Smile Aesthetics

May, Jeremy; Bussen, Patricia Vitagliano; Steinbacher, Derek M.

doi:10.1002/9781119187127.ch11

Cited by 3 publications

(1 citation statement)

References 67 publications

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“…This is because only intraoral treatments were considered as aesthetic dental treatment in the present study. Although some intraoral clinical features are associated with a more youthful appearance (e.g., gingival display and shape and length of incisors) [ 51 ], most treatments aiming at rejuvenation effect are extraoral, such as botulinum toxin and soft tissue filler injections [ 52 ]. Thus, we suggest that future studies investigate the relation of demand for different aesthetic treatments with self-perception of appearance in different populations and groups.…”

Section: Discussionmentioning

confidence: 99%

Aesthetic dental treatment, orofacial appearance, and life satisfaction of Finnish and Brazilian adults

Campos

Marôco

et al. 2023

PLoS ONE

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Aims To study the probability of seeking/undergoing aesthetic dental treatment (ADT) and compare self-perception of orofacial appearance (OA) based on sex, age, and monthly income; and to estimate the impact of OA on life satisfaction (LS) among Finnish and Brazilian adults, considering the indirect effect of receiving ADT and the moderating effects of those sociodemographic variables. Methods This was an online cross-sectional study. Orofacial Esthetic Scale (OES), Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ) and Satisfaction with Life Scale (SWLS) were used. Probability of seeking/receiving ADT was calculated using logistic regression and odds ratio (OR). OA scores were compared according to sociodemographic characteristics (ANOVA, α = 5%). Structural equations models estimated the impact of OA on LS. Results 3,614 Finns [75.1% female, 32.0 (SD = 11.6) years] and 3,979 Brazilians [69.9% female, 33.0 (SD = 11.3) years] participated in the study. Women were more likely to receive ADT than men in both countries (OR>1.3). However, no statistically or practical significant differences were observed in OA between sexes (p>0.05 or p<0.05, ηp2 = 0.00–0.02). In Finland, demand for ADT (OR = 0.9–1.0) and OA scores (p>0.05) were the same among different ages and monthly income. In Brazil, younger individuals (OR>1.6) and those with higher monthly income (OR>2.7) were more likely to receive ADT, while those with lower income had a greater psychosocial impact of OA (p<0.05; ηp2>0.07). Individuals who were more satisfied with their own OA and had less psychosocial impact from OA had higher levels of LS (β = 0.31–0.34; p<0.01; explained variance: 9.8–13.1%). Conclusion Demand for ADT is influenced by sociodemographic and cultural factors. Greater societal pressure on physical appearance is observed among women in Western countries. In countries with high socioeconomic inequalities, consumerism and social prestige are involved in this demand. Self-perception of orofacial appearance plays a significant role in individuals’ subjective well-being. Therefore, the planning of aesthetic treatments in the orofacial region should consider the patient’s perceptions and social context.

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Section: Discussionmentioning

confidence: 99%

Aesthetic dental treatment, orofacial appearance, and life satisfaction of Finnish and Brazilian adults

Campos

Marôco

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

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Correlation of social smile symmetry with facial symmetry

Abbasi,

Golshah,

Seifodini

2023

BMC Oral Health

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Background This study aimed to assess the correlation of social smile symmetry with facial symmetry. Methods In this cross-sectional study, frontal view photographs were obtained from 169 eligible patients at rest and smiling with a camera at the level of their nose tip. Several landmarks were selected for facial symmetry and measured at rest and social smiling at the two sides of the face. The respective formula was used to calculate the asymmetry index (AI). The mean values for each AI were calculated, and the correlation between the criteria for a symmetric smile in a social smile with the criteria for facial symmetry, and the correlation between the difference in symmetry criteria at rest and social smiling with facial symmetry criteria were analyzed. Results Significant correlations were noted between Oc-b AI (smile) and Sn-B (rest) facial AI (P = 0.046), An-a (smile) AI and Gn-a (rest) facial AI (P = 0.002), An-b (smile) AI and Sn-b (rest) facial AI (P < 0.001), Pog-a (smile) and Sn-a (rest) facial AI (P < 0.001), Nt-a (smile) and Sn-a (rest) facial AI (P < 0.001), Nt-b (smile) and Sn-b (rest) facial AI (P < 0.001), Ph-a (smile) and Sn-a (rest) facial AI (P < 0.001), Ph-b (smile) and Sn-b (smile) facial AI (P = 0.007), Oc-b AI (difference) and Gn-b (rest) facial AI (P = 0.031), Oc-Pog (difference) AI and Gn-b (rest) facial AI (P = 0.041), An-b (difference) AI and Sn-b (rest) facial AI (P < 0.001), Nt-a (difference) and Sn-a (rest) facial AI (P = 0.006), Nt-b (difference) and Sn-b (rest) facial AI (P < 0.001), and Ph-b (difference) and Sn-b (rest) facial AI (P < 0.001). Conclusions A significant correlation exists between social smile symmetry and facial symmetry.

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