ABSTRACT
SUMMARY OBJECTIVE: Obesity is one of the etiological factors of sleep disorders (e.g., obstructive sleep apnea and restless leg syndrome). The aim of this study was to determine the effect of obesity on sleep quality by using the Pittsburgh Quality İndex and Berlin Question are and evaluate the association of sleep with anthropometric and metabolic parameters. METHODS: A total of 76 patients (41 females and 35 males) between the ages of 18 and 70 years with a body mass index >30 kg/m2 were included in this study. Homeostatic model assessment-insulin resistance, hemoglobin A1c, alanine aminotransferase, aspartate transaminase, total cholesterol, low-density lipoprotein, triglyceride, high-density lipoprotein, and thyroid-stimulating hormone levels were analyzed. Sleep quality was evaluated with the Pittsburgh Sleep Quality Index, Berlin Questionnaire, and the Restless Leg Syndrome Questionnaire. RESULTS: A significant correlation was observed between Pittsburgh sleep quality index and body mass index, neck circumference, body fat index, muscle mass, hip and waist circumference, hemoglobin A1c, and homeostatic model assessment-insulin resistance (ps<0.005). The Pittsburgh sleep quality index median (2.5-97.5 percentile) value was 8 (2-18.6) in the patient group and 3.5 (0.1-7.9) in the control group (p<0.0001). Body mass index was found to be the predictor on Pittsburgh sleep quality index (R2=0.162, F=3.726, analysis of variance p=0.008). Notably, 88% (67) and 95% (57) of the poor sleepers were found to be at high risk for obstructive sleep apnea according to Berlin Questionnaire and Pittsburgh Sleep Quality Index, respectively. Also, the frequency of restless leg syndrome was 45% in obese individuals. CONCLUSIONS: We observed a significant correlation between Pittsburgh sleep quality index and the anthropometric and metabolic parameters. Also, the frequency of obstructive sleep apnea and restless leg syndrome was 88% and 45%, respectively, in obese individuals.
ABSTRACT
Abstract Introduction: The face is the most important factor affecting the physical appearance of a person. In facial aesthetics, there is a specific mathematical proportion, which is called golden proportion, used to measure and analyse facial aesthetic qualities in population. Objectives: The aim of this study was to measure the facial soft tissue proportions which would help to constitute a standard for facial beauty and diagnose facial differences and anomalies and to compare these proportions to the golden proportion. Methods: One hundred and thirty-three (133) Turkish patients 18-40 years of age (61 females, 72 males) were involved in the study. Analysis of the photographs was performed by the same physician, and a software programme was used (NIH Image, version 1.62). Facial proportions were measured and differences from the golden proportions were recorded and grouped as normal (1.6-1.699), short (<1.6) and long (>1.699). Results: According to the facial analysis results, the trichion-gnathion/right zygoma-left zygoma was assessed: 33.1% of the patients were in normal facial morphology, 36.8% were in long facial morphology and 30.1% were in short facial morphology, according to this proportion. The trichion-gnathion/right zygoma-left zygoma proportion was significantly higher in males than females (p < 0.001). Statistically significant difference was noted in gender groups, according to the trichion-gnathion/right zygoma-left zygoma and the right lateral canthus-left lateral canthus/right cheilion-left cheilion proportions (p = 0.001, p = 0.028). Conclusion: Facial proportion assessments in relation to the golden proportion showed that a statistically significant difference was observed between gender groups. Long facial morphology was observed more in males (51.4%); normal (41%) and short (39.3%) facial morphology were more common in females. The measurements and proportions for facial balance in our study population showed that the facial width and height proportions deviated from the golden proportion.
Resumo Introdução: A face é o aspecto mais importante da aparência física de uma pessoa. Na estética facial, existe uma proporção matemática específica, chamada de proporção áurea. A proporção áurea é usada para medir e analisar as qualidades estéticas da face na população. Objetivo: Medir as proporções dos tecidos moles faciais que contribuem para o padrão da beleza facial, auxiliar a percepção e o diagnóstico das diferenças e anomalias faciais e comparar essas proporções com a proporção áurea. Método: Foram incluídos no estudo 133 pacientes turcos com 18 a 40 anos (61 mulheres, 72 homens). A análise das fotografias foi realizada pelo mesmo médico e um programa de software foi usado (NIH Image, versão 1.62). As proporções faciais foram medidas e as diferenças das proporções áureas foram registradas e agrupadas como normais (1,6-1,699), curtas (< 1,6) e longas (> 1,699). Resultados: De acordo com os resultados da análise facial, avaliou-se a proporção do tríquion-gnátio/zigoma direito-zigoma esquerdo e 33,1% dos pacientes apresentaram morfologia facial normal, enquanto 36,8% tinham morfologia facial longa e 30,1% morfologia facial curta, segundo essa proporção. A proporção do tríquion-gnátio/zigoma direito-zigoma esquerdo foi significantemente maior em homens do que em mulheres (p < 0,001). Uma diferença estatisticamente significante foi observada entre os sexos, de acordo com a proporção do tríquion-gnátio/zigoma direito-zigoma esquerdo e do canto lateral direito-canto lateral esquerdo/ângulo cantal direito- ângulo cantal esquerdo (p = 0,001, p = 0,028). Conclusão: A avaliação da proporção facial em relação à proporção áurea mostrou que houve diferença estatisticamente significante entre os sexos. A morfologia facial longa foi mais observada no sexo masculino (51,4%), a morfologia facial normal (41%) e a curta (39,3%) foram mais comuns no sexo feminino. As medidas e proporções para o equilíbrio facial em nossa população estudada mostraram que as proporções de largura e altura faciais se desviaram da proporção áurea.