scholarly journals Dental Panoramic Radiographs as Early Signs of Osteoporosis in Pre and Post Menopausal Women – An Observational Study

2021 ◽  
Keyword(s):  
Observational Study ◽  
Panoramic Radiographs ◽  
Early Signs ◽  
Menopausal Women ◽  
Post Menopausal

Physical Activity, Diet, and Incident Urinary Incontinence in Postmenopausal Women: Women’s Health Initiative Observational Study

2021 ◽  
Author(s):  
Scott R Bauer ◽  
Stacey A Kenfield ◽  
Mathew Sorensen ◽  
Leslee L Subak ◽  
Suzanne Phelan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Urinary Incontinence ◽  
Observational Study ◽  
Weight Change ◽  
Protein Intake ◽  
Macronutrient Intake ◽  
Health Initiative ◽  
Menopausal Women ◽  
Baseline Weight ◽  
Post Menopausal

Abstract Background Physical activity and macronutrient intake, important contributors to energy balance, may be independently associated with female urinary incontinence (UI). Methods We evaluated the association of baseline self-reported physical activity and macronutrient intake, via food-frequency questionnaire, with incident UI subtypes after 3 years among 19,741 post-menopausal women in the Women’s Health Initiative Observational Study. Odds ratios (OR) for incident urgency, stress, and mixed UI were calculated using multivariable logistic regression. Results Women who reported total physical activity (MET-hours/week) ≥30 vs <0.1 were 16% less likely to develop urgency UI (OR=0.84; 95% CI 0.70, 1.00) and 34% less likely for mixed UI (OR=0.66; 0.46, 0.95), although linear trends were no longer statistically significant after adjusting for baseline weight and weight change (P-trend=0.15 and 0.16, respectively). The association between physical activity and incident stress UI was less consistent. Higher uncalibrated protein intake was associated with increased odds of incident urgency UI (≥19.4% versus <14.1% of energy intake OR=1.14; 95% CI 0.99, 1.30; P-trend=0.02), while confidence intervals were wide and included 1.0 for calibrated protein intake. Other macronutrients were not associated with urgency UI and macronutrient intake was not associated with incident stress or mixed UI (P-trend>0.05 for all). Conclusions Among post-menopausal women, higher physical activity was associated with lower risk of incident urgency and mixed UI, but not stress UI, independent of baseline weight and weight change. Higher protein intake was associated with increase urgency UI, but no associations were observed between other macronutrient and UI subtypes.

scholarly journals THE ANALYSIS OF MANDIBULAR TRABECULAE ALVEOLAR PROCESS ON POST-MENOPAUSAL WOMEN THROUGH PANORAMIC RADIOGRAPH

2017 ◽  
Vol 20 (2) ◽  
pp. 52-56
Author(s):  
Azhari Azhari
Keyword(s):  
Bone Quality ◽  
Process Analysis ◽  
Secondary Data ◽  
Panoramic Radiograph ◽  
Distal Portion ◽  
Alveolar Process ◽  
Cross Sectional ◽  
Panoramic Radiographs ◽  
Menopausal Women ◽  
Post Menopausal

The alveolar process is the most supporting tooth containing trabeculae and has the highest metabolic rate in the mandibular body of post-menopausal women. The decreasing in estrogens level on post-menopausal women results a faster reaction than men for 2-3 times. This research aims to determine the bone quality based on trabeculae alveolar process analysis using panoramic radiographs. The research methodology was to conduct 67 samples of panoramic radiographs from RSGM Unpad.  This research applied observational analytic methodology by taking cross-sectional data using secondary data on three groups of bone quality based on measurement using DEXA t-score (normal, osteopenia and osteoporosis). The panoramic radiograph data processing was conducted with Image J software by separating the background and foreground (trabeculae). A focus of 30x30 mm ROI in the alveolar distal portion of the left and right mandibular second premolar teeth, and calculation of trabecular area. Result: average of normal trabecular area: 82.35%, osteopenia: 73.9% and osteoporosis: 68.7% respectively. The difference between normal and osteoporosis was discovered, but no difference was found between normal and osteopenia with p <0.05. This research concludes that the region of interest trabecular of alveolar process with panoramic radiograph can be used to detect osteoporosis on post-menopausal women.

scholarly journals Quantitative and qualitative index for diagnosing osteopenia and osteoporosis in post-menopausal women

2015 ◽  
Vol 21 (1) ◽  
pp. 1 ◽  
Author(s):  
Lituânia Fialho de Miranda ◽  
Denise Sabbagh Haddad ◽  
Emiko Saito Arita ◽  
Plauto Christopher Aranha Watanabe
Keyword(s):  
Panoramic Radiography ◽  
Kappa Statistic ◽  
Mandibular Bone ◽  
Panoramic Radiographs ◽  
Age Related ◽  
Menopausal Women ◽  
Left And Right ◽  
Forearm Bone ◽  
Post Menopausal ◽  
Qualitative Index

<p><strong>Objective:</strong> The objective of this study was to devise a qualitatively and quantitatively reliable index for screening changes in mandibular bone density based on digital panoramic radiographs.</p><p><strong>Methods:</strong> A total of 252 panoramic radiographs and forearm bone densitometry scans of menopausal and post-menopausal women were examined. Diagnosis of osteopenia or osteoporosis was confirmed by comparing forearm densitometry diagnostic reports against diagnoses from radiographs.</p><p><strong>Results:</strong> Pearson’s tests showed a significant association between assessments by the Quantitative and Qualitative Panoramic Index (QQPI) based on panoramic radiography of the mandible and by densitometry (p &lt; 0.001). The Kappa statistic also revealed significant agreement between the two methods of assessment (p &lt; 0.001). A significant association was also found between results of panoramic radiographic assessments of left and right mandible sides (Kappa = 0.676; p &lt; 0.001).</p><p><strong>Conclusion:</strong> These results allowed confirmation of panoramic radiography as a useful method for detecting morphologic age-related changes in the mandible and creation of a single Quantitative and Qualitative Panoramic Index (QQPI) to aid the diagnosis of mandibular osteopenia/osteoporosis.</p>

Abstract MP01: Healthy Lifestyle Factors and Risk of Heart Failure in the Women’s Health Initiative Observational Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Golareh Agha ◽  
Eric B Loucks ◽  
Lesley Tinker ◽  
Molly E Waring ◽  
Dominique Michaud ◽  
...  
Keyword(s):  
Heart Failure ◽  
Observational Study ◽  
Women's Health ◽  
Healthy Lifestyle ◽  
Lifestyle Factors ◽  
Healthy Weight ◽  
Health Initiative ◽  
Menopausal Women ◽  
Post Menopausal ◽  
The Women’S Health Initiative

BACKGROUND: A healthy lifestyle (not smoking, regular exercise, a healthy diet, and a healthy weight) has been shown to be associated with lower risk of coronary heart disease, stroke, and cardiovascular disease mortality. Little is known about the impact of a healthy lifestyle on risk of heart failure (HF). OBJECTIVE: To evaluate the effect of a combination of healthy lifestyle factors on incident HF. METHODS: Participants included 85,048 post-menopausal women from the Women’s Health Initiative (WHI) Observational Study, aged 50-79, who were free of HF at baseline and had a body mass index (BMI) ≥ 18.5 kg/m 2 . Lifestyle factors, assessed at baseline, were: Smoking (never, former, current), physical activity (inactive, somewhat active, active), Alternate Healthy Eating index (AHEI)- a composite numerical index of dietary quality, and BMI. A healthy lifestyle was defined by the following 4 criteria: never smoking, active, high-scoring AHEI (top 40% of the index), and a healthy weight (BMI < 25 kg/m 2 ). Women received 1 point for every healthy lifestyle criterion met, with a possible range of 0-4 points. Self-reported HF was followed up by clinical adjudication using standardized methodology. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: There were 1826 cases of HF during a mean follow-up of 11 years. Individually, all 4 healthy lifestyle factors were significantly and independently associated with a decreased risk of HF, in a graded fashion (For example: HR = 0.68 {95% CI: 0.60,0.78} for active vs. inactive; HR=0.77 {95% CI: 0.68,0.88} for somewhat active vs. inactive). In analyses on the combination of healthy lifestyle factors, an increasing number of healthy lifestyle points was significantly associated with decreased risk of HF in multivariable-adjusted models ( Table ). CONCLUSION: Among a diverse US sample of post-menopausal women, an inverse and graded association was observed between number of healthy lifestyle factors and risk of HF.

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