Objective: Dental fear screening is an important part of providing a positive pediatric dental experience. To improve efficiency, the development of a single-item dental fear assessment tool for children has been desired. In this psychometric analysis, the reliability and validity of the Dental Anxiety Question (DAQ) is studied when used in children aged 7 to 18 years.
Methods: Participants completed the DAQ (pre-tx-DAQ), the Children's Fear Survey Schedule-Dental Subscale (CFSS-DS), and a demographic information questionnaire before treatment. Participants repeated the DAQ after treatment (post-tx-DAQ) and once more at least 2 weeks later (follow-up-DAQ). Stability reliability within the DAQ scores and criterion validity with the CFSS-DS were evaluated.
Results: Stability reliability analyses between pre-tx-DAQ/post-tx-DAQ and post-tx-DAQ/follow-up-DAQ demonstrated significant positive correlations: Spearman rank correlation coefficient (rs) = 0.420, rs2 = 0.18, P < .001, and rs = 0.563, rs2 = 0.32, P < .001, respectively. Criterion validity analysis between the pre-tx-DAQ and CFSS-DS also demonstrated a significant correlation: Pearson correlation coefficient (r) = 0.584, r2 = 0.34, P < .001.
Conclusion: The stability reliability and criterion validity of the DAQ was proved among children.
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http://dx.doi.org/10.2344/anpr-69-01-04 | DOI Listing |
Chem Commun (Camb)
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Sardar Vallabhbhai National Institute of Technology, Ichchanath, Surat-395 007, Gujarat, India.
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College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
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View Article and Find Full Text PDFPLoS Comput Biol
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Department of Physical-Chemistry, Complutense University of Madrid, Madrid, Spain.
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View Article and Find Full Text PDFNanoscale
January 2025
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Neurodegenerative diseases, characterized by the progressive deterioration of neuronal function and structure, pose significant global public health and economic challenges. Brain-Derived Neurotrophic Factor (BDNF), a key regulator of neuroplasticity and neuronal survival, has emerged as a critical biomarker for various neurodegenerative and psychiatric disorders, including Alzheimer's disease. Traditional diagnostic methods, such as Enzyme-Linked Immunosorbent Assay (ELISA) and electrochemiluminescence (ECL) assays, face limitations in terms of sensitivity, stability, reproducibility, and cost-effectiveness.
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