The objective of the My ParticipACTION campaign was to inspire Canadian adults to increase their physical activity through messaging that was relevant, engaging, and designed to build self-efficacy to be more active. This research examined the communication effects of the campaign according to the a priori Hierarchy of Effects Model (saliency → cognitive engagement → self-efficacy to become more active → trial behavior) and investigated how these effects related to overall self-efficacy for physical activity, intention to be active, and current activity level. Participants (N = 1,110) were recruited from an existing panel of Canadian adults 18 years and older and completed a short online questionnaire about the potential communication effects. Logistic regression models were constructed to test the communication effects adjusting for age, gender, and education. The relations were consistent with those hypothesized in the model. In addition, some earlier outcomes in the sequence of effects were associated with other outcomes further down the progression. When intention to be active was included, the initial relation between ad-specific self-efficacy and current physical activity disappeared. This analysis suggested that the campaign was successful in increasing self-efficacy to be more active and that using the Hierarchy of Effects Model was useful in guiding the design of campaign messages and assessing communication effects. Given the limited amount of theoretical testing of the Hierarchy of Effects Model, future research employing longitudinal designs is required to further confirm the communication effects of such an intervention and further test the model.
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http://dx.doi.org/10.1080/10810730.2015.1012240 | DOI Listing |
Am J Emerg Med
December 2024
Department of Health Policy & Organization, School of Public Health, The University of Alabama at Birmingham, Birmingham, AL, USA; Center for Outcomes and Effectiveness Research and Education, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Background: Leaving before medically advised (BMA) is a significant issue in the US healthcare system, leading to adverse health outcomes and increased costs. Despite previous research, multi-year studies using up-to-date nationwide emergency department (ED) data, are limited. This study examines factors associated with leaving BMA from EDs and trends over time, before and during the COVID-19 pandemic.
View Article and Find Full Text PDFJ Speech Lang Hear Res
January 2025
Department of Communication Sciences and Disorders, Bowling Green State University, OH.
Purpose: The current project aimed to examine the effects of two experimental cognitive-linguistic paradigms, the Stroop task and a primed Stroop task, on speech kinematics and perioral muscle activation.
Method: Acoustic, kinematic, and surface electromyographic data were collected from the verbal responses of 30 young adult healthy control participants in choice response, classic Stroop, and primed Stroop tasks. The classic and primed Stroop tasks included congruent and incongruent trials.
JMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
J Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Obstetrics and Gynaecology, University of Ghana Medical School, Accra, Ghana.
Background: Most studies on respectful maternity care (RMC) and mistreatment of women have focused on intrapartum care with limited information on how women are treated during induction of labor (IOL), pre-labor phase of the maternity care continuum. Emerging multi-country evidence indicates that nearly 30% of women who undergo IOL do not consent to the procedure and constitutes a violation of their rights to optimal maternal health. This study explored women's lived experiences of respectful care and mistreatment during IOL in a tertiary setting in Ghana.
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