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The Global Drug Survey has now closed. Thank you for your participation! Results will be released in mid GDS — Data from over 32, people from over 20 countries were used in the preparation of this report. See our full list of media partners. GDS is an efficient approach to gain content rich data that explores diverse health outcomes associated with the use of drugs and alcohol across the population of your country. GDS can help you add numbers and depth to the findings of more rigorous, though less detailed and smaller, survey findings. Using anonymous on-line research tools, designed and analysed by leading experts in the fields of epidemiology, addiction, criminology, toxicology and sociology GDS has access to drug use data from over , people from over 50 countries. The GDS sampling frame allows you to effectively compare population segments - young, old, males, females, gay, straight, clubbers, thin people, obese people, vegetarians, those with a current psychiatric symptoms and diagnoses, students, northerners, southerners. GDS helps you better understand the quantitative dynamics of personal decision-making about drug use, detects regional differences in patterns of drug use and related harm, and informs novel interventions. GDS creates beautiful data reports, digital health assessment tools and free harm reduction resources that aim to make drug use safer regardless of the legal status of the drug GDS reaches hidden, sentinel and hard to reach populations and puts you on top of emerging drug trends in your country and major cities. Download our PDF brochure. Learn more. If you value our research, we would greatly appreciate your contribution Please help us continue in our work. Our media partners help spread the word worldwide these include Why use GDS? Online resource.

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Background: Emerging evidence suggests a potential association between certain anti-diabetic drugs and a reduced risk of Parkinson's disease PD. Objective: The aim of this study was to assess the risk of PD among individuals with type 2 diabetes mellitus T2DM who were treated with various types of anti-diabetic drugs over time. Data were obtained between the diabetes registration and drug purchase databases of Maccabi Healthcare Services. Time-dependent Cox regression models, adjusted for sex, age, and comorbidities were employed to calculate the adjusted hazard ratios HRs for the PD risk associated with different anti-diabetic drugs over time. Results: The study population comprised 86, T2DM patients, with The mean age at the first anti-diabetic drug purchase was Validation through extensive big-data studies is essential to confirm these results and to optimize PD prevention and management. Keywords: Anti-diabetic drugs; Community-based cohort study; Parkinson's disease; Type 2 diabetes mellitus. Abstract Background: Emerging evidence suggests a potential association between certain anti-diabetic drugs and a reduced risk of Parkinson's disease PD.

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