Takafumi Ando
National Institutes of Health
50 Papers
140 Citations
Takafumi Ando is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Weight change & Weight gain. The author has an hindex of 9, co-authored 43 publications. Previous affiliations of Takafumi Ando include Toyota & Osaka University.
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Papers
Effects of different modes of exercise on appetite and appetite-regulating hormones.
Hiroshi Kawano,Mayuko Mineta,Meiko Asaka,Masashi Miyashita,Shigeharu Numao,Yuko Gando,Takafumi Ando,Shizuo Sakamoto,Mitsuru Higuchi +8 more
TL;DR: It is indicated that weight-bearing exercise has a greater exercise-induced appetite suppressive effect compared with non-weight- bearing exercise, and both forms of exercise lowered acylated ghrelin and increased total PYY, but the changes did not differ significantly between exercise modes.
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Effects of cognitive and visual loads on driving performance after take-over request (TOR) in automated driving
Damee Choi,Damee Choi,Toshihisa Sato,Takafumi Ando,Takashi Abe,Motoyuki Akamatsu,Satoshi Kitazaki +6 more
TL;DR: Effects of cognitive and visual loads on driving performance after take-over request (TOR) in an automated driving task suggest that both cognitive andVisual loads affect driving performance in automated driving, but the effects appear in different time courses.
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Validity of estimating physical activity intensity using a triaxial accelerometer in healthy adults and older adults.
Sho Nagayoshi,Sho Nagayoshi,Yoshitake Oshima,Takafumi Ando,Tomoko Aoyama,Satoshi Nakae,Chiyoko Usui,Shuzo Kumagai,Shigeho Tanaka +8 more
TL;DR: The degree of correlation between predicted and actual METs was comparable in elderly and younger participants, but the prediction errors were greater in elderly participants, particular at higher-intensity activities, which suggests that different predicting equations may be needed for the elderly.
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Impaired Metabolic Flexibility to High-Fat Overfeeding Predicts Future Weight Gain in Healthy Adults.
Brittany Begaye,Karyne Lima Vinales,Tim Hollstein,Takafumi Ando,Mary Walter,Clifton Bogardus,Jonathan Krakoff,Paolo Piaggi +7 more
TL;DR: An impaired metabolic flexibility to acute HFOF can identify individuals prone to weight gain, indicating that an individual’s capacity to oxidize dietary fat is a metabolic determinant of weight change.
Metabolic response to fasting predicts weight gain during low-protein overfeeding in lean men: further evidence for spendthrift and thrifty metabolic phenotypes.
TL;DR: Low-protein overfeeding may be an important tool to identify metabolic phenotypes (spendthrift compared with thrifty) that characterize susceptibility to weight gain during sustained overfeeding in lean individuals.
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