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Seth M. Noar

Researcher at University of North Carolina at Chapel Hill

Publications -  239
Citations -  15411

Seth M. Noar is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Health communication & Condom. The author has an hindex of 52, co-authored 224 publications receiving 13411 citations. Previous affiliations of Seth M. Noar include University of Kentucky & University of Rhode Island.

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Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions.

TL;DR: A meta-analytic review of the literature on tailored print health behavior change interventions found the sample size-weighted mean effect size of the effects of tailoring on health behaviorchange was found to be r = .074.
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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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A 10-Year Retrospective of Research in Health Mass Media Campaigns: Where Do We Go From Here?

TL;DR: The literature is beginning to amass evidence that targeted, well-executed health mass media campaigns can have small-to-moderate effects not only on health knowledge, beliefs, and attitudes, but on behaviors as well, which can translate into major public health impact given the wide reach of mass media.
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Computer-tailored health interventions delivered over the web: Review and analysis of key components

TL;DR: Tailored, self-guided health interventions delivered via the Web to date have involved a great diversity of features and formats and further outcome research is needed to enhance the understanding of how and under what conditions computer-tailoring leads to positive health outcomes in online behavioral interventions.
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Efficacy of text messaging-based interventions for health promotion: a meta-analysis.

TL;DR: Interventions that used an individualized or decreasing frequency of messages over the course of the intervention were more successful than interventions that used a fixed message frequency and message tailoring and personalization were significantly associated with greater intervention efficacy.