BMC Oral Health | 卷:22 |
Personality and oral health-related quality of life. Results from an online survey | |
Research | |
Hans-Helmut König1  André Hajek1  | |
[1] Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany; | |
关键词: Oral health; Oral health-related quality of life; Personality; Neuroticism; Conscientiousness; | |
DOI : 10.1186/s12903-022-02486-7 | |
received in 2022-03-22, accepted in 2022-10-06, 发布年份 2022 | |
来源: Springer | |
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【 摘 要 】
BackgroundTo investigate the association between personality factors and oral health-related quality of life.MethodsData were taken from an online survey (representative for the general adult population in Germany in terms of region, sex and age group; n = 3,075) performed in late summer 2021. The well-established Oral Health Impact Profile (OHIP-G5) was used to measure oral health-related quality of life. Moreover, the established 10 Item Big Five Inventory (BFI-10) was used to quantify personality factors (in terms of agreeableness, conscientiousness, extraversion, neuroticism, and openness to experience). Sex, age, family status, educational level, smoking status, alcohol consumption, sports activities, presence of chronic diseases and self-rated health were adjusted for in multiple linear regression analysis.ResultsPearson correlations between oral health-related quality of life and personality factors ranged from r =- 0.17 (conscientiousness) to r = 0.17 (neuroticism). Regressions revealed that low oral health-related quality of life is associated with higher neuroticism (β = 0.39, p < 0.001) and lower conscientiousness (β=-0.51, p < 0.001).ConclusionThis study revealed an association between personality factors (higher neuroticism and lower conscientiousness) and low oral health-related quality of life. Before dental treatment, it may be helpful to measure personality traits of patients in order to predict the expectations of patients, as well as their responses to intended treatments. This may support the identification of the most appropriate method of treatment.
【 授权许可】
CC BY
© The Author(s) 2022
【 预 览 】
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RO202304227529795ZK.pdf | 974KB | ![]() |
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MediaObjects/12903_2022_2486_MOESM1_ESM.docx | 30KB | Other | ![]() |
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