- 著者
- Jun YASUDA Takahiro YOSHIZAKI Kaori YAMAMOTO Masae YOSHINO Masako OTA Takashi KAWAHARA Akiko KAMEI
- 出版者
- Center for Academic Publications Japan
- 雑誌
- Journal of Nutritional Science and Vitaminology (ISSN:03014800)
- 巻号頁・発行日
- vol.65, no.2, pp.177-183, 2019-04-30 (Released:2019-04-30)
- 参考文献数
- 28
- 被引用文献数
- 10
The purpose of the study was to examine the association of the frequencies of milk and dairy product consumption with subjective sleep quality during the training period in Japanese elite athletes. In this cross-sectional study, 682 Japanese elite athletes who were candidates for the 2016 Rio Olympic Games underwent medical evaluations at the medical center of The Japan Institute of Sports Sciences. Self-reported questionnaires were used to collect information on demographics and lifestyle (age, height, weight, sports, presence of milk allergy, smoking and drinking habits), subjective sleep quality (good, normal, or poor), bedtime, waking time, sleep duration, and frequencies of milk and dairy product consumption. Data from 679 athletes (379 men, 300 women) without milk allergy, were analyzed. Based on the frequencies of both milk and dairy product consumption, the athletes were divided into three groups: low (0-2 d/wk), middle (3-5 d/wk), and high (6-7 d/wk). Multiple logistic regression models showed that in comparison with the low milk consumption group, the middle [OR (95% CI): 0.48 (0.26-0.91)] and high groups [0.38 (0.21-0.71)] were significantly associated with a lower risk of decrease in subjective sleep quality (0: good, 1: normal or poor) only in women, after adjusting for possible confounders, such as smoking, drinking habits, and sleep duration. Accordingly, the present study elucidated that a greater frequency of milk consumption was significantly associated with a lower risk of decrease in subjective sleep quality, during training periods in women.
- 著者
- Daisuke Takenaka Yoshiyuki Ozawa Kaori Yamamoto Maiko Shinohara Masato Ikedo Masao Yui Yuka Oshima Nayu Hamabuchi Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Akiyoshi Iwase Takeshi Yoshikawa Hiroshi Toyama Yoshiharu Ohno
- 出版者
- Japanese Society for Magnetic Resonance in Medicine
- 雑誌
- Magnetic Resonance in Medical Sciences (ISSN:13473182)
- 巻号頁・発行日
- pp.mp.2023-0068, (Released:2023-09-01)
- 参考文献数
- 36
Purpose: Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR has been proposed as useful for improving temporal resolution and image quality on MR sequences in different body fields. However, there have been no reports regarding the utility of DLR for image quality and T-factor assessment improvements on T2-weighted imaging (T2WI), short inversion time (TI) inversion recovery (STIR) imaging, and unenhanced- and contrast-enhanced (CE) 3D fast spoiled gradient echo (GRE) imaging with and without CS in comparison with thin-section multidetector-row CT (MDCT) for non-small cell lung cancer (NSCLC) patients. The purpose of this study was to determine the utility of DLR for improving image quality and the appropriate sequence for T-category assessment for NSCLC patients.Methods: As subjects for this study, 213 pathologically diagnosed NSCLC patients who underwent thin-section MDCT and MR imaging as well as T-factor diagnosis were retrospectively enrolled. SNR of each tumor was calculated and compared by paired t-test for each sequence with and without DLR. T-factor for each patient was assessed with thin-section MDCT and all MR sequences, and the accuracy for T-factor diagnosis was compared among all sequences and thin-section CT by means of McNemar’s test.Results: SNRs of T2WI, STIR imaging, unenhanced thin-section Quick 3D imaging, and CE-thin-section Quick 3D imaging with DLR were significantly higher than SNRs of those without DLR (P < 0.05). Diagnostic accuracy of STIR imaging and CE-thick- or thin-section Quick 3D imaging was significantly higher than that of thin-section CT, T2WI, and unenhanced thick- or thin-section Quick 3D imaging (P < 0.05).Conclusion: DLR is thus considered useful for image quality improvement on MR imaging. STIR imaging and CE-Quick 3D imaging with or without CS were validated as appropriate MR sequences for T-factor evaluation in NSCLC patients.