A Cross-Sectional Study on Cognitive Vulnerability Patterns in Dental Anxiety: The Italian Validation of the Dental Fear Maintenance Questionnaire (DFMQ).
Roberta GasparroFederica Di SpiritoMario CangianoArianna De BenedictisPasquale SammartinoGilberto SammartinoVincenzo BochicchioNelson Mauro MaldonatoCristiano ScandurraPublished in: International journal of environmental research and public health (2023)
Dental anxiety is a crucial problem for dentistry because it may represent a significant risk to oral health. Within the framework of the Cognitive Vulnerability Model (CVM), which sheds light on the cognitive vulnerability patterns that may cause dental anxiety, this study aimed to assess the psychometric characteristics of the Italian version of the Dental Fear Maintenance Questionnaire (DFMQ). The DFMQ is a 32-item questionnaire that assesses four cognitive vulnerability patterns, i.e., dangerousness, disgust, unpredictability, and uncontrollability. In a sample of 200 dental patients who had accessed public-university-hospital dental surgery, this study assessed the model fit of the DFMQ and different types of validity (i.e., predictive, convergent, construct, and discriminant validity). In addition, potential differences between DFMQ dimensions were assessed based on gender (men vs. women) and age ranges. All indicators of cognitive vulnerability were significantly associated with high dental anxiety when each variable was included independently. In contrast, when the DFMQ subscales were considered together, only unpredictability and uncontrollability were found to be associated with high dental anxiety. Women had higher scores for unpredictability, uncontrollability, and general dangerousness than men. In addition, older patients had higher scores for some vulnerability cognitive patterns than younger patients. This study provides Italian dentists and researchers with a valid questionnaire to assess cognitive factors associated with dental anxiety.
Keyphrases
- oral health
- climate change
- psychometric properties
- sleep quality
- cross sectional
- type diabetes
- mental health
- healthcare
- magnetic resonance
- pregnant women
- computed tomography
- emergency department
- risk assessment
- metabolic syndrome
- coronary artery disease
- risk factors
- polycystic ovary syndrome
- physical activity
- atrial fibrillation
- prefrontal cortex