The study examined certain interventions by the cost, reachability and result-effectiveness it had with specific problems. The preventions specifically discussed are brief interventions for comorbid alcohol use and depressed mood and web-based approaches as part of a stepped-care model to attempt. The experiment is divided into four conditions of “eligibility criteria of alcohol only, depressed mood only, integrated, and referral-only control,” to see which prevention method was overall most effective. The current study took thousands of diverse college students that could best represent the college community to take part in web-based personalized intervention. The ideal college student each “reported an AUDIT score of 8 or more, a BDI-II score of 14 or more, and reported drinking four (women) or five (men) or more drinks on at least one occasion in the past month.” Significant effects were not necessarily found in the results but obvious improvement was found with greater reduction to alcohol-related problems towards students with initial low levels of depression or alcohol-based consequences. Students who started with intense severity with their problem resulted in lower positive effect from interaction with web-based interventions as treatment. The results were contrary to the primary hypothesis and other studies have concluded no improvement to negative consequences even when reduction in alcohol intake was apparent. Also, mixed results from previous studies have shown “no significant differences on any alcohol outcomes.” This has contributed in finding that it is hard to indicate the correlation between these problems and the positive affect an improvement in one can lead to another. Personally, I don’t see that everyone that forms an alcohol problem will view the matter as an issue or factor in influencing depression or will clinically suffer from or is suffering depression due to the drug. It is not easy to accurately identify the correct data since depression also includes denial of symptoms, which makes it difficult to calculate who has a disease when they don’t believe it themselves to announce they have a problem.