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Barbara Nicklas on Muck Rack

Barbara Nicklas

As seen in: National Institutes of Health, Wiley Online Library, JAMA (The Journal of the American Medical Association), BioRxiv, MedPage Today, Canadian Medical Association Journal, Dove Medical Press
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Articles

Intervening on Calorie Intake or Eating Timing in Older Adults: Lesson

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By Jason Fanning, W Jack Rejeski, Barbara Nicklas, Stephen B Kritchevsky
| Dove Medical Press
Back to Journals » Clinical Interventions in Aging » Volume 20 Authors Fanning J , Rejeski WJ , Nicklas BJ, Kritchevsky SB, Miller ME, Houston DK, Walkup MP, Kennedy K, Stowe CL , Ford S , Yow D Received 8 February 2025 Accepted for publication 12 May 2025 Published 25 May 2025 Volume 2025:20 Pages 685—700 DOI https://doi.org/10.2147/CIA.S520273 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Dr Nandu Goswami Jason...
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Neural Determinants of Sedentary Lifestyle in Older Adults: A Brain Network Analysis

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By Mohsen Bahrami, Jonathan Burdette, Paul J. Laurienti, Barbara Nicklas
| Wiley Online Library Verified
1 Introduction Sedentary lifestyles (SL), which involve the combination of extended sitting and a low volume of steps across the day, independent of time spent in moderate-to-vigorous intensity physical activity (MVPA), have increasingly been linked to multiple important adverse health outcomes (Thorp et al. 2011; Tremblay et al. 2017). Recent reports indicate that 27.5% of the global adult population (Guthold et al. 2018) and over a third of the US population (Du et al. 2019; Guthold et al.
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Insulin resistance, cognition, and functional brain network topology in older adults with obesity

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By Clayton McIntyre, Robert G. Lyday, Yixin Su, Barbara Nicklas
| BioRxiv
Abstract Objective: Cross-sectional data from a sample of older adults with obesity was used to determine how peripheral and neuronal insulin resistance (IR) relate to executive function and functional brain network topology. Methods: Older adults (n=71) with obesity but without type 2 diabetes were included in analyses. Peripheral IR was quantified by HOMA2-IR. Neuronal IR was quantified according to a proposed neuron-derived exosome-based method (NDE-IR).
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