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39 records · Page 3Linked to original sources

Special report: the truth about condoms. Restrictive label could impede plastic condom sales.

You walk into a drugstore to buy a package of plastic condoms. You happen to notice the label says that no one's sure how well they protect you from pregnancy or sexually transmitted diseases (STDs) like AIDS. Then, the label indirectly points you in the direction of latex condoms. What would you do? Some observers familiar with the condom industry speculate that the restrictive labeling carried on each package of the new plastic condoms for men will not interfere with consumers' purchasing decisions. Other predict an instant replay of the situation faced by makers of the polyurethane Reality female condom: A lack of data on pregnancy rates and STD rates resulted in a label touting latex as a superior product, which in turn caused an onslaught of negative press about the first plastic condom. The US Food and Drug Administration, finding itself in a similar position with approving plastic condoms for men, recently released interim labeling to be followed by all manufacturers who want to sell the new male condoms. Essentially, the manufacturers must point out on the front of the condom box that the product is "for latex-sensitive condom users," and on the back of the box must tell a potential buyer that risks for pregnancy and STDs are not known for the product. Upon reading this disclaimer, the consumer then reads that "latex condoms for men, if used correctly with every act of vaginal intercourse, are highly effective at preventing pregnancy, as well as STDs, including AIDS (HIV infection)."

Condoms↗

[Assessment of the efficiency of population policy measures].

This article is concerned with the relative effectiveness of various population policy measures. "The data sources [for] analysing efficiency (vital statistics, census data, longitudinal and retrospective analysis of fertility, data of public opinion research) and the possible methods (standardization, trend analysis, experimental samples, number of years spent for contraception by co-habitants, component forecasting approach, the analysis of the reproduction process, regression analysis, simulation models) are reviewed." (summary in ENG, RUS)

Data Collection↗