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Rick S. Zimmerman

Researcher at University of Missouri–St. Louis

Publications -  119
Citations -  9026

Rick S. Zimmerman is an academic researcher from University of Missouri–St. Louis. The author has contributed to research in topics: Population & Condom. The author has an hindex of 48, co-authored 119 publications receiving 8438 citations. Previous affiliations of Rick S. Zimmerman include University of Kentucky & Saint Louis University.

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Health Behavior Theory and cumulative knowledge regarding health behaviors: are we moving in the right direction?

TL;DR: It is argued that increased recognition of the similarity of health behavior constructs as well as increased empirical comparisons of theories are essential for true scientific progress in this line of inquiry.
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Appealing to fear: A meta-analysis of fear appeal effectiveness and theories.

TL;DR: Overall, it is concluded that fear appeals are effective at positively influencing attitude, intentions, and behaviors; there are very few circumstances under which they are not effective; and there are no identified circumstances underwhich they backfire and lead to undesirable outcomes.
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Sensation seeking, impulsive decision-making, and risky sex: implications for risk-taking and design of interventions

TL;DR: In an HIV prevention study, 2949 ninth-grade students in 17 high schools in two Midwestern U.S. cities were administered scales measuring sensation seeking and impulsive decision-making and their separate and combined relationships to a number of indicators of sexual risk-taking.
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Project DARE: No Effects at 10-Year Follow-Up

TL;DR: The present study examined the impact of Project DARE (Drug Abuse Resistance Education), a widespread drug-prevention program, 10 years after administration, and found few differences were found in terms of actual drug use, drug attitudes, or self-esteem.
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Risk factors for early adolescent drug use in four ethnic and racial groups.

TL;DR: While the cumulative prevalence of risk factors bears a monotonic relationship to drug use, ethnic/racial differences in risk factor profiles, especially for Blacks, suggest differential predictive value based on cultural differences.