Background: Globally, among the leading preventable causes of premature deaths tobacco stands on the top. The consumption patterns of tobacco in various forms of chewing and smoking vary across different regions and socioeconomic levels.
Objectives: To study tobacco consumption pattern in two districts of Gujarat and compare among them.
Methodology: A cross sectional study was carried out on 504 participants during January 2015 to September 2016 among 15-64 years age group. A pre designed and pre tested Questionnaire was used to collect data on tobacco consumption pattern. Descriptive and analytical statistical methods were used for the data analysis.
Results: Smoking was reported among 11.51% and 18.25% in Gandhinagar and Mehsana district respectively. Out of which around 90% of them in both district were smoking daily. 34.52% of the studied population in Mehsana district was using smokeless tobacco as compared to Gandhinagar district (26.19%). Initiation of smoking was in later age as compared to smokeless tobacco.
Conclusion: Present study concludes that large number of people including younger population was using smokeless tobacco in both districts. Early initiation of use of smokeless tobacco suggests an urgent need for action.
In the title compound (systematic name: 8-chloro-11-{1-[(5-methylpyridin-3-yl)methyl]piperidin-4-ylidene}-6,11-dihydro-5H-benzo[5,6]cyclohepta[1,2-b]pyridine), C26H26ClN3, the dihedral angle between the mean planes of the chlorophenyl and cyclohepta[1,2-b]pyridinyl rings fused to the cycloheptane ring is 56.6 (1)°. The mean planes of the cyclohepta[1,2-b]pyridinyl and 5-methylpyridin-3-yl rings are twisted by 64.9 (4)°. The central piperizene group is in a slightly distorted chair configuration. A weak intramolecular C—H⋯N interaction is observed between the cyclohepta[1,2-b]pyridinyl and piperidin-4-ylidene moieties.
In the era of big data, economic competitiveness is assured by decision making leveraging insights gained from large scale yet granular data sets from a rich diversity of areas. In this light, the METIS 1 system collaboratively developed by a team at WPI, the Massachusetts High Tech Council and other institutions, emerges as an analytic platform offering dynamic modeling capabilities. The integrative data source is based on high fidelity cost and talent competitive metrics. METIS extracts, integrates and models rich economic, financial, educational and technological information from renowned public heterogeneous web data sources ranging from The US Census Bureau, The Bureau of Labor Statistics, to Institute of Education Sciences. The METIS technology creates a powerful tool that allows intuitive analysis of the key factors that drive Massachusetts cost and talent competitiveness relevant to high tech companies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.