ABSTRACT
Background: Medication adherence is a major challenge in treatment of type 2 diabetes. Hence the pre-sent study was undertaken to assess the factors influencing drug adherence in Type 2 diabetes Benga-luru. Methods: A descriptive study was conducted in urban health training centre Bengaluru for a period of 9 months. A total of 70 type 2 Diabetes patients only on oral drugs willing to give informed consent were included. Institutional Ethical Committee clearance was obtained and pre-tested semi structured proforma was administered and the probable factors that affect adherence was included. Data was en-tered in Microsoft excel and analyzed in SPSS-21. Descriptive statistics and inferential statistics like Bi-nary logistic regression was used to assess the factors influencing drugs. Results: Around 92.8% consumed ?2 drugs and consumed single or combination of drugs. Most com-mon anti-diabetic drug consumed was Biguanides in 64(91.4%). Good adherence (0-2 score) to oral anti-diabetic drugs was observed in 43 (61%) study subjects the factor significantly associated with poor ad-herence in Binary Logistic Regression Model is sometimes forgetting to consume the medication. Conclusion: The factors that influenced oral anti-diabetic drugs good adherence is consuming the medi-cations without forgetting. Efforts are needed to improve adherence and self-management techniques to prevent complications.
ABSTRACT
Context: In dental practical classes, the acoustic environment is characterized by high noise levels in relation to other teaching areas, due to the exaggerated noise produced by some of these devices and use of dental equipment by many users at the same time. Aims: To measure, analyze and compare noise levels of equipments among dental learning areas under different working conditions and also to measure and compare noise levels between used and brand new handpieces under different working conditions. Materials and Methods: Noise levels were measured and analyzed in different dental learning areas that included clinical, pre-clinical areas and laboratories selected as representatives of a variety of learning-teaching activities. The noise levels were determined using a precision noise level meter (CENTER® 325 IEC 651 TYPE II) with a microphone. The mean of the maxima was determined. The data were collected, tabulated, and statistically analyzed using t tests. Results: The noise levels measured varied between 64 and 97 dB(A).The differences in sound levels when the equipment was merely turned on and during cutting operations and also between used and brand new equipments were recorded. The laboratory engines had the highest noise levels, whereas the noise levels in high-speed turbine handpieces and the low-speed contra angle handpieces were decreased. Conclusion: The noise levels detected in this study are considered to be close to the limit of risk of hearing loss.