], p = 0.009). Adjusted odds ratios of sarcopenic obesity, sarcopenia only, and obesity only for the presence of macroalbuminuria were 6.52 (1.47-28.8, p = 0.014), 1.29 (0.45-3.71, p = 0.638), and 0.78 (0.38-1.58, p = 0.482), respectively, compared with neither sarcopenia nor obesity. This study indicated that sarcopenic obesity is associated with albuminuria, especially macroalbuminuria, in Japanese patients with T2DM.

Association between sleep disorder and quality of life in patients with type 2 diabetes: a cross-sectional study.

BACKGROUND: We investigated the association between sleep symptoms, which cause sleep disorder, and quality of life (QoL) among people with type 2 diabetes (T2D). METHODS: In this cross-sectional study of 342 people with T2D, the Japan National Health and Wellness Survey (NHWS) database 2016 were used. We treated the respondents who reported experiencing any of the sleep symptoms as having sleep disorders. To examine health-related QoL (HRQoL), we used the physical component summary (PCS) and the mental component summary (MCS) from the 36-Item short-form and the EuroQol 5 Dimension (EQ-5D) survey instruments. Overall activity impairment was used for assessment of the effect on the individual's ability to perform regular daily activities. We used t-test and one-way ANOVA test for comparison QoL scores between the participants with and without sleep disorders. RESULTS: 66.4% of the participants with T2D reported having a sleep disorder. The PCS, MCS, EQ-5D, and overall activity impairment of people with sleep disorder was significantly poorer than those of the people without. Specific sleep symptoms, such as waking up to go to the bathroom, daytime sleepiness, and waking up too early (before the alarm clock), had high prevalence (35.4, 27.8 and 20.2%). The participants who experienced waking up to go to the bathroom or daytime sleepiness demonstrated significantly poorer QoL on all scores related to QoL, but those who experienced waking up too early only demonstrated significantly poorer QoL on the EQ-5D. CONCLUSIONS: Two-thirds of people with T2D in this study suffer from sleep disorders. The people who experience waking up to go to the bathroom or daytime sleepiness had significantly poorer QoL than those without these symptoms. Thus, sleep disorders, especially the symptoms of waking up to go to the bathroom or daytime sleepiness, might be the treatment targets for QOL of people with T2DM.

Living alone is associated with visit-to-visit HbA1c variability in men but not in women in people with type 2 diabetes: KAMOGAWA-DM cohort study.

The purpose of this study was to evaluate the association between living alone and glycemic parameters, especially glycemic variability, in men and women with type 2 diabetes. Lifestyle factors, including living alone, were assessed by a questionnaire in this cross-sectional study. Average, standard deviation (SD), and coefficient of variation (CV) of HbA1c were calculated using the values of HbA1c, which were extracted from the medical record for 1 year. Eighteen percent of men (35/198) and 17% of women (18/103) were living alone. In men, the average of HbA1c (59.9 mmol/mol [11.0] vs. 55.7 mmol/mol [9.1], 7.6% [1.0] vs. 7.2% [0.8], p = 0.018), and CV of HbA1c (0.06 [0.03-0.08] vs. 0.03 [0.02-0.05], p < 0.001) were all significantly higher in men who were living alone than in men who weren't. However, there were no differences in the average (53.2 mmol/mol [11.4] vs. 56.0 mmol/mol [8.8], 7.0% [1.0] vs. 7.3% [0.8], p = 0.252) or CV (0.03 [0.02-0.05] vs. 0.03 [0.02-0.04], p = 0.845) between women who were living alone and women who weren't. Multiple regression analyses revealed that living alone was associated with CV of HbA1c after adjusting for covariates in men (ß = 0.180, p = 0.005), but not in women (ß = 0.085, p = 0.369). We showed that living alone is associated with visit-to-visit HbA1c variability in men, but not women, with type 2 diabetes. In clinical practice, it is necessary to pay attention to glycemic control in men who are living alone.

Reduced dietary omega-3 fatty acids intake is associated with sarcopenia in elderly patients with type 2 diabetes: a cross-sectional study of KAMOGAWA-DM cohort study.

Omega-3 fatty acids intake is important to maintain muscle mass. However, the relationship between omega-3 fatty acids intake and sarcopenia in elderly patients with type 2 diabetes has been unclear. We used the brief-type self-administered diet history questionnaire for the assessment of habitual food and nutrient intake. Body composition of patients was evaluated using bioimpedance analysis. To investigate the effect of energy intake on the presence of sarcopenia, we performed logistic regression analyses. Among the patients, 45 patients (13.2%) were diagnosed as sarcopenia. Patients with sarcopenia were aged [74.2 (5.7) vs 71.4 (5.9) years, p = 0.003] and lower body mass index [21.2 (3.5) vs 24.3 (4.6) kg/m2, p<0.001] than those without. In addition, omega-3 fatty acids intake of patients with sarcopenia was lower than that without [2.6 (1.0) vs 3.0 (1.2) kcal/day, p = 0.046]. Omega-3 fatty acids intake was negatively associated with the presence of sarcopenia (odds ratio: 0.29, 95% confidence interval: 0.14-0.60, p<0.001) after adjusting for age, sex, exercise, smoking status, diabetes duration, hemoglobin A1c, energy intake, protein intake, fat intake and omega-3 fatty acids intake. Omega-3 fatty acids intake was negatively associated with the presence of sarcopenia in elderly patients with type 2 diabetes.

High brain natriuretic peptide is associated with sarcopenia in patients with type 2 diabetes: a cross-sectional study of KAMOGAWA-DM cohort study.

Association between heart failure and sarcopenia has been reported, however, the association between sarcopenia and brain natriuretic peptide (BNP) is unclear. Thus, we investigated the association between sarcopenia and BNP in type 2 diabetic patients without heart failure. In this cross-sectional study, skeletal muscle mass index (SMI, kg/m2) was calculated as appendicular muscle mass, measured by bioimpedance analyzer, by the square of the height. Sarcopenia was defined as having both handgrip strength of <26 kg for men and <18 kg for women, and SMI of <7.0 kg/m2 for men and <5.7 kg/m2 for women. To investigate the impact of BNP levels on the presence of sarcopenia, propensity-score matching analysis was used to remove the bias of confounding variables, including age, sex, duration of diabetes, body mass index, exercise, systolic blood pressure, smoking status, hemoglobin A1c, creatinine, energy and protein intake. The area under the curve (AUC) of BNP levels for the presence of sarcopenia was calculated by the receiver operating characteristic curve (ROC). Among 433 patients (236 men and 65.4 (11.1) years), 32 patients (7.4%) were diagnosed as sarcopenia. In the propensity-matched 58 patients, BNP levels (Δ10 pg/mL incremental) were associated with the presence of sarcopenia by logistic regression analysis, (odds ratio: 1.56, 95% confidence interval: 1.14-2.13, p = 0.002). The optimal cut-off point of BNP levels for sarcopenia is 27.3 pg/mL (AUC 0.777, 95%CI, 0.691-0.863, sensitivity = 0.813, specificity = 0.736, p < 0.001). In conclusion, BNP levels were associated with sarcopenia in type 2 diabetic patients without heart failure.

Late-night-dinner is associated with poor glycemic control in people with type 2 diabetes: The KAMOGAWA-DM cohort study.

Skipping breakfast or irregular breakfast is associated with poor glycemic control. However, a relationship between the timing of dinner and glycemic control in people with type 2 diabetes remains indefinite. Therefore, we investigated the relationship between late-night-dinner and glycemic control in people with type 2 diabetes. We performed questionnaire survey for lifestyle factors in this cross-sectional study. We defined having dinner later than eight pm as late-night-dinner. We examined the differences in clinical and metabolic parameters between those who have late-night-dinner and those who do not have. We also examined the relationship between late-night-dinner and HbA1c, using multiple regression analysis. Ninety-five people (23.2%) had a late-night-dinner, among 409 people with type 2 diabetes. Metabolic parameters (mean (SD) or median (interquartile range)) of people with late-night-dinner were worse than those of without, including body mass index (BMI) (24.4 (4.0) vs. 23.2 (3.4) kg/m2, p = 0.006), triglycerides (1.5 (1.1-2.1) vs. 1.2 (0.8-1.7) mmol/L, p < 0.001), HDL-cholesterol (1.4 (0.4) vs. 1.6 (0.4) mmol/L, p = 0.004) and hemoglobin A1c (58.1 (13.3) vs. 55.2 (10.2) mmol/mol, (7.5 (1.2) vs. 7.2 (0.9) %), p = 0.023)). Late-night-dinner (standardized regression coefficient = 0.13, p = 0.028) was associated with hemoglobin A1c after adjusting for age, BMI, sex, duration of diabetes, smoking, exercise, alcohol, snacking after dinner, nighttime sleep duration, time from dinner to bedtime, skipping breakfast, and medication for diabetes. Late-night-dinner is independently associated with poor glycemic control in people with type 2 diabetes.

Advanced functionalization of polyhydroxyalkanoate via the UV-initiated thiol-ene click reaction.

Polyhydroxyalkanoates (PHAs) incorporating vinyl-bearing 3-hydroxyalkanoates were prepared in 8.5-12.9 g L(-1) yield. The molar ratios (0-16 mol%) of the vinyl-bearing 3-hydroxyalkanoate derivatives were controlled by the continuous feeding of undecylenate at various concentrations. Subsequently, the PHAs were functionalized by UV-initiated thiol-ene click reaction and chemical modification. (1)H NMR spectra suggested that 3-mercaptopropionic acid and 2-aminoethanethiol were successfully introduced into the vinyl-bearing PHA. Subsequently, chemical modification using fluorescein or a fibronectin active fragment (GRGDS) was attempted. The former yielded a PHA derivative capable of emitting fluorescence under UV irradiation, which was useful for determining the miscibility of PHA in a composite film comprising poly-ʟ-lactic acid (PLLA) and PHA. In the latter case, PHA bearing GRGDS peptides exhibited cell adhesiveness, suggesting that its biocompatibility was improved upon peptide introduction. Taken together, the UV-initiated thiol-ene click reaction was demonstrated to be useful in PHA modification.

Influence of Helical Structure on Chiral Recognition of Poly(phenylacetylene)s Bearing Phenylcarbamate Residues of L-Phenylglycinol and Amide Linage as Pendants.

Four poly(phenylacetylene)s (PPA-1~4) bearing phenylcarbamate residues of L-phenylglycinol and amide linkage as pendants were prepared to be used as chiral stationary phases (CSPs) for high-performance liquid chromatography (HPLC), and the influences of coating solvents, dimethylformamide (DMF) and tetrahydrofuran (THF), which were used for coating the polymers on silica gel, on the helical structure of the polymers and their chiral recognition abilities were investigated. The structure analysis of PPA-1~4 by (1) H nuclear magnetic resonance (NMR), size exclusion chromatography (SEC), optical rotation, and circular dichroism (CD) spectra indicated that the polymers possess the cis-transoidal structure with dynamic helical conformation. The polymers in THF seem to have shorter conjugated helical main chains along with a tighter twist conformation than those in DMF. The chiral recognition abilities of PPA-1~4 with the different helical structures induced by the coating solvents were evaluated as the CSPs in HPLC. The helical structures of PPA-1~4 induced with THF are preferable for chiral recognition for some racemates compared to those induced with DMF, and higher chiral recognition abilities of PPA-1~ were achieved using THF.

Stroke and Disease Progression During Long-Term Follow-Up of Patients with Moyamoya Disease Older Than 50 Years.

OBJECTIVE: The long-term prognosis of elderly patients with moyamoya disease (MMD) is not fully understood and needs to be elucidated. METHODS: MMD patients who first visited our institute between 1999 and 2019, were ≥ 50 years of age, and were followed for ≥1 year were retrospectively included. Follow-up data such as stroke and disease progression on magnetic resonance angiography (MRA) were collected from medical records. The surgical outcomes of ischemic patients treated with indirect revascularization were assessed. RESULTS: Of the 60 patients included (mean (standard deviation) = 57.0 (5.5) years, 38 females), 9 patients initially received indirect revascularization, 3 patients received direct revascularization, and 49 patients were treated conservatively. During the 57.4 (53.7) month follow-up, the symptomatic stroke rate (person-year %) was 2.79%, and MRA progression was 3.14%. Symptomatic patients had a greater rate of symptomatic stroke than asymptomatic patients did (1.46%-5.74% vs. 0.94%, P = 0.15), while MRA progression was more common in asymptomatic patients (0%-3.83% vs. 5.64%, P = 0.22). Among the 14 hemispheres of 11 patients who underwent indirect revascularization, 13/14 (92.9%) demonstrated good neovascularization and no ischemic stroke occurred after surgery. CONCLUSIONS: In elderly patients with MMD, MRA progression was not uncommon, especially in asymptomatic patients. Symptomatic patients exhibited a high symptomatic stroke rate, and indirect revascularization seems to be effective at reducing future ischemic stroke in ischemic patients with misery perfusion. Because follow-up events were not uncommon, lifelong follow-up seems necessary for elderly MMD patients, as well as for younger patients.

Association between variation in hemoglobin A1c levels and diabetes therapy-related quality of life in patients with diabetes.

AIMS/INTRODUCTION: We aimed to investigate the association between glycemic variability and quality of life (QOL) in patients with diabetes, which has not been studied previously. MATERIALS AND METHODS: Patients who were undergoing treatment at the Kyoto Prefectural University of Medicine Hospital and Kameoka City Hospital participated in the KAMOGAWA-DM study, and completed the diabetes therapy-related (DTR)-QOL questionnaire from January 2016 to July 2020 were included in this study. We used linear regression analyses to compare the association between DTR-QOL scores and glycemic variability. RESULTS: We included a total of 635 patients in this analysis. The hemoglobin A1c (HbA1c) levels of these patients were measured at least four times during the 9-month period, before and after answering the questionnaire. Results showed that HbA1c variability, HbA1c mean and duration of diabetes were negatively associated with the total DTR-QOL score. Conversely, the body mass index and total DTR-QOL score were positively associated with HbA1c variability. CONCLUSIONS: A small variation in HbA1c level was associated with higher total DTR-QOL scores and the scores for each factor. Reducing blood glucose variability is significant when we treat diabetes.

Endovascular Treatment for Ruptured Proximal Anterior Cerebral Artery Dissecting Aneurysm: A case series.

BACKGROUND: Subarachnoid hemorrhage due to the A1 segment of an anterior cerebral artery dissecting aneurysm is rare. Therefore, a standard treatment has not been established. Though several case reports of direct surgery exist, there are few reports on endovascular treatment. This is the first study to describe five patients who underwent endovascular treatment for ruptured A1 dissecting aneurysms. MATERIALS AND METHODS: Between January 2001 and December 2022 in our affiliated centers, five cases of SAH-onset A1 dissecting aneurysms were treated with endovascular treatment. We describe two representative cases in detail and briefly summarize the other three cases, and analyze their complications and outcomes. RESULTS: In the five cases, four were female. Four were in their 50s, and one was in her 80s. The WFNS grades were as follows: three were 2, one was 4, and one was 5. No re-ruptures or symptomatic complications were observed. The modified Rankin Scale scores at the time of discharge were as follows; one was 0, one was 1, two were 2, and one was 5. One in five patients needed retreatment after endovascular trapping because of recanalization. CONCLUSIONS: Endovascular treatment may be an effective and viable treatment option for ruptured A1 dissecting aneurysms. Further studies are needed to collect detailed data on complications and outcomes.

A Prehospital Triage System to Detect Traumatic Intracranial Hemorrhage Using Machine Learning Algorithms.

Importance: An adequate system for triaging patients with head trauma in prehospital settings and choosing optimal medical institutions is essential for improving the prognosis of these patients. To our knowledge, there has been no established way to stratify these patients based on their head trauma severity that can be used by ambulance crews at an injury site. Objectives: To develop a prehospital triage system to stratify patients with head trauma according to trauma severity by using several machine learning techniques and to evaluate the predictive accuracy of these techniques. Design, Setting, and Participants: This single-center retrospective cohort study was conducted by reviewing the electronic medical records of consecutive patients who were transported to Tokyo Medical and Dental University Hospital in Japan from April 1, 2018, to March 31, 2021. Patients younger than 16 years with cardiopulmonary arrest on arrival or with a significant amount of missing data were excluded. Main Outcomes and Measures: Machine learning-based prediction models to detect the presence of traumatic intracranial hemorrhage were constructed. The predictive accuracy of the models was evaluated with the area under the receiver operating curve (ROC-AUC), area under the precision recall curve (PR-AUC), sensitivity, specificity, and other representative statistics. Results: A total of 2123 patients (1527 male patients [71.9%]; mean [SD] age, 57.6 [19.8] years) with head trauma were enrolled in this study. Traumatic intracranial hemorrhage was detected in 258 patients (12.2%). Among several machine learning algorithms, extreme gradient boosting (XGBoost) achieved the mean (SD) highest ROC-AUC (0.78 [0.02]) and PR-AUC (0.46 [0.01]) in cross-validation studies. In the testing set, the ROC-AUC was 0.80, the sensitivity was 74.0% (95% CI, 59.7%-85.4%), and the specificity was 74.9% (95% CI, 70.2%-79.3%). The prediction model using the National Institute for Health and Care Excellence (NICE) guidelines, which was calculated after consultation with physicians, had a sensitivity of 72.0% (95% CI, 57.5%-83.8%) and a specificity of 73.3% (95% CI, 68.7%-77.7%). The McNemar test revealed no statistically significant differences between the XGBoost algorithm and the NICE guidelines for sensitivity or specificity (P = .80 and P = .55, respectively). Conclusions and Relevance: In this cohort study, the prediction model achieved a comparatively accurate performance in detecting traumatic intracranial hemorrhage using only the simple pretransportation information from the patient. Further validation with a prospective multicenter data set is needed.

Impact of Eating Speed on Muscle Mass in Older Patients With Type 2 Diabetes: A Prospective Study of KAMOGAWA-DM Cohort.

Background and Aims: Maintenance of muscle mass is important for sarcopenia prevention. However, the effect of eating speed, especially fast, normal, or slow speed, on muscle mass changes remains unclear. Therefore, the purpose of this prospective study was to investigate the effect of eating speed on muscle mass changes in patients with type 2 diabetes (T2DM). Methods: This study included 284 patients with T2DM. Based on a self-reported questionnaire, participants were classified into three groups: fast-, normal-, and slow-speed eating. Muscle mass was assessed using a multifrequency impedance body composition analyzer, and skeletal muscle mass (SMI) decrease (kg/m2/year) was defined as [baseline SMI (kg/m2)-follow-up SMI (kg/m2)] ÷ follow-up duration (year). The rate of SMI decrease (%) was defined as [SMI decrease (kg/m2/year) ÷ baseline SMI (kg/m2)] × 100. Results: The proportions of patients with fast-, normal-, and slow-speed eating were, respectively, 50.5%, 42.9%, and 6.6% among those aged <65 years and 40.4%, 38.3%, and 21.3% among those aged ≥65 years. In patients aged ≥65 years, the rate of SMI decrease in the normal (0.85 [95% confidence interval, CI: -0.66 to 2.35]) and slow (0.93 [95% CI -0.61 to 2.46]) speed eating groups was higher than that in the fast speed eating group (-1.08 [95% CI -2.52 to 0.36]). On the contrary, there was no difference in the rate of SMI decrease among the groups in patients aged <65 years. Compared with slow speed eating, the adjusted odds ratios of incident muscle loss [defined as rate of SMI decrease (%) ≥0.5%] due to fast- and normal-speed eating were 0.42 (95% CI 0.18 to 0.98) and 0.82 (95% CI 0.36 to 2.03), respectively. Conclusion: Slow-speed eating is associated with a higher risk of muscle mass loss in older patients with T2DM.

Dietary Fiber Intake Is Related to Skeletal Muscle Mass, Body Fat Mass, and Muscle-to-Fat Ratio Among People With Type 2 Diabetes: A Cross-Sectional Study.

Objectives: To investigate the relationship between dietary fiber intake and skeletal muscle mass, body fat mass, and muscle-to-fat ratio (MFR) among men and women with type 2 diabetes (T2D). Methods: This cross-sectional study involved 260 men and 200 women with T2D. Percent skeletal muscle mass (%) or percent body fat mass (%) was calculated as (appendicular muscle mass [kg] or body fat mass [kg]/body weight [kg]) × 100. MFR was calculated as appendicular muscle mass divided by body fat mass. Information about dietary fiber intake (g/day) was obtained from a brief-type self-administered diet history questionnaire. Results: Dietary fiber intake was correlated with percent body fat mass (r = -0.163, p = 0.021), percent skeletal muscle mass (r = 0.176, p = 0.013), and MFR (r = 0.157, p = 0.026) in women. However, dietary fiber intake was not correlated with percent body fat mass (r = -0.100, p = 0.108), percent skeletal muscle mass (r = 0.055, p = 0.376), and MFR (r = 0.065, p = 0.295) in men. After adjusting for covariates, dietary fiber intake was correlated with percent body fat mass (ß = 0.229, p = 0.009), percent skeletal muscle mass (ß = 0.364, p < 0.001), and MFR (ß = 0.245, p = 0.006) in women. Further, dietary fiber intake was related to percent skeletal muscle mass (ß = 0.221, p = 0.008) and tended to be correlated with percent body fat mass (ß = 0.148, p = 0.071) in men. Conclusion: Dietary fiber intake was correlated with skeletal muscle mass, body fat mass, and MFR among women with T2D.

Eating Speed Is Associated with the Presence of Sarcopenia in Older Patients with Type 2 Diabetes: A Cross-Sectional Study of the KAMOGAWA-DM Cohort.

To determine the relationship between eating speed and the presence of sarcopenia in older patients with type 2 diabetes (T2D), in this cross-sectional study, patient eating speeds were classified as "fast-", "normal-" and "slow-speed eating." A multifrequency impedance analyzer was used to evaluate patient body compositions. Sarcopenia was defined as having both low muscle strength, a handgrip strength <28 kg for men and <18 kg for women, and low skeletal muscle mass as a skeletal muscle mass index <7.0 kg/m2 for men and <5.7 kg/m2 for women. Among 239 individuals, the frequencies of fast-, normal-, and slow-speed eating were 47.3%, 32.2%, and 20.5%, respectively; and the prevalence of sarcopenia was 15.9%. Patients with a slow eating speed had greater prevalence of low skeletal muscle mass, low muscle strength, and sarcopenia than those with a fast or normal eating speed. After adjusting for covariates, compared to slow eaters, the odds ratio of having sarcopenia among fast- and normal-speed eaters was 0.31 [95% CI: 0.12-0.80] and 0.18 [95% CI: 0.06-0.53], respectively. Having a slow eating speed is associated with a heightened risk of sarcopenia in older patients with T2D.

Relationship between eosinophils counts and muscle mass decline in older people with type 2 diabetes: A prospective study of the KAMOGAWA-DM cohort.

Sarcopenia has become an important issue in older individuals with type 2 diabetes. However, no previous studies investigated the relationship between eosinophil count and muscle mass decline. In this prospective cohort study, we aimed to investigate this relationship in older people with type 2 diabetes. Impedance body composition was used to assess body composition and skeletal muscle mass index (SMI, kg/m2) was calculated as appendicular muscle mass (kg)/height squared (m2). The decrease in SMI (kg/m2 per year) was calculated as (baseline SMI [kg/m2] - follow-up SMI [kg/m2]) divided by the follow-up period (years). The rate of SMI decrease (%) was calculated as follows: (decrease in SMI [kg/m2 per year] ÷ baseline SMI [kg/m2]) × 100; muscle mass decline was defined as the rate of SMI decrease of ≥0.5%. Complete blood counts, including eosinophil counts, were also measured. Among 141 participants, 54.6% experienced muscle mass decline during mean (standard deviation)19.4 (7.3) months of follow-up. The eosinophil counts of participants with muscle mass decline were higher than those of participants without muscle mass decline (216.5 [147.8] vs. 158.6 [113.1] cells/mm3, p = 0.004). Eosinophil counts were negatively associated with the rate of SMI decrease according to Spearman's rank correlation coefficient (r = 0.182, p = 0.031). According to logistic regression analyses, there was the relationship between eosinophil counts and incident muscle mass decline after adjusting for covariates (odds ratio of Δ 1 incremental of logarithm (eosinophil counts) 2.04 (95% confidence interval 1.15-3.61, p = 0.011). This study showed that eosinophil counts are associated with incident muscle mass decline. If an individual with type 2 diabetes has high eosinophil counts in blood tests, then it is necessary to pay more attention to the possibility of progression of muscle atrophy.

Effects of Smoking on the Gut Microbiota in Individuals with Type 2 Diabetes Mellitus.

Smoking affects eating habits; however, few studies on smoking and the gut microbiota have reported the effects of diet in detail. This cross-sectional study aimed to determine the association between smoking and the gut microbiota, considering the impact of smoking on dietary intake. Dietary habits and the composition of the gut microbiota were assessed in 195 men with type 2 diabetes (164 non-current smokers and 31 current smokers) using a brief self-administered diet history questionnaire and 16S ribosomal RNA gene sequencing of fecal samples. The data were compared according to the current smoking status of the participants. Current smokers had high alcohol and sugar/sweetener intake and low fruit intake. The proportion of the Coprococcus genus was higher among current smokers. Multiple regression analysis adjusted for current smoking, age, exercise habits, alcohol intake, sugar and sweetener intake, and fruit intake showed that smoking was associated with the proportion of the Coprococcus genus. Current smoking was associated with both dietary intake and composition of the gut microbiota. Although dietary intake should be considered when investigating the association between smoking and the gut microbiota, the results suggest that the direct effect of smoking is more significant.