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    Effects of Metabolic Factors on Left Ventricular Diastolic Function in Patients With Obstructive Sleep Apnea [Corrigendum] by Zhou YF, Chen SH, Wang WD, Chen JL, Cai PY, Li MM, Lin YL, Li WQ, Huang DH, Li J, Li YT, Lin HL

    Published 2025-02-01
    “…Zhou YF, Chen SH, Wang WD, et al. Nat Sci Sleep. 2025;17:43—53. Page 43, Abstract, Patients and Methods section, line 1, the text “478 patients” should read “465 patients”. …”
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    Comparative analysis of diabetes risk in patients with obstructive sleep apnea undergoing different treatment approaches by Nai-Chen Shih, James Cheng-Chung Wei

    Published 2023-08-01
    “…However, potential biases and confounding variables should be considered, such as race, ethnicity, socioeconomic factors, BMI, glucose levels, HbA1c values, medication use and healthy dietary habits. …”
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    The Use of Principal Component Analysis for Reduction in Sleep Quality and Quantity Data in Female Professional Soccer by Eider Barba, David Casamichana, Pedro Figueiredo, Fábio Yuzo Nakamura, Julen Castellano

    Published 2024-12-01
    “…Two sleep PCs were identified, representing the ‘quantity of sleep’ (quantity PC: eigenvalue = 4.1 and variance explained = 45.1%) and the ‘quality of sleep’ (quality PC: eigenvalue = 2.4 and variance explained = 24.1%). …”
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  7. 47

    Sleep quality in children with hepatic glycogen storage diseases, a prospective observational pilot study by Lucas Agnoletto, Moya Vandeleur, Mary White, Anne‐Marie Adams, Rebecca Halligan, Heidi Peters

    Published 2025-01-01
    “…Significant hypo‐ and hyperglycaemia were defined as ≥1% of sleep diary documented nocturnal period, recording <3.5 and >10.0 mmol/L, respectively. …”
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    Considering Psychosocial Factors When Investigating Blood Pressure in Patients with Short Sleep Duration: A Propensity Score Matched Analysis by Ningjing Qian, Dandan Yang, Huajun Li, Siyin Ding, Xia Yu, Qingqiu Fan, Zhebin Yu, Shenfeng Ye, Hualiang Yu, Yaping Wang, Xiaohong Pan

    Published 2021-01-01
    “…In the matched populations, the differences between the two groups (sleep duration ≤6 h vs. sleep duration >6 h) in office DBP (88.4 ± 10.9 vs. 82.5 ± 11.1 mm Hg; P=0.002), 24-h SBP (134.7 ± 12.0 vs. 129.3 ± 11.6 mm Hg; P=0.009), and 24-h DBP (83.4 ± 9.9 vs. 78.1 ± 10.1 mm Hg; P=0.002) become more significant. …”
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