Prevalence of Obstructive Sleep Apnea Determined by the Watchpat in Nonobese Japanese Patients with Poor Glucose Control And Type 2 Diabetes

Shinoda, Minori; Yamakawa, Tadashi; Takahashi, Kenichirou; Nagakura, Jo; Suzuki, Jun; Sakamoto, Rika; Kadonosono, Kazuaki; Terauchi, Yasuo

doi:10.4158/ep-2018-0200

Cited by 12 publications

(10 citation statements)

References 34 publications

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“…In the present study, obstructive sleep apnea risk among patients with diabetes was 88.5% and was significantly higher than control subjects, the present data are similar to a study conducted in Taif Saudi Arabia [23] and applied the same method of assessment. A similarly high rate of obstructive sleep apnea (80.5%) was observed in a recent study among Japanese patients with type 2 diabetes [24]. A lower rate (53.2%) was observed by a more recent study published in Saudi Arabia [25] and used the Berlin scale to predict OSA, the discrepancy can be explained by the high sensitive STOP-BANG questionnaire used in the current study.…”

Section: Discussionsupporting

confidence: 73%

The relationship between coffee intake, obstructive sleep apnea risk, and type 2 diabetes glycemic control, in Tabuk City, The Kingdom of Saudi Arabia: a case–control study

et al. 2019

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ObjectivesThe study aimed to assess the relationship between coffee intake, obstructive sleep apnea risk (OSA), and glycemic control among patients with diabetes mellitus.ResultsThere were 110 patients with diabetes and 96 healthy control subjects (matched for age and sex) attending a diabetes center زinTabuk, Saudi Arabia during the period from June 2018–October 2019. Stop-Bang questionnaire was used to assess OSA risk, and Epworth Sleepiness Scale to investigate daytime sleepiness. OSA risk and daytime sleepiness were higher among patients with diabetes compared to controls (4.34 ± 1.61 vs. 2.86 ± 1.24, and 8.31 ± 4.40 vs. 6.39 ± 3.70 respectively, P < 0.5), while coffee consumption was not (4.64 ± 3.95 vs. 3.45 ± 3.06, P > 0.05). Women with diabetes were younger with short duration since the diagnosis of diabetes and consumed less coffee compared to men, P < 0.5. A negative correlation was found between coffee consumption and the duration of diabetes, while no correlation was found between coffee intake, the glycated hemoglobin, OSA risk, sex, and daytime sleepiness. Daytime sleepiness and OSA risk were commoners among patients with diabetes, they were not correlated with coffee consumption which was negatively correlated with the duration since diabetes diagnosis. Further larger multi-center studies investigating coffee intake among patients newly diagnosed with diabetes are recommended.

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Section: Discussionsupporting

confidence: 73%

The relationship between coffee intake, obstructive sleep apnea risk, and type 2 diabetes glycemic control, in Tabuk City, The Kingdom of Saudi Arabia: a case–control study

et al. 2019

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“…Although MetS and diabetes are different conditions, their prevalence was similar in the present study. 45 In the present cohort, the AHI score significantly improved (median change from 24.1 to 17.1), consistent with the improvement reported in a previous meta-analysis, where it was 6.04 in seven randomized clinical trials and 12.26 in nine before-after studies. 46 To assess the changes in SpO 2 and deep sleep percentage accurately, studies with larger samples are required to allow for age- and gender-stratified analysis.…”

Section: Discussionsupporting

confidence: 92%

“…Recently, Shinoda et al have reported a 73.5% prevalence of sleep apnea in Japanese individuals with a BMI of 20–25 kg/m 2 , and an 86.5% prevalence in Japanese individuals with a BMI of 25–30 kg/m 2 who also had diabetes. 45 In our cohort (median BMI: 27.3 kg/m 2 ), 34 among 39 (87.1%) participants had sleep apnea (AHI score >5). Although MetS and diabetes are different conditions, their prevalence was similar in the present study.…”

Section: Discussionmentioning

confidence: 65%

Changes in Body Weight, Dysglycemia, and Dyslipidemia After Moderately Low-Carbohydrate Diet Education (LOCABO Challenge Program) Among Workers in Japan

Yamada¹,

Inoue²,

Ooyane³

et al. 2021

DMSO

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Purpose It is theorized that the prevalence of obesity has not decreased owing to poor adherence to implemented programs addressing metabolic syndrome, obesity, and diabetes in Japan. Therefore, we intended to evaluate the influence of a moderately low-carbohydrate diet on improving markers of metabolic syndrome among workers in Japan. Patients and Methods Participants with metabolic syndrome or obesity were recruited based on the eligibility criteria for the Specific Health Guidance program and educated on a moderately low-carbohydrate diet between spring 2016 and fall 2018. The participants were then made to report their food intake and body weight once a week for the next 12 weeks and were counselled on maintaining a moderately low-carbohydrate diet. HbA1c levels, lipid profile, body weight, and sleep quality were evaluated. The normality of the data was evaluated using the Skewness/Kurtosis test. Each variable was compared before and after the intervention using the Wilcoxon signed-rank test. Further, a subgroup analysis of the data from the participants whose variables were abnormal at baseline was performed. Results Among the 101 enrolled participants, a decrease in the median weight (from 82.5 to 79.7 kg, p<0.001, n=46), body mass index (from 27.3 to 26.9 kg/m 2 , p<0.001, n=46), and apnea-hypopnea index (from 24.1 to 17.1, p<0.01, n=39) was observed. Subgroup analysis of participants with abnormal baseline values revealed changes in HbA1c (from 6.7% to 5.8%, p<0.001, n=34), total cholesterol (from 220 to 209 mg/dL, p<0.01, n=54), low-density lipoprotein cholesterol (from 133 to 120 mg/dL, p<0.001, n=31), high-density lipoprotein cholesterol (from 35 to 40 mg/dL, p<0.01, n=31), triglycerides (from 242 to 190 mg/dL, p<0.01, n=57), and deep sleep percentage (from 10.4% to 18.2%, p<0.05, n=7). Conclusion A moderately low-carbohydrate diet may be considered a potential intervention for improving the markers of metabolic syndrome, obesity, and diabetes.

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“…Besides blood glucose, OSAS is also associated with other components of metabolic syndrome, such as blood lipids and blood pressure [23]. A previous study has revealed that serum triglyceride levels were signi cantly associated with OSAS [24]. However, our study did not present a similar result, which may be due to a difference in the cohort.…”

Section: Discussioncontrasting

confidence: 86%

Obstructive Sleep Apnea Related to Abdominal Adipose Tissue Distribution Assessed by Bioelectrical Impedance Analysis in Obese Patients

Wang

et al. 2020

Preprint

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Background: The aim of this study was to identify the association between obstructive sleep apnea syndrome (OSAS) and abdominal fat distribution in obese individuals.Methods: A total of 94 obese patients were enrolled in the study from January 2018 to July 2020. Demographic data were collected. OSAS was diagnosed based on the results of overnight polysomnography, and the abdominal fat distribution was measured by bioelectrical impedance analysis (BIA). Univariate and multivariate logistic regression analyses were used to investigate the association between OSAS and the distribution of abdominal fat. Results: 1) The mean age (SD) of the patients included in this study was 32.44 (11.81) years and the majority were women (62.77%). The overall incidence rate of OSAS was 51.06%, and 24 (25.53%) patients had mild OSAS, 10 (10.64%) had moderate OSAS, and 14 (14.89%) had severe OSAS. 2) The incidence of OSAS among men was higher than in women (62.86% vs. 44.07%). The apnea hypopnea index (AHI) of men was significantly higher than that of women (5.50, interquartile range [IQR] 3.80-30.6 vs. 4.2, IQR 1.4-12 events/hour, P=0.014). Additionally, men had a significantly higher visceral fat area (180.29±51.64 vs. 143.88±53.42 cm2, P=0.002). 3) Patients with OSAS had a significantly higher visceral fat area than patients without OSAS (178.28±59.89 vs. 135.68±40.58 cm2, P=0.013). Multivariate analysis demonstrated that abdominal fat area and fasting plasma glucose were independent risk factors for OSAS (odds ratio, 1.016; 95% confidence interval, 1.005-1,026, P=0.005; odds ratio, 1.618; 95% confidence interval, 1.149-2.278, P=0.006). Conclusions: In obese patients, the abdominal visceral adipose deposit was an independent risk factor for OSAS. Therefore, improving the distribution of abdominal fat may contribute to alleviating the severity of OSAS.

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Prevalence of Obstructive Sleep Apnea Determined by the Watchpat in Nonobese Japanese Patients with Poor Glucose Control And Type 2 Diabetes

Cited by 12 publications

References 34 publications

The relationship between coffee intake, obstructive sleep apnea risk, and type 2 diabetes glycemic control, in Tabuk City, The Kingdom of Saudi Arabia: a case–control study

The relationship between coffee intake, obstructive sleep apnea risk, and type 2 diabetes glycemic control, in Tabuk City, The Kingdom of Saudi Arabia: a case–control study

Changes in Body Weight, Dysglycemia, and Dyslipidemia After Moderately Low-Carbohydrate Diet Education (LOCABO Challenge Program) Among Workers in Japan

Obstructive Sleep Apnea Related to Abdominal Adipose Tissue Distribution Assessed by Bioelectrical Impedance Analysis in Obese Patients

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