Multiple Logistic regression modelling of drug abuse/exposure among the people of Kirinyaga Central, Kenya

Abstract

The research study is to determine the relationship between drug abuse and the major factors that lead to drug abuse putting into consideration gender, and to ascertain if they really lead to drug abuse in the area. These factors include; lack of awareness on the effects of drugs, poverty, unemployment, early child exposure to drugs and other toxic substances, failure of the government agencies, peer pressure, lack of child support centers and rehabilitation centers. The study finds how drug abuse affects social life and economic development of the people of Kirinyaga central through which statistical induction would translate to other sub-counties in Kirinyaga County, the objective of the study is to find the relationship between drug abuse and poverty and unemployment among people of Kirinyaga Central. The research employ a survey design targeting all wards in Kirinyaga central where data was collected from the residents. Stratified sampling technique was used to select two areas for the study from each strata/ward. The sampled areas were stratified according to the size of the population and simple random sampling was used to select 357 respondents from which the data was obtain through questionnaires. Prior to data collection, a pilot study was conducted to ascertain the reliability and validity of the instrumen