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Psychological risk indicators for peri‐implantitis: A cross‐sectional study
AIM: The aim of this analytical cross‐sectional study was to evaluate the association between peri‐implantitis and psychological distress, and potentially related/mediating factors such as general health, bruxism, and lifestyle factors. MATERIALS AND METHODS: Patients who received dental implants at...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796085/ https://www.ncbi.nlm.nih.gov/pubmed/35569030 http://dx.doi.org/10.1111/jcpe.13645 |
Sumario: | AIM: The aim of this analytical cross‐sectional study was to evaluate the association between peri‐implantitis and psychological distress, and potentially related/mediating factors such as general health, bruxism, and lifestyle factors. MATERIALS AND METHODS: Patients who received dental implants at a private practice in the Netherlands between January 2011 and January 2014 were recalled on a 5‐year clinical and radiographic follow‐up examination. Presence of peri‐implantitis was examined, and patients completed questionnaires measuring psychological distress (Symptom Checklist [SCL]‐90), bruxism, general health, and lifestyle factors. Associations between the self‐reported factors and peri‐implantitis were analysed with univariate and multivariate logistic regression models. RESULTS: A total of 230 patients (with 347 implants) were included in the analysis. Prevalence of (mild to severe) peri‐implantitis was 30% (69 patients). Variables that showed a significant univariable association with peri‐implantitis (p < .10) were the SCL‐90 subdomain depression, smoking, current medical treatment, and lung problems. In the multivariate regression analysis, depression was the only variable that was significantly associated with peri‐implantitis (p < .05). CONCLUSIONS: The presence of depressive symptoms is a risk indicator for peri‐implantitis. Recognizing the potential negative impact of depressive symptoms may allow for better identification of high‐risk patients. |
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