The Correlation Between Morphologic Characteristics of Condyle and Glenoid Fossa with Different Sagittal Patterns of Jaw Assessed by Cone-Beam Computed Tomography

Objective:This study aimed to determine the relationship between the morphologic characteristics of condyle and glenoid fossa in different sagittal skeletal patterns using cone-beam computed tomography.Methods:In this cross-sectional study, the lateral cephalometric and cone-beam computed tomography images of 90 patients were evaluated. The patients were categorized into three equal groups of sagittal skeletal patterns, according to the ANB angle. The greatest anteroposterior and mediolateral diameters of the mandibular condyles, as well as the angle between the long axis of the mandibular condyles and the midsagittal plane, were measured on the axial view of cone-beam computed tomography images. The anterior joint space, superior joint space, posterior joint space, articular eminence inclination, depth of the glenoid fossa, and width of the glenoid fossa were also measured on the central sagittal slices. One-way analysis of variance (ANOVA), Tukey’s post hoc test and chi-square test were performed.Results:Patients with the skeletal Class III had a significantly higher articular eminence inclination, while Class II patients had a lower articular eminence inclination (P = .001). In Class III patients, the depth of the glenoid fossa was greater, and the width of the glenoid fossa was smaller than in the other groups (P < .01). The anterior and posterior joint space did not show any significant differences between the 3 groups.Conclusion:There were significant differences in some morphological characteristics of the condyle and glenoid fossa in patients with different sagittal skeletal patterns; therefore, this relationship should be considered in the treatment of these patients

Health Related Quality of Life and Its Socio-Demographic Determinants among Iranian Elderly People: a Population Based Cross-Sectional Study

Introduction: In the stage of demographic transition, the rate of elderly is increasing and their health condition is a matter of concern. Thus, the objective of this study was to investigate the health related quality of life (QoL) and the associated socio-demographic determinants among Iranian elderly people. Methods: We conducted a cross-sectional study with a representative samples of 750 elderly people whom community dwelling in urban area of Babol, in the north of Iran. In a household survey, the demographic data were collected and the health related QoL was assessed with a validated standard short form questionnaire (SF-36). The multiple linear regression analysis was performed to determine the demographic characteristics in predicting QoL using SPSS ver 13. Results: The overall mean (SD) scores of QoL was 62.4(17.2) for men and 51.2 (17.9) for women. The mean scores of QoL in all dimensions in men had significantly higher than women. The adjusted regression coefficient of gender, age, educational level, being couple were significant on overall scores of QoL. Aging is inversely associated while male gender and education at high school or higher and being couple are positively associated in prediction of overall scores of QoL. Conclusion: The findings indicate that the health related QoL is rather poor in old people particular in women, elderly with low education level and being single. Therefore, healthcare policy makers should consider an urgent health interventional program among elderly people at present stage of demographic transition with emphasis on high risk demographic profiles

Are gender differences in health-related quality of life attributable to sociodemographic characteristics and chronic disease conditions in elderly people?

Background: The objective of this study was to determine the gender differences in health-related quality of life (HRQoL) and to indicate to what extent this difference can be explained by differential in demographic and chronic disease conditions in Iranian elderly people. Methods: This analysis was carried out on cross-sectional data of QoL assessment among 750 elderly individuals aged 60–90 years who were dwelling in urban population of Babol, the North of Iran. The multiple linear regression model was used to estimate the association between gender and HRQoL after controlling sociodemographic characteristics and chronic disease conditions. Results: Women had significantly lower score in HRQoL in all subscales compared with men after adjusting several confounding factors (P = 0.001). The unadjusted mean difference in overall HRQoL scores was −11.2 (95% confidence interval [CI]: −13.8, −8.6) points, but it was reduced to −6.5 (95% CI: −9.0, −3.9) points between gender after adjusting by age, educational level, living status, physical activity, smoking, abdominal obesity, diabetes, and hypertension. Conclusions: Adjusting for sociodemographic and chronic disease conditions reduced the effect size of poorer HRQoL for women compared with men but did not remove the sex differences. The poorer scores of HRQoL in Iranian women needs further physical, psychological, and social supports in elderly

Does the low-density lipoprotein cholesterol play a key role in predicting metabolic syndrome in the Iranian adult population?

Background: The low density lipoprotein cholestrol (LDL-C) has an important role in the pathogenesis of cardiovascular disease but its association and predictive accuracy with metabolic syndrome (MetS) remains controversial. The objective of this study was to investigate the association and predictive ability of LDL-C with MetS. Methods: We analyzed the data from a population-based cross-sectional study conducted on representative samples of an Iranian adult population. The demographic data, anthropometric measures and the lipid profiles were measured with standard methods, and MetS was diagnosed by ATP III criteria. Logistic regression model and ROC analysis were used to estimate the predictive accuracy of LDL-C and its association with MetS. Results: The mean age (&plusmn;SD) of participants with and without MetS was 47.6&plusmn;12.5 years and 39.1&plusmn;12.9 years, respectively (p=0.001). All anthropometric measures (body mass index, waist circumference, waist to hip ratio, waist to height ratio), systolic blood pressure, total cholesterol, triglycerides and fasting blood glucose were significantly higher in MetS, but a significantly higher difference in LDL-C was observed only in women. Accuracy of LDL-C in predicting MetS for men and women was 0.48 (95% CI: 0.43-0.54) and 0.55 (95% CI: 0.51-0.60), respectively. The unadjusted and adjusted odds ratios of different quartiles of LDL-C compared with 1st quartile did not reach to a significant level. Conclusion: Serum LDL-C level is not significantly associated with MetS but exhibits a weak ability in predicting MetS in women