Objective: To analyze the relationship between age, body mass index (BMI), bone mineral density (BMD), and alveolar bone resorption with menopause duration in postmenopausal women. Material and Methods: A cross-sectional study was developed involving 59 subjects, aged 45 to 80 years and categorized the duration of menopause as ≤5 years and >5 years. Body mass index measurement and menopause duration were collected. Bone loss seen on radiography was measured by drawing a vertical line from the cementoenamel in the distal part of the 36 teeth and the mesial portion of 46 teeth to the base of the bone marked by the lamina dura intact. Categorical determinations of age, BMI, BMD, and alveolar bone resorption were based on receiver operating characteristic (ROC) curves. Were used Pearson correlation and Spearman correlation tests with the significance level set at 5%. Results: The majority of subjects (54.2%) with menopause duration >5 years were aged >54.5 years, most had BMI >24.2 kg/m 2 (39%), had bone resorption >2.95 mm (52.5%), and had bone density ≤73.89 (49.2%). Pearson and Spearman correlation tests showed no significant correlation between age, BMI, bone density, and alveolar bone resorption (p>0.05). Conclusion: The longer the duration of menopause showed a tendency for lower bone density and higher age, BMI, and bone resorption.

Background. Gender identification by using skeletal identification is an important tool in forensic, medico-legal, bioarkeology, and anthropology. Traditional morphological methods depended on the anthropologist subjectivity that caused a significant difference among the observer. This study aims to develop the discriminant function for gender prediction in a Surabaya-Indonesia population age ranges 15-25-year-olds by using a panoramic radiograph. This research used 273 panoramic radiographs consisted of 129 male panoramic radiographs and 144 female panoramic radiographs. The researchers measured 11 parameters of the jaw such as two gonial angles, two mandibular ramus heights, two mandibular ramus widths, two mandibular corpus lengths, two nasal line maxilla, and anterior mandibular corpus heights. The researchers analyzed the data by using the discriminant analysis of the IBM SPSS statistic 24.Results. the result of our study shows there were significant differences in the jaw morphometry between males and females, except the mandibular ramus widths. The jaw size in males was larger than that of the female. The biggest dimorphism variables based on the Wilks lambda value were gonial angles, mandibular ramus heights, mandibular corpus lengths, and nasal lines. While the smallest dimorphism variables were mandibular ramus widths. The accuracy of discriminant analysis for each variable ranges from 47.3% to 93.8%. Conclusion.This preliminary study in Surabaya-Indonesia population age ranges 15-25-year-olds by using panoramic radiograph shows the highest accuracy of gender prediction by using discriminant function was obtained from the combination of the nine jaw parameters.

Osteoporosis has become a worldwide problem and has been known as a silence disease. Nowadays, there are a lot of diagnostic tools for detecting osteoporosis. Eighty eight postmenopausal were included and underwent digital panoramic, digital periapical, and conventional radiography. Ultrasound bone densitometry of os calcis used as gold standard. Correlation between stiffness index (SI) with a digital dental, digital panoramic and conventional dental radiography are 0.170 (p = 0.11),-0382 (p = 0.001) and 0.246 (p = 0.021) respectively. Significant relationship was found between the SI only with digital panoramic and conventional dental. The highest correlation was found between SI values with mandibular Inferior Cortex on digital panoramic (-0.382, Pearson Correlation Tests). Correlation between digital panoramic radiographs and the SI values was the highest of the three radiographic modalities in this study. This indicates that evaluation of cortical bone is more accurate than cancellous bone. Bone quality evaluation in patients at high risk for osteoporosis using panoramic and dental conventional radiograph by dentist, contributes in preventing further occurrence of osteoporosis which in turn could reduce mortality and morbidity of osteoporosis in Indonesia.

Background: Postmenopausal women exhibit reduced bone mineralization, which causes bone resorption, including that of alveolar bone. Parathyroid hormone has been shown to play a role in alveolar bone resorption. Objective: This study aims to analyze relationships between parathyroid hormone and other factors that may contribute to alveolar bone resorption in postmenopausal women. Methods: This cross-sectional study included 82 postmenopausal women aged 50–74 years, who resided in Central and East Jakarta, Indonesia. Subjects' data were obtained through questionnaires, dental examinations, and blood collection for the examination of parathyroid hormone levels by enzyme-linked immunosorbent assay and using panoramic radiography to measure bone resorption. Results: Spearman correlation analysis showed a significant correlation between parathyroid hormone level (p = 0.005) and extent of alveolar bone resorption, but age (p = 0.292), menopausal duration (p = 0.244), and number of missing teeth (p = 0.517) were not significantly correlated with the extent of alveolar bone resorption. Conclusion: Various factors play a role in the mechanism of bone resorption, so knowing the role of each factor is expected to reduce the effects of alveolar bone resorption that occurs in postmenopause. Among the factors investigated in this study, the parathyroid hormone was the sole factor correlated with postmenopausal alveolar bone resorption.

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