Background: The present study was conducted to assess effect of cigarette smoking on different denture base material.
Materials & Methods: The present study was conducted in the department of Prosthodontics. A total of sixty wax specimens in the shape of circular discs were prepared. These were divided into two groups. Group I (30) specimens were heat‑cured denture base materials and group II (30) specimens were flexible denture base materials. Both specimens were further divided into four subgroups of 15 each. Subgroup I was heat‑cured denture base material specimens (control group), subgroup II was flexible denture base material specimens (control group), subgroup III was heat‑cured denture base material specimens exposed to cigarette smoking (study group) and subgroup IV was flexible denture base material specimens exposed to cigarette smoking (study group). The initial (IRa) and final (FRa) surface roughness was measured before and after smoking test of the specimens.
Results: It was observed that in group I, mean IR (µm) value was 0.182 and FR value was 0.572. In group II, mean IR (µm) value was 0.265 and FR value was 0.831. In group III, mean IR (µm) value was 0.195 and FR value was 1.892. In group IV, mean IR (µm) value was 0.291 and FR value was 1.892. The difference was significant (P< 0.05).
Conclusion: The surface roughness of the specimens fabricated from the flexible denture base material was found to be more compared to heat‑cured denture base specimens after exposure to cigarette smoke. There is need to educate the patients regarding cleanliness of denture to avoid infection in the oral cavity.
Background: Despite its negative effects, approximately 23% of Palestinians (≥ 18 years) smoke cigarettes. Studies have shown physicians to be an important channel for smoking cessation intervention. This investigation examines physicians’ smoking-related knowledge, attitudes, and behaviors in the Gaza strip (Palestinian Territories).
Methods and findings: A convenience sample of 154 physicians in medical and surgical units took part in this investigation (87.7% response rate). The data show that 37.8% of physicians in Gaza smoke, and most of them about 72% smoke in the hospital’s public spaces, thereby implicitly giving public approval for smoking. While 82.4% reported that they advise patients who smoke to stop, the majority (59%) also believe that their own smoking habits negatively influence the impact of that advice.
Unfortunately, our survey showed that physicians’ knowledge levels towards smoking addiction and management were lower than expected (e.g. only 34% knew that nicotine dependence is a psychiatric disorder that necessitates treatment). The physicians in this study believed that the primary barriers to failure of their patients’ smoking cessation were the perceived lack of will (81.3%), and the strength of patients’ addiction (67.9%). Moreover, (61%) of physicians did not spend enough time to convince their patients to quit smoking.
Conclusion: Smoking is common among Gaza-strip physicians, and unfortunately, most of them smoke in the hospital’s public spaces. Many obstacles face the smoking cessation program that some physicians linked it to patients, and others linked it to the health-care system. Furthermore, smokers in Gaza receive poor care regarding assessment, referral, and management of their smoking habit.
Background: Epidemiological studies in smokers indicate a dose-response relationship between the number of cigarettes smoked per day and the risk of developing certain smoking related diseases. The alkaloid nicotine is the major pharmacologically active substance in tobacco.
Objective: To estimate the cotinine level excretion in urine among smoked and smokeless tobacco users and nonsmokers among the Indian population.
Materials and methods: The study sample consisted of 250 subjects who were apparently healthy, asymptomatic and not using any drug. The study sample was divided into smoked tobacco users (bidi and cigarette), smokeless tobacco users, both smoked and smokeless tobacco users and controls (non-users of tobacco in the past or present).
Results: The mean Cotinine level in urine was significantly (p – value < 0.05) more among smoked tobacco users in comparison to smokeless tobacco users and non-users of tobacco. Whereas, the mean Cotinine level in urine was significantly (p – value < 0.05) more among smokeless tobacco users in comparison to non-users of tobacco.
Epifania Ettore*, Pietrantonio Maria, Christian Nunziata and Ausiello Pietro
Published on: 19th December, 2023
The primary objective of this study was to detect the success and short-term survival rate of dental implant prosthetic therapy. The valuation of a possible relationship between the general and local clinical conditions of the patients (presence of risk factors and type of dental implant-supported prosthesis) and the satisfaction perceived by the patient, with success and survival of implant devices was investigated.The sample trial consisted of 23 patients, for a total of 50 dental implants supporting a prosthetic therapy. Preliminarily, an analysis of averages and frequencies of the anamnestic data was presented, as numbers and percentages. The implant success rate was calculated by assessing whether the implants fulfilled the success criteria defined by the Pisa Consensus Conference. The ANOVA test was used to check whether there was an association between the success of the implant device, the anamnestic data collected, and the type of prosthesis supported by the implants. Finally, the survival rate was calculated using the Kaplan - Meier method.The 2-year success rate of 50 implants was assessed at 98%. The 2-year survival rate was 97%. Finally, sex, age, compensated diabetes, a smaller and equal number of cigarettes per day (10 per day), the BOP, and the type of titanium dental implants supported by prosthesis, do not determine a change in success and are therefore not adequate parameters to predict the outcome of implant success. Following the results obtained, it is appropriate to continue the research by expanding the clinical observation times in order to obtain more solid scientific and clinical evidence.
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