Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health study
BackgroundExercise in adolescence and old age improves cognitive function in older adults, but the combined effect of exercise habits in both periods is controversial. This study aimed to clarify the relationship between exercise habits in adolescence and old age and mild cognitive impairment (MCI)...
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2024.1456665/full |
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| author | Huicong Shi Huicong Shi Hiroki Tabata Hikaru Otsuka Hikaru Otsuka Takahito Iwashimizu Hideyoshi Kaga Yuki Someya Abulaiti Abudurezake Saori Kakehi Saori Kakehi Hitoshi Naito Yasuyo Yoshizawa Yasuyo Yoshizawa Ryuzo Kawamori Ryuzo Kawamori Ryuzo Kawamori Hirotaka Watada Hirotaka Watada Yoshifumi Tamura Yoshifumi Tamura Yoshifumi Tamura Yoshifumi Tamura |
| author_facet | Huicong Shi Huicong Shi Hiroki Tabata Hikaru Otsuka Hikaru Otsuka Takahito Iwashimizu Hideyoshi Kaga Yuki Someya Abulaiti Abudurezake Saori Kakehi Saori Kakehi Hitoshi Naito Yasuyo Yoshizawa Yasuyo Yoshizawa Ryuzo Kawamori Ryuzo Kawamori Ryuzo Kawamori Hirotaka Watada Hirotaka Watada Yoshifumi Tamura Yoshifumi Tamura Yoshifumi Tamura Yoshifumi Tamura |
| author_sort | Huicong Shi |
| collection | DOAJ |
| description | BackgroundExercise in adolescence and old age improves cognitive function in older adults, but the combined effect of exercise habits in both periods is controversial. This study aimed to clarify the relationship between exercise habits in adolescence and old age and mild cognitive impairment (MCI) and to compare regional brain volumes and blood biochemical markers associated with cognitive function in older adults.MethodsBaseline data of 1615 participants aged 65–84 years from the Bunkyo Health Study were analyzed. MCI was diagnosed using the Japanese version of the Montreal Cognitive Assessment. Participants were divided into four groups based on their exercise habits in adolescence (13–18 years) and old age: no exercise in either period (None-None), exercise in adolescence only (Active-None), exercise in old age only (None-Active), and exercise in both periods (Active-Active). Logistic regression models estimated the odds ratios (ORs) of MCI prevalence. Regional brain volumes, such as the prefrontal cortex, temporal lobe, parietal cortex, and hippocampus, and blood biochemical markers, such as BDNF, IGF-1, and homocysteine, were compared between groups.ResultsThe OR for MCI was significantly lower in the Active-Active group than in the None-None group (OR, 0.62; 95% CI, 0.41–0.94). However, there were no significant differences in regional brain volumes and blood biochemical markers between the Active-Active and None-None groups.ConclusionsOlder adults with exercise habits in both adolescence and old age have a lower risk of MCI. However, specific regional brain volumes and biochemical markers may not be associated with differences in cognitive function in older adults. |
| format | Article |
| id | doaj-art-4c9c206652a6448fa83d2e175cee9ad6 |
| institution | Kabale University |
| issn | 1663-4365 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj-art-4c9c206652a6448fa83d2e175cee9ad62024-11-11T06:10:26ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652024-11-011610.3389/fnagi.2024.14566651456665Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health studyHuicong Shi0Huicong Shi1Hiroki Tabata2Hikaru Otsuka3Hikaru Otsuka4Takahito Iwashimizu5Hideyoshi Kaga6Yuki Someya7Abulaiti Abudurezake8Saori Kakehi9Saori Kakehi10Hitoshi Naito11Yasuyo Yoshizawa12Yasuyo Yoshizawa13Ryuzo Kawamori14Ryuzo Kawamori15Ryuzo Kawamori16Hirotaka Watada17Hirotaka Watada18Yoshifumi Tamura19Yoshifumi Tamura20Yoshifumi Tamura21Yoshifumi Tamura22Department of Sports Medicine and Sportology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanSportology Center, Juntendo University, Graduate School of Medicine, Bunkyo Ku, Tokyo, JapanJuntendo Advanced Research Institute for Health Science, Bunkyo ku, Tokyo, JapanDepartment of Sports Medicine and Sportology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanSportology Center, Juntendo University, Graduate School of Medicine, Bunkyo Ku, Tokyo, JapanJuntendo University Urayasu Hospital, Urayasu city, Chiba, JapanDepartment of Metabolism & Endocrinology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanJuntendo University Graduate School of Health and Sports Science, Inzai-shi, Chiba, JapanSportology Center, Juntendo University, Graduate School of Medicine, Bunkyo Ku, Tokyo, JapanDepartment of Sports Medicine and Sportology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanSportology Center, Juntendo University, Graduate School of Medicine, Bunkyo Ku, Tokyo, JapanDepartment of Metabolism & Endocrinology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanJuntendo Advanced Research Institute for Health Science, Bunkyo ku, Tokyo, JapanFaculty of International Liberal Arts, Juntendo University, Bunkyo ku, Tokyo, JapanDepartment of Sports Medicine and Sportology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanSportology Center, Juntendo University, Graduate School of Medicine, Bunkyo Ku, Tokyo, JapanDepartment of Metabolism & Endocrinology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanSportology Center, Juntendo University, Graduate School of Medicine, Bunkyo Ku, Tokyo, JapanDepartment of Metabolism & Endocrinology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanDepartment of Sports Medicine and Sportology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanSportology Center, Juntendo University, Graduate School of Medicine, Bunkyo Ku, Tokyo, JapanDepartment of Metabolism & Endocrinology, Juntendo University, Graduate School of Medicine, Bunkyo ku, Tokyo, JapanFaculty of International Liberal Arts, Juntendo University, Bunkyo ku, Tokyo, JapanBackgroundExercise in adolescence and old age improves cognitive function in older adults, but the combined effect of exercise habits in both periods is controversial. This study aimed to clarify the relationship between exercise habits in adolescence and old age and mild cognitive impairment (MCI) and to compare regional brain volumes and blood biochemical markers associated with cognitive function in older adults.MethodsBaseline data of 1615 participants aged 65–84 years from the Bunkyo Health Study were analyzed. MCI was diagnosed using the Japanese version of the Montreal Cognitive Assessment. Participants were divided into four groups based on their exercise habits in adolescence (13–18 years) and old age: no exercise in either period (None-None), exercise in adolescence only (Active-None), exercise in old age only (None-Active), and exercise in both periods (Active-Active). Logistic regression models estimated the odds ratios (ORs) of MCI prevalence. Regional brain volumes, such as the prefrontal cortex, temporal lobe, parietal cortex, and hippocampus, and blood biochemical markers, such as BDNF, IGF-1, and homocysteine, were compared between groups.ResultsThe OR for MCI was significantly lower in the Active-Active group than in the None-None group (OR, 0.62; 95% CI, 0.41–0.94). However, there were no significant differences in regional brain volumes and blood biochemical markers between the Active-Active and None-None groups.ConclusionsOlder adults with exercise habits in both adolescence and old age have a lower risk of MCI. However, specific regional brain volumes and biochemical markers may not be associated with differences in cognitive function in older adults.https://www.frontiersin.org/articles/10.3389/fnagi.2024.1456665/fullphysical activitycognitive functionregional brain volumesblood markerscross-sectional study |
| spellingShingle | Huicong Shi Huicong Shi Hiroki Tabata Hikaru Otsuka Hikaru Otsuka Takahito Iwashimizu Hideyoshi Kaga Yuki Someya Abulaiti Abudurezake Saori Kakehi Saori Kakehi Hitoshi Naito Yasuyo Yoshizawa Yasuyo Yoshizawa Ryuzo Kawamori Ryuzo Kawamori Ryuzo Kawamori Hirotaka Watada Hirotaka Watada Yoshifumi Tamura Yoshifumi Tamura Yoshifumi Tamura Yoshifumi Tamura Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health study Frontiers in Aging Neuroscience physical activity cognitive function regional brain volumes blood markers cross-sectional study |
| title | Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health study |
| title_full | Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health study |
| title_fullStr | Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health study |
| title_full_unstemmed | Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health study |
| title_short | Association between exercise habits in adolescence and old age and the risk of mild cognitive impairment: the Bunkyo health study |
| title_sort | association between exercise habits in adolescence and old age and the risk of mild cognitive impairment the bunkyo health study |
| topic | physical activity cognitive function regional brain volumes blood markers cross-sectional study |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2024.1456665/full |
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