33 research outputs found

    The Association between Carbohydrate Intake and Periodontal Health in the Elderly

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    Background and Objective: Periodontal disease is one of the most common chronic oral diseases worldwide. A variety of foods may affect periodontal health. Due to the importance of periodontal health in the old age, this study was designed to investigate the association between carbohydrate intake and periodontal health in the elderly in Amirkola, northern Iran. Methods: This cross-sectional study is part of the second phase of the Amirkola Health and Ageing Project (AHAP). The evaluated participants included 400 elderly people (200 men and 200 women). Socio-demographic data of all subjects were recorded in the information form. Periodontal status, including plaque index (PI), periodontal disease index (PDI) and Oral Hygiene Index (OHI) were evaluated. Then, the Semi-Quantitative Food Frequency Questionnaire (SQFFQ) was completed in order to receive daily carbohydrates in grams per day for all Participants. Then, the relationship between carbohydrate intake and periodontal health was evaluated. Findings: The participants consumed an average of 316±102.4 gr/day carbohydrates. The mean range of PI, OHI, PDI and in the high carbohydrate intake (>300 gr) group were 2.18±1.39, 2.84±1.51 and 1.51±0.86, respectively, and this rate was lower than the group with low carbohydrate intake (<300 gr) (1.96±1.52, 2.56±1.53 and 1.37±0.91), but the difference between the two groups was not significant. Conclusion: In the present study, there was no relationship between periodontal health indices and carbohydrate intake

    Photodegradation of organic pollutants RhB dye using UV simulated sunlight on ceria based TiO2 nanomaterials for antibacterial applications

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    To photo-catalytically degrade RhB dye using solar irradiation, CeO2 doped TiO2 nanocomposites were synthesized hydrothermally at 700 °C for 9 hrs. All emission spectra showed a prominent band centered at 442 nm that was attributed to oxygen related defects in the CeO2-TiO2 nanocrystals. Two sharp absorption bands at 1418 cm−1 and 3323 cm−1 were attributed to the deformation and stretching vibration, and bending vibration of the OH group of water physisorbed to TiO2, respectively. The photocatalytic activities of Ce-TiO2 nanocrystals were investigated through the degradation of RhB under UV and UV+ visible light over a period of 8 hrs. After 8 hrs, the most intense absorption peak at 579 nm disappeared under the highest photocatalytic activity and 99.89% of RhB degraded under solar irradiation. Visible light-activated TiO2 could be prepared from metal-ion incorporation, reduction of TiO2, non-metal doping or sensitizing of TiO2 using dyes. Studying the antibacterial activity of Ce-TiO2 nanocrystals against E. coli revealed significant activity when 10 μg was used, suggesting that it can be used as an antibacterial agent. Its effectiveness is likely related to its strong oxidation activity and superhydrophilicity. This study also discusses the mechanism of heterogeneous photocatalysis in the presence of TiO2

    Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study

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    BACKGROUND: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. METHODS: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. RESULTS: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. CONCLUSIONS: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future

    Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

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    Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury. METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility. FINDINGS: In 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30-30·30 million) new cases of TBI and 0·93 million (0·78-1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331-412) per 100 000 population for TBI and 13 (11-16) per 100 000 for SCI. In 2016, the number of prevalent cases of TBI was 55·50 million (53·40-57·62 million) and of SCI was 27·04 million (24·98-30·15 million). From 1990 to 2016, the age-standardised prevalence of TBI increased by 8·4% (95% UI 7·7 to 9·2), whereas that of SCI did not change significantly (-0·2% [-2·1 to 2·7]). Age-standardised incidence rates increased by 3·6% (1·8 to 5·5) for TBI, but did not change significantly for SCI (-3·6% [-7·4 to 4·0]). TBI caused 8·1 million (95% UI 6·0-10·4 million) YLDs and SCI caused 9·5 million (6·7-12·4 million) YLDs in 2016, corresponding to age-standardised rates of 111 (82-141) per 100 000 for TBI and 130 (90-170) per 100 000 for SCI. Falls and road injuries were the leading causes of new cases of TBI and SCI in most regions. INTERPRETATION: TBI and SCI constitute a considerable portion of the global injury burden and are caused primarily by falls and road injuries. The increase in incidence of TBI over time might continue in view of increases in population density, population ageing, and increasing use of motor vehicles, motorcycles, and bicycles. The number of individuals living with SCI is expected to increase in view of population growth, which is concerning because of the specialised care that people with SCI can require. Our study was limited by data sparsity in some regions, and it will be important to invest greater resources in collection of data for TBI and SCI to improve the accuracy of future assessments

    The Relationship between Depression and Periodontal Indices in the Elderly in Amirkola

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    BACKGROUND AND OBJECTIVE: Chronic periodontitis is a slow-growing inflammatory disease that often occurs in adults. In the elderly, periodontal indices may also change due to a number of psychological factors, such as depression and consequent changes in cortisol levels. Therefore, this study was performed to investigate the relationship between depression and periodontal indices in the elderly in Amirkola, Northern Iran. METHODS: This case-control study, which is part of the second phase of the Amirkola Health and Ageing Project (AHAP) to investigate the health status of the elderly in this city, was performed on 300 elderly people. After examination, subjects were divided into two groups: periodontitis (n=100) and control (n=200). In both groups, the presence of depressive symptoms was assessed using the Geriatric Depression Scale (GDS), in which a score of 5 or higher is a sign of depression, and periodontal indices including OHIS and PDI were examined based on PDI≥4 periodontitis criterion. Then, the two groups were compared in terms of the association between periodontal indices and depression. FINDINGS: In this study, 133 were female (44.3%) and 167 were male (55.7%). 35 patients (35%) in the case group and 61 patients (30.5%) in the control group had symptoms of depression. The mean GDS score in patients with periodontitis (3.70±3.68) was slightly higher than healthy individuals (3.49±3.40), but no significant correlation was observed between GDS and PDI. Old age, male gender, lower level of education and smoking were higher in patients with periodontitis, which was statistically significant only in smoking and level of education (p=0.042 and p=0.009, respectively). In this study, a positive and weak relationship was observed between age and PDI (r=0.19 and p=0.001). CONCLUSION: The results showed that there is a relationship between periodontal indices and depression. Although it was not statistically significant, it is clinically noteworthy
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