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The average Brit consumes way over the recommended six teaspoons a day recommended by the World Health Organisation.And it’s easy to see why when you consider a can of coke or glass of orange juice can contain around nine teaspoons, a bowl of cereal over three teaspoons and a shop bought sandwich a teaspoon or more.We won’t even think about the 20 teaspoons reportedly found in a large chai latte from a major coffee shop chain.
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RESULTSHIV prevalence was 6.6% (4.0 to 10.2). Violence was reported by 97% (94.7 to 99.1) of the subjects (including cases without personal involvement). Acts of violence such as verbal arguments, physical fights, threats, death threats, theft, and drug trafficking were significantly higher among crack users.
A decrease in frequency of sexual intercourse was observed among users of injected drugs, though prostitution was observed as a means of obtaining drugs. A high number of crack cocaine users had a history of previous imprisonment, many for drug-related infractions. Violence, drug use and sex behaviorViolence was defined as any act against others or oneself (threats, death threat, verbal arguments, physical fights, sexual assault, thefts, injury caused by traffic accidents) and witnessing murder among acquaintances or drug traffickers. The questionnaire included questions about the involvement with any of these types of violent acts.The questionnaire also inquired about history of drug use (injected or other, and the frequency of use) and sexual practices, including use of condoms and number of partners.
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Statistical analysisVariables related to violence were dichotomous (yes/no). Each variable was self-explanatory, for example: “verbal violence” indicates whether the subject experienced any verbal fight within the past six months. All questions were framed in the context of the previous six months.
A descriptive analysis was performed, and associations between variables were verified. All associations were controlled based on the kind of drug used.The Chi-squared (χ 2), Pearson and Fisher Exact tests were used to test hypotheses between categorical variables. The odds ratio (OR), capable of estimating the magnitude of the effect with 95% confidence intervals (CI), was used as an associated measure. To control for possible confounding variables, multivariate analysis was performed using stepwise forward logistic regression, with statistical significance evaluated by the likelihood ratio test, considering p ≤ 0.05 as significant. For variables with a normal distribution, the Student’s t test was used. EPI-INFO, and the software Statistical Package for Social Sciences (SPSS) was used in the development of the databases and application of the descriptive and analytical tests.