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1.
J Prosthet Dent ; 123(5): 739-746, 2020 May.
Article in English | MEDLINE | ID: mdl-31383523

ABSTRACT

STATEMENT OF PROBLEM: Smile analysis, as part of the overall facial analysis, is an important component of diagnosis and treatment planning in the esthetic rehabilitation of a patient. Most studies that refer to smile analysis are based on static images. A more comprehensive evaluation can be made with dynamic video images that can be stopped at the most appropriate frame to ensure the best static images for analysis. PURPOSE: The purpose of this clinical study was to evaluate the posed and dynamic smiles of both sexes, considering the type of smile, prevalence of gingival display, dental display at rest, dentogingival display at posed and spontaneous smile, and lip mobility, through digital image acquisition (photographs and video clips) manipulated by using a software program. MATERIAL AND METHODS: Three photographs and 1 video clip were made for each of the 380 voluntary participants aged between 18 and 32 years by using an iPhone 6 iSight 8 MP camera, Moment lens, and artificial 5500 Kelvin light (IceLight). Digital files were evaluated by using a software program (Keynote), determining each point to be evaluated with posed and spontaneous smiles. RESULTS: With static images, 90% of women and 74% of men had gingival display, with only 35% of women and 21% of men having continuous gingival display. With dynamic analysis, these values increased to 100% of women and 95% of men having gingival display and 62% of men and 81% of women having a continuous gingival display (P<.05). The difference between dentogingival display during posed and spontaneous smiles was clear, with 68% of the participants having 2.25 mm more gingival display. Women tend to show slightly more dental display at rest, posed and spontaneous dentogingival display, as well as lip mobility, than men. CONCLUSIONS: The type of smile changes significantly when posed and spontaneous smiles are compared. Women generally show more gingiva and teeth in all the parameters evaluated than men. Dental treatments should be individually planned according to each patient's smile characteristics.


Subject(s)
Esthetics, Dental , Tooth , Adolescent , Adult , Facial Expression , Female , Gingiva , Humans , Lip , Male , Smiling , Young Adult
2.
Span. j. psychol ; 18: e77.1-e77.10, 2015. tab, ilus
Article in English | IBECS | ID: ibc-142791

ABSTRACT

The study describes the representations of 453 Portuguese students about the present financial and economic crisis, examining the impact of the family financial situation on these representations, and the relationship between these representations and different factors likely to influence them. An initial word association task produced 2339 responses, from which 86.75% were classified into six classes by a downward hierarchical classification. Four classes (58.26% of the corpus) confirmed that the austerity measures implemented in Portugal affected the respondents with different degrees of severity: respondents described the consequences of the crisis in terms of misery, difficulties, or change, depending on their family’s income. More generally, the discourses (41.73% of the corpus) pointed out the factors that were viewed as responsible for the crisis as well as the geopolitical situation of Portugal. The answers given to opinion scales revealed a consistent pattern of results: respondents with a lower family income experienced less positive emotions toward the crisis (η2 = .03, p = .007), more negative emotions, stronger feelings of vulnerability and relative deprivation that resulted from comparison with others (all η2 ≥ .05, p < .001). However, the unequal consequences of the crisis were reflected neither in differences in the respondents’ expectations about their future situation, which they foresaw without great changes, nor in their lack of willingness to participate in protest actions against the austerity measures (AU)


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Subject(s)
Adolescent , Adult , Female , Humans , Male , Middle Aged , Damage Assessment in the Economic Sector , Socioeconomic Factors , Social Conditions/trends , 50334/policies , 50334/statistics & numerical data , Poverty/psychology , 16949 , Social Class , Vulnerability Analysis/analysis , Vulnerability Analysis/methods , Vulnerability Analysis/statistics & numerical data , 34658 , Surveys and Questionnaires , Data Analysis/methods , Portugal/epidemiology
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