Binary Logistic Regression Analysis to Study Factors Affecting Addiction

The problem of drug addiction is considered one of the most dangerous health, social, and psychological issues facing the world. The research aims to study the effect of some variables on addiction. Factors influencing addiction using the logistic regression model. Cases were classified into addicted and non-addicted based on variations in the level of addiction and the number of times the individual visited the hospital, which represents the dependent variable. The independent variables represent the factors influencing addiction. The sample consists of 160 cases of both genders and various ages, based on a questionnaire that includes 20 questions about the causes of addiction. The results showed that the most significant factors leading to addiction were chronic diseases, imprisonment or detention, as well as smoking and hookah use. The SPSS statistical software was applied to obtain and analyse the results.

• Publication year

  2026

• Venue

  مجلة الإدارة والاقتصاد

• Publication date

  2026-03-02

• Fields of study

  Not labeled

• Identifiers
  DOI 10.31272/jae.i151.1538
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

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• No concepts are published for this paper.

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