10.1371/journal.pone.0164877.g002 Kota Fukai Kota Fukai Sei Harada Sei Harada Miho Iida Miho Iida Ayako Kurihara Ayako Kurihara Ayano Takeuchi Ayano Takeuchi Kazuyo Kuwabara Kazuyo Kuwabara Daisuke Sugiyama Daisuke Sugiyama Tomonori Okamura Tomonori Okamura Miki Akiyama Miki Akiyama Yuji Nishiwaki Yuji Nishiwaki Yuko Oguma Yuko Oguma Asako Suzuki Asako Suzuki Chizuru Suzuki Chizuru Suzuki Akiyoshi Hirayama Akiyoshi Hirayama Masahiro Sugimoto Masahiro Sugimoto Tomoyoshi Soga Tomoyoshi Soga Masaru Tomita Masaru Tomita Toru Takebayashi Toru Takebayashi Associations between TPA and metabolite measurements. Public Library of Science 2016 regression analysis models capillary electrophoresis mass spectrometry method body mass index 4- methyl -2-oxoisopentanoate 2- oxoisopentanoate non-communicable diseases Community-Dwelling Men Objective Physical activity FDR type 2 diabetes Conclusions Physical activity Plasma metabolite concentrations fasting blood samples Total Physical Activity future insulin resistance plasma metabolites 2016-10-14 17:32:43 Figure https://plos.figshare.com/articles/figure/Associations_between_TPA_and_metabolite_measurements_/4034226 <p>Associations between metabolites and TPA level (Q1, Q2, Q3, Q4) in the original (left) and replication (right) populations. Linear regression between each metabolite and TPA was performed. Raw p-values for unadjusted and adjusted models are shown. Fold change (with 95% CI) per one-unit increase in TPA level were calculated using the beta of the linear regression analysis of the unadjusted model. The blue bars mean lower concentrations and the red bars mean higher concentrations in highly active groups. Metabolites associated with TPA levels are shown in this figure (FDR p <0.05 for unadjusted model in the original population). Replication analysis was performed only for these metabolites. AAs, amino acids; CI, confidence interval. <sup>#</sup>Adjusted for age, BMI, smoking (never/former/current), current alcohol drinker (yes/no), and energy intake (high/low).</p>