Literature DB >> 23373614

Personality traits as a potential predictor of willingness to undergo various orthodontic treatments.

Vincent Hansen1, Sean Shih-Yao Liu, Stuart M Schrader, Jeffery A Dean, Kelton T Stewart.   

Abstract

OBJECTIVE: To establish an association between patient personality traits and potential willingness to undergo various orthodontic treatments.
MATERIALS AND METHODS: One hundred adolescent individuals aged 12-16 years completed an anonymous electronic questionnaire via Survey Monkey. The 24-item questionnaire contained three major sections: patient demographics, a modified Big Five Inventory (BFI)-10 personality index, and a willingness to undergo treatment assessment. Multiple-variable linear regression analyses were used to determine the associations among age, gender, ethnicity, and the five personality traits simultaneously with willingness to undergo treatment. Statistical significance was set at P ≤ .05.
RESULTS: Ninety-six of the 100 individuals were included in the statistical analysis. Age, ethnicity, and gender failed to correlate with potential willingness to undergo orthodontic treatment. Several personality dimensions within the modified BFI-10 (agreeableness, conscientiousness, and neuroticism) were significantly associated with willingness to undergo various orthodontic treatments (P ≤ .05). Agreeableness demonstrated positive correlations with five treatment modalities, while both conscientiousness and neuroticism exhibited negative associations with a single treatment modality. Openness and extraversion were the only personality dimensions that failed to associate with any of the treatment modalities. Four of the nine treatment modalities had no association with patient demographics or a patient's personality dimensions.
CONCLUSIONS: Personality traits are useful in predicting a patient's potential willingness to participate in various orthodontic treatments. The agreeableness dimension provided the most utility in predicting patient willingness. Age, ethnicity, and gender were not significant in predicting patient willingness.

Entities:  

Mesh:

Year:  2013        PMID: 23373614      PMCID: PMC8744529          DOI: 10.2319/070212-545.1

Source DB:  PubMed          Journal:  Angle Orthod        ISSN: 0003-3219            Impact factor:   2.079


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