Journal article
Tooth Grinding in Older Adults: A Retrospective Cross-Sectional Study
Special care in dentistry, Vol.45(5), e70092
09/2025
DOI: 10.1111/scd.70092
PMCID: PMC12400993
PMID: 40888682
Appears in UI Libraries Support Open Access
Abstract
This study aims to determine the prevalence of self-reported tooth grinding among older adult patients at a dental school and to examine the associations between tooth grinding and various demographic and clinical factors.
Data were retrieved from the electronic patient database at the University of Iowa College of Dentistry. Descriptive statistics and bivariate analyses were used to explore associations between tooth grinding and various demographic and clinical factors. Multivariable logistic regression was used to identify factors that were significantly associated with tooth grinding.
Out of 12,550 adults aged 65 years or older, 1598 (12.7%) who responded to the tooth grinding question were included in the analysis, with 853 (53.4%) reporting tooth grinding. Multivariable logistic regression analysis revealed that gender and drug addiction were significantly associated with tooth grinding, with males and those with a history of drug addiction having higher odds.
In this large sample of older adults, self-reported tooth grinding had a high prevalence, with males and those with a history of drug addiction having significantly higher odds of experiencing it.
Details
- Title: Subtitle
- Tooth Grinding in Older Adults: A Retrospective Cross-Sectional Study
- Creators
- Leonardo Marchini - University of IowaJhanvi Desai - University of IowaFang Qian - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Special care in dentistry, Vol.45(5), e70092
- DOI
- 10.1111/scd.70092
- PMID
- 40888682
- PMCID
- PMC12400993
- NLM abbreviation
- Spec Care Dentist
- ISSN
- 0275-1879
- eISSN
- 1754-4505
- Publisher
- Wiley
- Grant note
- Microsoft
The authors would like to express their gratitude to Mr. Charles McBrearty for his assistance in gathering data from the electronic health records. In developing this manuscript, the authors utilized Microsoft's AI language model, Co-Pilot, to improve the clarity and language of the text. After employing this tool, the authors carefully reviewed and adjusted the content as needed, taking full responsibility for the final version of the article.
- Language
- English
- Date published
- 09/2025
- Academic Unit
- Preventive and Community Dentistry; Dental Research
- Record Identifier
- 9984958311102771
Metrics
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