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  1. In: Diabetes Stoffwechsel und Herz, Jg. 32 (2023), Heft 3, S. 153-168
    Konferenz
  2. Zhang, Wenqing ; Ma, Yu ; et al.
    In: Journal of Materials science and engineering, Jg. 41 (2023), Heft 2, S. 216-221
    serialPeriodical
  3. Gragnano, Andrea ; Corbière, Marc ; et al.
    In: Disability and rehabilitation, Jg. 45 (2023), Heft 21, S. 3573-3581
    serialPeriodical
  4. Yurov, Vladimir ; Bolshakov, Andrey ; et al.
    In: Physical chemistry chemical physics, Jg. 25 (2023), Heft 39, S. 26623-26631
    serialPeriodical
  5. Scherrenberg, Martijn ; Marinus, Nastasia ; et al.
    In: TRENDS IN CARDIOVASCULAR MEDICINE, Jg. 33 (2023), Heft 5, S. 283-297
    serialPeriodical
  6. Tsubouchi, Nobuteru ; Nomura, Katsuhiro
    In: Crystal growth & design, Jg. 23 (2023), Heft 8, S. 5671-5676
    serialPeriodical
  7. Buke, Goknur Cambaz ; Caylan, Omer Refet ; et al.
    In: Crystal growth & design, Jg. 23 (2023), Heft 8, S. 5462-5468
    serialPeriodical
  8. Chen, Fei ; He, Yuxin ; et al.
    In: CrystEngComm, Jg. 25 (2023), Heft 37, S. 5334-5342
    serialPeriodical
  9. Lin, Bin ; Chen, Xiaotang ; et al.
    In: Journal of materials research and technology, Jg. 24 (2023), S. 9928-9938
    Online serialPeriodical
  10. Wilson, B. Hadley ; Poh, Kian Keong
    In: Journal of the American College of Cardiology, Jg. 81 (2023), Heft 25, S. 2472-2475
    Online serialPeriodical
  11. Naito, Hibiki ; Makino, Yasuyuki ; et al.
    In: Nanoscale advances, Jg. 5 (2023), Heft 18, S. 5115-5121
    Online serialPeriodical
  12. Kayal, Arijit ; Dey, Sraboni ; et al.
    In: Nano letters, Jg. 23 (2023), Heft 14, S. 6629-6636
    serialPeriodical
  13. Houghton, C. ; Bloomer, C. ; et al.
    In: Journal of synchrotron radiation, Jg. 30 (2023), Heft 5, S. 876-884
    Online serialPeriodical
  14. Aggarwal, Pallavi ; Sheoran, Hardhyan ; et al.
    In: Nanoscale, Jg. 15 (2023), Heft 34, S. 14109-14121
    serialPeriodical
  15. Tau, Onofrio ; Lovergine, Nico ; et al.
    In: Carbon, Jg. 206 (2023), S. 142-149
    serialPeriodical
  16. Association of ultra-processed food consumption with incident depression and anxiety: a population-based cohort studyElectronic supplementary information (ESI) available. Table S1. UPF items in the UK Biobank; Table S2. Baseline characteristics by UPF consumption (servings); Table S3. Baseline characteristics by UPF consumption (energy ratio); Table S4. Baseline characteristics by UPF consumption (weight ratio); Table S5. Associations of UPF servings with depression and anxiety stratified by potential modifiers; Table S6. Associations of the UPF energy ratio with depression and anxiety stratified by potential modifiers; Table S7. Associations of the UPF weight ratio with depression and anxiety stratified by potential modifiers; Table S8. Associations between UPF consumption and transitions from the baseline to depression or anxiety, and then to death when using age as time-scale; Table S9. Sensitivity analyses for the association between UPF intake and risk of depression or anxiety when only including participants with at least two completed 24 h recall questionnaires; Table S10. Sensitivity analyses for the association between UPF intake and risk of depression or anxiety when further excluding participants who developed depression or anxiety within the first 2 years of the follow-up; Table S11. Sensitivity analyses for the association between UPF intake and risk of depression or anxiety when further excluding participants with cardiovascular disease (CVD), cancer, or chronic obstructive pulmonary disease (COPD) at the baseline; Table S12. Sensitivity analyses for the association between UPF intake and risk of depression or anxiety when further adjusted for BMI and multimorbidity; Table S13. Sensitivity analyses for the association between UPF intake and risk of depression or anxiety when further adjusted for depression and anxiety symptoms at the baseline; Table S14. Associations between UPF consumption and transitions from the baseline to depression or anxiety, and then to cancer mortality; Table S15. Associations between UPF consumption and transitions from the baseline to depression or anxiety, and then to cardiovascular disease mortality; Table S16. The proportion of missing values; Fig. S1. Restricted cubic spline analyses for the association of UPF consumption with depression (a and b) and anxiety (c and d). Data are presented as the hazard ratio (HR) and their 95% confidence interval (shaded areas). See DOI: https://doi.org/10.1039/d3fo01120h
    Sun, Mengtong ; He, Qida ; et al.
    In: Food & function, Jg. 14 (2023), Heft 16, S. 7631-7641
    serialPeriodical
  17. Guo, Zekun ; Lin, Haojian ; et al.
    In: Crystal growth & design, Jg. 23 (2023), Heft 6, S. 4506-4513
    serialPeriodical
  18. In: Forum, Jg. 40 (2023), Heft 3, S. 51-56
    serialPeriodical
  19. Mu, Haichuan ; Tang, Jingjian ; et al.
    In: Journal of materials chemistry.C, Jg. 11 (2023), Heft 30, S. 10310-10323
    serialPeriodical
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