Cross‐sectional association of metrics derived from continuous glucose monitoring with cognitive performance in older adults with type 2 diabetes
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- Taiki Sugimoto
- Department of Prevention and Care Science, Research Institute National Center for Geriatrics and Gerontology Obu Japan
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- Haruhiko Tokuda
- Department of Clinical Laboratory, Hospital National Center for Geriatrics and Gerontology Obu Japan
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- Hisayuki Miura
- Department of Endocrinology and Metabolism, Hospital National Center for Geriatrics and Gerontology Obu Japan
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- Shuji Kawashima
- Department of Endocrinology and Metabolism, Hospital National Center for Geriatrics and Gerontology Obu Japan
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- Takafumi Ando
- Human‐Centered Mobility Research Center National Institute of Advanced Industrial Science and Technology Tsukuba Japan
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- Yujiro Kuroda
- Department of Prevention and Care Science, Research Institute National Center for Geriatrics and Gerontology Obu Japan
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- Nanae Matsumoto
- Department of Prevention and Care Science, Research Institute National Center for Geriatrics and Gerontology Obu Japan
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- Kosuke Fujita
- Department of Prevention and Care Science, Research Institute National Center for Geriatrics and Gerontology Obu Japan
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- Kazuaki Uchida
- Department of Prevention and Care Science, Research Institute National Center for Geriatrics and Gerontology Obu Japan
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- Yoshinobu Kishino
- Department of Prevention and Care Science, Research Institute National Center for Geriatrics and Gerontology Obu Japan
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- Takashi Sakurai
- Department of Prevention and Care Science, Research Institute National Center for Geriatrics and Gerontology Obu Japan
抄録
<jats:title>Abstract</jats:title><jats:sec><jats:title>Aim</jats:title><jats:p>To examine the association between continuous glucose monitoring (CGM)‐derived metrics and cognitive performance in older adults with type 2 diabetes (T2D).</jats:p></jats:sec><jats:sec><jats:title>Materials and methods</jats:title><jats:p>A total of 100 outpatients with T2D aged 70 years or older were analysed. Participants underwent CGM for 14 days. As CGM‐derived metrics, mean sensor glucose (SG), glucose coefficient of variation (CV), time in range (TIR; 70‐180 mg/dl), time above range (TAR; > 180 mg/dl) and time below range (TBR; < 70 mg/dl), were calculated. Participants underwent cognitive tests, including the Japanese version of the Montreal Cognitive Assessment (MoCA‐J), a delayed word‐recall test from the Alzheimer's Disease Assessment Scale‐cognitive subscale, a digit symbol substitution test, a letter word fluency test, a trail‐making test (TMT) and digit span test (DSP).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>In multiple regression analyses adjusted for confounders, a higher mean SG was associated with a lower performance in MoCA‐J and TMT part B (TMT‐B) (<jats:italic>P</jats:italic> < .05). A higher TAR was associated with a lower performance in TMT‐B and DSP‐backward (<jats:italic>P</jats:italic> < .05). By contrast, a higher TIR was associated with better function in TMT‐B and DSP‐backward (<jats:italic>P</jats:italic> < .05). Furthermore, CV and TBR were not associated with any cognitive function.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Hyperglycaemia metrics and TIR derived from CGM are associated with cognitive functions, especially with executive function and working memory, in older adults with T2D.</jats:p></jats:sec>
収録刊行物
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- Diabetes, Obesity and Metabolism
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Diabetes, Obesity and Metabolism 25 (1), 222-228, 2022-09-28
Wiley
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詳細情報 詳細情報について
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- CRID
- 1360580230619545216
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- ISSN
- 14631326
- 14628902
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- データソース種別
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- Crossref
- KAKEN