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  • 1
    Online Resource
    Online Resource
    Elsevier BV ; 2013
    In:  Psychiatry Research: Neuroimaging Vol. 214, No. 3 ( 2013-12), p. 254-259
    In: Psychiatry Research: Neuroimaging, Elsevier BV, Vol. 214, No. 3 ( 2013-12), p. 254-259
    Type of Medium: Online Resource
    ISSN: 0925-4927
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2013
    detail.hit.zdb_id: 1500675-X
    detail.hit.zdb_id: 2900605-3
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  • 2
    In: JMIR Diabetes, JMIR Publications Inc., Vol. 6, No. 1 ( 2021-1-29), p. e22458-
    Abstract: Machine learning (ML) algorithms have been widely introduced to diabetes research including those for the identification of hypoglycemia. Objective The objective of this meta-analysis is to assess the current ability of ML algorithms to detect hypoglycemia (ie, alert to hypoglycemia coinciding with its symptoms) or predict hypoglycemia (ie, alert to hypoglycemia before its symptoms have occurred). Methods Electronic literature searches (from January 1, 1950, to September 14, 2020) were conducted using the Dialog platform that covers 96 databases of peer-reviewed literature. Included studies had to train the ML algorithm in order to build a model to detect or predict hypoglycemia and test its performance. The set of 2 × 2 data (ie, number of true positives, false positives, true negatives, and false negatives) was pooled with a hierarchical summary receiver operating characteristic model. Results A total of 33 studies (14 studies for detecting hypoglycemia and 19 studies for predicting hypoglycemia) were eligible. For detection of hypoglycemia, pooled estimates (95% CI) of sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were 0.79 (0.75-0.83), 0.80 (0.64-0.91), 8.05 (4.79-13.51), and 0.18 (0.12-0.27), respectively. For prediction of hypoglycemia, pooled estimates (95% CI) were 0.80 (0.72-0.86) for sensitivity, 0.92 (0.87-0.96) for specificity, 10.42 (5.82-18.65) for PLR, and 0.22 (0.15-0.31) for NLR. Conclusions Current ML algorithms have insufficient ability to detect ongoing hypoglycemia and considerate ability to predict impeding hypoglycemia in patients with diabetes mellitus using hypoglycemic drugs with regard to diagnostic tests in accordance with the Users’ Guide to Medical Literature (PLR should be ≥5 and NLR should be ≤0.2 for moderate reliability). However, it should be emphasized that the clinical applicability of these ML algorithms should be evaluated according to patients’ risk profiles such as for hypoglycemia and its associated complications (eg, arrhythmia, neuroglycopenia) as well as the average ability of the ML algorithms. Continued research is required to develop more accurate ML algorithms than those that currently exist and to enhance the feasibility of applying ML in clinical settings. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42020163682; http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42020163682
    Type of Medium: Online Resource
    ISSN: 2371-4379
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2021
    detail.hit.zdb_id: 2955900-5
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  • 3
    Online Resource
    Online Resource
    The City Planning Institute of Japan ; 2022
    In:  Reports of the City Planning Institute of Japan Vol. 21, No. 2 ( 2022-9-9), p. 167-170
    In: Reports of the City Planning Institute of Japan, The City Planning Institute of Japan, Vol. 21, No. 2 ( 2022-9-9), p. 167-170
    Type of Medium: Online Resource
    ISSN: 2436-4460
    Language: English
    Publisher: The City Planning Institute of Japan
    Publication Date: 2022
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  • 4
    In: Global Biogeochemical Cycles, American Geophysical Union (AGU), Vol. 34, No. 9 ( 2020-09)
    Abstract: Spatial distribution of particulate P was investigated along zonal and meridional transects of the subtropical North and South Pacific Ocean Particulate P showed a uniform distribution within the euphotic zone of most regions including the nutrient‐depleted upper layer The uniform distribution of particulate P was likely controlled by vertically and geographically different nutrient supply mechanisms
    Type of Medium: Online Resource
    ISSN: 0886-6236 , 1944-9224
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2020
    detail.hit.zdb_id: 2021601-4
    SSG: 12
    SSG: 13
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  • 5
    In: Diabetes, American Diabetes Association, Vol. 71, No. Supplement_1 ( 2022-06-01)
    Abstract: In adults, short sleep duration and late bedtime were associated with hyperglycemia and obesity, but these relationships in children are little known. We evaluated the association of bedtime and sleep duration with overweight/obesity or hyperglycemia in children by sex, considering the effects of diet, physical activity, and screen time. A cross-sectional study was conducted for 1139 Japanese children (553 boys) aged 10-y. Overweight was as defined by the International Obesity Task Force. Cutoff value for hyperglycemia was HbA1c ≥5.6%. Variables associated with hyperglycemia or overweight were based on logistic regression analysis. Multivariate logistic regression analysis showed that compared with an early bedtime (˜21:59) and long sleep duration (weekdays ≥8.67 h, weekends ≥9 h) , short sleep duration (weekdays & lt;8.67 h, weekends & lt;9 h) was associated with overweight in boys but not late bedtimes (22:00˜) . The significant association seen disappeared in girls when adjusted for screen time. For hyperglycemia, in both sexes wake time and sleep duration on weekends were significant in univariate analysis, but not in multivariate analysis adjusted for diet and physical activity. In Japanese boys, short sleep duration was significantly associated with overweight. Sleep ≥8.67 on weekdays and ≥9 h on weekends may be essential to prevent overweight. Table. Adjusted odds ratios for overweight Disclosure H. Shiozaki: None. K. Fujihara: None. M.H. Yamada: None. T. Osawa: None. M. Kitazawa: None. M. Yamamoto: None. T. Sato: None. T. Yamada: None. H. Sone: Research Support; Astellas Pharma Inc., Eisai Co., Ltd., Kyowa Kirin Co., Ltd., Novo Nordisk, Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Holdings Co., Ltd., Takeda Pharmaceutical Company Limited. Funding Patient Centered Outcomes Research Institute
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2022
    detail.hit.zdb_id: 1501252-9
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  • 6
    In: Diabetes, American Diabetes Association, Vol. 72, No. Supplement_1 ( 2023-06-20)
    Abstract: Insufficient sleep and late bedtime are associated with deteriorating glucose tolerance status, diabetes and overweight. Although lifestyle in adulthood is influenced by childhood and adolescent experiences, little is known about the association between sleep habits and glucose status in children. Thus, we investigated the association between sleep habits and overweight in 1050 Japanese adolescents (497 boys) considering the effects of diet, physical activity and screen time. Overweight was defined by the International Obesity Task Force. Sleep duration and wake/sleep time were based on questionnaires, and their association with overweight was analyzed by logistic regression. On weekends, girls with overweight had short sleep duration. In a univariate analysis of participants divided into 4 groups, the relationship between sleep habits and overweight did not present a U- or J-shaped curve. We conducted a multivariate logistic regression analysis based on the median bedtime of 23:00 and sleep duration of 9 h. In boys, there was no association between sleep habits and overweight. The odds ratios for overweight in girls with long sleep duration were high regardless of bedtime (early bedtime: odds ratio 3.42 [95% CI 1.15-10.17]; late bedtime 3.08 [1.14-8.33] ). Gender differences exist in the association between sleep habits and overweight. In Japanese adolescent girls, sufficient sleep duration on weekends may be necessary. Disclosure H.Shiozaki: None. E.D.Ferreira: None. H.Ishiguro: None. Y.Ogawa: None. H.Sone: Research Support; Novo Nordisk, Astellas Pharma Inc., Kyowa Kirin Co., Ltd., Taisho Pharmaceutical Holdings Co., Ltd., Ono Pharmaceutical Co., Ltd., Eisai Co., Ltd., Takeda Pharmaceutical Co., Ltd. K.Fujihara: None. Y.Takeda: None. I.Ikeda: None. S.Y.Morikawa: None. K.Tsuruoka: None. R.Kodera: None. L.Khin: None. S.Wu: None.
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
    detail.hit.zdb_id: 1501252-9
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  • 7
    In: Psychiatry and Clinical Neurosciences, Wiley, Vol. 68, No. 10 ( 2014-10), p. 752-758
    Abstract: The aim of this study was to investigate the biological background of the five‐factor model using near‐infrared spectroscopy and cognitive tasks. Methods Twenty right‐handed healthy volunteers participated in this study. Their personality traits were assessed using the NEO Five‐Factor Inventory, and changes in oxyhemoglobin concentration ([oxy‐ Hb ]) were measured during cognitive tasks using a wireless near‐infrared spectroscopy. Results The average [oxy‐ Hb ] in the right prefrontal area had a significant positive correlation with the agreeableness score during the S troop test at incongruent stimulus block. For the verbal fluency task, there were no significant correlations of bilateral [oxy‐ Hb ] changes with any items. Conclusion Higher agreeableness scores may involve less suppression to the default mode network related to resting state brain function. Keeping selective attention during the S troop test may require more power of concentration than retrieving words during the verbal fluency task.
    Type of Medium: Online Resource
    ISSN: 1323-1316 , 1440-1819
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2010264-1
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  • 8
    In: Family Practice, Oxford University Press (OUP), Vol. 40, No. 2 ( 2023-03-28), p. 398-401
    Abstract: To clarify whether the presence or absence of fast walking and habitual physical activity are independently associated with the incidence of functional disability. Methods This historical cohort study was comprised of 9,652 (4,412 men, mean age 65 years) individuals aged 39–98 years without functional disability at baseline. Functional disability was determined based on the Japanese long-term care insurance system, which specified requirements for assistance in the activities of daily living. The impact of fast walking and habitual physical activity on the incidence of functional disability was analysed by Cox proportional hazards models. Results The follow-up period was a median of 3.7 years during which 165 patients were newly certified as having functional disability. In the multivariate analysis, baseline age in 5-year increments (hazard ratio 2.42 [95% confidence interval 2.18–2.69]), no habitual physical activity (1.56 [1.07–2.27] ), and not fast walking (1.89 [1.32–2.69]) significantly increased the risk of functional disability after adjustment for covariates. The stratified analysis showed that compared with physical activity (+), the impact of physical activity (−) on the incidence of functional disability was observed in those aged ≥75 years regardless of fast walking (+). Fast walking (−) significantly increased the risk of disability compared with fast walking (+) in those aged & lt;75 years regardless of a physical activity habit. Conclusion In Japanese, slow walking speed and lack of a physical activity habit were shown to be independent risk factors for incident functional disability, with their impact differing according to age.
    Type of Medium: Online Resource
    ISSN: 1460-2229
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1484852-1
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  • 9
    In: Diabetes, American Diabetes Association, Vol. 72, No. Supplement_1 ( 2023-06-20)
    Abstract: Background and Purpose: Although it is well established that diabetic retinopathy (DR) and diabetic macular edema (DME) are risk factors for incident cerebrovascular disease (CVD), whether the CVD history could be a predictor of severe DR or DME remains unknown among people with type 2 diabetes. Also, the effects of aging or systolic blood pressure on incident severe DR or DME in individuals with a history of CVD remains unknown. Methods: Severe DR and DME were defined as vision-threatening treatment-required diabetic eye diseases (TRDED). Enrolled were 31,638 Japanese patients with type 2 diabetes. We longitudinally explored the existence of such an association not only overall but also according to various factors. Results: The main outcome of TRDED was observed in 854 (2.7%) patients during a mean follow-up of 5.3 years (5.1/1,000 person-years). Prior CVD was present in 694 of 31,638 (2.2%) patients at baseline. In a multivariate adjusted Cox regression model, prior CVD was positively associated with incident TRDED in analysis of the study population (hazard ratio, 1.63 [95% confidence interval, 1.11-2.37] overall; 1.47 [0.54, 3.99] for age ≤49 y; 1.69 [1.12, 2.55] for age ≥50 y; 1.46 [0.89, 2.39] for SBP ≤139 mmHg; 1.97 [1.09, 3.58] for SBP ≥140 mmHg). All results, including several stratified analyses, correlated with visual inspection of the corresponding Kaplan-Meier analysis with log-rank tests indicating gaps between curves for those with and without prior CVD. Conclusions: These results indicate that CVD is a predictor of vision-threatening severe retinopathy, and suggested that they shared a common background pathophysiology. It also contributed to preventing severe visual impairment and further deterioration of the quality of life after stroke. Disclosure M.Yamamoto: None. M.Iwanaga: None. T.Yamada: None. H.Sone: Research Support; Novo Nordisk, Astellas Pharma Inc., Kyowa Kirin Co., Ltd., Taisho Pharmaceutical Holdings Co., Ltd., Ono Pharmaceutical Co., Ltd., Eisai Co., Ltd., Takeda Pharmaceutical Co., Ltd. K.Fujihara: None. H.Hasebe: None. H.Shiozaki: None. R.Kodera: None. T.Sato: None. Y.Yaguchi: None. T.Osawa: None. Y.Matsubayashi: None. Funding Japan Society for the Promotion of Science (JP21K11569, JP22K16212)
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
    detail.hit.zdb_id: 1501252-9
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