Influence of sense of coherence on adolescents' self-perceived dental aesthetics; a cross-sectional study

Sense of coherence (SOC) is a psychosocial factor capable of influencing perception of health, improving one's ability to manage life. It is the central construct of salutogenesis. SOC allows for identification and mobilization of resources to effectively manage or solve problems, promoting hea...

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Bibliographic Details
Published in:BMC oral health 2017-08, Vol.17 (1), p.117-117, Article 117
Main Authors: da Costa, Aline Cavalcanti, Rodrigues, Fabrícia Soares, da Fonte, Priscila Prosini, Rosenblatt, Aronita, Innes, Nicola Patricia Thérèse, Heimer, Mônica Vilela
Format: Article
Language:English
Subjects:
Adolescent
Adolescents
Aesthetics
Analysis
Child
Cross-Sectional Studies
Dental aesthetics
Dentistry
Esthetics, Dental - psychology
Female
Humans
Male
Multiple regression analysis
Orthodontics
Perception
Perceptions
Quality of life
Self Concept
Self esteem
Self-perception
Sense of Coherence
Socioeconomic factors
Statistical analysis
Surveys and Questionnaires
Teenagers
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Summary:Sense of coherence (SOC) is a psychosocial factor capable of influencing perception of health, improving one's ability to manage life. It is the central construct of salutogenesis. SOC allows for identification and mobilization of resources to effectively manage or solve problems, promoting health and quality of life. Using Wilson-Cleary's conceptual model we hypothesized that SOC might contribute to self-perception of dental aesthetics. The aim of this study was to investigate whether SOC levels were related to self-perception of dental aesthetics against assessed normative orthodontic treatment need among adolescents. A cross-sectional study was conducted with 615 male and female adolescents aged 12 to 15 years. Data collection comprised socio-demographic and socio-economic characteristics, SOC (SOC 13), self-perceived dental aesthetics (Oral Aesthetic Subjective Impact Scale), and assessment of orthodontic treatment need (Dental Aesthetic Index). Statistical analysis involved Pearson's chi-square test, Kruskal-Wallis test, Mann-Whitney test and multiple linear regression. Spearman's correlation coefficient was calculated for the determination of the strength of correlations among the numerical variables. The level of significance was set at 5% (p 
ISSN:1472-6831
1472-6831
DOI:10.1186/s12903-017-0405-2