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Purpose: An accurate assessment of time spent in 24-hour movement behaviors (24 h-MBs) is crucial in exploring health related associations. This study aims to evaluate the concurrent validity of the Daily Activity Behavior Questionnaire (DABQ) compared to the ActiGraph using absolute and relative indicators of validity.
Methods: This cross-sectional observational study included 105 adults (45 ± 13 y/o, 54% female). Participants wore an ActiGraph during seven consecutive days followed by filling in the DABQ recalling the past seven days. Intraclass correlations (95% confidence intervals), Bland-Altman plots, Spearman's correlations and the magnitude of error were calculated to estimate the absolute agreement and validity. Interaction effects between sociodemographic variables and the measurement methods were explored in mixed models. All analyses were compared by four commonly used data processing methods for ActiGraph data (cut-points and data reduction method-specific).
Results: Moderate absolute agreement (ICC = 0.56) and validity (rho=0.58) was found for sleep comparing the DABQ with the ActiGraph. Time spent in sedentary behavior (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) showed poor absolute agreement (ICC: 0.01-0.38, ICC: 0.00-0.31; ICC: 0.23-0.30) and validity (rho: 0.01-0.43, rho: 0.10-0.46; rho: 0.38-0.44) comparing the DABQ with the ActiGraph. The Ranges in ICC and Spearmans' rho include the comparison between the four data processing methods. A significant interaction was found between the measurement method and educational level (p < 0.001), in specific for sleep, SB and LPA.
Conclusion: Compared to the ActiGraph, the DABQ showed accurate time-use estimates for sleep but presented poor to moderate evidence of validity regarding SB, LPA and MVPA. This was shown in underestimations regarding SB and MVPA, and overestimations regarding LPA. However, educational level and data processing methods contributed to these variations.
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http://dx.doi.org/10.1186/s12889-024-21139-8 | DOI Listing |
J Appl Clin Med Phys
September 2025
Department of Radiation Oncology, University of Utah, Salt Lake City, Utah, USA.
Purpose: The development of on-board cone-beam computed tomography (CBCT) has led to improved target localization and evaluation of patient anatomical change throughout the course of radiation therapy. HyperSight, a newly developed on-board CBCT platform by Varian, has been shown to improve image quality and HU fidelity relative to conventional CBCT. The purpose of this study is to benchmark the dose calculation accuracy of Varian's HyperSight cone-beam computed tomography (CBCT) on the Halcyon platform relative to fan-beam CT-based dose calculations and to perform end-to-end testing of HyperSight CBCT-only based treatment planning.
View Article and Find Full Text PDFJ Pediatr Hematol Oncol
September 2025
Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Purpose: In children with Langerhans Cell Histiocytosis (LCH), FDG-PET/CT is used for staging and response assessment. Whole-body MRI (WB-MRI) can serve as an ionizing radiation-free alternative for repeated whole-body imaging. The aim of this study was to compare WB-MRI with FDG-PET/CT for staging and response assessment in pediatric LCH.
View Article and Find Full Text PDFJ Chem Phys
September 2025
National Synchrotron Radiation Laboratory, State Key Laboratory of Advanced Glass Materials, Anhui Provincial Engineering Research Center for Advanced Functional Polymer Films, University of Science and Technology of China, Hefei, Anhui 230029, China.
Polymer density is a critical factor influencing material performance and industrial applications, and it can be tailored by modifying the chemical structure of repeating units. Traditional polymer density characterization methods rely heavily on domain expertise; however, the vast chemical space comprising over one million potential polymer structures makes conventional experimental screening inefficient and costly. In this study, we proposed a machine learning framework for polymer density prediction, rigorously evaluating four models: neural networks (NNs), random forest (RF), XGBoost, and graph convolutional neural networks (GCNNs).
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Chemistry and Biochemistry, Florida State University, Tallahassee, Florida 32306-4390, USA.
We present an implementation of relativistic double ionization potential (DIP) equation-of-motion coupled cluster (EOMCC) with up to 4-hole-2-particle (4h2p) excitations that makes use of the molecular mean-field exact two-component (mmfX2C) framework. We apply mmfX2C-DIP-EOMCC to several neutral atoms and diatomic molecules to obtain the ground and first few excited states of the corresponding dication species, and we observe excellent agreement (to within 0.001 eV) between DIPs obtained from mmfX2C- and four-component DIP-EOMCC calculations that include 3-hole-1-particle (3h1p) excitations, with either the Dirac-Coulomb or Dirac-Coulomb-Gaunt Hamiltonians.
View Article and Find Full Text PDFIntensive Care Med Exp
September 2025
Critical Care Division, Integrated Hospital Care Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
Background: The relationship between carbon dioxide pressures (PCO) and contents (CCO) is linked to the Haldane effect. Nevertheless, under shock conditions, hydrogen ion accumulation might strongly influence the discrepancies between PCO and CCO. This study aims to evaluate the impact of hydrogen ion accumulation and hemoglobin oxygen saturation (Haldane effect) on PCO:CCO relationships during induction and resuscitation of endotoxemic shock.
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