Health Division

Pilot project of Tobacco & Alcohol consumption reduction in plantation area with National Authority on Tobacco & Alcohol (NATA)

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Welfare officers from randomly selected estate were  expose to data collection Technics & in-depth interview of family members going to be selected to be studies under the baseline survey plan to conduct to collection of information  to study the Tobacco & Alcohol using in plantation sector 28th September 2016

Dr. Dayaratna Ranatunga, Consultant of NATA, Mr. Somarathna & Mr. Sirimal Peiris together with Dr. Sumith Ananda, Director Health, PHDT were conducted this programme.

Baseline Survey on Alcohol and Tobacco consumption patterns in the Estate Sector

Background

Drinking and smoking a well-known factor, affect plantation community leads to morbidity and mortality of population of productive age group and also creates a number of social and economic issues to the community. Poor intellectual capacity and lack of empowerment to make an informed decision keep plantation community vulnerable to addict alcohol and tobacco and this is a major challenge to success of prevention programmes. other than the health problem, this situation permits number of social and cultural problems such as financial issues, family problems, gender based violence and sexual violence to prevail in this community.

although three are number of preventive programmes implemented in the in the plantation sector successfully, if fails to control the situation because of the environment factors such as lack of education and poor self-esteem. Lack of more focused baseline data sometime hamper the effectiveness of interventions and this consultancy aims to gather specific information related to the subject and influencing factors.

 Objective

  1. Gather specific information on per-capital alcohol and tobacco consumption, influencing factors and the entry points in selected three estates in Nuwara Eliya, Badulla and Bandarawela.
  2. Measure the prevalence of Alcohol and Tobacco use among youth and adolescents age between 16 to 24 years and identify key influencing factors.

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